Operation monitoring method and system based on PE pipeline processing extruder

Abstract

The invention belongs to the technical field of operation monitoring, and provides an operation monitoring method and system based on a PE pipeline processing extruder, and the method comprises the steps: obtaining a flow value of a melt between a die head inner wall and a die core outer wall at a machine head of the pipeline extruder in an operation cycle, and carrying out the analysis to obtain a flow uniform value; if the flow uniform value is greater than or equal to the flow uniform threshold value, generating a flow abnormal signal; constructing an X-Y two-dimensional coordinate system by taking the central point of the die head at the head of the pipeline extruder as an original point, and generating an offset signal if the central point of the die core does not coincide with the original point of the X-Y two-dimensional coordinate system; acquiring an offset influence value, and if the offset influence value is greater than an offset influence threshold, generating an offset influence signal; and based on the offset influence signal, the offset regulation and control value and the offset regulation and control angle are obtained, the gap between the inner wall of the die head at the head of the pipeline extruder and the outer wall of the die core is adjusted, and the extrusion blow molding quality of the pipeline extruder is improved.

Description

Technical Field

[0001] The invention belongs to the technical field of operation monitoring, in particular to an operation monitoring method and system based on a PE pipe processing extruder. Background Art

[0002] The pipe extruder usually consists of an extruder mainframe, a mold, a cooling device, a traction device, and a cutting device. The extruder mainframe is responsible for heating, melting, and extruding the plastic raw materials, while the mold determines the shape and size of the pipe. The cooling device is used to quickly cool and shape the extruded pipe, while the traction device is responsible for straightening the pipe and transporting it to the cutting device for cutting.

[0003] When using the pipe extruder, you need to pay attention to the quality and ratio of the raw materials, as well as the maintenance and care of the equipment. At the same time, according to different production needs, the equipment can also be customized and upgraded to meet the personalized needs of different customers.

[0004] In the prior art, the operating status of the pipe extruder is mostly monitored by analyzing the operating parameters of the pipe extruder, such as operating current, voltage, pressure, temperature and other parameters, and the operation of the pipe extruder is monitored by checking whether the operating parameters are abnormal. There is a lack of analysis of the melt extruded by the pipe extruder, and the analysis accuracy is low. The analysis is not accurate and intuitive enough, and it is unable to provide accurate decision support for producers.

[0005] To this end, the present invention provides an operation monitoring method and system based on a PE pipe processing extruder. Summary of the invention

[0006] In order to make up for the deficiencies of the prior art, at least one technical problem raised in the background technology is solved.

[0007] The technical solution adopted by the present invention to solve the technical problem is: an operation monitoring method based on a PE pipe processing extruder, comprising: Monitor the flow value of the melt between the inner wall of the die head and the outer wall of the die core at the die head of the pipe extruder during the operation cycle, and analyze and obtain the uniform flow value; The flow average value is obtained as follows: A number of equally spaced flow collection points are arranged in a ring in the gap area between the inner wall of the die head and the outer wall of the die core at the die head of the pipe extruder. If the absolute deviation of the flow at the flow collection point is greater than the absolute mean deviation of the flow at the flow collection point, the flow collection point is marked as an abnormal flow point. Get the number of abnormal traffic points SL and the abnormality value CD, through the formula: The flow rate uniformity value JY is obtained, where a1 and a2 are both preset proportional coefficients; The flow average value is compared with the flow average threshold value. If the flow average value is greater than or equal to the flow average threshold value, a flow abnormality signal is generated. Based on the abnormal flow signal, an XY two-dimensional coordinate system is constructed with the center point of the die head at the pipe extruder head as the origin, and the center point of the die core is marked in the XY two-dimensional coordinate system. If the center point of the die core does not coincide with the origin of the XY two-dimensional coordinate system, an offset signal is generated; Based on the offset signal, obtaining an offset influence value, comparing the offset influence value with an offset influence threshold, and generating an offset influence signal if the offset influence value is greater than the offset influence threshold; Based on the offset influence signal, the offset control value and the offset control angle are obtained, and the gap between the inner wall of the die head and the outer wall of the die core at the head of the pipe extruder is adjusted according to the offset control value and the offset control angle to complete the online monitoring of the operating status of the extruder.

