Pressure relief alarm method and system for perfluorohexanone fire extinguishing equipment

Abstract

The present invention relates to the field of data processing technology, and more specifically, the present invention relates to a pressure relief alarm method and system for perfluorohexanone fire extinguishing equipment, the method comprising: determining the credibility of pressure data during the use of the equipment, using multiple detection windows as detection windows of an interpolation edge operator, obtaining the edge strength of the pressure data in each detection window, using the mean of the credibility of the pressure data in each detection window as the weight of the edge strength corresponding to the corresponding detection window, performing weighted summation on the edge strength corresponding to each detection window, obtaining the final edge strength of the pressure data, and performing mode conversion on the pressure time series according to the compression rate and the final edge strength of the pressure data, and issuing a pressure relief alarm when any sub-mode obtained is determined to be abnormal data. The present invention can improve the accuracy of abnormal detection of pressure data, thereby ensuring the reliability of pressure relief warning.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and more specifically, to a pressure relief alarm method and system for perfluorohexanone fire extinguishing equipment. Background Art

[0002] Perfluorohexanone fire extinguishing equipment is a fire-fighting equipment developed based on the new clean gas fire extinguishing agent perfluorohexanone. It has the advantages of convenient transportation, low fire extinguishing concentration, good insulation, no residue, clean and environmentally friendly, and high fire extinguishing efficiency. However, under high temperature or abnormal conditions, the equipment may release pressure, resulting in internal pressure changes, affecting the safety of the equipment and the fire extinguishing effect. Therefore, in order to ensure the safe and efficient operation of the equipment, it is crucial to promptly warn of abnormal pressure data.

[0003] In the related technology, a method and system for detecting the sealing performance of a hydraulic cylinder body is disclosed in the patent application document with publication number CN117093828A. The method includes: collecting multiple pressure time series data sequences, dividing them into several data sequence segments, and obtaining a quantity sequence and a second difference sequence and the degree of data fluctuation of each data sequence segment according to the data differences and quantities in all data sequence segments, thereby obtaining the pressure relief amount, time stability, and state consistency, thereby obtaining the degree of suspected leakage, and then combining the data mean and the number of local extreme points of all data sequence segments to obtain a matrix adjustment coefficient, thereby obtaining a denoised data sequence, and then combining the pressure threshold to determine whether there is a leak in the hydraulic cylinder body.

[0004] However, the above scheme segments the data based on clustering results. In practical applications, due to the influence of data changes and noise, the pre-set number of clusters may be biased, which may lead to inaccurate segmentation results to a certain extent, thereby affecting the abnormal detection results of pressure data and making it impossible to accurately judge the pressure leakage situation. Summary of the invention

[0005] In order to solve the problem of low accuracy in judging the pressure relief situation due to the inability to accurately detect abnormalities in pressure data, the present invention provides a pressure relief alarm method and system for perfluorohexanone fire extinguishing equipment.

[0006] According to a first aspect of an embodiment of the present invention, a pressure relief alarm method for a perfluorohexanone fire extinguishing device is provided, comprising:

[0007] Obtain the pressure time sequence of the perfluorohexanone fire extinguishing agent during the use of the perfluorohexanone fire extinguishing equipment;

[0008] Determine the mutation of each pressure data in the pressure time series, preset the local range of any pressure data, calculate the credibility of any pressure data, and the credibility is negatively correlated with the average of the average first-order difference and the average second-order difference of the mutation of the pressure data in the local range;

[0009] Using multiple preset detection windows as detection windows of the interpolation edge operator, obtaining the edge strength of any pressure data in each detection window, using the mean of the credibility of the pressure data in each detection window as the weight of the edge strength corresponding to the corresponding detection window, performing weighted summation on the edge strength corresponding to each detection window, and obtaining the final edge strength of any pressure data;

[0010] The preset compression rate and the final edge strength of all pressure data in the pressure time series are used to perform mode conversion on the pressure time series. When any sub-mode obtained is determined to be abnormal data, a pressure relief alarm is issued.

[0011] The present invention calculates the credibility of the pressure data, and uses the mean credibility of the pressure data in each detection window as the weight of the edge strength corresponding to the corresponding detection window, thereby determining the final edge strength of the pressure data, ensuring the accuracy of the final edge strength, thereby improving the accuracy of the detection of abnormal data in the pressure time series, and further accurately performing pressure relief warning.

