A real-time data analysis and evaluation method for a pressing process monitoring system

Abstract

The present invention relates to the field of real-time data analysis of a pressing process monitoring system, and in particular to a real-time data analysis and evaluation method for a pressing process monitoring system, comprising: using the real-time data of the pressing process monitoring system to respectively obtain data characteristics of the pressing process monitoring system and process data characteristics of the pressing process; using the data characteristics of the pressing process monitoring system and the process data characteristics of the pressing process to perform cross-validation analysis and processing to obtain real-time data cross-validation analysis and processing results of the pressing process monitoring system; using the real-time data cross-validation analysis and processing results to obtain real-time data analysis and evaluation results, by collecting real-time data, establishing system characteristics and process characteristics of the pressing process monitoring system, and obtaining real-time monitoring results of the system and process, respectively, and at the same time, in order to evaluate the process data status at subsequent moments, using the data changes before and after moments as analysis features, further improving the accuracy and efficiency of data analysis.

Description

Technical Field

[0001] The invention relates to the field of real-time data analysis of a pressing process monitoring system, and in particular to a real-time data analysis and evaluation method for a pressing process monitoring system. Background Art

[0002] As one of the indispensable monitoring methods in the pressing process, the pressing process monitoring system actually collects various types of data at various time periods in the pressing process for analysis and processing to ensure the normal operation of the process. However, analysis based on real-time data can only obtain the current status of the process production line. For operation forms such as assembly lines, it is necessary to analyze and evaluate the implementation of subsequent process flows based on traditional real-time monitoring. Summary of the invention

[0003] In view of the shortcomings of the prior art, the present invention provides a real-time data analysis and evaluation method for a pressing process monitoring system, which improves the analysis accuracy of real-time data and the efficient evaluation of process data at future moments by establishing a comprehensive monitoring and analysis of multiple time and multiple data types.

[0004] To achieve the above object, the present invention provides a real-time data analysis and evaluation method for a pressing process monitoring system, comprising:

[0005] S1. Using the real-time data of the lamination process monitoring system, the data characteristics of the lamination process monitoring system and the process data characteristics of the lamination process are obtained respectively;

[0006] S2, using the data features of the lamination process monitoring system and the process data features of the lamination process to perform cross-validation analysis and processing to obtain real-time data cross-validation analysis and processing results of the lamination process monitoring system;

[0007] S3. Utilize the real-time data cross-validation analysis and processing results to obtain real-time data analysis and evaluation results.

[0008] Preferably, the use of the real-time data of the lamination process monitoring system to obtain the data characteristics of the lamination process monitoring system and the data characteristics of the lamination process process respectively comprises:

[0009] S1-1. Using the real-time data of the pressing process monitoring system to obtain real-time data capacity;

[0010] S1-2, acquiring corresponding data receiving ports and data sending ports according to the real-time data of the pressing process monitoring system;

[0011] S1-3, using the real-time data capacity, data receiving port and data sending port as data features of the pressing process monitoring system;

[0012] S1-4, acquiring the real-time temperature of the pressing process, the real-time pressure of the pressing process and the pressing target type according to the real-time data of the pressing process monitoring system;

[0013] S1-5. Using the real-time temperature of the pressing process, the real-time pressure of the pressing process and the pressing target type as process data features of the pressing process.

[0014] Furthermore, the real-time data cross-validation analysis and processing results of the lamination process monitoring system obtained by cross-validation analysis and processing using the data features of the lamination process monitoring system and the process data features of the lamination process include:

[0015] S2-1, using the data features of the pressing process monitoring system to establish a feature dynamic database of the data features of the pressing process monitoring system;

[0016] S2-2, using the pressing process process data characteristics to establish a characteristic sequence of pressing process monitoring system data characteristics;

[0017] S2-3, using the feature dynamic database of the pressing process monitoring system data features and the feature sequence of the pressing process monitoring system data features to perform cross-validation analysis and processing to obtain real-time data cross-validation analysis and processing results of the pressing process monitoring system.

