A product production process alarm linkage method and system

Abstract

The present invention belongs to the technical field of product processing, and provides a product production process alarm linkage method and system, comprising: real-time monitoring and acquisition of negative pressure data between a carbon fiber product and a profiling block on a CNC tooling, and comparison to obtain an operation signal and an adjacent ratio, and if the adjacent ratio is greater than or equal to an adjacent ratio threshold, a control analysis signal is generated; according to a vacuum mutation value, an abnormal prediction time is processed to obtain the abnormal prediction time, and the abnormal prediction time is sequentially compared with the remaining cutting time and the response time of a cutting system, a processing signal and an alarm signal are generated, a vacuum change trend value is obtained, and it is judged whether the vacuum degree change presents a linear change, and if so, a second abnormal prediction time is obtained, and the abnormal prediction time is compared with the remaining cutting time and the response time of the cutting system, and a processing signal and an alarm signal are generated according to the comparison result. The present invention improves the cutting accuracy and the quality of the product, and reduces the risk of cutting defects through monitoring and analysis of the vacuum degree.

Description

Technical Field

[0001] The invention belongs to the technical field of product processing, and in particular relates to a product production process alarm linkage method and system. Background Art

[0002] In modern industrial production, the stability and safety of the production process of carbon fiber products are crucial. The traditional production process of carbon fiber products often has a variety of production risks and production quality problems, such as low cutting quality, high cutting defect rate and low cutting monitoring efficiency, which not only affects production efficiency, but also may cause product quality decline and even safety accidents.

[0003] In the prior art, when cutting carbon fiber products, the negative pressure data, that is, the vacuum degree, is often monitored to determine whether the carbon fiber products meet the fixed requirements when cutting, thereby determining whether to cut. However, in practice, the cutting system has a certain response time. If there is no advance analysis of the vacuum degree changes and the analysis combined with the response time of the cutting system, the cutting quality of the carbon fiber products cannot be guaranteed. Moreover, after the vacuum degree abnormality is detected, because the cutting system has a certain response time, it may still cause cutting defects and other problems in many carbon fiber products.

[0004] To this end, the present invention provides a product production process alarm linkage method and system. Summary of the invention

[0005] In order to make up for the deficiencies of the prior art, at least one technical problem raised in the background technology is solved.

[0006] The technical solution adopted by the present invention to solve the technical problem is: a product production process alarm linkage method, comprising:

[0007] Real-time monitoring obtains the negative pressure data between the carbon fiber product and the profiling block on the CNC tooling, and compares and analyzes the negative pressure data to obtain the cutting analysis signal;

[0008] Based on the cutting analysis signal, the vacuum degree is subjected to difference processing and analysis to obtain a proximity ratio. If the proximity ratio is greater than or equal to a proximity ratio threshold, a control analysis signal is generated.

[0009] Based on the control analysis signal, a vacuum mutation value is obtained. If the vacuum mutation value is greater than or equal to the vacuum mutation threshold, a vacuum mutation signal is generated. If the vacuum mutation value is less than the vacuum mutation threshold, a non-vacuum mutation signal is generated.

[0010] Based on the vacuum mutation signal, according to the vacuum mutation value, the abnormal prediction time is processed and compared with the remaining cutting time and the response time of the cutting system in turn, and a processing signal and an alarm signal are generated according to the comparison result, wherein the alarm signal includes a power-off protection signal, and the processing signal includes a cutting continuation signal and a cutting stop signal;

[0011] Based on the non-vacuum mutation signal, a vacuum change trend value is obtained, and whether the vacuum degree change presents a linear change is determined according to the vacuum change trend value. If it presents a linear change, a linear change signal is generated;

[0012] Among them, the method for obtaining the vacuum change trend value is:

[0013] Divide the separation period into several sub-unit periods of equal time, obtain the vacuum degree at the end time point and the start time point of the sub-unit period, and obtain the vacuum degree at the end time point and the start time point of the separation period, and perform difference processing and analysis respectively to obtain the vacuum variables of the sub-unit period and the vacuum variables of the separation period, and compare and analyze to obtain the sub-unit periods with the same trend;

[0014] Obtain the ratio of the number of sub-unit periods with the same trend and the ratio of the mean deviation of the vacuum variable, and perform ratio processing to obtain the vacuum change trend value;

[0015] Based on the linear change signal, the second abnormal prediction time is obtained and compared with the remaining cutting time and the response time of the cutting system in turn, and a processing signal and an alarm signal are generated according to the comparison result, wherein the alarm signal includes a power-off protection signal, and the processing signal includes a cutting continuation signal and a cutting stop signal.

[0016] As a further technical solution of the present invention, the operation signal is generated in the following manner:

[0017] The vacuum degree between the carbon fiber product and the profiling block on the CNC tooling is monitored. When the vacuum degree reaches the normal vacuum range, the carbon fiber product is cut. At the same time, the vacuum degree is monitored in real time. The specific monitoring method is as follows:

[0018] When the vacuum degree does not deviate from the normal vacuum range, a cutting operation signal is generated;

[0019] When the vacuum degree is out of the normal vacuum range but within the specified vacuum range, a cutting analysis signal is generated.

