CN112749885A - Data processing system and method for processing equipment - Google Patents

Data processing system and method for processing equipment Download PDF

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Publication number
CN112749885A
CN112749885A CN202011615439.7A CN202011615439A CN112749885A CN 112749885 A CN112749885 A CN 112749885A CN 202011615439 A CN202011615439 A CN 202011615439A CN 112749885 A CN112749885 A CN 112749885A
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Prior art keywords
information
index
calculating
data
preset standard
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Chinese (zh)
Inventor
谢建宏
闫红盼
申佳孟
谭奎
李和德
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Fulian Intelligent Workshop Zhengzhou Co Ltd
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Zhengzhou Fulian Intelligent Workshop Co Ltd
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Priority to CN202011615439.7A priority Critical patent/CN112749885A/en
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06395—Quality analysis or management
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/20—Administration of product repair or maintenance
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/04—Manufacturing
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30—Computing systems specially adapted for manufacturing

Abstract

The application provides a data processing system and a method of processing equipment, wherein the data processing system comprises: the memory is used for storing preset standard information of a product processed by the processing equipment; a processor coupled with the memory and configured to: acquiring detection data of the product; calculating a process index according to the detection data and the preset standard information; and calculating first production condition information of the processing equipment according to the process index and the preset standard information. According to the data processing system, a data processing method is also provided, and the data processing system and the data processing method can reflect the conditions of the production quality, the operation method, the quality fluctuation and other production and processing capabilities of the processing equipment in time so as to guide the regulation and the improvement of the processing equipment, thereby improving the production efficiency and the product quality.

Description

Data processing system and method for processing equipment
Technical Field
The present disclosure relates to the field of information technology, and in particular, to a data processing system and method for a processing device.
Background
At present, in the process of production and processing of processing equipment, in the aspect of digital monitoring, the processing equipment generally has a certain information blocking condition, production data of the processing equipment cannot be collected, processed and applied in time, and although a certain digital system auxiliary software exists, production information of the processing equipment, such as the production condition, the instant state, the quality control and the like, cannot be quickly processed and reflected.
Disclosure of Invention
In view of the above, there is a need for a data processing system and method for a processing device, which can solve the above problems and timely reflect the conditions of the processing device in terms of production quality, operation method, quality fluctuation, etc. to guide the regulation and improvement of the processing device, thereby improving the production efficiency and quality.
A data processing system of a processing tool, comprising: the memory is used for storing preset standard information of a product processed by the processing equipment; a processor coupled with the memory and configured to: acquiring detection data of the product; calculating a process index according to the detection data and the preset standard information; and calculating first production condition information of the processing equipment according to the process index and the preset standard information.
In at least one embodiment, the processor is further configured to: calculating the standard deviation and the average value of the detection data; extracting a first limit value, a second limit value and a first coefficient in the preset standard information; and calculating the process index according to the standard deviation, the average value, the first limit value, the second limit value and a first coefficient.
In at least one embodiment, the data processing system further comprises: an alarm for issuing an alarm; the processor is further configured to: and judging that the detection data is smaller than the first limit value or larger than the second limit value, and controlling the alarm to give an alarm.
In at least one embodiment, the processor is further configured to: calculating a process index according to the detection data and the preset standard information; calculating second production condition information of the processing equipment according to the process index and the preset standard information; and calculating third production condition information of the processing equipment according to the process index, the process index and the preset standard information.
In at least one embodiment, the processor is further configured to: calculating a standard deviation of the detection data; and extracting a first limit value, a second limit value and a second coefficient in the preset standard information, and calculating the process index according to the standard deviation, the first limit value, the second limit value and the second coefficient.
In at least one embodiment, the inspection data includes a width, a length, and a thickness, the process recipe includes a first width indicator, a first length indicator, and a first thickness indicator, the process recipe includes a second width indicator, a second length indicator, and a second thickness indicator; the processor is further configured to: calculating the first width index and the second width index according to the width and the preset standard information; calculating the first length index and the second length index according to the length and the preset standard information; and calculating the first thickness index and the second thickness index according to the thickness and the preset standard information.
In at least one embodiment, the data processing system further comprises: the acquisition component is respectively coupled with the memory and the processor and is used for acquiring and transmitting the detection data of the product; the memory is further used for storing the detection data.
In at least one embodiment, the collecting component is further configured to collect and transmit tag information of the processing device, where the tag information includes positioning data, IP address data, and number data; the memory is further used for storing the label information; the processor is further configured to obtain the tag information; the first production condition information, the second production condition information, and the third production condition information include the tag information, respectively.