[0008] As a further technical solution of the present invention, the absolute deviation of the flow rate at the flow collection point and the absolute mean deviation of the flow rate at the flow collection point are obtained as follows: The flow value at each flow collection point is obtained respectively, and the sum is taken to obtain the flow mean at the head of the machine, the flow value at the flow collection point is processed with the flow mean at the head of the machine to obtain the flow deviation at the flow collection point, and the flow deviation at the flow collection point is processed by taking the absolute value to obtain the absolute deviation of the flow at the flow collection point; The absolute deviations of the flow at all flow collection points are summed and averaged to obtain the absolute mean deviation of the flow at the flow collection points.

[0009] As a further technical solution of the present invention, the method for obtaining the value SL of the number of abnormal flow points is as follows: The number of abnormal traffic points and the number of traffic collection points are counted, and the number of abnormal traffic points is ratioed to the number of traffic collection points to obtain the quantity ratio value.

[0010] As a further technical solution of the present invention, the abnormality value is obtained in the following manner: Obtain the absolute deviation of the flow at the abnormal flow point, perform difference processing on the absolute deviation of the flow at the abnormal flow point and the absolute mean deviation of the flow at the flow collection point to obtain the out-of-bounds deviation of the flow at the abnormal flow point, sum and average the out-of-bounds deviations of the flow at all abnormal flow points to obtain the out-of-bounds mean deviation of the flow at the abnormal flow point, perform ratio processing on the out-of-bounds mean deviation of the flow at the abnormal flow point and the absolute mean deviation of the flow at the flow collection point to obtain the abnormal degree value.

[0011] As a further technical solution of the present invention, the offset influence value is obtained by: Obtain the deviation number ratio SX of abnormal flow points, the number ratio SC of abnormal flow point data groups, and the number ratio SH of synchronous abnormal flow point data groups and perform data processing, through the formula: The offset influence value PY is obtained, wherein s1, s2 and s3 are all preset proportional coefficients.

[0012] As a further technical solution of the present invention, the deviation number ratio SX of the abnormal flow point is obtained in the following manner: According to the contour of the inner wall of the die at the head of the pipe extruder, the contour line of the inner wall of the die at the head of the pipe extruder is constructed in the XY coordinate system. At the same time, according to the shortest distance between each flow collection point and the inner wall of the die, the flow collection point is marked in the XY coordinate system; In the XY two-dimensional coordinate system, the origin of the XY two-dimensional coordinate system is connected with the center point of the marked core to obtain a core offset line, and both sides of the core offset line are extended so that both ends of the core offset line intersect with the contour line of the inner wall of the die head at the head of the pipe extruder, and the area surrounded by the contour line of the inner wall of the die head at the head of the pipe extruder is divided into two sub-areas by the core offset line, and one of the sub-areas is marked as a first sub-area, and the other sub-area is marked as a second sub-area; Marking an abnormal flow point among the flow collection points in the first sub-area as a first abnormal flow point, and marking an abnormal flow point among the flow collection points in the second sub-area as a second abnormal flow point; The number of the first abnormal flow points and the number of the second abnormal flow points are obtained respectively, and the difference is made to obtain the deviation number of the abnormal flow points, and the deviation number of the abnormal flow points is ratio-processed with the number of flow collection points to obtain the deviation number ratio SX of the abnormal flow points.

[0013] As a further technical solution of the present invention, the number ratio SC of the abnormal flow point data group is obtained in the following manner: Draw a perpendicular line from each first abnormal flow point to the core offset line, and extend the perpendicular line to obtain a core offset extension line. If the core offset extension line passes through a second abnormal flow point, the first abnormal flow point corresponding to the core offset extension line and the second abnormal flow point along the path are integrated into an abnormal flow point data group. Counting the number of abnormal flow point data groups, performing ratio processing on the number of abnormal flow point data groups and the number threshold of abnormal flow data groups, and obtaining the number ratio SC of abnormal flow point data groups; The number threshold of the abnormal traffic data group is equal to the integer value of the result of dividing the number of all abnormal traffic points by 2.

