A sensor-based abnormal monitoring system for the production process of composite insulation boards

Abstract

The present invention relates to the field of abnormal monitoring technology, specifically to a sensor-based composite insulation board production process abnormal monitoring system, the system includes a pressure data acquisition module, a local pressure anomaly detection module, a stress hysteresis analysis module, a pressure accumulation evaluation module, and an abnormal area classification module. In the present invention, by calculating the pressure change rate and its deviation, the abnormal pressure accumulation diffusion area in the composite insulation board production process is accurately identified, and the area with obvious delay in pressure response is screened by the rate change hysteresis value, which is helpful to identify the force abnormality caused by uneven pressure transmission, compare the pressure accumulation ratio of adjacent areas, combine the pressure hysteresis and cumulative trend analysis, comprehensively evaluate the pressure characteristics of the abnormal area, distinguish short-term, delayed and long-term pressure anomalies, and improve the accuracy of abnormal identification, so that the abnormal warning does not only stay at the problem discovery level, but also provides more effective data support for optimizing process adjustments.

Description

Technical Field

[0001] The present invention relates to the technical field of abnormality monitoring, and in particular to a sensor-based abnormality monitoring system for a composite thermal insulation board production process. Background Art

[0002] The field of abnormal monitoring technology includes real-time monitoring and data analysis of various industrial, environmental or system operating conditions to identify abnormal situations and take corresponding measures. The core content includes sensor-based data acquisition, signal analysis, threshold setting and abnormal detection strategies. Abnormal monitoring is widely used in manufacturing, medical equipment, smart buildings and traffic management. It uses sensor equipment to obtain physical quantity change data, combines statistical analysis and mathematical modeling methods to extract features, and uses rule setting or pattern recognition methods to judge abnormal conditions. Its overall technical system involves a variety of sensing methods, such as pressure, temperature, humidity, vibration, acoustic and optical sensing, etc., and combines specific detection mechanisms to achieve continuous monitoring of equipment, production processes or environmental conditions.

[0003] Among them, the sensor-based composite insulation board production process abnormality monitoring system refers to a system that uses sensors to monitor key physical parameters such as temperature, humidity, pressure and flow rate involved in the production process of composite insulation boards, and identifies abnormal situations through data comparison. Sensors are used to collect data on the operating status of production equipment, changes in material ratios, and molding process parameters, and analyze them in combination with the set monitoring standards. In terms of specific methods, temperature sensors are used to monitor the temperature distribution of the heating process, humidity sensors detect changes in the moisture content of raw materials, pressure sensors record pressure changes during the lamination process, and flow rate detection devices measure the flow rate of the glue in the gluing process. By comparing the preset range, it is determined whether there is an abnormality.

[0004] In the existing abnormal monitoring process of the composite insulation board production process, it mainly relies on single-point data collection and static threshold judgment methods, which makes it difficult to accurately identify the dynamic changes of pressure over time. Since the existing methods usually only judge abnormalities based on instantaneous data, the lag and cumulative effects in the pressure transmission process are ignored, which limits the capture of abnormal states. The pressure data collection method fails to fully consider the time dimension, so that some short-term fluctuations may be misjudged as abnormalities, and long-term accumulated pressure anomalies may not be identified in time, affecting the monitoring system's control of production stability. In addition, the existing methods analyze the pressure transmission path in a rough manner, and fail to deeply examine the pressure diffusion rate and lag effect between adjacent areas, which may cause the accumulation of abnormalities in local areas to be ignored, thereby affecting the quality of the finished product. The imbalance of pressure distribution is often the key factor leading to production instability, and the existing technology lacks a detailed analysis of the pressure accumulation trend, making it impossible to effectively predict the pressure anomaly in the local area, resulting in uneven stress in the production process of composite insulation boards, thereby affecting the equipment operation stability and the product qualification rate of composite insulation boards. Summary of the invention

[0005] The purpose of the present invention is to solve the shortcomings in the prior art and to propose a sensor-based composite insulation board production process abnormality monitoring system.

[0006] In order to achieve the above-mentioned purpose, the present invention adopts the following technical scheme: A sensor-based composite insulation board production process abnormality monitoring system comprises:

[0007] The pressure data acquisition module obtains the sensor data of the composite insulation board lamination equipment, sets a fixed sampling period to record and store the pressure data of each sensor point, calculates the pressure change range of each area within a fixed time window, and obtains the stable pressure time series data;

[0008] The local pressure anomaly detection module calculates the pressure change rate of the laminating roller and the pressure plate sensor points in adjacent time periods according to the stable pressure time series data, calculates the pressure change rate deviation of adjacent areas on the same pressure transmission path, determines whether there is an abnormal pressure accumulation and diffusion area, and obtains the analysis result of the local pressure abnormal area;

[0009] The stress hysteresis analysis module calculates the rate change hysteresis value of the adjacent area according to the analysis result of the local pressure abnormal area, marks the hysteresis stress abnormal area and calculates the pressure response diffusion rate, determines the long-term hysteresis area, and obtains the pressure hysteresis distribution analysis result;

[0010] The pressure accumulation evaluation module calculates the pressure accumulation value of each area per unit time based on the steady pressure time series data, calculates the pressure accumulation ratio of adjacent areas, marks the pressure accumulation abnormal area, and obtains the pressure accumulation trend analysis record.

[0011] As a further solution of the present invention, the steady pressure time series data includes the time series matrix of each pressure sensor point, the pressure change range of each area, and the single point mutation value elimination data; the local pressure abnormal area analysis results include the pressure change rate data, the pressure change rate deviation data, and the abnormal pressure accumulation diffusion area; the pressure hysteresis distribution analysis results include the rate change hysteresis value, the hysteresis stress abnormal area, the pressure response diffusion rate data, and the long-term hysteresis area; the pressure accumulation trend analysis record includes the pressure accumulation value per unit time, the pressure accumulation ratio of adjacent areas, and the pressure accumulation abnormal area.

