Intelligent identification system based on RFID technology and identification method thereof

Abstract

The invention discloses an intelligent identification system based on an RFID technology and an identification method thereof, and relates to the technical field of radio frequency identification, the intelligent identification system comprises a storage database, a task confirmation module, a self-inspection confirmation module, an identification execution module, an abnormity detection module, an abnormity processing module, a data updating module and an alarm module; the storage database is used for recording and storing a metering product list in the database; the task confirmation module is used for pre-determining work order tasks of warehouse-in and warehouse-out and user authentication before the warehouse-in and warehouse-out process is executed; the self-checking confirmation module is used for self-checking the execution state of the radio frequency door and judging whether the radio frequency door can work normally or not; the execution state self-checking comprises power supply state self-checking and recognition performance self-checking; when the execution state self-checking result is normal, a normal execution signal is sent to the next process; according to the scheme, the intelligent identification process of the metered product in and out of the warehouse is realized, and the fine management of the product is effectively realized.

Description

TECHNICAL FIELD

[0001] The application relates to the field of radio frequency identification technology, in particular to an intelligent identification system based on RFID technology and an identification method thereof. BACKGROUND

[0002] Warehouse management is a key link in the whole life cycle management of measurement assets. Currently, the warehouse measurement assets in and out of the warehouse are checked by manual work, which is large in workload and low in efficiency. When facing the large single measurement asset in and out of the province center distribution business, the equipment cannot be counted box by box and piece by piece, the measurement assets are prone to be inconsistent with the system account, and the in and out of the warehouse monitoring equipment needs to be intelligently upgraded.

[0003] The radio frequency door is mainly used for non-contact identification in automatic data acquisition, asset tracking and anti-counterfeiting traceability in measurement products, significantly reduces manual operation in code scanning and inputting, warehouse management, operation and maintenance inspection and the like, and reduces labor cost. However, according to the actual operation results, the inventory data obtained by the measurement products in and out of the warehouse still has the problem of accuracy, and therefore how to improve the accuracy of the identification data and further realize fine management becomes a problem to be solved by the personnel in the field. SUMMARY

[0004] The application aims to provide an intelligent identification system based on RFID technology and an identification method thereof to solve the problems in the background technology.

[0005] In order to solve the above technical problems, the application provides the following technical scheme: an intelligent identification system based on RFID technology, comprising a storage database, a task confirmation module, a self-checking confirmation module, an identification execution module, an abnormality detection module, an abnormality processing module, a data updating module and an alarm module; the storage database is used for recording and storing the measurement product list in the warehouse; the task confirmation module is used for pre-determining the work order task in and out of the warehouse and user authentication before the execution of the in and out of the warehouse process; the self-checking confirmation module is used for self-checking the execution state of the radio frequency door to determine whether it can work normally; the execution state self-checking includes power supply state self-checking and identification performance self-checking; when the results of the execution state self-checking are all normal, a normal execution signal is sent to the next process; otherwise, the self-checking confirmation module sends an alarm signal to the alarm module; the identification execution module receives the normal execution signal sent by the self-checking confirmation module, and performs the inventory identification of the bar code information of the measurement product in the identification area and the label end storage data; the abnormality detection module confirms whether the abnormality processing process is needed according to the inventory result; the abnormality processing module is used for controlling the execution of the abnormality processing process; and the data updating module is used for updating and confirming the work order task and the measurement product list in the storage database.

[0006] The task confirmation module is connected with the storage database, the self-check confirmation module is connected with the task confirmation module, and the abnormality processing module is connected with the alarm module and the identification execution module.

[0007] The power supply state self-check is set to perform power supply inspection on the electrical components in the power-on state, so as to determine the stability of data transmission.

[0008] If the power-on is normal, the power supply state is normal, and if the power-on is not normal, the power supply state is abnormal.

[0009] The identification performance self-check is set to perform identification rate self-check on the reference sample, and the reference sample is prepared in advance under the condition that the power supply state is normal.

