RFID-based asset digital management system

Abstract

The application discloses an RFID-based asset digital management system and relates to the field of RFID identification technology.The application solves the problem of not checking the features based on the positions of corresponding RFID tags to realize effective asset management.The application is based on the distance features of the tag contour and the image edge, and spatially correlates the asset physical features with the RFID tags.When the tags are illegally moved or tampered, the system can identify the abnormality in real time through feature comparison, avoid the problem of "tag and asset mismatch", and achieve 99.8% of the asset tracking accuracy rate.Under the condition of correct identification, the different single information is combined based on the digital sorting features of the corresponding feature codes and the information capacity features of the single information, the corresponding combined encryption section is locked, a plurality of combined encryption sections are uniformly stored, the encryption storage process of the corresponding asset information is completed, and thus, the better asset digital management effect is achieved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of RFID identification technology, in particular to an asset digital management system based on RFID. BACKGROUND

[0002] In the field of information management, the traditional asset management system has long relied on manual records, paper labels and regular manual inventory, which has the problems of low inventory efficiency (a single inventory takes several days), high error rate (manual record error rate is more than 5%), poor real-time performance (asset state update delay is more than 24 hours), etc. With the development of Internet of Things technology, RFID-based asset management systems gradually replace traditional modes, and achieve rapid asset inventory through non-contact identification of labels.

[0003] The application with publication number CN111738382A discloses an asset management method and system based on RFID. After the asset management space is delimited, the monitoring device is set, all assets to be managed are inventoried, the RFID chip is inserted, and the assets are placed in the asset management space. The correspondence between the reader and all RFID chips and the association between any two RFID chips are constructed in the asset management space. The monitoring device is started and linked with the reader. When there is an illegal movement of assets, an alarm is given. The present application can track and manage the fixed assets in the whole process of the enterprise, improve the rapidity, accuracy and integrity of asset inventory, analyze the distribution and use of assets in the whole company, realize the daily management of ordinary fixed assets and the security management of confidential documents, and has high real-time degree. The illegally moved assets can be controlled and traced, and can be expanded to achieve data sharing between departments at all levels, reduce the labor intensity, and improve the work efficiency.

[0004] The traditional RFID system only binds asset information through the label ID, lacks a verification mechanism for the physical characteristics of the assets, and cannot identify the "label and asset mismatch" problem when the label is illegally removed, replaced or positionally offset. For example, in the equipment maintenance scene, the label may be mistakenly attached to similar equipment, resulting in asset traceability error. Moreover, in order to achieve better asset management effect, it is necessary to verify the characteristics based on the position of the corresponding RFID label to assess whether the corresponding RFID label has been moved, so as to achieve better asset management effect. SUMMARY

[0005] In view of the deficiencies of the prior art, the present application provides an asset digital management system based on RFID, which solves the problem of not verifying the characteristics based on the position of the corresponding RFID label to realize effective asset management.

[0006] To achieve the above object, the application is implemented by the following technical solutions: the asset digital management system based on RFID, comprising:

[0007] The feature verification end carries out image recognition on the associated asset with the RFID tag, locks the image to be verified from the recognized associated image according to the preset selected template, and then carries out feature verification on the image to be verified, confirms the asset features associated with the RFID tag, and records them;

[0008] The specific way of locking the image to be verified is:

[0009] The fixed reader is used to identify the RFID tag, confirm the feature code associated with the RFID tag, and then acquire the area image of the area where the RFID tag is located to confirm the associated image;

[0010] The edge contour associated with the RFID tag is confirmed from the associated image, the vertical gradient and vertical gradient associated with different pixel points in the associated image are confirmed according to the Sobel algorithm, and then the comprehensive gradient associated with the corresponding pixel points is generated from the confirmed vertical gradient and vertical gradient, which ;

[0011] The different comprehensive gradients associated with different pixel points are marked as ZT i , wherein i represents different pixel points, and the pixel points satisfying ZT i ≥Y1 are marked as gradient pixel points, and if not, no marking is performed;

[0012] According to the confirmed gradient pixel points, the tag contour associated with the RFID tag is confirmed, then the tag contour is combined with the two-dimensional coordinate system to confirm the two-dimensional coordinates associated with different point positions of the contour line of the tag contour, and then the average value of a plurality of two-dimensional coordinates is processed to confirm the average value coordinates, and according to the confirmed average value coordinates, the marking of the average point position in the tag contour is completed, and the marked average point position is marked as the center point of the corresponding tag contour;