[0012] As a further solution of the present invention, the pressure data acquisition module includes:

[0013] The pressure data recording submodule arranges pressure sensors at the laminating roller, pressing plate, and conveyor belt, collects the instantaneous pressure value of the pressure sensor, sets a fixed sampling period and records the pressure data, and generates a time series matrix;

[0014] The pressure change calculation submodule calculates the pressure change range of each area within a fixed time window according to the time series matrix, using the formula:

[0015] ;

[0016] Computing Sensors Pressure change , obtain the pressure change data of each sensor point, where, Representative time Time sensor The pressure value, Represents the total time step of the calculation time window;

[0017] The steady pressure screening submodule compares the mutation judgment threshold based on the pressure change data of each sensor point, removes the single point mutation value, and outputs the steady pressure time series data.

[0018] As a further solution of the present invention, the local pressure anomaly detection module includes:

[0019] The pressure change rate calculation submodule analyzes the pressure change rate of the laminating roller and the pressure plate sensor points in adjacent time periods based on the steady pressure time series data, using the formula:

[0020] ;

[0021] Computing Sensors In time The pressure change rate value , obtain the pressure change rate data of the sensor point, where, Representative time Time sensor The pressure value, represents adjacent time steps;

[0022] The adjacent area pressure deviation screening submodule calculates the pressure change rate deviation of adjacent areas on the same pressure transmission path based on the pressure change rate data of the sensor point, screens the area where the deviation exceeds the pressure deviation threshold, and outputs the adjacent area pressure change rate deviation data;

[0023] The abnormal pressure accumulation judgment submodule analyzes the rate change trend in the continuous time window based on the pressure change rate deviation data of the adjacent areas, determines whether there is an abnormal pressure accumulation diffusion area, and obtains the analysis result of the local pressure abnormal area.

[0024] As a further solution of the present invention, the stress hysteresis analysis module includes:

[0025] The rate change hysteresis calculation submodule adopts the formula based on the analysis results of the local pressure abnormal area:

[0026] ;

[0027] Calculate neighboring areas The accumulated value of the rate lag between , output the hysteresis value data of the rate change of adjacent areas, where, Representative time Time zone The rate of change of pressure, Representative time Time zone The rate of change of pressure, represents the time lag step, Represents the total time step of the calculation time window;

[0028] The hysteresis stress screening submodule screens the area whose hysteresis time is greater than the hysteresis threshold value according to the rate change hysteresis value data of the adjacent area, marks it as the hysteresis stress abnormal area, and obtains the hysteresis stress abnormal area marking record;

[0029] The pressure hysteresis diffusion analysis submodule calculates the pressure response diffusion rate of each hysteresis stress anomaly based on the hysteresis stress anomaly area mark record, analyzes whether there is a long-term hysteresis area in the pressure transmission path, and obtains the pressure hysteresis distribution analysis result.

[0030] As a further solution of the present invention, the pressure accumulation assessment module includes:

[0031] The pressure accumulation calculation submodule obtains the pressure sensor data of the difference area of ​​the laminating equipment based on the steady pressure time series data, and integrates the pressure value per unit time using the formula:

[0032] ;

[0033] Calculation area Pressure accumulation value , output regional pressure accumulation data, where, Representative time Time zone The pressure value, represents the sampling time step, Represents the total time step of the calculation time window;

[0034] The pressure accumulation ratio calculation submodule calculates the pressure accumulation ratio of the adjacent areas according to the pressure accumulation value data of the area, and statistically outputs the pressure accumulation ratio data of the adjacent areas;

[0035] The pressure accumulation anomaly screening submodule analyzes whether there is uneven regional pressure accumulation based on the pressure accumulation ratio of the adjacent areas, compares it with the preset pressure accumulation ratio threshold, screens the areas where the ratio deviates from the normal range, marks them as pressure accumulation anomaly areas, and obtains pressure accumulation trend analysis records.

[0036] As a further solution of the present invention, the system further includes an abnormal area classification module.

[0037] The abnormal area classification module analyzes the pressure characteristics of the abnormal area during the lamination process of the composite insulation board based on the pressure hysteresis distribution analysis results and the pressure accumulation trend analysis records, calculates the stability coefficient of the hysteresis pressure abnormal area, compares the pressure accumulation mode of the difference area, distinguishes short-term pressure abnormality, hysteresis pressure abnormality and long-term pressure abnormality, and obtains the classification of the abnormal pressure area;

[0038] The classified abnormal pressure area categories include short-term abnormal pressure records, delayed abnormal pressure records, and long-term abnormal pressure records.

[0039] As a further solution of the present invention, the abnormal area classification module includes:

[0040] The hysteresis pressure stability calculation submodule extracts the pressure change data of the hysteresis pressure abnormal area based on the pressure hysteresis distribution analysis results, analyzes the pressure fluctuation range in the difference time window, and adopts the formula:

[0041] ;

[0042] Calculate the abnormal area of ​​hysteresis pressure The stability factor , the stability calculation results of the hysteresis pressure abnormal area are obtained, where Representative time Time zone The pressure value, Represents the area in the calculation time window The average pressure value within Represents the total time step of the calculation time window;

[0043] The pressure accumulation pattern comparison submodule compares the pressure accumulation patterns of the difference areas according to the pressure accumulation trend analysis record, analyzes the difference in accumulation patterns between the hysteresis pressure abnormal area and other areas, quantifies the degree of difference, and obtains the pressure accumulation pattern comparison value;

[0044] The graded abnormal pressure area identification submodule distinguishes short-term pressure anomaly, hysteresis pressure anomaly and long-term pressure anomaly according to the stability calculation result of the hysteresis pressure abnormal area and the pressure accumulation mode comparison value, and obtains the graded abnormal pressure area category.

[0045] Compared with the prior art, the advantages and positive effects of the present invention are:

[0046] In the present invention, by calculating the pressure change rate and its deviation, and combining it with the continuous trend analysis within the time window, the abnormal pressure accumulation and diffusion area in the production process of the composite insulation board can be accurately identified to avoid misjudgment caused by single-point mutations. The rate change hysteresis value of the adjacent area is calculated to screen the area with obvious delay in pressure response, and combined with the pressure diffusion rate, the long-term hysteresis area is determined, which is helpful to identify the stress abnormality caused by uneven pressure transmission. By calculating the pressure accumulation in unit time and comparing the pressure accumulation ratio of adjacent areas, the evaluation of pressure anomalies in the production process of the composite insulation board is made more dynamic, ensuring that the pressure balance of each area in the production process is effectively monitored. Combined with the pressure hysteresis and cumulative trend analysis, the pressure characteristics of the abnormal area are comprehensively evaluated, and short-term, delayed and long-term pressure anomalies are distinguished, which can improve the accuracy of anomaly identification, so that the abnormal warning not only stays at the problem discovery level, but also provides targeted evaluation methods for different types of anomalies, and provides more effective data support for optimizing process adjustments. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 is a system flow chart of the present invention;

[0048] Figure 2 This is a flow chart of the pressure data acquisition module of the present invention;

[0049] Figure 3 This is a flow chart of the local pressure anomaly detection module of the present invention;

[0050] Figure 4 This is a flow chart of the stress hysteresis analysis module of the present invention;

[0051] Figure 5 This is a flow chart of the pressure accumulation assessment module of the present invention;

[0052] Figure 6 This is a flow chart of the abnormal area classification module of the present invention. DETAILED DESCRIPTION

[0053] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0054] In the description of the present invention, it should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, in the description of the present invention, "multiple" means two or more, unless otherwise clearly and specifically defined.

