Wireless communication monitoring system and detection method based on archive management

Abstract

The invention relates to the technical field of archive management, and particularly discloses a wireless communication monitoring system and detection method based on archive management, an archive area in an archive management room is uniformly divided into a plurality of archive sub-areas with the same area according to the space, and a signal performance value is obtained based on processing and analysis of a received wireless signal intensity value; obtaining a region judgment value based on processing and analyzing marking results of file labels in the file sub-regions, obtaining an electromagnetic abnormal value based on analyzing the electromagnetic data, and obtaining a coincidence influence value based on processing and analyzing the abnormal coincidence sub-regions; according to the coincidence influence value, determining whether the electromagnetism in the archive sub-region affects wireless signal transmission, and by analyzing the influence factors during wireless signal data acquisition, the accuracy of wireless signal detection is ensured, so that the accuracy of abnormal judgment on the detection region is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of archive management, and in particular to a wireless communication monitoring system and a detection method based on archive management. Background Art

[0002] With the advent of the information age, archive management is also facing a modern transformation. Traditional archive management methods, such as manual records and paper storage, can no longer meet the needs of modern archive management. Archive management departments need more efficient, accurate and secure management methods to cope with the growing number of archives and complex archive management needs. The rapid development of wireless communication technology has provided new technical means for archive management. The characteristics of wireless communication technology include low cost, distribution, low power consumption and self-organization, which make wireless communication technology have broad application prospects in archive management.

[0003] A Chinese patent application with publication number CN206224543U discloses a file management device based on tag identification pairing and identity authentication, including: the output end of the human body detection module of the file management device based on tag identification pairing and identity authentication is connected to the input end of the main controller, the camera and the fingerprint collection module are connected to the main controller, the output end of the main controller is connected to the input end of the alarm module and the voice module, the output end of the light detection module is connected to the input end of the main controller, the central server is connected to the wireless communication module, the output end of the main controller is connected to the input end of the lighting lamp, the real-time clock module is connected to the main controller, the storage module is connected to the main controller, the reader is connected to the main controller, and the reader is connected to the RFID tag through an antenna.

[0004] In the above-mentioned prior art, there is a lack of analysis of the influencing factors when collecting wireless signal data, and the accuracy of wireless signal detection cannot be guaranteed, thereby failing to guarantee the accuracy of abnormality determination in the detection area. Summary of the invention

[0005] The object of the present invention is to provide a wireless communication monitoring system and detection method based on file management to solve the technical problems in the above background.

[0006] The purpose of the present invention can be achieved through the following technical solutions: In a first aspect, the present invention provides a wireless communication detection method based on archive management, comprising: step 1: dividing the archive area in the archive management room into a plurality of archive sub-areas of equal area according to space uniformity, setting a wireless signal sending device in each archive sub-area, and sending a wireless signal to the corresponding archive sub-area through the wireless signal sending device; Step 2: During the detection period, the wireless signal data received by the archive tag in the archive sub-area is obtained, wherein the wireless signal data includes a wireless signal strength value, and a signal performance value XB is obtained based on the received wireless signal strength value. According to the signal performance value XB, it is judged whether the wireless signal received by the archive tag is normal, and the archive tag is marked according to the judgment result, and the archive tag is marked as a normal archive tag and an abnormal archive tag; Step 3: Based on the analysis of the marking results of the archive labels in the archive sub-region, the abnormal number ratio YD and the abnormality degree value CD of the archive sub-region are obtained. According to the abnormal archive label number ratio YD and the abnormality degree value CD, the regional judgment value PC is calculated. Based on the comparison result of the regional judgment value PC and the regional judgment threshold, the corresponding archive sub-region is marked as an abnormal archive sub-region and a normal archive sub-region; Step 4: During the detection period, electromagnetic data in the archive sub-area are obtained, wherein the electromagnetic data includes electromagnetic intensity values. Based on the analysis of the electromagnetic data, electromagnetic anomaly values ​​are obtained. The archive sub-area is marked by the electromagnetic anomaly values, and marked as electromagnetic anomaly sub-areas and electromagnetic normal sub-areas. The marked electromagnetic anomaly sub-areas are overlapped with the abnormal archive sub-areas to obtain abnormal overlap sub-areas. Based on the abnormal overlap sub-areas, processing and analysis are performed to obtain overlap impact values ​​CY. According to the overlap impact values ​​CY, it is determined whether the electromagnetic in the archive sub-area has an impact on the wireless signal transmission.

[0007] As a further solution of the present invention: the signal performance value XB is obtained in the following manner: The fluctuation range ratio BF and the fluctuation amplitude ratio BC are processed by the formula: The signal performance value XB is calculated, where s1 and s2 are both preset proportional coefficients, and both s1 and s2 are greater than 0.

[0008] As a further solution of the present invention: the fluctuation range ratio BF and the fluctuation amplitude ratio BC are obtained as follows: During the detection period, the wireless signal strength values ​​received by the archive tag at different time nodes in the archive sub-area are obtained, the wireless signal strength values ​​received by the archive tag at different time nodes in the archive sub-area are taken as the Y-axis, and the different time nodes corresponding to the wireless signal strength received by the archive tag are taken as the X-axis, an XY two-dimensional coordinate system is constructed, and the wireless signal strength values ​​received by the archive tag at different time nodes are marked and connected in the coordinate system to obtain a signal strength curve; Mark the preset wireless signal strength value on the Y axis in the XY two-dimensional coordinate system, draw a straight line parallel to the X axis through the marked point, and mark it as the reference line; Compare the baseline with the signal strength curve, and mark the curve that does not overlap between the baseline and the signal strength curve as an abnormal curve. If the abnormal curve is above the baseline, it is marked as a high-fluctuation abnormal curve; if the abnormal curve is below the baseline, it is marked as a low-fluctuation abnormal curve; Measure the area enclosed by each abnormal curve and the baseline, and sum and average them to obtain the average value of the area enclosed by the abnormal curve; Measure the area between the baseline and the X-axis and mark it as the reference area. Ratio the mean of the area enclosed by the abnormal curve to the reference area to obtain the fluctuation range ratio BF. Measure the vertical distance between the highest point of each high-fluctuation abnormal curve and the baseline, and sum and average them to obtain the mean of the high-fluctuation curve distance. Measure the vertical distance between the lowest point of each low-fluctuation curve and the baseline, and sum and average them to obtain the mean of the low-fluctuation curve distance. Sum the mean of the high-fluctuation curve distance and the mean of the low-fluctuation curve distance to obtain the abnormal curve fluctuation distance. Measure the vertical distance between the baseline and the X-axis, and mark it as the reference distance. Ratio the abnormal curve fluctuation distance to the reference distance to obtain the fluctuation amplitude ratio BC.