[0012] Preferably, the final edge strength of any pressure data satisfies the following relationship:

[0013] ;

[0014] In the formula, For the The final edge strength of the pressure data; is the number of detection windows; For the A detection window; For the The pressure data is in The edge strength within a detection window; For the The mean value of the credibility of the pressure data within the detection window; For the A detection window; For the The mean value of the credibility of the pressure data within a detection window.

[0015] The calculation formula for calculating the final edge strength of pressure data provided by the present invention makes the sum of the weights of the edge strengths corresponding to each detection window equal to 1, thereby reducing the difficulty of calculating the final edge strength.

[0016] Preferably, performing mode conversion on the pressure time series includes:

[0017] The preset compression rate and the final edge strength of all pressure data in the pressure time series are used as input data of the IEO representation algorithm of the time series to obtain the edge points in the pressure time series;

[0018] The straight line segment between two adjacent edge points is taken as a sub-mode of the pressure time series, and then all sub-modes of the pressure time series are determined to complete the mode conversion of the pressure time series.

[0019] The present invention performs mode conversion on the pressure time series, thereby retaining the main form of the pressure time series and removing the interference of details, which can better reflect the characteristics of the pressure time series itself and further reduce the influence of noise data to a certain extent.

[0020] Preferably, when it is determined that any of the obtained sub-patterns is abnormal data, a pressure relief alarm is issued, including:

[0021] The anomaly detection algorithm based on time series pattern representation is used to obtain the anomaly factors of all sub-patterns. If the anomaly factor of any sub-pattern is greater than the preset threshold, the sub-pattern is determined to be abnormal data and an alarm is issued.

[0022] The present invention sends out an alarm while determining abnormal data, which can remind the operator that the pressure data is abnormal, so that corresponding measures can be taken in time, thereby ensuring the safety of the perfluorohexanone fire extinguishing equipment during use.

[0023] Preferably, the credibility of any pressure data satisfies the following relationship:

[0024] ;

[0025] In the formula, For the The credibility of the pressure data; For the The average first-order difference of the mutation of all pressure data within the preset range of pressure data; For the The average second-order difference of the mutation of all pressure data within the preset range of pressure data; is the maximum and minimum normalized function; The natural constant An exponential function with base .

[0026] The present invention can comprehensively determine the credibility of pressure data from multiple aspects, thereby ensuring the accuracy of the credibility.

[0027] Preferably, the average first-order difference satisfies the following relationship:

[0028] ;

[0029] In the formula, For the The average first-order difference of the mutation of all pressure data within the preset range of pressure data; For the The number of pressure data within a preset range of pressure data; For the Within the preset range of pressure data, the The mutation of pressure data; For the Within the preset range of pressure data, the The mutation of pressure data; is the absolute value symbol.

[0030] Preferably, the average second-order difference satisfies the following relationship:

[0031] ;

[0032] In the formula, For the The average second-order difference of the mutation of all pressure data within the preset range of pressure data; For the The number of pressure data within a preset range of pressure data; For the The first pressure data within the preset range A first-order difference; For the The first pressure data within the preset range A first-order difference; is the absolute value symbol.

[0033] Preferably, a method for obtaining the mutation of any pressure data includes:

[0034] Calculate the difference between the linear value and the true value of any pressure data, the linear value being the average value between adjacent pressure data of any pressure data;

[0035] The absolute value of the difference is taken as the suddenness of any pressure data.

[0036] According to a second aspect of an embodiment of the present invention, a pressure relief alarm system for perfluorohexanone fire extinguishing equipment is provided. The system includes a memory and a processor. A computer program is stored in the memory. The processor executes the computer program to implement the steps of the first aspect of the embodiment of the present invention.

[0037] The present invention has the following effects:

[0038] The present invention determines the credibility of pressure data by the average first-order difference and the average second-order difference of the mutation of each pressure data within a preset range, thereby ensuring the accuracy of the determined credibility, and uses the mean credibility of the pressure data in each detection window as the weight of the edge strength corresponding to the corresponding detection window, thereby ensuring the accuracy of the determined final edge strength, thereby improving the accuracy of detection of abnormal data in the pressure time series, and further ensuring the accuracy of pressure relief warning. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] By reading the following detailed description with reference to the accompanying drawings, the above and other objects, features and advantages of the exemplary embodiments of the present invention will become readily understood. In the accompanying drawings, several embodiments of the present invention are shown in an exemplary and non-limiting manner, and the same or corresponding reference numerals represent the same or corresponding parts, wherein:

[0040] Figure 1 The present invention is a schematic flow chart of the steps of a pressure relief alarm method for perfluorohexanone fire extinguishing equipment according to an embodiment of the present invention. DETAILED DESCRIPTION

[0041] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0042] The specific embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0043] Reference Figure 1 , a pressure relief alarm method for perfluorohexanone fire extinguishing equipment, comprising steps S1-S4, specifically as follows:

[0044] S1: Obtain the pressure time sequence of the perfluorohexanone fire extinguishing agent during the use of the perfluorohexanone fire extinguishing equipment.

