Turnover disc RFID signal identification method and production equipment data packet processing method

Abstract

The invention belongs to the technical field of electronic equipment, and particularly discloses a turnover disc RFID signal identification method and a production equipment data packet processing method.The method comprises the steps that in the optical cable production process of optical cable production equipment, signal time sequences of RFID tags of all turnover discs in the area where the optical cable production equipment is located are read, the signal time sequence is used for representing the change of the signal intensity of the RFID tag along with time, a turnover disc loaded by the optical cable production equipment is in a rotating state in the optical cable production process, and a turnover disc near the optical cable production equipment is in a static state; and based on the signal time sequence of the RFID tag of each turnover disc, identifying the RFID tag of the turnover disc loaded by the optical cable production equipment by analyzing the state of the turnover disc. According to the invention, the RFID tag of the turnover disc loaded by the optical cable production equipment can be accurately identified.

Description

Technical Field

[0001] The present application belongs to the technical field of electronic equipment, and more specifically, relates to a method for identifying RFID signals of a turntable and a method for processing data packets of production equipment. Background Art

[0002] The optical cable production equipment is loaded with a turnover tray. During the production process, the optical cable production equipment will wind the produced optical cable or optical cable semi-finished product on the turnover tray. Generally, in order to electronically mark the turnover tray, an RFID tag will be installed on the turnover tray, and the RFID tag stores the tray number information of the turnover tray. During the production process, the tray number of the turnover tray loaded by the optical cable production equipment can be identified by an RFID reader arranged near the optical cable production equipment. However, other turnover trays are generally placed near the optical cable production equipment. When the RFID reader reads the tray number of the turnover tray loaded by the optical cable production equipment, the RFID tags of other turnover trays will cause interference. Summary of the invention

[0003] In view of the defects of the prior art, the purpose of the present application is to accurately identify the RFID tags of the turntables loaded on the optical cable production equipment.

[0004] To achieve the above objectives, in a first aspect, the present application provides a method for identifying a RFID signal of a turntable, comprising: During the process of producing optical cables by the optical cable production equipment, the signal time series of the RFID tags of each turnover plate in the area where the optical cable production equipment is located is read. The signal time series is used to characterize the change of the signal strength of the RFID tag over time. During the process of producing optical cables, the turnover plate loaded by the optical cable production equipment is in a rotating state, and the turnover plate near the optical cable production equipment is in a stationary state; Based on the signal time series of the RFID tag of each turnover tray, the RFID tag of the turnover tray loaded on the optical cable production equipment is identified by analyzing the state of the turnover tray.

[0005] In a possible implementation, analyzing the state of the turntable includes: Based on the signal time series of the RFID tag of the turnover tray, the standard deviation of the signal strength corresponding to the RFID tag of the turnover tray is determined by statistical standard deviation; Based on the standard deviation of the signal strength corresponding to the RFID tag of the turnover tray, the status of the corresponding turnover tray in the process of producing optical cables is analyzed.

[0006] In a possible implementation, based on the standard deviation of the signal strength corresponding to the RFID tag of the turntable, the state of the corresponding turntable in the process of producing the optical cable is analyzed, including: Compare the standard deviation threshold with the standard deviation of the signal strength corresponding to the RFID tag of the turntable; When the standard deviation of the signal strength corresponding to the RFID tag of the turntable is greater than the standard deviation threshold, it is determined that the corresponding turntable is in a rotating state during the production of the optical cable; Or, when the standard deviation of the signal strength corresponding to the RFID tag of the turntable is less than or equal to the standard deviation threshold, it is determined that the corresponding turntable is in a stationary state during the production of the optical cable.

[0007] In a possible implementation, before determining the signal strength standard deviation corresponding to the RFID tag of the turntable by statistically analyzing the signal time series of the RFID tag of the turntable, the method further includes: Based on the total number of reads and the number of times each RFID tag is read, calculate the proportion of reads corresponding to each RFID tag; Based on the reading count ratio threshold and the reading count ratio corresponding to each RFID tag, RFID tags whose reading count ratio is lower than the reading count ratio threshold are filtered out, and the filtered out RFID tags are not used as statistical objects of the standard deviation.

[0008] In a possible implementation, after analyzing the state of the corresponding turntable in the process of producing the optical cable based on the standard deviation of the signal strength corresponding to the RFID tag of the turntable, the method further includes: If the turntable that is rotating during the production of the optical cable is not found, a fault prompt message is sent.

