A data processing system for making radio frequency tags for liquid samples
By introducing data sensors, correction boundary modules and dynamic correction modules into the RF tag data processing system, dynamic correction boundary and correction of sample data is solved, the data reading accuracy of RF tags is reduced in the presence of liquid samples and metal ions. Problem, achieving higher data read accuracy and lower implementation cost.
Patent Information
- Application Number
- CN202410890266.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-07-04
- Publication Date
- 2025-02-11
- Estimated Expiration
- 2044-07-04
AI Technical Summary
Existing RF tags are susceptible to electromagnetic interference in the presence of liquid samples and metal ions, resulting in reduced data reading accuracy and even unreadable.
A data processing system is designed, including radio frequency tags, radio frequency tag readers and data management modules. The data management module collects metal and liquid sensing data through the data sensor, and the correction boundary module builds a dynamic correction boundary. The dynamic correction module corrects the sample data to reduce the impact of interference.
It effectively reduces the impact of metal reflection interference and water absorption effects on RF tag data reading, avoids data reading errors or inability to read, and reduces the difficulty and cost of implementation.
Smart Images

Figure CN118862909B_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the field of radio frequency tags, and in particular to a data processing system for making radio frequency tags for liquid samples. Background Art
[0002] Radio frequency identification technology is a communication technology that can identify specific targets and read and write related data through radio signals without establishing mechanical or optical contact between the identification system and the specific target.
[0003] However, RFID tags are easily affected by metal reflection interference and water absorption, which may cause data loss in RFID tag reading, thereby reducing the reading accuracy of RFID tags. As for blood bags, urine bags and test tubes currently used in the medical system to store liquid biological tissues or samples, if RFID tags are used for management, the presence of metal ions and biochemical substances in the stored liquid biological tissues or samples often causes electromagnetic wave energy absorption and interference, further affecting the reading accuracy of RFID tags, resulting in data reading errors of tags, and even the phenomenon of being unable to read.
[0004] To resist electromagnetic interference from liquids and metal ions, the patent publication number (CN220543366U) "GJB 7377.1 Radio Frequency Identification Air Interface Protocol Standard for Liquid Biological Samples Radio Frequency" discloses an antenna layout design that utilizes inner and outer loops, and combines chip adaptation technology to achieve superior antenna tuning performance to reduce the overall tag geometric area, which can effectively improve the lack of UHF radio frequency tags in resisting liquid interference.
[0005] However, the technical means adopted by the prior art need to change the antenna layout and require chip adaptation, that is, the prior art has high requirements on the antenna layout and chip adaptation, which will increase the cost and make it difficult to implement.
[0006] Therefore, how to design UHF RFID tags to achieve the best reading effect and resist electromagnetic interference from liquids and metal ions to achieve better signal transmission quality has become an urgent problem to be solved. Summary of the invention
[0007] In view of the shortcomings of the prior art, the present invention provides a data processing system for liquid sample radio frequency tag production, which includes: a radio frequency tag, a radio frequency tag reader and writer, and a data management module; the data management module includes: a data sensor, a correction boundary module, a dynamic correction module and a database; one end of the radio frequency tag reader and writer is connected to the data management module for communication, and the other end is connected to the radio frequency tag for communication;
[0008] The RFID reader / writer sends a RFID signal to the RFID tag, and sends the sample data information stored in the corresponding RFID tag to the RFID reader / writer according to the RFID signal; the RFID reader / writer receives the sample data information and sends the sample data information to the data management module;
[0009] The data sensor of the data management module collects metal sensing data and liquid sensing data of the liquid sample, and sends the metal sensing data and liquid sensing data to the correction boundary module;
[0010] The correction boundary module constructs a metal action curve and a liquid action curve based on the metal sensor data and the liquid sensor data respectively, and maps the metal action curve and the liquid action curve to the same coordinate space to obtain a plurality of action intersection points of the metal action curve and the liquid action curve;
[0011] The correction boundary module constructs a dynamic correction boundary of the liquid sample based on the action intersection;
[0012] The dynamic correction module analyzes the sample data information to obtain the dynamic correction point of the sample data information, and dynamically corrects the dynamic correction point and the dynamic correction boundary to obtain standard sample information;
[0013] The dynamic correction module transmits the standard sample information to the RFID reader for display.
[0014] According to a preferred embodiment, the radio frequency tag reader / writer includes: a first sending unit for sending radio frequency signals; a first receiving unit for receiving sample data information sent by the radio frequency tag and sending it to a data management module; and an information output unit for receiving and outputting standard sample information returned by the data management module.
[0015] According to a preferred embodiment, the radio frequency tag includes: a second receiving unit for receiving a radio frequency signal sent by a radio frequency tag reader; a second sending unit for sending stored sample data information to the radio frequency tag reader; and a data storage device for storing sample data information corresponding to the radio frequency tag.