[0014] As a further technical solution of the present invention, the number ratio SH of the synchronous abnormal flow point data group is obtained as follows: Respectively obtain the flow value at the first abnormal flow point and the flow value at the second abnormal flow point in the abnormal flow point data group, and if the flow value at the first abnormal flow point is equal to the flow value at the second abnormal flow point, mark the abnormal flow point data group as a synchronous abnormal flow point data group; The number of synchronous abnormal flow point data groups in the abnormal flow data group is counted, and the number of synchronous abnormal flow point data groups is ratioed with the number of abnormal flow data groups to obtain the number ratio SH of synchronous abnormal flow point data groups.

[0015] As a further technical solution of the present invention, the offset control value and the offset control angle are obtained in the following manner: The length of the core offset line is obtained and used as the offset control value. At the same time, in the XY coordinate system, the horizontal angle between the core offset line and the X-axis is obtained to obtain the offset control angle.

[0016] An operation monitoring system based on a PE pipe processing extruder comprises: Uniform data module: obtains the flow data of the melt between the inner wall of the die head and the outer wall of the die core at the die head of the pipe extruder during the operation cycle, wherein the flow data includes the flow value, and the uniform flow value is obtained based on the analysis of the flow data; The flow average value is obtained as follows: A number of equally spaced flow collection points are arranged in a ring in the gap area between the inner wall of the die head and the outer wall of the die core at the die head of the pipe extruder. If the absolute deviation of the flow at the flow collection point is greater than the absolute mean deviation of the flow at the flow collection point, the flow collection point is marked as an abnormal flow point. Get the number of abnormal traffic points SL and the abnormality value CD, through the formula: The flow rate uniformity value JY is obtained, where a1 and a2 are both preset proportional coefficients; Average abnormality judgment module: compares the flow average value with the flow average threshold. If the flow average value is greater than or equal to the flow average threshold, a flow abnormality signal is generated. Offset analysis module: Based on the abnormal flow signal, an XY two-dimensional coordinate system is constructed with the center point of the die head at the pipe extruder head as the origin, and the center point of the die core is marked in the XY two-dimensional coordinate system. If the center point of the die core does not coincide with the origin of the XY two-dimensional coordinate system, an offset signal is generated; Offset impact analysis module: based on the offset signal, obtains an offset impact value, compares the offset impact value with an offset impact threshold, and generates an offset impact signal if the offset impact value is greater than the offset impact threshold; Offset control module: based on the offset influence signal, the offset control value and the offset control angle are obtained, and the gap between the inner wall of the die head and the outer wall of the die core at the head of the pipe extruder is adjusted according to the offset control value and the offset control angle.

[0017] The beneficial effects of the present invention are as follows: 1. The present invention obtains flow data of the melt at the head of the pipe extruder during the operation cycle, wherein the flow data includes a flow value. Based on analyzing the flow data, a flow uniformity value is obtained. By comparing the flow uniformity value with a flow uniformity threshold, it is determined whether the pipe extruder has a uniform basis for the melt during the operation cycle. If it is not uniform, an abnormal signal is generated to monitor the extrusion quality of the pipe extruder. Compared with analyzing the operating data of temperature, pressure, and voltage, the analysis accuracy is higher and the analysis is more intuitive.

[0018] 2. The present invention is based on the flow abnormality signal, constructs an XY two-dimensional coordinate system with the center point of the die at the head of the pipe extruder as the origin, and marks the center point of the core in the XY two-dimensional coordinate system, and determines whether the core is offset according to the center point of the core. If offset occurs, an offset signal is generated, and an offset influence value is obtained based on the offset signal, and the offset influence value is compared with the offset influence threshold. If the offset influence value is greater than the offset influence threshold, an offset influence signal is generated, and an offset control value and an offset control angle are obtained based on the offset influence signal. The gap between the inner wall of the die at the head of the pipe extruder and the outer wall of the core is adjusted according to the offset control value and the offset control angle, which is beneficial to improving the extrusion blow molding quality of the melt. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The present invention will be further described below in conjunction with the accompanying drawings.