[0020] As a further technical solution of the present invention, the method for obtaining the proximity ratio is specifically as follows:

[0021] Obtain the endpoint value of the normal vacuum range and the endpoint value of the specified vacuum range that are closest to the vacuum degree, perform difference processing on them, and take the absolute value of the result to obtain the change limit value, perform difference processing on the vacuum degree and the endpoint value of the normal vacuum range that is closest to the vacuum degree, and take the absolute value of the result to obtain the change beyond-boundary value, perform ratio processing on the change beyond-boundary value and the change limit value to obtain the adjacent ratio.

[0022] As a further technical solution of the present invention, the vacuum mutation value is obtained by:

[0023] The starting time point when the vacuum degree deviates from the normal vacuum range and the time point when the control analysis signal is generated are obtained, and difference processing is performed according to the time points to obtain the out-of-bounds time. The out-of-bounds time is ratio-processed with the corresponding time of the cutting cycle to obtain the out-of-bounds time ratio, and the adjacent ratio is ratio-processed with the out-of-bounds time ratio to obtain the vacuum mutation value.

[0024] As a further technical solution of the present invention, the abnormal prediction time is obtained in the following manner:

[0025] The variation over-limit value is processed by difference with the variation limit value to obtain the allowable variation value, the variation over-limit value is processed by ratio with the over-limit time to obtain the mutation rate value, the allowable variation value is calculated by ratio with the mutation rate value to obtain the abnormal prediction time.

[0026] As a further technical solution of the present invention, the response time of the cutting system is the time from the start time of sending the cutting stop signal to the time when the cutting system reaches the cutting stop state;

[0027] The remaining cutting time is obtained as follows:

[0028] The time point at which the vacuum mutation signal is generated and the start time point of the carbon fiber product cutting are obtained, and the remaining cutting time is obtained by subtracting the time points.

[0029] As a further technical solution of the present invention, the abnormal prediction time is compared with the remaining cutting time and the response time of the cutting system in sequence. The specific process is as follows:

[0030] The abnormal prediction time is first compared with the cutting remaining time;

[0031] If the abnormal prediction time is greater than or equal to the remaining cutting time, a cutting continuation signal is generated;

[0032] If the abnormality prediction time is less than the remaining time for cutting, the abnormality prediction time is compared with the response time of the cutting system;

[0033] If the abnormal prediction time is greater than or equal to the response time of the cutting system, a cutting stop signal is generated;

[0034] If the abnormality prediction time is less than the response time of the cutting system, a power-off protection signal is generated.

[0035] As a further technical solution of the present invention, the method for obtaining the ratio of the number of sub-units in the same trend period to the mean ratio of the vacuum variable deviation is:

[0036] Mark the period between the start time point when the vacuum degree deviates from the normal vacuum range and the time point when the control analysis signal is generated as the deviating period, divide the deviating period into a number of sub-unit periods with equal time, obtain the vacuum degree at the end time point and the start time point of the sub-unit period, perform difference processing on them, obtain the vacuum degree at the end time point and the start time point of the deviating period, perform difference processing on them, and obtain the vacuum variable of the deviating period;

[0037] If the vacuum variable of the sub-unit period is positive or negative with the vacuum variable of the departure period, the sub-unit period is marked as the same trend sub-unit period;

[0038] The number of sub-unit periods with the same trend is obtained, and the number of sub-unit periods with the same trend is processed by ratio with the number of sub-unit periods to obtain the ratio of the number of sub-unit periods with the same trend;

[0039] Perform difference processing on the vacuum variable of the sub-unit period with the same trend and the reference variable of the sub-unit period, and take the absolute value of the difference to obtain the vacuum variable deviation of the sub-unit period with the same trend, sum up and average the vacuum variable deviations of all sub-unit periods with the same trend to obtain the mean of the vacuum variable deviation, perform ratio processing on the mean of the vacuum variable deviation and the variation exceeding the limit value to obtain the mean ratio of the vacuum variable deviation of the sub-unit period with the same trend;

[0040] The reference variable of the sub-unit period is equal to the vacuum variable of the release period divided by the number of sub-unit periods.

[0041] As a further technical solution of the present invention, the second abnormal prediction time is obtained in the following manner:

[0042] The vacuum variable deviation mean value is summed with the time length of the same trend sub-unit period to obtain the vacuum change speed, and the allowed change value is processed with the vacuum change speed to obtain the second abnormal prediction time;

[0043] The second abnormality prediction time is compared with the remaining cutting time and the response time of the cutting system in sequence, and the comparison method is the same as that of the abnormality prediction time.