[0018] Furthermore, using the data features of the lamination process monitoring system to establish a feature dynamic database of the data features of the lamination process monitoring system includes:

[0019] S2-1-1, obtaining the current time as the system standard time t;

[0020] S2-1-2, using the data characteristics of the pressing process monitoring system to establish a data virtual communication line with the corresponding data receiving port and the data sending port;

[0021] S2-1-3, determine whether the data virtual communication line at the system standard time t corresponds to the data virtual communication line at time t+1, if so, update the system standard time t and return to S2-1-1, otherwise, execute S2-1-4;

[0022] S2-1-4, determine whether the feature dynamic database of the data feature of the pressing process monitoring system has a data receiving port and a data sending port at the system standard time t, if so, directly execute S2-1-5, otherwise, use the data receiving port and the data sending port at the system standard time t to establish an interface feature dynamic database, and execute S2-1-5;

[0023] S2-1-5. Determine whether the data receiving port and data sending port at time t+1 exist in the feature dynamic database of the data feature of the pressing process monitoring system. If so, update the system standard time t and return to S2-1-1. Otherwise, use the data receiving port and data sending port at time t+1 to add the interface feature dynamic database.

[0024] S2-1-6, using the real-time data capacity of the pressing process monitoring system data characteristics corresponding to the pressing process monitoring system data characteristics to establish a capacity characteristic dynamic database according to the system standard time t;

[0025] S2-1-7. Utilize the interface feature dynamic database and the capacity feature dynamic database as feature dynamic databases of data features of the pressing process monitoring system.

[0026] Furthermore, the feature sequence of the data features of the lamination process monitoring system is established by using the process data features of the lamination process, including:

[0027] S2-2-1, obtaining the current time as the process standard time k;

[0028] S2-2-2, obtaining the data trend of the real-time temperature of the pressing process according to the process standard time k and time k+1 as the temperature data trend of the priority monitoring period;

[0029] S2-2-3, obtaining the data trend of the real-time pressure of the pressing process according to the process standard time k and time k+1 as the pressure data trend of the priority monitoring period;

[0030] S2-2-4, obtaining the data trend of the real-time temperature of the pressing process according to the time k+1 and the time k+2 as the temperature data trend of the subsequent monitoring period;

[0031] S2-2-5, obtaining the data trend of the real-time pressure during the pressing process according to the time k+1 and the time k+2 as the pressure data trend during the subsequent monitoring period;

[0032] S2-2-6, using the process standard time k, k+1 time and k+2 time to establish a characteristic time sequence;

[0033] S2-2-7, using the temperature data trend and pressure data trend of the priority monitoring period, the temperature data trend and pressure data trend of the subsequent monitoring period, and the characteristic time sequence as the characteristic sequence of the data characteristics of the pressing process monitoring system;

[0034] The process standard time k and the system standard time t are the same time, and the data trend is the data change situation of the data at adjacent moments.

[0035] Furthermore, the real-time data cross-validation analysis and processing results of the lamination process monitoring system are obtained by cross-validation analysis and processing using the feature dynamic database of the lamination process monitoring system data features and the feature sequence of the lamination process monitoring system data features, including:

[0036] S2-3-1, using the characteristic dynamic database of the pressing process monitoring system data characteristics and the characteristic sequence of the pressing process monitoring system data characteristics to perform cross-validation analysis and processing to obtain the priority time period cross-validation analysis and processing results;

[0037] S2-3-2, performing a secondary cross-validation analysis process based on the cross-validation analysis process result of the priority period to obtain a cross-validation analysis process result of the subsequent period;

[0038] S2-3-3. Utilize the cross-validation analysis and processing results of the priority period and the cross-validation analysis and processing results of the subsequent period as the real-time data cross-validation analysis and processing results of the pressing process monitoring system.

[0039] Furthermore, the cross-validation analysis and processing results of the priority time period obtained by cross-validation analysis and processing using the feature dynamic database of the data features of the lamination process monitoring system and the feature sequence of the data features of the lamination process monitoring system include:

[0040] S2-3-1-1, determine whether there is a correspondence between the characteristic dynamic database corresponding to the capacity characteristic dynamic database of the data characteristics of the pressing process monitoring system and the characteristic sequence corresponding to the temperature data trend of the priority monitoring period of the pressing process monitoring system data characteristics, if so, execute S2-3-1-2, otherwise, the cross-validation analysis processing result of the priority period is abnormal;

[0041] S2-3-1-2, determine whether there is a correspondence between the characteristic dynamic database of the data characteristics of the pressing process monitoring system corresponding to the interface characteristic dynamic database and the characteristic sequence of the data characteristics of the pressing process monitoring system corresponding to the pressure data trend of the priority monitoring period, if so, execute S2-3-1-3, otherwise, the cross-validation analysis processing result of the priority period is abnormal;

[0042] S2-3-1-3. Determine whether the temperature data trend and the pressure data trend of the priority monitoring period are the same. If so, the cross-validation analysis and processing result of the priority period is normal. Otherwise, the cross-validation analysis and processing result of the priority period is risky.

