CN117033894A - Negative pressure vacuumizing detection system is prevented in dehydration in twinkling of an eye to closed cold-storage tank - Google Patents
Negative pressure vacuumizing detection system is prevented in dehydration in twinkling of an eye to closed cold-storage tank Download PDFInfo
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- 238000001816 cooling Methods 0.000 description 2
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Abstract
The invention relates to the field of electric digital data processing, in particular to a closed cold storage tank instant water loss negative pressure prevention vacuumizing detection system, which comprises: acquiring negative pressure data; acquiring initial compression tolerance according to the negative pressure data; acquiring a positive neighborhood set and a negative neighborhood set of the negative pressure data at each moment, further acquiring a positive difference mean value and a negative difference mean value of the negative pressure data at each moment, and further acquiring the weight of the negative pressure data at each moment; acquiring the compression tolerance of the negative pressure data at each moment according to the weight of the negative pressure data at each moment; acquiring a trend approximate set of the negative pressure data at each moment, and further acquiring a fulcrum distance adjustment parameter of the negative pressure data at each moment; according to the fulcrum distance adjustment parameters of the negative pressure data at each moment and the compression tolerance of the negative pressure data at each moment, the upper and lower fulcrum distances of the negative pressure data at each moment are obtained, so that the compression data are obtained.
Description
Technical Field
The invention relates to the field of electric digital data processing, in particular to a closed cold storage tank instant water loss negative pressure prevention vacuumizing detection system.
Background
With the rapid global development of the data center industry, the development and construction of the data center are in a high-speed period, when an emergency power failure fault condition occurs in the power system of the data center, a diesel generator set needs to be started to serve as a backup power source, when the diesel generator set works, if no uninterrupted refrigeration exists, the working temperature of a server can be rapidly increased under the high-density condition, and a downtime accident occurs under the serious condition, so that a cold storage tank is arranged in the data center, and a certain amount of cold water is reserved to serve as a backup emergency cold source, thereby meeting the operation requirement of 15min of an air conditioning system of the data center.
The closed cold accumulation tank is used as a device for storing the coolant, the coolant in the cold accumulation tank is pumped by a vacuum pump to cause a negative pressure environment, and the coolant is pumped into a cooling device to absorb heat for cooling the system. When the traditional closed pressure-bearing cold storage tank is designed and manufactured, the situation that the cold storage tank is imbibed under the instant water loss condition is not considered, and when the traditional closed pressure-bearing cold storage tank is used, the air inflow of the reserved exhaust valve is insufficient to offset the water loss due to the rapid water loss in a short time, so that negative pressure is generated in the tank body, when the negative pressure in the tank body exceeds the pressure born by the tank wall, the tank body is vacuumized and imbibed, the imbibed part of the cold storage tank is frequently located in the tank wall and the end socket, the tank wall and the end socket are light, the cold storage tank is seriously deformed and cannot be used, and potential safety hazards are brought to a data center.
Leakage of the cold accumulation tank is a potential hidden danger with small leakage amount, such as negative pressure enhancement caused by coolant loss and air inlet valve blockage, and safety accidents are easily caused by leakage expansion if the leakage is not timely treated, so that long-time data recording and analysis of negative pressure data of the cold accumulation tank are needed, and the performance of a refrigerating system is analyzed and evaluated to obtain potential problems or abnormal and timely maintenance and repair. However, the negative pressure data monitoring of the cold accumulation tank is performed at high frequency for a long time, and a large amount of transmission bandwidth and storage space are consumed, so that data needs to be compressed while the data trend is reserved.
The revolving door algorithm can better keep the trend of data, but the performance and compression efficiency of the revolving door for keeping important data depend on compression toleranceAnd with the same compression tolerance above and below the starting pointThe point of (2) is used as a fulcrum, compression sensitivity cannot be adaptively adjusted according to the change trend and the change direction of negative pressure data, compression efficiency is reduced, and important data is distorted after decompression.
