CN117557046A

CN117557046A - Intelligent manufacturing production management system and method

Info

Publication number: CN117557046A
Application number: CN202311569815.7A
Authority: CN
Inventors: 徐英; 熊伟; 甄高阳
Original assignee: Shenzhen Noah Hongyun Information Technology Co ltd
Current assignee: Shenzhen Noah Hongyun Information Technology Co ltd
Priority date: 2023-11-23
Filing date: 2023-11-23
Publication date: 2024-02-13

Abstract

The invention discloses an intelligent manufacturing production management system and method, which relate to the technical field of intelligent manufacturing production management and comprise the following steps: s1, when a product passes through the range of an RFID reader, the RFID reader sends a radio frequency signal to an RFID tag to activate the RFID tag; s2, the activated RFID tag responds to the request of the RFID reader-writer, and data stored in the RFID tag is transmitted to the RFID reader-writer. When the hidden danger of the potential quality problem can not be found in time when the RFID tag and the RFID reader-writer are in radio frequency communication is perceived, an alarm prompt is sent out in time to inform related personnel of the situation, the RFID tag and the RFID reader-writer are maintained and managed, the potential quality problem is found in time in the intelligent manufacturing and production management process, the influence of defective products entering the market on the reputation of the products is effectively avoided, and the occurrence of the situation of causing the potential safety hidden danger is effectively avoided.

Description

Intelligent manufacturing production management system and method

Technical Field

The invention relates to the technical field of intelligent manufacturing and production management, in particular to an intelligent manufacturing and production management system and method.

Background

The intelligent manufacturing production management system is a system integrating advanced technology and intelligent algorithm, and aims to improve the efficiency, quality and flexibility of the manufacturing process. Such systems often incorporate advanced technologies such as information technology, internet of things (IoQ), artificial Intelligence (AI), big data analysis, etc., to enable more intelligent, automated production management.

In intelligent manufacturing management, radio Frequency Identification (RFID) technology is used to track the position and state of articles such as products, raw materials, semi-finished products, etc., each article carries a unique RFID tag, and the unique RFID tag can be scanned by an RFID reader to record the movement and processing history of the article.

RFID (Radio-Frequency IdenQificaQion) Radio frequency identification technology uses Radio waves to transmit data, and enables unique identification of objects through wireless communication between tags and readers, thereby providing a traceable solution for products and production processes.

Each product, raw material or batch may be assigned a unique RFID tag that stores unique identification information for a particular item, and may contain critical data such as date of manufacture, location of manufacture, vendor information, etc., which may be unique to ensure that each item has a unique identity. The RFID technology can realize rapid and non-contact data acquisition. The information on the tag, including the position, state, movement history, etc. of the article can be read in real time by the RFID reader. This enables real-time monitoring of various links in the production process during intelligent manufacturing production.

The prior art has the following defects: in the field of intelligent manufacturing and production management, the RFID technology is widely applied to quality control, however, if the RFID tag and the RFID reader cannot be timely detected due to abnormality in radio frequency communication, the potential quality problem may be difficult to timely find, when the situation occurs, defective products may be caused to enter the market, the reputation of the products may be influenced, and even potential safety hazards may be caused, so that it is particularly important to effectively monitor and timely process the abnormality of the RFID tag and the RFID reader so as to ensure the accuracy of quality control, maintain the reputation of enterprises and timely cope with potential safety risks.

The above information disclosed in the background section is only for enhancement of understanding of the background of the disclosure and therefore it may include information that does not form the prior art that is already known to a person of ordinary skill in the art.

Disclosure of Invention

The invention aims to provide an intelligent manufacturing production management system and method, which monitor the process of controlling the product quality by an RFID tag and an RFID reader, send out alarm prompt in time when hidden danger of failing to discover potential quality problems in time exists when the RFID tag and the RFID reader are in radio frequency communication, inform related personnel of the situation, maintain and manage the RFID tag and the RFID reader, ensure that the potential quality problems are discovered in time when the potential quality problems occur in the intelligent manufacturing production management process, effectively avoid influencing the product reputation when defective products enter the market, and effectively avoid the occurrence of the situation of triggering potential safety hazards at the same time so as to solve the problems in the background technology.

In order to achieve the above object, the present invention provides the following technical solutions: an intelligent manufacturing production management method comprises the following steps:

s1, when a product passes through the range of an RFID reader, the RFID reader sends a radio frequency signal to an RFID tag to activate the RFID tag;

s2, the activated RFID tag responds to the request of the RFID reader-writer, and data stored in the RFID tag is transmitted to the RFID reader-writer;

s3, acquiring multiple data information, including radio frequency quality information and radio frequency identification data interaction information, when the RFID tag and the RFID reader-writer carry out radio frequency communication, and processing the radio frequency quality information and the radio frequency identification data interaction information after acquisition;

s4, establishing an intelligent evaluation model of the processed radio frequency quality information and the radio frequency identification data interaction information when the RFID tag and the RFID reader-writer carry out radio frequency communication, and generating a radio frequency communication evaluation index;

s5, comparing and analyzing a radio frequency communication evaluation index generated when the RFID tag and the RFID reader-writer carry out radio frequency communication with a preset radio frequency communication evaluation index reference threshold value to generate a high hidden danger signal or a low hidden danger signal;

s6, after receiving high hidden danger signals generated when the RFID tag and the RFID reader-writer carry out radio frequency communication, acquiring a plurality of radio frequency communication evaluation indexes generated by the analysis unit in real time for comprehensive analysis, generating accidental hidden danger signals or non-accidental hidden danger signals, and sending alarm prompts to the non-accidental hidden danger signals;

And S7, transmitting the data read from the RFID tag to a central data management system in real time, performing quality control and verification after the system receives the data, and sending an alarm prompt through the system to inform related personnel if the quality control finds abnormality.