[0043] Further, performing a secondary cross-validation analysis process according to the cross-validation analysis process result of the priority period to obtain a cross-validation analysis process result of the subsequent period includes:

[0044] S2-3-2-1, determine whether the result of the cross-validation analysis and processing of the priority period is normal, if so, execute S2-3-2-2, otherwise, directly execute S2-3-2-3;

[0045] S2-3-2-2, determine whether the temperature data trend and the pressure data trend of the post-monitoring period are the same, if so, the cross-validation analysis result of the post-monitoring period is normal, otherwise, the cross-validation analysis result of the post-monitoring period is risky;

[0046] S2-3-2-3, determine whether the characteristic sequence of the data characteristics of the pressing process monitoring system corresponds to the characteristic time sequence, if so, execute S2-3-2-4, otherwise, return to S2-2-1;

[0047] S2-3-2-4, determine whether there is a correspondence between the characteristic dynamic database corresponding to the capacity characteristic dynamic database of the pressing process monitoring system data characteristics and the characteristic sequence corresponding to the temperature data trend of the post-monitoring period of the pressing process monitoring system data characteristics, if so, execute S2-3-2-5, otherwise, the post-period cross-validation analysis processing result is abnormal;

[0048] S2-3-2-5. Determine whether there is a correspondence between the characteristic dynamic database of the pressing process monitoring system data features corresponding to the interface characteristic dynamic database and the characteristic sequence of the pressing process monitoring system data features corresponding to the pressure data trend of the post-monitoring period. If so, the cross-validation analysis and processing result of the post-monitoring period is normal; otherwise, the cross-validation analysis and processing result of the post-monitoring period is abnormal.

[0049] Furthermore, the real-time data analysis and evaluation results obtained by using the real-time data cross-validation analysis and processing results include:

[0050] S3-1, judging whether the cross-validation analysis and processing results of the real-time data corresponding to the cross-validation analysis and processing results of the priority period and the cross-validation analysis and processing results of the subsequent period are both normal, if so, the real-time data analysis and evaluation results are normal, and the real-time data of the pressing process monitoring system is output, otherwise, executing S3-2;

[0051] S3-2, determining whether the cross-validation analysis processing result of the real-time data corresponding to the cross-validation analysis processing result of the priority period and the cross-validation analysis processing result of the subsequent period are both abnormal, if so, the real-time data analysis evaluation result is abnormal, otherwise, executing S3-3;

[0052] S3-3. When the cross-validation analysis and processing result of the real-time data corresponding to the cross-validation analysis and processing result of the priority time period is normal, determine whether the cross-validation analysis and processing result of the real-time data corresponding to the cross-validation analysis and processing result of the post-period is a risk; if so, the real-time data analysis and evaluation result is a risk, and the real-time data of the pressing process monitoring system corresponding to the cross-validation analysis and processing result of the post-period is output; otherwise, the real-time data analysis and evaluation result is abnormal, and the real-time data of the pressing process monitoring system corresponding to the cross-validation analysis and processing result of the post-period is output;

[0053] S3-4. When the cross-validation analysis and processing result of the real-time data corresponding to the cross-validation analysis and processing result of the priority time period is a risk, determine whether the cross-validation analysis and processing result of the real-time data corresponding to the cross-validation analysis and processing result of the subsequent time period is a risk. If so, the real-time data analysis and evaluation result is a risk, and the real-time data of the pressing process monitoring system is output; otherwise, the real-time data analysis and evaluation result is abnormal, and the real-time data of the pressing process monitoring system corresponding to the cross-validation analysis and processing result of the priority time period is output;

[0054] S3-5. When the cross-validation analysis and processing result of the real-time data corresponding to the cross-validation analysis and processing result of the priority time period is abnormal, determine whether the cross-validation analysis and processing result of the real-time data corresponding to the cross-validation analysis and processing result of the subsequent time period is a risk. If so, the real-time data analysis and evaluation result is abnormal, and the real-time data of the pressing process monitoring system corresponding to the cross-validation analysis and processing result of the priority time period is output. Otherwise, the real-time data analysis and evaluation result is abnormal, and the real-time data of the pressing process monitoring system corresponding to the cross-validation analysis and processing result of the subsequent time period is output.