Disclosure of Invention
In order to solve the problems, the invention provides a closed cold accumulation tank instant water loss negative pressure vacuum-proof detection system, which comprises:
the negative pressure data acquisition module acquires negative pressure data;
the initial compression tolerance acquisition module acquires initial compression tolerance according to the negative pressure data;
the compression tolerance module of the self-adaptive negative pressure data acquires a positive neighborhood set and a negative neighborhood set of the negative pressure data at each moment; acquiring a positive difference mean value and a negative difference mean value of the negative pressure data at each moment according to the positive neighborhood set and the negative neighborhood set of the negative pressure data at each moment; acquiring the weight of the negative pressure data at each moment according to the positive difference mean value and the negative difference mean value of the negative pressure data at each moment; acquiring the compression tolerance of the negative pressure data at each moment according to the initial compression tolerance and the weight of the negative pressure data at each moment;
the upper and lower fulcrum distance acquisition module acquires a trend approximate set of negative pressure data at each moment; acquiring fulcrum distance adjustment parameters of the negative pressure data at each moment according to the trend approximate set of the negative pressure data at each moment; acquiring the upper and lower fulcrum distances of the negative pressure data at each moment according to the fulcrum distance adjustment parameters of the negative pressure data at each moment and the compression tolerance of the negative pressure data at each moment;
the compressed data acquisition module acquires compressed data according to the distances between the upper and lower fulcrums of the negative pressure data at each moment;
and the decompression data module is used for storing the compressed data to the negative pressure detection platform and analyzing potential hazards of the cold accumulation tank after decompression.
Preferably, the step of obtaining the initial compression tolerance according to the negative pressure data includes the steps of:
standard deviation of negative pressure dataSetting an initial compression tolerance。
Preferably, the step of obtaining the positive neighborhood set and the negative neighborhood set of the negative pressure data at each moment includes the following steps:
preset number thresholdObtain the firstAfter a single momentNegative pressure data to form the firstAcquiring a positive neighborhood set of negative pressure data at each moment to obtain the firstBefore a moment ofNegative pressure data to form the firstNegative neighborhood set of negative pressure data at each moment.
Preferably, the step of obtaining the positive difference mean value and the negative difference mean value of the negative pressure data at each moment according to the positive neighborhood set and the negative neighborhood set of the negative pressure data at each moment includes the following steps:
in the method, in the process of the invention,is the firstPositive difference mean value of negative pressure data at each moment;is the firstNegative pressure data at each moment;is the firstNegative pressure data at each moment；Is the firstNegative pressure data at each moment;representative of the firstThe number of negative pressure data in the positive neighborhood set of the negative pressure data at each moment;represents the firstThe positive neighborhood set of negative pressure data at each momentNegative pressure data;
in the method, in the process of the invention,is the firstNegative difference average values of negative pressure data at each moment;is the firstNegative pressure data at each moment;is the firstNegative pressure data at each moment;is the firstNegative pressure data at each moment;representative of the firstThe number of negative pressure data in the negative neighborhood set of the negative pressure data at each moment;represents the firstThe negative neighborhood set of negative pressure data at each momentNegative pressure data.
Preferably, the step of obtaining the weight of the negative pressure data at each moment according to the positive difference average value and the negative difference average value of the negative pressure data at each moment includes the following steps:
in the method, in the process of the invention,is the firstWeight of the negative pressure data at the moment;andrespectively the firstNegative difference mean value and positive difference of negative pressure data at momentThe average value;a reference weight that is a negative differential mean;a reference weight that is a forward difference mean;hyperbolic tangent function.
Preferably, the step of obtaining the compression tolerance of the negative pressure data at each moment according to the initial compression tolerance and the weight of the negative pressure data at each moment includes the following steps:
in the method, in the process of the invention,is the firstCompression tolerance of negative pressure data at each moment;is an initial compression tolerance;is the firstWeight of negative pressure data at each time.
Preferably, the acquiring the trend approximate set of the negative pressure data at each moment includes the steps of:
acquisition of the firstTrend approximation set of negative pressure data at each moment: will be the firstNegative pressure data at each time is recorded asObtain the firstFrom moment to momentStandard deviation of negative pressure data at each momentWhen meeting the standard deviation of negative pressure data at all momentsSubtracting the firstFrom moment to momentStandard deviation of negative pressure data at each momentWhen the ratio is greater than or equal to 0, the mixture isAdding a trend approximation setIn (1), the firstNegative pressure data at each time is recorded asObtain the firstFrom moment to momentStandard deviation of negative pressure data at each momentWhen meeting the standard deviation of negative pressure data at all momentsSubtracting the firstFrom moment to momentStandard deviation of negative pressure data at each momentWhen the ratio is greater than or equal to 0, the mixture isAdding a trend approximation setIn the same way, when not satisfied, forThe acquisition of the collection ends.