Preferably, the radio frequency quality information when the RFID tag and the RFID reader-writer carry out radio frequency communication comprises a radio frequency offset coefficient and a radio frequency signal emission intensity variation coefficient, the radio frequency identification data interaction information when the RFID tag and the RFID reader-writer carry out radio frequency communication comprises a tag data transmission abnormal hiding coefficient, and after acquisition, the radio frequency offset coefficient and the radio frequency signal emission intensity variation coefficient are respectively calibrated as ζζ ^PY And lambda ^QD Marking the abnormal hiding coefficient of the tag data transmission as psi ^CS 。

Preferably, the logic for obtaining the rf frequency offset coefficient is as follows:

s101, acquiring expected communication frequency when the RFID tag and the RFID reader-writer carry out radio frequency communication, and calibrating the expected communication frequency as zeta ^PY _{Standard of} ；

S102, acquiring a plurality of actual transmitting frequencies transmitted by the RFID reader and a plurality of actual receiving frequencies received by the RFID tag in Q time when the RFID tag and the RFID reader carry out radio frequency communication, and respectively calibrating the actual transmitting frequencies and the actual receiving frequencies as zeta ^PY _x And xi ^PY _y X represents the number of a plurality of actual transmitting frequencies transmitted by the RFID reader-writer in Q time when the RFID tag and the RFID reader-writer perform radio frequency communication, and x=1, 2, 3, 4 and … …A, a is a positive integer, y represents the number of a plurality of actual receiving frequencies received by the RFID tag in Q time when the RFID tag and the RFID reader-writer carry out radio frequency communication, and y=1, 2, 3, 4, … … and b are positive integers;

s103, calculating a radio frequency offset coefficient when the RFID tag and the RFID reader-writer carry out radio frequency communication, wherein the calculated expression is as follows:

wherein a represents the total number of actual transmitting frequencies transmitted by the RFID reader-writer in the Q time when the RFID tag and the RFID reader-writer perform radio frequency communication, and b represents the total number of actual receiving frequencies received by the RFID tag in the Q time when the RFID tag and the RFID reader-writer perform radio frequency communication.

Preferably, the logic for acquiring the rf signal transmission intensity variation coefficient is as follows:

s201, acquiring actual radio frequency signal emission intensity of radio frequency signals emitted by the RFID reader-writer at different moments in Q time when the RFID tag and the RFID reader-writer carry out radio frequency communication, and calibrating the actual radio frequency signal emission intensity as lambda ^QD _v V represents the number of the actual radio frequency signal emission intensity of the radio frequency signal emitted by the RFID reader-writer at different moments in Q time when the RFID tag and the RFID reader-writer perform radio frequency communication, v=1, 2, 3, 4, … … and c, wherein c is a positive integer;

s202, establishing a data set of actual radio frequency signal emission intensity acquired in Q time when radio frequency communication is carried out between the RFID tag and the RFID reader, sequencing the actual radio frequency signal emission intensity in the data set according to the sequence, and recalibrating the actual radio frequency signal emission intensity after sequencing to lambda ^QD _v′ V ' represents the number of the transmission intensity of the actual radio frequency signal after the re-sequence in the data set, v ' =1, 2, 3, 4, … …, c ' is a positive integer;

s203, calculating a radio frequency signal emission intensity variation coefficient when the RFID tag and the RFID reader-writer carry out radio frequency communication, wherein the calculated expression is as follows:

wherein c 'represents the total number of actual radio frequency signal emission intensities acquired in the Q time when the RFID tag and the RFID reader perform radio frequency communication, and c' =c.

Preferably, the logic for obtaining the tag data transmission abnormal concealment coefficients is as follows:

s301, acquiring actual data transmission rates of different time periods in Q time when the RFID tag and the RFID reader-writer carry out radio frequency communication, and calibrating the actual data transmission rates to be phi ^CS _k K represents the number of the actual data transmission rate of different time periods in Q time when the RFID tag and the RFID reader-writer carry out radio frequency communication, and k=1, 2, 3, 4, … … and d are positive integers;

s302, comparing the actual data transmission rate acquired in the Q time when the RFID tag and the RFID reader-writer carry out radio frequency communication with a preset data transmission rate reference value, and recalibrating the actual data transmission rate smaller than the data transmission rate reference value to be phi ^CS _k′ K ' represents the number of the actual data transmission rate which is smaller than the reference value of the data transmission rate and is acquired at the time Q when the RFID tag and the RFID reader perform radio frequency communication, k ' =1, 2, 3, 4, … …, d ' is a positive integer;

s303, calculating a tag data transmission abnormal hiding coefficient when the RFID tag and the RFID reader-writer carry out radio frequency communication, wherein the calculated expression is as follows:

wherein d represents the total number of actual data transmission rates acquired in Q time when the RFID tag and the RFID reader-writer perform radio frequency communication, and ψ ^CS _{Reference to} Representing the data transmission rate reference value.