[0020] Figure 1 is a flow chart of Embodiment 1 of the present invention; Figure 2 is a flow chart of Embodiment 2 of the present invention; Figure 3 It is a system module diagram of embodiment 3 of the present invention. DETAILED DESCRIPTION

[0021] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below in conjunction with specific implementation methods.

[0022] Example 1 like Figure 1 The operation monitoring method based on the PE pipe processing extruder described in the embodiment of the present invention includes: Step 1: Obtain flow data of the melt between the inner wall of the die head and the outer wall of the die core at the die head of the pipe extruder during the operation cycle, wherein the flow data includes a flow value, and obtain a flow uniformity value based on analyzing the flow data; In some embodiments, a plurality of equidistant flow collection points are annularly arranged in the gap area between the inner wall of the die head and the outer wall of the die core at the die head of the pipe extruder, and the flow value at each flow collection point is obtained respectively, and the sum and average are taken to obtain the flow mean at the die head, and the flow value at the flow collection point is subjected to difference processing with the flow mean at the die head to obtain the flow deviation at the flow collection point, and the flow deviation at the flow collection point is subjected to absolute value processing to obtain the absolute flow deviation at the flow collection point, and the absolute flow deviations at all flow collection points are summed and averaged to obtain the absolute mean flow deviation at the flow collection point; It should be noted that the shortest distance between each flow collection point and the inner wall of the die head is equal; The absolute deviation of the flow at the flow collection point is compared with the absolute mean deviation of the flow at the flow collection point. The specific comparison process is as follows: If the absolute deviation of the flow at the flow collection point is greater than the absolute mean deviation of the flow at the flow collection point, then the flow collection point is marked as an abnormal flow point; If the absolute deviation of the flow at the flow collection point is less than or equal to the absolute mean deviation of the flow at the flow collection point, then the flow collection point is marked as a normal flow point; In some embodiments, performance data of abnormal traffic points are obtained, wherein the performance data includes a quantity ratio value and an abnormality degree value; Get the quantity percentage value and mark it as SL; Get the abnormality degree value and mark it as CD; By formula: The flow rate uniformity value JY is obtained, where a1 and a2 are both preset proportional coefficients; It should be noted that the flow uniformity value means: the flow uniformity value reflects the degree of uniformity deviation of the flow between different flow collection points at the head. The larger the flow uniformity value, the worse the flow uniformity between different flow collection points. The smaller the flow uniformity value, the better the flow uniformity between different flow collection points. Exemplarily, the quantity percentage value is obtained in the following manner: Count the number of abnormal traffic points and the number of traffic collection points, and perform ratio processing on the number of abnormal traffic points and the number of traffic collection points to obtain a quantity ratio value; Exemplarily, the abnormality degree value is obtained in the following manner: Obtain the absolute deviation of the flow at the abnormal flow point, perform difference processing on the absolute deviation of the flow at the abnormal flow point and the absolute mean deviation of the flow at the flow collection point to obtain the out-of-bounds deviation of the flow at the abnormal flow point, sum and average the out-of-bounds deviations of the flow at all abnormal flow points to obtain the out-of-bounds mean deviation of the flow at the abnormal flow point, perform ratio processing on the out-of-bounds mean deviation of the flow at the abnormal flow point and the absolute mean deviation of the flow at the flow collection point to obtain the abnormal degree value; Step 2: Compare the traffic average value with the traffic average threshold. If the traffic average value is greater than or equal to the traffic average threshold, a traffic anomaly signal is generated. In some implementations, the flow average value is compared with the flow average threshold, and the specific comparison process is as follows: If the flow average value is greater than or equal to the flow average threshold, a flow abnormality signal is generated; If the flow average value is less than the flow average threshold, a flow normal signal is generated; The technical solution of the embodiment of the present invention is: obtaining flow data of the melt at the head of the pipe extruder during the operation cycle, wherein the flow data includes a flow value, and obtaining a flow uniformity value based on the analysis of the flow data, and by comparing the flow uniformity value with a flow uniformity threshold, determining whether the pipe extruder has a uniform basis for the melt during the operation cycle, and if not, generating an abnormal signal to monitor the extrusion quality of the pipe extruder.