[0009] In one possible implementation, the target output power of an RFID reader for reading an RFID tag is determined by the following steps: Gradually reduce the output power of the RFID reader until the proportion of the number of times the RFID tags on the turntable loaded by the optical cable production equipment are read is reduced to a preset indicator value; When the proportion of the number of times the RFID tags of the turntables loaded on the optical cable production equipment are read is reduced to a preset index value, the output power of the RFID reader is determined as the target output power.

[0010] In a second aspect, the present application provides a method for processing data packets of a production device, comprising: Based on the RFID tag of the turnover tray loaded by the optical cable production equipment, the contract information corresponding to the tray number of the turnover tray loaded by the optical cable production equipment is determined, the RFID tag of the turnover tray loaded by the optical cable production equipment is determined by applying the RFID signal recognition method of any one of claims 1-6, the RFID tag stores the tray number of the corresponding turnover tray, and the contract information is associated with the tray number of the turnover tray; Correlate the contract information with the data package provided by the cable manufacturing equipment.

[0011] In a possible implementation, after associating the contract information with the data packet provided by the optical cable production equipment, the method further includes: Compare the difference between the production parameter indicators in the contract information and the corresponding actual production data in the data package; When the difference exceeds the difference threshold, an alarm message is sent.

[0012] In a third aspect, the present application provides a turntable RFID signal recognition device, comprising: A reading module is used to read the signal time series of the RFID tags of each turnover plate in the area where the optical cable production equipment is located during the process of producing optical cables by the optical cable production equipment. The signal time series is used to characterize the change of the signal strength of the RFID tag over time. During the process of producing optical cables, the turnover plate loaded by the optical cable production equipment is in a rotating state, and the turnover plate near the optical cable production equipment is in a stationary state; The identification module is used to identify the RFID tags of the turntables loaded on the optical cable production equipment by analyzing the states of the turntables based on the signal time series of the RFID tags of each turntable.

[0013] In a fourth aspect, the present application provides an electronic device, comprising: at least one memory for storing programs; and at least one processor for executing the programs stored in the memory. When the program stored in the memory is executed, the processor is used to execute the method described in the first aspect or any possible implementation of the first aspect, or to execute the method described in the second aspect or any possible implementation of the second aspect.

[0014] In general, the above technical solutions conceived by this application have the following beneficial effects compared with the prior art: (1) During the process of producing optical cables, the turntables loaded by the optical cable production equipment are in a rotating state, while the turntables near the optical cable production equipment are in a stationary state. Based on this situation, by reading the signal time series of the RFID tags of each turntable in the area where the optical cable production equipment is located during the process of the optical cable production equipment producing optical cables, the signal time series of the RFID tags of each turntable can be analyzed to determine whether each turntable is in a rotating state or a stationary state during the process of producing optical cables. Then, the turntables in a rotating state during the process of producing optical cables can be screened out. The turntables in a rotating state are the turntables loaded by the optical cable production equipment, and the RFID tags of the turntables loaded by the optical cable production equipment can be accurately identified.

[0015] (2) Through the turnover tray RFID signal recognition method, the RFID tag of the turnover tray loaded on the optical cable production equipment can be accurately determined. The RFID tag stores the tray number of the corresponding turnover tray. Based on the RFID tag of the turnover tray loaded on the optical cable production equipment, the tray number of the turnover tray loaded on the optical cable production equipment can be determined, and the corresponding contract information can be found based on the tray number. Then, the contract information is automatically associated with the data packet provided by the optical cable production equipment, which can effectively improve work efficiency and accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a flow chart of the RFID signal recognition method for the turntable provided in the embodiment of the present application; Figure 2 is a schematic diagram of a turntable with an RFID tag installed provided in an embodiment of the present application; Figure 3 It is a schematic diagram of reading the RFID tag of the turntable by the RFID reader provided in an embodiment of the present application; Figure 4 is a signal strength sequence diagram provided in an embodiment of the present application; Figure 5 It is a flowchart of a method for processing data packets of a production device provided in an embodiment of the present application; Figure 6 It is a schematic diagram of a process of automatically hanging and picking up product equipment data packets based on RFID rotation signals provided in an embodiment of the present application; Figure 7 It is a schematic diagram of a process for confirming the disk number corresponding to a data packet provided in an embodiment of the present application; Figure 8 It is a schematic diagram of a process for comparing production parameter indicators with actual production data provided in an embodiment of the present application; Fig. 9 It is a structural schematic diagram of the RFID signal recognition device for the turntable provided in the embodiment of the present application; Fig.10 It is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0017] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0018] In the embodiments of the present application, words such as "exemplary" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "exemplary" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary" or "for example" is intended to present related concepts in a specific way.