[0045] Specifically, the pressure sensor can be installed in the perfluoroacetone fire extinguishing agent storage unit of the perfluoroacetone fire extinguishing equipment, and then the pressure data of the perfluoroacetone fire extinguishing agent during the use of the perfluoroacetone fire extinguishing equipment is collected at a certain frequency such as 1 Hz during the sampling period to obtain a pressure time series.

[0046] S2: Determine the mutation of each pressure data in the pressure time series, preset the local range of any pressure data, calculate the credibility of any pressure data, and the credibility is negatively correlated with the average of the average first-order difference and the average second-order difference of the mutation of the pressure data in the local range.

[0047] It should be noted that the anomaly detection algorithm based on the time series pattern representation can extract the outliers of the time series on the basis of the time series pattern representation, so as to perform anomaly detection, and when performing pattern conversion on the time series, the interpolated edge operator (IEO) can usually be used to determine the edge strength and interpolation error of each point on the time series to detect the edge points of the time series, so as to represent the original time series by a sequence of straight line segments between the edge points, and obtain the IEO representation of the time series. However, when calculating the edge strength of each point, it may be affected by the noise data, resulting in low accuracy of the determined edge points, making it impossible to accurately segment the original time series, which may affect the accuracy of the anomaly detection algorithm to a certain extent. Therefore, before calculating the edge strength of any pressure data, it is necessary to consider the possibility that the pressure data is noise data.

[0048] The mutation of pressure data refers to data used to measure the possibility that the pressure data is noise data. When the mutation of any pressure data is larger, the possibility that the pressure data is noise data is greater. On the contrary, when the mutation of any pressure data is smaller, the possibility that the pressure data is noise data is smaller.

[0049] The credibility of pressure data refers to data used to measure the accuracy of pressure data. When the credibility of any pressure data is greater, the accuracy of the pressure data is higher. On the contrary, when the credibility of any pressure data is smaller, the accuracy of the pressure data is lower.

[0050] Optionally, the preset range refers to a time series with a length of 13 (unit time) centered on any pressure data, and when the number of pressure data on either side of the pressure data is less than 6, all the pressure data on that side, as well as the pressure data and the 6 pressure data on the other side are used as the preset range of the pressure data. Of course, a suitable range can also be set according to specific circumstances. The length of the range set in this embodiment is determined by empirical values.

[0051] In an exemplary embodiment of the present invention, the determination of the mutation of any pressure data can be achieved by the following steps:

[0052] The difference between the linear value and the true value of any pressure data is calculated, and the linear value is the average value between the adjacent pressure data of any pressure data; the absolute value of the difference is taken as the mutation of any pressure data.

[0053] The linear value refers to the average value between the left adjacent pressure data and the right adjacent pressure data of any pressure data, which is used to determine the mutation of any pressure data. For example, when the difference between the linear value and the actual value of a pressure data is large, the mutation of the pressure data is greater; on the contrary, when the difference between the linear value and the actual value of a pressure data is small, the mutation of the pressure data is smaller.

[0054] Specifically, the mutation of any pressure data in the pressure time series satisfies the following relationship:

[0055] ;

[0056] In the formula, For the The mutation of pressure data; For the The left adjacent pressure data of a pressure data; For the The right adjacent pressure data of a pressure data; For the Pressure data; is the absolute value symbol.

[0057] After determining the mutation of all pressure data within the preset range, the average first-order difference and the average second-order difference of the mutation of each pressure data within the preset range can be calculated. Specifically, the average first-order difference of the mutation of each pressure data within the preset range satisfies the following relationship:

[0058] ;

[0059] In the formula, For the The average first-order difference of the mutation of all pressure data within the preset range of pressure data; For the The number of pressure data within a preset range of pressure data; For the Within the preset range of pressure data, the The mutation of pressure data; For the Within the preset range of pressure data, the The mutation of pressure data; is the absolute value symbol.