[0023] Example 2 like Figure 2 As shown, based on Example 1, an operation monitoring method based on a PE pipe processing extruder according to an embodiment of the present invention includes: Step 3: Based on the abnormal flow signal, an XY two-dimensional coordinate system is constructed with the center point of the die head at the pipe extruder head as the origin, and the center point of the mold core is marked in the XY two-dimensional coordinate system. It is determined whether the mold core is offset according to the center point of the mold core. If offset occurs, an offset signal is generated; Specifically, if the center point of the mold core does not coincide with the origin of the XY two-dimensional coordinate system, an offset signal is generated; If the center point of the mold core coincides with the origin of the XY two-dimensional coordinate system, a non-deflected signal is generated; It should be noted that the plane of the XY two-dimensional coordinate system is perpendicular to the die head; Step 4: Based on the offset signal, obtain an offset influence value, compare the offset influence value with an offset influence threshold, and if the offset influence value is greater than the offset influence threshold, generate an offset influence signal; According to the contour of the inner wall of the die at the head of the pipe extruder, the contour line of the inner wall of the die at the head of the pipe extruder is constructed in the XY coordinate system. At the same time, according to the shortest distance between each flow collection point and the inner wall of the die, the flow collection point is marked in the XY coordinate system, wherein the shortest distance between the marked flow collection point in the XY coordinate system and the contour line of the inner wall of the die at the head of the pipe extruder is equal to the shortest distance between the flow collection point and the inner wall of the die; In the XY two-dimensional coordinate system, the origin of the XY two-dimensional coordinate system (the center point of the die head) is connected with the center point of the marked die core to obtain a die core offset line, and both sides of the die core offset line are extended so that the two ends of the die core offset line intersect with the contour line of the inner wall of the die head at the head of the pipe extruder, and the area surrounded by the contour line of the inner wall of the die head at the head of the pipe extruder is divided into two sub-areas by the die core offset line, and one of the sub-areas is marked as a first sub-area, and the other sub-area is marked as a second sub-area; Marking an abnormal flow point among the flow collection points in the first sub-area as a first abnormal flow point, and marking an abnormal flow point among the flow collection points in the second sub-area as a second abnormal flow point; The number of the first abnormal flow point and the number of the second abnormal flow point are obtained respectively, and the difference is made to obtain the deviation number of the abnormal flow point, and the deviation number of the abnormal flow point is processed by ratio processing with the number of flow collection points to obtain the deviation number ratio of the abnormal flow point, and marked as SX; Draw a perpendicular line from each first abnormal flow point to the core offset line, and extend the perpendicular line to obtain a core offset extension line. If the core offset extension line passes through a second abnormal flow point, the first abnormal flow point corresponding to the core offset extension line and the second abnormal flow point along the path are integrated into an abnormal flow point data group. Count the number of abnormal flow point data groups, perform ratio processing on the number of abnormal flow point data groups and the number threshold of abnormal flow data groups, obtain the number ratio of abnormal flow point data groups, and mark it as SC; The number threshold of the abnormal traffic data group is equal to the integer value of the result of dividing the number of all abnormal traffic points by 2; Based on the abnormal flow point data group, respectively obtain the flow value at the first abnormal flow point and the flow value at the second abnormal flow point in the abnormal flow point data group; if the flow value at the first abnormal flow point is equal to the flow value at the second abnormal flow point, mark the abnormal flow point data group as a synchronous abnormal flow point data group; if the flow value at the first abnormal flow point is not equal to the flow value at the second abnormal flow point, mark the abnormal flow point data group as an asynchronous abnormal flow point data group; Counting the number of synchronous abnormal flow point data groups in the abnormal flow data group, performing ratio processing on the number of synchronous abnormal flow point data groups and the number of abnormal flow data groups, obtaining the number ratio of synchronous abnormal flow point data groups, and marking it as SH; Data processing is performed on the deviation number ratio SX of abnormal flow points, the number ratio SC of abnormal flow point data groups, and the number ratio SH of synchronous abnormal flow point data groups, through the formula: Obtain an offset influence value PY, where s1, s2 and s3 are all preset proportional coefficients; In some embodiments, the offset impact value PY is compared to an offset impact threshold; If the offset impact value PY is greater than or equal to the offset impact threshold, an offset impact signal is generated; If the offset impact value PY is less than the offset impact threshold, a non-offset impact signal is generated; Among them, the meaning of the offset influence value is: in the case of core offset, there will be two flow collection points on the outer wall of the core that are symmetrically distributed along the core offset route, and the shortest distance between the two flow collection points and the inner wall of the die head is equal. If all abnormal flow collection points are symmetrically distributed as mentioned above and the flow rates at the two symmetrical abnormal flow collection points are the same, it means that the core offset affects the uniform extrusion of the melt. The offset influence value reflects the proportion of the number of abnormal flow collection points with symmetrical distribution and the proportion of the number of abnormal flow collection points with the same flow rate among the symmetrically distributed abnormal flow collection points. The larger the offset influence value, the stronger the influence of the core offset. If the offset influence value is smaller, the weaker the influence of the core offset. Step 5: Based on the offset influence signal, an offset control value and an offset control angle are obtained, and a gap between an inner wall of a die head and an outer wall of a die core at a head of the pipe extruder is adjusted according to the offset control value and the offset control angle; Specifically, the length of the core offset line is obtained and used as the offset control value. At the same time, in the XY coordinate system, the horizontal angle between the core offset line and the X-axis is obtained to obtain the offset control angle.