[0010] The reference sample is a set of reference packaging boxes, and the reference sample is set to a set of reference packaging boxes, and the reference sample is set to a set of reference packaging boxes.

[0011] The reference sample is placed in the identification area of the radio frequency door, and the identification area is respectively self-checked for the reference bar code and the reference label end, and the reference identification information is obtained, and the self-checked identification information is compared with the information of the reference sample, if the information is consistent, the identification performance is normal, and if the information is inconsistent, the identification performance is abnormal.

[0012] The identification execution module includes a visual identification module and a radio frequency identification module.

[0013] The visual identification module is connected with a camera for acquiring bar code information on the packaging box, and the radio frequency identification module is connected with a read-write part for acquiring label end storage data of the measurement product.

[0014] The visual identification module and the radio frequency identification module respectively acquire bar code information and label end storage data, and the visual identification module and the radio frequency identification module respectively acquire bar code information and label end storage data. h And label mark [s', g].

[0015] The bar code mark [s, r] h is used to represent the identified bar code information, h represents the number of layers of the packaging box, the maximum value represents the number of stacked layers of the packaging box, s is the type of measurement product to be stored in the hth layer of the packaging box, and r is the number of measurement products to be contained or stored in the hth layer of the packaging box.

[0016] The label mark [s', g] is used to represent the identified label end storage data, s' represents the measured actual type corresponding to the measured product, and g represents the actual identified quantity of the measured product.

[0017] The application further illustrates that the data comparison of the barcode mark and the label mark is as follows:

[0018] The first step is to determine whether it is the last batch of the same type of measured product in and out of the warehouse.

[0019] The second step is to check the inventory of the measured product according to the conclusion of the first step, and to judge the inventory abnormality.

[0020] The third step is that the abnormality detection module confirms whether to perform the abnormality processing procedure according to the inventory identification result, thereby improving the accuracy of the inventory result.

[0021] The application further illustrates that when the measured product in the identification area is not the last batch of the same type of measured product in and out of the warehouse, on the one hand, the type check in the barcode mark and the label mark is performed, that is, s and s' should be consistent; on the other hand, the quantity check is performed, that is, r·h should be equal to g; if there is a type or quantity inconsistency, it means that the inventory is abnormal.

[0022] The application further illustrates that when the measured product in the identification area is the last batch of the same type of measured product in and out of the warehouse, on the one hand, the type check in the barcode mark and the label mark is performed, that is, s and s' should be consistent; on the other hand, the quantity check is performed, that is, according to the record of the total remaining number G of the same type of measured product in the work order task, the total remaining number G and g are checked, that is, G should be equal to g; if there is a type or quantity inconsistency of the last batch of the same type of measured product in and out of the warehouse, it means that the inventory is abnormal.

[0023] The application further illustrates that the content of the third step is as follows:

[0024] 1) When there is no inventory abnormality, the abnormality detection module directly transmits a normal execution signal to the data updating module to update and confirm the work order task and the measured product list in the storage database;

[0025] 2) When there is an inventory abnormality, the abnormality detection module directly transmits an alarm signal to the abnormality processing module to perform the abnormality processing procedure.

[0026] An intelligent identification method based on RFID technology, the method is as follows:

[0027] S1: Record and store the inventory list of the measured product, and clearly indicate the asset storage location;

[0028] S2: Pre-determine the work order task of in and out of the warehouse and the user authentication before performing the in and out of the warehouse procedure;

[0029] S3: After the completion of the work order task determination and user authentication, the execution state self-check of the radio frequency door is performed to determine whether it can work normally;

[0030] S4: When the results of the execution state self-check are all normal, a normal execution signal is sent to the next process, and the system only executes the subsequent in-out warehouse process of the measured product to ensure the relative accuracy of the subsequent identification result; otherwise, when the results of the execution state self-check are abnormal, an alarm signal is sent;

[0031] S5: After receiving the normal execution signal, the identity information data of the measured product moving to the identification area is identified; the identity information includes barcode information and label end storage data;

[0032] S6: According to the identification result, it is determined whether to execute the abnormal processing process, so as to improve the accuracy of the inventory result;

[0033] S7: The work order task and the measured product list in the storage database are updated and confirmed in time.