[0055] Compared with the closest prior art, the present invention has the following beneficial effects:

[0056] By collecting real-time data, the system characteristics and process characteristics of the pressing process monitoring system were established, and the two characteristics were cross-compared to obtain the real-time monitoring results of the system and process respectively. At the same time, in order to evaluate the process data status at subsequent times and avoid the impact of accidental fluctuating data, the concept of data trend was proposed, and the data changes before and after were used as analysis features to further improve the accuracy and efficiency of data analysis. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] Figure 1 It is a flow chart of a real-time data analysis and evaluation method for a pressing process monitoring system provided by the present invention. DETAILED DESCRIPTION

[0058] The specific implementation modes of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0059] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0060] Embodiment 1: The present invention provides a real-time data analysis and evaluation method for a pressing process monitoring system, such as Figure 1 As shown, including:

[0061] S1. Using the real-time data of the lamination process monitoring system, the data characteristics of the lamination process monitoring system and the process data characteristics of the lamination process are obtained respectively;

[0062] S2, using the data features of the lamination process monitoring system and the process data features of the lamination process to perform cross-validation analysis and processing to obtain real-time data cross-validation analysis and processing results of the lamination process monitoring system;

[0063] S3. Utilize the real-time data cross-validation analysis and processing results to obtain real-time data analysis and evaluation results.

[0064] S1 specifically includes:

[0065] S1-1. Using the real-time data of the pressing process monitoring system to obtain real-time data capacity;

[0066] S1-2, acquiring corresponding data receiving ports and data sending ports according to the real-time data of the pressing process monitoring system;

[0067] S1-3, using the real-time data capacity, data receiving port and data sending port as data features of the pressing process monitoring system;

[0068] S1-4, acquiring the real-time temperature of the pressing process, the real-time pressure of the pressing process and the pressing target type according to the real-time data of the pressing process monitoring system;

[0069] S1-5. Using the real-time temperature of the pressing process, the real-time pressure of the pressing process and the pressing target type as process data features of the pressing process.

[0070] S2 specifically includes:

[0071] S2-1, using the data features of the pressing process monitoring system to establish a feature dynamic database of the data features of the pressing process monitoring system;

[0072] S2-2, using the pressing process process data characteristics to establish a characteristic sequence of pressing process monitoring system data characteristics;

[0073] S2-3, using the feature dynamic database of the pressing process monitoring system data features and the feature sequence of the pressing process monitoring system data features to perform cross-validation analysis and processing to obtain real-time data cross-validation analysis and processing results of the pressing process monitoring system.

[0074] S2-1 specifically includes:

[0075] S2-1-1, obtaining the current time as the system standard time t;

[0076] S2-1-2, using the data characteristics of the pressing process monitoring system to establish a data virtual communication line with the corresponding data receiving port and the data sending port;

[0077] S2-1-3, determine whether the data virtual communication line at the system standard time t corresponds to the data virtual communication line at time t+1, if so, update the system standard time t and return to S2-1-1, otherwise, execute S2-1-4;

[0078] S2-1-4, determine whether the feature dynamic database of the data feature of the pressing process monitoring system has a data receiving port and a data sending port at the system standard time t, if so, directly execute S2-1-5, otherwise, use the data receiving port and the data sending port at the system standard time t to establish an interface feature dynamic database, and execute S2-1-5;

[0079] S2-1-5. Determine whether the data receiving port and data sending port at time t+1 exist in the feature dynamic database of the data feature of the pressing process monitoring system. If so, update the system standard time t and return to S2-1-1. Otherwise, use the data receiving port and data sending port at time t+1 to add the interface feature dynamic database.

[0080] S2-1-6, using the real-time data capacity of the pressing process monitoring system data characteristics corresponding to the pressing process monitoring system data characteristics to establish a capacity characteristic dynamic database according to the system standard time t;

[0081] S2-1-7. Utilize the interface feature dynamic database and the capacity feature dynamic database as feature dynamic databases of data features of the pressing process monitoring system.

[0082] S2-2 specifically includes:

[0083] S2-2-1, obtaining the current time as the process standard time k;

[0084] S2-2-2, obtaining the data trend of the real-time temperature of the pressing process according to the process standard time k and time k+1 as the temperature data trend of the priority monitoring period;

[0085] S2-2-3, obtaining the data trend of the real-time pressure of the pressing process according to the process standard time k and time k+1 as the pressure data trend of the priority monitoring period;

[0086] S2-2-4, obtaining the data trend of the real-time temperature of the pressing process according to the time k+1 and the time k+2 as the temperature data trend of the subsequent monitoring period;

[0087] S2-2-5, obtaining the data trend of the real-time pressure during the pressing process according to the time k+1 and the time k+2 as the pressure data trend during the subsequent monitoring period;

[0088] S2-2-6, using the process standard time k, k+1 time and k+2 time to establish a characteristic time sequence;

[0089] S2-2-7, using the temperature data trend and pressure data trend of the priority monitoring period, the temperature data trend and pressure data trend of the subsequent monitoring period, and the characteristic time sequence as the characteristic sequence of the data characteristics of the pressing process monitoring system;

[0090] The process standard time k and the system standard time t are the same time, and the data trend is the data change situation of the data at adjacent moments.