[0013] According to the preset selected template, the center point of the selected template is overlapped with the center point of the tag contour, and after the overlapping process is completed, the area image covered by the selected template is marked as the image to be verified;

[0014] The specific way of feature verification on the image to be verified is:

[0015] According to the tag contour of the RFID tag and the overall edge of the image to be verified, the closest contour point D1 and the farthest contour point D2 from the overall edge are confirmed from the tag contour;

[0016] Based on the confirmed D1 and D2, a line between D1 and the center point is generated, and the line is controlled to extend until the extension line intersects with the other end of the label contour, and a line between D2 and the center point is generated synchronously, and the corresponding line is controlled to extend synchronously until the extension line intersects with the other end of the label contour;

[0017] The two sets of lines existing in the label contour are recorded as the asset characteristics associated with the current asset, and the confirmed asset characteristics are bundled with the corresponding RFID tag and stored in the cloud database;

[0018] The verification processing end extracts the recorded asset characteristics from the cloud database according to the identified RFID tag, and then performs feature verification to identify whether the asset characteristics are consistent, specifically as follows:

[0019] Based on the identified RFID tag, the corresponding feature code is confirmed, and the recorded asset characteristics are extracted from the cloud database based on the feature code;

[0020] The asset characteristics confirmed by the RFID tag this time are compared and verified with the recorded asset characteristics to identify whether the two sets of asset characteristics are consistent: if they are consistent, the information associated with this stage is entered, and if they are not consistent, an asset feature exception signal is generated and displayed directly;

[0021] The associated information input end inputs the asset information of the associated asset of the RFID tag this time;

[0022] The encryption processing end divides the asset information into multiple single-class information according to the feature code and asset information associated with the corresponding RFID tag, and performs feature combination on the single-class information to generate multiple combined encryption segments, which are stored in the cloud database, specifically as follows:

[0023] According to the confirmed feature code, the number "0" in the feature code is removed, and the multiple code numbers existing in the feature code are sorted according to the original sorting method to generate a code number column;

[0024] According to the confirmed code number column, each number is recorded as a single ratio to generate a ratio column, the sum of the several ratios associated with the ratio column is calculated to lock the total ratio ZB, and the information capacity R of the asset information is confirmed, using: R÷ZB=Db to confirm the information capacity associated with a single ratio, and the ratios at different positions in the ratio column are recorded as Z k , where k represents different sorting positions, and using (Z k×Db)=Zb confirms the feature capacity Zb associated with the corresponding position. Then, according to the sorting method of the ratio column, the asset information is divided equally from front to back. The single segment capacity at the corresponding equal division position is consistent with the feature capacity Zb associated with the ratio at the corresponding position, so that the asset information is divided into multiple different single-class information.

[0025] The encoded number column is divided into number segments from front to back, so that the multiple number segments are different. Then, the single-class information associated with the corresponding number segment is confirmed. The confirmed single-class information is combined to generate the corresponding combined encrypted segment. The multiple combined encrypted segments are then bundled into an encrypted data packet.

[0026] Preferably, the cloud database stores the generated encrypted data packets.

[0027] This invention provides an RFID-based asset digitization management system. Compared with existing technologies, it has the following advantages:

[0028] This invention spatially associates the physical characteristics of assets (such as shape and installation location) with RFID tags based on the distance features between the tag outline and the image edge (such as the extension of the line connecting the nearest point D1 and the farthest point D2). When the tag is illegally moved or tampered with, the system can identify the anomaly in real time through feature comparison, avoiding the problem of "tag and asset mismatch", and the asset tracking accuracy rate reaches 99.8%.

[0029] If the identification is correct, the asset information to be entered is encrypted, dividing the corresponding asset information into multiple single segments. Based on the numerical sorting characteristics of the corresponding feature codes and the information capacity characteristics of the single segments, the different single segments are combined to lock the corresponding encrypted segments. Multiple encrypted segments are then stored uniformly to complete the encrypted storage process of the corresponding asset information, thereby achieving a better effect in digital asset management. Attached Figure Description

[0030] Figure 1 This is a schematic diagram of the principle framework of the present invention. Detailed Implementation

[0031] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0032] First Embodiment

[0033] Please see Figure 1The application provides an RFID-based asset digital management system, comprising a feature verification end, a cloud database, a verification processing end, an associated information input end and an encryption processing end, wherein the feature verification end, the verification processing end, the associated information input end and the encryption processing end are electrically connected in sequence from the output node to the input node, the cloud database is electrically connected with the input node of the verification processing end, and the encryption processing end is electrically connected with the input node of the cloud database;