[0044] A product production process alarm linkage system, comprising:

[0045] Operation analysis module: During the cutting cycle of carbon fiber products, real-time monitoring is performed to obtain the negative pressure data between the carbon fiber products and the profiling block on the CNC tooling, wherein the negative pressure data includes the vacuum degree, and the negative pressure data is compared and analyzed to obtain the operation signal, wherein the operation signal includes the cutting operation signal and the cutting analysis signal;

[0046] Control analysis module: Based on the cutting analysis signal, the vacuum degree is subjected to difference processing and analysis to obtain the proximity ratio. If the proximity ratio is greater than or equal to the proximity ratio threshold, a control analysis signal is generated;

[0047] Mutation analysis module: based on the control analysis signal, the vacuum mutation value is obtained. If the vacuum mutation value is greater than or equal to the vacuum mutation threshold, a vacuum mutation signal is generated. If the vacuum mutation value is less than the vacuum mutation threshold, a non-vacuum mutation signal is generated.

[0048] The first processing module: based on the vacuum mutation signal, according to the vacuum mutation value, the abnormal prediction time is processed, and the remaining cutting time and the response time of the cutting system are compared in sequence, and a processing signal and an alarm signal are generated according to the comparison result, wherein the alarm signal includes a power-off protection signal, and the processing signal includes a cutting continuation signal and a cutting stop signal;

[0049] Linear change analysis module: Based on the non-vacuum mutation signal, the vacuum change trend value is obtained, and the vacuum change trend value is used to determine whether the vacuum degree change is linear. If it is linear, a linear change signal is generated;

[0050] The second processing module: Based on the linear change signal, the second abnormal prediction time is obtained, and compared with the remaining cutting time and the response time of the cutting system in turn, and a processing signal and an alarm signal are generated according to the comparison result, wherein the alarm signal includes a power-off protection signal, and the processing signal includes a cutting continuation signal and a cutting stop signal.

[0051] The beneficial effects of the present invention are as follows: real-time monitoring is performed to obtain negative pressure data between the carbon fiber product and the profiling block on the CNC tooling, and the negative pressure data is compared and analyzed to obtain an operation signal, wherein the operation signal includes a cutting operation signal and a cutting analysis signal; based on the cutting analysis signal, a difference processing and analysis is performed on the vacuum degree to obtain an adjacent ratio, and if the adjacent ratio is greater than or equal to the adjacent ratio threshold, a control analysis signal is generated; based on the control analysis signal, a vacuum mutation value is obtained, and if the vacuum mutation value is greater than or equal to the vacuum mutation threshold, a vacuum mutation signal is generated, and if the vacuum mutation value is less than the vacuum mutation threshold, a non-vacuum mutation signal is generated; based on the vacuum mutation signal, according to the vacuum mutation value, the abnormal prediction time is processed to obtain the abnormal prediction time, and the abnormal prediction time is compared with the remaining cutting time and the response time of the cutting system in turn. , a processing signal and an alarm signal are generated according to the comparison result, wherein the alarm signal includes a power-off protection signal, and the processing signal includes a cutting continuation signal and a cutting stop signal; based on the non-vacuum mutation signal, a vacuum change trend value is obtained, and whether the vacuum degree change presents a linear change is determined according to the vacuum change trend value, and if it presents a linear change, a linear change signal is generated; based on the linear change signal, a second abnormality prediction time is obtained, and compared with the remaining cutting time and the response time of the cutting system in turn, and a processing signal and an alarm signal are generated according to the comparison result, wherein the alarm signal includes a power-off protection signal, and the processing signal includes a cutting continuation signal and a cutting stop signal. The present invention improves the cutting accuracy and the quality of the product, and reduces the risk of cutting defects through the monitoring and analysis of the vacuum degree. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] The present invention will be further described below in conjunction with the accompanying drawings.

[0053] Figure 1 is a flow chart of Embodiment 1 of the present invention;

[0054] Figure 2 It is a system module diagram of embodiment 2 of the present invention. DETAILED DESCRIPTION

[0055] 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. Example 1

[0056] like Figure 1 As shown, a product production process alarm linkage method according to an embodiment of the present invention includes:

[0057] Step 1: During the cutting cycle of the carbon fiber product, real-time monitoring is performed to obtain negative pressure data between the carbon fiber product and the profiling block on the CNC tooling, wherein the negative pressure data includes the vacuum degree, and the negative pressure data is compared and analyzed to obtain an operation signal, wherein the operation signal includes a cutting operation signal and a cutting analysis signal;

[0058] It should be noted that the cutting cycle of carbon fiber products refers to the time required for cutting when the vacuum degree is within the normal range. The cutting cycle of carbon fiber products is obtained by summing and averaging the time required for cutting carbon fiber products when the vacuum degree is within the standard range for multiple statistics.

