Method for detecting internal temperature of heat apparatus
Method for detecting internal temperature of heat apparatus
 CN 101,660,951 A
 Filed: 09/21/2009
 Published: 03/03/2010
 Est. Priority Date: 09/21/2009
 Status: Active Application
First Claim
1. method that detects internal temperature of heat apparatus, this method comprises carries out initialization process to internal temperature of heat apparatus detection problem, pass through initialization process, the initial value of setting refutation process iterations sign k is k=0, but position according to hot equipment temperature range to be detected and detected temperatures interval, that determines heat transfer problem finds the solution zone (Ω
 ) and border thereof, and this border specifically comprises the first border (Γ
of given boundary condition _{1}) and the second border (Γ
_{2}), this find the solution the zone border (Γ
to be detected _{3}), but and this find the solution the Measured Boundary (Γ
of temperature in zone _{4}), set up the steady heat conduction process model that this finds the solution the zone, given border (Γ
to be detected _{3}) on temperature to be detected Initial guess But with Measured Boundary (Γ
_{4}) go up the actual measured value (t of the temperature at each measuring point j place _{j}) step ();
According to known temperature to be detected The k time conjecture value Construct border (Γ
to be detected _{3}) boundary condition, adopt numerical solution to find the solution the direct problem of thermal conduction study, but obtain Measured Boundary (Γ
_{4}) result of calculation (t of temperature _{c}^{k}_{j}) step (two);
Wherein;
j=1,2 ..., n;
I=1,2 ..., n;
But n is Measured Boundary (Γ
_{4}) the last temperature point number that is provided with;
It is characterized in that, on the basis of step () and step (two), also comprise the steps;
(3) but the Measured Boundary (Γ
that utilize to obtain _{4}) result of calculation (t of temperature _{c}^{k}_{j}), but produce Measured Boundary (Γ
_{4}) go up the temperature error (e at each measuring point j place _{j}), if this temperature error (e _{j}) satisfying the iteration stopping condition, then inverting iterative process finishes, and with aforesaid temperature to be detected The k time conjecture value Testing result as internal temperature of heat apparatus;
Otherwise, then enter step (four);
Described iteration stopping condition is Wherein, ε
is predetermined temperature error threshold value, and ε
＞
0;
(4) but for Measured Boundary (Γ
_{4}) on each measuring point j, be provided with and temperature error (e _{j}) corresponding temperature adjustment component (Δ
u _{j}), by selection fuzzy subset, fuzzy subset'"'"'s membership function (μ
) and fuzzy inference rule, but to Measured Boundary (Γ
_{4}) go up the temperature error (e at each measuring point j place _{j}) and corresponding temperature adjustment component (Δ
u _{j}) carry out Fuzzy processing respectively, but set up and Measured Boundary (Γ
_{4}) go up the one dimension fuzzy reasoning unit group (FR of each measuring point j correspondence _{1}, FR _{2}..., FR _{n}), but produce and Measured Boundary (Γ
through fuzzy reasoning _{4}) temperature that goes up each measuring point j correspondence adjusts component (Δ
u _{j}) value;
(5) determine temperature adjustment component (Δ
u _{j}) for each measuring point i to be checked place amount of temperature compensation Weights (w _{Ij}), by to this one dimension fuzzy reasoning unit group (FR _{1}, FR _{2}..., FR _{n}) temperature of output adjusts component (Δ
u _{j}) be weighted comprehensively, obtain the amount of temperature compensation of each measuring point i to be checked And utilize this amount of temperature compensation Treat detected temperatures The k time conjecture value Revise, produce temperature to be detected The k+1 time conjecture value (6) temperature to be detected to produce The k+1 time conjecture value Substitute temperature to be detected The k time conjecture value And as finding the solution zone (Ω
) border (Γ
to be detected _{3}) boundary condition, simultaneously iterations sign k is upgraded, change step (two) over to.
Chinese PRB Reexamination
Abstract
A method for detecting an internal temperature of a heat apparatus refers to a method of employing the fuzzy reasoning technology to perform an inversion on the internal temperature of the heat apparatus. The method is characterized by resolving a problem of detecting the internal temperature of the heat apparatus into a problem of fuzzy reasoning from external temperature observation informationof the apparatus to internal temperature information thereof, and by obtaining the internal temperature of the heat apparatus and the distribution thereof through fuzzy inversion. Compared with the prior method for detecting an internal temperature of a heat apparatus based on an inversion method, the inventive method has great antiillposedness, which can effectively overcome the strong dependence of an inversion result of the internal temperature on an initial predictive value, and which can further effectively inhibit the error amplification during the inversion process of the internal temperature.

