CN116304580A - Data detection method, electronic device and computer readable storage medium - Google Patents
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Abstract
The invention discloses a data detection method, electronic equipment and a computer readable storage medium, and relates to the technical field of data signal processing and feature extraction, wherein the method comprises the following steps: extracting a characteristic data interval in the preprocessing data interval to generate a first characteristic data interval; processing the first characteristic data interval according to a preset data transformation rule to generate a second characteristic data interval for reducing high-frequency noise signal data interference; intercepting the second characteristic data interval according to a preset data interception rule, and sequentially processing the intercepted second characteristic data interval to generate a third characteristic data interval; and detecting the third characteristic data interval based on a preset envelope curve, and generating a data detection result. The method and the device can detect data, and timely alarm the data under abnormal conditions to remind engineers of emergency treatment.
Description
Technical Field
The present disclosure relates to the field of data signal processing and feature extraction technologies, and in particular, to a data detection method, an electronic device, and a computer readable storage medium.
Background
At present, in the online production process of the mould of intelligent mill, the internal pressure data condition of the mould in the production process needs to be detected, whether the normal production requirement can be met is judged according to whether the internal pressure of the mould is normal, and meanwhile, the product produced by the mould is ensured to meet the production standard. However, in the production process of the existing equipment, the traditional data processing mode cannot detect the condition of pressure data in the die in real time in the online production process of the die, and the produced product does not meet the standard, influences the productivity of factories and the like.
Disclosure of Invention
The invention aims to overcome the defects of the prior art, and provides a data detection method, electronic equipment and a computer readable storage medium, which can detect the condition of pressure data in a die in the online production process of the die, and solve the problems that the productivity of enterprises is influenced due to the fact that prompt cannot be sent in time when the data is abnormal.
In order to solve the technical problems, the invention provides a data detection method, which comprises the following steps:
extracting a characteristic data interval in the preprocessing data interval to generate a first characteristic data interval; processing the first characteristic data interval according to a preset data transformation rule to generate a second characteristic data interval for reducing high-frequency noise signal data interference; intercepting the second characteristic data interval according to a preset data interception rule, and sequentially processing the intercepted second characteristic data interval to generate a third characteristic data interval; and detecting the third characteristic data interval based on a preset envelope curve, and generating a data detection result.
Only the characteristic data interval in the pretreatment data interval is processed, so that the accuracy of the subsequent data processing is ensured; processing the first characteristic data interval by using a preset data transformation rule so as to reduce the influence of high-frequency noise signal data on the first characteristic data interval; meanwhile, intercepting a second characteristic data interval by using a preset data intercepting rule so as to improve the efficiency of data processing; the data is detected using a preset envelope curve. The whole data detection process has high data processing efficiency and high result accuracy.
In some embodiments, the processing the first characteristic data interval according to a preset data transformation rule to generate a second characteristic data interval for reducing high-frequency noise signal data interference includes: performing line frequency domain transformation on the first characteristic data interval by using a Fourier transformation rule to generate a line frequency domain transformation characteristic interval; and performing time domain transformation on the line frequency domain transformation characteristic interval by using an inverse transformation rule to generate the second characteristic data interval.
In some embodiments, the fourier transform rule comprises:
In some embodiments, the intercepting the second characteristic data interval according to a preset data interception rule includes: and windowing the second characteristic data interval, wherein the windowing mode is as follows:
In some embodiments, the data detection results include data detection pass results and data detection fail results; the preset envelope curve comprises an upper envelope curve and a lower envelope curve; the detecting the third characteristic data interval based on the preset envelope curve, generating a data detection result, includes: detecting the third characteristic data interval by using the upper envelope curve and the lower envelope curve; if the third characteristic data interval is detected to be between the upper envelope curve and the lower envelope curve, generating a data detection qualified result; and if the third characteristic data interval is detected not to be between the upper envelope curve and the lower envelope curve, generating the data detection failure result.
In some embodiments, before the extracting the characteristic data interval within the preprocessed data interval, further comprising: collecting original data of a plurality of production beats; and cleaning the original data by using a low-pass filtering processing mode to generate the preprocessing data interval.
The utility model provides a mould data detecting system, a serial communication port, including last mould, bed die, collection system and controlling means, wherein, go up the mould with the bed die sets up relatively, collection system is located go up the mould middle part, collection system is used for gathering original data, wherein, original data obtain the preliminary treatment data interval after predetermineeing the washing of data mode, the control unit communication connection go up the mould the bed die with collection system, the control unit is used for carrying out foretell data detection method.