[0019] In the description of the embodiments of the present application, unless otherwise specified, "multiple" means two or more than two. For example, multiple processing units refer to two or more processing units, etc.; multiple elements refer to two or more elements, etc.

[0020] The embodiments of the present application are described below in conjunction with the drawings in the embodiments of the present application.

[0021] Figure 1 is a flow chart of the RFID signal recognition method for the turntable provided in the embodiment of the present application, such as Figure 1 As shown, the method includes the following steps S101 and S102.

[0022] Step S101, during the process of producing optical cables by the optical cable production equipment, the signal time series of the RFID tags of each turnover plate in the area where the optical cable production equipment is located is read, and the signal time series is used to characterize the change of the signal strength of the RFID tag over time. During the process of producing optical cables, the turnover plate loaded by the optical cable production equipment is in a rotating state, and the turnover plate near the optical cable production equipment is in a stationary state; Step S102, based on the signal time series of the RFID tags of each turnover tray, the RFID tags of the turnover trays loaded on the optical cable production equipment are identified by analyzing the status of the turnover trays.

[0023] Figure 2 is a schematic diagram of a turntable provided in an embodiment of the present application and equipped with an RFID tag, such as Figure 2 As shown, in the production process of the optical cable process, a turntable is used to carry the semi-finished products of the process. The turntable has been installed with an RFID tag, and the signal value of the RFID tag (the value stored in the RFID tag) is consistent with the disk number marked on the turntable.

[0024] Figure 3 Schematic diagram of reading the RFID tag of the turntable by the RFID reader provided in the embodiment of the present application, such as Figure 3As shown, the optical cable production equipment is loaded with a turnover tray. During the production process, the optical cable production equipment will wind the produced optical cable or optical cable semi-finished product on the turnover tray. During the production process, the RFID reader arranged near the optical cable production equipment can identify the tray number of the turnover tray loaded by the optical cable production equipment. However, other turnover trays are generally placed near the optical cable production equipment. When the RFID reader reads the tray number of the turnover tray loaded by the optical cable production equipment, the RFID tags of other turnover trays will cause interference.

[0025] It can be understood that during the process of producing optical cables, the turntables loaded by the optical cable production equipment are in a rotating state, and the turntables near the optical cable production equipment are in a stationary state. Based on this situation, by reading the signal time series of the RFID tags of each turntable in the area where the optical cable production equipment is located during the process of producing optical cables by the optical cable production equipment, the signal time series of the RFID tags of each turntable can be analyzed to determine whether each turntable is in a rotating state or a stationary state during the process of producing optical cables, and then the turntables in a rotating state during the process of producing optical cables can be screened out. The turntable in a rotating state is the turntable loaded by the optical cable production equipment, and the RFID tags of the turntables loaded by the optical cable production equipment can be accurately identified.

[0026] For the above analysis of the state of the turntable, any of the following implementation methods can be used: (1) using machine learning to analyze the state of the corresponding turntable during the production of the optical cable; (2) using statistical standard deviation of signal strength to analyze the state of the corresponding turntable during the production of the optical cable. The following is a detailed explanation.

[0027] In a possible implementation, the above-mentioned analyzing the state of the turntable includes: Input the signal time series of the RFID tag of the turntable into the deep learning model, and obtain the state category (rotation state or stationary state) output by the deep learning model; Among them, the deep learning model is used to classify the status of the turnover tray based on the signal time series of the RFID tag of the turnover tray. The deep learning model can be obtained through supervised training based on the signal time series data set. The signal time series data set can be collected during the process of producing optical cables by optical cable production equipment. The signal time series samples of the RFID tag of the turnover tray are collected and the samples are manually marked (by manually marking the status category corresponding to the sample).

[0028] In a possible implementation, the above-mentioned analyzing the state of the turntable includes: Based on the signal time series of the RFID tag of the turnover tray, the standard deviation of the signal strength corresponding to the RFID tag of the turnover tray is determined by statistical standard deviation; Based on the standard deviation of the signal strength corresponding to the RFID tag of the turnover tray, the status of the corresponding turnover tray in the process of producing optical cables is analyzed.

[0029] Figure 4 is a signal strength sequence diagram provided in an embodiment of the present application, such as Figure 4 As shown, a time series diagram is drawn for the rotating RFID signals and the stationary RFID signals collected every second (the collected signals are properly preprocessed and amplified). In this signal strength sequence diagram, the signal strength collection frequency is once per second. The blue curve is the signal strength sequence curve diagram of the turntable when it is in a working (rotating) state under the above collection frequency. The red curve is the signal strength sequence curve diagram of the turntable when it is in a stationary state under the above collection frequency.

