CN114489170B - System and method for predicting and adjusting temperature in sealed cabin - Google Patents
System and method for predicting and adjusting temperature in sealed cabin Download PDFInfo
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D23/00—Control of temperature
- G05D23/19—Control of temperature characterised by the use of electric means
- G05D23/1927—Control of temperature characterised by the use of electric means using a plurality of sensors
- G05D23/193—Control of temperature characterised by the use of electric means using a plurality of sensors sensing the temperaure in different places in thermal relationship with one or more spaces
- G05D23/1931—Control of temperature characterised by the use of electric means using a plurality of sensors sensing the temperaure in different places in thermal relationship with one or more spaces to control the temperature of one space
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Abstract
The application provides a system and a method for predicting and adjusting the temperature in a sealed cabin, which comprises an in-cabin information acquisition module, a pre-adjustment module and a database module; the cabin information acquisition module comprises a detection point arranged in a cabin, and the detection point is used for acquiring a detection value in the cabin and storing the detection value and the detection time thereof in the database module; the pre-adjusting module is used for predicting and adjusting abnormal conditions occurring in the cabin and comprises a change trend calculating module, a pre-adjusting score module and a result judging module; the change trend calculation module is used for calculating the change trend of the detected values; the pre-adjusting fraction module obtains a pre-adjusting fraction, and adjusting components with corresponding weights are added into the working list according to the pre-adjusting fraction. And the result judging module is used for judging the result generated by the pre-adjusting module. The safety and stability of the cabin are improved.
Description
Technical Field
The application relates to the field of regulation and control of temperature in a sealed cabin, in particular to a system and a method for predicting and adjusting the temperature in the sealed cabin in advance through a temperature change trend.
Background
In modern wars, the closed shelter can provide heat preservation, sealing and electromagnetic shielding spaces for storage and transportation of personnel and various military equipment, and becomes an important component part in a combat command system. The temperature control system in a traditional shelter consists of a sensor and a thermostat. If the real-time temperature in the cabin obtained through the sensor group is too high or too low, the real-time temperature is adjusted through a temperature controller heating or ventilating and cooling mode, and the mode is started when a high-temperature or low-temperature abnormal condition occurs, because the cabin body has very high sealing performance and an electromagnetic shielding layer and is difficult to interact with the outside, when the abnormal condition occurs, the development trend of the abnormal condition is very fast, even if the adjustment is recovered, products in the cabin need to be kept in the abnormal environment for a period of time, and the condition that the adjustment is not recovered due to the problems of lines and the like can occur, so that the cabin can be in the abnormal condition for a long time, the method is very unfavorable for personnel and supporting equipment stored in the cabin, for example, professional electrical equipment can not be started and normally run in the high-temperature or low-temperature environment, leading to the problems of paralysis of the whole command control system and the like. Therefore, the cabin body can be controlled and adjusted in advance to generate a stable and safe heat preservation effect, and meanwhile, due to the limitation of the power supply capacity in the cabin body, the problem of energy conservation and power saving needs to be considered, and resources need to be reasonably distributed according to an abnormal trend.
Disclosure of Invention
In order to solve the problems, the application provides a system for predicting and adjusting the temperature in a sealed cabin, which comprises an in-cabin information acquisition module, a pre-adjustment module and a database module;
the cabin information acquisition module comprises a detection point arranged in a cabin, and the detection point is used for acquiring a detection value in the cabin and storing the detection value and the detection time thereof in the database module;
the database module also comprises a wake-up period of the detection point, a pre-regulation mode, a regulation component corresponding to the pre-regulation mode, a normal numerical range of the pre-regulation mode, a difference threshold value and a variation trend threshold value for starting the pre-regulation mode;
the pre-adjusting module is used for predicting and adjusting abnormal conditions occurring in the cabin and comprises a variation trend calculating module, a pre-adjusting score module and a result judging module;
the change trend calculation module is used for calculating the change trend of the detection values according to the detection values and the awakening period of the detection points;
the pre-adjusting fraction module is used for obtaining a pre-adjusting fraction according to the variation trend of the detection value, and adding the adjusting components with corresponding weights into the working list according to the pre-adjusting fraction, wherein the adjusting components in the pre-adjusting mode enter the working list according to the sequence of the weights from small to large, and the sum of the weights of the adjusting components does not exceed the pre-adjusting fraction;
and the result judging module is used for judging the result generated by the pre-adjusting module according to the detection value presented after the adjusting component works for an awakening period.
Wherein, preferably, the pre-conditioning module comprises high-temperature pre-conditioning and low-temperature pre-conditioning.