In some embodiments, the collection device comprises a collection carrier plate and a plurality of collection pieces, wherein the collection pieces are respectively positioned on one side of the collection carrier plate.
An embodiment of the present application further provides an electronic device, where the electronic device includes a processor and a memory, where the memory is configured to store instructions, and the processor is configured to invoke the instructions in the memory, so that the electronic device executes the data detection method described above.
An embodiment of the present application further provides a computer readable storage medium storing computer instructions that, when executed on an electronic device, cause the electronic device to perform the data detection method described above.
Compared with the prior art, the data detection method, the electronic device and the computer readable storage medium have the advantages that firstly, the obtained original data are cleaned to obtain the preprocessed data section, the characteristic data section in the preprocessed data section is extracted to obtain the first characteristic data section, and the influence of useless signal data and the like on the whole characteristic data section is reduced. Then, the first characteristic data section is processed using a fourier transform rule and an inverse transform rule, thereby obtaining a second characteristic data section in which high-frequency noise signal data interference is reduced, to increase the accuracy of the data processing result. And then, windowing the second characteristic data interval to obtain a third characteristic data interval so as to improve the efficiency of data processing. And finally, detecting a third characteristic data interval based on a preset loading envelope interval to obtain a data detection result. When the data is not in the envelope interval, sending out data abnormal alarm information, and processing the data in time by engineers, so that production faults are eliminated, and the quality and the productivity of the die production products are improved.
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In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings which are required in the description of the embodiments or the prior art will be briefly described, it being obvious that the drawings in the description below are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart illustrating steps of a data detection method according to an embodiment of the present application.
Fig. 2 is a schematic diagram of collected raw data according to an embodiment of the present application.
Fig. 3 is a schematic diagram of a third characteristic data interval according to an embodiment of the present application.
Fig. 4 is a simplified schematic structural diagram of a mold data detection system according to an embodiment of the present application.
Fig. 5 is a schematic structural diagram of a data detection device according to an embodiment of the present application.
Fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The data detection method can be applied to one or more electronic devices. The electronic device is a device capable of automatically performing numerical calculation and/or information processing according to a preset or stored instruction, and may be, for example, a server cluster, or the like.
FIG. 1 is a flow chart illustrating steps of an embodiment of a data detection method according to the present application.
Referring to fig. 1, a data detection method may include the steps of:
s100, extracting a characteristic data interval in the preprocessing data interval, and generating a first characteristic data interval.
In some embodiments, raw data for a number of tacts is collected. For example, a plurality of sensors may be provided by an engineer within the mold to be collected as desired, and the type of sensor may include a pressure sensor. For example, sensors may be disposed around and in the middle of the mold to be collected, respectively, so that the pressure around the mold is obtained according to the sensors disposed at the positions around the mold to be collected, and the pressure data at the middle position of the mold is obtained according to the sensors disposed at the middle position of the mold to be collected. Then, pressure data at different positions in the mold are acquired according to a plurality of sensors arranged in the mold. In the process of pressure data acquisition, data acquired by a pressure sensor are acquired through devices such as an acquisition device or an industrial personal computer according to the production beats of equipment, and data with more than 100 production beats are collected as raw data. The production takt is also called a customer demand period and a production distance time, and refers to the ratio of total effective production time to the number of customer demands in a certain time length, and is the market necessary time for a customer to demand a product. The present application does not limit the positions where the pressure sensors are set, the number of pressure sensors, and the number of tacts. The pressure data processing device has the advantages that the plurality of sensors can be arranged at different positions in the die according to actual requirements, so that pressure data of the different positions of the die can be obtained, the reliability of the data can be guaranteed when the pressure data are analyzed later, meanwhile, 200 or 300 production beats of data can be obtained as original data, and the data can be better in data processing efficiency in the subsequent data processing process.
In some embodiments, the raw data obtained is in fig. 2. And cleaning the original data to generate a preprocessing data interval. Since some of the original data is noise signal data and useless signal data, it is necessary to clean the data. For example, the collected raw data may be cleaned using a low pass filtering process to generate a pre-processed data interval. Low-pass filtering (Low-pass filter) is a filtering method, and the rule is that Low-frequency signals can normally pass through, and high-frequency noise signals exceeding a set critical value are blocked and weakened. But the magnitude of the blocking and attenuation will vary depending on the frequency and the filtering procedure. I.e. low pass filtering, can be simply considered as: a frequency point is set, which cannot pass when the signal frequency is higher than the frequency, in the digital signal, the frequency point is the cut-off frequency, and when the frequency domain is higher than the cut-off frequency, all values are set to 0.