In at least one embodiment, the data processing system further comprises: a display mechanism for displaying at least one of the inspection data, the process indicator and the process indicator, the first production status information, the second production status information and the third production status information.
A method of processing data for a processing tool, comprising: storing preset standard information of a product processed by processing equipment; acquiring detection data of the product; calculating a process index according to the detection data and the preset standard information; and calculating first production condition information of the processing equipment according to the process index and the preset standard information.
In at least one embodiment, the calculating the process recipe comprises: calculating the standard deviation and the average value of the detection data; extracting a first limit value, a second limit value and a first coefficient in the preset standard information; and calculating the process index according to the standard deviation, the average value, the first limit value, the second limit value and a first coefficient.
In at least one embodiment, the data processing method further comprises: and judging that the detection data is smaller than the first limit value or larger than the second limit value, and controlling the alarm to give an alarm.
In at least one embodiment, the data processing method further comprises: calculating a process index according to the detection data and the preset standard information; calculating second production condition information of the processing equipment according to the process index and the preset standard information; and calculating third production condition information of the processing equipment according to the process index, the process index and the preset standard information.
In at least one embodiment, the calculating the process indicator includes: calculating a standard deviation of the detection data; extracting a first limit value, a second limit value and a second coefficient in the preset standard information; calculating the process indicator based on the standard deviation, the first limit, the second limit, and the second coefficient.
In at least one embodiment, the inspection data includes a width, a length, and a thickness, the process recipe includes a first width indicator, a first length indicator, and a first thickness indicator, the process recipe includes a second width indicator, a second length indicator, and a second thickness indicator; calculating the first width index and the second width index according to the width and the preset standard information; calculating the first length index and the second length index according to the length and the preset standard information; and calculating the first thickness index and the second thickness index according to the thickness and the preset standard information.
In at least one embodiment, the data processing method further comprises: collecting and transmitting detection data of the product; and storing the detection data.
In at least one embodiment, the data processing method further comprises: collecting and transmitting label information of processing equipment, wherein the label information comprises positioning data, IP address data and numbering data; storing the tag information; acquiring the label information;
the first production condition information, the second production condition information, and the third production condition information include the tag information, respectively.
In at least one embodiment, the data processing method further comprises: displaying at least one of the inspection data, the process indicator and the process indicator, the first production condition information, the second production condition information and the third production condition information.
In the data processing system and method of the processing equipment, the data processing system includes: the memory is used for storing preset standard information of a product processed by the processing equipment; a processor coupled with the memory and configured to: acquiring detection data of the product; calculating a process index according to the detection data and the preset standard information; and calculating first production condition information of the processing equipment according to the process index and the preset standard information. The first production condition information is used for reflecting conditions in the production and processing capabilities of the processing equipment, such as production quality, operation method, quality fluctuation and the like, so as to guide regulation and improvement of the processing equipment.
Drawings
Fig. 1 is an architecture diagram of a data processing system of a processing apparatus in the present embodiment.
Fig. 2 is a flowchart of a data processing method of the processing facility in the present embodiment.
Fig. 3 is a schematic diagram of step S500 in the data processing method according to the present embodiment.
Fig. 4 is a schematic diagram of step S600 in the data processing method according to this embodiment.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It will be understood that when an element is referred to as being "connected" to another element, it can be directly connected to the other element or intervening elements may also be present. When an element is referred to as being "on" another element, it can be directly on the other element or intervening elements may also be present. The terms "top," "bottom," "upper," "lower," "left," "right," "front," "rear," and the like as used herein are for illustrative purposes only.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention.
Illustratively, as shown in fig. 1, an architectural diagram of a data processing system 100 of a processing tool, embodiments are described in detail below by way of example.
In this embodiment, the data processing system 100 includes an acquisition component 110, a memory 120, a processor 130, an alarm 140, a display 150, a processing tool 160, and the like, and the processor 130 is coupled to the acquisition component 110, the memory 120, the alarm 140, and the display 150, respectively.
The collecting component 110 is connected to the processing equipment 160, and is configured to collect and transmit detection data of a product, and includes a detector 111 and a transceiver 112 coupled to each other, the detector 111 is configured to detect the product to obtain the detection data, the detector 111 may be a detector, a detection probe, etc. installed on the processing equipment itself, or a detection program may be installed in the processing equipment, and the processing equipment itself is configured to perform detection to collect the detection data, and then transmit the detection data to the processor 130 through the transceiver 112, where the transmission mode may be a wired or wireless mode. The processing device 160 is configured to provide data related to a product, and process the product through the processing device to generate detection data related to the product, and the processing device 160 may be a numerical control machine, a grinding machine, or a welding device, and the like, which are used for processing the product, and in this embodiment, is a numerical control machine.