[0034] Compared with the prior art, the beneficial effects achieved by the present application are: according to the identification system, the combined identification method is used to perform multiple verification on the in-out warehouse measured product, improve the detection comprehensiveness and accuracy of the in-out warehouse measured product, and in the case of identification abnormality, real-time alarm and re-identification are performed to assist users to manage the in-out warehouse product more intelligently and finely, in addition, the measured product list or asset storage can be updated in time, the updating efficiency is improved, and the effective in-out warehouse record closed loop is completed. BRIEF DESCRIPTION OF DRAWINGS

[0035] The accompanying drawings are included to provide a further understanding of the present application, and constitute a part of the specification, which together with the embodiments of the present application, serve to explain the present application, and do not constitute a limitation on the present application. In the drawings:

[0036] Figure 1 is a flowchart of the system of the present application. DETAILED DESCRIPTION

[0037] The technical solutions of the present application will be further described in detail below in combination with preferred embodiments and their drawings. Obviously, the described embodiments are only part of the embodiments of the present application, not all. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0038] Please refer to Figure 1The application provides a technical scheme: an intelligent identification system based on RFID technology, applied to a radio frequency door, to realize the warehouse in-out counting process of metering products, RFID is short for Radio Frequency Identification, which is a wireless communication technology to realize automatic identification and data acquisition of objects through radio waves;

[0039] The metering products are all provided with a label end, and the radio frequency door is provided with a read-write part for the induction of the label end, the read-write part includes an RFID reader and a radio frequency antenna, and the above is designed in a passive mode and relies on the power supply of the read-write part; when the metering products with the label end are in and out of the warehouse, the read-write part effectively receives and processes the storage data of the label end of the metering products through the induction of the corresponding label end, to identify the metering products;

[0040] The metering products in batches are packaged in packaging boxes for conveying, the packaging boxes are compatible with standard turnover boxes and cartons, and a barcode is specially attached to the outer surface of the packaging box, the barcode identifies the information of the packaging box, and the radio frequency door is specially provided with a camera for the identification of the barcode, and the visual detection technology of the camera reads the information of the packaging box according to the barcode;

[0041] The packaging boxes for packaging the products in batches are stacked on an intelligent trolley, for example, an AGV trolley, which can be remotely controlled or pre-input a navigation route, and does not need to be manually pushed and moved to a required position.

[0042] Further, the intelligent identification system based on the RFID technology includes a storage database, a task confirmation module, a self-check confirmation module, an identification execution module, an abnormality detection module, an abnormality processing module, a data updating module and an alarm module, and the system realizes the intelligent in-out of the metering products and the counting identification of the products in batches through the execution of the functions of the modules.

[0043] The storage database is used for recording and storing the list of the metering products in the warehouse and clearly storing the positions of the assets, and the list content includes the identification data of the products, the identification data includes an asset number, a category type, product parameters and the like, which can be set according to needs, the content of the identification data has unique designation and can directly correspond to the metering products, to realize fine management of the warehouse and avoid the loss of the metering products as much as possible.

[0044] The task confirmation module is signal connected with the storage database and is used for pre-determining the work order task of the in-out of the warehouse and the user authentication before the execution of the in-out process, specifically, before the execution of the in-out process of the metering products, the radio frequency door end first performs the user authentication for the execution of the above in-out process, after the user authentication, the work order task of the radio frequency door end is determined, and after the determination is correct, the subsequent in-out process of the metering products is executed.

[0045] The self-checking confirmation module is in signal connection with the task confirmation module, and after the task confirmation module completes the task determination of the work order and the user authentication, performs the self-checking of the execution state of the radio frequency door to determine whether it can work normally.

[0046] The self-checking of the execution state at least includes the following contents:

[0047] ①The self-checking of the power supply state, in the power-on state, the power supply of the electrical components is checked in turn, and then the stability of data transmission is determined; if the power-on is normal, it indicates that the power supply state is normal; if there is abnormal power-on, it indicates that the power supply state is abnormal.