[0030] By comparison, it is easy to find that in the rotating state, since the distance is in a state of asymptotically approaching and gradually moving away in an endless cycle, the signal strength is also in a periodic change (the standard variance of the signal strength is large); correspondingly, in the static state, since the distance does not change, the signal strength is basically in a static horizontal state, and the periodic change is not obvious (the standard variance of the signal strength is small). Therefore, the standard variance is used to perform statistical analysis on this time series data.

[0031] The standard deviation is a measure of the degree of dispersion of the entire population. It represents the average distance between each data point in the population and the overall mean.

[0032] Calculation formula: The calculation formula for standard deviation is to sum the squares of the difference between each data point and the population mean, and then divide it by the number of data points in the population, N: ; in, is the standard deviation, is each data point, is the population mean, is the number of data points in the population.

[0033] The corresponding result table for this comparison data sequence is as follows: Table 1 Standard deviation calculation results

[0034] According to the actual production situation, based on the relationship between production speed and production length, it is concluded through sampling analysis and calculation that a suitable standard deviation threshold (for example, a threshold between 0.836 and 6.4701) can be used to distinguish between RFID signals in rotating and stationary conditions. Therefore, by setting the threshold, it is possible to confirm whether the signal is rotating, thereby more accurately locking the RFID signal in the rotating state and eliminating signal interference in the static state, thereby accurately identifying the RFID tags of the turntables loaded on the optical cable production equipment with low cost investment.

[0035] In a possible implementation, the signal strength standard deviation corresponding to the RFID tag based on the turnover tray is analyzed to determine the state of the corresponding turnover tray during the production of the optical cable, including: Compare the standard deviation threshold with the standard deviation of the signal strength corresponding to the RFID tag of the turntable; When the standard deviation of the signal strength corresponding to the RFID tag of the turntable is greater than the standard deviation threshold, it is determined that the corresponding turntable is in a rotating state during the production of the optical cable; Or, when the standard deviation of the signal strength corresponding to the RFID tag of the turntable is less than or equal to the standard deviation threshold, it is determined that the corresponding turntable is in a stationary state during the production of the optical cable.

[0036] It should be noted that compared with the state analysis method of statistical signal strength standard deviation, the state analysis method of machine learning has lower algorithm complexity and can achieve comparable recognition accuracy with lower computing resource consumption.

[0037] In a possible implementation, before determining the signal strength standard deviation corresponding to the RFID tag of the turntable based on the signal time series of the RFID tag of the turntable, the method further includes: Based on the total number of reads and the number of times each RFID tag is read, calculate the proportion of reads corresponding to each RFID tag; Based on the read count ratio threshold and the read count ratio corresponding to each RFID tag, RFID tags whose read count ratio is lower than the read count ratio threshold are filtered out (the turntable corresponding to the filtered out RFID tags is in a stationary state during the optical cable production process), and the filtered out RFID tags are not used as statistical objects for standard deviation.

[0038] Here we explain the proportion of read times. Assume that a total of N read operations are performed in the process of producing optical cables by the optical cable production equipment. One read operation can read the signal of one RFID tag. , Indicates the number of RFID tags read. express RFID tags The number of times an RFID tag is read. In this case, The proportion of read times corresponding to RFID tags is .

[0039] It is understandable that the RFID reader (device for reading RFID tags) will be placed near the turntable loaded by the optical cable production equipment. During the reading operation performed by the RFID reader, the closer the RFID tag is to the RFID reader, the greater the probability of being read by the RFID reader. Since the RFID tag of the turntable loaded by the optical cable production equipment is close to the RFID reader, the proportion of reading times corresponding to the RFID tag of the turntable loaded by the optical cable production equipment will be significantly higher than the proportion of reading times corresponding to the RFID tag at a longer distance (the RFID tag far away from the RFID reader).

[0040] Based on this, a reading frequency ratio threshold can be set. Based on the reading frequency ratio threshold and the reading frequency ratio corresponding to each RFID tag, the RFID tags with a reading frequency ratio lower than the reading frequency ratio threshold are filtered out. The turntable corresponding to the filtered RFID tags is in a static state during the production of optical cables, and the filtered RFID tags are not used as statistical objects for standard deviation. Through this filtering operation, the interference caused by RFID tags at a long distance (RFID tags far away from the RFID reader) can be reduced, and the accuracy of recognition can be improved. In addition, by reducing interference, the amount of calculation of the statistical signal strength standard deviation can be reduced, and the efficiency of analyzing the state of the turntable can be improved.