The memory 120 is used for storing preset standard information of a product processed by the processing equipment 160, tag information of the processing equipment 160, and programs, modules and the like of each execution mode, and the memory 120 may be a high-speed random access memory, a non-volatile memory, a network storage server and the like, and includes at least one magnetic disk storage device, a flash memory device, a general flash memory and the like. The preset standard information comprises comparison information related to the product, such as a plurality of limit values, coefficients, standard values and the like in all dimensions; the tag information includes positioning data, IP address data, and number data, etc. to facilitate positioning and subsequent related statistics, such as when a product is abnormal, it is also easier to find the related processing equipment 160 for maintenance.
The processor 130 is configured to obtain the detection data of the product from the collecting component 110, and calculate the process index, the production status information of the processing equipment 160, and the like according to the detection data, the preset standard information, and the like, for example:
the process index calculation method comprises the following steps: calculating the standard deviation and the average value of the detection data; extracting a first limit value, a second limit value and a first coefficient in preset standard information; and calculating to obtain the process index according to the standard deviation, the average value, the first limit value, the second limit value and the first coefficient. The process indicator may be used to reflect the actual processing capability of the processing equipment 160 in the process time under normal execution conditions to control the stability and consistency of the quality of the processed product to meet the standard requirements (specification range, etc.). The higher process index can produce products with good quality and high reliability and meeting high standards.
The calculation of the process indicator comprises the steps of: calculating the standard deviation of the detection data; extracting a first limit value, a second limit value and a second coefficient in preset standard information; and calculating to obtain a process index according to the standard deviation, the first limit value, the second limit value and the second coefficient. The process indicator may be used to reflect the actual processing capability of the processing tool 160 in a controlled state (steady state) when the process meets the relevant standard requirements (specifications, ranges, etc.). If the process index is higher, good products can be stably produced for a longer time.
At least one of the process index and the process index is obtained, and the production status information of the processing equipment 160 can be further calculated by combining the preset standard information. The production status information can be used to reflect the comprehensive production status of the processing equipment 160, so as to facilitate maintenance, modification and improvement of the processing equipment 160, thereby improving the production efficiency and the product quality.
The above calculation steps can be further detailed in the data processing method section below. Among other things, processor 130 may be an integrated processor including one or more processing units, such as: the processor 130 may include an Application Processor (AP), a modem processor, a Graphics Processing Unit (GPU), an Image Signal Processor (ISP), a controller, a memory, a video codec, a Digital Signal Processor (DSP), a baseband processor, and/or a Neural-Network Processing Unit (NPU), etc. The different processing units may be separate devices or may be integrated into one or more processors.
The alarm 140 is used to issue an alarm. When the processor 130 determines that the detected data is abnormal, the alarm 140 is controlled to issue an alarm and warn in time, so that the processing equipment 160 can be checked and adjusted in time to at least recover to a normal state. The alarm 140 may be an integration of one or more of a bell, warning light, alarm bell, etc. that may be used to alarm.
The display 150 is used for displaying the detection data of the product, the preset standard information, the calculated process index, the production status information of the processing equipment 160, the alarm information, and the like, and may also display images, videos, and the like. The display 150 may be a device including a display mechanism having a display panel, such as a mobile phone, a computer, a player, a display, and the like. The display panel may adopt a Liquid Crystal Display (LCD), an organic light-emitting diode (OLED), an active-matrix organic light-emitting diode (active-matrix organic light-emitting diode, AMOLED), a flexible light-emitting diode (FLED), a miniature, a Micro-oeld, a quantum dot light-emitting diode (QLED), and the like. In some embodiments, the display 150 may include one or more display panels.
In some embodiments, the memory 120, processor 130, alarm 140, and display 150 may be integrated, in whole or in part, by software, hardware, firmware, or any combination thereof, such as hardware, e.g., a cell phone, a computer, etc.
Illustratively, with continuing reference to fig. 2-4, the data processing method of the processing device in the present embodiment is further described as follows:
and S101, collecting and transmitting detection data of the product.