[0059] It should also be noted that the vacuum degree is monitored and obtained by a negative pressure sensor installed on the CNC tooling, wherein the negative pressure sensor is connected to the profiling block through a vacuum air pipe;

[0060] In some embodiments, the vacuum degree between the carbon fiber product and the profiling block on the CNC tooling is monitored. When the vacuum degree reaches the normal vacuum range, the carbon fiber product is cut. At the same time, the vacuum degree is monitored in real time. The specific monitoring method is:

[0061] When the vacuum degree does not deviate from the normal vacuum range, a cutting operation signal is generated;

[0062] When the vacuum degree is out of the normal vacuum range but within the specified vacuum range, a cutting analysis signal is generated;

[0063] It should be noted that the vacuum specified range indicates the range of vacuum degree changes that carbon fiber products need to achieve to meet cutting requirements, and the vacuum normal range indicates the average range of vacuum degree changes when carbon fiber products are cut within the time of completing normal production and cutting of carbon fiber products for a long time. The normal vacuum range is obtained by obtaining the minimum vacuum degree and maximum vacuum degree that occur when carbon fiber products are cut within multiple historical carbon fiber product cutting cycles. It should be noted that the minimum vacuum degree and the maximum vacuum degree are both within the vacuum specified range, and all minimum vacuum degrees are summed to obtain the minimum vacuum degree mean value, and all maximum vacuum degrees are summed to obtain the maximum vacuum degree mean value. The minimum vacuum degree mean value and the maximum vacuum degree mean value are used as the range endpoint values ​​to obtain the vacuum normal range.

[0064] It should also be noted that the cutting operation signal indicates that the vacuum degree is within the normal vacuum range and continuous cutting can be performed. The cutting analysis signal indicates that compared with the normal cutting situation, the vacuum degree is out of the normal vacuum range, but still within the specified vacuum range, and the vacuum degree needs to be monitored and analyzed for changes.

[0065] Step 2: Based on the cutting analysis signal, the vacuum degree is subjected to difference processing and analysis to obtain a proximity ratio. If the proximity ratio is greater than or equal to a proximity ratio threshold, a control analysis signal is generated;

[0066] Specifically, the endpoint value of the vacuum normal range and the endpoint value of the vacuum specified range that are closest to the vacuum degree are obtained, and a difference process is performed between them, and the absolute value of the result is taken to obtain the change limit value, the vacuum degree is subjected to a difference process between the endpoint value of the vacuum normal range that is closest to the vacuum degree, and the absolute value of the result is taken to obtain the change over-limit value, and the change over-limit value is subjected to a ratio process with the change limit value to obtain an adjacent ratio;

[0067] In some embodiments, the proximity ratio is compared to a proximity ratio threshold:

[0068] If the proximity ratio is greater than or equal to the proximity ratio threshold, a control analysis signal is generated;

[0069] If the proximity ratio is less than the proximity ratio threshold, no operation is performed;

[0070] It should be noted that the control analysis signal indicates that the vacuum degree is out of the normal vacuum range and is still within the vacuum specified range, but is closer to the edge of the vacuum specified range. In order to prevent the vacuum degree from being out of the vacuum specified range, control analysis is required;

[0071] It should be noted that the vacuum degree under various operating conditions is obtained, and it is processed with the endpoint value of the vacuum degree range to obtain the corresponding proximity ratio. The staff identifies the proximity state of the current vacuum degree according to the obtained multiple sets of proximity ratios, thereby obtaining a corresponding relationship between the proximity ratio and the vacuum degree proximity state, and then derives and divides the vacuum degree proximity ratio threshold according to the vacuum degree proximity state corresponding to the proximity ratio, thereby obtaining the proximity ratio threshold;

[0072] Step 3: Based on the control analysis signal, a vacuum mutation value is obtained. If the vacuum mutation value is greater than or equal to the vacuum mutation threshold, a vacuum mutation signal is generated. If the vacuum mutation value is less than the vacuum mutation threshold, a non-vacuum mutation signal is generated.

[0073] In some embodiments, the starting time point when the vacuum degree deviates from the normal vacuum range and the time point when the control analysis signal is generated are obtained, and difference processing is performed according to the time points to obtain the out-of-bounds time, and the out-of-bounds time is ratio processed with the corresponding time of the cutting cycle to obtain the out-of-bounds time ratio, and the adjacent ratio is ratio processed with the out-of-bounds time ratio to obtain the vacuum mutation value;

[0074] In some embodiments, the vacuum jump value is compared to a vacuum jump threshold:

[0075] If the vacuum mutation value is greater than or equal to the vacuum mutation threshold, a vacuum mutation signal is generated;

[0076] If the vacuum mutation value is less than the vacuum mutation threshold, a non-vacuum mutation signal is generated;

[0077] It should be noted that the vacuum mutation value actually reflects the rate value of the vacuum degree change. The vacuum mutation signal indicates that after the vacuum degree leaves the normal vacuum range, its change rate after leaving is faster, indicating that the vacuum degree has undergone a mutational change. Conversely, the non-vacuum mutation signal indicates that after the vacuum degree leaves the normal vacuum range, its change rate after leaving is slower, indicating that the vacuum degree has not undergone a mutational change.