Preferably, the acquiring the fulcrum distance adjustment parameter of the negative pressure data at each moment according to the trend approximate set of the negative pressure data at each moment includes the steps of:
in the method, in the process of the invention,is the firstFulcrum distance adjustment parameters of the negative pressure data at moment;is the firstNegative pressure data at each momentIs similar to the mean value of the negative pressure data in the set;is the firstThe trend of the negative pressure data at each moment approximates the kurtosis of the negative pressure data in the collection;standard deviation of negative pressure data at all moments;is the firstNegative pressure data at each moment; th () represents a hyperbolic tangent function.
Preferably, the step of obtaining the upper and lower fulcrum distances of the negative pressure data at each moment according to the fulcrum distance adjustment parameter of the negative pressure data at each moment and the compression tolerance of the negative pressure data at each moment includes the steps of:
in the method, in the process of the invention,is the firstThe upper pivot point distance of the negative pressure data at each moment;is the firstThe lower pivot point distance of the negative pressure data at each moment;is the firstCompression tolerance of negative pressure data at each moment;is the firstFulcrum distance adjustment parameters of the negative pressure data at the moment.
Preferably, the step of obtaining compressed data according to the distances between the upper and lower fulcrums of the negative pressure data at each moment includes the steps of:
and compressing the negative pressure data by using a revolving door compression algorithm, compressing the negative pressure data according to the distances between the upper supporting point and the lower supporting point of the compression starting point, compressing the rest negative pressure data according to the distances between the upper supporting point and the lower supporting point of the compression ending point when the compression ending point is obtained, and the like until all the negative pressure data are completely compressed, so as to obtain the compressed data.
The invention has the following beneficial effects: according to the invention, the negative pressure data is acquired, and the initial compression tolerance is acquired according to the overall fluctuation condition of the negative pressure data, so that the problem that the compression efficiency is low due to the small set compression tolerance and the decompressed data is distorted due to the large set compression tolerance is avoided; acquiring a positive neighborhood set and a negative neighborhood set of the negative pressure data at each moment, further acquiring a positive difference mean value and a negative difference mean value of the negative pressure data at each moment, and further acquiring the weight of the negative pressure data at each moment; acquiring the compression tolerance of the negative pressure data at each moment according to the weight of the negative pressure data at each moment, acquiring the weight of each negative pressure data according to the fluctuation degree of other negative pressure data in a neighborhood set of each negative pressure data, correcting the initial compression tolerance, acquiring the compression tolerance of each negative pressure data, and improving the compression efficiency; then, a trend approximate set of negative pressure data at each moment is obtained, and further, a fulcrum distance adjustment parameter of the negative pressure data at each moment is obtained, according to the fulcrum distance adjustment parameter of the negative pressure data at each moment and the compression tolerance of the negative pressure data at each moment, the upper fulcrum distance and the lower fulcrum distance of the negative pressure data at each moment are obtained, when the negative pressure data in the cold storage tank reach a limit, the negative pressure data can continuously change downwards, the trend deviation of the data to be compressed exists in the larger characteristic of the upward change compared with the trend deviation of the compression starting point, the distance of the upper fulcrum and the lower fulcrum is obtained according to the trend deviation characteristic of the data to be compressed, so that the compression tolerance is more biased towards the trend deviation set of the negative pressure data to be compressed, the sensibility of the negative pressure data with the larger difference with the compression starting point is reduced, and the purpose of improving the data compression efficiency is achieved. And obtaining compressed data according to the distances between the upper pivot and the lower pivot of the negative pressure data at each moment, storing the compressed data to a negative pressure detection platform, and analyzing potential hazards of the cold accumulation tank after decompression.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions and advantages of the prior art, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are only some embodiments of the invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
Fig. 1 is a system block diagram of a closed cold accumulation tank instant water loss negative pressure proof vacuumizing detection system according to an embodiment of the invention.
Detailed Description
In order to further explain the technical means and effects adopted by the invention to achieve the preset aim, the following is a detailed description of specific implementation, structure, characteristics and effects of a closed cold accumulation tank instant water loss negative pressure prevention vacuumizing detection system according to the invention with reference to the attached drawings and the preferred embodiment. In the following description, different "one embodiment" or "another embodiment" means that the embodiments are not necessarily the same. Furthermore, the particular features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
The invention provides a specific scheme of a closed cold accumulation tank instant water loss negative pressure prevention vacuumizing detection system, which is specifically described below with reference to the accompanying drawings.
Referring to fig. 1, a closed cold storage tank instant water loss negative pressure vacuum detection system is shown, which comprises the following modules.
The negative pressure data acquisition module 101 acquires negative pressure data inside the cold accumulation tank using a pressure sensor.