The detector 111 detects the product processed by the processing device 160 to obtain the detection data of the product, and then transmits the detection data through the transceiver 112, wherein the transmission mode may be a wired or wireless mode. In some embodiments, the acquisition component 110 may also include a memory for storing the test data, from which the test data is retrieved when needed, and then transmitted via the transceiver 112. In some embodiments, the detector 111 transmits the detection data directly after obtaining the detection data, and may transmit the detection data to the storage server 310 for storage, or may transmit the detection data directly to the processor 130. In this embodiment, the method may further include step S102: the label information of the processing equipment is collected and transmitted, and the label information comprises positioning data, IP address data, numbering data and the like. That is, the detector 111 may further collect tag information of the processing equipment 160 during the process of obtaining the detection data of the product, and then transmit the tag information through the transceiver 112.
S201, obtaining detection data of the product.
The processor 130 obtains inspection data for the product from the transceiver 112 of the acquisition component 110. In this embodiment, the method may also include step S202: the tag information of the processed product is obtained to obtain the processing flow, the positioning data, the IP address data, the number data, and the like, and the related functions are as described above, which are not repeated herein.
S300, judging whether the detection data is smaller than a first limit value or larger than a second limit value.
According to the detection data and the preset standard information, the processor 130 invokes the checking module to determine whether the detection data meets the preset standard information, and if the detection data is checked against the first limit value and the second limit value in the preset standard information, determine whether the detection data is smaller than the first limit value or larger than the second limit value.
If the detection data is smaller than the first limit value or larger than the second limit value, executing the following steps:
and S400, giving an alarm.
I.e. the processor 130 controls the alarm 510 to issue an alarm. At this time, it can be determined that the product is abnormal, so that an alarm is given and a warning is given in time, so that the processing equipment 160 can be checked and maintained in time, and can be recovered to a normal state as soon as possible.
If the detection data is not less than the first limit value and not more than the second limit value, executing the following steps:
s500, calculating at least one of the process index and the process index according to the detection data and the preset standard information.
According to the detection data and the preset standard information, the processor 130 invokes the calculation module to calculate the process index and/or the process index, as shown in fig. 3, and further includes step S510 and step S520, specifically:
and S510, calculating a process index according to the detection data and preset standard information.
The recipe index is used to indicate the actual processing capability of the processing equipment 160 in the process time under the normal execution condition, and the quality of the product to be processed is controlled to meet the stability and consistency status of the standard requirement (specification range, etc.), and the calculation steps include:
s511, calculating the standard deviation and the average value of the detection data;
s512, extracting a first limit value, a second limit value and a first coefficient in preset standard information;
s513, calculating the process index according to the standard deviation, the average value, the first limit value, the second limit value and the first coefficient.
For example: the process recipe index is denoted by CK, the standard deviation is denoted by StdDev, the Mean value is denoted by Mean, the first limit is denoted by USL, the second limit is denoted by LSL, and the first coefficient includes X, Y, which is the predetermined data of the product processed by the processing equipment 160. Counting N detection data, calculating a standard deviation StdDev (N1 … … Nn) and a Mean value Mean (N1 … … Nn) of the N detection data, wherein the StdDev (N1 … … Nn) and the Mean (N1 … … Nn) are subsequently simplified into StdDev and Mean respectively, wherein Nn represents a detection data, N is an integer greater than or equal to 1, and the calculation formula is as follows: CK ═ Min (((USL-Mean)/(X × stdev)), ((Mean-LSL)/(Y × stdev))).
And S520, calculating the process index according to the detection data and the preset standard information.
The calculation module further calculates a process index according to the detection data and the preset standard information, where the process index can be used to reflect the actual processing capability of the processing equipment 160 in the control state (stable state) when the processing process meets the relevant standard requirements (technical requirements, specifications, ranges, etc.), and with continued reference to fig. 3, the calculation step includes:
s521, calculating a standard deviation of the detection data;
s522, extracting a first limit value, a second limit value and a second coefficient in preset standard information;
and S523, calculating a process index according to the standard deviation, the first limit value, the second limit value and the second coefficient.
For example: the process index is denoted CP, the standard deviation is denoted stdddev, the first limit is denoted USL, the second limit is denoted LSL, and the second coefficients, including Z1, Z2, are preset data for the product being processed by the processing device 160. Counting N detection data, calculating a standard deviation StdDev (N1 … … Nn) of the N detection data (which is subsequently simplified to StdDev), wherein Nn represents a detection data, N is an integer greater than or equal to 1, and the calculation formula is set as: CP (Z1 ═ (USL-LSL))/(Z2 ═ stdev).
