Quality inspection system based on RFID tags

Abstract

The invention discloses a quality detection system based on a wireless radio frequency identification tag. The invention relates to the technical field of wireless radio frequency identification tags and solves the problem that the anti-interference ability of a relevant radio frequency tag and the corresponding distance test qualification ability cannot be known in time, and the test result is not comprehensive. The invention is based on a confirmed optimal frequency, and the feedback time situation corresponding to the frequency interval is relatedly confirmed, and based on the corresponding confirmation result, the specific anti-interference test result is identified. For a confirmed suboptimal frequency, the feedback time situation corresponding to the frequency interval is relatedly confirmed, and a limit distance test is performed. Based on the corresponding test result, it is determined whether the corresponding radio frequency tag meets the standard in the limit distance test. Different identification processing methods are adopted to perform complete quality detection on the radio frequency tag, and the quality detection is more comprehensive, and a better quality detection effect can be achieved.

Description

Technical Field

[0001] The invention relates to the technical field of wireless radio frequency identification tags, in particular to a quality detection system based on wireless radio frequency identification tags. Background Art

[0002] Radio frequency identification, or RFID technology, also known as electronic tags and wireless radio frequency identification, is a communication technology that can identify specific targets and read and write related data through radio signals without establishing mechanical or optical contact between the identification system and the specific target.

[0003] The application with publication number CN110765794A discloses a quality inspection system based on wireless radio frequency identification tags, which relates to the field of quality inspection technology. The present invention includes: a composite label production part and a composite label winding part; the composite label produced by the composite label production part is transmitted to the composite label winding part via a conveyor belt; a surface light source, a reader and a pressure roller are sequentially arranged in the composite label winding part along the movement direction of the conveyor belt; the composite label winding part is also provided with a camera for shooting, a signal trigger, a control box and an alarm. The present invention detects the radio frequency signal of the composite label through the reader and writer, and determines whether the radio frequency signal of the composite label is complete according to whether the signal trigger returns a trigger signal; and the composite label image on the conveyor belt is photographed by a camera, and the image recognition module compares the composite label image with the standard image to identify the composite label image; the external structure of the wireless radio frequency identification tag and the quality inspection of the internal chip are realized, which is convenient and fast.

[0004] Based on the relevant wireless radio frequency identification tags, generally based on the relevant signals sent by the relevant readers and writers and the relevant information received, it is identified and confirmed whether the relevant radio frequency tags meet the quality standards, and based on the identification results, the corresponding detection signals are confirmed and displayed. However, in this way, the detection results are not comprehensive, and the anti-interference ability of the relevant radio frequency tags and the corresponding distance test qualification ability cannot be known in time. The test results are not comprehensive and cannot achieve better tag quality detection effects. Summary of the invention

[0005] In view of the shortcomings of the prior art, the present invention provides a quality detection system based on wireless radio frequency identification tags, which solves the problem that the anti-interference ability of the relevant radio frequency tags and the corresponding distance test qualification ability cannot be known in time, and the test results are not comprehensive.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: A quality detection system based on wireless radio frequency identification tags, comprising:

[0007] The RF data confirmation terminal collects and confirms the RF data generated during the preliminary test of the RF tag, and transmits the collected RF data to the standard frequency confirmation terminal. The RF data includes: RF signals of different frequencies and corresponding feedback times;

[0008] The standard frequency confirmation terminal verifies the RF data during the preliminary test, locks the standard frequency, and transmits the confirmed standard frequency to the relevant data analysis terminal for frequency division. The specific method is as follows:

[0009] Selecting a feedback time from different radio frequency data, and marking the selected feedback time as Fi, where i represents different frequencies;

[0010] Identify whether the feedback time Fi satisfies: Fi≤Y1, where Y1 is a preset value. If so, the RF frequency corresponding to the feedback time is calibrated as the standard frequency. If not, no calibration is performed.