[0016] According to a preferred embodiment, when the RFID reader receives sample data information sent by only one RFID tag, the RFID reader receives the sample data information sent by the RFID tag; when the RFID reader receives sample data information sent by multiple RFID tags, the RFID reader filters out the target RFID tag according to the distance between the RFID tag and the RFID reader.
[0017] According to a preferred embodiment, the radio frequency tag is a passive radio frequency tag with a chip encapsulated by a high temperature resistant encapsulation material, and the high temperature resistant encapsulation material is a composite layer of a tightly woven ceramic fiber mesh and a mica sheet.
[0018] According to a preferred embodiment, the radio frequency tag adopts the GJB 7377.1 radio frequency identification air interface protocol standard frequency band, and its frequency band ranges from 840 MHz to 960 MHz.
[0019] According to a preferred embodiment, the sensor includes: a metal sensor and a liquid sensor.
[0020] According to a preferred embodiment, the boundary correction module constructs a metal action curve and a liquid action curve based on the metal sensing data and the liquid sensing data respectively, including:
[0021] The correction boundary module obtains the metal properties of the liquid sample based on the metal sensing data, and obtains a plurality of metal action direction features and corresponding metal action degree features based on the metal properties, and then performs feature fusion on each metal action direction feature and the corresponding metal action degree feature to obtain a plurality of metal fusion features;
[0022] The correction boundary module maps several metal fusion features to a high-dimensional space to obtain several metal action points, and connects all the metal action points to obtain a metal action curve;
[0023] The correction boundary module obtains liquid properties of the liquid sample based on the liquid sensor data, and obtains a plurality of liquid action direction features and corresponding liquid action degree features based on the liquid properties, and then performs feature fusion on each liquid action direction feature and the corresponding liquid action degree feature to obtain a plurality of liquid fusion features;
[0024] The correction boundary module maps several liquid fusion features to space to obtain several liquid action points, and connects all the liquid action points to obtain the liquid action curve.
[0025] According to a preferred embodiment, the correction boundary module constructs a dynamic correction boundary of the liquid sample based on the action intersection, including:
[0026] The correction boundary module obtains the test sample data from the database, randomly selects an action intersection as the target action intersection, and extracts the action direction of the target action intersection, and then continuously acts on the test sample data based on the action direction until the test sample data has data missing or data errors in the action direction, and uses the feature points of the test sample data when the test sample data has data missing or data errors in the action direction as the dynamic boundary points corresponding to the action intersection;
[0027] Repeat the above steps to obtain the correction boundary points corresponding to all the action intersection points, and connect all the correction boundary points to obtain the dynamic correction boundary of the liquid sample.
[0028] According to a preferred embodiment, the dynamic correction module analyzes the sample data information to obtain the dynamic correction points of the sample data information, including:
[0029] The dynamic correction module extracts several sample feature points of the sample data information and maps all sample feature points and the dynamic correction boundary into the same space;
[0030] The dynamic correction module determines whether each sample feature point is within the dynamic correction boundary, and takes the sample feature points outside the dynamic correction boundary as dynamic correction points;
[0031] The dynamic correction module calculates the correction distance between each sample feature point within the dynamic correction boundary and the dynamic correction boundary, and obtains the stability value of each sample feature point within the dynamic correction boundary based on the correction distance, and then uses the sample feature point whose stability value is less than the stability threshold as the dynamic correction point; the stability value is the stability degree of the sample data information when affected by metal and liquid.
[0032] According to a preferred embodiment, the metal action curve is an interference curve of the metal properties of the liquid sample on the sample data information sent by the radio frequency tag; the liquid action curve is an interference curve of the liquid properties of the liquid sample on the sample data information sent by the radio frequency tag.
[0033] The present invention has the following beneficial effects: after receiving the sample data information sent by the radio frequency tag, the present application constructs a dynamic correction boundary of the liquid sample, obtains the dynamic correction point of the sample data information, and then dynamically corrects the dynamic correction point and the dynamic correction boundary to obtain standard sample information, that is, the present application corrects the received sample data information to reduce the influence of metal reflection interference and water absorption effect on the reading of radio frequency tag data, thereby avoiding the phenomenon of data reading errors or data being unable to be read. In addition, the present application corrects the sample data information without changing the antenna layout and improving the chip adaptability, thereby reducing the difficulty and cost of implementation. BRIEF DESCRIPTION OF THE DRAWINGS
[0034] Figure 1 A structural block diagram of a data processing system for making a liquid sample radio frequency tag provided by an exemplary embodiment;
[0035] Figure 2 A structural block diagram of a radio frequency tag reader / writer provided for an exemplary embodiment;
[0036] Figure 3A structural block diagram of a radio frequency tag provided as an exemplary embodiment. DETAILED DESCRIPTION
[0037] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Instead, they are merely examples of devices and methods consistent with some aspects of the present invention as detailed in the appended claims.