In this embodiment, the inspection data includes a width, a length, and a thickness of the product, the process indicator includes a first width indicator, a first length indicator, and a first thickness indicator, and the process indicator includes a second width indicator, a second length indicator, and a second thickness indicator; the processor 130 is further configured to: calling a calculation module to calculate a first width index and a second width index according to the width and preset standard information; according to the length and the preset standard information, calling a calculation module to calculate a first length index and a second length index; and calling a calculation module to calculate a first thickness index and a second thickness index according to the thickness and the preset standard information. The process index and the process index are further calculated in a subdivided manner to calculate and reflect the status of the processing equipment 160 more comprehensively, so that the status information of the processing equipment 160 is more accurate, and the maintenance and correction of the processing equipment 160 are more convenient. For example: the first width index, the first length index and the first thickness index can be respectively CK1、CK2And CK3Indicates the second width index,The second length index and the second thickness index can be respectively used as CP1、CP2And CP3It is shown that the calculation method is the same as S510 or S520, and is not described again.
S600, calculating the production condition information of the processing equipment according to the preset standard information and at least one of the process index and the process index.
Based on the process indicator and the predetermined standard information, the processor 130 calls the calculation module to calculate the production status information of the processing equipment 160. The production condition information includes first production condition information, second production condition information, and third production condition information, and the calculation condition can be referred to fig. 4, specifically:
s610, calculating first production condition information of the processing equipment according to the process indexes and the preset standard information. The first production condition information is used for reflecting conditions in the production and processing capabilities of the processing equipment 160, such as production quality, operation method, quality fluctuation range and the like, so as to guide adjustment, correction and improvement of the processing equipment 160, and when the product processed by the processing equipment 160 is abnormal, the first production condition information can be reflected in time, so that the processing equipment 160 can be corrected in time, and the processing capability can be recovered or improved.
And S620, calculating second production condition information of the processing equipment according to the process index and the preset standard information. That is, based on the process index and the preset standard information, the processor 130 calls the calculation module to calculate the second production condition information of the processing equipment 160.
And S630, calculating third production condition information of the processing equipment according to the process index, the process index and the preset standard information. Similarly, based on the process index, the process index and the predetermined standard information, the processor 130 invokes the calculation module to calculate the third production condition information of the processing equipment 160.
The second production status information and the third production status information are also used to reflect the conditions of the production capacity of the processing equipment 160, such as production quality, operation method, quality fluctuation, etc., so as to guide the adjustment, correction and improvement of the processing equipment 160. By calculating more comprehensively, the condition information of the processing equipment 160 is more comprehensively reflected.
S700, displaying at least one of the detection data, the process index and the production condition information. Wherein the production status information comprises first production status information, second production status information and third production status information.
The display 150 may receive information from the processor 130 for displaying at least one of the inspection data, the process indicator and the process indicator, the first production status information, the second production status information and the third production status information for more intuitive reflection. By calculating and displaying more comprehensively, the status information of the processing equipment 160 is more accurate and intuitive to guide the maintenance, correction and improvement of the processing equipment 160, thereby improving the production efficiency and the product quality.
As used in the above embodiments, the term "when …" may be interpreted to mean "if …" or "after …" or "in response to a determination of …" or "in response to a detection of …", depending on the context. Similarly, depending on the context, the phrase "at the time of determination …" or "if (a stated condition or event) is detected" may be interpreted to mean "if the determination …" or "in response to the determination …" or "upon detection (a stated condition or event)" or "in response to detection (a stated condition or event)".
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. The foregoing description, for purpose of explanation, has been described with reference to specific embodiments. However, the exemplary discussions above are not intended to be exhaustive or to limit the application to the precise forms disclosed. Many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the application and its practical applications, to thereby enable others skilled in the art to best utilize the application and various embodiments with various modifications as are suited to the particular use contemplated.
In addition, those skilled in the art should recognize that the foregoing embodiments are illustrative only, and not limiting, and that appropriate changes and modifications can be made without departing from the spirit and scope of the invention as defined by the appended claims.

Claims (18)

1. A data processing system of a processing tool, comprising:
the memory is used for storing preset standard information of a product processed by the processing equipment;
a processor coupled with the memory and configured to:
acquiring detection data of the product;
calculating a process index according to the detection data and the preset standard information;
and calculating first production condition information of the processing equipment according to the process index and the preset standard information.