[0011] The relevant data analysis end, based on the confirmed standard frequency, confirms the feedback time corresponding to the corresponding standard frequency, confirms the point in the two-dimensional coordinate system, and generates a standard frequency change curve, and then performs relevant analysis on the standard frequency change curve to determine the optimal frequency segment and the suboptimal frequency segment. The specific method is as follows:

[0012] A two-dimensional coordinate system is constructed with the corresponding frequency as the horizontal coordinate axis and the corresponding time as the vertical coordinate axis. Based on the feedback time corresponding to the corresponding standard frequency, the corresponding points are selected in the two-dimensional coordinate system, and the adjacent points are connected to confirm the relevant standard frequency change curve in the two-dimensional coordinate system;

[0013] In the standard frequency change curve, a set of standard lines is constructed, and the standard lines are perpendicular to the vertical coordinate axis of the two-dimensional coordinate system, so that the standard lines are gradually moved upward from the position when the frequency is 0, and the standard frequency change curve is divided by the standard lines during the movement process, and then the length Cd of the upper curve of the standard line and the length Cs of the line segment of the lower curve of the standard line are determined, and the length difference Cz between the two end curves is determined by using Cz=|Cd-Cs|, and several groups of length difference Cz are confirmed based on the movement process of several groups, and then the minimum difference is selected from the several groups of length difference Cz, and the position of the standard line is recorded to determine the standard position;

[0014] The relevant standard frequency at the upper end of the standard position is marked as the optimal frequency, and the optimal frequency line segment is locked, and the determined optimal frequency line segment is transmitted to the optimal frequency test terminal;

[0015] The relevant standard frequency at the lower end of the standard position is marked as the suboptimal frequency, and the suboptimal frequency line segment is locked, and the confirmed suboptimal frequency line segment is transmitted to the suboptimal frequency test terminal;

[0016] The fluctuation segment determination end analyzes and confirms the fluctuation segment of the confirmed optimal frequency segment or the second optimal frequency segment, determines the time difference within the unit length of the corresponding segment based on the time difference and the length difference of the corresponding segment, and selects the fluctuation segment in the optimal frequency segment or the second optimal frequency segment based on the corresponding time difference, and the specific method is as follows:

[0017] Determine the turning point from the best frequency line segment or the second best frequency line segment, the trend of the line segments before and after the turning point is inconsistent, and the initial point and the end point of the corresponding line segment are marked as the turning point;

[0018] Mark the line segments corresponding to the adjacent turning points as the line segments to be processed, and determine the time parameters corresponding to the initial point and the end point of the line segment to be processed, and determine the time difference SJ of the two sets of time parameters, and the time difference SJ>0, then determine the line segment length CC of the line segment to be processed, and use SJ÷CC=CS to confirm the time difference CS of the unit length;

[0019] A set of maximum values ​​is selected from different CSs corresponding to several to-be-processed segments in the optimal frequency segment, and the to-be-processed segment corresponding to the maximum value is marked as the optimal fluctuation segment of the optimal frequency segment. Based on the maximum frequency value and the minimum frequency value corresponding to the optimal fluctuation segment, the optimal frequency interval is confirmed and transmitted to the optimal frequency test terminal;

[0020] A set of maximum values ​​is selected from different CSs corresponding to several to-be-processed segments in the sub-optimal frequency segment, and the to-be-processed segment corresponding to the maximum value is marked as the sub-optimal fluctuation segment of the sub-optimal frequency segment. Based on the maximum frequency value and the minimum frequency value corresponding to the sub-optimal fluctuation segment, the sub-optimal frequency interval is confirmed and transmitted to the sub-optimal frequency test terminal;

[0021] The optimal frequency test end adjusts the transmission frequency of the reader based on the determined optimal frequency range, and uses external equipment to build a set of external interference magnetic fields to interfere with the RFID tag, and identifies the relevant standard frequency from the optimal frequency range to confirm whether the RFID tag meets the anti-interference standard. The specific method is as follows:

[0022] Control the transmitting frequency of the reader / writer, gradually adjust it upward from the minimum value of the optimal frequency range, and construct a corresponding external interference magnetic field, and the strength of the magnetic field is a preset value;

[0023] Record radio frequency data of different frequencies, select feedback time from the radio frequency data, compare the feedback time with the preset value Y1, calibrate the optimal frequency corresponding to the feedback time ≤ Y1 as the standard frequency, and record the specific proportion Zb1 of the standard frequency in this optimal frequency range. If Zb1 ≥ 80%, generate an anti-interference standard signal and display it through the display terminal. Otherwise, generate an anti-interference standard failure signal and display it through the display terminal.