[0038] The terms used in the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The singular forms "a", "the" and "the" used in the present invention and the appended claims are also intended to include plural forms unless the context clearly indicates other meanings. It should also be understood that the term "and / or" used herein refers to and includes any or all possible combinations of one or more associated listed items.
[0039] It should be understood that although the terms first, second, third, etc. may be used in the present invention to describe various information, these information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of the present invention, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information. Depending on the context, the word "if" as used herein may be interpreted as "at the time of" or "when" or "in response to determining".
[0040] See also Figure 1 In one embodiment, a data processing system for making a liquid sample radio frequency tag may include: a radio frequency tag, a radio frequency tag reader / writer, and a data management module; the data management module includes: a data sensor, a correction boundary module, a dynamic correction module, and a database; one end of the radio frequency tag reader / writer is connected to the data management module for communication, and the other end is connected to the radio frequency tag for communication;
[0041] The RFID reader / writer sends a RFID signal to the RFID tag, and sends the sample data information stored in the corresponding RFID tag to the RFID reader / writer according to the RFID signal; the RFID reader / writer receives the sample data information and sends the sample data information to the data management module;
[0042] Preferably, when the RFID reader receives sample data information sent by only one RFID tag, the RFID reader receives the sample data information sent by the RFID tag; when the RFID reader receives sample data information sent by multiple RFID tags, the RFID reader selects the target RFID tag according to the distance between the RFID tag and the RFID reader.
[0043] Optionally, the sample data information is detailed information of the corresponding sample.
[0044] In a preferred embodiment, the data sensor, the correction boundary module, the dynamic correction module and the database are communicatively connected to each other.
[0045] The data sensor of the data management module collects metal sensing data and liquid sensing data of the liquid sample, and sends the metal sensing data and liquid sensing data to the correction boundary module;
[0046] Optionally, the sensor includes: a metal sensor and a liquid sensor; the metal sensor is used to collect the type and content of metal contained in the liquid sample and the vicinity of the liquid sample; the liquid sensor is used to collect the liquid type and liquid capacity of the liquid sample.
[0047] Optionally, the metal sensing data includes the type and content of metal contained in the liquid sample and the vicinity of the liquid sample; the liquid sensing data includes the type and volume of liquid contained in the liquid sample and the vicinity of the liquid sample.
[0048] The correction boundary module constructs a metal action curve and a liquid action curve based on the metal sensor data and the liquid sensor data respectively, and maps the metal action curve and the liquid action curve to the same coordinate space to obtain a plurality of action intersection points of the metal action curve and the liquid action curve;
[0049] Optionally, the action intersection point is the intersection point of the metal action curve and the liquid action curve in the same coordinate space.
[0050] Preferably, the metal action curve is an interference curve formed by the liquid sample and the nearby metal on the sample data information sent by the radio frequency tag; the liquid action curve is an interference curve formed by the liquid sample and the nearby liquid on the sample data information sent by the radio frequency tag.
[0051] For example, when a liquid sample contains certain metal ions or a container storing the liquid sample contains metal ions, it will interfere with the sample information data, resulting in missing and incorrect sample data. Therefore, it is necessary to obtain the interference of different metals on the sample data information.
[0052] In addition, the liquid sample itself will also interfere with the sample data information, so it is necessary to obtain the interference of different liquid samples on the sample data information.
[0053] Different metal contents and metal properties have different interference degrees and directions on sample data information. Therefore, a metal interference curve on sample data information is constructed based on metal properties and metal content.
[0054] Different liquid capacities and liquid properties have different interference degrees and directions on the sample data information. Therefore, an interference curve of the liquid on the sample data information is constructed according to the liquid capacity and liquid properties.
[0055] According to a preferred embodiment, the correction boundary module constructs a metal action curve and a liquid action curve based on the metal sensor data and the liquid sensor data respectively, including:
[0056] The correction boundary module obtains the metal properties of the liquid sample based on the metal sensing data, and obtains a plurality of metal action direction features and corresponding metal action degree features based on the metal properties, and then performs feature fusion on each metal action direction feature and the corresponding metal action degree feature to obtain a plurality of metal fusion features;
[0057] The correction boundary module maps several metal fusion features to a high-dimensional space to obtain several metal action points, and connects all the metal action points to obtain a metal action curve;
[0058] The correction boundary module obtains liquid properties of the liquid sample based on the liquid sensor data, and obtains a plurality of liquid action direction features and corresponding liquid action degree features based on the liquid properties, and then performs feature fusion on each liquid action direction feature and the corresponding liquid action degree feature to obtain a plurality of liquid fusion features;
[0059] The correction boundary module maps several liquid fusion features to space to obtain several liquid action points, and connects all the liquid action points to obtain the liquid action curve.