[0024] The technical solution of the embodiment of the present invention is: based on the flow abnormality signal, an XY two-dimensional coordinate system is constructed with the center point of the die at the head of the pipe extruder as the origin, and the center point of the core is marked in the XY two-dimensional coordinate system, and whether the core is offset is determined according to the center point of the core. If offset occurs, an offset signal is generated, and based on the offset signal, an offset influence value is obtained, and the offset influence value is compared with the offset influence threshold. If the offset influence value is greater than the offset influence threshold, an offset influence signal is generated, and based on the offset influence signal, an offset control value and an offset control angle are obtained, and the gap between the inner wall of the die at the head of the pipe extruder and the outer wall of the core is adjusted according to the offset control value and the offset control angle, which is beneficial to improving the extrusion blow molding quality of the pipe extruder.

[0025] Example 3 like Figure 3 As shown, an operation monitoring system based on a PE pipe processing extruder according to an embodiment of the present invention includes: Uniform data module: obtains the flow data of the melt between the inner wall of the die head and the outer wall of the die core at the die head of the pipe extruder during the operation cycle, wherein the flow data includes the flow value, and the uniform flow value is obtained based on the analysis of the flow data; Average abnormality judgment module: compares the flow average value with the flow average threshold. If the flow average value is greater than or equal to the flow average threshold, a flow abnormality signal is generated. Offset analysis module: Based on the abnormal flow signal, an XY two-dimensional coordinate system is constructed with the center point of the die head at the pipe extruder head as the origin, and the center point of the mold core is marked in the XY two-dimensional coordinate system. The mold core is judged whether it is offset according to the center point of the mold core. If offset occurs, an offset signal is generated; Offset impact analysis module: based on the offset signal, obtains an offset impact value, compares the offset impact value with an offset impact threshold, and generates an offset impact signal if the offset impact value is greater than the offset impact threshold; Offset control module: based on the offset influence signal, the offset control value and the offset control angle are obtained, and the gap between the inner wall of the die head and the outer wall of the die core at the head of the pipe extruder is adjusted according to the offset control value and the offset control angle.