[0091] S2-3 specifically includes:

[0092] S2-3-1, using the characteristic dynamic database of the pressing process monitoring system data characteristics and the characteristic sequence of the pressing process monitoring system data characteristics to perform cross-validation analysis and processing to obtain the priority time period cross-validation analysis and processing results;

[0093] S2-3-2, performing a secondary cross-validation analysis process based on the cross-validation analysis process result of the priority period to obtain a cross-validation analysis process result of the subsequent period;

[0094] S2-3-3. Utilize the cross-validation analysis and processing results of the priority period and the cross-validation analysis and processing results of the subsequent period as the real-time data cross-validation analysis and processing results of the pressing process monitoring system.

[0095] S2-3-1 specifically includes:

[0096] S2-3-1-1, determine whether there is a correspondence between the characteristic dynamic database corresponding to the capacity characteristic dynamic database of the data characteristics of the pressing process monitoring system and the characteristic sequence corresponding to the temperature data trend of the priority monitoring period of the pressing process monitoring system data characteristics, if so, execute S2-3-1-2, otherwise, the cross-validation analysis processing result of the priority period is abnormal;

[0097] S2-3-1-2, determine whether there is a correspondence between the characteristic dynamic database of the data characteristics of the pressing process monitoring system corresponding to the interface characteristic dynamic database and the characteristic sequence of the data characteristics of the pressing process monitoring system corresponding to the pressure data trend of the priority monitoring period, if so, execute S2-3-1-3, otherwise, the cross-validation analysis processing result of the priority period is abnormal;

[0098] S2-3-1-3. Determine whether the temperature data trend and the pressure data trend of the priority monitoring period are the same. If so, the cross-validation analysis and processing result of the priority period is normal. Otherwise, the cross-validation analysis and processing result of the priority period is risky.

[0099] S2-3-2 specifically includes:

[0100] S2-3-2-1, determine whether the result of the cross-validation analysis and processing of the priority period is normal, if so, execute S2-3-2-2, otherwise, directly execute S2-3-2-3;

[0101] S2-3-2-2, determine whether the temperature data trend and the pressure data trend of the post-monitoring period are the same, if so, the cross-validation analysis result of the post-monitoring period is normal, otherwise, the cross-validation analysis result of the post-monitoring period is risky;

[0102] S2-3-2-3, determine whether the characteristic sequence of the data characteristics of the pressing process monitoring system corresponds to the characteristic time sequence, if so, execute S2-3-2-4, otherwise, return to S2-2-1;

[0103] S2-3-2-4, determine whether there is a correspondence between the characteristic dynamic database corresponding to the capacity characteristic dynamic database of the pressing process monitoring system data characteristics and the characteristic sequence corresponding to the temperature data trend of the post-monitoring period of the pressing process monitoring system data characteristics, if so, execute S2-3-2-5, otherwise, the post-period cross-validation analysis processing result is abnormal;

[0104] S2-3-2-5. Determine whether there is a correspondence between the characteristic dynamic database of the pressing process monitoring system data features corresponding to the interface characteristic dynamic database and the characteristic sequence of the pressing process monitoring system data features corresponding to the pressure data trend of the post-monitoring period. If so, the cross-validation analysis and processing result of the post-monitoring period is normal; otherwise, the cross-validation analysis and processing result of the post-monitoring period is abnormal.