Preferably, the radio frequency offset coefficient xi after being processed when the radio frequency communication is carried out between the RFID tag and the RFID reader-writer ^PY Radio frequency signal transmissionCoefficient of variation of intensity lambda ^QD Tag data transmission anomaly concealment coefficient ψ ^CS Establishing an intelligent evaluation model to generate a radio frequency communication evaluation index TX _{Index number} The formula according to is:

wherein w1, w2 and w3 are radio frequency offset coefficients ζ and ζ respectively ^PY Coefficient of variation lambda of emission intensity of radio frequency signal ^QD Tag data transmission anomaly concealment coefficient ψ ^CS W1, w2, w3 are all greater than 0.

Preferably, the radio frequency communication evaluation index generated when the RFID tag and the RFID reader perform radio frequency communication is compared with a preset radio frequency communication evaluation index reference threshold value, and the comparison analysis result is as follows:

if the radio frequency communication evaluation index is smaller than or equal to the radio frequency communication evaluation index reference threshold, generating a low hidden danger signal;

and if the radio frequency communication evaluation index is larger than the radio frequency communication evaluation index reference threshold, generating a high hidden danger signal.

Preferably, after receiving a high hidden danger signal generated when the RFID tag and the RFID reader-writer perform radio frequency communication, a plurality of radio frequency communication evaluation indexes generated when the RFID tag and the RFID reader-writer perform radio frequency communication are obtained in real time, and an analysis set is marked as I, and then I= { TX _{Index f} F represents the number of radio frequency communication evaluation indexes in the analysis set, f=1, 2, 3, 4, … …, u being a positive integer;

calculating a radio frequency communication evaluation index standard deviation and a radio frequency communication evaluation index average value through radio frequency communication evaluation indexes in an analysis set, and respectively comparing the radio frequency communication evaluation index standard deviation and the radio frequency communication evaluation index average value with a preset standard deviation reference threshold value and a preset radio frequency communication evaluation index reference threshold value to obtain the following comparison analysis results:

if the radio frequency communication evaluation index average value is greater than or equal to the radio frequency communication evaluation index reference threshold value, or the radio frequency communication evaluation index average value is smaller than the radio frequency communication evaluation index reference threshold value and the radio frequency communication evaluation index standard deviation is greater than or equal to the standard deviation reference threshold value, generating a non-accidental hidden danger signal, and sending an alarm prompt to the non-accidental hidden danger signal;

if the average value of the radio frequency communication evaluation indexes is smaller than the reference threshold value of the radio frequency communication evaluation indexes and the standard deviation of the radio frequency communication evaluation indexes is smaller than the reference threshold value of the standard deviation, generating accidental hidden danger signals, and not giving alarm prompts to the accidental hidden danger signals.

An intelligent manufacturing production management system comprises a radio frequency signal activation module, a data reading module, an information acquisition unit, an analysis unit, a perception unit, a hidden danger type analysis unit, an alarm unit and a quality control and verification module;

The radio frequency signal activation module is used for activating the RFID tag when the product passes through the range of the RFID reader-writer;

the data reading module is used for transmitting the data stored in the RFID tag to the RFID reader-writer and carrying out radio frequency communication through the RFID tag and the RFID reader-writer;

the information acquisition unit acquires a plurality of data information, including radio frequency quality information and radio frequency identification data interaction information, when the RFID tag and the RFID reader-writer carry out radio frequency communication, and after the information acquisition, the information acquisition unit processes the radio frequency quality information and the radio frequency identification data interaction information and then uploads the processed information to the analysis unit;

the analysis unit is used for establishing an intelligent evaluation model of the processed radio frequency quality information and the radio frequency identification data interaction information when the RFID tag and the RFID reader-writer carry out radio frequency communication, generating a radio frequency communication evaluation index and uploading the radio frequency communication evaluation index to the sensing unit;

the sensing unit is used for comparing and analyzing the radio frequency communication evaluation index generated when the RFID tag and the RFID reader-writer perform radio frequency communication with a preset radio frequency communication evaluation index reference threshold value to generate a high hidden danger signal or a low hidden danger signal, and transmitting the signals to the hidden danger type analysis unit;

the hidden danger type analysis unit is used for acquiring a plurality of radio frequency communication evaluation indexes generated by the analysis unit in real time for comprehensive analysis after receiving a high hidden danger signal generated when the RFID tag and the RFID reader-writer carry out radio frequency communication, generating an accidental hidden danger signal or a non-accidental hidden danger signal, transmitting the signal to the alarm unit, and sending an alarm prompt to the non-accidental hidden danger signal through the alarm unit;

And the quality control and verification module is used for transmitting the data read from the RFID tag to the central data management system in real time, carrying out quality control and verification after the system receives the data, and sending an alarm prompt through the system to inform related personnel if the quality control finds abnormality.