Preferably, after an awakening period is finished, the intra-cabin information acquisition module is used for acquiring the numerical values of all the detection points, and taking the average value of the numerical values of all the detection points as a final detection numerical value, or taking the average value of the residual numerical values after the maximum value and the minimum value of the detection points are removed as the final detection numerical value.
The present application also provides a method for predictive regulation of a system for predictive regulation of a temperature in a capsule, as described above, characterized in that it comprises the steps of:
s10, the setting system comprises n cabins, and the cabin H = [ H ]1,H2,H3,…，Hn]Wherein, the ith cabin body is set as HiCabin body HiComprises m pre-adjusting modes, and a cabin body H is arrangediPreset mode HIS = [)1,HIS2,HIS3,…，HISm]Wherein the jth preconditioning mode of the preconditioning modes HIS is HISjJth preconditioning mode HISjComprising r regulating assemblies, setting a preconditioning mode HISjAdjusting assembly IJ = [ ]1,IJ2,IJ3,…，IJr]Wherein the activation weight of the z-th of the adjustment components IJ is set to ωz；
S20, arranging a cabin body HiD detection points are included, the wake-up period of the detection points is mu, and the jth preconditioning mode HIS is setjHas a normal numerical value range of
；
At the kth detection time TkObtaining the numerical values of d detection points to obtain the cabin HiAt TkDetected value of time
；
When the temperature is higher than the set temperature
Then, the process proceeds to step S30;
s30, obtained at TkDetection time T of gamma wakeup periods before timek-γDetected value of (2)
Wherein, in the step (A),
(ii) a Setting Pre-Conditioning mode HISjIs delta0；
When the temperature is higher than the set temperature
If so, the pre-adjusting mode is not started, and the step is ended;
when in use
If yes, the process proceeds to step S40;
s40, calculating to obtain Tk-γTime to TkTendency of variation in detected value between times
(ii) a Setting a variation trend threshold psi0；
When psik＜ψ0When the preset mode is started, the preset mode is not started, and the step is ended;
when psik≥ψ0If so, starting a pre-adjustment mode, and turning to step S50;
s50, according to the variation trend psikCalculating to obtain Tk-γTo TkIn-between preconditioning mode HISjPreset fraction xi ofk；
According to a pre-adjustment fraction xikA preconditioning mode HIS corresponding to the startup weightjThe conditioning assemblies of (1) into a worklist, the conditioning assemblies in the worklist starting to operate, wherein the preconditioning mode HISjThe adjusting components enter the work list according to the order of the weights from small to largeAnd the sum of the weights of the adjustment components does not exceed HISjPreset fraction xi ofk(ii) a Proceed to step S60;
s60, adjusting components in the working list are in TkDetection time T of next wake-up period of timek+1Obtaining a detected value
；
When in use
If yes, the process proceeds to step S61;
when in use
If yes, go to step S62;
s61, continuing to make the adjusting components in the working list keep working until the k + c detection time Tk+cThe obtained detection value
Satisfy the requirement of
；
S62, according to Tk-γTo TkTendency phi of change betweenkAnd TkTo Tk+1Tendency of variation psi between themk+1To obtain a preconditioning mode HISjSecond pre-adjustment fraction xik+1Will correspond to the preconditioning mode HIS of the weightjAdding the adjusting component into a working list; wherein the preconditioning mode HISjThe adjusting components enter the work list according to the sequence of the weights from small to large, and the sum of the weights of the adjusting components does not exceed the HISjSecond pre-adjustment fraction xik+1(ii) a Proceed to step S70;
s70, adjusting components in the working list are in Tk+1Detection time T of next wake-up period of timek+2Obtaining a detected value
；
When in use
If yes, go to step S61;
when in use
And when the pre-cooling fails, pre-cooling alarm is carried out.
In step S20, the method further includes:
when in use
Or
When, start preconditioning mode HISjCorresponding abnormal condition regulation mode, when the abnormal condition regulation mode is started, the pre-regulation mode HISjAll adjustment components of (2) enter a worklist.