[0009] As a further solution of the present invention: the area determination value PC is obtained in the following manner: The obtained abnormal quantity ratio YD and abnormal degree value CD are processed by data, and the formula is: The area determination value PC is obtained, wherein z1 and z2 are both preset proportional coefficients, and z1 and z2 are both greater than 0.

[0010] As a further solution of the present invention: the method of obtaining the abnormal quantity ratio YD and the abnormal degree value CD is: Obtain the number of abnormal archive labels in the archive sub-region, and perform ratio processing on it with the total number of archive labels in the archive sub-region to obtain the abnormal number ratio YD; The signal performance value XB corresponding to the abnormal file label in the archive sub-area is obtained, and the difference is processed with the signal performance threshold to obtain the signal performance difference corresponding to the abnormal file label. The signal performance differences corresponding to all abnormal file labels in the archive sub-area are summed and averaged to obtain the mean signal performance difference. The mean signal performance difference is ratioed with the signal performance threshold to obtain the abnormality degree value CD.

[0011] As a further solution of the present invention: the overlap influence value CY is obtained in the following manner: The first impact value DY and the second impact value EY are processed by the formula: The overlap influence value CY is calculated, where m1 and m2 are both preset proportional coefficients, and both m1 and m2 are greater than 0.

[0012] As a further solution of the present invention: the first impact value DY is obtained in the following manner: Obtaining the electromagnetic intensity value within the archive sub-area and comparing it with the preset electromagnetic intensity value; If the electromagnetic intensity value is greater than the preset electromagnetic intensity value, an out-of-bounds signal is generated; If the electromagnetic intensity value is less than or equal to the preset electromagnetic intensity value, no processing is performed; In the detection cycle, the time period when the out-of-bounds signal appears is marked as the out-of-bounds period, and the duration corresponding to the out-of-bounds period is processed by ratio with the duration corresponding to the detection cycle to obtain the out-of-bounds duration ratio; During the out-of-bounds period, all electromagnetic intensity values ​​occurring during the out-of-bounds period are obtained, and the sum is averaged to obtain the electromagnetic intensity mean value, the electromagnetic intensity mean value is subjected to difference processing with the preset electromagnetic intensity value to obtain the electromagnetic intensity mean difference, and the electromagnetic intensity mean difference is subjected to ratio processing with the preset electromagnetic intensity value to obtain the out-of-bounds degree value; The electromagnetic anomaly value is obtained by summing the over-boundary duration ratio and the over-boundary degree value; In some embodiments, the electromagnetic anomaly value is compared to an electromagnetic anomaly threshold; If the electromagnetic anomaly value is greater than the electromagnetic anomaly threshold, the archive sub-region corresponding to the electromagnetic anomaly value is marked as an electromagnetic anomaly sub-region; If the electromagnetic anomaly value is less than or equal to the electromagnetic anomaly threshold, the archive sub-region corresponding to the electromagnetic anomaly value is marked as an electromagnetic normal sub-region; The electromagnetic anomaly sub-area and the abnormal archive sub-area are overlapped and analyzed, specifically: If the electromagnetic anomaly sub-region is the same as the archive sub-region corresponding to the abnormal archive sub-region, the archive sub-region corresponding to the electromagnetic anomaly sub-region and the abnormal archive sub-region is marked as an abnormal overlap sub-region; If the electromagnetic anomaly sub-region is different from the archive sub-region corresponding to the abnormal archive sub-region, no processing is performed; The number of all abnormal overlapping sub-regions is counted and compared with the number of abnormal archive sub-regions to obtain the first impact value DY.

[0013] As a further solution of the present invention: the second impact value EY is obtained in the following manner: Obtain the electromagnetic anomaly value and regional judgment value corresponding to each abnormal coincidence sub-region, construct an XY two-dimensional coordinate system with the electromagnetic anomaly value as the X-axis and the regional judgment value as the Y-axis, mark and connect the regional judgment value corresponding to each abnormal coincidence sub-region in the XY two-dimensional coordinate system, and obtain the influence change polyline; Divide the influence change polyline into a plurality of polyline segments, wherein the line connecting each two adjacent area judgment value data points is a polyline segment; Get the slope value of each polyline segment. If the slope value of the polyline segment is greater than 0, mark the polyline segment as an ascending polyline segment. If the slope value of the polyline segment is less than or equal to 0, mark the polyline segment as a non-ascending polyline segment. Count the number of rising broken line segments in the broken line segments, and perform ratio processing with the total number of broken line segments to obtain the rising performance value; Obtain the slope value of the rising broken line segment, mark it as the rising slope value, sum and average all the rising slope values ​​to obtain the rising slope mean, perform subtraction processing on the rising slope value and the rising slope mean, and take the absolute value of the difference to obtain the rising slope value difference, sum and average all the rising slope value differences to obtain the rising slope value mean difference; Compare the difference in upslope values ​​to the mean difference in upslope values: If the rising slope value difference is less than the rising slope value average difference, the corresponding rising broken line segment is marked as a synchronous rising broken line segment; If the rising slope value difference is greater than or equal to the rising slope value average difference, the corresponding rising broken line segment is marked as an asynchronous rising broken line segment; Count the number of synchronous ascending polyline segments, and perform ratio processing on it with the number of ascending polyline segments to obtain the synchronous performance value; The rising performance value and the synchronous performance value are summed to obtain the second impact value EY.