[0105] S3 specifically includes:

[0106] S3-1, judging whether the cross-validation analysis and processing results of the real-time data corresponding to the cross-validation analysis and processing results of the priority period and the cross-validation analysis and processing results of the subsequent period are both normal, if so, the real-time data analysis and evaluation results are normal, and the real-time data of the pressing process monitoring system is output, otherwise, executing S3-2;

[0107] S3-2, determining whether the cross-validation analysis processing result of the real-time data corresponding to the cross-validation analysis processing result of the priority period and the cross-validation analysis processing result of the subsequent period are both abnormal, if so, the real-time data analysis evaluation result is abnormal, otherwise, executing S3-3;

[0108] S3-3. When the cross-validation analysis and processing result of the real-time data corresponding to the cross-validation analysis and processing result of the priority time period is normal, determine whether the cross-validation analysis and processing result of the real-time data corresponding to the cross-validation analysis and processing result of the post-period is a risk; if so, the real-time data analysis and evaluation result is a risk, and the real-time data of the pressing process monitoring system corresponding to the cross-validation analysis and processing result of the post-period is output; otherwise, the real-time data analysis and evaluation result is abnormal, and the real-time data of the pressing process monitoring system corresponding to the cross-validation analysis and processing result of the post-period is output;

[0109] S3-4. When the cross-validation analysis and processing result of the real-time data corresponding to the cross-validation analysis and processing result of the priority time period is a risk, determine whether the cross-validation analysis and processing result of the real-time data corresponding to the cross-validation analysis and processing result of the subsequent time period is a risk. If so, the real-time data analysis and evaluation result is a risk, and the real-time data of the pressing process monitoring system is output; otherwise, the real-time data analysis and evaluation result is abnormal, and the real-time data of the pressing process monitoring system corresponding to the cross-validation analysis and processing result of the priority time period is output;

[0110] S3-5. When the cross-validation analysis and processing result of the real-time data corresponding to the cross-validation analysis and processing result of the priority time period is abnormal, determine whether the cross-validation analysis and processing result of the real-time data corresponding to the cross-validation analysis and processing result of the subsequent time period is a risk. If so, the real-time data analysis and evaluation result is abnormal, and the real-time data of the pressing process monitoring system corresponding to the cross-validation analysis and processing result of the priority time period is output. Otherwise, the real-time data analysis and evaluation result is abnormal, and the real-time data of the pressing process monitoring system corresponding to the cross-validation analysis and processing result of the subsequent time period is output.

[0111] In the present embodiment, a real-time data analysis and evaluation method for a pressing process monitoring system is provided. During the cross-comparison verification process, the data inflow and outflow records of the system interface are compared with the relevant temperature and pressure to obtain the accuracy of its data history. At the same time, the data capacity is compared with the relevant temperature and pressure again to further verify whether there are anomalies in the data collection process, or the data source is under an abnormal state.

[0112] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0113] The present invention is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of the processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0114] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0115] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0116] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A real-time data analysis and evaluation method for a pressing process monitoring system, characterized in that: include: S1. Using the real-time data of the lamination process monitoring system, the data characteristics of the lamination process monitoring system and the process data characteristics of the lamination process are obtained respectively; S2, using the data features of the lamination process monitoring system and the process data features of the lamination process to perform cross-validation analysis and processing to obtain real-time data cross-validation analysis and processing results of the lamination process monitoring system; S2-3-1. Use the dynamic database of the data features of the pressing process monitoring system and the feature sequence of the data features of the pressing process monitoring system to perform cross-validation analysis and processing to obtain the cross-validation analysis and processing results for the priority period; S2-3-2, performing a secondary cross-validation analysis based on the cross-validation analysis results of the priority period to obtain a cross-validation analysis result of the subsequent period; S2-3-3, using the cross-validation analysis and processing results of the priority period and the cross-validation analysis and processing results of the subsequent period as the real-time data cross-validation analysis and processing results of the pressing process monitoring system; S3. Utilize the real-time data cross-validation analysis and processing results to obtain real-time data analysis and evaluation results.

2. A real-time data analysis and evaluation method for a pressing process monitoring system according to claim 1, characterized in that: The data characteristics of the lamination process monitoring system and the data characteristics of the lamination process process are obtained by using the real-time data of the lamination process monitoring system, respectively, including: S1-1. Using the real-time data of the pressing process monitoring system to obtain real-time data capacity; S1-2, acquiring corresponding data receiving ports and data sending ports according to the real-time data of the pressing process monitoring system; S1-3, using the real-time data capacity, data receiving port and data sending port as data features of the pressing process monitoring system; S1-4, acquiring the real-time temperature of the pressing process, the real-time pressure of the pressing process and the pressing target type according to the real-time data of the pressing process monitoring system; S1-5. Using the real-time temperature of the pressing process, the real-time pressure of the pressing process and the pressing target type as process data features of the pressing process.