It is preferred that, in step S50, the preconditioning mode HISjPre-adjustment fraction xikThe calculation method comprises the following steps:
obtaining Tk-γAnd TkA detected value of a detected time point in between; obtaining the variation trend psi of the detection values of adjacent detection time pointsi(ii) a Setting a basic starting coefficient alpha;
to obtain HISjIs pre-adjusted to a fraction
。
Among them, it is preferable that, in step S50, according to HISjPreset fraction xi ofkThe method for adding the adjusting component corresponding to the starting weight into the work list comprises the following steps:
known HISjAdjusting assembly IJ = [ ]1,IJ2,IJ3,…，IJr]The start-up weight of the corresponding adjusting component is omega1,ω2,ω3,…，
ωr(ii) a Simultaneously omega1To omegarThe weights are increased in sequence;
setting IJjThe j-th regulation component of IJ according to the pre-regulation fraction xikObtaining:
when ω isj+ωj+1+…+ωj+f＜ξk＜ωj+ωj+1+…+ωj+f+1When the current is over;
the adjusting components entering the working list in sequence are as follows: ijj,IJj+1,…，IJj+f。
Wherein, preferably, in step S62, a secondary pre-adjustment coefficient β is set; HIS according to preconditioning modejFirst pre-adjustment fraction xi ofkTo obtain a secondary preconditioning fraction
。
The beneficial effect that this application realized is as follows:
the method and the device can stabilize the condition in the cabin under normal conditions, and can timely discover and reasonably distribute resources to adjust according to the trend condition when abnormal trends occur, so that the problems of safety and performance caused by exposure of products in the cabin to abnormal environments are avoided. The application provides a more efficient and accurate method which can control and adjust the cabin in advance to generate a more stable and safe preservation effect, and meanwhile, the energy-saving effect is improved, and resources are reasonably distributed.
Detailed Description
The technical solutions in the embodiments of the present application are clearly and completely described below, and it is obvious that the described embodiments are some, but not all, embodiments of the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The application provides a system for predicting and adjusting the temperature in a sealed cabin, which comprises an in-cabin information acquisition module, a pre-adjusting module and a database module; the cabin information acquisition module comprises a detection point arranged in a cabin, and the detection point is used for acquiring a detection value in the cabin and storing the detection value and the detection time thereof in the database module; the database module also comprises a wake-up period of the detection point, a pre-regulation mode, a regulation component corresponding to the pre-regulation mode, a normal numerical range of the pre-regulation mode, a difference threshold value and a variation trend threshold value for starting the pre-regulation mode; the pre-adjusting module is used for predicting and adjusting abnormal conditions occurring in the cabin and comprises a change trend calculating module, a pre-adjusting score module and a result judging module; the change trend calculation module is used for calculating the change trend of the detection values according to the detection values and the awakening period of the detection points; the pre-adjusting fraction module is used for obtaining a pre-adjusting fraction according to the variation trend of the detection value, and adding the adjusting components with corresponding weights into the working list according to the pre-adjusting fraction, wherein the adjusting components in the pre-adjusting mode enter the working list according to the sequence of the weights from small to large, and the sum of the weights of the adjusting components does not exceed the pre-adjusting fraction; and the result judging module is used for judging the result generated by the pre-adjusting module according to the detection value presented after the adjusting component works for an awakening period.
The specific operation method comprises the following steps: the circuit arranged in the system provides the operation of adjusting and controlling 8 cabins in total so as to ensure the normal work and stability and safety of the cabins. The system uses a pre-conditioning mechanism, and a specific conditioning module comprises a high-temperature pre-conditioning module, a low-temperature pre-conditioning module, and in other embodiments, a ventilation and humidity pre-conditioning module and the like;
wherein, the high temperature is preconditioned the module and is used for the preconditioning that goes on under certain intensification trend, and the high temperature is preconditioned the module and is included a plurality of cooling assemblies, the cooling assembly can have the same power and also can have different powers, in this embodiment, includes 4 cooling assemblies, specifically sets up to cooling assembly 1, cooling assembly 2, cooling assembly 3, cooling assembly 4. In this embodiment, the cooling module sets the start weights to 1.2, 1.5, 1.8, and 2.1, respectively, according to different power effects.
After the high-temperature pre-regulation mechanism is started, sequentially adding the cooling assemblies into a working list according to the weight from low to high according to the obtained high-temperature pre-starting weight fraction until the sum of the weights of the assemblies exceeds the high-temperature pre-starting weight fraction;
in this embodiment, the cabin body a is provided with 12 temperature detection points, the 12 temperature detection points are uniformly distributed in the cabin, and after one wake-up period each time, the 12 temperature detection points perform one detection acquisition on the temperature of the cabin body a;
suppose that at the first detection time T1Obtaining data values of 12 temperature detection points, and taking the average value as a first detection time T1In-cabin temperature of
(ii) a In addition, the data can be further denoised and optimized by taking the average value of the remaining 10 data values after the maximum value and the minimum value of the 12 temperature detection points are removed. And recording the temperature in the cabin and the acquisition time thereof obtained after the detection of each awakening period.