In some embodiments, for the pre-processed data interval, since different time points correspond to different pressure data, the pre-processed data interval within a certain acquired time period is extracted using a preset feature interval requirement. The preset characteristic interval requirement may be pressure data within 3000 time points, and there is no data of significant abrupt change in the pressure data within 3000 time points. The application does not limit the requirement of the preset characteristic interval, for example, the pressure data in 2000 or 4000 time points can be extracted, and the requirement of the preset characteristic interval can be set according to actual production requirements.
And S200, processing the first characteristic data interval according to a preset data transformation rule, and generating a second characteristic data interval for reducing high-frequency noise signal data interference.
In some embodiments, the first characteristic data interval is line-frequency transformed using a fourier transform rule, generating a line-frequency transformed characteristic interval. The fourier transform rule includes:
In some embodiments, the line frequency domain transformed feature interval is time domain transformed using an inverse transformation rule to generate the second feature interval data. The inverse transformation rule includes:
S300, intercepting the second characteristic data interval according to a preset data interception rule, and sequentially processing the intercepted second characteristic data interval to generate a third characteristic data interval.
In some embodiments, the windowing process is performed on the second characteristic data interval, and the data interval of the first characteristic data interval after the step S200 and the processing of this step is shown in fig. 3. The windowing process comprises the following steps:
In some embodiments, the data intervals in different time periods can be intercepted for processing according to the actual data processing requirements. For example, data in a time period of [2000-4000] can be intercepted first, then the data in the time period of [2000-4000] is subjected to optimization processing, then the data in the time period of [3000-5000] is intercepted, and then the data in the time period of [3000-5000] is subjected to optimization processing, so that the data at each time point can be processed, and the preset data interception rule is not limited.
And S400, detecting a third characteristic data interval based on a preset envelope curve, and generating a data detection result.
In some embodiments, the data detection results include data detection pass results and data detection fail results. The preset envelope curve includes an upper envelope curve and a lower envelope curve. And detecting third characteristic interval data by using the upper envelope curve and the lower envelope curve. If the third characteristic interval data is detected to be between the upper envelope curve and the lower envelope curve, a data detection qualified result is generated. If the third characteristic interval data is detected not to be between the upper envelope curve and the lower envelope curve, a data detection failure result is generated, and meanwhile, data abnormal information is displayed to remind an engineer of carrying out emergency treatment on the abnormal die.
The die pressure data is obtained as raw data by a plurality of sensors provided in the die, and the raw data can be referred to as fig. 2. The obtained original data is cleaned by adopting a low-pass filtering processing mode, and other cleaning processing modes can be adopted. The raw data after the cleaning process is recorded as a pre-processing data section, and in order to accurately judge the section of the data abnormality, the characteristic data section of the pre-processing data section needs to be extracted, so as to obtain a first characteristic data section. The first characteristic data section is processed using a preset transformation rule, for example, the first characteristic section is subjected to line frequency domain transformation and time domain transformation using a fourier transformation rule and an inverse transformation rule to obtain a second characteristic data section, and other preset transformation rules may be used to process the first characteristic section. The second characteristic data interval is then windowed, and the processed data result can be shown in fig. 3, and the third characteristic data interval is shown in fig. 3. Thus, a proper envelope curve is loaded on the third characteristic data interval to detect whether the data is abnormal or not, so that the process of data detection is completed.
In the data detection method of the embodiment, firstly, the obtained original data is cleaned to obtain a preprocessed data section, and a characteristic data section in the preprocessed data section is extracted to obtain a first characteristic data section. Then, the first characteristic data section is processed using a fourier transform rule and an inverse transform rule, thereby obtaining a second characteristic data section in which high-frequency noise signal data interference is reduced, to increase the accuracy of the data processing result. And then, windowing the second characteristic data interval to obtain a third characteristic data interval so as to improve the efficiency of data processing. And finally, detecting a third characteristic data interval based on a preset loading envelope interval to obtain a data detection result. When the data is not in the envelope interval, sending out data abnormal alarm information, and processing the data in time by engineers, so that production faults are eliminated, and the quality and the productivity of the die production products are improved.