[0048] The electrical components include but are not limited to the control machine, the read-write part, the camera, and the touch operation screen, and the control machine, the read-write part, the camera, and the touch operation screen are all arranged on the radio frequency door; the control machine is used to control the execution of the related instructions of the product in and out of the warehouse; the read-write part is used to measure the identity recognition of the product; the camera is used to read the bar code of the packaging box to obtain the information of the packaging box; and the touch operation screen is used for user authentication and task order determination.

[0049] ②The self-checking of the identification performance, the identification rate of the reference sample is checked, under the condition that the power supply state is normal, the reference sample is prepared in advance, the reference sample is set as a group of reference packaging boxes, and the reference packaging boxes are set with reference metering products with pre-determined identification information, the surface of the reference packaging box is provided with a reference bar code, and the reference metering product is provided with a corresponding reference label end in advance.

[0050] Specifically, the reference sample is placed in the identification area of the radio frequency door, and the identification area is used for the self-checking of the reference bar code and the reference label end by the camera and the read-write part respectively, and the reference identification information is obtained, and the self-checked identification information is compared with the information of the reference metering product, if the information is consistent, it indicates that the identification performance is normal, and if the information is inconsistent, it indicates that the identification performance is abnormal.

[0051] In summary, when the results of the self-checking of the execution state are all normal, a normal execution signal is sent to the next process, and the system only executes the subsequent in and out of the warehouse process of the metering product to ensure the relative accuracy of the subsequent identification result; otherwise, when the results of the self-checking of the execution state are abnormal, the self-checking confirmation module sends an alarm signal to the alarm module.

[0052] For example, the alarm signal sent by each module to the alarm module is usually marked as "NO-i", i is an integer in 1~n, n is the total number of alarms set in the alarm module, i is the mark serial number of the alarm number, and can correspond to the alarm process, that is, the specific i value represents the specific alarm process step, which facilitates the user to quickly find the alarm cause.

[0053] If each module shows a normal result, i.e. the module to be executed next receives a normal execution signal of the module executed last, the normal execution signal is usually marked as "YES-j", j is an integer from 1 to m, m is the total number of times of sending the normal execution signal, j is the mark number of the normal execution times, and it can correspond to its normal execution process, facilitating data retrieval in the process.

[0054] Therefore, when the self-checking confirmation module detects that the execution state of the radio frequency door is abnormal, it is judged that the radio frequency door cannot work normally, an alarm signal "NO-1" is sent to the alarm module, and the warehouse in / out process is paused; when the self-checking confirmation module detects that the execution state of the radio frequency door is normal, it means that the radio frequency door can work normally, a normal execution signal "YES-1" is sent to the identification execution module, and the warehouse in / out process continues.

[0055] The identification execution module receives the normal execution signal sent by the self-checking confirmation module, and performs data inventory identification of the identity information of the metering product moved to the identification area. The identification execution module includes a visual identification module and a radio frequency identification module.

[0056] The visual identification module is signal connected with a camera for acquiring the barcode information on the packaging box.

[0057] The radio frequency identification module is signal connected with a read-write unit for acquiring the label end storage data of the metering product.

[0058] It should be noted that when the metering product is packed, usually the same type and quantity of metering products are put into each packaging box, so the barcode information of the packaging box contains the type and total quantity of the metering products in the box. When a new product is packed or an old product is placed in the packaging box, the corresponding type of metering product is placed according to the type in the barcode information of the packaging box, and the last packaging box is allowed to have an insufficient amount.

[0059] When the same type of metering product packaging box is stacked, the same type of stacking is required to be close to each other. After the stacking of the same type of packaging box is completed, if there are more than one type of metering product in the work order task, wait until the above-mentioned stacking and warehouse in / out of the same type of packaging box are completed, and then stack and warehouse in / out another type of packaging box, and so on.