[0060] in, Reflects the The first-order difference between the mutations of adjacent pressure data within the preset range of pressure data. The smaller the value, the stronger the correlation between the mutations of the corresponding two pressure data. Reflects the The average first-order difference of the mutation of all pressure data within the preset range of pressure data. The smaller the value, the stronger the correlation of the mutation of all pressure data within the preset range. That is, the higher the correlation between the pressure data and the pressure data within the preset range, the lower the possibility that the pressure data is noise data.

[0061] Furthermore, the average second-order difference of the mutation of each pressure data within the preset range satisfies the following relationship:

[0062] ;

[0063] In the formula, For the The average second-order difference of the mutation of all pressure data within the preset range of pressure data; For the The number of pressure data within a preset range of pressure data; For the The first pressure data within the preset range A first-order difference; For the The first pressure data within the preset range A first-order difference; is the absolute value symbol.

[0064] in, Reflects the The pressure data is within the preset range of The first-order difference, The difference between the first-order differences; Reflects the The average second-order difference of the mutation of all pressure data within the preset range of pressure data. The larger the value, the greater the correlation of the mutation changes of all pressure data within the preset range, and the lower the possibility that the pressure data is noise data.

[0065] Furthermore, the credibility of pressure data satisfies the following relationship:

[0066] ;

[0067] In the formula, For the The credibility of the pressure data; For the The average first-order difference of the mutation of all pressure data within the preset range of pressure data; For the The average second-order difference of the mutation of all pressure data within the preset range of pressure data; is the maximum and minimum normalized function; The natural constant An exponential function with base .

[0068] in, It reflects the noise performance of the pressure data. The larger the value is, the lower the credibility of the pressure data is. On the contrary, the smaller the value is, the higher the credibility of the pressure data is.

[0069] In another embodiment, the credibility of the pressure data may be determined by other formulas, for example, by using the reciprocal of the average of the average first-order difference and the average second-order difference to reflect the negative correlation, and then performing normalization to obtain the credibility of the corresponding pressure data.

[0070] S3: Use multiple preset detection windows as detection windows of the interpolation edge operator, obtain the edge strength of any pressure data in each detection window, use the mean credibility of the pressure data in each detection window as the weight of the edge strength corresponding to the corresponding detection window, perform weighted summation on the edge strength corresponding to each detection window, and obtain the final edge strength of any pressure data.

[0071] It should be noted that when using the interpolation edge operator to determine the edge strength of the pressure data, the selection of the detection window size has a great influence on the determination of the edge strength of the pressure data. For example, when the selected detection window is small, the pressure data may be misjudged as an edge point. If too large a detection window is selected, the calculation efficiency of the edge strength of the pressure data may be reduced. In addition, when the traditional interpolation edge operator determines the edge strength corresponding to the time series, only a single detection window is used. However, a single detection window may not be able to adapt well to the changes in the pressure data and is easily interfered by noise data, thereby reducing the accuracy of the determined edge strength to a certain extent.

[0072] For example, for pressure data If the detection window is a window with the pressure data as the center and a length of 3, if the line connecting the pressure data and the pressure data adjacent to the left of the pressure data shows an upward trend, and the line connecting the pressure data and the pressure data adjacent to the right of the pressure data shows a downward trend, then the interpolation edge operator will determine the pressure data as an edge point.

[0073] Optionally, if the detection window is a window centered on the pressure data and having a length of 5, and the line corresponding to the pressure data on the left side of the pressure data is on an upward trend, and the line corresponding to the pressure data on the right side of the pressure data is also on an upward trend, then under the detection window, the interpolation edge operator will determine the pressure data as normal data. It can be seen that the selection of the detection window has a great influence on the determination of the edge strength of the pressure data. It should be noted that the method of determining edge points using the interpolation edge operator and calculating the edge strength corresponding to the pressure data are prior arts and are not described in detail here.

[0074] Optionally, based on empirical values, the detection window of any pressure data can be set to be centered on the pressure data and have a length of , and , and then use the detection windows of corresponding sizes as the detection windows of the interpolation edge operator to determine the edge strength of any pressure data in the detection windows of length 3, length 5, length 7 and length 9, respectively. In this way, the edge strengths in multiple detection windows can be integrated to ensure the accuracy of the edge strength of the determined pressure data. Of course, a suitable detection window can also be selected according to the specific situation. This embodiment does not specifically limit the selection of the detection window.