[0014] As a further solution of the present invention: the method for obtaining the judgment result of whether the electromagnetic field in the archive sub-area affects the wireless signal transmission is: Compare the coincidence impact value CY with the coincidence impact threshold: If the coincidence impact value CY is greater than or equal to the coincidence impact threshold, it means that electromagnetics have an impact on wireless signal transmission; If the coincidence impact value CY is less than the coincidence impact threshold, it means that the electromagnetic has no impact on the wireless signal transmission.

[0015] In a second aspect, the present invention provides a wireless communication monitoring system based on archive management, comprising: an area division module: dividing the archive area in the archive management room into a plurality of archive sub-areas of equal area according to the space uniformity, setting a wireless signal sending device in each archive sub-area, and sending a wireless signal to the corresponding archive sub-area through the wireless signal sending device; Data acquisition and processing module: during the detection period, the wireless signal data received by the archive tag in the archive sub-area is obtained, wherein the wireless signal data includes the wireless signal strength value, and the signal performance value XB is obtained based on the received wireless signal strength value processing and analysis; Abnormal analysis module: judges whether the wireless signal received by the archive tag is normal according to the signal performance value XB, and marks the archive tag according to the judgment result, marking the archive tag as a normal archive tag or an abnormal archive tag; Area determination module: Based on the processing and analysis of the marking results of the archive labels in the archive sub-area, the abnormal number ratio YD and the abnormality degree value CD of the archive sub-area are obtained. According to the abnormal archive label number ratio YD and the abnormality degree value CD, the area determination value PC is calculated. Based on the comparison result of the area determination value PC and the area determination threshold, the corresponding archive sub-area is marked as an abnormal archive sub-area and a normal archive sub-area; Electromagnetic impact analysis module: within the detection period, electromagnetic data in the archive sub-area are obtained, wherein the electromagnetic data include electromagnetic intensity values; based on the analysis of the electromagnetic data, electromagnetic anomaly values ​​are obtained; the archive sub-area is marked by the electromagnetic anomaly values, and marked as electromagnetic anomaly sub-area and electromagnetic normal sub-area; the marked electromagnetic anomaly sub-area is overlapped with the abnormal archive sub-area and analyzed to obtain an abnormal overlap sub-area; based on the abnormal overlap sub-area, processing and analysis are performed to obtain an overlap impact value CY; and whether the electromagnetic in the archive sub-area has an impact on the wireless signal transmission is determined according to the overlap impact value CY.

[0016] Beneficial effects of the present invention: (1) The present invention divides the archive area in the archive management room into a plurality of archive sub-areas of equal area according to the space uniformity, sets a wireless signal sending device in each archive sub-area, sends wireless signals to the corresponding archive sub-area through the wireless signal sending device, obtains the wireless signal data received by the archive tag in the archive sub-area within the detection period, wherein the wireless signal data includes the wireless signal strength value, and obtains the signal performance value XB based on the received wireless signal strength value. It judges whether the wireless signal received by the archive tag is normal according to the signal performance value XB, and marks the archive tag according to the judgment result, and marks the archive tag as a normal archive tag and an abnormal archive tag. The present invention is conducive to abnormal judgment of the archive tag, and facilitates further judgment of the archive sub-area.

[0017] (2) The present invention is based on the processing and analysis of the marking results of the archive labels in the archive sub-region, and obtains the abnormal number ratio YD and the abnormality degree value CD of the archive sub-region. According to the abnormal archive label number ratio YD and the abnormality degree value CD, the regional judgment value PC is calculated. Based on the comparison result of the regional judgment value PC and the regional judgment threshold, the corresponding archive sub-region is marked as an abnormal archive sub-region and a normal archive sub-region. The present invention is conducive to abnormal judgment of the archive sub-region and facilitates archive management.

[0018] (3) During the detection period, the present invention obtains electromagnetic data in the archive sub-area, wherein the electromagnetic data includes an electromagnetic intensity value. Based on the analysis of the electromagnetic data, an electromagnetic anomaly value is obtained. The archive sub-area is marked by the electromagnetic anomaly value, and it is marked as an electromagnetic anomaly sub-area and an electromagnetic normal sub-area. The marked electromagnetic anomaly sub-area and the abnormal archive sub-area are overlapped and analyzed to obtain an abnormal overlap sub-area. Based on the abnormal overlap sub-area, processing and analysis are performed to obtain an overlap influence value CY. According to the overlap influence value CY, it is determined whether the electromagnetic in the archive sub-area has an impact on the wireless signal transmission. The present invention is conducive to judging the influencing factors of the abnormal wireless signal transmission in the archive area, ensuring the accuracy of wireless signal detection, and further ensuring the accuracy of abnormal judgment of the detection area. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The present invention will be further described below in conjunction with the accompanying drawings.

[0020] Figure 1 is a flowchart of a wireless communication detection method based on file management according to an embodiment of the present invention; Figure 2 The present invention is a flowchart of a wireless communication monitoring system based on file management according to an embodiment of the present invention. DETAILED DESCRIPTION

[0021] 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.