[0026] The above shows and describes the basic principles, main features and advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A method for monitoring the operation of a PE pipe processing extruder, characterized in that: include: Monitor the flow value of the melt between the inner wall of the die head and the outer wall of the die core at the die head of the pipe extruder during the operation cycle, and analyze and obtain the uniform flow value; The flow average value is obtained as follows: A number of equally spaced flow collection points are arranged in a ring in the gap area between the inner wall of the die head and the outer wall of the die core at the die head of the pipe extruder. If the absolute deviation of the flow at the flow collection point is greater than the absolute mean deviation of the flow at the flow collection point, the flow collection point is marked as an abnormal flow point. The average traffic value is obtained based on the number, percentage and degree of abnormal traffic points; The flow average value is compared with the flow average threshold value. If the flow average value is greater than or equal to the flow average threshold value, a flow abnormality signal is generated. Based on the abnormal flow signal, an XY two-dimensional coordinate system is constructed with the center point of the die head at the pipe extruder head as the origin, and the center point of the die core is marked in the XY two-dimensional coordinate system. If the center point of the die core does not coincide with the origin of the XY two-dimensional coordinate system, an offset signal is generated; Based on the offset signal, obtaining an offset influence value, comparing the offset influence value with an offset influence threshold, and generating an offset influence signal if the offset influence value is greater than the offset influence threshold; Based on the offset influence signal, the offset control value and the offset control angle are obtained, and the gap between the inner wall of the die head and the outer wall of the die core at the head of the pipe extruder is adjusted according to the offset control value and the offset control angle to complete the online monitoring of the operating status of the extruder.

2. The operation monitoring method based on a PE pipe processing extruder according to claim 1, characterized in that: The absolute deviation of the flow rate at the flow collection point and the absolute mean deviation of the flow rate at the flow collection point are obtained as follows: The flow value at each flow collection point is obtained respectively, and the sum is taken to obtain the flow mean at the head of the machine, the flow value at the flow collection point is processed with the flow mean at the head of the machine to obtain the flow deviation at the flow collection point, and the flow deviation at the flow collection point is processed by taking the absolute value to obtain the absolute deviation of the flow at the flow collection point; The absolute deviations of the flow at all flow collection points are summed and averaged to obtain the absolute mean deviation of the flow at the flow collection points.

3. The operation monitoring method based on a PE pipe processing extruder according to claim 1, characterized in that: The method for obtaining the value SL of the number of abnormal traffic points is as follows: The number of abnormal traffic points and the number of traffic collection points are counted, and the number of abnormal traffic points is ratioed to the number of traffic collection points to obtain the quantity ratio value.

4. The operation monitoring method based on a PE pipe processing extruder according to claim 1, characterized in that: The abnormality degree value is obtained in the following manner: Obtain the absolute deviation of the flow at the abnormal flow point, perform difference processing on the absolute deviation of the flow at the abnormal flow point and the absolute mean deviation of the flow at the flow collection point to obtain the out-of-bounds deviation of the flow at the abnormal flow point, sum and average the out-of-bounds deviations of the flow at all abnormal flow points to obtain the out-of-bounds mean deviation of the flow at the abnormal flow point, perform ratio processing on the out-of-bounds mean deviation of the flow at the abnormal flow point and the absolute mean deviation of the flow at the flow collection point to obtain the abnormal degree value.

5. The operation monitoring method based on a PE pipe processing extruder according to claim 1, characterized in that: The offset impact value is obtained in the following manner: Obtain the deviation number ratio SX of abnormal flow points, the number ratio SC of abnormal flow point data groups, and the number ratio SH of synchronous abnormal flow point data groups and perform data processing, through the formula: The offset influence value PY is obtained, wherein s1, s2 and s3 are all preset proportional coefficients.

6. The operation monitoring method based on the PE pipe processing extruder according to claim 5 is characterized in that: The deviation number ratio SX of the abnormal flow point is obtained as follows: According to the contour of the inner wall of the die at the head of the pipe extruder, the contour line of the inner wall of the die at the head of the pipe extruder is constructed in the XY coordinate system. At the same time, according to the shortest distance between each flow collection point and the inner wall of the die, the flow collection point is marked in the XY coordinate system; In the XY two-dimensional coordinate system, the origin of the XY two-dimensional coordinate system is connected with the center point of the marked core to obtain a core offset line, and both sides of the core offset line are extended so that both ends of the core offset line intersect with the contour line of the inner wall of the die head at the head of the pipe extruder, and the area surrounded by the contour line of the inner wall of the die head at the head of the pipe extruder is divided into two sub-areas by the core offset line, and one of the sub-areas is marked as a first sub-area, and the other sub-area is marked as a second sub-area; Marking an abnormal flow point among the flow collection points in the first sub-area as a first abnormal flow point, and marking an abnormal flow point among the flow collection points in the second sub-area as a second abnormal flow point; The number of the first abnormal flow points and the number of the second abnormal flow points are obtained respectively, and the difference is made to obtain the deviation number of the abnormal flow points, and the deviation number of the abnormal flow points is ratio-processed with the number of flow collection points to obtain the deviation number ratio SX of the abnormal flow points.