[0055] See also Figure 1 , a sensor-based composite insulation board production process abnormality monitoring system includes:

[0056] The pressure data acquisition module arranges pressure sensors at the laminating rollers, pressing plates, and conveyor belts, sets a fixed sampling period to record instantaneous pressure values, constructs a time series matrix to store the pressure data of each sensor point, calculates the pressure variation range of each area within a fixed time window, eliminates single-point mutation values, and obtains stable pressure time series data;

[0057] The local pressure anomaly detection module calculates the pressure change rate of the laminating roller and the pressure plate sensor points in adjacent time periods based on the steady pressure time series data, calculates the pressure change rate deviation of adjacent areas on the same pressure transmission path, screens the areas where the deviation exceeds the deviation threshold, and analyzes the rate change trend in the continuous time window to determine whether there is an abnormal pressure accumulation and diffusion area, and obtains the analysis results of the local pressure abnormal area;

[0058] The stress hysteresis analysis module calculates the rate change hysteresis value of the adjacent area based on the analysis results of the local pressure anomaly area, selects the area with a hysteresis time greater than the hysteresis threshold, marks it as the hysteresis stress anomaly area, calculates the pressure response diffusion rate of each hysteresis stress anomaly, analyzes whether there is a long-term hysteresis area in the pressure transmission path, and obtains the pressure hysteresis distribution analysis results;

[0059] The pressure accumulation assessment module performs time integration operation on the pressure sensor data of the laminating equipment difference area based on the steady pressure time series data, calculates the pressure accumulation value of each area per unit time, and calculates the pressure accumulation ratio of adjacent areas, analyzes whether there is uneven regional pressure accumulation, marks the pressure accumulation abnormal area, and obtains the pressure accumulation trend analysis record;

[0060] The abnormal area classification module analyzes the pressure characteristics of the abnormal area during the lamination process of the composite insulation board based on the pressure hysteresis distribution analysis results and the pressure accumulation trend analysis records, calculates the stability coefficient of the hysteresis pressure abnormal area, compares the pressure accumulation pattern of the difference area, distinguishes short-term pressure anomaly, hysteresis pressure anomaly and long-term pressure anomaly, and obtains the graded abnormal pressure area category.

[0061] The steady pressure time series data include the time series matrix of each pressure sensor point, the pressure change range of each area, and the single point mutation value elimination data. The local pressure abnormal area analysis results include the pressure change rate data, the pressure change rate deviation data, and the abnormal pressure accumulation diffusion area. The pressure hysteresis distribution analysis results include the rate change hysteresis value, the hysteresis stress abnormal area, the pressure response diffusion rate data, and the long-term hysteresis area. The pressure accumulation trend analysis records include the pressure accumulation value per unit time, the pressure accumulation ratio of adjacent areas, and the pressure accumulation abnormal area. The classified abnormal pressure area categories include short-term pressure abnormality records, hysteresis pressure abnormality records, and long-term pressure abnormality records.

[0062] See also Figure 2 , the pressure data acquisition module includes:

[0063] The pressure data recording submodule arranges pressure sensors at the laminating roller, pressing plate, and conveyor belt, collects the instantaneous pressure value of the pressure sensor, sets a fixed sampling period and records the pressure data, and generates a time series matrix;

[0064] Pressure sensors are placed at key locations of laminating rollers, pressure plates, and conveyor belts. The placement of each sensor needs to take into account the stress area of ​​the equipment and the points susceptible to external interference. For example, the center and edge of the laminating roller need to be placed separately to ensure data comprehensiveness due to uneven stress. At the same time, sensors also need to be placed separately at the joints of the conveyor belt due to large tension changes. The measurement range of the sensor is set at 0-500kPa to meet the monitoring needs of different pressure ranges. The sensor uses a fixed sampling period of 0.5s for data recording. The current pressure value of the sensor is recorded at each moment and stored in the database in the form of a matrix. When recording data, it is necessary to eliminate possible errors or missing values ​​that may occur during data transmission. For example, an abnormal value with a large deviation from the previous and subsequent data appears at a certain moment, which needs to be corrected through historical data backtracking and interpolation algorithms. The stored time series matrix can be expressed as:

[0065] Table 1.1 Sensor time series pressure data matrix

[0066]

[0067] As shown in Table 1.1, the time series matrix contains the pressure data of each sensor at different time points. After the data is stored, it is used for subsequent analysis and calculation to finally generate the time series matrix.

[0068] The pressure change calculation submodule calculates the pressure change range of each area within a fixed time window based on the time series matrix, using the formula:

[0069] ;

[0070] Computing Sensors Pressure change , obtain the pressure change data of each sensor point, where, Representative time Time sensor The pressure value, Represents the total time step of the calculation time window;

[0071] According to the time series matrix, for the data of different sensors, the pressure change range is calculated within a fixed time window. The calculation method is to take the absolute difference between the current time point and the previous time point, and perform the mean calculation within the time window. For example, if the time window is set to 2s, the pressure change of each sensor within the window can be calculated as follows:

[0072]

[0073]

[0074]

[0075]

[0076] Table 1.2 Calculation results of pressure changes of each sensor

[0077]

[0078] As shown in Table 1.2, when the time window is 2s, the pressure change of each sensor has been calculated. The result is subsequently used to screen the mutation points, and finally the pressure change data of each sensor point is calculated and statistically obtained.