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No References
3 Claims

1. method that detects internal temperature of heat apparatus, this method comprises carries out initialization process to internal temperature of heat apparatus detection problem, pass through initialization process, the initial value of setting refutation process iterations sign k is k=0, but position according to hot equipment temperature range to be detected and detected temperatures interval, that determines heat transfer problem finds the solution zone (Ω
 ) and border thereof, and this border specifically comprises the first border (Γ
of given boundary condition _{1}) and the second border (Γ
_{2}), this find the solution the zone border (Γ
to be detected _{3}), but and this find the solution the Measured Boundary (Γ
of temperature in zone _{4}), set up the steady heat conduction process model that this finds the solution the zone, given border (Γ
to be detected _{3}) on temperature to be detected Initial guess But with Measured Boundary (Γ
_{4}) go up the actual measured value (t of the temperature at each measuring point j place _{j}) step ();
According to known temperature to be detected The k time conjecture value Construct border (Γ
to be detected _{3}) boundary condition, adopt numerical solution to find the solution the direct problem of thermal conduction study, but obtain Measured Boundary (Γ
_{4}) result of calculation (t of temperature _{c}^{k}_{j}) step (two);
Wherein;
j=1,2 ..., n;
I=1,2 ..., n;
But n is Measured Boundary (Γ
_{4}) the last temperature point number that is provided with;
It is characterized in that, on the basis of step () and step (two), also comprise the steps; (3) but the Measured Boundary (Γ
that utilize to obtain _{4}) result of calculation (t of temperature _{c}^{k}_{j}), but produce Measured Boundary (Γ
_{4}) go up the temperature error (e at each measuring point j place _{j}), if this temperature error (e _{j}) satisfying the iteration stopping condition, then inverting iterative process finishes, and with aforesaid temperature to be detected The k time conjecture value Testing result as internal temperature of heat apparatus;
Otherwise, then enter step (four);
Described iteration stopping condition is Wherein, ε
is predetermined temperature error threshold value, and ε
＞
0;
(4) but for Measured Boundary (Γ
_{4}) on each measuring point j, be provided with and temperature error (e _{j}) corresponding temperature adjustment component (Δ
u _{j}), by selection fuzzy subset, fuzzy subset'"'"'s membership function (μ
) and fuzzy inference rule, but to Measured Boundary (Γ
_{4}) go up the temperature error (e at each measuring point j place _{j}) and corresponding temperature adjustment component (Δ
u _{j}) carry out Fuzzy processing respectively, but set up and Measured Boundary (Γ
_{4}) go up the one dimension fuzzy reasoning unit group (FR of each measuring point j correspondence _{1}, FR _{2}..., FR _{n}), but produce and Measured Boundary (Γ
through fuzzy reasoning _{4}) temperature that goes up each measuring point j correspondence adjusts component (Δ
u _{j}) value;
(5) determine temperature adjustment component (Δ
u _{j}) for each measuring point i to be checked place amount of temperature compensation Weights (w _{Ij}), by to this one dimension fuzzy reasoning unit group (FR _{1}, FR _{2}..., FR _{n}) temperature of output adjusts component (Δ
u _{j}) be weighted comprehensively, obtain the amount of temperature compensation of each measuring point i to be checked And utilize this amount of temperature compensation Treat detected temperatures The k time conjecture value Revise, produce temperature to be detected The k+1 time conjecture value(6) temperature to be detected to produce The k+1 time conjecture value Substitute temperature to be detected The k time conjecture value And as finding the solution zone (Ω
) border (Γ
to be detected _{3}) boundary condition, simultaneously iterations sign k is upgraded, change step (two) over to.
 ) and border thereof, and this border specifically comprises the first border (Γ

2. according to the method for the described detection internal temperature of heat apparatus of claim 1, it is characterized in that the one dimension fuzzy reasoning unit group (FR described in the step (four) _{1}, FR _{2}..., FR _{n}), but comprise n respectively with Measured Boundary (Γ

_{4}) go up the one dimension fuzzy reasoning unit (FR of each measuring point j correspondence _{j});
This one dimension fuzzy reasoning unit (FR _{j}) be input as temperature error (e _{j}), be output as temperature and adjust component (Δ
u _{j});
With temperature error (e _{j}) and temperature adjustment component (Δ
u _{j}) be divided into 7 grades, i.e. temperature error (e _{j}) and temperature adjustment component (Δ
u _{j}) through the domain (X) after quantizing be;
X＝
{3，
2，
1，
0，
+1，
+2，
+3}Temperature error (e _{j}) fuzzy subset (E _{j}) and temperature adjustment component (Δ
u _{j}) fuzzy subset (U _{j}) be taken as respectively;
E _{j}＝
{NB，
NM，
NS，
ZO，
PS，
PM，
PB}U _{j}＝
{NB，
NM，
NS，
ZO，
PS，
PM，
PB}Wherein, NB is " negative big ", and NM is " in negative ", and NS is " negative little ", and ZO is " zero ", and PS is " just little ", and PM is " center ", and PB is " honest "; Each fuzzy subset NB, and NM, NS, ZO, PS, PM, the subordinate function of PB} (μ
) is selected triangular function for use, one dimension fuzzy reasoning unit (FR _{j}) adopt the ifthen rule to carry out fuzzy reasoning, corresponding fuzzy inference rule sees Table 1;
Table 1FR _{j}The fuzzy inference rule table

_{4}) go up the one dimension fuzzy reasoning unit (FR of each measuring point j correspondence _{j});

3. according to the method for claim 1 or 2 described detection internal temperature of heat apparatus, it is characterized in that, adjust component (Δ
 u in the temperature described in the step (five) _{j}) for each measuring point i to be checked place amount of temperature compensation Weights (w _{Ij}), press following formula and determine;
 u in the temperature described in the step (five) _{j}) for each measuring point i to be checked place amount of temperature compensation Weights (w _{Ij}), press following formula and determine;
Specification(s)