[0060] Therefore, when the inventory process of the identification execution module is performed, first, the intelligent trolley loads the packaging box and moves to the identification area; then, the visual identification module and the radio frequency identification module acquire the barcode information and the label end storage data respectively; wherein the visual identification module and the radio frequency identification module acquire the barcode information and the label end storage data respectively, and are marked as barcode mark [s, r] h and label mark [s', g].

[0061] Barcode markings [s, r] h Used to represent the identified barcode information, h represents the number of packaging box layers, the maximum value represents the number of stacked packaging box layers, which can be set to count from bottom to top, s represents the type of metered product that should be stored in the h-th layer of packaging box, and r represents the quantity of metered products that should be contained or stored in the h-th layer of packaging box;

[0062] The label markers [s', g] are used to represent the data stored on the identified label end, where s' represents the actual type of the measured product and g represents the actual number of the measured products identified.

[0063] Next, the data from the barcode markings and label markings are compared sequentially:

[0064] The first step is to determine whether this is the last batch of the same type of measured products entering or leaving the warehouse;

[0065] The second step is to conduct an inventory check of the measured products based on the conclusions of the first step, and to make a judgment on any inventory anomalies.

[0066] When the metered products in the identification area are not the last batch of the same type of metered products entering or leaving the warehouse, on the one hand, the type in the barcode mark and label mark should be checked, that is, s and s' should be consistent; on the other hand, the quantity should be checked, that is, r·h should be equal to g; if there is a discrepancy in type or quantity, it indicates that there is an inventory abnormality.

[0067] When the metered products in the identification area are the last batch of the same type of metered products entering or leaving the warehouse, on the one hand, the type in the barcode mark and label mark is checked, that is, s and s' should be consistent; on the other hand, the quantity is checked. According to the record of the total remaining number G of the same type of metered products in the work order, the total remaining number G is checked with g, that is, G should be equal to g. If there is a discrepancy in the type or quantity of the last batch of the same type of metered products entering or leaving the warehouse, it indicates that there is an inventory abnormality.

[0068] The third step involves the anomaly detection module determining whether to execute an anomaly handling procedure based on the inventory identification results, thereby improving the accuracy of the inventory results.

[0069] The exception handling module is connected to the alarm module and the identification execution module by signal to control the execution of the exception handling procedure.

[0070] Furthermore, regarding the third step:

[0071] 1) When there are no inventory anomalies, the anomaly detection module directly sends the normal execution signal "YES-2" to the data update module to update and confirm the work order task and the list of metered products in the stored database.

[0072] 2) When an inventory discrepancy is detected, the anomaly detection module directly sends an alarm signal "NO-2" to the anomaly handling module to execute the anomaly handling procedure.

[0073] 2-1) When there is an abnormality of inconsistent type, the abnormality handling module directly sends the alarm signal "NO-3" to the alarm module to execute the alarm procedure at the radio frequency gate. The user can promptly screen the measurement products with packaging errors to ensure the orderly packaging of products entering and leaving the warehouse.

[0074] 2-2) When the anomaly is consistent in type but abnormal in quantity, the anomaly handling module will send a secondary identification instruction to the identification execution module. The identification execution module will then identify the barcode information and the data stored on the label of the metered products in the identification area again. In addition, the identification execution module will increase the radio frequency power of the read / write unit to improve the feedback accuracy of the label of this batch. Then, the acquired data will be used to perform the anomaly judgment in the first and second steps above. If the anomaly still occurs, the anomaly handling module will directly send the alarm signal "NO-3" to the alarm module. Otherwise, the work order task and the metered product list in the storage database will be updated and confirmed.

[0075] By acquiring barcode information and tag-stored data through a visual recognition module and an RFID module respectively, this combined recognition method performs multiple verifications on metered products entering and leaving the warehouse, improving the comprehensiveness and accuracy of metered product entry and exit detection. In the event of anomalies, it provides real-time alarms and performs additional frequency recognition, assisting users in more intelligent and refined management of products entering and leaving the warehouse. In addition, it can also update the metered product list or asset storage location in a timely manner, improving update efficiency and completing an effective closed loop of entry and exit records.