In the technical scheme, the invention has the technical effects and advantages that:

according to the invention, the process of controlling the product quality is monitored by the RFID tag and the RFID reader, when hidden danger of the potential quality problem cannot be found in time when the RFID tag and the RFID reader are in radio frequency communication, an alarm prompt is sent out in time to inform related personnel of the situation, and the RFID tag and the RFID reader are maintained and managed, so that the potential quality problem is found in time in the intelligent manufacturing production management process, the influence of defective products entering the market on the product reputation is effectively avoided, and the occurrence of the situation of causing the potential safety hidden trouble is effectively avoided;

according to the invention, after the high hidden danger signals generated when the RFID tag and the RFID reader-writer carry out radio frequency communication are received, a plurality of radio frequency communication evaluation indexes generated by the analysis unit are obtained in real time for comprehensive analysis, whether accidental abnormality occurs when the RFID tag and the RFID reader-writer carry out radio frequency communication is judged, and when the RFID tag and the RFID reader-writer carry out the accidental hidden danger when the RFID tag and the RFID reader-writer carry out radio frequency communication, no alarm prompt is sent, so that frequent alarm prompt caused by accidental abnormality when the RFID tag and the RFID reader-writer carry out radio frequency communication is avoided, the accuracy of monitoring the radio frequency communication process of the RFID tag and the RFID reader-writer is improved, and the high efficiency of the product quality control process is ensured.

Drawings

For a clearer description of embodiments of the present application or of the solutions of the prior art, the drawings that are needed in the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments described in the present invention, and that other drawings may be obtained according to these drawings for a person skilled in the art.

FIG. 1 is a flow chart of a method of the present invention for intelligent manufacturing management system and method.

FIG. 2 is a schematic block diagram of an intelligent manufacturing management system and method according to the present invention.

Detailed Description

Example embodiments will now be described more fully with reference to the accompanying drawings. However, the exemplary embodiments may be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these example embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the example embodiments to those skilled in the art.

The invention provides an intelligent manufacturing production management method as shown in fig. 1, which comprises the following steps:

This process may be continuous, ensuring that each item is inspected throughout the production process;

such data may include information related to quality, such as production parameters, quality inspection results, specifications, etc.;

once the RFID reader-writer sends a radio frequency signal to the RFID tag and activates the RFID tag, the RFID tag and the RFID reader-writer can continue to carry out radio frequency communication so as to read and write data, and the radio frequency communication is a main means for realizing data transmission in an RFID system;

the radio frequency quality information when the RFID tag and the RFID reader-writer perform radio frequency communication includes a radio frequency offset coefficient and a radio frequency signal emission intensity variation coefficient, after acquisition, the radio frequency offset coefficient and the radio frequency signal emission intensity variation coefficient are respectively calibrated as ζζ ^PY And lambda ^QD ；

When used for quality control by RFID technology, frequency offset refers to the difference between the actual frequency of a radio frequency signal and its original design or desired frequency, RFID technology typically communicates over a particular radio frequency band, and frequency offset may lead to inaccuracy and instability of the communication;

The deviation between the actual receiving frequency and the expected communication frequency when the RFID tag receives the radio frequency signal, and the deviation between the actual transmitting frequency and the expected communication frequency when the RFID reader transmits the radio frequency signal may cause potential quality problems, which may be difficult to find in time, as will be described in detail below:

accuracy of data transmission: in an RFID system, communication between an RFID tag and an RFID reader-writer depends on accurate transmission of radio frequency signals, frequency deviation can cause signal distortion, data loss or errors, identification and data reading of the RFID tag are affected, key information related to products can not be accurately acquired, and therefore accuracy of quality control is affected;

quality data is inaccurate: if the receiving frequency of the RFID tag or the transmitting frequency of the RFID reader-writer has deviation, the RFID tag can not be activated or read normally, and a quality control system can not acquire accurate product information, so that quality problems of products can not be found in time, and the defective rate is increased;

traceability difficulties: when quality problems occur, it is crucial to trace the manufacturing history of the product, and if the receiving frequency of the RFID tag deviates from the transmitting frequency of the RFID reader, the key information stored on the RFID tag may be inaccurate, so that the tracing system cannot trace the manufacturing process of the product accurately;

Consistency problem: in a production line or a production batch, the frequencies between the RFID tag and the RFID reader should be consistent, and if there is a frequency deviation, the RFID tag of part of the products may not be correctly read, resulting in consistency problems;

system integration problem: RFID systems are typically part of an overall intelligent manufacturing production management system, integrated with other production management modules (e.g., ERP systems, MES systems), frequency deviation can cause system integration problems such that RFID systems do not work well with other modules;

therefore, the radio frequency signal condition when the RFID tag and the RFID reader-writer carry out radio frequency communication is monitored, and the hidden trouble that the potential quality problem is difficult to discover in time can be found due to the fact that the actual receiving frequency of the RFID tag receives the radio frequency signal and the expected communication frequency deviate and the actual transmitting frequency of the RFID reader-writer transmits the radio frequency signal deviate from the expected communication frequency.