[0024] The suboptimal frequency test end places the RFID tag at the farthest test distance, and uses the determined suboptimal frequency range to adjust the reader's transmission frequency, and then identifies the relevant standard frequency from the suboptimal frequency range to identify whether the RFID tag meets the test distance standard; the specific method is:

[0025] Place the RFID tag at the farthest test distance, and the test distance is the preset distance, and then adjust the transmission frequency of the reader / writer, gradually adjusting from the minimum value to the maximum value of the suboptimal frequency range;

[0026] Record the RF data of different frequencies, determine the feedback time from the RF data, compare the feedback time with the preset value Y1, calibrate the suboptimal frequency corresponding to the feedback time ≤ Y1 as the standard frequency, and record the specific proportion Zb2 of the standard frequency in this optimal frequency interval. If Zb2 ≥ 80%, generate a distance test compliance signal and display it through the display terminal. Otherwise, generate a distance test non-compliance signal and display it through the display terminal.

[0027] The present invention provides a quality detection system based on wireless radio frequency identification tags. Compared with the prior art, it has the following beneficial effects:

[0028] The present invention performs an initial test on the wireless radio frequency tag, locks the standard frequency, and then divides the standard frequency to lock the optimal frequency with better performance and the suboptimal frequency with worse performance. For these different frequencies, the relevant frequency segment with the longest fluctuation distance is selected for subsequent testing, so that the accuracy and related effects of the subsequent tests are better, and better test processing results can be achieved;

[0029] Based on the confirmed optimal frequency, the corresponding feedback time situation in this frequency range is confirmed, and based on the corresponding confirmation result, the specific anti-interference test result is identified. For the confirmed suboptimal frequency, the corresponding feedback time situation in this frequency range is confirmed, and an extreme distance test is performed. Based on the corresponding test result, it is determined whether the corresponding RFID tag meets the standard in the extreme distance test. By adopting different identification and processing methods, the RFID tag can be completely quality tested. The quality test is more comprehensive and can achieve better quality test results. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 It is a schematic diagram of the principle framework of the present invention;

[0031] Figure 2 This is a schematic diagram of the testing principle of the radio frequency tag of the present invention. DETAILED DESCRIPTION

[0032] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0033] See also Figure 1 , the present application provides a quality detection system based on wireless radio frequency identification tags, including a radio frequency data confirmation terminal, a standard frequency confirmation terminal, a related data analysis terminal, an optimal frequency test terminal, a suboptimal frequency test terminal and a display terminal;

[0034] Among them, the radio frequency data confirmation terminal, the standard frequency confirmation terminal, the related data analysis terminal and the fluctuation segment determination terminal are electrically connected in sequence from the output node to the input node, and the fluctuation segment determination terminal is electrically connected to the optimal frequency test terminal or the second-best frequency test terminal input node respectively, and the optimal frequency test terminal and the second-best frequency test terminal are both electrically connected to the display terminal input node;

[0035] Combination Figure 2 During the specific use of the wireless radio frequency identification tag, the relevant reader sends a radio frequency signal to the radio frequency tag, and the antenna or chip inside the radio frequency tag performs relevant feedback, feeding back the relevant information carried by the tag to the reader;

[0036] Among them, the RF data confirmation end collects and confirms the RF data generated during the preliminary test of the RF tag, and transmits the collected RF data to the standard frequency confirmation end. The preliminary test process is: the reader generates the corresponding RF signal in real time, and the frequency of each group of RF signals gradually increases, and the feedback time of the RF tag related to the corresponding frequency RF signal is recorded. The RF data includes: RF signals of different frequencies and corresponding feedback times. Specifically, during the relevant test process, the reader increases the relevant frequency of the RF signal in turn, and the frequency is determined one by one according to the preset frequency range. The reader can determine the corresponding feedback time based on the signal sending process and the related information receiving process;

[0037] The standard frequency confirmation terminal performs numerical confirmation on the radio frequency data in the preliminary test process, locks the standard frequency, and transmits the confirmed standard frequency to the relevant data analysis terminal for frequency division. The specific method of locking the standard frequency is as follows:

[0038] Selecting a feedback time from different radio frequency data, and marking the selected feedback time as Fi, where i represents different frequencies;

[0039] Identify whether the feedback time Fi satisfies: Fi≤Y1, where Y1 is a preset value, and its specific value is determined by the operator based on experience. If it satisfies, the RF frequency corresponding to this feedback time is calibrated as the standard frequency. If it does not satisfy, no calibration is performed;

[0040] Specifically, after the RF signal of the corresponding frequency is generated, its RF tag generates a corresponding feedback time. When the frequency is different, the generated feedback time will also be different. If the feedback time is longer, it means that the corresponding frequency does not meet the standard during the test. If the feedback time is short, it is the feedback time that meets the standard, then it means that the corresponding frequency meets the standard during the test.

[0041] Among them, the relevant data analysis end, based on the confirmed standard frequency, confirms the feedback time corresponding to the corresponding standard frequency, confirms the point in the two-dimensional coordinate system, and generates a standard frequency change curve, and then performs relevant analysis processing on the standard frequency change curve to determine the optimal frequency segment and the sub-optimal frequency segment. Specifically, each group of different standard frequencies corresponds to different feedback times, so the relevant points can be locked in the relevant two-dimensional coordinate system. If the points are adjacent points, the relevant segments can be constructed. Among them, the specific method of performing relevant analysis processing is:

[0042] A two-dimensional coordinate system is constructed with the corresponding frequency as the horizontal coordinate axis and the corresponding time as the vertical coordinate axis. Based on the feedback time corresponding to the corresponding standard frequency, the corresponding points are selected in the two-dimensional coordinate system, and the adjacent points are connected to confirm the relevant standard frequency change curve in the two-dimensional coordinate system;

[0043] In the standard frequency change curve, a set of standard lines is constructed, and the standard lines are perpendicular to the vertical coordinate axis of the two-dimensional coordinate system, so that the standard lines are gradually moved upward from the position when the frequency is 0, and the standard frequency change curve is divided by the standard lines during the movement process, and then the length Cd of the upper curve of the standard line and the length Cs of the line segment of the lower curve of the standard line are determined, and the length difference Cz between the two end curves is determined by using Cz=|Cd-Cs|, and several groups of length difference Cz are confirmed based on the movement process of several groups, and then the minimum difference is selected from the several groups of length difference Cz, and the position of the standard line is recorded to determine the standard position;

[0044] The relevant standard frequency at the upper end of the standard position is marked as the optimal frequency, and the optimal frequency line segment is locked, and the determined optimal frequency line segment is transmitted to the optimal frequency test terminal;

[0045] The relevant standard frequency at the lower end of the standard position is marked as the suboptimal frequency, and the suboptimal frequency line segment is locked, and the confirmed suboptimal frequency line segment is transmitted to the suboptimal frequency test terminal;

[0046] Specifically, the standard frequencies are all related frequencies that can complete normal testing. For such frequencies, it is necessary to select the best frequency and the second best frequency. In order to divide the standard frequencies, it is necessary to perform upper and lower side analysis based on the corresponding line segment proportion display. Based on the corresponding analysis results, the related standard frequencies with similar upper and lower performance levels can be determined. Then, based on the set standard line, the best frequency or the second best frequency can be selected from the standard frequencies.

[0047] In the actual processing process, if a simple data analysis method is used, the processing efficiency is relatively slow and the processing progress is slow. By constructing standard lines and dividing the relevant line segments, the relevant frequency division process can be completed quickly, thereby ensuring the corresponding frequency division results, and the division processing speed is faster and more efficient, which can achieve better line segment processing effects.

[0048] The fluctuation segment determination end analyzes and confirms the fluctuation segment of the confirmed optimal frequency segment or the suboptimal frequency segment, determines the time difference within the unit length of the corresponding segment based on the time difference and the length difference of the corresponding segment, and selects the fluctuation segment in the optimal frequency segment or the suboptimal frequency segment based on the corresponding time difference, wherein the specific method of selecting is:

[0049] Determine the turning point from the optimal frequency line segment or the suboptimal frequency line segment. The trend of the line segments before and after the turning point is inconsistent, and the initial point and the end point of the corresponding line segment are marked as the turning point. For example, when there is a fluctuation segment in the corresponding line segment, one end of the line segment is downward and the other end of the line segment is upward, then the turning point between the two line segments is the corresponding turning point. Similarly, when one end of the line segment is upward and the other end of the line segment is downward, then the turning point between the two line segments is also the corresponding turning point.