In some embodiments, the present application also discloses a mold data inspection system 10, as shown in fig. 4. The mold data detection system 10 comprises an upper mold 11, a lower mold 12, a collecting device 13 and a control device (not shown), wherein the upper mold 11 and the lower mold 12 are oppositely arranged, the collecting device 13 is positioned in the middle of the upper mold 11, the collecting device 13 is used for collecting original data, the original data is cleaned in a preset cleaning data mode to obtain a preprocessed data interval, and the control unit is in communication connection with the upper mold 11, the lower mold 12 and the collecting device 13 and is used for executing the data detection method.
Specifically, the collecting device 13 includes a collecting carrier plate 131 and a plurality of collecting members 132, and the collecting members 132 are respectively located at one side of the collecting carrier plate 131. For example, the collecting member is located at a side close to the lower die 12 for collecting data on the product in time when the product is processed in the die. In this embodiment, the collecting member may be a sensor, for example, a pressure sensor, and 8 pressure sensors are disposed on a side of the collecting carrier plate 131 near the lower mold 13, where the 8 pressure sensors are used for obtaining pressure conditions at different positions in the product processing process. The pressure sensor is used to obtain pressure data information received by the product during processing in the die, and in other embodiments, the pressure sensor can also be other types of sensors besides the pressure sensor, and the pressure sensor can be set according to actual detection requirements.
In this embodiment, the raw data is recorded as the pressure received during the processing of the product obtained by the pressure sensor. And cleaning the original data by a preset cleaning data mode to obtain a pretreatment data interval. In the process of processing a product by using the die, the acquired original data comprises a plurality of abnormal data, repeated data or error data, the original data acquired by using a preset cleaning data mode is required to be cleaned, and the abnormal data, the repeated data or the error data are removed, so that the accuracy of data analysis can be ensured in the subsequent data analysis process. For example, the raw data may be cleaned by low pass filtering to obtain the preprocessed data interval. In this embodiment, the normal pressure data range of the product in the processing process may be between 0.3V and 1.8V, and if the obtained pressure data of the product is not between 0.3V and 1.8V, it indicates that the data may be abnormal data or error data, and the data needs to be cleared, so as not to affect the accuracy of the subsequent data detection result. In other embodiments, the normal pressure data range may be between 0.5V and 2V, and may be set according to the actual data cleaning requirement, which is not limited in this application.
In some embodiments, the present application also discloses a data detection device 50, as shown in fig. 5. The data detection device 50 comprises an extraction module 51, a processing module 52, an interception module 53 and a detection module 54.
The extracting module 51 is configured to extract a feature data interval in the preprocessed data interval, and generate a first feature data interval;
the processing module 52 is configured to process the first characteristic data interval according to a preset data transformation rule, and generate a second characteristic data interval for reducing high-frequency noise signal data interference;
the intercepting module 53 is configured to intercept the second characteristic data interval according to a preset data intercepting rule, and sequentially process the intercepted second characteristic data interval to generate a third characteristic data interval;
the detection module 54 is configured to detect the third characteristic data interval based on a preset envelope curve, and generate a data detection result.
In some embodiments, as shown in fig. 5, the electronic device 100 further discloses an electronic device 100, where the electronic device 100 includes a memory 20 and a processor 30, the memory 20 is used for storing instructions, and the processor 30 is used for calling the instructions in the memory 20, so that the electronic device 100 executes steps in the data detection method of the above embodiment, for example, steps S100 to S400 shown in fig. 1. The electronic device 100 may be a device with a data detection system deployed. In the embodiment of the present application, description is made taking an example in which the electronic apparatus 100 is an apparatus in which a data detection system is disposed.
It will be appreciated by those skilled in the art that the schematic diagram is merely an example of the electronic device 100 and is not meant to be limiting of the electronic device 100, and may include more or fewer components than shown, or may combine certain components, or different components, e.g., the electronic device 100 may also include input-output devices, network access devices, buses, etc.
The processor 30 may be a central processing unit (Central Processing Unit, CPU), but may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), off-the-shelf programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. The general purpose processor may be a microprocessor, a single-chip microcomputer or the processor 30 may be any conventional processor or the like.