[0078] It should be noted that in the process of product production, there are multiple groups of vacuum degree data. According to the processing of vacuum degree data, the proximity ratio and the over-limit time ratio of each vacuum degree value pair are obtained respectively. After processing many groups of proximity ratios and over-limit time ratios, vacuum mutation values ​​are obtained. The staff identifies the mutation state of vacuum degree according to so many groups of vacuum degrees, thereby obtaining a corresponding relationship between a vacuum mutation value and a vacuum mutation state, and then derives and divides the vacuum mutation threshold according to the vacuum mutation state corresponding to the vacuum mutation value, thereby obtaining the vacuum mutation threshold;

[0079] Step 4: Based on the vacuum mutation signal and the vacuum mutation value, the abnormal prediction time is processed and compared with the remaining cutting time and the response time of the cutting system in sequence, and a processing signal and an alarm signal are generated according to the comparison results, wherein the alarm signal includes a power-off protection signal, and the processing signal includes a cutting continuation signal and a cutting stop signal;

[0080] In some embodiments, the variation over-limit value is subjected to difference processing with the variation limit value to obtain the allowed variation value, the variation over-limit value is subjected to ratio processing with the over-limit time to obtain the mutation rate value, and the allowed variation value is subjected to ratio calculation with the mutation rate value to obtain the abnormal prediction time;

[0081] It should be noted that the allowable change value reflects the amount of sudden change of the vacuum degree based on the current vacuum degree, provided that the vacuum degree does not deviate from the specified vacuum range. The allowable change value is compared with the mutation rate value to obtain the time for the allowed mutation, which is the abnormality prediction time.

[0082] It should also be noted that the response time of the cutting system is the time between the start time of sending the cutting stop signal and the time when the cutting system reaches the stop cutting state;

[0083] The remaining time of cutting is obtained as follows:

[0084] The time point at which the vacuum mutation signal is generated and the start time point of the carbon fiber product cutting are obtained, and the remaining cutting time is obtained by subtracting the time points;

[0085] The abnormal prediction time is first compared with the cutting remaining time;

[0086] If the abnormal prediction time is greater than or equal to the remaining cutting time, a cutting continuation signal is generated;

[0087] If the abnormality prediction time is less than the remaining time for cutting, the abnormality prediction time is compared with the response time of the cutting system;

[0088] If the abnormal prediction time is greater than or equal to the response time of the cutting system, a cutting stop signal is generated;

[0089] If the abnormality prediction time is less than the response time of the cutting system, a power-off protection signal is generated;

[0090] It should be noted that the cutting continuation signal indicates that the cutting of the carbon fiber product can be completed within the abnormal prediction time (the remaining time for the vacuum degree to deviate from the specified vacuum range), and the cutting continuation signal is generated. Based on the cutting continuation signal, the cutting of the carbon fiber product is continued until completion. The cutting stop signal indicates that the cutting of the carbon fiber product cannot be completed within the abnormal prediction time, but the cutting protection of the carbon fiber product can be achieved by stopping the cutting within the abnormal prediction time. The power-off protection signal indicates that the cutting of the carbon fiber product cannot be completed within the abnormal prediction time and the cutting protection of the carbon fiber product cannot be achieved by stopping the cutting. The reason is that the remaining time for the vacuum degree to deviate from the specified vacuum range is less than the response time of the cutting system. If the cutting stop signal is sent, the cutting system does not reach the stopped state after the vacuum degree deviates from the specified vacuum range, which will cause cutting damage to the carbon fiber product. Therefore, cutting protection is achieved by powering off.

[0091] Step 5: Based on the non-vacuum mutation signal, a vacuum change trend value is obtained, and whether the vacuum degree change is linear is determined according to the vacuum change trend value. If it is linear, a linear change signal is generated;

[0092] In some embodiments, the period between the start time point when the vacuum degree deviates from the normal vacuum range and the time point when the control analysis signal is generated is marked as the deviating period, the deviating period is obtained and divided into a number of sub-unit periods with equal time, the vacuum degree at the end time point and the start time point of the sub-unit period is obtained, and the difference is processed to obtain the vacuum variable of the sub-unit period, the vacuum degree at the end time point and the start time point of the deviating period is obtained, and the difference is processed to obtain the vacuum variable of the deviating period;

[0093] If the vacuum variable of the sub-unit period is positive or negative with the vacuum variable of the departure period, the sub-unit period is marked as the same trend sub-unit period;

[0094] If the vacuum variable of the sub-unit period is not positive or negative with the vacuum variable of the separation period, the sub-unit period is marked as a non-same trend sub-unit period;

[0095] The number of sub-unit periods with the same trend is obtained, and the number of sub-unit periods with the same trend is processed by ratio with the number of sub-unit periods to obtain the ratio of the number of sub-unit periods with the same trend;