[0050] Mark the line segments corresponding to the adjacent turning points as the line segments to be processed, and determine the time parameters corresponding to the initial point and the end point of the line segments to be processed, and determine the time difference SJ of the two sets of time parameters, and the time difference SJ>0 (for example: a set of line segments has an initial point and an end point, then the initial point and the end point are located in a two-dimensional coordinate system, there must be corresponding times, and there is a corresponding time difference between the times), and then determine the line segment length CC of the line segment to be processed, and use SJ÷CC=CS to confirm the time difference CS of the unit length;

[0051] A set of maximum values ​​is selected from different CSs corresponding to several to-be-processed segments in the optimal frequency segment, and the to-be-processed segment corresponding to the maximum value is marked as the optimal fluctuation segment of the optimal frequency segment. Based on the maximum frequency value and the minimum frequency value corresponding to the optimal fluctuation segment, the optimal frequency interval is confirmed and transmitted to the optimal frequency test terminal;

[0052] A set of maximum values ​​is selected from different CSs corresponding to several to-be-processed segments in the suboptimal frequency segment, and the to-be-processed segments corresponding to the maximum values ​​are marked as the suboptimal fluctuation segments of the suboptimal frequency segment. Based on the maximum frequency value and the minimum frequency value corresponding to the suboptimal fluctuation segment, the suboptimal frequency interval is confirmed and transmitted to the suboptimal frequency test terminal.

[0053] Specifically, the determined fluctuation segment is a group of line segments corresponding to the closest frequency line segment fluctuations, and the line segments correspond to different frequency intervals, and the frequency intervals are the corresponding optimal frequency intervals and the corresponding suboptimal frequency intervals. The relevant frequencies within such frequency intervals are the relevant fluctuation frequencies, and such fluctuation frequencies are frequency intervals that are easily disturbed in subsequent related testing processes. Therefore, in subsequent specific testing processes, relevant execution tests are performed on the frequency values ​​of such frequency intervals to determine specific test results.

[0054] Among them, the best frequency test end adjusts the transmission frequency of the reader based on the determined best frequency range, and uses external equipment to build a set of external interference magnetic fields to interfere with the RFID tag, and identifies the relevant standard frequency from the best frequency range to confirm whether the RFID tag meets the anti-interference standard, and displays it through the display end. The specific method of confirmation is:

[0055] Control the transmitting frequency of the reader / writer, gradually adjust it upward from the minimum value of the optimal frequency range, and construct the corresponding external interference magnetic field. The strength of the magnetic field is a preset value, which is prepared in advance by the operator based on experience;

[0056] Record the RF data of different frequencies, select the feedback time from the RF data, compare the feedback time with the preset value Y1, calibrate the optimal frequency corresponding to the feedback time ≤ Y1 as the standard frequency, and record the specific proportion Zb1 of the standard frequency in this optimal frequency interval. If Zb1 ≥ 80%, generate an anti-interference standard signal and display it through the display terminal. Otherwise, generate an anti-interference standard failure signal and display it through the display terminal, where the specific proportion Zb1 = the number of standard frequencies ÷ the total number of optimal frequency intervals;

[0057] Specifically, for the best frequency with better performance, the anti-interference test is performed on the RFID tag within this frequency range to identify the anti-interference ability of the corresponding RFID tag. Different quality monitoring methods are used for different related frequencies, and the test results are more comprehensive and the detection effect is better.