The logic for obtaining the radio frequency offset coefficient is as follows:

It should be noted that, the manufacturer of the RFID device will typically explicitly indicate the supported radio frequency communication frequencies in its product specification list and technical documents, which may be contained in a product manual, technical specification list or in an online document;

s102, acquiring a plurality of actual transmitting frequencies transmitted by the RFID reader and a plurality of actual receiving frequencies received by the RFID tag in Q time when the RFID tag and the RFID reader carry out radio frequency communication, and respectively calibrating the actual transmitting frequencies and the actual receiving frequencies as zeta ^PY _x And xi ^PY _y X represents the number of a plurality of actual transmitting frequencies transmitted by the RFID reader-writer in Q time when the RFID tag and the RFID reader-writer carry out radio frequency communication, x=1, 2, 3, 4, … …, a is a positive integer, and y represents the feeding of the RFID tag and the RFID reader-writerA number of a plurality of actual receiving frequencies received by the RFID tag in Q time during line radio frequency communication, wherein y=1, 2, 3, 4, … … and b, and b is a positive integer;

it should be noted that, the radio frequency spectrum analyzer is a professional testing device for measuring and analyzing the spectrum characteristics of radio frequency signals, and through the antenna connected to the RFID reader and the RFID tag, the spectrum analyzer can capture and display the actual transmitting frequency and the actual receiving frequency, which helps to ensure that the device works in the designated frequency range and detect any possible frequency interference;

wherein a represents the total number of actual transmitting frequencies transmitted by the RFID reader-writer in Q time when the RFID tag and the RFID reader-writer perform radio frequency communication, and b represents the total number of actual receiving frequencies received by the RFID tag in Q time when the RFID tag and the RFID reader-writer perform radio frequency communication;

according to the calculation expression of the radio frequency offset coefficient, the larger the expression value of the radio frequency offset coefficient generated in the Q time when the RFID tag and the RFID reader-writer carry out radio frequency communication is, the larger the hidden danger that the potential quality problem is difficult to find in time in the intelligent manufacturing production management process is indicated, and the smaller the hidden danger that the potential quality problem is difficult to find in time in the intelligent manufacturing production management process is indicated otherwise.

The RFID system comprises an RFID tag and an RFID reader-writer, and the identification and tracking of the object are realized through radio frequency communication, however, if the radio frequency signal emission intensity of the RFID reader-writer is unstable, certain potential quality problems and hidden dangers can be caused, and the specific reasons are as follows:

tag reading problem: RFID tags are often placed on articles or products on a production line for identification and tracking, and if the signal emission intensity of the RFID reader is unstable, the RFID tag may not be stably read, which may cause identification errors, misreading or misreading, thereby causing confusion and errors in the production process;

Data inaccuracy: because of the instability of the radio frequency signal intensity, the RFID reader-writer may receive different signal intensities at different time points and positions, which may lead to inconsistent data, so that the position and state of the article cannot be accurately tracked in the production management process, which is important for monitoring and managing the production process in real time;

data inaccuracy: the unstable radio frequency signal may cause errors in the read RFID tag data, and in the quality control and production process, if the data is inaccurate, erroneous judgment of product information may be caused, so that potential quality problems are ignored or wrongly handled;

the reader-writer is unstable in communication with the tag: in an RFID system, a radio frequency signal of an RFID reader-writer is responsible for activating and communicating with an RFID tag, if the radio frequency signal strength of the RFID reader-writer is unstable, the communication with the RFID tag may be unstable, which may be manifested as the problems of failure in activating the RFID tag, error or loss of data reading, etc., so that the production management process cannot accurately acquire product information;

therefore, when the RFID tag and the RFID reader-writer are subjected to radio frequency communication, the radio frequency signal emission intensity condition of the RFID reader-writer is monitored, and the hidden trouble that the potential quality problem is difficult to discover in time due to the fact that the radio frequency signal emission intensity of the RFID reader-writer is unstable can be discovered in time.

The logic for acquiring the radio frequency signal emission intensity variation coefficient is as follows:

the radio frequency power meter is a device specially used for measuring the power of radio frequency signals, can be connected to an antenna port of the RFID reader-writer, measures the power intensity of the radio frequency signals, and can acquire the intensity of the radio frequency signals transmitted by the RFID reader-writer in real time by measuring at different time points;

wherein c 'represents the total number of the actual radio frequency signal emission intensities acquired in the Q time when the RFID tag and the RFID reader-writer perform radio frequency communication, and c' =c;

according to the calculation expression of the radio frequency offset coefficient, the larger the expression value of the radio frequency signal emission intensity variation coefficient generated in the Q time when the radio frequency communication is carried out by the RFID tag and the RFID reader-writer, the larger the hidden danger that the potential quality problem is difficult to find in time in the intelligent manufacturing production management process is indicated, and the smaller the hidden danger that the potential quality problem is difficult to find in time in the intelligent manufacturing production management process is indicated.