[0079] The stable pressure screening submodule compares the mutation judgment threshold based on the pressure change data of each sensor point, removes the single-point mutation value, and outputs the stable pressure time series data;

[0080] Based on the pressure change data of each sensor point, determine whether there is a mutation point and set the mutation judgment threshold The threshold is 3.5 kPa. The threshold is set based on the statistical analysis of the normal pressure fluctuation range during equipment operation and the standard deviation of historical operation data. The specific calculation process is as follows:

[0081] First, based on the pressure data for a certain period of time (such as 10 minutes), calculate the mean pressure change of all sensor points and standard deviation .

[0082] 100 time windows were selected for statistics, and the average pressure change of each sensor was 2.2 kPa, with a standard deviation of It is about 0.9kPa. Considering the normal fluctuation range, the threshold value of the mutation point is defined as:

[0083]

[0084] For the convenience of calculation, the mutation judgment threshold is rounded down to 3.5 kPa. This value will be adjusted with the change of standard deviation. In the long-term operation process, it can be dynamically optimized according to the actual operation data of the lamination equipment.

[0085] When the pressure change of a certain sensor is greater than the threshold, the point is determined to be a mutation point and is removed. satisfy , it is considered that the data point has a mutation and the data is removed.

[0086] For example:

[0087] The change of sensor 1 is 2.33 kPa, which does not exceed 3.5 kPa and is retained;

[0088] The change of sensor 2 is 2.33 kPa, which does not exceed 3.5 kPa and is retained;

[0089] The change of sensor 3 is 2.33 kPa, which does not exceed 3.5 kPa and is retained;

[0090] The change of sensor 4 is 3.00 kPa, which does not exceed 3.5 kPa and is retained;

[0091] Under the current calculation results, there is no mutation point, so all data can enter the subsequent calculation process and finally obtain the stable pressure time series data.

[0092] See also Figure 3 , the local pressure anomaly detection module includes:

[0093] The pressure change rate calculation submodule analyzes the pressure change rate of the laminating roller and the pressure plate sensor points in adjacent time periods based on the steady pressure time series data, using the formula:

[0094] ;

[0095] Computing Sensors In time The pressure change rate value , obtain the pressure change rate data of the sensor point, where, Representative time Time sensor The pressure value, represents adjacent time steps;

[0096] During the production process, the pressure distribution on the laminating roller and the pressing plate has a direct impact on the molding quality of the material. In order to obtain the pressure change rate of the sensor point in adjacent time periods, it is necessary to analyze the steady pressure time series data point by point. The data point of each pressure sensor represents the instantaneous pressure value in a specific time step. Assume that 10 pressure sensors are arranged on a production line, and the measurement time interval of each sensor is 1 second, as shown in Table 2.1 below.

[0097] Table 2.1 Initial pressure table of monitoring points

[0098]

[0099] As shown in Table 2.1, the pressure value of the sensor fluctuates at different times. The pressure change rate is calculated using the formula, which is as follows:

[0100] Sensor 1 in arrive The rate of pressure change between: ;

[0101] Sensor 1 in arrive The rate of pressure change between: ;

[0102] Sensor 2 in arrive The rate of pressure change between: ;

[0103] Sensor 2 in arrive The rate of pressure change between: ;

[0104] It can be calculated that the pressure change rate of all sensors in different time periods can be constructed into a matrix:

[0105] ;

[0106] Among them, each row represents the change rate of a certain sensor, and the pressure change rate matrix of the sensor point is obtained.

[0107] The adjacent area pressure deviation screening submodule calculates the pressure change rate deviation of adjacent areas on the same pressure transmission path based on the pressure change rate data of the sensor point, screens the area where the deviation exceeds the pressure deviation threshold, and outputs the adjacent area pressure change rate deviation data;

[0108] Based on the pressure change rate matrix, the pressure change rate deviation of adjacent areas on the same pressure transmission path is further calculated. Assume that the adjacent sensor numbers are and , the pressure change rate deviation of adjacent sensor points is defined as:

[0109]

[0110] Setting the pressure deviation threshold MPa / s, the calculation of the pressure change rate deviation of some adjacent sensors is as follows:

[0111] Sensors 1 and 2 are arrive Deviation between: ;

[0112] Sensors 3 and 4 are arrive Deviation between: ;

[0113] Sensors 4 and 5 are arrive Deviation between: ;

[0114] Setting the pressure deviation threshold The basis of MPa / s is as follows:

[0115] During the pressure transmission process between the laminating roller and the pressing plate, the deviation of the pressure change rate in adjacent areas reflects the uniformity of the pressure. If the deviation is too large, it may cause uneven force on the material and affect the molding quality. Therefore, the setting of the pressure deviation threshold needs to consider the following factors:

[0116] Local stress differences in materials : For multilayer composite materials, the stress difference between different layers should generally not exceed 10% of the total pressure change rate. Assuming the maximum pressure change rate is 3.0MPa / s, the stress difference limit is: ;

[0117] Equipment processing accuracy error :During long-term use, laminating equipment is affected by the aging of mechanical parts and thermal expansion, resulting in errors in pressure transmission. Usually, such errors fluctuate between 0.05-0.1MPa / s. Therefore, the error compensation coefficient should be considered when calculating the deviation threshold: However, considering that a too high threshold may miss slight unevenness, a more conservative value is finally taken. MPa / s as the set value.

[0118] The results show that the pressure change rate deviation in some areas does not exceed the set pressure deviation threshold. MPa / s.

[0119] The abnormal pressure accumulation judgment submodule analyzes the rate change trend in the continuous time window based on the pressure change rate deviation data of the adjacent areas, determines whether there is an abnormal pressure accumulation diffusion area, and obtains the analysis results of the local pressure abnormal area;

[0120] According to the above calculation data, the rate change trend in the continuous time window is analyzed. In order to determine the abnormal pressure accumulation and diffusion area, the trend change of the pressure rate is calculated:

[0121] ;

[0122] Calculate sensor 1 at arrive Trend changes between:

[0123] ;

[0124] Calculate sensor 4 in arrive Trend changes between:

[0125] ;

[0126] Setting trend change threshold The basis of MPa / s is as follows:

[0127] During the lamination process, pressure fluctuations directly affect product quality, and abnormal pressure accumulation may cause uneven force on the material, blistering or breakage. According to the pressure resistance characteristics of different materials, the following parameters need to be considered comprehensively when setting the trend change threshold:

[0128] Material stress tolerance : For example, the maximum pressure change rate of a composite material is usually between -1.0MPa / s and 1.0MPa / s. If it exceeds this range, the material is prone to stress concentration problems;

[0129] Device response rate :The response time of the equipment to adjust the pressure is generally about 2 seconds, that is, if the pressure fluctuation exceeds 1.0MPa / s within 2 seconds, a cumulative effect may occur.