[0058] Among them, the suboptimal frequency test end places the RFID tag at the farthest test distance, and uses the determined suboptimal frequency range to adjust the transmission frequency of the reader, and then identifies the relevant standard frequency from the suboptimal frequency range to identify whether the test distance of this RFID tag meets the standard. The specific method of confirmation is:

[0059] Place the RFID tag at the farthest test distance, and the test distance is the preset distance, which is set by the operator in advance based on experience, and then adjust the transmission frequency of the reader / writer, gradually adjusting from the minimum value to the maximum value of the suboptimal frequency range;

[0060] Record radio frequency data of different frequencies, determine the feedback time from the radio frequency data, compare the feedback time with the preset value Y1, calibrate the suboptimal frequency corresponding to the feedback time ≤ Y1 as the standard frequency, and record the specific proportion Zb2 of the standard frequency in the suboptimal frequency interval. If Zb2 ≥ 80%, generate a distance test compliance signal and display it through the display terminal. Otherwise, generate a distance test non-compliance signal and display it through the display terminal.

[0061] Specifically, the specific proportion Zb2 = the number of standard frequencies ÷ the total number of suboptimal frequency intervals;

[0062] For suboptimal frequencies, if anti-interference tests are performed on such frequencies, many frequencies will certainly not meet the standards. In this case, distance tests are used to identify and determine whether the corresponding distance tests meet the standards.

[0063] By adopting different identification and processing methods, the radio frequency tag can be completely quality inspected, and its quality inspection is more comprehensive and can achieve better quality inspection results.

[0064] Some of the data in the above formulas are numerically calculated by removing their dimensions. Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0065] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A quality inspection system based on radio frequency identification tags, characterized in that: include: The RF data confirmation terminal collects and confirms the RF data generated during the preliminary test of the RF tag, and transmits the collected RF data to the standard frequency confirmation terminal. The RF data includes: RF signals of different frequencies and corresponding feedback times; The standard frequency confirmation terminal verifies the radio frequency data in the preliminary test process, locks the standard frequency, and transmits the confirmed standard frequency to the relevant data analysis terminal for frequency division; The relevant data analysis end confirms the feedback time corresponding to the standard frequency based on the confirmed standard frequency, confirms the point position in the two-dimensional coordinate system, generates a standard frequency change curve, and then performs relevant analysis on the standard frequency change curve to determine the optimal frequency segment and the suboptimal frequency segment; The fluctuation segment determination end analyzes and confirms the fluctuation segment of the confirmed optimal frequency segment or the second optimal frequency segment, determines the time difference within the unit length of the corresponding segment based on the time difference and the length difference of the corresponding segment, and selects the fluctuation segment in the optimal frequency segment or the second optimal frequency segment based on the corresponding time difference; The optimal frequency test end adjusts the transmission frequency of the reader based on the determined optimal frequency range, and uses external equipment to build a set of external interference magnetic fields to interfere with the RFID tag, and identifies the relevant standard frequency from the optimal frequency range to confirm whether the RFID tag meets the anti-interference standard; The suboptimal frequency test end places the RFID tag at the farthest test distance, and uses the determined suboptimal frequency range to adjust the reader's transmission frequency, and then identifies the relevant standard frequency within the suboptimal frequency range to determine whether the RFID tag meets the test distance standard.

2. The quality detection system based on wireless radio frequency identification tag according to claim 1 is characterized in that: The specific method of locking the standard frequency at the standard frequency confirmation end is: From different RF data, select the feedback time and mark the selected feedback time as F i , where i represents different frequencies; Identification feedback time F i Satisfied: F i ≤Y1, where Y1 is a preset value. If it is satisfied, the RF frequency corresponding to this feedback time is calibrated as the standard frequency. If it is not satisfied, no calibration is performed.