The radio frequency identification data interaction information during radio frequency communication between the RFID tag and the RFID reader comprises tag data transmission abnormal hiding coefficients, and after acquisition, the tag data transmission abnormal hiding coefficients are calibrated to be phi ^CS ；

The tag data transmission when the RFID tag and the RFID reader perform radio frequency communication refers to the data transmission condition when the RFID tag transmits the data stored in the tag to the RFID reader, and when the RFID tag transmits the data to the RFID reader, the abnormal data transmission rate may cause that the potential quality problem in the intelligent manufacturing and production management process is difficult to discover in time, which is described in detail below:

The real-time requirements are not satisfied: in intelligent manufacturing, many production processes have high requirements on real-time performance, if the data transmission rate of the RFID tag is abnormal, the RFID reader-writer can not acquire the latest information of the article in time, and the monitoring and control system can not reflect the state of the production site in real time, so that potential quality problems in the intelligent manufacturing production management process are omitted;

the production flow is inconsistent: the abnormal data transmission rate may cause inconsistent production data in different stages, and if the abnormal data transmission rate in a certain stage may cause that the article information in the stage cannot be stably transmitted to the production management system, thereby causing inconsistent information, which may cause misoperation, confusion of the material flow or failure of quality control;

quality control loss: the abnormal data transmission rate may cause that the quality control system cannot acquire and analyze key data in time, which may cause quality control failure, and potential problems in the production process cannot be intervened in time, so that quality problems are accumulated;

it is difficult to find potential problems: since RFID technology is commonly used for automation and real-time monitoring, data transmission rate anomalies may result in potential problems not being easily found in time, which may create unstable effects in intelligent manufacturing production management, which may not be easily perceived until actual errors occur;

Therefore, the data transmission condition during radio frequency communication between the RFID tag and the RFID reader is monitored, and the hidden trouble problem that the potential quality problem is difficult to discover in time due to abnormal data transmission can be discovered in time.

The logic for acquiring the tag data transmission abnormal concealment coefficients is as follows:

s301, acquiring an RFID tag and an RFID reader-writer for radio frequency communicationThe actual data transmission rate of different time periods (the time periods in the time period can be all equal or all unequal or the two can be crossed), and the actual data transmission rate is calibrated to be phi ^CS _k K represents the number of the actual data transmission rate of different time periods in Q time when the RFID tag and the RFID reader-writer carry out radio frequency communication, and k=1, 2, 3, 4, … … and d are positive integers;

it should be noted that, the RFID device generally provides interfaces for monitoring performance, and through these interfaces, real-time data transmission rate information can be obtained;

it should be noted that, performing system performance test in an actual production environment, simulating different workloads and environmental conditions, collecting actual data transmission rates through the test to understand performance of the system under different conditions, where the test results can help to determine an appropriate data transmission rate reference value, where the data transmission rate reference value when the RFID tag and the RFID reader perform radio frequency communication is not specifically limited, and can be adjusted according to the performance test results in the actual environment;

wherein d represents radio frequency communication between the RFID tag and the RFID reader-writerTotal number of actual data transmission rates acquired at time Q, ψ ^CS _{Reference to} Representing a data transmission rate reference value;

according to the calculation expression of the tag data transmission abnormal hidden coefficient, the larger the expression value of the tag data transmission abnormal hidden coefficient generated in the Q time when the RFID tag and the RFID reader-writer carry out radio frequency communication is, the larger the hidden danger that the potential quality problem is difficult to find in time in the intelligent manufacturing production management process is indicated, and otherwise, the smaller the hidden danger that the potential quality problem is difficult to find in time in the intelligent manufacturing production management process is indicated.

the analysis unit is used for carrying out radio frequency communication on the RFID tag and the RFID reader-writer to obtain a processed radio frequency offset coefficient xi and xi ^PY Coefficient of variation lambda of emission intensity of radio frequency signal ^QD Tag data transmission anomaly concealment coefficient ψ ^CS Establishing an intelligent evaluation model to generate a radio frequency communication evaluation index TX _{Index number} The formula according to is:

wherein w1, w2 and w3 are radio frequency offset coefficients ζ and ζ respectively ^PY Coefficient of variation lambda of emission intensity of radio frequency signal ^QD Tag data transmission anomaly concealment coefficient ψ ^CS W1, w2, w3 are all greater than 0;

the calculation formula shows that the smaller the radio frequency offset coefficient generated in the Q time when the RFID tag and the RFID reader-writer carry out radio frequency communication, the smaller the radio frequency signal emission intensity variation coefficient and the smaller the tag data transmission abnormal hiding coefficient are, namely the radio frequency communication evaluation index TX generated in the Q time when the RFID tag and the RFID reader-writer carry out radio frequency communication _{Index number} The smaller the expression value of (C) indicates the intelligent manufacturing production management process The smaller the hidden danger that the potential quality problem is difficult to find in time is, otherwise, the larger the hidden danger that the potential quality problem is difficult to find in time is shown in the intelligent manufacturing production management process;

the Q time is selected as a short time period, the time in the time period is not particularly limited, and the time period can be set according to practical conditions, so that the radio frequency communication conditions in the Q time when the RFID tag and the RFID reader-writer carry out radio frequency communication are monitored, and the radio frequency communication conditions in different time periods (in the Q time) when the RFID tag and the RFID reader-writer carry out radio frequency communication are monitored in real time in the mode.