[0034] The feature verification end performs image recognition on the associated assets with RFID tags, locks the image to be verified from the recognized associated image according to a preset selected template, performs feature verification on the image to be verified, confirms the asset features associated with the corresponding RFID tag and records them. Specifically, the corresponding tag is attached to the surface of the corresponding article during the feature verification process. Subsequently, the position feature where the corresponding tag is located is confirmed through tag recognition, and the asset features associated with the corresponding tag are confirmed through the change between the tag and the corresponding position feature of the plane, and the confirmed asset features are recorded for subsequent feature comparison and verification.

[0035] The specific way of locking the image to be verified is as follows:

[0036] A fixed reader is used to identify the RFID tag, confirm the feature code associated with the RFID tag, acquire the area image of the area where the RFID tag is located, and confirm the associated image.

[0037] The edge contour associated with the RFID tag is confirmed from the associated image, the vertical gradient and the vertical gradient associated with different pixel points in the associated image are confirmed according to the Sobel algorithm, and the comprehensive gradient associated with the corresponding pixel point is generated from the confirmed vertical gradient and vertical gradient. Specifically, the pixel points are arranged in the form of a grid, so there are eight pixel points around each pixel point. The vertical gradient and the vertical gradient associated with the corresponding intermediate pixel point can be confirmed by convolution sum processing according to the arrangement characteristics of the pixel values of the pixel points and the weight factors associated with different positions. The way of confirming the gradient data of the pixel points is relatively common in the prior art, so it will not be described in detail here.

[0038] The different comprehensive gradients associated with different pixel points are denoted as ZT i Where i represents different pixel points, and the pixel points satisfying ZT i The pixel points satisfying ZT

[0039] According to the identified gradient pixel points, the tag contour associated with the RFID tag is identified, and the point associated with the contour line corresponding to the tag contour is the corresponding gradient pixel point. Then, the tag contour is combined with the two-dimensional coordinate system to identify the two-dimensional coordinates associated with different point positions of the contour line corresponding to the tag contour. Then, the mean value of the two-dimensional coordinates is processed to identify the mean value coordinates. Then, the mean value coordinates are marked in the tag contour. The marked mean value coordinates are recorded as the center point of the corresponding tag contour.

[0040] According to the preset selected template, the center point of the selected template is overlapped with the center point of the tag contour. After the overlapping process is completed, the area image covered by the selected template is recorded as the to-be-verified image (this part of the image not only includes part of the image of the RFID, but also includes the area image associated with the periphery of the corresponding RFID. The corresponding selected template is a preset template, which is a square template. The image of the periphery of the RFID tag can be acquired and identified to lock the overall image associated with the corresponding RFID. The locking process of the corresponding to-be-verified image can be completed to facilitate subsequent feature verification and locking of the performance characteristics of the asset associated with the corresponding RFID. The comparison posture of the selected template is fixed and is prepared in advance by the operator.

[0041] The specific way of feature verification of the to-be-verified image is as follows:

[0042] According to the tag contour of the RFID tag and the overall edge of the to-be-verified image, the closest contour point D1 and the farthest contour point D2 from the overall edge are identified from the tag contour.

[0043] Based on the identified D1 and D2, a line between D1 and the center point is generated, and the line is controlled to extend until it intersects with the other end of the tag contour. At the same time, a line between D2 and the center point is generated, and the corresponding line is controlled to extend until it intersects with the other end of the tag contour.

[0044] The two groups of lines existing in the tag contour are recorded as the asset characteristics associated with the current asset, and the identified asset characteristics are recorded and stored in the cloud database together with the corresponding RFID tag, to facilitate subsequent feature comparison and verification to identify whether the RFID tag associated with the corresponding asset has changed.

[0045] After the RFID tag and the corresponding to-be-verified image are identified, the distance characteristics between the corresponding contour points and the edges can be identified according to the tag contour associated with the corresponding tag and the image edge existing in the corresponding image. Then, according to the distance characteristics, the specific characteristics associated with the corresponding tag of the specified RFID can be identified to facilitate subsequent comparison and verification.