[0022] Embodiment 1: A wireless communication detection method based on file management according to an embodiment of the present invention comprises: Step 1: The archive area in the archive management room is evenly divided into a plurality of archive sub-areas of equal area according to the space, a wireless signal sending device is set in each archive sub-area, and a wireless signal is sent to the corresponding archive sub-area through the wireless signal sending device; Step 2: During the detection period, the wireless signal data received by the archive tag in the archive sub-area is obtained, wherein the wireless signal data includes a wireless signal strength value, and a signal performance value XB is obtained based on the received wireless signal strength value. According to the signal performance value XB, it is judged whether the wireless signal received by the archive tag is normal, and the archive tag is marked according to the judgment result, and the archive tag is marked as a normal archive tag and an abnormal archive tag; It should be noted that the archives in the archive management room are equipped with corresponding archive tags. The archive tags usually use RFID technology and are embedded with chips and antennas. The chip is used to store and process information, while the antenna is used to receive and transmit radio frequency signals. During the detection period, the wireless signal strength values ​​received by the archive tag at different time nodes in the archive sub-area are obtained, the wireless signal strength values ​​received by the archive tag at different time nodes in the archive sub-area are taken as the Y-axis, and the different time nodes corresponding to the wireless signal strength received by the archive tag are taken as the X-axis, an XY two-dimensional coordinate system is constructed, and the wireless signal strength values ​​received by the archive tag at different time nodes are marked and connected in the coordinate system to obtain a signal strength curve; Mark the preset wireless signal strength value on the Y axis in the XY two-dimensional coordinate system, draw a straight line parallel to the X axis through the marked point, and mark it as the reference line; It should be noted that the preset wireless signal strength value is set by those skilled in the art based on experience, and reflects the strength value of the wireless signal sent by the corresponding wireless signal sending device received by the archive tag under normal circumstances. It should also be noted that the horizontal lengths corresponding to the baseline and the signal strength curve are equal; Compare the baseline with the signal strength curve, and mark the curve that does not overlap between the baseline and the signal strength curve as an abnormal curve. If the abnormal curve is above the baseline, it is marked as a high-fluctuation abnormal curve; if the abnormal curve is below the baseline, it is marked as a low-fluctuation abnormal curve; Measure the area enclosed by each abnormal curve and the baseline, and sum and average them to obtain the average value of the area enclosed by the abnormal curve; Measure the area between the baseline and the X-axis and mark it as the reference area. Ratio the mean of the area enclosed by the abnormal curve to the reference area to obtain the fluctuation range ratio BF. Measure the vertical distance between the highest point of each high-fluctuation abnormal curve and the baseline, and sum and average them to obtain the mean value of the high-fluctuation curve distance; measure the vertical distance between the lowest point of each low-fluctuation curve and the baseline, and sum and average them to obtain the mean value of the low-fluctuation curve distance; sum the mean value of the high-fluctuation curve distance and the mean value of the low-fluctuation curve distance to obtain the abnormal curve fluctuation distance; measure the vertical distance between the baseline and the X-axis, and mark it as the reference distance; perform ratio processing on the abnormal curve fluctuation distance and the reference distance to obtain the fluctuation amplitude ratio BC; The fluctuation range ratio BF and the fluctuation amplitude ratio BC are processed by the formula: The signal performance value XB is calculated, where s1 and s2 are preset proportional coefficients, and both s1 and s2 are greater than 0; It should be noted that the purpose of obtaining the signal performance value XB in this scheme is to calculate the signal performance value XB through the fluctuation range ratio BF and the fluctuation amplitude ratio BC. Through the analysis of the range and amplitude, it is helpful to judge the abnormality of the file label; Compare the signal performance value XB with the signal performance threshold: If the signal performance value XB is greater than or equal to the signal performance threshold, it means that the wireless signal received by the archive tag is abnormal, and the archive tag corresponding to the signal performance value XB is marked as an abnormal archive tag; If the signal performance value XB is less than the signal performance threshold, it means that the wireless signal received by the archive tag is normal, and the archive tag corresponding to the signal performance value XB is marked as a normal archive tag; The technical solution of the embodiment of the present invention is mainly as follows: the archive area in the archive management room is evenly divided into multiple archive sub-areas of equal area according to space, a wireless signal sending device is set in each archive sub-area, and a wireless signal is sent to the corresponding archive sub-area through the wireless signal sending device. During the detection period, the wireless signal data received by the archive tag in the archive sub-area is obtained, wherein the wireless signal data includes a wireless signal strength value, and a signal performance value XB is obtained based on the received wireless signal strength value. According to the signal performance value XB, it is judged whether the wireless signal received by the archive tag is normal, and the archive tag is marked according to the judgment result, and the archive tag is marked as a normal archive tag and an abnormal archive tag. The present invention is conducive to abnormal judgment of the archive tag and facilitates further judgment of the archive sub-area.