2. The data processing system of claim 1, wherein the processor is further to:
calculating the standard deviation and the average value of the detection data;
extracting a first limit value, a second limit value and a first coefficient in the preset standard information;
and calculating the process index according to the standard deviation, the average value, the first limit value, the second limit value and a first coefficient.
3. The data processing system of claim 2, further comprising:
an alarm coupled with the processor;
wherein the processor is further configured to:
and judging that the detection data is smaller than the first limit value or larger than the second limit value, and controlling the alarm to give an alarm.
4. The data processing system of claim 1, wherein the processor is further to:
calculating a process index according to the detection data and the preset standard information;
calculating second production condition information of the processing equipment according to the process index and the preset standard information;
and calculating third production condition information of the processing equipment according to the process index, the process index and the preset standard information.
5. The data processing system of claim 4, wherein the processor is further to:
calculating a standard deviation of the detection data;
and extracting a first limit value, a second limit value and a second coefficient in the preset standard information, and calculating the process index according to the standard deviation, the first limit value, the second limit value and the second coefficient.
6. The data processing system of claim 4, wherein the inspection data includes a width, a length, and a thickness, the process recipe includes a first width index, a first length index, and a first thickness index, the process recipe includes a second width index, a second length index, and a second thickness index;
the processor is further configured to:
calculating the first width index and the second width index according to the width and the preset standard information;
calculating the first length index and the second length index according to the length and the preset standard information;
and calculating the first thickness index and the second thickness index according to the thickness and the preset standard information.
7. The data processing system of claim 4, further comprising:
the acquisition component is respectively coupled with the memory and the processor and is used for acquiring and transmitting the detection data of the product;
wherein the memory is further configured to store the detection data.
8. The data processing system of claim 7,
the acquisition component is further used for acquiring and transmitting label information of the processing equipment, wherein the label information comprises positioning data, IP address data and numbering data;
the memory is further used for storing the label information;
the processor is further configured to obtain the tag information;
the first production condition information, the second production condition information, and the third production condition information include the tag information, respectively.
9. The data processing system of claim 4, further comprising:
a display mechanism, coupled to the processor, for displaying at least one of the inspection data, the process indicator and the process indicator, the first production status information, the second production status information and the third production status information.
10. A data processing method of a processing apparatus, comprising:
acquiring detection data of a product;
calculating a process index according to the detection data and pre-stored preset standard information;
and calculating first production condition information of the processing equipment according to the process index and the preset standard information.
11. The data processing method of claim 10, wherein said calculating a process indicator comprises:
calculating the standard deviation and the average value of the detection data;
extracting a first limit value, a second limit value and a first coefficient in the preset standard information;
and calculating the process index according to the standard deviation, the average value, the first limit value, the second limit value and a first coefficient.
12. The data processing method of claim 11, further comprising:
and judging that the detection data is smaller than the first limit value or larger than the second limit value, and controlling an alarm to give an alarm.
13. The data processing method of claim 10, further comprising:
calculating a process index according to the detection data and the preset standard information;
calculating second production condition information of the processing equipment according to the process index and the preset standard information;
and calculating third production condition information of the processing equipment according to the process index, the process index and the preset standard information.
14. The data processing method of claim 13, wherein the calculating a process metric comprises:
calculating a standard deviation of the detection data;
extracting a first limit value, a second limit value and a second coefficient in the preset standard information;
calculating the process indicator based on the standard deviation, the first limit, the second limit, and the second coefficient.
15. The data processing method of claim 13, wherein the inspection data includes a width, a length, and a thickness, the process recipe includes a first width index, a first length index, and a first thickness index, the process recipe includes a second width index, a second length index, and a second thickness index;
calculating the first width index and the second width index according to the width and the preset standard information;
calculating the first length index and the second length index according to the length and the preset standard information;
and calculating the first thickness index and the second thickness index according to the thickness and the preset standard information.
16. The data processing method of claim 13, further comprising:
collecting and transmitting detection data of the product;
and storing the detection data.
17. The data processing method of claim 16, further comprising:
collecting and transmitting label information of processing equipment, wherein the label information comprises positioning data, IP address data and numbering data;
acquiring pre-stored label information;
wherein the first production status information, the second production status information, and the third production status information respectively include the tag information.
18. The data processing method of claim 13, further comprising:
displaying at least one of the inspection data, the process indicator and the process indicator, the first production condition information, the second production condition information and the third production condition information.
CN202011615439.7A 2020-12-30 2020-12-30 Data processing system and method for processing equipment Pending CN112749885A (en)

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