In this embodiment, hidden danger in the cold accumulation tank needs to be detected and probed according to the negative pressure data of the cold accumulation tank, so that the pressure data in the cold accumulation tank needs to be collected first. In the embodiment of the invention, the pressure sensor is arranged at the middle part or the upper part in the cold accumulation tank, the coolant is conveyed by the pump in the vacuumizing detection process, the negative pressure data in the cold accumulation tank is monitored at high frequency, and the negative pressure data in the vacuumizing detection process is acquired at the frequency of 0.1 s/time.
So far, the negative pressure data in the cold accumulation tank is collected through the pressure sensor.
The initial compression tolerance acquisition module 102 acquires an initial compression tolerance by analyzing the overall fluctuation condition of the negative pressure data.
It should be noted that, when the negative pressure data is compressed by the traditional revolving door compression algorithm, because the compression tolerance is a preset value, the compression efficiency of the negative pressure data and the accuracy of the negative pressure data after decompression are not related to the trend and fluctuation degree of the negative pressure data, a certain negative pressure data distortion possibility exists, and when the upper and lower fulcra of the negative pressure data are constructed by the compression starting point, the trend sensitivity characteristic of the negative pressure data is not reflected.
It should be further noted that, setting an excessive compression tolerance can cause distortion of negative pressure data after decompression, an excessively small compression tolerance can cause reduction of compression efficiency of the negative pressure data, and the value of the compression tolerance depends on the overall fluctuation degree of the negative pressure data, so that the initial compression tolerance is obtained through analysis of the overall fluctuation condition of the negative pressure data, and because the revolving door algorithm is a compression method for eliminating fluctuation through fitting trend of the negative pressure data, the value of the compression tolerance directly affects fitting effect of fluctuation, therefore, the initial compression tolerance is required to be obtained through analysis of difference of average values of all the negative pressure data compared with the negative pressure data, the larger the difference is, the larger the fluctuation of the negative pressure data compared with the overall trend of the negative pressure data is, the better data compression effect can be obtained through use of larger compression tolerance, the smaller the difference is, the fluctuation of the negative pressure data can be converged as soon as possible through use of smaller compression tolerance, and the purposes of preserving important data and preventing data distortion are achieved.
In the embodiment of the invention, the mean value of the negative pressure data is obtained, and the standard deviation of the negative pressure data is obtainedSetting an initial compression toleranceIt should be noted that, according to the normal distribution model, the range of the standard deviation of the mean plus-minus negative pressure data of the negative pressure data can contain more negative pressure data, so that the standard deviation of the negative pressure data is used as the initial compression tolerance of the global negative pressure data to fit most of the small fluctuation negative pressure data as much as possible, and the compression efficiency and the accuracy of the negative pressure data after decompression are improved.
To this end, an initial compression tolerance is obtained by analyzing the overall fluctuation condition of the negative pressure data.
The compression tolerance module 103 of the self-adaptive negative pressure data obtains the weight of each negative pressure data according to the fluctuation degree of other negative pressure data in the neighborhood set of each negative pressure data, corrects the initial compression tolerance and self-adapts to the compression tolerance of each negative pressure data.
It should be noted that, the initial compression tolerance obtained in the initial compression tolerance obtaining module 102 is the compression tolerance of the global negative pressure data, and the compression efficiency of the revolving door algorithm also depends on the fluctuation degree of the data in the same trend, that is, the fluctuation degree of other negative pressure data in the neighborhood set of each negative pressure data, when the fluctuation degree of other negative pressure data in the neighborhood set of any negative pressure data is smaller, the compression efficiency of the revolving door is higher, when the fluctuation degree of other negative pressure data in the neighborhood set of any negative pressure data is larger, the compression efficiency of the revolving door is lower, at this time, the initial compression tolerance needs to be adaptively changed within the acceptable range of the loss of the negative pressure data, and the compression tolerance of the negative pressure data is adapted by setting a larger weight for the initial compression tolerance.
In an embodiment of the invention, traverse the firstNegative pressure data at each time is recorded asObtain greater than the firstAt a moment ofNegative pressure data is obtainedForward neighborhood set { of negative pressure data at each momentAnd get less than the firstAt a moment ofNegative pressure data is obtainedNegative neighborhood set { of negative pressure data at each momentIn the embodiment of the invention, a number threshold value is setIn other embodiments, the practitioner may set according to the particular implementationIs a value of (2).