3. A real-time data analysis and evaluation method for a pressing process monitoring system as claimed in claim 2, characterized in that: The real-time data cross-validation analysis and processing results of the lamination process monitoring system obtained by cross-validation analysis and processing using the data features of the lamination process monitoring system and the process data features of the lamination process include: S2-1, using the data features of the pressing process monitoring system to establish a feature dynamic database of the data features of the pressing process monitoring system; S2-2, using the pressing process process data characteristics to establish a characteristic sequence of pressing process monitoring system data characteristics; S2-3, using the feature dynamic database of the pressing process monitoring system data features and the feature sequence of the pressing process monitoring system data features to perform cross-validation analysis and processing to obtain real-time data cross-validation analysis and processing results of the pressing process monitoring system.

4. A real-time data analysis and evaluation method for a pressing process monitoring system as claimed in claim 3, characterized in that: Using the data features of the pressing process monitoring system to establish a feature dynamic database of the data features of the pressing process monitoring system includes: S2-1-1, obtaining the current time as the system standard time t; S2-1-2, using the data characteristics of the pressing process monitoring system to establish a data virtual communication line with the corresponding data receiving port and the data sending port; S2-1-3, determine whether the data virtual communication line at the system standard time t corresponds to the data virtual communication line at time t+1, if so, update the system standard time t and return to S2-1-1, otherwise, execute S2-1-4; S2-1-4, determine whether the feature dynamic database of the data feature of the pressing process monitoring system has a data receiving port and a data sending port at the system standard time t, if so, directly execute S2-1-5, otherwise, use the data receiving port and the data sending port at the system standard time t to establish an interface feature dynamic database, and execute S2-1-5; S2-1-5. Determine whether the data receiving port and data sending port at time t+1 exist in the feature dynamic database of the data feature of the pressing process monitoring system. If so, update the system standard time t and return to S2-1-1. Otherwise, use the data receiving port and data sending port at time t+1 to add the interface feature dynamic database. S2-1-6, using the real-time data capacity of the pressing process monitoring system data characteristics corresponding to the pressing process monitoring system data characteristics to establish a capacity characteristic dynamic database according to the system standard time t; S2-1-7. Utilize the interface feature dynamic database and the capacity feature dynamic database as feature dynamic databases of data features of the pressing process monitoring system.

5. A real-time data analysis and evaluation method for a pressing process monitoring system as claimed in claim 4, characterized in that: The feature sequence of establishing the data features of the pressing process monitoring system using the process data features of the pressing process includes: S2-2-1, obtaining the current time as the process standard time k; S2-2-2, obtaining the data trend of the real-time temperature of the pressing process according to the process standard time k and time k+1 as the temperature data trend of the priority monitoring period; S2-2-3, obtaining the data trend of the real-time pressure of the pressing process according to the process standard time k and time k+1 as the pressure data trend of the priority monitoring period; S2-2-4, obtaining the data trend of the real-time temperature of the pressing process according to the time k+1 and the time k+2 as the temperature data trend of the subsequent monitoring period; S2-2-5, obtaining the data trend of the real-time pressure during the pressing process according to the time k+1 and the time k+2 as the pressure data trend during the subsequent monitoring period; S2-2-6, using the process standard time k, k+1 time and k+2 time to establish a characteristic time sequence; S2-2-7, using the temperature data trend and pressure data trend of the priority monitoring period, the temperature data trend and pressure data trend of the subsequent monitoring period, and the characteristic time sequence as the characteristic sequence of the data characteristics of the pressing process monitoring system; The process standard time k and the system standard time t are the same time, and the data trend is the data change situation of the data at adjacent moments.

6. A real-time data analysis and evaluation method for a pressing process monitoring system as claimed in claim 5, characterized in that: The cross-validation analysis and processing results of the priority time period obtained by cross-validation analysis and processing using the feature dynamic database of the data features of the pressing process monitoring system and the feature sequence of the data features of the pressing process monitoring system include: S2-3-1-1, determine whether there is a correspondence between the characteristic dynamic database corresponding to the capacity characteristic dynamic database of the data characteristics of the pressing process monitoring system and the characteristic sequence corresponding to the temperature data trend of the priority monitoring period of the pressing process monitoring system data characteristics, if so, execute S2-3-1-2, otherwise, the cross-validation analysis processing result of the priority period is abnormal; S2-3-1-2, determine whether there is a correspondence between the characteristic dynamic database of the data characteristics of the pressing process monitoring system corresponding to the interface characteristic dynamic database and the characteristic sequence of the data characteristics of the pressing process monitoring system corresponding to the pressure data trend of the priority monitoring period, if so, execute S2-3-1-3, otherwise, the cross-validation analysis processing result of the priority period is abnormal; S2-3-1-3. Determine whether the temperature data trend and the pressure data trend of the priority monitoring period are the same. If so, the cross-validation analysis and processing result of the priority period is normal. Otherwise, the cross-validation analysis and processing result of the priority period is risky.