[0023] Embodiment 2: Based on Embodiment 1, a wireless communication detection method based on file management described in an embodiment of the present invention further includes the following steps: Step 3: Based on the analysis of the marking results of the archive labels in the archive sub-region, the abnormal number ratio YD and the abnormality degree value CD of the archive sub-region are obtained. According to the abnormal archive label number ratio YD and the abnormality degree value CD, the regional judgment value PC is calculated. Based on the comparison result of the regional judgment value PC and the regional judgment threshold, the corresponding archive sub-region is marked as an abnormal archive sub-region and a normal archive sub-region; Obtain the number of abnormal archive labels in the archive sub-region, and perform ratio processing on it with the total number of archive labels in the archive sub-region to obtain the abnormal number ratio YD; Obtain the signal performance value XB corresponding to the abnormal archive label in the archive sub-area, and perform difference processing with the signal performance threshold to obtain the signal performance difference corresponding to the abnormal archive label, sum and average the signal performance differences corresponding to all abnormal archive labels in the archive sub-area to obtain the mean signal performance difference, perform ratio processing on the mean signal performance difference and the signal performance threshold to obtain the abnormal degree value CD; The obtained abnormal quantity ratio YD and abnormal degree value CD are processed by data, and the formula is: Obtaining a region determination value PC, wherein z1 and z2 are both preset proportional coefficients, and z1 and z2 are both greater than 0; It should be noted that the purpose of obtaining the regional judgment value PC in this scheme is to calculate the regional judgment value PC by the abnormal quantity ratio YD and the abnormal degree value CD, and to make abnormal judgment on the archive sub-region through the analysis of quantity and degree; In some embodiments, the region determination value PC is compared with a region determination threshold; If the region determination value PC is greater than the region determination threshold, the archive sub-region corresponding to the region determination value PC is marked as an abnormal archive sub-region; If the region determination value PC is less than or equal to the region determination threshold, the archive sub-region corresponding to the region determination value PC is marked as a normal archive sub-region; The technical solution of the embodiment of the present invention is mainly as follows: based on the processing and analysis of the marking results of the archive labels in the archive sub-region, the abnormal number ratio YD and the abnormality degree value CD of the archive sub-region are obtained; according to the abnormal archive label number ratio YD and the abnormality degree value CD, the regional judgment value PC is calculated; based on the comparison result of the regional judgment value PC and the regional judgment threshold, the corresponding archive sub-region is marked as an abnormal archive sub-region and a normal archive sub-region. The present invention is conducive to abnormal judgment of the archive sub-region and facilitates archive management.

[0024] Embodiment 3: Based on Embodiment 2, a wireless communication detection method based on file management described in an embodiment of the present invention further includes the following steps: Step 4: During the detection period, electromagnetic data in the archive sub-area are obtained, wherein the electromagnetic data includes an electromagnetic intensity value, and an electromagnetic abnormality value is obtained based on the analysis of the electromagnetic data. The archive sub-area is marked by the electromagnetic abnormality value, and it is marked as an electromagnetic abnormal sub-area and an electromagnetic normal sub-area. The marked electromagnetic abnormal sub-area is overlapped with the abnormal archive sub-area to obtain an abnormal overlap sub-area, and processing and analysis are performed based on the abnormal overlap sub-area to obtain an overlap influence value CY, and whether the electromagnetic in the archive sub-area has an impact on the wireless signal transmission is judged according to the overlap influence value CY; In some embodiments, by setting a number of collection points in the archive sub-area, and using electromagnetic measurement equipment to collect electromagnetic intensity at each collection point, the electromagnetic intensity value of each collection point is obtained, and the electromagnetic intensity value of each collection point is summed and averaged to obtain the electromagnetic intensity value in the archive sub-area; Specifically, the electromagnetic intensity value in the archive sub-area is obtained and compared with a preset electromagnetic intensity value; If the electromagnetic intensity value is greater than the preset electromagnetic intensity value, an out-of-bounds signal is generated; If the electromagnetic intensity value is less than or equal to the preset electromagnetic intensity value, no processing is performed; In the detection cycle, the time period when the out-of-bounds signal appears is marked as the out-of-bounds period, and the duration corresponding to the out-of-bounds period is processed by ratio with the duration corresponding to the detection cycle to obtain the out-of-bounds duration ratio; During the out-of-bounds period, all electromagnetic intensity values ​​occurring during the out-of-bounds period are obtained, and the sum is averaged to obtain the electromagnetic intensity mean value, the electromagnetic intensity mean value is subjected to difference processing with the preset electromagnetic intensity value to obtain the electromagnetic intensity mean difference, and the electromagnetic intensity mean difference is subjected to ratio processing with the preset electromagnetic intensity value to obtain the out-of-bounds degree value; The electromagnetic anomaly value is obtained by summing the over-boundary duration ratio and the over-boundary degree value; In some embodiments, the electromagnetic anomaly value is compared to an electromagnetic anomaly threshold; If the electromagnetic anomaly value is greater than the electromagnetic anomaly threshold, the archive sub-region corresponding to the electromagnetic anomaly value is marked as an electromagnetic anomaly sub-region; If the electromagnetic anomaly value is less than or equal to the electromagnetic anomaly threshold, the archive sub-region corresponding to the electromagnetic anomaly value is marked as an electromagnetic normal sub-region; The electromagnetic anomaly sub-area and the abnormal archive sub-area are overlapped and analyzed, specifically: If the electromagnetic anomaly sub-region is the same as the archive sub-region corresponding to the abnormal archive sub-region, the archive sub-region corresponding to the electromagnetic anomaly sub-region and the abnormal archive sub-region is marked as an abnormal overlap sub-region; If the electromagnetic anomaly sub-region is different from the archive sub-region corresponding to the abnormal archive sub-region, no processing is performed; Count the number of all abnormal coincidence sub-regions, and perform ratio processing with the number of abnormal archive sub-regions to obtain the first impact value DY; Obtain the electromagnetic anomaly value and regional judgment value corresponding to each abnormal coincidence sub-region, construct an XY two-dimensional coordinate system with the electromagnetic anomaly value as the X-axis and the regional judgment value as the Y-axis, mark and connect the regional judgment value corresponding to each abnormal coincidence sub-region in the XY two-dimensional coordinate system, and obtain the influence change polyline; Divide the influence change polyline into a plurality of polyline segments, wherein the line connecting each two adjacent area judgment value data points is a polyline segment; Get the slope value of each polyline segment. If the slope value of the polyline segment is greater than 0, mark the polyline segment as an ascending polyline segment. If the slope value of the polyline segment is less than or equal to 0, mark the polyline segment as a non-ascending polyline segment. Count the number of rising broken line segments in the broken line segments, and perform ratio processing with the total number of broken line segments to obtain the rising performance value; Obtain the slope value of the rising broken line segment, mark it as the rising slope value, sum and average all the rising slope values ​​to obtain the rising slope mean, perform subtraction processing on the rising slope value and the rising slope mean, and take the absolute value of the difference to obtain the rising slope value difference, sum and average all the rising slope value differences to obtain the rising slope value mean difference; Compare the difference in upslope values ​​to the mean difference in upslope values: If the rising slope value difference is less than the rising slope value average difference, the corresponding rising broken line segment is marked as a synchronous rising broken line segment; If the rising slope value difference is greater than or equal to the rising slope value average difference, the corresponding rising broken line segment is marked as an asynchronous rising broken line segment; Count the number of synchronous ascending polyline segments, and perform ratio processing on it with the number of ascending polyline segments to obtain the synchronous performance value; The rising performance value and the synchronous performance value are summed to obtain the second impact value EY; The first impact value DY and the second impact value EY are processed by the formula: The overlap influence value CY is calculated, wherein m1 and m2 are both preset proportional coefficients, and both m1 and m2 are greater than 0; It should be noted that the overlap impact value CY in this scheme is calculated by the first impact value DY and the second impact value EY. The first impact value DY is obtained by processing and analyzing the number of abnormal overlap sub-regions. The first impact value DY reflects the proportion of the number of electromagnetic influences on the abnormal overlap sub-regions in the abnormal overlap sub-regions. The second impact value EY is obtained by processing and analyzing the electromagnetic anomaly value and the regional judgment value corresponding to each abnormal overlap sub-region. The second impact value EY reflects the proportion of the degree of influence of electromagnetic influence on the abnormal overlap sub-regions in the abnormal overlap sub-regions. Compare the coincidence impact value CY with the coincidence impact threshold: If the coincidence impact value CY is greater than or equal to the coincidence impact threshold, it means that electromagnetics have an impact on wireless signal transmission; If the coincidence impact value CY is less than the coincidence impact threshold, it means that the electromagnetic field has no impact on the wireless signal transmission; The technical solution of the embodiment of the present invention is mainly as follows: within the detection period, electromagnetic data in the archive sub-area is obtained, wherein the electromagnetic data includes an electromagnetic intensity value; based on the analysis of the electromagnetic data, an electromagnetic anomaly value is obtained; the archive sub-area is marked by the electromagnetic anomaly value, and it is marked as an electromagnetic anomaly sub-area and an electromagnetic normal sub-area; the marked electromagnetic anomaly sub-area and the abnormal archive sub-area are overlapped and analyzed to obtain an abnormal overlap sub-area; based on the abnormal overlap sub-area, processing and analysis are performed to obtain an overlap influence value CY; and whether the electromagnetic in the archive sub-area affects the wireless signal transmission is determined according to the overlap influence value CY. The present invention is conducive to judging the influencing factors that cause abnormal wireless signal transmission in the archive area, and is convenient for reducing the influence of the electromagnetic on the wireless signal transmission.