[0076] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features, and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An intelligent identification system based on RFID technology, characterized in that: It includes a storage database, a task confirmation module, a self-check confirmation module, an identification and execution module, an anomaly detection module, an anomaly handling module, a data update module, and an alarm module; The storage database is used to record and store a list of measured products in the library; The task confirmation module is used to predetermine the work order tasks for inbound and outbound operations and to authenticate users before executing the inbound and outbound processes. The self-test confirmation module is used to perform a self-test of the execution status of the radio frequency gate to determine whether it can work normally. The execution status self-test includes a power supply status self-test and a recognition performance self-test. When the results of the execution status self-test are all normal, a normal execution signal is sent to the next process. Otherwise, the self-test confirmation module sends an alarm signal to the alarm module. The identification execution module receives the normal execution signal sent by the self-test confirmation module and performs inventory identification of the barcode information and the data stored on the label of the metered products in the identification area; The anomaly detection module confirms whether there is an anomaly handling procedure based on the inventory results; The exception handling module is used to control the execution of exception handling procedures; The data update module is used to update and confirm work order tasks and the list of metered products stored in the database.

2. The intelligent identification system based on RFID technology according to claim 1, characterized in that: The task confirmation module is connected to the storage database, the self-check confirmation module is connected to the task confirmation module, and the exception handling module is connected to the alarm module and the identification execution module.

3. The intelligent identification system based on RFID technology according to claim 1, characterized in that: The power supply status self-test is set to check the power supply of electrical components sequentially when the power is on, thereby determining the stability of its data transmission. If all power connections are normal, the power supply status is normal; if there are any power connection problems, the power supply status is abnormal.

4. The intelligent identification system based on RFID technology according to claim 3, characterized in that: The recognition performance self-test is set to perform a self-test of the recognition rate of the reference sample. Under normal power supply conditions, the reference sample is prepared in advance. The reference sample is set as a set of reference packaging boxes, and a reference measurement product with predetermined identification information is set inside the reference packaging box. A reference barcode is affixed to the surface of the reference packaging box, and the reference measurement product is pre-installed with a corresponding reference label.

5. The intelligent identification system based on RFID technology according to claim 4, characterized in that: The reference sample is placed in the identification area of ​​the radio frequency gate. The identification area performs self-tests on the reference barcode and reference label respectively to obtain reference identification information. The self-tested identification information is compared with the information of the reference metrology product. If the information is consistent, it indicates that the identification performance is normal. If the information is inconsistent, it indicates that the identification performance is abnormal.

6. The intelligent identification system based on RFID technology according to claim 1, characterized in that: The alarm signal is marked as "NO-i", where i is an integer from 1 to n, n is the total number of alarms set in the alarm module, and i is the marker number of the alarm count.

7. The intelligent identification system based on RFID technology according to claim 1, characterized in that: The normal execution signal is marked as "YES-j", where j is an integer from 1 to m, m is the total number of times the normal execution signal is sent, and j is the mark number of the number of normal executions.

8. The intelligent identification system based on RFID technology according to claim 1, characterized in that: The recognition execution module includes a visual recognition module and a radio frequency identification module; The visual recognition module is connected to a camera to acquire barcode information on the packaging box; the radio frequency identification module is connected to a reader / writer to acquire data stored on the label of the metered product.

9. The intelligent identification system based on RFID technology according to claim 8, characterized in that: The visual recognition module and the radio frequency identification (RFID) module acquire barcode information and label-stored data, respectively; the visual recognition module and the RFID module record the acquired barcode information and label-stored data as barcode markers [s, r], respectively. h and the tag markers [s', g]; The barcode markings [s, r] h Used to represent the identified barcode information, h represents the number of packaging box layers, the maximum value represents the number of stacked packaging boxes, s represents the type of metered product that should be stored in the h-th layer of packaging box, and r represents the quantity of metered products that should be contained or stored in the h-th layer of packaging box. The label markers [s', g] are used to represent the data stored on the identified label end, where s' represents the actual type of the measured product and g represents the actual number of the measured products identified.