According to the firstAcquiring a positive neighborhood set of negative pressure data at each moment to obtain the firstPositive differential mean of negative pressure data at each moment:
in the method, in the process of the invention,is the firstPositive difference mean value of negative pressure data at each moment;is the firstNegative pressure data at each moment;is the firstNegative pressure data at each moment;is the firstNegative pressure data at each moment;representative of the firstThe number of negative pressure data in the positive neighborhood set of the negative pressure data at each moment;is the first after linear fittingFitting values of the negative pressure data; when the first isFitting value of negative pressure data and actual firstThe greater the difference of the negative pressure data, the firstThe larger the positive difference mean value of the negative pressure data at each moment is, the description is thatThe fluctuation degree of other negative pressure data in the positive neighborhood set of the negative pressure data at each moment is larger.
According to the firstNegative neighborhood set of negative pressure data at each moment is obtainedNegative of individual momentsNegative differential mean of pressure data：
In the method, in the process of the invention,is the firstNegative difference average values of negative pressure data at each moment;is the firstNegative pressure data at each moment;is the firstNegative pressure data at each moment;is the firstNegative pressure data at each moment;representative of the firstThe number of negative pressure data in the negative neighborhood set of the negative pressure data at each moment;is the first after linear fittingFitting values of the negative pressure data; when the first isFitting value of negative pressure data and actual firstThe greater the difference of the negative pressure data, the firstThe larger the negative difference mean value of the negative pressure data at each moment is, the description is thatThe fluctuation degree of other negative pressure data in the negative neighborhood set of the negative pressure data at each moment is larger.
It should be noted that, since the rotation gate algorithm is a compression algorithm that is compared with the trend change, the compression efficiency of the rotation gate algorithm is more dependent on the fluctuation change condition of the negative pressure data in the positive neighborhood set of the negative pressure data, and therefore, the compression efficiency of the rotation gate algorithm is the following to the first stepGiving a larger reference weight to the positive difference mean value of the negative pressure data at each moment, and combining with the firstPositive difference mean value and negative difference mean value of negative pressure data at each moment are obtainedWeight of negative pressure data at each time.
In the embodiment of the invention, the first is acquiredWeight of negative pressure data at each time:
in the method, in the process of the invention,is the firstWeight of the negative pressure data at the moment;andrespectively the firstNegative difference mean value and positive difference mean value of negative pressure data at moment,a reference weight that is a negative differential mean;a reference weight that is a forward difference mean; in the embodiment of the invention is provided with，In other embodiments, the practitioner may set according to the particular implementationAnd (3) withIs a value of (2).
According to the firstWeight of negative pressure data at each moment to obtain the firstCompression tolerance of negative pressure data at each instant:
in the method, in the process of the invention,is the firstCompression tolerance of negative pressure data at each moment;is an initial compression tolerance;is the firstWeight of negative pressure data at each time.
So far, the weight of each negative pressure data is obtained according to the fluctuation degree of other negative pressure data in the neighborhood set of each negative pressure data, the initial compression tolerance is corrected, and the compression tolerance of each negative pressure data is self-adapted.
The upper and lower fulcrum distance obtaining module 104 obtains the distance between the upper and lower fulcrums of the compression starting point according to the trend deviation characteristic of the data to be compressed.
It should be noted that, in the conventional revolving door algorithm, a fulcrum is respectively disposed above and below a compression starting point and is recorded as an upper fulcrum and a lower fulcrum, so that the distance from each fulcrum to the compression starting point is a compression tolerance value, but when negative pressure data in a cold storage tank reaches a limit in a vacuumizing detection process, the negative pressure data continues to change downwards, but changes upwards more, so that the data to be compressed has trend deviation compared with the compression starting point, when the trend deviation is greater, the trend deviation is smaller, the trend deviation indicates that the smaller the set of negative pressure data can be fitted with the compression starting point in the compression process, so that the compression efficiency is reduced.
It should be further noted that, in order to change the distance from the upper and lower fulcrums to the compression start point according to the trend deviation characteristic of the data to be compressed, it is first required to obtain a negative pressure data set to be compressed having a trend deviation compared with the compression start point, and the fluctuation degree of the negative pressure data in the negative pressure data set to be compressed having a trend deviation is known to be smaller, that is, the trend of the negative pressure data is more approximate, so that a set selection function is constructed according to the characteristic to obtain a trend approximate set of the start compression point.