[0041] In a possible implementation, after analyzing the state of the corresponding turntable in the process of producing the optical cable based on the standard deviation of the signal strength corresponding to the RFID tag of the turntable, the method further includes: If the turntable that is rotating during the production of the optical cable is not found (that is, the RFID tag of the turntable loaded on the optical cable production equipment fails to be identified), a fault prompt message is sent.

[0042] It is understandable that if the RFID tag of the turnover tray loaded on the optical cable production equipment is damaged or falls off, it will lead to failure in identifying the RFID tag of the turnover tray loaded on the optical cable production equipment, and then give fault prompt information to assist production personnel to discover and repair the fault in time.

[0043] In one possible implementation, the target output power of the RFID reader is determined by the following steps: Gradually reduce the output power of the RFID reader until the proportion of the number of times the RFID tags on the turntable loaded by the optical cable production equipment are read is reduced to a preset indicator value; When the proportion of the reading times of the RFID tags on the turntable loaded by the optical cable production equipment is reduced to a preset index value, the output power of the RFID reader is determined as the target output power (the target output power is the power used by the RFID reader during the production of optical cables by the optical cable production equipment).

[0044] It is understandable that the higher the output power of the RFID reader, the larger the range of RFID tags that the RFID reader can read. In order to reduce the interference caused by RFID tags of other turntables (turntables not loaded by optical cable production equipment), the output power of the RFID reader can be appropriately reduced, and the number of readings of the RFID tags of the turntables loaded by the optical cable production equipment can be controlled to maintain at the preset index value, so as to ensure the normal reading of the RFID tags of the turntables loaded by the optical cable production equipment, and at the same time, the interference caused by the RFID tags of other turntables can be minimized to improve the accuracy of identification. In addition, by reducing interference, the amount of calculation of the standard deviation of the statistical signal strength can be reduced, and the efficiency of analyzing the state of the turntable can be improved.

[0045] Therefore, too high power may cause unnecessary interference, while too low power may not cover the required area. Through on-site tuning experiments, the output power of the RFID reader can be adjusted to a suitable value (that is, the preset indicator value mentioned above) to achieve the best reading distance and efficiency.

[0046] It should be noted that when the technical means of "gradually reducing the output power of the RFID reader" is combined with the above-mentioned "filtering out RFID tags whose reading times ratio is lower than the reading times ratio threshold", the preset index value is greater than the reading times ratio threshold to ensure that the RFID tags on the turnover trays loaded on the optical cable production equipment are not filtered out during the filtering process.

[0047] Figure 5 is a flow chart of a method for processing data packets of a production device provided in an embodiment of the present application, such as Figure 5 As shown, the method includes the following steps S201 and S202.

[0048] Step S201, based on the RFID tag of the turnover tray loaded by the optical cable production equipment, determine the contract information corresponding to the tray number of the turnover tray loaded by the optical cable production equipment (the contract information is used to indicate the production index of the optical cable), the RFID tag of the turnover tray loaded by the optical cable production equipment is determined by applying the above-mentioned turnover tray RFID signal recognition method, the RFID tag stores the tray number of the corresponding turnover tray, and the contract information is associated with the tray number of the turnover tray; Step S202, associating the contract information with the data packet provided by the optical cable production equipment.

[0049] It is worth noting that in the prior art, the production management information system (referred to as the production system) stores contract information, and the contract information is associated with the disk number of the turnover disk. The optical cable production equipment will collect the actual production data of the optical cable (such as the actual casing diameter) during the production process, but the actual production data does not include the disk number of the turnover disk, resulting in no direct correlation between the actual production data and the contract information. It is necessary to manually match the contract information with the actual production data provided by the optical cable production equipment, or to repeatedly obtain the actual production data through manual measurement and then associate the actual production data with the contract information, which is inefficient and prone to matching errors.

[0050] The present application uses the above-mentioned turnover tray RFID signal recognition method to accurately determine the RFID tag of the turnover tray loaded on the optical cable production equipment, and the RFID tag stores the tray number of the corresponding turnover tray. Based on the RFID tag of the turnover tray loaded on the optical cable production equipment, the tray number of the turnover tray loaded on the optical cable production equipment can be determined, and the corresponding contract information can be found based on the tray number, and the contract information can be automatically associated with the data packet provided by the optical cable production equipment, which can effectively improve work efficiency and accuracy.