[0130] Trend change threshold The calculation is as follows:

[0131] ;

[0132] This threshold is applicable to the stress range of most composite materials during the lamination process and can effectively identify the area of ​​abnormal pressure accumulation and diffusion. MPa / s, it is judged as an abnormal pressure accumulation and diffusion area. According to the calculation | |Greater than , so sensor 4 is arrive There are anomalies between them, and the analysis results of the local pressure abnormality area are obtained.

[0133] See also Figure 4 , the stress hysteresis analysis module includes:

[0134] The rate change hysteresis calculation submodule is based on the analysis results of the local pressure abnormal area and uses the formula:

[0135] ;

[0136] Calculate neighboring areas The accumulated value of the rate lag between , output the hysteresis value data of the rate change of adjacent areas, where, Representative time Time zone The rate of change of pressure, Representative time Time zone The rate of change of pressure, represents the time lag step, Represents the total time step of the calculation time window;

[0137] Based on the analysis results of the local pressure abnormal area, first determine the sampling time interval of the sensor data , for each adjacent region and The corresponding pressure change rate is extracted from the time series data. and .

[0138] Assume that a pressure sensor in a certain area The sampling period is 1s. At this moment, the pressure value of the sensor is 120kPa, and at At the moment, the pressure value is 115 kPa, then the pressure change rate at this time step is calculated as follows:

[0139] ;

[0140] Similarly, for adjacent regions The sensor, in The pressure value collected is 112kPa. The collected pressure value is 110kPa, then:

[0141] ;

[0142] The formula is used to calculate the hysteresis value of the rate change of adjacent areas. Assuming that the hysteresis step is set to 1s, then:

[0143] ;

[0144] In order to ensure the integrity of the data, sampling statistics are conducted on the monitoring point data in different areas. The data are shown in the following table:

[0145] Table 3.1 Monitoring point pressure change rate table

[0146]

[0147] As shown in Table 3.1, there are differences in the pressure change rate at different sensor points, and the rate lag calculation value Representing the region and The greater the value, the more inconsistent the pressure transmission response time of adjacent areas, indicating the existence of hysteresis. When the calculated hysteresis value exceeds the set hysteresis threshold (such as 4), it is determined that there is a rate change hysteresis in the area. Finally, the rate change hysteresis value of the adjacent area is obtained.

[0148] The hysteresis stress screening submodule screens the areas with hysteresis time greater than the hysteresis threshold according to the hysteresis value data of the rate change of the adjacent areas, marks them as hysteresis stress abnormal areas, and obtains the marking records of hysteresis stress abnormal areas;

[0149] Vary the hysteresis value based on the rate of the neighboring regions , according to the set hysteresis threshold Screening is performed to identify areas where the hysteresis time is greater than the threshold and mark them as abnormal hysteresis stress areas. Hysteresis Threshold The basis for setting is mainly derived from the stress-strain relationship of the material, the operating conditions of the equipment, and the energy dissipation characteristics in the pressure transmission path. Under different material or equipment conditions, the response time of the pressure change rate is different, so data calibration must be performed for specific application scenarios. In this embodiment, based on the sensor measurement data of different pressure transmission paths, the distribution of the hysteresis value of the pressure change rate is statistically analyzed, and the 90% quantile is selected as the hysteresis threshold to ensure that the screened area is statistically significant and avoid misjudgment. For the selected data set, after statistical analysis, the hysteresis rate threshold of the 90% quantile is .

[0150] The specific screening process is as follows:

[0151] Obtaining the hysteresis stress threshold: The hysteresis rate distribution is obtained by analyzing the hysteresis rate statistics in different regions, as shown in the following table, and the hysteresis threshold is determined based on the 90% quantile.

[0152] Comparison of hysteresis stress values ​​with threshold values: For all calculated ,if , it is determined that there is hysteresis stress anomaly in this area.

[0153] Mark abnormal areas: Areas that meet the hysteresis conditions will be stored and used for subsequent diffusion rate analysis.

[0154] In order to more clearly show the screening of hysteresis stress abnormal areas, the hysteresis rate values ​​between different sensor points are listed and it is determined whether they exceed the threshold, as shown in the following table:

[0155] Table 3.2 Adjacent region hysteresis rate screening table

[0156]

[0157] As shown in Table 3.2, the hysteresis rates of regions (2,3) and (3,4) are both over 4.0, and they are determined to be abnormal hysteresis stress regions. These regions will be used to analyze their pressure diffusion characteristics in subsequent steps. Finally, the abnormal hysteresis stress regions are obtained.

[0158] The pressure hysteresis diffusion analysis submodule calculates the pressure response diffusion rate of each hysteresis stress anomaly based on the hysteresis stress anomaly area mark record, analyzes whether there is a long-term hysteresis area in the pressure transmission path, and obtains the pressure hysteresis distribution analysis results;

[0159] According to the mark records of hysteresis stress anomaly areas, the pressure response diffusion rate of each hysteresis stress anomaly is calculated, and it is analyzed whether there is a long-term hysteresis area in the pressure transmission path. The specific calculation process is as follows:

[0160] Calculate pressure diffusion rate: For the hysteresis stress abnormal area, calculate the pressure response diffusion rate , using the following formula:

[0161] ;

[0162] in, represents the pressure diffusion rate between adjacent regions, and Representative area and Pressure values ​​at different time steps, Represents the total time step length of the computation time window.

[0163] Determine the long-term hysteresis area: If a certain area Below the set diffusion rate threshold , it is considered that there is a long-term hysteresis in this area. Diffusion rate threshold The setting basis is derived from the diffusion characteristics of pressure in different material media and the energy loss ratio on the stress transmission path. Generally speaking, the elastic modulus, viscous resistance and pressure propagation speed of the material will affect the upper and lower limits of the diffusion rate. In this embodiment, based on the experimental data statistics of the diffusion rate distribution of different pressure propagation paths, the 85% quantile is selected as the diffusion rate threshold to ensure that the screened long-term hysteresis area is physically reasonable. After calculation, the diffusion rate threshold is finally determined to be .