In the embodiment of the invention, when the compression starting point is the firstAcquiring the first time negative pressure dataTrend approximation set of negative pressure data at each moment: will be the firstNegative pressure data at each time is recorded asObtain the firstFrom moment to momentStandard deviation of negative pressure data at each momentWhen meeting the standard deviation of negative pressure data at all momentsSubtracting the firstFrom moment to momentStandard deviation of negative pressure data at each momentWhen the ratio is greater than or equal to 0, the mixture isAdding a trend approximation setIn (1), the firstNegative pressure data at each time is recorded asObtain the firstFrom moment to momentStandard deviation of negative pressure data at each momentWhen meeting the standard deviation of negative pressure data at all momentsSubtracting the firstFrom moment to momentStandard deviation of negative pressure data at each momentWhen the ratio is greater than or equal to 0, the mixture isAdding a trend approximation setAnd the likePush, when not satisfied, forThe acquisition of the collection ends.
It should be noted that, given that the trend approximate set of the initial compression point has trend deviation compared with the initial compression point, the smaller the set of negative pressure data that the initial compression start point can fit, the compression efficiency is low, at this time, the better adaptation to the data trend to be compressed is needed by adjusting the distance from the initial compression point to the upper and lower fulcrums, so as to achieve the purpose of improving the compression efficiency, and when the trend deviation degree is larger, the greater the distance adjustment degree from the initial compression point to the upper and lower fulcrums is, and when the trend deviation degree is smaller, the smaller the distance adjustment degree from the initial compression point to the upper and lower fulcrums is, so that the invention obtains the fulcrum distance adjustment parameter of the initial compression point according to the trend approximate set of the initial compression point compared with the trend deviation existing in the initial compression point.
In the embodiment of the invention, when the compression starting point is the firstAcquiring the first time negative pressure dataThe tendency of the negative pressure data at each moment approximates the kurtosis of the negative pressure data in the set, and the kurtosis is obtained by a known technique, and in the embodiment of the present invention, detailed description is omitted.
Acquisition of the firstFulcrum distance adjustment parameters of negative pressure data at each moment:
in the middle ofIs the firstFulcrum distance adjustment parameters of the negative pressure data at moment;is the firstThe trend of the negative pressure data at each moment approximates the mean value of the negative pressure data in the set;is the firstThe mean value of the negative pressure data in the trend approximation set of the negative pressure data at each moment is compared with the firstThe difference of negative pressure data at each time represents the firstTrend approximation set of negative pressure data at each moment in time is compared with the firstTrend shift degree of negative pressure data at each time, when trend shift degree is larger, the firstThe greater the fulcrum distance adjustment parameter of the negative pressure data at each moment, the description will be given to the firstThe greater the adjustment degree of the distance from the negative pressure data to the upper and lower fulcra at each moment, the more the fulcra is compared with the firstThe distance of the negative pressure data at each moment is farther;is the firstNegative pressure data at each momentKurtosis of negative pressure data in the trend approximation set whenThe greater the value of (2), the description that the negative pressure data in the trend approximate set is inThe higher the degree of aggregation in the vicinity, i.e. the firstTrend approximation set of negative pressure data at each moment in time is compared with the firstThe greater the trend deviation degree of the negative pressure data at each moment, the more should the fulcrum distance adjustment parameters be used for adjusting the upper fulcrum and the lower fulcrum to the first fulcrumThe distance of the negative pressure data at each moment;standard deviation of negative pressure data at all times.
It should be noted that, when the trend approximate set of the compression start point is offset upward compared with the compression start point, the fulcrum distance adjustment parameter of the start compression point is greater than 0, at this time, the upper fulcrum distance of the compression start point is increased, the lower fulcrum distance of the compression start point is reduced, when the trend approximate set of the compression start point is offset downward compared with the compression start point, the fulcrum distance adjustment parameter of the start compression point is less than 0, at this time, the upper fulcrum distance of the compression start point is reduced, and the lower fulcrum distance of the compression start point is increased.
In the embodiment of the invention, when the compression starting point is the firstNumber of negative pressure at each momentAccordingly, obtain the firstUpper and lower fulcrum distances of negative pressure data at each moment:
in the method, in the process of the invention,is the firstThe upper pivot point distance of the negative pressure data at each moment;is the firstThe lower pivot point distance of the negative pressure data at each moment;is the firstCompression tolerance of negative pressure data at each moment;is the firstFulcrum distance adjustment parameters of the negative pressure data at moment; when (when)At this time the firstThe upper pivot point distance of the negative pressure data at each moment is compared with that of the firstCompression tolerance of negative pressure data at each instantThe trend of the negative pressure data in the trend approximation set is shifted upwards; when (when)At this time the firstThe distance of the lower pivot point of the negative pressure data at each moment is compared with that of the firstCompression tolerance of negative pressure data at each instantThe larger, i.e. the trend of the data to be compressed shifts downwards.