[0051] In a possible implementation, after associating the contract information with the data packet provided by the optical cable production equipment, the method further includes: Compare the difference between the production parameter indicators in the contract information and the corresponding actual production data in the data package; When the difference exceeds the difference threshold, an alarm message is sent.

[0052] Exemplarily, the production parameter indicators in the contract information include an optical cable length indicator and an optical cable casing diameter indicator, and the actual production data in the data packet include an actual optical cable length and an actual optical cable casing diameter.

[0053] The difference between the optical cable length indicator and the actual optical cable length can be compared, and when the difference exceeds a difference threshold, an alarm prompt message is sent.

[0054] The difference between the cable sheath diameter index and the actual cable sheath diameter can be compared, and when the difference exceeds a difference threshold, an alarm prompt message is sent.

[0055] It should be noted that the sleeve diameter is a key parameter in the design and production of optical cables, which affects the protection performance, mechanical strength, cost-effectiveness and environmental adaptability of the optical cable. The sleeve is directly wrapped around the optical fiber, and its diameter determines the degree of protection of the optical fiber. The appropriate sleeve diameter can ensure that the optical fiber has enough space in the optical cable to avoid squeezing and damage; in addition, the diameter and wall thickness of the sleeve jointly determine the lateral pressure resistance of the optical cable. A larger sleeve diameter and appropriate wall thickness can improve the ability of the optical cable to resist lateral pressure, which is crucial for the stability and durability of the optical cable in harsh environments. Therefore, in the production process of optical cables, it is very important to control and monitor the sleeve diameter.

[0056] The present application compares the difference between the optical cable sheath diameter index and the actual optical cable sheath diameter, and can send an alarm prompt message when the difference exceeds a difference threshold, thereby improving the monitoring efficiency of the sheath diameter.

[0057] In addition, by comparing the difference between the optical cable length indicator and the actual optical cable length, the present application can send an alarm prompt message when the difference exceeds a difference threshold, thereby improving the monitoring efficiency of the optical cable length.

[0058] Therefore, it is possible to conduct online data analysis of important performance parameters of optical cables at low cost, discover product problems early, prevent them early, and avoid semi-finished products from flowing into the next process, causing unnecessary raw material investment, labor and equipment costs.

[0059] The following is an illustrative description of the turntable RFID signal recognition method and production equipment data packet processing method provided in the present application through several examples.

[0060] Figure 6 is a schematic diagram of a process for automatically hanging and picking up product equipment data packets based on RFID rotation signals provided in an embodiment of the present application, such as Figure 6As shown, the operator can generate a semi-finished product record of the corresponding process in the production system based on the production schedule, including: contract information, semi-finished product serial number, semi-finished product turntable disk number information, and semi-finished product raw material information. The operator pushes the turntable onto the take-up rack to perform the turntable operation, and then starts the equipment for production, sets the product length, and the equipment produces according to the product length. By judging whether the equipment meter reset signal is received, it can be determined whether the product production is completed. When the product production is completed, the production equipment forms a product data packet, and the data packet information includes various equipment information from the equipment start time to the end time, such as line speed, amount of grease used, sleeve diameter and other information. By reading multiple RFID signals read in the corresponding time period and accessing them in the data packet RFID signal quantity list, the state of the turntable can be analyzed based on the data packet RFID signal quantity list to confirm the corresponding disk number of the data packet. After confirming the disk number corresponding to the data package, you can determine whether the data package disk number has corresponding production record information. If so, the production record in the production system will be automatically bound to this data package, and the process parameters required by the relevant contract in the production system will be compared and analyzed with the bound equipment data package. If otherwise, find the cause of the abnormal situation, fill it in manually and mark it.

[0061] Figure 7 : is a flow chart of confirming the disk number corresponding to the data packet provided in the embodiment of the present application, such as Figure 7 As shown, an RFID signal time series can be read from the list (data packet RFID signal quantity list), and then for the RFID signal time series, the standard deviation corresponding to the signal strength of this RFID signal at the start time and end time of the data packet is calculated, and then the threshold is used to determine whether it has a rotation attribute. If so, it is confirmed that the disk number information corresponding to this data packet is the value corresponding to this RFID signal. If not, the next RFID signal time series in the list is analyzed. If the disk number information corresponding to the data packet is not found after all the calculations of the data packet RFID list are completed, a fault prompt message is sent.