7. A real-time data analysis and evaluation method for a pressing process monitoring system according to claim 6, characterized in that: The cross-validation analysis and processing results of the priority time period are subjected to a secondary cross-validation analysis and processing to obtain the cross-validation analysis and processing results of the subsequent time period, including: S2-3-2-1, determine whether the priority period cross-validation analysis processing result is normal, if so, execute S2-3-2-2, otherwise, directly execute S2-3-2-3; S2-3-2-2, determine whether the temperature data trend and the pressure data trend of the post-monitoring period are the same, if so, the cross-validation analysis result of the post-monitoring period is normal, otherwise, the cross-validation analysis result of the post-monitoring period is risky; S2-3-2-3, determine whether the characteristic sequence of the data characteristics of the pressing process monitoring system corresponds to the characteristic time sequence, if so, execute S2-3-2-4, otherwise, return to S2-2-1; S2-3-2-4, determine whether there is a correspondence between the characteristic dynamic database corresponding to the capacity characteristic dynamic database of the pressing process monitoring system data characteristics and the characteristic sequence corresponding to the temperature data trend of the post-monitoring period of the pressing process monitoring system data characteristics, if so, execute S2-3-2-5, otherwise, the post-period cross-validation analysis processing result is abnormal; S2-3-2-5. Determine whether there is a correspondence between the characteristic dynamic database of the pressing process monitoring system data features corresponding to the interface characteristic dynamic database and the characteristic sequence of the pressing process monitoring system data features corresponding to the pressure data trend of the post-monitoring period. If so, the cross-validation analysis and processing result of the post-monitoring period is normal; otherwise, the cross-validation analysis and processing result of the post-monitoring period is abnormal.

8. A real-time data analysis and evaluation method for a pressing process monitoring system as claimed in claim 3, characterized in that: The real-time data analysis and evaluation results obtained by using the real-time data cross-validation analysis and processing results include: S3-1, judging whether the cross-validation analysis and processing results of the real-time data corresponding to the cross-validation analysis and processing results of the priority period and the cross-validation analysis and processing results of the subsequent period are both normal, if so, the real-time data analysis and evaluation results are normal, and the real-time data of the pressing process monitoring system is output, otherwise, executing S3-2; S3-2, determining whether the cross-validation analysis processing result of the real-time data corresponding to the cross-validation analysis processing result of the priority period and the cross-validation analysis processing result of the subsequent period are both abnormal, if so, the real-time data analysis evaluation result is abnormal, otherwise, executing S3-3; S3-3. When the cross-validation analysis and processing result of the real-time data corresponding to the cross-validation analysis and processing result of the priority time period is normal, determine whether the cross-validation analysis and processing result of the real-time data corresponding to the cross-validation analysis and processing result of the post-period is a risk; if so, the real-time data analysis and evaluation result is a risk, and the real-time data of the pressing process monitoring system corresponding to the cross-validation analysis and processing result of the post-period is output; otherwise, the real-time data analysis and evaluation result is abnormal, and the real-time data of the pressing process monitoring system corresponding to the cross-validation analysis and processing result of the post-period is output; S3-4. When the cross-validation analysis and processing result of the real-time data corresponding to the cross-validation analysis and processing result of the priority time period is a risk, determine whether the cross-validation analysis and processing result of the real-time data corresponding to the cross-validation analysis and processing result of the subsequent time period is a risk. If so, the real-time data analysis and evaluation result is a risk, and the real-time data of the pressing process monitoring system is output; otherwise, the real-time data analysis and evaluation result is abnormal, and the real-time data of the pressing process monitoring system corresponding to the cross-validation analysis and processing result of the priority time period is output; S3-5. When the cross-validation analysis and processing result of the real-time data corresponding to the cross-validation analysis and processing result of the priority time period is abnormal, determine whether the cross-validation analysis and processing result of the real-time data corresponding to the cross-validation analysis and processing result of the subsequent time period is a risk. If so, the real-time data analysis and evaluation result is abnormal, and the real-time data of the pressing process monitoring system corresponding to the cross-validation analysis and processing result of the priority time period is output. Otherwise, the real-time data analysis and evaluation result is abnormal, and the real-time data of the pressing process monitoring system corresponding to the cross-validation analysis and processing result of the subsequent time period is output.

Images