[0025] Example 4: Based on Example 1, Example 2 and Example 3, please refer to Figure 1 - Figure 2 As shown, a wireless communication monitoring system based on file management according to an embodiment of the present invention includes: Area division module: divide the archive area in the archive management room into multiple archive sub-areas of equal area according to the space uniformly, set a wireless signal sending device in each archive sub-area, and send wireless signals to the corresponding archive sub-area through the wireless signal sending device; Data acquisition and processing module: during the detection period, the wireless signal data received by the archive tag in the archive sub-area is obtained, wherein the wireless signal data includes the wireless signal strength value, and the signal performance value XB is obtained based on the received wireless signal strength value processing and analysis; Abnormal analysis module: judges whether the wireless signal received by the archive tag is normal according to the signal performance value XB, and marks the archive tag according to the judgment result, marking the archive tag as a normal archive tag or an abnormal archive tag; Area determination module: Based on the processing and analysis of the marking results of the archive labels in the archive sub-area, the abnormal number ratio YD and the abnormality degree value CD of the archive sub-area are obtained. According to the abnormal archive label number ratio YD and the abnormality degree value CD, the area determination value PC is calculated. Based on the comparison result of the area determination value PC and the area determination threshold, the corresponding archive sub-area is marked as an abnormal archive sub-area and a normal archive sub-area; Electromagnetic impact analysis module: within the detection period, electromagnetic data in the archive sub-area are obtained, wherein the electromagnetic data include electromagnetic intensity values; based on the analysis of the electromagnetic data, electromagnetic anomaly values ​​are obtained; the archive sub-area is marked by the electromagnetic anomaly values, and marked as electromagnetic anomaly sub-area and electromagnetic normal sub-area; the marked electromagnetic anomaly sub-area is overlapped with the abnormal archive sub-area and analyzed to obtain an abnormal overlap sub-area; based on the abnormal overlap sub-area, processing and analysis are performed to obtain an overlap impact value CY; and whether the electromagnetic in the archive sub-area has an impact on the wireless signal transmission is determined according to the overlap impact value CY.