[0062] Figure 8 is a flow chart of comparing production parameter indicators with actual production data provided in the embodiment of the present application, such as Figure 8 As shown, the data comparison and analysis of the process parameters required by the relevant contract in the production system and the bound equipment data package specifically includes: judging whether the production length of the data package meets the contract requirements and judging whether the casing diameter of the data package meets the contract requirements, and timely pushing alarm information for non-compliant products to remind the relevant responsible persons to pay attention to the problem in time and solve it as soon as possible.

[0063] The following is a description of the turnover tray RFID signal identification device provided in the present application. The turnover tray RFID signal identification device described below and the turnover tray RFID signal identification method described above can be referenced to each other.

[0064] Fig. 9 is a schematic diagram of the structure of the RFID signal recognition device for the turntable provided in the embodiment of the present application, such as Fig. 9 As shown, the device includes: a reading module 10 and an identification module 20. Among them: The reading module 10 is used to read the signal time series of the RFID tags of each turnover plate in the area where the optical cable production equipment is located during the process of producing optical cables by the optical cable production equipment. The signal time series is used to characterize the change of the signal strength of the RFID tag over time. During the process of producing optical cables, the turnover plate loaded by the optical cable production equipment is in a rotating state, and the turnover plate near the optical cable production equipment is in a stationary state; The identification module 20 is used to identify the RFID tags of the turntables loaded on the optical cable production equipment by analyzing the states of the turntables based on the signal time series of the RFID tags of each turntable.

[0065] It can be understood that the detailed functional implementation of each of the above-mentioned units / modules can be found in the introduction of the aforementioned method embodiment, and will not be repeated here.

[0066] It should be understood that the above-mentioned device is used to execute the method in the above-mentioned embodiment. The implementation principle and technical effect of the corresponding program module in the device are similar to those described in the above-mentioned method. The working process of the device can refer to the corresponding process in the above-mentioned method, which will not be repeated here.

[0067] Based on the method in the above embodiment, an embodiment of the present application provides an electronic device, Fig.10 is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application, such as Fig.10 As shown, the electronic device may include: a processor (Processor) 810, a communication interface (Communications Interface) 820, a memory (Memory) 830 and a communication bus 840, wherein the processor 810, the communication interface 820, and the memory 830 communicate with each other through the communication bus 840. The processor 810 may call the logic instructions in the memory 830 to execute the method in the above embodiment.

[0068] In addition, the logic instructions in the above-mentioned memory 830 can be implemented in the form of software functional units and can be stored in a computer-readable storage medium when sold or used as an independent product. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium and includes a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application.

[0069] Based on the method in the above embodiment, an embodiment of the present application provides a computer-readable storage medium, which stores a computer program. When the computer program runs on a processor, the processor executes the method in the above embodiment.

[0070] Based on the method in the above embodiment, an embodiment of the present application provides a computer program product. When the computer program product runs on a processor, the processor executes the method in the above embodiment.

[0071] It is understandable that the processor in the embodiment of the present application may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field programmable gate arrays (FPGA) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. The general-purpose processor may be a microprocessor or any conventional processor.

[0072] The method steps in the embodiments of the present application can be implemented by hardware or by a processor executing software instructions. The software instructions can be composed of corresponding software modules, and the software modules can be stored in random access memory (RAM), flash memory, read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), registers, hard disks, mobile hard disks, CD-ROMs, or any other form of storage medium known in the art. An exemplary storage medium is coupled to the processor so that the processor can read information from the storage medium and write information to the storage medium. Of course, the storage medium can also be a component of the processor. The processor and the storage medium can be located in an ASIC.

[0073] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented by software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions may be stored in a computer-readable storage medium or transmitted through the computer-readable storage medium. The computer instructions may be transmitted from a website site, computer, server or data center to another website site, computer, server or data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium may be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more available media integrated. The available medium may be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid-state drive (SSD)), etc.

[0074] It should be understood that the various numerical numbers involved in the embodiments of the present application are only used for the convenience of description and are not used to limit the scope of the embodiments of the present application.

[0075] It will be easily understood by those skilled in the art that the above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present application shall be included in the scope of protection of the present application.

Claims

1. A method for identifying RFID signals of a turntable, characterized in that: include: During the process of producing optical cables by the optical cable production equipment, the signal time series of the RFID tags of each turnover plate in the area where the optical cable production equipment is located is read, and the signal time series is used to characterize the change of the signal strength of the RFID tag over time. During the process of producing optical cables, the turnover plate loaded by the optical cable production equipment is in a rotating state, and the turnover plate near the optical cable production equipment is in a stationary state; Based on the signal time series of the RFID tag of each turnover tray, the RFID tag of the turnover tray loaded on the optical cable production equipment is identified by analyzing the state of the turnover tray.