[0096] Perform difference processing on the vacuum variable of the sub-unit period with the same trend and the reference variable of the sub-unit period, and take the absolute value of the difference to obtain the vacuum variable deviation of the sub-unit period with the same trend, sum up and average the vacuum variable deviations of all sub-unit periods with the same trend to obtain the mean of the vacuum variable deviation, perform ratio processing on the mean of the vacuum variable deviation and the variation exceeding the limit value to obtain the mean ratio of the vacuum variable deviation of the sub-unit period with the same trend;

[0097] Wherein, the reference variable of the subunit period is equal to the vacuum variable of the separation period divided by the number of subunit periods;

[0098] The vacuum change trend value is obtained by performing ratio processing on the ratio of the number of sub-unit periods with the same trend and the ratio of the mean deviation of the vacuum variable;

[0099] In some embodiments, the vacuum change trend value is compared to a vacuum change trend threshold value;

[0100] If the vacuum change trend value is greater than or equal to the vacuum change trend threshold, it means that the vacuum degree changes linearly, and a linear change signal is generated;

[0101] If the vacuum change trend value is less than the vacuum change trend threshold, the vacuum degree change does not show a linear change;

[0102] Step 6: Based on the linear change signal, the second abnormal prediction time is obtained, and compared with the remaining cutting time and the response time of the cutting system in sequence, and a processing signal and an alarm signal are generated according to the comparison results, wherein the alarm signal includes a power-off protection signal, and the processing signal includes a cutting continuation signal and a cutting stop signal;

[0103] It should be noted that the second abnormality prediction time is compared with the remaining cutting time and the response time of the cutting system in sequence, and the comparison method is the same as that of the abnormality prediction time, which will not be repeated here;

[0104] Specifically, the second abnormal prediction time is obtained as follows:

[0105] The vacuum variable deviation mean is summed with the time length of the same trend sub-unit period to obtain the vacuum change speed, and the allowed change value is ratioed with the vacuum change speed to obtain the second abnormal prediction time.

[0106] The technical solution of the embodiment of the present invention is: real-time monitoring and acquisition of negative pressure data between the carbon fiber product and the profiling block on the CNC tooling, comparative analysis of the negative pressure data, and obtaining an operation signal, wherein the operation signal includes a cutting operation signal and a cutting analysis signal; based on the cutting analysis signal, differential processing and analysis of the vacuum degree are performed to obtain a proximity ratio, and if the proximity ratio is greater than or equal to a proximity ratio threshold, a control analysis signal is generated; based on the control analysis signal, a vacuum mutation value is obtained, and if the vacuum mutation value is greater than or equal to a vacuum mutation threshold, a vacuum mutation signal is generated, and if the vacuum mutation value is less than the vacuum mutation threshold, a non-vacuum mutation signal is generated; based on the vacuum mutation signal, according to the vacuum mutation value, the abnormal prediction time is processed and compared with the remaining cutting time and the response time of the cutting system in turn. The method comprises the following steps: comparing the comparison result and generating a processing signal and an alarm signal according to the comparison result, wherein the alarm signal includes a power-off protection signal, and the processing signal includes a cutting continuation signal and a cutting stop signal; based on the non-vacuum mutation signal, a vacuum change trend value is obtained, and whether the vacuum degree change presents a linear change is determined according to the vacuum change trend value, and if it presents a linear change, a linear change signal is generated; based on the linear change signal, a second abnormality prediction time is obtained, and the time is compared with the remaining cutting time and the response time of the cutting system in turn, and a processing signal and an alarm signal are generated according to the comparison result, wherein the alarm signal includes a power-off protection signal, and the processing signal includes a cutting continuation signal and a cutting stop signal. The present invention improves the cutting accuracy and the quality of the product, and reduces the risk of cutting defects through the monitoring and analysis of the vacuum degree. Example 2

[0107] like Figure 2 As shown, a product production process alarm linkage system according to an embodiment of the present invention includes:

[0108] Operation analysis module: During the cutting cycle of carbon fiber products, real-time monitoring is performed to obtain the negative pressure data between the carbon fiber products and the profiling block on the CNC tooling, wherein the negative pressure data includes the vacuum degree, and the negative pressure data is compared and analyzed to obtain the operation signal, wherein the operation signal includes the cutting operation signal and the cutting analysis signal;

[0109] Control analysis module: Based on the cutting analysis signal, the vacuum degree is subjected to difference processing and analysis to obtain the proximity ratio. If the proximity ratio is greater than or equal to the proximity ratio threshold, a control analysis signal is generated;

[0110] Mutation analysis module: based on the control analysis signal, the vacuum mutation value is obtained. If the vacuum mutation value is greater than or equal to the vacuum mutation threshold, a vacuum mutation signal is generated. If the vacuum mutation value is less than the vacuum mutation threshold, a non-vacuum mutation signal is generated.