So far, the distance between the upper fulcrum and the lower fulcrum of the compression starting point is obtained according to the trend deviation characteristic of the data to be compressed.
The compressed data acquisition module 105 compresses the negative pressure data using the fulcrum step distances of the respective compression start points.
And compressing the collected negative pressure data by using a revolving door compression algorithm, compressing the negative pressure data to be compressed according to the distances between the upper supporting point and the lower supporting point of the compression starting point, compressing the negative pressure data to be compressed according to the distances between the upper supporting point and the lower supporting point of the compression ending point when the compression ending point is obtained, and the like. Until all negative pressure data is compressed to a stop. Thus, compressed data is obtained.
And the decompression data module 106 is used for storing the compressed data to the negative pressure detection platform and analyzing potential hazards of the cold accumulation tank after decompression.
And storing the compressed data to a negative pressure vacuumizing detection platform, and analyzing after decompression to detect potential hazards of the cold storage tank. When the analysis result shows that potential safety hazards can exist, the electric control valve is additionally arranged at the water inlet and the water outlet of the cold storage tank body and the water drain port, the pressure real-time detection device is arranged, the tank body negative pressure detected by the pressure real-time detection device is transmitted to the intelligent control box, when the negative pressure reaches a certain value, the three electric control valves are controlled to be closed, so that the tank body does not lose water any more, the vacuum explosion venting valve is additionally arranged, and the cold storage tank with the potential hazards can continuously and stably run.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, alternatives, and improvements that fall within the spirit and scope of the invention.
Claims (10)
1. The utility model provides a negative pressure evacuation detecting system is prevented in water loss in twinkling of an eye to closed cold-storage jar which characterized in that, the system includes:
the negative pressure data acquisition module acquires negative pressure data;
the initial compression tolerance acquisition module acquires initial compression tolerance according to the negative pressure data;
the compression tolerance module of the self-adaptive negative pressure data acquires a positive neighborhood set and a negative neighborhood set of the negative pressure data at each moment; acquiring a positive difference mean value and a negative difference mean value of the negative pressure data at each moment according to the positive neighborhood set and the negative neighborhood set of the negative pressure data at each moment; acquiring the weight of the negative pressure data at each moment according to the positive difference mean value and the negative difference mean value of the negative pressure data at each moment; acquiring the compression tolerance of the negative pressure data at each moment according to the initial compression tolerance and the weight of the negative pressure data at each moment;
the upper and lower fulcrum distance acquisition module acquires a trend approximate set of negative pressure data at each moment; acquiring fulcrum distance adjustment parameters of the negative pressure data at each moment according to the trend approximate set of the negative pressure data at each moment; acquiring the upper and lower fulcrum distances of the negative pressure data at each moment according to the fulcrum distance adjustment parameters of the negative pressure data at each moment and the compression tolerance of the negative pressure data at each moment;
the compressed data acquisition module acquires compressed data according to the distances between the upper and lower fulcrums of the negative pressure data at each moment;
and the decompression data module is used for storing the compressed data to the negative pressure detection platform and analyzing potential hazards of the cold accumulation tank after decompression.
2. The closed cold accumulation tank instant water loss negative pressure proof vacuumizing detection system according to claim 1, wherein the step of obtaining initial compression tolerance according to negative pressure data comprises the steps of:
standard deviation of negative pressure dataSetting an initial compression tolerance +.>。
3. The closed cold accumulation tank instant water loss negative pressure prevention vacuumizing detection system according to claim 1, wherein the step of obtaining a positive neighborhood set and a negative neighborhood set of negative pressure data at each moment comprises the following steps:
preset number thresholdObtain->Post-time->Negative pressure data, constitute->Acquiring a positive neighborhood set of negative pressure data at each moment to obtain the +.>Before the moment->Negative pressure data, constitute->Negative pressure at each momentNegative neighborhood set of data.
4. The closed cold accumulation tank instant water loss negative pressure prevention vacuumizing detection system according to claim 1, wherein the step of obtaining the positive difference mean value and the negative difference mean value of the negative pressure data at each moment according to the positive neighborhood set and the negative neighborhood set of the negative pressure data at each moment comprises the following steps:
in the method, in the process of the invention,is->Positive difference mean value of negative pressure data at each moment; />Is->Negative pressure data at each moment; />Is->Negative pressure data at each moment; />Is->Negative pressure data at each moment; />Representative at +.>The number of negative pressure data in the positive neighborhood set of the negative pressure data at each moment; />Represents->First +.in forward neighborhood set of negative pressure data at each moment>Negative pressure data;
in the method, in the process of the invention,is->Negative difference average values of negative pressure data at each moment; />Is->Negative pressure data at each moment; />Is->Negative pressure data at each moment; />Is->Negative pressure data at each moment; />Representative at +.>The number of negative pressure data in the negative neighborhood set of the negative pressure data at each moment; />Represents->First +.in negative neighborhood set of negative pressure data at each moment>Negative pressure data.