3. The quality detection system based on wireless radio frequency identification tag according to claim 1 is characterized in that: The specific method of the relevant data analysis end for performing relevant analysis on the standard frequency change curve is as follows: A two-dimensional coordinate system is constructed with the corresponding frequency as the horizontal coordinate axis and the corresponding time as the vertical coordinate axis. Based on the feedback time corresponding to the corresponding standard frequency, the corresponding points are selected in the two-dimensional coordinate system, and the adjacent points are connected to confirm the relevant standard frequency change curve in the two-dimensional coordinate system; In the standard frequency change curve, a set of standard lines is constructed, and the standard lines are perpendicular to the vertical coordinate axis of the two-dimensional coordinate system, so that the standard lines are gradually moved upward from the position when the frequency is 0, and the standard frequency change curve is divided by the standard lines during the movement process, and then the length Cd of the upper curve of the standard line and the length Cs of the line segment of the lower curve of the standard line are determined, and the length difference Cz between the two end curves is determined by using Cz=|Cd-Cs|, and several groups of length difference Cz are confirmed based on the movement process of several groups, and then the minimum difference is selected from the several groups of length difference Cz, and the position of the standard line is recorded to determine the standard position; The relevant standard frequency at the upper end of the standard position is marked as the optimal frequency, and the optimal frequency line segment is locked, and the determined optimal frequency line segment is transmitted to the optimal frequency test terminal; The relevant standard frequency at the lower end of the standard position is calibrated as the suboptimal frequency, and the suboptimal frequency line segment is locked, and the confirmed suboptimal frequency line segment is transmitted to the suboptimal frequency test terminal.

4. The quality detection system based on wireless radio frequency identification tag according to claim 1 is characterized in that: The specific method of selecting the fluctuation segment in the optimal frequency segment or the suboptimal frequency segment at the fluctuation segment determination end is: Determine the turning point from the best frequency line segment or the second best frequency line segment, the trend of the line segments before and after the turning point is inconsistent, and the initial point and the end point of the corresponding line segment are marked as the turning point; Mark the line segments corresponding to the adjacent turning points as the line segments to be processed, and determine the time parameters corresponding to the initial point and the end point of the line segment to be processed, and determine the time difference SJ of the two sets of time parameters, and the time difference SJ>0, then determine the line segment length CC of the line segment to be processed, and use SJ÷CC=CS to confirm the time difference CS of the unit length; A set of maximum values ​​is selected from different CSs corresponding to several to-be-processed segments in the optimal frequency segment, and the to-be-processed segment corresponding to the maximum value is marked as the optimal fluctuation segment of the optimal frequency segment. Based on the maximum frequency value and the minimum frequency value corresponding to the optimal fluctuation segment, the optimal frequency interval is confirmed and transmitted to the optimal frequency test terminal; A set of maximum values ​​is selected from different CSs corresponding to several to-be-processed segments in the suboptimal frequency segment, and the to-be-processed segments corresponding to the maximum values ​​are marked as the suboptimal fluctuation segments of the suboptimal frequency segment. Based on the maximum frequency value and the minimum frequency value corresponding to the suboptimal fluctuation segment, the suboptimal frequency interval is confirmed and transmitted to the suboptimal frequency test terminal.

5. The quality detection system based on wireless radio frequency identification tag according to claim 4 is characterized in that: The specific method of confirming whether the radio frequency tag meets the anti-interference standard at the optimal frequency test end is as follows: Control the transmitting frequency of the reader / writer, gradually adjust it upward from the minimum value of the optimal frequency range, and construct a corresponding external interference magnetic field, and the strength of the magnetic field is a preset value; Record RF data of different frequencies, select feedback time from the RF data, compare the feedback time with the preset value Y1, calibrate the optimal frequency corresponding to the feedback time ≤ Y1 as the standard frequency, and record the specific proportion Zb1 of the standard frequency in this optimal frequency range. If Zb1 ≥ 80%, generate an anti-interference standard signal and display it through the display end. Otherwise, generate an anti-interference standard failure signal and display it through the display end.

6. The quality detection system based on wireless radio frequency identification tag according to claim 4 is characterized in that: The specific method of the suboptimal frequency test end for identifying whether the test distance of the RF tag meets the standard is as follows: Place the RFID tag at the farthest test distance, and the test distance is the preset distance, and then adjust the transmission frequency of the reader / writer, gradually adjusting from the minimum value to the maximum value of the suboptimal frequency range; Record the RF data of different frequencies, determine the feedback time from the RF data, compare the feedback time with the preset value Y1, calibrate the suboptimal frequency corresponding to the feedback time ≤ Y1 as the standard frequency, and record the specific proportion Zb2 of the standard frequency in this optimal frequency interval. If Zb2 ≥ 80%, generate a distance test compliance signal and display it through the display terminal. Otherwise, generate a distance test non-compliance signal and display it through the display terminal.

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