[0164] The following lists the calculated values ​​of pressure diffusion rate in different regions and determines whether they belong to the long-term hysteresis region:

[0165] Table 3.3 Pressure diffusion rate and long-term hysteresis determination table

[0166]

[0167] As shown in Table 3.3, the diffusion rate of regions (2, 3) and (3, 4) is lower than 3.0, which is determined to be a long-term hysteresis region. The existence of these regions indicates that there is uneven diffusion of pressure transmission in this path, which may lead to abnormal stress accumulation and ultimately affect the stability of the overall pressure distribution. Finally, the pressure hysteresis distribution analysis results are obtained.

[0168] See also Figure 5 , the pressure accumulation assessment module includes:

[0169] The pressure accumulation calculation submodule obtains the pressure sensor data of the difference area of ​​the laminating equipment based on the steady pressure time series data, and integrates the pressure value per unit time using the formula:

[0170] ;

[0171] Calculation area Pressure accumulation value , output regional pressure accumulation data, where, Representative time Time zone The pressure value, represents the sampling time step, Represents the total time step of the calculation time window;

[0172] Based on the steady pressure time series data, firstly, the pressure sensors in each area of ​​the laminating equipment are collected and fixed time intervals are set. , record the pressure value For different laminating equipment, the distribution of pressure sensors varies. Usually, a grid layout is adopted to make the pressure distribution in each area uniform and measurable. For example, in a laminating equipment, 10 sensors are set to measure the pressure conditions in different areas respectively. The data sampling period is set to .exist arrive During the period of time, a certain area The pressure values ​​are shown in the following table:

[0173] Table 4.1 Monitoring point pressure time series data

[0174]

[0175] According to the data in Table 4.1, calculate the pressure accumulation value per unit time, use the formula to calculate, and substitute the data in Table 4.1 into:

[0176] ;

[0177] As shown above, the area The pressure accumulation value in the 6s time window is calculated to be 649 kPa·s. This value is used for subsequent analysis of the pressure accumulation distribution and as input data for the calculation of the pressure accumulation ratio of adjacent areas. Finally, the regional pressure accumulation value data is obtained.

[0178] The pressure accumulation ratio calculation submodule calculates the pressure accumulation ratio of adjacent areas according to the regional pressure accumulation value data, and statistically outputs the pressure accumulation ratio data of adjacent areas;

[0179] Based on the regional pressure accumulation data, the pressure accumulation ratio between adjacent regions is calculated to determine whether there is a significant difference in pressure accumulation between different regions. and Region Compare and calculate the pressure accumulation ratio of the two :

[0180] ;

[0181] Among them, the area Pressure accumulation value Obtained by the same calculation method, assuming its value is 700 kPa·s, then:

[0182] ;

[0183] In general, the reasonable range of pressure accumulation ratio is set at The scope is determined based on the following:

[0184] Analysis of the working balance of laminating equipment: Under the ideal condition of uniform pressure distribution, the pressure accumulation values ​​of adjacent areas should be as close as possible. If the theoretical design goal of the equipment is uniform force, it should meet However, in actual operation, due to factors such as equipment accuracy and material thickness changes, this ratio fluctuates to a certain extent, so it is necessary to determine a reasonable fluctuation range.

[0185] Influence of material compression characteristics: Different materials have different deformation amounts and deformation recovery capabilities after being compressed, which may lead to higher or lower pressure accumulation in some areas. For example, during the lamination process, if the elastic modulus of the material is large (such as metal), its pressure accumulation value is usually small, while materials with lower elastic modulus (such as rubber) may lead to higher pressure accumulation values. Therefore, the upper and lower limits of the pressure accumulation ratio need to be combined with the elastic modulus of the material. Make adjustments when When it is smaller, the allowable range of the ratio should be appropriately expanded, for example , and when When it is larger, the range can be reduced to .

[0186] Influence of equipment processing accuracy and operating status: During long-term equipment operation, the equipment may be subjected to uneven force due to wear. Therefore, in actual monitoring, the operating data of different equipment are counted, and the pressure accumulation ratio is statistically analyzed. The ratio range within the 95% confidence interval is selected as a reasonable standard. After statistical analysis, the pressure accumulation ratio of normally operating equipment is mainly distributed in , this range can be used to determine whether the pressure accumulation between regions is balanced.

[0187] Based on the above setting basis, after determining the reasonable range, calculate the pressure accumulation ratio and screen the abnormal area:

[0188] Table 4.2 Calculation results of pressure accumulation ratio of adjacent areas

[0189]

[0190] As shown in Table 4.2, the pressure accumulation ratio of area (2,3) is 1.33, which is beyond the set range, so the area is judged as an abnormal area. Finally, the pressure accumulation ratio data of adjacent areas are obtained.

[0191] The pressure accumulation anomaly screening submodule analyzes whether there is uneven regional pressure accumulation based on the pressure accumulation ratio of adjacent areas, compares it with the preset pressure accumulation ratio threshold, screens areas where the ratio deviates from the normal range, marks them as pressure accumulation anomaly areas, and obtains pressure accumulation trend analysis records;

[0192] According to the pressure accumulation ratio data of adjacent areas, analyze whether there is uneven pressure accumulation in the area and compare it with the set pressure accumulation ratio threshold , filter out the areas where the ratio deviates from the normal range and mark them as abnormal pressure accumulation areas. For example, in the previous calculation step, the pressure accumulation ratio of area (2, 3) is 1.33, which exceeds the set range, so the area is judged as an abnormal area.

[0193] The specific screening results are shown in the following table:

[0194] Table 4.3 Pressure accumulation abnormal screening results

[0195]

[0196] As shown in Table 4.3, area (2, 3) is determined to be an abnormal pressure accumulation area and is marked for subsequent trend analysis. Finally, the pressure accumulation trend analysis record is obtained.