7. The operation monitoring method based on the PE pipe processing extruder according to claim 5 is characterized in that: The number ratio SC of the abnormal flow point data group is obtained as follows: Draw a perpendicular line from each first abnormal flow point to the core offset line, and extend the perpendicular line to obtain a core offset extension line. If the core offset extension line passes through a second abnormal flow point, the first abnormal flow point corresponding to the core offset extension line and the second abnormal flow point along the path are integrated into an abnormal flow point data group. Counting the number of abnormal flow point data groups, performing ratio processing on the number of abnormal flow point data groups and the number threshold of abnormal flow data groups, and obtaining the number ratio SC of abnormal flow point data groups; The number threshold of the abnormal traffic data group is equal to the integer value of the result of dividing the number of all abnormal traffic points by 2.

8. The operation monitoring method based on the PE pipe processing extruder according to claim 5 is characterized in that: The number ratio SH of the synchronous abnormal flow point data group is obtained as follows: Respectively obtain the flow value at the first abnormal flow point and the flow value at the second abnormal flow point in the abnormal flow point data group, and if the flow value at the first abnormal flow point is equal to the flow value at the second abnormal flow point, mark the abnormal flow point data group as a synchronous abnormal flow point data group; The number of synchronous abnormal flow point data groups in the abnormal flow data group is counted, and the number of synchronous abnormal flow point data groups is ratioed with the number of abnormal flow data groups to obtain the number ratio SH of synchronous abnormal flow point data groups.

9. The operation monitoring method based on a PE pipe processing extruder according to claim 1, characterized in that: The offset control value and the offset control angle are obtained as follows: The length of the core offset line is obtained and used as the offset control value. At the same time, in the XY coordinate system, the horizontal angle between the core offset line and the X-axis is obtained to obtain the offset control angle.

10. An operation monitoring system based on a PE pipe processing extruder, characterized in that: The system is used to implement the operation monitoring method according to any one of claims 1 to 9, comprising: Uniform data module: monitors the flow value of the melt between the inner wall of the die head and the outer wall of the core at the die head of the pipe extruder during the operation cycle, and analyzes the uniform flow value; The flow average value is obtained as follows: A number of equally spaced flow collection points are arranged in a ring in the gap area between the inner wall of the die head and the outer wall of the die core at the die head of the pipe extruder. If the absolute deviation of the flow at the flow collection point is greater than the absolute mean deviation of the flow at the flow collection point, the flow collection point is marked as an abnormal flow point. The average traffic value is obtained based on the number, percentage and degree of abnormal traffic points; Average abnormality judgment module: compares the flow average value with the flow average threshold. If the flow average value is greater than or equal to the flow average threshold, a flow abnormality signal is generated. Offset analysis module: Based on the abnormal flow signal, an XY two-dimensional coordinate system is constructed with the center point of the die head at the pipe extruder head as the origin, and the center point of the die core is marked in the XY two-dimensional coordinate system. If the center point of the die core does not coincide with the origin of the XY two-dimensional coordinate system, an offset signal is generated; Offset impact analysis module: based on the offset signal, obtains an offset impact value, compares the offset impact value with an offset impact threshold, and generates an offset impact signal if the offset impact value is greater than the offset impact threshold; Offset control module: based on the offset influence signal, the offset control value and the offset control angle are obtained, and the gap between the inner wall of the die head and the outer wall of the die core at the head of the pipe extruder is adjusted according to the offset control value and the offset control angle.

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