The normal temperature value in the cabin is set to be within the range
；
When in use
When the average temperature in the cabin exceeds the normal value, the high-temperature triggering mode set in the system is needed to process at the moment;
when the temperature is higher than the set temperature
When the average temperature in the cabin is lower than the normal value, the triggering low-temperature mode set in the system is needed for processing;
when in use
And entering a pre-adjusting step.
The pre-adjusting steps are as follows:
when the k-th detection time TkDetection time T in previous wake-up periodk-γThe detected cabin interior temperature is
Wherein, in the step (A),
；
when in use
Then, calculating to obtain the detection time Tk-γDetection time T to kkIncreasing trend of cabin temperature
(ii) a When psikAt > θ, T is obtainedk-γAnd TkGamma detection time nodes in between;
first period of time trend increment psik1Second time trend increment psik2Until the gamma-th time trend increment psikγ；
Piecewise incremental trend as a coefficient and
multiplying alpha to obtain a cooling fraction:
；
the weights of the four cooling assemblies in the embodiment are P1=1.2, P2=1.5, P3=1.8, and P4=2.1, respectively, according to the calculation
ξk=3.6；
Thus P1+ P2 < xi can be obtainedk＜P1+P2+P3；
Namely, the P1 and P2 components enter a working list in sequence to carry out cooling starting;
cooling in a worklistAfter the component operates for the first cooling time, obtaining the temperature in the cabin at the detection time Tk +1 of the next wakeup period
；
When in use
When the temperature is measured, the pre-cooling mode is effective, and the cooling components in the working list continue to work until the test time Tk+iObtained cabin temperature
；
When in use
And when the temperature is reduced, the pre-cooling mode has no obvious effect, and the temperature reduction components in the work list are continuously enabled to work according to the temperature reduction formula
And obtaining the starting fraction of the secondary cooling component.
E.g., in this embodiment, ξk+1=3.6+1.2= 4.8; p1+ P2+ P3 < xi are obtainedk+1< P1+ P2+ P3+ P4; namely, on the basis of P1 and P2, P3 is added into a work list for cooling and starting;
after the cooling component in the working list operates for the second cooling time, the detection time T of the next awakening periodk+2Obtaining cabin temperature
；
At that time, the pre-cooling mode is indicated to be effective, and the cooling components in the work list are continuously enabled to work until the test is carried out
When in use
And (4) when the pre-cooling mode has no obvious effect and fails, pre-cooling alarm is carried out.
While the preferred embodiments of the present application have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including the preferred embodiment and all changes and modifications that fall within the scope of the present application. It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations as well.
Claims (5)
1. A method for predictive regulation of the temperature in a capsule,
s00, providing a prediction and adjustment system for the temperature in the sealed cabin, which comprises an information acquisition module in the cabin, a pre-adjustment module and a database module;
the cabin interior information acquisition module comprises a detection point arranged in a cabin, and the detection point is used for acquiring a detection value of the temperature in the cabin and storing the detection value and the detection time thereof in the database module;
the database module also comprises a wake-up period of the detection point, a pre-regulation mode, a regulation component corresponding to the pre-regulation mode, a normal numerical range of the pre-regulation mode, a difference threshold value and a variation trend threshold value for starting the pre-regulation mode;
the pre-adjusting module is used for predicting and adjusting abnormal conditions occurring in the cabin and comprises a change trend calculating module, a pre-adjusting score module and a result judging module;
the change trend calculation module is used for calculating the change trend of the detection values according to the detection values and the awakening period of the detection points;
the pre-adjusting fraction module is used for obtaining a pre-adjusting fraction according to the variation trend of the detection value;
the result judging module is used for judging the result generated by the preconditioning module according to the detection value presented after the conditioning component works for an awakening period;
s10, the setting system comprises n cabins, and the cabin H = [ H ]1,H2,H3,…，Hn]Wherein, the ith cabin body is set as HiCabin body HiComprises m pre-adjusting modes, and a cabin body H is arrangediPreset mode HIS = [)1,HIS2,HIS3,…，HISm]Wherein the jth preconditioning mode of the preconditioning modes HIS is HISjJ th preconditioning mode HISjComprising r regulating assemblies, setting a preconditioning mode HISjAdjusting assembly IJ = [ ]1,IJ2,IJ3,…，IJr]Wherein the activation weight of the z-th of the adjustment components IJ is set to ωz；