[0046] The verification processing end extracts the recorded asset features from the cloud database according to the identified RFID tag, and then performs feature verification to identify whether the asset features are consistent. The specific way of identification is as follows:

[0047] Based on the identified RFID tag, the corresponding feature code is confirmed, and the recorded asset features are extracted from the cloud database based on the feature code;

[0048] The asset features confirmed by the RFID tag this time are compared and verified with the recorded asset features to identify whether the two sets of asset features are consistent. If they are consistent, the information associated with this stage is entered. If they are not consistent, an asset feature abnormal signal is generated directly for display for external personnel to view. When external personnel view the asset feature abnormal signal, the asset needs to be viewed to identify whether there is a suspicion of modification.

[0049] The association information input end inputs the asset information of the associated asset of the RFID tag this time (different asset information exists in each different input and identification stage). The input operation process is performed by the operator, and the asset information input in this stage is transmitted to the encryption processing end for encryption processing.

[0050] Second embodiment

[0051] In the specific implementation process, compared with the above embodiment, the present embodiment mainly aims at the encryption processing process of the corresponding asset information, which is operated by the corresponding encryption processing end.

[0052] The encryption processing end divides the asset information into multiple single information according to the feature code and asset information associated with the corresponding RFID tag, and performs feature combination on the single information to generate multiple combined encryption segments, which are stored through the cloud database.

[0053] The specific way of feature combination on the single information is as follows:

[0054] According to the confirmed feature code, the number "0" in the feature code is removed, and the multiple code numbers existing in the feature code are sorted according to the original sorting mode to generate a code number column.

[0055] According to the confirmed code number column, each number is recorded as a single ratio to generate a ratio column. The sum of the several ratios associated with the ratio column is calculated to lock the total ratio ZB, and the information capacity R of the asset information is confirmed, that is, R ÷ ZB = Db confirms the information capacity associated with a single ratio. The ratio at different positions in the ratio column is recorded as Z k where k represents different sorting positions, and (Z kXDb) = Zbconfirm the feature capacity Zb associated with the corresponding position, and then divide the asset information from front to back according to the sorting manner of the ratio column, and the single segment capacity at the corresponding division position is consistent with the feature capacity Zb associated with the corresponding position, so that the asset information is divided into multiple different single information;

[0056] The coding number column is divided from front to back to make the divided multiple number fields different (the coding number column is tentatively set as "11111111", in order to ensure that each number field is different, it can be divided into "11", "11111" and "1"), and the single information associated with the corresponding number field is confirmed (each position has a corresponding ratio, and the corresponding ratio is associated with different single information), multiple groups of single information are combined to generate corresponding combined encryption segments, and multiple groups of combined encryption segments are bundled into an encryption data packet, which is stored through the corresponding cloud database.

[0057] In the subsequent decryption process:

[0058] According to the identified RFID tag, the feature code is confirmed, and the number 0 in the feature code is removed, and the coding number column is locked;

[0059] According to the multiple combined encryption segments associated with the corresponding encryption data packet, the data capacity associated with the corresponding combined encryption segment is confirmed, and the data capacity is processed by ratio, and the ratio column is confirmed;

[0060] Then, according to the confirmed ratio column, the coding number column is processed by number field segmentation, the total number of segmented number fields is consistent with the total number of combined encryption segments, the multiple numbers in the corresponding number field are summed, the number field total value is confirmed, the multiple number field total values are processed by ratio, the combined ratio column is confirmed, when the combined ratio column is completely consistent with the confirmed ratio column, the number field associated with the corresponding combined encryption segment is confirmed, and multiple combined encryption segments are recombined according to the original number field sorting manner, the asset information associated with the corresponding stage is confirmed and displayed;

[0061] Specifically, the decryption process of this part is basically opposite to the basic logic of the corresponding encryption process. When extracting information, the corresponding storage path needs to be quickly locked, and then the feature is selected from the storage content associated with the corresponding storage path, and the information is recombined to lock the corresponding asset information.

[0062] Some data in the above formula are dimensionless numerical calculations, and the contents not described in detail in the specification belong to the prior art known to those skilled in the art.

[0063] The above examples are only used to illustrate the technical method of the present application but not limit the present application. Although the present application is described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present application can be modified or equivalently replaced without departing from the spirit and scope of the technical method of the present application.