[0075] Specifically, the final edge strength of any pressure data satisfies the following relationship:

[0076] ;

[0077] In the formula, For the The final edge strength of the pressure data; is the number of detection windows. ; For the A detection window; For the The pressure data is in The edge strength within a detection window; For the The mean value of the credibility of the pressure data within the detection window; For the A detection window; For the The mean value of the credibility of the pressure data within a detection window.

[0078] in, Reflects the The proportion of the mean credibility value of the pressure data in a detection window to the mean credibility value of the pressure data in all detection windows can ensure that the sum of the weights of the edge strengths corresponding to all detection windows is 1, which can reduce the difficulty of calculating the final edge strength of the pressure data; The larger the value, the The higher the mean credibility of the pressure data in the first detection window, the The pressure data is in The greater the proportion of the edge strength within a detection window in the corresponding final edge strength, the accuracy of the final edge strength of the determined pressure data is ensured, thereby ensuring the accuracy of the edge points in the determined pressure time series.

[0079] S4: using the preset compression rate and the final edge strength of all pressure data in the pressure time series sequence, the pressure time series sequence is subjected to mode conversion, and when any sub-mode obtained is determined to be abnormal data, a pressure relief alarm is issued.

[0080] In an exemplary embodiment of the present invention, the mode conversion of the pressure timing sequence can be achieved by the following steps:

[0081] The preset compression rate and the final edge strength of all pressure data in the pressure time series are used as the input data of the IEO representation algorithm of the time series to obtain the edge points in the pressure time series; the straight line segment between two adjacent edge points is used as a sub-mode of the pressure time series, and then all sub-modes of the pressure time series are determined to complete the mode conversion of the pressure time series.

[0082] Specifically, the compression rate can be set to 70%, and then the compression rate and the final edge degree of all pressure data in the pressure time series sequence are used as input data for the IEO representation algorithm of the time series. The algorithm can determine the edge points that meet the compression rate based on the input data, wherein the straight line segment between adjacent edge points is a sub-mode of the pressure time series, thereby obtaining the IEO representation of the pressure time series composed of all sub-modes to complete the mode conversion of the pressure time series. Of course, the appropriate compression rate can also be set according to the specific situation. This embodiment does not specifically limit the size of the compression rate of the time series. It should be noted that the IEO representation algorithm of the time series determines the edge points under the corresponding compression rate based on the input data, which is a prior art and is not described in detail in this embodiment.

[0083] For example, the pressure timing sequence is , when the edge point set of the time series is determined to be When , then the IEO representation of the timing sequence can be expressed as ,in, is a sub-pattern of the timing sequence.

[0084] In an exemplary embodiment of the present invention, the pressure relief warning can be implemented by the following steps:

[0085] The anomaly detection algorithm based on time series pattern representation is used to obtain the anomaly factors of all sub-patterns. If the anomaly factor of any sub-pattern is greater than the preset threshold, the sub-pattern is determined to be abnormal data and an alarm is issued.

[0086] Specifically, the threshold value can be set to 0.75, and then the abnormality factor of any sub-mode can be calculated using an abnormality detection algorithm based on time series pattern representation. If the abnormality factor of the sub-mode is greater than 0.75, the sub-mode is determined to be abnormal data, and an alarm is issued using an immediate warning device to remind the operator that the pressure data at the corresponding moment is abnormal, and to take corresponding measures to check and handle it in time, or to control the pressure data using the built-in pressure control unit in the perfluorohexanone fire extinguishing equipment to control the stability of the pressure data during the use of the perfluorohexanone fire extinguishing equipment, thereby improving the use efficiency while ensuring the safety of the equipment. It should be noted that the use of an abnormality detection algorithm based on time series pattern representation to calculate the abnormality factor of any sub-mode is a prior art, and this embodiment will not be described in detail here.

[0087] The present invention also provides a pressure relief alarm system for perfluoroacetic acid fire extinguishing equipment. The system includes a memory and a processor, and a computer program is stored in the memory. The computer program integrates the functions of a pressure relief alarm method for perfluoroacetic acid fire extinguishing equipment. When the computer program is executed, the accuracy of pressure data abnormality detection can be improved through the pressure relief alarm method for perfluoroacetic acid fire extinguishing equipment, thereby ensuring the reliability of pressure relief warning.

[0088] In the description of this specification, "plurality" or "several" means at least two, such as two, three or more, etc., unless otherwise clearly and specifically defined.