[0197] See also Figure 6 , the abnormal area classification module includes:

[0198] The hysteresis pressure stability calculation submodule extracts the pressure change data of the hysteresis pressure abnormal area based on the pressure hysteresis distribution analysis results, analyzes the pressure fluctuation range in the difference time window, and uses the formula:

[0199] ;

[0200] Calculate the abnormal area of ​​hysteresis pressure The stability factor , the stability calculation results of the hysteresis pressure abnormal area are obtained, where Representative time Time zone The pressure value, Represents the area in the calculation time window The average pressure value within Represents the total time step of the calculation time window;

[0201] Based on the results of the pressure hysteresis distribution analysis, the pressure change data of the hysteresis pressure abnormal area is extracted, and the pressure fluctuation range in different time windows is calculated. First, the pressure sensor data of the composite insulation board lamination equipment is obtained. Assume that the pressure value recorded by the sensor in a certain abnormal area within 60s is:

[0202] ;

[0203] The average pressure value of the area is calculated as follows:

[0204] ;

[0205] Then, the pressure fluctuation amplitude of the area is calculated, that is, the sum of the absolute values ​​of the pressure deviations from the average value at all times:

[0206] ;

[0207] ;

[0208] ;

[0209] Next, calculate the pressure variance in this area:

[0210] ;

[0211] Finally, the stability coefficient of the region is calculated:

[0212] ;

[0213] In order to more clearly show the pressure fluctuation range in different areas, we have sorted out the stability coefficients of multiple hysteresis pressure anomaly areas, as shown in the following table:

[0214] Table 5.1 Stability coefficient of abnormal hysteresis pressure area

[0215]

[0216] As shown in Table 5.1, the stability coefficients of different areas reflect the pressure fluctuations. The larger the value, the greater the pressure fluctuation in the pressure hysteresis abnormal area. Finally, the stability coefficient of the hysteresis pressure abnormal area is obtained.

[0217] The pressure accumulation pattern comparison submodule compares the pressure accumulation patterns of the difference areas according to the pressure accumulation trend analysis records, analyzes the accumulation pattern differences between the lagging pressure abnormal area and other areas, quantifies the degree of difference, and obtains the pressure accumulation pattern comparison value;

[0218] According to the pressure accumulation trend analysis records, the pressure accumulation patterns of different areas are compared, the differences in the accumulation patterns of the hysteresis pressure abnormal area and other areas are analyzed, and the degree of difference is quantified. First, the pressure accumulation values ​​of each area during the lamination process are obtained. Assume that the accumulated pressure data of different areas within 100s are as follows:

[0219] ;

[0220] ;

[0221] ;

[0222] Calculate the pressure accumulation ratio of adjacent areas:

[0223] ;

[0224] ;

[0225] The pressure accumulation ratio is used to determine the difference in the accumulation mode on the pressure transmission path and quantify its changes, as shown in the following table:

[0226] Table 5.2 Pressure accumulation mode ratio table

[0227]

[0228] As shown in Table 5.2, there are differences in the pressure accumulation patterns in different areas, especially in area (2,3), where the accumulation ratio is 0.71, indicating that the pressure accumulation in this area is slow and there is a lag phenomenon. Finally, the pressure accumulation pattern comparison value is obtained.

[0229] The graded abnormal pressure area identification submodule distinguishes short-term pressure anomaly, hysteresis pressure anomaly and long-term pressure anomaly according to the stability calculation results of the hysteresis pressure anomaly area and the pressure accumulation mode comparison value, and obtains the graded abnormal pressure area category;

[0230] Combining the stability calculation results of the hysteresis pressure anomaly area and the pressure accumulation mode comparison value, short-term pressure anomaly, hysteresis pressure anomaly and long-term pressure anomaly are distinguished. First, set the stability coefficient threshold and cumulative ratio threshold , used for classification judgment, the two thresholds are set based on the pressure fluctuation range and cumulative mode change trend of the normal area to ensure that the division of the abnormal area is physically reasonable. Stability coefficient threshold Depending on the pressure fluctuation degree in the normal area, this value should cover more than 85% of the fluctuation range of the normal area to avoid misjudgment; and the cumulative ratio threshold It is set as the 90% quantile of the pressure accumulation rate change in the normal area to reflect the possible accumulation hysteresis phenomenon in the pressure transmission process. By statistically analyzing the data of a large number of sample areas, the final determination , .

[0231] For each region, if and , then the area is judged to be a long-term pressure abnormal area; if and , it is determined to be an abnormal hysteresis pressure area; if , it is determined to be a short-term pressure abnormal area. According to the data in Table 1 and Table 2:

[0232] A1: , → Hysteresis pressure is abnormal;

[0233] A2: → Abnormal short-term pressure;

[0234] A3: , →Abnormal long-term stress;

[0235] Table 5.3 Abnormal pressure area classification table

[0236]

[0237] As shown in Table 5.3, the anomaly categories in different areas have been clearly divided, among which A1 is classified as delayed pressure anomaly, A2 is classified as short-term pressure anomaly, and A3 is classified as long-term pressure anomaly. This classification method ensures the reasonable distinction of pressure anomaly areas. reflects the fluctuation degree of regional pressure, and The pressure accumulation trend of the region is reflected, so that the division of abnormal areas can accurately reflect the pressure distribution in the actual lamination process, and finally, the graded abnormal pressure area category is obtained.

[0238] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. A sensor-based composite insulation board production process abnormality monitoring system, characterized in that: The system comprises: The pressure data acquisition module obtains the sensor data of the composite insulation board lamination equipment, sets a fixed sampling period to record and store the pressure data of each sensor point, calculates the pressure change range of each area within a fixed time window, and obtains the stable pressure time series data; The local pressure anomaly detection module calculates the pressure change rate of the laminating roller and the pressure plate sensor points in adjacent time periods according to the stable pressure time series data, calculates the pressure change rate deviation of adjacent areas on the same pressure transmission path, determines whether there is an abnormal pressure accumulation and diffusion area, and obtains the analysis result of the local pressure abnormal area; The stress hysteresis analysis module calculates the rate change hysteresis value of the adjacent area according to the analysis result of the local pressure abnormal area, marks the hysteresis stress abnormal area and calculates the pressure response diffusion rate, determines the long-term hysteresis area, and obtains the pressure hysteresis distribution analysis result; The pressure accumulation evaluation module calculates the pressure accumulation value of each area per unit time based on the steady pressure time series data, calculates the pressure accumulation ratio of adjacent areas, marks the pressure accumulation abnormal area, and obtains the pressure accumulation trend analysis record.