2. The method for identifying RFID signals of a turntable according to claim 1, characterized in that: The state of the analysis turntable includes: Based on the signal time series of the RFID tag of the turnover tray, the standard deviation of the signal strength corresponding to the RFID tag of the turnover tray is determined by statistical standard deviation; Based on the standard deviation of the signal strength corresponding to the RFID tag of the turnover tray, the status of the corresponding turnover tray in the process of producing optical cables is analyzed.

3. The method for identifying RFID signals of a turntable according to claim 2, characterized in that: The signal strength standard deviation corresponding to the RFID tag based on the turntable is used to analyze the state of the corresponding turntable during the production of the optical cable, including: Compare the standard deviation threshold with the standard deviation of the signal strength corresponding to the RFID tag of the turntable; When the standard deviation of the signal strength corresponding to the RFID tag of the turntable is greater than the standard deviation threshold, it is determined that the corresponding turntable is in a rotating state during the production of the optical cable; Or, when the standard deviation of the signal strength corresponding to the RFID tag of the turntable is less than or equal to the standard deviation threshold, it is determined that the corresponding turntable is in a stationary state during the production of the optical cable.

4. The method for identifying RFID signals of a turntable according to claim 2, characterized in that: Before determining the standard deviation of the signal strength corresponding to the RFID tag of the turntable by statistically analyzing the standard deviation of the signal time series of the RFID tag of the turntable, the following steps are also included: Based on the total number of reads and the number of times each RFID tag is read, calculate the proportion of reads corresponding to each RFID tag; Based on the reading count ratio threshold and the reading count ratio corresponding to each RFID tag, RFID tags whose reading count ratio is lower than the reading count ratio threshold are filtered out, and the filtered out RFID tags are not used as statistical objects of the standard deviation.

5. The method for identifying RFID signals of a turntable according to claim 2, characterized in that: After analyzing the state of the corresponding turntable in the process of producing optical cables based on the standard deviation of the signal strength corresponding to the RFID tag of the turntable, it also includes: If the turntable that is rotating during the production of the optical cable is not found, a fault prompt message is sent.

6. The method for identifying RFID signals of a turntable according to any one of claims 1 to 5, characterized in that: The target output power of the RFID reader used to read RFID tags is determined by the following steps: Gradually reduce the output power of the RFID reader until the proportion of the number of times the RFID tags on the turntable loaded by the optical cable production equipment are read is reduced to a preset indicator value; When the proportion of the number of times the RFID tags of the turntables loaded on the optical cable production equipment are read is reduced to a preset index value, the output power of the RFID reader is determined as the target output power.

7. A method for processing data packets of production equipment, characterized in that: include: Based on the RFID tag of the turnover tray loaded by the optical cable production equipment, the contract information corresponding to the tray number of the turnover tray loaded by the optical cable production equipment is determined, the RFID tag of the turnover tray loaded by the optical cable production equipment is determined by applying the turnover tray RFID signal recognition method according to any one of claims 1 to 6, the RFID tag stores the tray number of the corresponding turnover tray, and the contract information is associated with the tray number of the turnover tray; Correlate the contract information with the data package provided by the cable manufacturing equipment.

8. The method for processing data packets of production equipment according to claim 7, characterized in that: After associating the contract information with the data package provided by the optical cable production equipment, it also includes: Compare the difference between the production parameter indicators in the contract information and the corresponding actual production data in the data package; When the difference exceeds the difference threshold, an alarm message is sent.

9. A turnover plate RFID signal recognition device, characterized in that: include: A reading module is used to read the signal time series of the RFID tags of each turnover plate in the area where the optical cable production equipment is located during the process of producing optical cables by the optical cable production equipment, wherein the signal time series is used to characterize the change of the signal strength of the RFID tag over time. During the process of producing optical cables, the turnover plate loaded by the optical cable production equipment is in a rotating state, and the turnover plate near the optical cable production equipment is in a stationary state; The identification module is used to identify the RFID tags of the turntables loaded on the optical cable production equipment by analyzing the states of the turntables based on the signal time series of the RFID tags of each turntable.

10. An electronic device, characterized in that: include: at least one memory for storing a computer program; At least one processor is used to execute the program stored in the memory. When the program stored in the memory is executed, the processor is used to execute the turnover plate RFID signal recognition method as described in any one of claims 1-6 or the production equipment data packet processing method as described in any one of claims 7-8.

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