5. The closed cold accumulation tank instant water loss negative pressure prevention vacuumizing detection system according to claim 1, wherein the step of obtaining the weight of the negative pressure data at each moment according to the positive difference mean value and the negative difference mean value of the negative pressure data at each moment comprises the following steps:
in the method, in the process of the invention,is->Weight of the negative pressure data at the moment; />And->Respectively +.>Negative difference mean value and positive difference mean value of negative pressure data at moment; />A reference weight that is a negative differential mean; />A reference weight that is a forward difference mean; />Hyperbolic tangent function.
6. The closed cold accumulation tank instant water loss negative pressure prevention vacuumizing detection system according to claim 1, wherein the step of obtaining the compression tolerance of the negative pressure data at each moment according to the initial compression tolerance and the weight of the negative pressure data at each moment comprises the following steps:
in the method, in the process of the invention,is->Compression tolerance of negative pressure data at each moment; />Is an initial compression tolerance; />Is->Weight of negative pressure data at each time.
7. The closed cold accumulation tank instant water loss negative pressure prevention vacuumizing detection system according to claim 1, wherein the trend of obtaining the negative pressure data at each moment is approximately collected, and the method comprises the following steps:
acquisition of the firstTrend approximation set of negative pressure data at each moment +.>: will be->Negative pressure data at each moment, noted +.>Obtain->Time to->Standard deviation of negative pressure data at each moment +.>Standard deviation +.of negative pressure data when all times are satisfied>Minus->Time to->Standard deviation of negative pressure data at each moment +.>When the ratio is more than or equal to 0, the ratio is->Add trend approximation set ++>In (1), will be->Negative pressure data at each moment, noted +.>Obtain->Time to->Standard deviation of negative pressure data at each moment +.>Standard deviation +.of negative pressure data when all times are satisfied>Minus->Time to->Standard deviation of negative pressure data at each moment +.>When the ratio is more than or equal to 0, the ratio is->Add trend approximation set ++>In the same way, when not satisfied, forThe acquisition of the collection ends.
8. The closed cold accumulation tank instant water loss negative pressure prevention vacuumizing detection system according to claim 1, wherein the fulcrum distance adjustment parameter of the negative pressure data at each moment is obtained according to the approximate trend set of the negative pressure data at each moment, and the method comprises the following steps:
in the method, in the process of the invention,is->Fulcrum distance adjustment parameters of the negative pressure data at moment; />Is->The trend of the negative pressure data at each moment approximates the mean value of the negative pressure data in the set; />Is->The trend of the negative pressure data at each moment approximates the kurtosis of the negative pressure data in the collection; />For the number of negative pressure at all timesStandard deviation according to the data; />Is->Negative pressure data at each moment; th () represents a hyperbolic tangent function.
9. The system for detecting instantaneous water loss and negative pressure prevention and vacuum pumping of a closed cold accumulation tank according to claim 1, wherein the step of obtaining the upper and lower fulcrum distances of the negative pressure data at each moment according to the fulcrum distance adjustment parameter of the negative pressure data at each moment and the compression tolerance of the negative pressure data at each moment comprises the following steps:
in the method, in the process of the invention,is->The upper pivot point distance of the negative pressure data at each moment; />Is->The lower pivot point distance of the negative pressure data at each moment; />Is->Compression tolerance of negative pressure data at each moment; />Is->Fulcrum distance adjustment parameters of the negative pressure data at the moment.
10. The system for detecting instantaneous water loss and negative pressure prevention and vacuum pumping of a closed cold accumulation tank according to claim 1, wherein the step of obtaining compression data according to the distances between upper and lower fulcrums of the negative pressure data at each moment comprises the steps of:
and compressing the negative pressure data by using a revolving door compression algorithm, compressing the negative pressure data according to the distances between the upper supporting point and the lower supporting point of the compression starting point, compressing the rest negative pressure data according to the distances between the upper supporting point and the lower supporting point of the compression ending point when the compression ending point is obtained, and the like until all the negative pressure data are completely compressed, so as to obtain the compressed data.
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