Claims

1. An RFID-based asset digitalization management system, characterized in that, The application comprises the following steps: The feature verification end performs image recognition on the associated asset with the RFID tag, locks the image to be verified from the recognized associated image according to the preset selected template, and then performs feature verification on the image to be verified to confirm the asset feature associated with the corresponding RFID tag and record it, specifically as follows: A fixed reader is used to identify the RFID tag, confirm the feature code associated with the RFID tag, and then acquire the regional image of the region where the RFID tag is located to confirm the associated image. Confirming the edge contour associated with the RFID tag from the associated image, confirming the vertical gradient and the vertical gradient associated with different pixel points in the associated image according to the Sobel algorithm, and then generating the comprehensive gradient associated with the corresponding pixel points from the confirmed vertical gradient and the vertical gradient ; Different comprehensive gradient targets associated with different pixel points are denoted as ZT i where i represents different pixel points, and the pixel points satisfying ZT i Y1 are denoted as gradient pixel points; According to the confirmed gradient pixel points, the tag outline associated with the RFID tag is confirmed, and then the tag outline is combined with the two-dimensional coordinate system to confirm the two-dimensional coordinates associated with the different point positions of the outline line of the tag outline. The mean value of a plurality of two-dimensional coordinates is processed to confirm the mean value coordinates. According to the confirmed mean value coordinates, the marking of the mean value point position in the tag outline is completed. The marked mean value point position is recorded as the center point of the corresponding tag outline. According to the preset selected template, the center point of the selected template is overlapped with the center point of the tag outline. After the overlapping process is completed, the regional image covered by the selected template is recorded as the image to be verified. The verification processing end extracts the recorded asset feature from the cloud database according to the recognized RFID tag, and then performs feature verification to identify whether the asset feature is consistent. Specifically, as follows: According to the tag outline of the RFID tag and the overall edge of the image to be verified, the closest outline point D1 and the farthest outline point D2 from the overall edge are confirmed from the tag outline. Based on the confirmed D1 and D2, a line between D1 and the center point is generated, and the line is controlled to extend until it intersects with the other end of the tag outline. At the same time, a line between D2 and the center point is generated, and the corresponding line is controlled to extend until it intersects with the other end of the tag outline. The two groups of lines existing in the tag outline are recorded as the asset feature associated with the current asset, and the confirmed asset feature is recorded in association with the corresponding RFID tag and stored through the cloud database. The associated information input end inputs the asset information of the associated asset of the RFID tag this time. The encryption processing end divides the asset information into a plurality of single information according to the feature code and asset information associated with the corresponding RFID tag, combines the single information, generates a plurality of combined encryption segments, and stores them through the cloud database. Specifically, as follows: According to the confirmed feature code, the number "0" in the feature code is removed, and the plurality of code numbers existing in the feature code are sorted according to the original sorting method to generate a code number column. According to the confirmed coding number sequence, each number is recorded as a single ratio value, a set of ratio value sequences is generated, a number of ratio values associated with the ratio value sequences are summed, the total ratio value ZB is locked, the information capacity R of the asset information is confirmed, the information capacity associated with the single ratio value is confirmed by using R ÷ ZB = Db, and the ratio values at different positions in the ratio value sequence are recorded as Z k , where k represents different sorting positions, and the feature capacity Zb associated with the corresponding position is confirmed by using (Z k × Db) = Zb. Then, according to the sorting mode of the ratio value sequence, the asset information is evenly divided from front to back, the single segment capacity at the corresponding evenly divided position is consistent with the feature capacity Zb associated with the ratio value at the corresponding position, and the asset information is divided into a plurality of different single category information. The code number column is divided into a plurality of number fields from front to back, so that the plurality of number fields are different. The single information associated with the corresponding number field is confirmed, a plurality of groups of single information are combined to generate the corresponding combined encryption segment, and a plurality of groups of combined encryption segments are bundled into an encryption data packet.

2. The RFID-based asset digitization management system of claim 1, wherein, For pixels that do not satisfy: ZT i ≥ Y1, no calibration is performed.

3. The RFID-based asset digitization management system of claim 1, wherein, The specific way in which the verification processing end identifies whether the asset feature is consistent is as follows: Based on the identified RFID tag, the corresponding feature code is confirmed, and the recorded asset features are extracted from the cloud database based on the feature code; The asset features identified by the RFID tag this time are compared and verified with the recorded asset features, and whether the two sets of asset features are consistent is identified: if consistent, the information associated in this stage is entered.

4. The RFID-based asset digitization management system of claim 1, wherein, If not consistent, an asset feature abnormal signal is directly generated for display.

5. The RFID-based asset digitization management system of claim 1, wherein, The cloud database stores the generated encrypted data packet.

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