[0026] The above shows and describes the basic principles, main features and advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A wireless communication detection method based on file management, characterized in that: Step 1: The archive area in the archive management room is evenly divided into a plurality of archive sub-areas of equal area according to the space, a wireless signal sending device is set in each archive sub-area, and a wireless signal is sent to the corresponding archive sub-area through the wireless signal sending device; Step 2: During the detection period, the wireless signal data received by the archive tag in the archive sub-area is obtained, wherein the wireless signal data includes a wireless signal strength value, and a signal performance value XB is obtained based on the received wireless signal strength value. According to the signal performance value XB, it is judged whether the wireless signal received by the archive tag is normal, and the archive tag is marked according to the judgment result, and the archive tag is marked as a normal archive tag and an abnormal archive tag; Step 3: Based on the analysis of the marking results of the archive labels in the archive sub-region, the abnormal number ratio YD and the abnormality degree value CD of the archive sub-region are obtained. According to the abnormal archive label number ratio YD and the abnormality degree value CD, the regional judgment value PC is calculated. Based on the comparison result of the regional judgment value PC and the regional judgment threshold, the corresponding archive sub-region is marked as an abnormal archive sub-region and a normal archive sub-region; Step 4: During the detection period, electromagnetic data in the archive sub-area are obtained, wherein the electromagnetic data includes electromagnetic intensity values. Based on the analysis of the electromagnetic data, electromagnetic anomaly values ​​are obtained. The archive sub-area is marked by the electromagnetic anomaly values, and marked as electromagnetic anomaly sub-areas and electromagnetic normal sub-areas. The marked electromagnetic anomaly sub-areas are overlapped with the abnormal archive sub-areas to obtain abnormal overlap sub-areas. Based on the abnormal overlap sub-areas, processing and analysis are performed to obtain overlap impact values ​​CY. According to the overlap impact values ​​CY, it is determined whether the electromagnetic in the archive sub-area has an impact on the wireless signal transmission.

2. A wireless communication detection method based on file management according to claim 1, characterized in that: The signal performance value XB is obtained as follows: The fluctuation range ratio BF and the fluctuation amplitude ratio BC are processed by the formula: The signal performance value XB is calculated, where s1 and s2 are both preset proportional coefficients, and both s1 and s2 are greater than 0.

3. A wireless communication detection method based on file management according to claim 2, characterized in that: The fluctuation range ratio BF and the fluctuation amplitude ratio BC are obtained as follows: During the detection period, the wireless signal strength values ​​received by the archive tag at different time nodes in the archive sub-area are obtained, the wireless signal strength values ​​received by the archive tag at different time nodes in the archive sub-area are taken as the Y-axis, and the different time nodes corresponding to the wireless signal strength received by the archive tag are taken as the X-axis, an XY two-dimensional coordinate system is constructed, and the wireless signal strength values ​​received by the archive tag at different time nodes are marked and connected in the coordinate system to obtain a signal strength curve; Mark the preset wireless signal strength value on the Y axis in the XY two-dimensional coordinate system, draw a straight line parallel to the X axis through the marked point, and mark it as the reference line; Compare the baseline with the signal strength curve, and mark the curve that does not overlap between the baseline and the signal strength curve as an abnormal curve. If the abnormal curve is above the baseline, it is marked as a high-fluctuation abnormal curve; if the abnormal curve is below the baseline, it is marked as a low-fluctuation abnormal curve; Measure the area enclosed by each abnormal curve and the baseline, and sum and average them to obtain the average value of the area enclosed by the abnormal curve; Measure the area between the baseline and the X-axis and mark it as the reference area. Ratio the mean of the area enclosed by the abnormal curve to the reference area to obtain the fluctuation range ratio BF. Measure the vertical distance between the highest point of each high-fluctuation abnormal curve and the baseline, and sum and average them to obtain the mean of the high-fluctuation curve distance. Measure the vertical distance between the lowest point of each low-fluctuation curve and the baseline, and sum and average them to obtain the mean of the low-fluctuation curve distance. Sum the mean of the high-fluctuation curve distance and the mean of the low-fluctuation curve distance to obtain the abnormal curve fluctuation distance. Measure the vertical distance between the baseline and the X-axis, and mark it as the reference distance. Ratio the abnormal curve fluctuation distance to the reference distance to obtain the fluctuation amplitude ratio BC.

4. The wireless communication detection method based on file management according to claim 1, characterized in that: The area determination value PC is obtained as follows: The obtained abnormal quantity ratio YD and abnormal degree value CD are processed by data, and the formula is: The area determination value PC is obtained, wherein z1 and z2 are both preset proportional coefficients, and z1 and z2 are both greater than 0.

5. A wireless communication detection method based on file management according to claim 4, characterized in that: The method of obtaining the abnormal quantity ratio YD and the abnormal degree value CD is as follows: Obtain the number of abnormal archive labels in the archive sub-region, and perform ratio processing on it with the total number of archive labels in the archive sub-region to obtain the abnormal number ratio YD; The signal performance value XB corresponding to the abnormal file label in the archive sub-area is obtained, and the difference is processed with the signal performance threshold to obtain the signal performance difference corresponding to the abnormal file label. The signal performance differences corresponding to all abnormal file labels in the archive sub-area are summed and averaged to obtain the mean signal performance difference. The mean signal performance difference is ratioed with the signal performance threshold to obtain the abnormality degree value CD.

6. A wireless communication detection method based on file management according to claim 1, characterized in that: The overlap influence value CY is obtained as follows: The first impact value DY and the second impact value EY are processed by the formula: The overlap influence value CY is calculated, where m1 and m2 are both preset proportional coefficients, and both m1 and m2 are greater than 0.