[0111] The first processing module: based on the vacuum mutation signal, according to the vacuum mutation value, the abnormal prediction time is processed, and the remaining cutting time and the response time of the cutting system are compared in sequence, and a processing signal and an alarm signal are generated according to the comparison result, wherein the alarm signal includes a power-off protection signal, and the processing signal includes a cutting continuation signal and a cutting stop signal;

[0112] Linear change analysis module: Based on the non-vacuum mutation signal, the vacuum change trend value is obtained, and the vacuum change trend value is used to determine whether the vacuum degree change is linear. If it is linear, a linear change signal is generated;

[0113] The second processing module: Based on the linear change signal, the second abnormal prediction time is obtained, and compared with the remaining cutting time and the response time of the cutting system in turn, and a processing signal and an alarm signal are generated according to the comparison result, wherein the alarm signal includes a power-off protection signal, and the processing signal includes a cutting continuation signal and a cutting stop signal.

[0114] 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 product production process alarm linkage method, characterized by: include: Real-time monitoring obtains the negative pressure data between the carbon fiber product and the profiling block on the CNC tooling, and compares and analyzes the negative pressure data to obtain the cutting analysis signal; Based on the cutting analysis signal, the vacuum degree is subjected to difference processing and analysis to obtain a proximity ratio. If the proximity ratio is greater than or equal to a proximity ratio threshold, a control analysis signal is generated. Based on the control analysis signal, a vacuum mutation value is obtained, which reflects the rate value of the vacuum degree change. If the vacuum mutation value is greater than or equal to the vacuum mutation threshold, a vacuum mutation signal is generated. If the vacuum mutation value is less than the vacuum mutation threshold, a non-vacuum mutation signal is generated. Based on the vacuum mutation signal, according to the vacuum mutation value, the abnormal prediction time is processed and compared with the remaining cutting time and the response time of the cutting system in turn, and a processing signal and an alarm signal are generated according to the comparison result, wherein the alarm signal includes a power-off protection signal, and the processing signal includes a cutting continuation signal and a cutting stop signal; Based on the non-vacuum mutation signal, a vacuum change trend value is obtained, and whether the vacuum degree change presents a linear change is determined according to the vacuum change trend value. If it presents a linear change, a linear change signal is generated; Among them, the method for obtaining the vacuum change trend value is: Divide the separation period into several sub-unit periods of equal time, obtain the vacuum degree at the end time point and the start time point of the sub-unit period, and obtain the vacuum degree at the end time point and the start time point of the separation period, and perform difference processing and analysis respectively to obtain the vacuum variables of the sub-unit period and the vacuum variables of the separation period, and compare and analyze to obtain the sub-unit periods with the same trend, obtain the number ratio of the sub-unit periods with the same trend and the mean ratio of the vacuum variable deviation, and perform ratio processing to obtain the vacuum change trend value; Based on the linear change signal, the second abnormal prediction time is obtained and compared with the remaining cutting time and the response time of the cutting system in turn, and a processing signal and an alarm signal are generated according to the comparison result, wherein the alarm signal includes a power-off protection signal, and the processing signal includes a cutting continuation signal and a cutting stop signal.

2. A product production process alarm linkage method according to claim 1, characterized in that: The cutting analysis signal is generated in the following manner: The vacuum degree between the carbon fiber product and the profiling block on the CNC tooling is monitored. When the vacuum degree reaches the normal vacuum range, the carbon fiber product is cut. At the same time, the vacuum degree is monitored in real time. The specific monitoring method is as follows: When the vacuum degree does not deviate from the normal vacuum range, a cutting operation signal is generated; When the vacuum degree is out of the normal vacuum range but within the specified vacuum range, a cutting analysis signal is generated.

3. The product production process alarm linkage method according to claim 1, characterized in that: The method for obtaining the proximity ratio is specifically as follows: Obtain the endpoint value of the normal vacuum range and the endpoint value of the specified vacuum range that are closest to the vacuum degree, perform difference processing on them, and take the absolute value of the result to obtain the change limit value, perform difference processing on the vacuum degree and the endpoint value of the normal vacuum range that is closest to the vacuum degree, and take the absolute value of the result to obtain the change beyond-boundary value, perform ratio processing on the change beyond-boundary value and the change limit value to obtain the adjacent ratio.

4. The product production process alarm linkage method according to claim 1, characterized in that: The vacuum mutation value is obtained in the following manner: The starting time point when the vacuum degree deviates from the normal vacuum range and the time point when the control analysis signal is generated are obtained, and difference processing is performed according to the time points to obtain the out-of-bounds time. The out-of-bounds time is ratio-processed with the corresponding time of the cutting cycle to obtain the out-of-bounds time ratio, and the adjacent ratio is ratio-processed with the out-of-bounds time ratio to obtain the vacuum mutation value.

5. A product production process alarm linkage method according to claim 4, characterized in that: The abnormal prediction time is obtained as follows: The variation over-limit value is processed by difference with the variation limit value to obtain the allowable variation value, the variation over-limit value is processed by ratio with the over-limit time to obtain the mutation rate value, the allowable variation value is calculated by ratio with the mutation rate value to obtain the abnormal prediction time.