The memory 20 may be used to store computer programs 40 and/or modules/units, and the processor 30 implements various functions of the electronic device 100 by running or executing the computer programs 40 and/or modules/units stored in the memory 20, and invoking data stored in the memory 20. The memory 20 may mainly include a storage program area that may store an operating system, application programs required for at least one function (such as a sound playing function, an image playing function, etc.), and a storage data area; the storage data area may store data (such as audio data) created according to the use of the electronic device 100, and the like. In addition, the memory 20 may include high-speed random access memory, and may also include nonvolatile memory, such as a hard disk, memory, plug-in hard disk, smart Media Card (SMC), secure Digital (SD) Card, flash Card (Flash Card), at least one disk storage device, flash memory device, or other nonvolatile solid state storage device.
The present application also discloses a computer-readable storage medium storing computer instructions that, when executed on the electronic device 100, cause the electronic device 100 to perform the data detection method of the present embodiment. The computer readable storage medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), an electrical carrier signal, a telecommunications signal, a software distribution medium, and so forth. It should be noted that the computer readable medium contains content that can be appropriately scaled according to the requirements of jurisdictions in which such content is subject to legislation and patent practice, such as in certain jurisdictions in which such content is subject to legislation and patent practice, the computer readable storage medium does not include electrical carrier signals and telecommunication signals.
In addition, the data detection method, the electronic device and the computer readable storage medium provided in the embodiments of the present invention are described in detail, and specific examples should be adopted to illustrate the principles and the embodiments of the present invention, where the description of the above embodiments is only for helping to understand the method and the core idea of the present invention; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in accordance with the ideas of the present invention, the present description should not be construed as limiting the present invention in view of the above.
Claims (10)
1. A method of data detection, the method comprising:
extracting a characteristic data interval in the preprocessing data interval to generate a first characteristic data interval;
processing the first characteristic data interval according to a preset data transformation rule to generate a second characteristic data interval for reducing high-frequency noise signal data interference;
intercepting the second characteristic data interval according to a preset data interception rule, and sequentially processing the intercepted second characteristic data interval to generate a third characteristic data interval;
and detecting the third characteristic data interval based on a preset envelope curve, and generating a data detection result.
2. The data detection method as claimed in claim 1, wherein the processing the first characteristic data interval according to a preset data transformation rule to generate a second characteristic data interval for reducing high frequency noise signal data interference comprises:
performing line frequency domain transformation on the first characteristic data interval by using a Fourier transformation rule to generate a line frequency domain transformation characteristic interval;
and performing time domain transformation on the line frequency domain transformation characteristic interval by using an inverse transformation rule to generate the second characteristic data interval.
3. The data detection method of claim 2, wherein the fourier transform rule comprises:
the inverse transformation rule includes:
4. The data detection method according to claim 1, wherein the intercepting the second characteristic data interval according to a preset data interception rule includes:
and windowing the second characteristic data interval, wherein the windowing mode is as follows:
5. The data detection method according to claim 1, wherein the data detection result includes a data detection pass result and a data detection fail result; the preset envelope curve comprises an upper envelope curve and a lower envelope curve; the detecting the third characteristic data interval based on the preset envelope curve, generating a data detection result, includes:
detecting the third characteristic data interval by using the upper envelope curve and the lower envelope curve;
if the third characteristic data interval is detected to be between the upper envelope curve and the lower envelope curve, generating a data detection qualified result;
and if the third characteristic data interval is detected not to be between the upper envelope curve and the lower envelope curve, generating the data detection failure result.
6. The data detection method of claim 1, further comprising, prior to the extracting the characteristic data interval within the preprocessed data interval:
collecting original data of a plurality of production beats;
and cleaning the original data by using a low-pass filtering processing mode to generate the preprocessing data interval.
7. The die data detection system is characterized by comprising an upper die, a lower die, a collecting device and a control device, wherein the upper die and the lower die are oppositely arranged, the collecting device is positioned in the middle of the upper die and is used for collecting original data, the original data are cleaned in a preset cleaning data mode to obtain a pretreatment data interval, the control unit is in communication connection with the upper die, the lower die and the collecting device, and the control unit is used for executing the data detection method according to any one of claims 1 to 6.
8. The mold data inspection system of claim 7, wherein the collection device comprises a collection carrier and a plurality of collection pieces, the collection pieces being located on one side of the collection carrier.
9. An electronic device comprising a processor and a memory, wherein the memory is configured to store instructions, the processor configured to invoke the instructions in the memory, to cause the electronic device to perform the data detection method of any of claims 1-6.
10. A computer readable storage medium storing computer instructions which, when run on an electronic device, cause the electronic device to perform the data detection method of any one of claims 1 to 6.
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