10. The intelligent identification system based on RFID technology according to claim 9, characterized in that: The data comparison between the barcode markings and the label markings is as follows: The first step is to determine whether this is the last batch of the same type of measured products entering or leaving the warehouse; The second step is to conduct an inventory check of the measured products based on the conclusions of the first step, and to make a judgment on any inventory anomalies. The third step involves the anomaly detection module confirming whether an abnormal process has been initiated based on the inventory identification results, thereby improving the accuracy of the inventory results.

11. The intelligent identification system based on RFID technology according to claim 10, characterized in that: When the metered products in the identification area are not the last batch of the same type of metered products entering or leaving the warehouse, on the one hand, the type in the barcode mark and label mark is checked, that is, s and s' should be consistent; on the other hand, the quantity is checked, that is, r·h should be equal to g; if there is a discrepancy in type or quantity, it indicates that an inventory abnormality has occurred.

12. The intelligent identification system based on RFID technology according to claim 11, characterized in that: When the measurement products in the identification area are the last batch of the same type of measurement products entering or leaving the warehouse, on the one hand, the type in the barcode mark and label mark is checked, that is, s and s' should be consistent; on the other hand, the quantity is checked. According to the record of the total remaining number G of the measurement products of this type in the work order task, the total remaining number G is checked with g, that is, G should be equal to g. If there is a discrepancy in the type or quantity of the last batch of the same type of measurement products entering or leaving the warehouse, it indicates that an inventory abnormality has occurred.

13. The intelligent identification system based on RFID technology according to claim 12, characterized in that: The third step is as follows: 1) When there are no inventory anomalies, the anomaly detection module directly sends a normal execution signal to the data update module to update and confirm the work order task and the list of metered products in the storage database. 2) When an inventory abnormality is found, the abnormality detection module directly sends an alarm signal to the abnormality handling module to execute the abnormality handling procedure.

14. The intelligent identification system based on RFID technology according to claim 13, characterized in that: 2-1) When there is an abnormality of inconsistent type, the abnormality handling module directly sends an alarm signal to the alarm module and executes the alarm procedure at the radio frequency gate. The user can promptly screen the measurement products with packaging errors to ensure the orderly packaging of products entering and leaving the warehouse. 2-2) When the anomaly is consistent in type but abnormal in quantity, the anomaly handling module will send a secondary identification instruction to the identification execution module. The identification execution module will then identify the barcode information and label stored data of the metered products in the identification area again.

15. The intelligent identification system based on RFID technology according to claim 14, characterized in that: In step 2-2), the identification execution module increases the radio frequency power of the read / write unit, and then performs the above first and second steps of anomaly judgment on the acquired data again. If the anomaly still occurs, the anomaly handling module directly sends an alarm signal to the alarm module; otherwise, the work order task and the metering product list in the storage database will be updated and confirmed.

16. A smart identification method based on RFID technology, implemented according to any one of claims 1-15, characterized in that: The method is as follows: S1: Record and store a list of measured products in the warehouse, and specify the location of the assets; S2: Predetermine the work order tasks for inbound and outbound operations and user authentication before executing inbound and outbound processes; S3: After completing the work order task confirmation and user authentication, perform a self-check of the execution status of the RF gate to determine whether it can work normally. S4: When the self-check results of the execution status are all normal, a normal execution signal is sent to the next process. Only then will the system execute the subsequent inbound and outbound processes of the measured products to ensure the relative accuracy of the subsequent identification results. Otherwise, if the result of the execution status self-check is abnormal, an alarm signal will be sent; S5: Upon receiving a normal execution signal, perform data inventory and identification of the identity information of the metering products that have moved to the identification area; the identity information includes barcode information and data stored on the label. S6: Based on the inventory identification results, determine whether to execute the abnormality handling procedure, thereby improving the accuracy of the inventory results; S7: Timely update and confirm work order tasks and the list of metered products in the stored database.

Images