2. The sensor-based composite insulation board production process abnormality monitoring system according to claim 1 is characterized in that: The steady pressure time series data includes the time series matrix of each pressure sensor point, the pressure change range of each area, and the single point mutation value elimination data; the local pressure abnormal area analysis results include pressure change rate data, pressure change rate deviation data, and abnormal pressure accumulation diffusion area; the pressure hysteresis distribution analysis results include rate change hysteresis value, hysteresis stress abnormal area, pressure response diffusion rate data, and long-term hysteresis area; the pressure accumulation trend analysis record includes pressure accumulation value per unit time, pressure accumulation ratio of adjacent areas, and pressure accumulation abnormal area.

3. The sensor-based composite insulation board production process abnormality monitoring system according to claim 1 is characterized in that: The pressure data acquisition module comprises: The pressure data recording submodule arranges pressure sensors at the laminating roller, pressing plate, and conveyor belt, collects the instantaneous pressure value of the pressure sensor, sets a fixed sampling period and records the pressure data, and generates a time series matrix; The pressure change calculation submodule calculates the pressure change range of each area within a fixed time window according to the time series matrix, using the formula: ； Computing Sensors Pressure change , obtain the pressure change data of each sensor point, where, Representative time Time sensor The pressure value, Represents the total time step of the calculation time window; The steady pressure screening submodule compares the mutation judgment threshold based on the pressure change data of each sensor point, removes the single point mutation value, and outputs the steady pressure time series data.

4. The sensor-based composite insulation board production process abnormality monitoring system according to claim 1 is characterized in that: The local pressure anomaly detection module comprises: The pressure change rate calculation submodule analyzes the pressure change rate of the laminating roller and the pressure plate sensor points in adjacent time periods based on the steady pressure time series data, using the formula: ； Computing Sensors In time The pressure change rate value , obtain the pressure change rate data of the sensor point, where, Representative time Time sensor The pressure value, represents adjacent time steps; The adjacent area pressure deviation screening submodule calculates the pressure change rate deviation of adjacent areas on the same pressure transmission path based on the pressure change rate data of the sensor point, screens the area where the deviation exceeds the pressure deviation threshold, and outputs the adjacent area pressure change rate deviation data; The abnormal pressure accumulation judgment submodule analyzes the rate change trend in the continuous time window based on the pressure change rate deviation data of the adjacent areas, determines whether there is an abnormal pressure accumulation diffusion area, and obtains the analysis result of the local pressure abnormal area.

5. The sensor-based composite insulation board production process abnormality monitoring system according to claim 1 is characterized in that: The stress hysteresis analysis module includes: The rate change hysteresis calculation submodule adopts the formula based on the analysis results of the local pressure abnormal area: ； Calculate neighboring areas The accumulated value of the rate lag between , output the hysteresis value data of the rate change of adjacent areas, where, Representative time Time zone The rate of change of pressure, Representative time Time zone The rate of change of pressure, represents the time lag step, Represents the total time step of the calculation time window; The hysteresis stress screening submodule screens the area whose hysteresis time is greater than the hysteresis threshold value according to the rate change hysteresis value data of the adjacent area, marks it as the hysteresis stress abnormal area, and obtains the hysteresis stress abnormal area marking record; The pressure hysteresis diffusion analysis submodule calculates the pressure response diffusion rate of each hysteresis stress anomaly based on the hysteresis stress anomaly area mark record, analyzes whether there is a long-term hysteresis area in the pressure transmission path, and obtains the pressure hysteresis distribution analysis result.

6. The sensor-based composite insulation board production process abnormality monitoring system according to claim 1 is characterized in that: The pressure accumulation assessment module comprises: The pressure accumulation calculation submodule obtains the pressure sensor data of the difference area of ​​the laminating equipment based on the steady pressure time series data, and integrates the pressure value per unit time using the formula: ； Calculation area Pressure accumulation value , output regional pressure accumulation data, where, Representative time Time zone The pressure value, represents the sampling time step, Represents the total time step of the calculation time window; The pressure accumulation ratio calculation submodule calculates the pressure accumulation ratio of the adjacent areas according to the pressure accumulation value data of the area, and statistically outputs the pressure accumulation ratio data of the adjacent areas; The pressure accumulation anomaly screening submodule analyzes whether there is uneven regional pressure accumulation based on the pressure accumulation ratio of the adjacent areas, compares it with the preset pressure accumulation ratio threshold, screens the areas where the ratio deviates from the normal range, marks them as pressure accumulation anomaly areas, and obtains pressure accumulation trend analysis records.

7. The sensor-based composite insulation board production process abnormality monitoring system according to claim 1 is characterized in that: The system also includes an abnormal area classification module, The abnormal area classification module analyzes the pressure characteristics of the abnormal area during the lamination process of the composite insulation board based on the pressure hysteresis distribution analysis results and the pressure accumulation trend analysis records, calculates the stability coefficient of the hysteresis pressure abnormal area, compares the pressure accumulation mode of the difference area, distinguishes short-term pressure abnormality, hysteresis pressure abnormality and long-term pressure abnormality, and obtains the classification of the abnormal pressure area; The classified abnormal pressure area categories include short-term abnormal pressure records, delayed abnormal pressure records, and long-term abnormal pressure records.

8. The sensor-based composite insulation board production process abnormality monitoring system according to claim 7 is characterized in that: The abnormal area classification module comprises: The hysteresis pressure stability calculation submodule extracts the pressure change data of the hysteresis pressure abnormal area based on the pressure hysteresis distribution analysis results, analyzes the pressure fluctuation range in the difference time window, and adopts the formula: ； Calculate the abnormal area of ​​hysteresis pressure The stability factor , the stability calculation results of the hysteresis pressure abnormal area are obtained, where Representative time Time zone The pressure value, Represents the area in the calculation time window The average pressure value in Represents the total time step of the calculation time window; The pressure accumulation pattern comparison submodule compares the pressure accumulation patterns of the difference areas according to the pressure accumulation trend analysis record, analyzes the difference in accumulation patterns between the hysteresis pressure abnormal area and other areas, quantifies the degree of difference, and obtains the pressure accumulation pattern comparison value; The graded abnormal pressure area identification submodule distinguishes short-term pressure anomaly, hysteresis pressure anomaly and long-term pressure anomaly according to the stability calculation result of the hysteresis pressure abnormal area and the pressure accumulation mode comparison value, and obtains the graded abnormal pressure area category.

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