S20, arranging a cabin body HiD detection points are included, the wake-up period of the detection points is mu, and the jth preconditioning mode HIS is setjHas a normal numerical value range of
；
At the kth detection time TkObtaining the numerical values of d detection points to obtain the cabin HiAt TkDetected value of time
；
When in use
Then, the process proceeds to step S30;
S30obtained at TkDetection time T of gamma wakeup periods before timek-γDetected value of (2)
Wherein, in the step (A),
(ii) a Setting Pre-Conditioning mode HISjHas a difference threshold of delta0；
When in use
If so, the pre-adjusting mode is not started, and the step is ended;
when in use
If yes, the process proceeds to step S40;
s40, calculating to obtain Tk-γTime to TkTendency of variation in detected value between times
(ii) a Setting a variation trend threshold psi0；
When psik＜ψ0When the preset mode is started, the preset mode is not started, and the step is ended;
when psik≥ψ0If so, starting a pre-adjustment mode, and turning to step S50;
s50, according to the variation trend psikCalculating to obtain Tk-γTo TkIn-between preconditioning mode HISjPreset fraction xi ofk；
Wherein the preconditioning mode HISjPreset fraction xi ofkThe calculation method comprises the following steps:
obtaining Tk-γAnd TkA detected value of a detected time point in between; obtaining the variation trend psi of the detection values of adjacent detection time pointsi(ii) a Setting a pre-regulation coefficient alpha;
to obtain a precursorAdjusting score
；
According to a pre-adjustment fraction xikA preconditioning mode HIS corresponding to the startup weightjAdd to the worklist and the regulating component in the worklist starts working, wherein the HIS is knownjAdjusting assembly IJ = [ ]1,IJ2,IJ3,…，IJr]The start-up weight of the corresponding adjusting component is omega1,ω2,ω3,…，ωr(ii) a Simultaneously omega1To omegarThe weights are increased in sequence;
setting IJjThe j-th regulation component of IJ according to the pre-regulation fraction xikObtaining:
when ω isj+ωj+1+…+ωj+f＜ξk＜ωj+ωj+1+…+ωj+f+1When the current is in the normal state;
the adjusting components entering the working list in sequence are as follows: ijj,IJj+1,…，IJj+f；
S60, adjusting components in the working list are in TkDetection time T of next wake-up period of timek+1Obtaining a detected value
；
When the temperature is higher than the set temperature
If yes, the process proceeds to step S61;
when in use
If yes, the process proceeds to step S62;
s61, continuing to make the adjusting components in the working list keep working until the k + c detection time Tk+cThe obtained detection value
Satisfy the requirement of
；
S62, according to Tk-γTo TkTendency phi of change betweenkAnd TkTo Tk+1Tendency phi of change betweenk+1Obtaining a preconditioning mode HISjSecond pre-adjustment fraction xik+1Will correspond to the preconditioning mode HIS of the weightjAdding the adjusting component into a working list; wherein the preconditioning mode HISjThe adjusting components enter the working list according to the sequence of the weights from small to large, and the sum of the weights of the adjusting components does not exceed HISjSecond pre-adjustment fraction xik+1(ii) a Proceed to step S70;
s70, adjusting components in the working list are in Tk+1Detection time T of next wake-up period of timek+2Obtaining a detected value
；
When in use
If yes, the process proceeds to step S61;
when in use
And when the pre-cooling fails, the pre-cooling alarm is carried out.
2. The method for predictive adjustments to the temperature within a capsule as recited in claim 1, further comprising, at step S20:
when the temperature is higher than the set temperature
Or alternatively
When, start preconditioning mode HISjCorresponding abnormal condition regulation mode, when the abnormal condition regulation mode is started, the pre-regulation mode HISjAll adjustment components of (2) enter the worklist.
3. The method of predictively adjusting for temperature within a capsule of claim 1, wherein the preconditioning module includes high-temperature preconditioning and low-temperature preconditioning.
4. The method of claim 1, wherein after an awake period, the on-board information collection module collects values of all probing points, averages the values of all probing points to obtain a final detection value, or averages the remaining values after removing the maximum and minimum values of the probing points to obtain a final detection value.
5. The method for predictive regulation of temperature within a capsule as set forth in claim 1 wherein, in step S62, a secondary preconditioning factor β is set; HIS according to preconditioning modejFirst pre-adjustment fraction xi ofkTo obtain a secondary preconditioning fraction
。
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| CN107166649A (en) * | 2017-05-22 | 2017-09-15 | 青岛海尔空调器有限总公司 | Control method, control device and the air conditioner of independent assortment one-driving-one air conditioner |
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