7. A wireless communication detection method based on file management according to claim 6, characterized in that: The first impact value DY is obtained in the following manner: Obtaining the electromagnetic intensity value within the archive sub-area and comparing it with the preset electromagnetic intensity value; If the electromagnetic intensity value is greater than the preset electromagnetic intensity value, an out-of-bounds signal is generated; If the electromagnetic intensity value is less than or equal to the preset electromagnetic intensity value, no processing is performed; In the detection cycle, the time period when the out-of-bounds signal appears is marked as the out-of-bounds period, and the duration corresponding to the out-of-bounds period is processed by ratio with the duration corresponding to the detection cycle to obtain the out-of-bounds duration ratio; During the out-of-bounds period, all electromagnetic intensity values ​​occurring during the out-of-bounds period are obtained, and the sum is averaged to obtain the electromagnetic intensity mean value, the electromagnetic intensity mean value is subjected to difference processing with the preset electromagnetic intensity value to obtain the electromagnetic intensity mean difference, and the electromagnetic intensity mean difference is subjected to ratio processing with the preset electromagnetic intensity value to obtain the out-of-bounds degree value; The electromagnetic anomaly value is obtained by summing the over-boundary duration ratio and the over-boundary degree value; In some embodiments, the electromagnetic anomaly value is compared to an electromagnetic anomaly threshold; If the electromagnetic anomaly value is greater than the electromagnetic anomaly threshold, the archive sub-region corresponding to the electromagnetic anomaly value is marked as an electromagnetic anomaly sub-region; If the electromagnetic anomaly value is less than or equal to the electromagnetic anomaly threshold, the archive sub-region corresponding to the electromagnetic anomaly value is marked as an electromagnetic normal sub-region; The electromagnetic anomaly sub-area and the abnormal archive sub-area are overlapped and analyzed, specifically: If the electromagnetic anomaly sub-region is the same as the archive sub-region corresponding to the abnormal archive sub-region, the archive sub-region corresponding to the electromagnetic anomaly sub-region and the abnormal archive sub-region is marked as an abnormal overlap sub-region; If the electromagnetic anomaly sub-region is different from the archive sub-region corresponding to the abnormal archive sub-region, no processing is performed; The number of all abnormal overlapping sub-regions is counted and compared with the number of abnormal archive sub-regions to obtain the first impact value DY.

8. A wireless communication detection method based on file management according to claim 6, characterized in that: The second impact value EY is obtained as follows: Obtain the electromagnetic anomaly value and regional judgment value corresponding to each abnormal coincidence sub-region, construct an XY two-dimensional coordinate system with the electromagnetic anomaly value as the X-axis and the regional judgment value as the Y-axis, mark and connect the regional judgment value corresponding to each abnormal coincidence sub-region in the XY two-dimensional coordinate system, and obtain the influence change polyline; Divide the influence change polyline into a plurality of polyline segments, wherein the line connecting each two adjacent area judgment value data points is a polyline segment; Get the slope value of each polyline segment. If the slope value of the polyline segment is greater than 0, mark the polyline segment as an ascending polyline segment. If the slope value of the polyline segment is less than or equal to 0, mark the polyline segment as a non-ascending polyline segment. Count the number of rising broken line segments in the broken line segments, and perform ratio processing with the total number of broken line segments to obtain the rising performance value; Obtain the slope value of the rising broken line segment, mark it as the rising slope value, sum and average all the rising slope values ​​to obtain the rising slope mean, perform subtraction processing on the rising slope value and the rising slope mean, and take the absolute value of the difference to obtain the rising slope value difference, sum and average all the rising slope value differences to obtain the rising slope value mean difference; Compare the difference in upslope values ​​to the mean difference in upslope values: If the rising slope value difference is less than the rising slope value average difference, the corresponding rising broken line segment is marked as a synchronous rising broken line segment; If the rising slope value difference is greater than or equal to the rising slope value average difference, the corresponding rising broken line segment is marked as an asynchronous rising broken line segment; Count the number of synchronous ascending polyline segments, and perform ratio processing on it with the number of ascending polyline segments to obtain the synchronous performance value; The rising performance value and the synchronous performance value are summed to obtain the second impact value EY.

9. A wireless communication detection method based on file management according to claim 6, characterized in that: The method for obtaining the judgment result of whether the electromagnetic field in the archive sub-area affects the wireless signal transmission is as follows: Compare the coincidence impact value CY with the coincidence impact threshold: If the coincidence impact value CY is greater than or equal to the coincidence impact threshold, it means that electromagnetics have an impact on wireless signal transmission; If the coincidence impact value CY is less than the coincidence impact threshold, it means that the electromagnetic has no impact on the wireless signal transmission.

10. A wireless communication monitoring system based on file management, characterized in that: The system is used to execute the method described in any one of claims 1 to 9, and the system comprises: Area division module: divide the archive area in the archive management room into multiple archive sub-areas of equal area according to the space uniformly, set a wireless signal sending device in each archive sub-area, and send wireless signals to the corresponding archive sub-area through the wireless signal sending device; Data acquisition and processing module: during the detection period, the wireless signal data received by the archive tag in the archive sub-area is obtained, wherein the wireless signal data includes the wireless signal strength value, and the signal performance value XB is obtained based on the received wireless signal strength value processing and analysis; Abnormal analysis module: judges whether the wireless signal received by the archive tag is normal according to the signal performance value XB, and marks the archive tag according to the judgment result, marking the archive tag as a normal archive tag or an abnormal archive tag; Area determination module: Based on the processing and analysis of the marking results of the archive labels in the archive sub-area, the abnormal number ratio YD and the abnormality degree value CD of the archive sub-area are obtained. According to the abnormal archive label number ratio YD and the abnormality degree value CD, the area determination value PC is calculated. Based on the comparison result of the area determination value PC and the area determination threshold, the corresponding archive sub-area is marked as an abnormal archive sub-area and a normal archive sub-area; Electromagnetic impact analysis module: within the detection period, electromagnetic data in the archive sub-area are obtained, wherein the electromagnetic data include electromagnetic intensity values; based on the analysis of the electromagnetic data, electromagnetic anomaly values ​​are obtained; the archive sub-area is marked by the electromagnetic anomaly values, and marked as electromagnetic anomaly sub-area and electromagnetic normal sub-area; the marked electromagnetic anomaly sub-area is overlapped with the abnormal archive sub-area and analyzed to obtain an abnormal overlap sub-area; based on the abnormal overlap sub-area, processing and analysis are performed to obtain an overlap impact value CY; and whether the electromagnetic in the archive sub-area has an impact on the wireless signal transmission is determined according to the overlap impact value CY.

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