the sensing unit compares the radio frequency communication evaluation index generated when the RFID tag and the RFID reader-writer carry out radio frequency communication with a preset radio frequency communication evaluation index reference threshold value, and the comparison and analysis result is as follows:

if the radio frequency communication evaluation index is smaller than or equal to the radio frequency communication evaluation index reference threshold, generating a low hidden danger signal and transmitting the signal to a hidden danger type analysis unit;

If the radio frequency communication evaluation index is larger than the radio frequency communication evaluation index reference threshold, a high hidden danger signal is generated and transmitted to the hidden danger type analysis unit.

after the hidden danger type analysis unit receives high hidden danger signals generated when the RFID tag and the RFID reader-writer carry out radio frequency communication, a plurality of radio frequency communication evaluation indexes generated by the analysis unit are obtained in real time, and an analysis set is calibrated as I, so that I= { TX _{Index numberf} F represents the number of radio frequency communication evaluation indexes in the analysis set, f=1, 2, 3, 4, … …, u being a positive integer;

If the average value of the radio frequency communication evaluation indexes is larger than or equal to the reference threshold value of the radio frequency communication evaluation indexes, or the average value of the radio frequency communication evaluation indexes is smaller than the reference threshold value of the radio frequency communication evaluation indexes and the standard deviation of the radio frequency communication evaluation indexes is larger than or equal to the reference threshold value of the standard deviation, generating a non-accidental hidden danger signal, transmitting the signal to an alarm unit, sending an alarm prompt to the non-accidental hidden danger signal through the alarm unit, and when the RFID tag and the RFID reader-writer generate the non-accidental hidden danger signal during radio frequency communication, indicating that hidden danger that potential quality problems are difficult to find in time exists in the intelligent manufacturing production management process does exist when the RFID tag and the RFID reader-writer perform radio frequency communication, and the RFID tag and the RFID reader-writer need to be maintained and managed in time, so that the potential quality problems in the intelligent manufacturing production management process are ensured to be found in time;

if the average value of the radio frequency communication evaluation indexes is smaller than the reference threshold value of the radio frequency communication evaluation indexes and the standard deviation of the radio frequency communication evaluation indexes is smaller than the reference threshold value of the standard deviation, an accidental hidden danger signal is generated and transmitted to the alarm unit, the alarm unit does not send out alarm prompt to the accidental hidden danger signal, when the RFID tag and the RFID reader-writer carry out radio frequency communication, the accidental hidden danger is indicated when the RFID tag and the RFID reader-writer carry out radio frequency communication, and at the moment, the RFID tag and the RFID reader-writer do not need to be processed.

S7, transmitting the data read from the RFID tag to a central data management system in real time, performing quality control and verification after the system receives the data, and sending an alarm prompt through the system to inform related personnel if the quality control finds abnormality;

the RFID reader transmits the data read from the RFID tag to a central data management system, which may be a cloud system, a local server or other data processing platform, and the central data management system performs quality control and verification, which may involve comparison with product specifications, analysis of historical quality inspection data, etc., and the system determines whether the product meets quality requirements according to preset criteria, and when the system issues an alarm, this may trigger a series of measures, such as production halt, product recall, rework, etc., to ensure that the problem is handled in time.

The invention provides an intelligent manufacturing production management system as shown in fig. 2, which comprises a radio frequency signal activation module, a data reading module, an information acquisition unit, an analysis unit, a perception unit, a hidden danger type analysis unit, an alarm unit and a quality control and verification module;

The quality control and verification module is used for transmitting the data read from the RFID tag to the central data management system in real time, carrying out quality control and verification after the system receives the data, and sending an alarm prompt through the system to inform related personnel if the quality control finds abnormality;

the embodiment of the invention provides an intelligent manufacturing and production management method, which is realized by the intelligent manufacturing and production management system, and the specific method and flow of the intelligent manufacturing and production management system are detailed in the embodiment of the intelligent manufacturing and production management method, and are not repeated here.

The above formulas are all formulas with dimensions removed and numerical values calculated, the formulas are formulas with a large amount of data collected for software simulation to obtain the latest real situation, and preset parameters in the formulas are set by those skilled in the art according to the actual situation.

While certain exemplary embodiments of the present invention have been described above by way of illustration only, it will be apparent to those of ordinary skill in the art that modifications may be made to the described embodiments in various different ways without departing from the spirit and scope of the invention. Accordingly, the drawings and description are to be regarded as illustrative in nature and not as restrictive of the scope of the invention, which is defined by the appended claims.

It is noted that relational terms such as first and second, and the like, if any, are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises an element.

It should be understood that, in various embodiments of the present application, the sequence numbers of the foregoing processes do not mean the order of execution, and the order of execution of the processes should be determined by the functions and internal logic thereof, and should not constitute any limitation on the implementation process of the embodiments of the present application.

Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.

It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.

In the several embodiments provided in this application, it should be understood that the disclosed systems and methods may be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.

The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.

The foregoing is merely specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily think about changes or substitutions within the technical scope of the present application, and the changes and substitutions are intended to be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims

1. An intelligent manufacturing production management method is characterized by comprising the following steps:

2. The intelligent manufacturing production management method according to claim 1, wherein the radio frequency quality information when the RFID tag and the RFID reader-writer perform radio frequency communication comprises a radio frequency offset coefficient and a radio frequency signal emission intensity variation coefficient, the radio frequency identification data interaction information when the RFID tag and the RFID reader-writer perform radio frequency communication comprises a tag data transmission abnormal hiding coefficient, and after acquisition, the radio frequency offset coefficient and the radio frequency signal emission intensity variation coefficient are respectively calibrated as ζζ ^PY And lambda ^QD Marking the abnormal hiding coefficient of the tag data transmission as psi ^CS 。

3. The intelligent manufacturing and production management method according to claim 2, wherein the logic for acquiring the rf frequency offset coefficient is as follows:

S102, acquiring a plurality of actual transmitting frequencies transmitted by the RFID reader and a plurality of actual receiving frequencies received by the RFID tag in Q time when the RFID tag and the RFID reader carry out radio frequency communication, and respectively calibrating the actual transmitting frequencies and the actual receiving frequencies as zeta ^PY _x And xi ^PY _y X represents the number of a plurality of actual transmitting frequencies transmitted by the RFID reader-writer in Q time when the RFID tag and the RFID reader-writer perform radio frequency communication, x=1, 2, 3, 4, &..the first and a, a are positive integers, y represents the number of a plurality of actual receiving frequencies received by the RFID tag in Q time when the RFID tag and the RFID reader-writer perform radio frequency communication, y=1, 2, 3, 4, &..the second and b are positive integers;

4. The intelligent manufacturing and production management method according to claim 3, wherein the logic for acquiring the radio frequency signal emission intensity variation coefficient is as follows:

s201, acquiring actual radio frequency signal emission intensity of radio frequency signals emitted by the RFID reader-writer at different moments in Q time when the RFID tag and the RFID reader-writer carry out radio frequency communication, and calibrating the actual radio frequency signal emission intensity as lambda ^QD _v V represents the number of the actual radio frequency signal emission intensity of the radio frequency signal emitted by the RFID reader-writer at different moments in time Q when the RFID tag and the RFID reader-writer perform radio frequency communication, v=1, 2, 3, 4, and c is a positive integer;

s202, establishing a data set of actual radio frequency signal emission intensity acquired in Q time when radio frequency communication is carried out between the RFID tag and the RFID reader, sequencing the actual radio frequency signal emission intensity in the data set according to the sequence, and recalibrating the actual radio frequency signal emission intensity after sequencing to lambda ^QD _v′ V 'represents the number of actual radio frequency signal transmission intensities after re-ordering within the data set, v' =1, 2, 3, 4,..the term "c ', c' being a positive integer;

5. The intelligent manufacturing production management method according to claim 4, wherein the logic for acquiring the tag data transmission anomaly concealment coefficients is as follows:

S301, acquiring actual data transmission rates of different time periods in Q time when the RFID tag and the RFID reader-writer carry out radio frequency communication, and calibrating the actual data transmission rates to be phi ^CS _k K represents the number of actual data transmission rates of different periods in Q time when the RFID tag and the RFID reader perform radio frequency communication, k=1, 2, 3, 4, &..the number of d, d being a positive integer;

6. The intelligent manufacturing and production management method according to claim 5, wherein the processed radio frequency offset coefficient ζζ is when the radio frequency communication is performed between the RFID tag and the RFID reader ^PY Coefficient of variation lambda of emission intensity of radio frequency signal ^QD Tag data transmission anomaly concealment coefficient ψ ^Cs Establishing an intelligent evaluation model to generate a jetFrequency communication evaluation index TX _{Index number} The formula according to is:

7. The intelligent manufacturing production management method according to claim 6, wherein a radio frequency communication evaluation index generated when the RFID tag and the RFID reader perform radio frequency communication is compared with a preset radio frequency communication evaluation index reference threshold value, and the result of the comparison analysis is as follows:

8. The intelligent manufacturing production management method according to claim 7, wherein after receiving a high hidden danger signal generated when the RFID tag and the RFID reader perform radio frequency communication, a plurality of radio frequency communication evaluation indexes generated when the RFID tag and the RFID reader perform radio frequency communication are obtained in real time, and an analysis set is calibrated as I, and then i= { TX _{Index f} F represents the number of radio frequency communication evaluation indexes in the analysis set, f=1, 2, 3, 4, … …, u being a positive integer;

9. An intelligent manufacturing production management system for realizing the intelligent manufacturing production management method according to any one of the claims 1-8, which is characterized by comprising a radio frequency signal activation module, a data reading module, an information acquisition unit, an analysis unit, a perception unit, a hidden danger type analysis unit, an alarm unit and a quality control and verification module;