[0089] Although this specification has shown and described a number of embodiments of the present invention, it will be apparent to those skilled in the art that such embodiments are provided by way of example only. Those skilled in the art will conceive of many modifications, changes and alternatives without departing from the ideas and spirit of the present invention. It should be understood that in the practice of the present invention, various alternatives to the embodiments of the present invention described herein may be employed.

Claims

1. A pressure relief alarm method for perfluorohexanone fire extinguishing equipment, characterized in that: include: Obtain the pressure time sequence of the perfluorohexanone fire extinguishing agent during the use of the perfluorohexanone fire extinguishing equipment; Determine the mutation of each pressure data in the pressure time series, preset a local range of any pressure data, calculate the credibility of any pressure data, and the credibility is negatively correlated with the average of the average first-order difference and the average second-order difference of the mutation of the pressure data in the local range; The credibility of any pressure data satisfies the following relationship: ； In the formula, For the The credibility of the pressure data; For the The average first-order difference of the mutation of all pressure data within the preset range of pressure data; For the The average second-order difference of the mutation of all pressure data within the preset range of pressure data; is the maximum and minimum normalized function; The natural constant An exponential function with base ; Using multiple preset detection windows as detection windows of the interpolation edge operator, obtaining the edge strength of any pressure data in each detection window, using the mean of the credibility of the pressure data in each detection window as the weight of the edge strength corresponding to the corresponding detection window, performing weighted summation on the edge strength corresponding to each detection window, and obtaining the final edge strength of any pressure data; The final edge strength of any pressure data satisfies the following relationship: ； In the formula, For the The final edge strength of the pressure data; is the number of detection windows; For the A detection window; For the The pressure data is in The edge strength within a detection window; For the The mean value of the credibility of the pressure data within the detection window; For the A detection window; For the The mean value of the credibility of the pressure data within the detection window; The preset compression rate and the final edge strength of all pressure data in the pressure time series are used to perform mode conversion on the pressure time series. When any sub-mode obtained is determined to be abnormal data, a pressure relief alarm is issued.

2. The pressure relief alarm method for perfluorohexanone fire extinguishing equipment according to claim 1, characterized in that: The mode conversion of the pressure time series comprises: Using the preset compression rate and the final edge strength of all pressure data in the pressure time series as input data of the IEO representation algorithm of the time series to obtain edge points in the pressure time series; The straight line segment between two adjacent edge points is taken as a sub-mode of the pressure time series sequence, and then all sub-modes of the pressure time series sequence are determined to complete the mode conversion of the pressure time series sequence.

3. The pressure relief alarm method for perfluorohexanone fire extinguishing equipment according to claim 1, characterized in that: When any of the obtained sub-modes is determined to be abnormal data, a pressure relief alarm is issued, including: The anomaly detection algorithm based on time series pattern representation is used to obtain the anomaly factors of all sub-patterns. If the anomaly factor of any sub-pattern is greater than a preset threshold, the sub-pattern is determined to be abnormal data and an alarm is issued.

4. The pressure relief alarm method for perfluorohexanone fire extinguishing equipment according to claim 1, characterized in that: The average first-order difference satisfies the following relationship: ； In the formula, For the The average first-order difference of the mutation of all pressure data within the preset range of pressure data; For the The number of pressure data within a preset range of pressure data; For the Within the preset range of pressure data, the The mutation of pressure data; For the Within the preset range of pressure data, the The mutation of pressure data; is the absolute value symbol.

5. The pressure relief alarm method for perfluorohexanone fire extinguishing equipment according to claim 1, characterized in that: The average second-order difference satisfies the following relationship: ； In the formula, For the The average second-order difference of the mutation of all pressure data within the preset range of pressure data; For the The number of pressure data within a preset range of pressure data; For the The first pressure data within the preset range A first-order difference; For the The first pressure data within the preset range A first-order difference; is the absolute value symbol.

6. The pressure relief alarm method for perfluorohexanone fire extinguishing equipment according to claim 1, characterized in that: The method for obtaining the mutation of any pressure data comprises: Calculate the difference between a linear value and a true value of any pressure data, wherein the linear value is an average value between adjacent pressure data of any pressure data; The absolute value of the difference is taken as the mutation of any pressure data.

7. A pressure relief alarm system for perfluorohexanone fire extinguishing equipment, characterized in that: The pressure relief alarm system for perfluorohexanone fire extinguishing equipment includes a memory and a processor, the memory stores a computer program, and the processor executes the computer program to implement the steps of the method according to any one of claims 1 to 6.

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