6. The product production process alarm linkage method according to claim 1, characterized in that: The response time of the cutting system is the time from the start time of sending the cutting stop signal to the time when the cutting system reaches the cutting stop state; The remaining cutting time is obtained as follows: The time point at which the vacuum mutation signal is generated and the start time point of the carbon fiber product cutting are obtained, and the remaining cutting time is obtained by subtracting the time points.

7. The product production process alarm linkage method according to claim 1, characterized in that: The abnormal prediction time is compared with the remaining cutting time and the response time of the cutting system in sequence. The specific process is as follows: The abnormal prediction time is first compared with the cutting remaining time; If the abnormal prediction time is greater than or equal to the remaining cutting time, a cutting continuation signal is generated; If the abnormality prediction time is less than the remaining time for cutting, the abnormality prediction time is compared with the response time of the cutting system; If the abnormal prediction time is greater than or equal to the response time of the cutting system, a cutting stop signal is generated; If the abnormality prediction time is less than the response time of the cutting system, a power-off protection signal is generated.

8. The product production process alarm linkage method according to claim 1, characterized in that: The method for obtaining the ratio of the number of sub-unit periods with the same trend and the ratio of the mean deviation of the vacuum variable is as follows: Mark the period between the start time point when the vacuum degree deviates from the normal vacuum range and the time point when the control analysis signal is generated as the deviating period, divide the deviating period into a number of sub-unit periods with equal time, obtain the vacuum degree at the end time point and the start time point of the sub-unit period, perform difference processing on them, obtain the vacuum degree at the end time point and the start time point of the deviating period, perform difference processing on them, and obtain the vacuum variable of the deviating period; If the vacuum variable of the sub-unit period is positive or negative with the vacuum variable of the departure period, the sub-unit period is marked as the same trend sub-unit period; The number of sub-unit periods with the same trend is obtained, and the number of sub-unit periods with the same trend is processed by ratio with the number of sub-unit periods to obtain the ratio of the number of sub-unit periods with the same trend; Perform difference processing on the vacuum variable of the sub-unit period with the same trend and the reference variable of the sub-unit period, and take the absolute value of the difference to obtain the vacuum variable deviation of the sub-unit period with the same trend, sum up and average the vacuum variable deviations of all sub-unit periods with the same trend to obtain the mean of the vacuum variable deviation, perform ratio processing on the mean of the vacuum variable deviation and the variation exceeding the limit value to obtain the mean ratio of the vacuum variable deviation of the sub-unit period with the same trend; The reference variable of the sub-unit period is equal to the vacuum variable of the release period divided by the number of sub-unit periods.

9. The product production process alarm linkage method according to claim 1, characterized in that: The second abnormal prediction time is obtained as follows: The vacuum variable deviation mean value is summed with the time length of the same trend sub-unit period to obtain the vacuum change speed, and the allowed change value is processed with the vacuum change speed to obtain the second abnormal prediction time; The second abnormality prediction time is compared with the remaining cutting time and the response time of the cutting system in sequence, and the comparison method is the same as that of the abnormality prediction time.

10. A product production process alarm linkage system, the system is used to implement the linkage method according to any one of claims 1 to 9, characterized in that: include: Operation analysis module: During the cutting cycle of carbon fiber products, real-time monitoring is performed to obtain the negative pressure data between the carbon fiber products and the profiling block on the CNC tooling, wherein the negative pressure data includes the vacuum degree, and the negative pressure data is compared and analyzed to obtain the operation signal, wherein the operation signal includes the cutting operation signal and the cutting analysis signal; Control analysis module: Based on the cutting analysis signal, the vacuum degree is subjected to difference processing and analysis to obtain the proximity ratio. If the proximity ratio is greater than or equal to the proximity ratio threshold, a control analysis signal is generated; Mutation analysis module: based on the control analysis signal, the vacuum mutation value is obtained. If the vacuum mutation value is greater than or equal to the vacuum mutation threshold, a vacuum mutation signal is generated. If the vacuum mutation value is less than the vacuum mutation threshold, a non-vacuum mutation signal is generated. The first processing module: based on the vacuum mutation signal, according to the vacuum mutation value, the abnormal prediction time is processed, and the remaining cutting time and the response time of the cutting system are compared in sequence, and a processing signal and an alarm signal are generated according to the comparison result, wherein the alarm signal includes a power-off protection signal, and the processing signal includes a cutting continuation signal and a cutting stop signal; Linear change analysis module: Based on the non-vacuum mutation signal, the vacuum change trend value is obtained, and the vacuum change trend value is used to determine whether the vacuum degree change is linear. If it is linear, a linear change signal is generated; The second processing module: Based on the linear change signal, the second abnormal prediction time is obtained, and compared with the remaining cutting time and the response time of the cutting system in turn, and a processing signal and an alarm signal are generated according to the comparison result, wherein the alarm signal includes a power-off protection signal, and the processing signal includes a cutting continuation signal and a cutting stop signal.

Images