[0060] Optionally, the metal includes: gold, silver, copper, iron, etc.
[0061] The correction boundary module constructs a dynamic correction boundary of the liquid sample based on the action intersection;
[0062] Preferably, the correction boundary module constructs a dynamic correction boundary of the liquid sample based on the action intersection, including:
[0063] The correction boundary module obtains the test sample data from the database, randomly selects an action intersection as the target action intersection, and extracts the action direction of the target action intersection, and then continuously acts on the test sample data based on the action direction until the test sample data has data missing or data errors in the action direction, and uses the feature points of the test sample data when the test sample data has data missing or data errors in the action direction as the dynamic boundary points corresponding to the action intersection;
[0064] Repeat the above steps to obtain the correction boundary points corresponding to all the action intersection points, and connect all the correction boundary points to obtain the dynamic correction boundary of the liquid sample.
[0065] The dynamic correction module analyzes the sample data information to obtain the dynamic correction point of the sample data information, and dynamically corrects the dynamic correction point and the dynamic correction boundary to obtain standard sample information;
[0066] Optionally, the dynamic correction module analyzes the sample data information to obtain dynamic correction points of the sample data information, including:
[0067] The dynamic correction module extracts several sample feature points of the sample data information and maps all sample feature points and the dynamic correction boundary into the same space;
[0068] The dynamic correction module determines whether each sample feature point is within the dynamic correction boundary, and takes the sample feature points outside the dynamic correction boundary as dynamic correction points;
[0069] The dynamic correction module calculates the correction distance between each sample feature point within the dynamic correction boundary and the dynamic correction boundary, and obtains the stable value of each sample feature point within the dynamic correction boundary based on the correction distance, and then uses the sample feature point whose stable value is less than the stable threshold as the dynamic correction point.
[0070] Optionally, the stability value is the stability of the sample data information when affected by metal and liquid. A larger stability value indicates that the sample data information is more stable when affected by metal and liquid, and a smaller stability value indicates that the sample data information is more unstable when affected by metal and liquid.
[0071] Preferably, dynamically correcting the dynamic correction point and the dynamic correction boundary to obtain standard sample information includes:
[0072] The dynamic correction points outside the dynamic correction boundary are regarded as out-of-bounds correction points, and the boundary constraint conditions are determined based on the dynamic correction boundary, and then each out-of-bounds correction point is mapped based on the boundary constraint conditions to obtain an in-bounds correction point corresponding to each out-of-bounds correction point;
[0073] Each out-of-bounds correction point has its unique corresponding in-bounds correction point, and each out-of-bounds correction point and its unique corresponding in-bounds correction point form a dynamic correction pair;
[0074] Construct an in-bounds correction line according to the in-bounds correction point and the boundary constraint condition, construct an out-bounds correction line according to the out-bounds correction point and the boundary constraint condition, and then use the intersection of the in-bounds correction line and the out-bounds correction line as the standard feature point corresponding to the dynamic correction point;
[0075] Correcting the dynamic correction points within the dynamic correction boundary according to the boundary constraint conditions to obtain each standard feature point within the dynamic correction boundary;
[0076] All dynamic correction points of the sample data information are replaced with their corresponding standard feature points to obtain replaced sample feature points, and all replaced sample feature points are mapped to obtain standard sample information.
[0077] The dynamic correction module transmits the standard sample information to the RFID reader for display.
[0078] After receiving the sample data information sent by the radio frequency tag, the present application constructs a dynamic correction boundary of the liquid sample, obtains the dynamic correction point of the sample data information, and then dynamically corrects the dynamic correction point and the dynamic correction boundary to obtain standard sample information, that is, the present application corrects the received sample data information to reduce the influence of metal reflection interference and water absorption effect on the reading of radio frequency tag data, thereby avoiding data reading errors or data unreadable phenomena. In addition, the present application corrects the sample data information without changing the antenna layout and improving the chip adaptability, reducing the difficulty and cost of implementation.
[0079] See also Figure 2 In one embodiment, the radio frequency tag reader includes: a first sending unit for sending radio frequency signals; a first receiving unit for receiving sample data information sent by the radio frequency tag and sending it to a data management module; and an information output unit for receiving and outputting standard sample information returned by the data management module.
[0080] Preferably, when the RFID reader receives sample data information sent by only one RFID tag, the RFID reader receives the sample data information sent by the RFID tag; when the RFID reader receives sample data information sent by multiple RFID tags, the RFID reader selects the target RFID tag according to the distance between the RFID tag and the RFID reader.
[0081] See also Figure 3In one embodiment, the radio frequency tag includes: a second receiving unit for receiving a radio frequency signal sent by a radio frequency tag reader; a second sending unit for sending stored sample data information to the radio frequency tag reader; and a data storage device for storing sample data information corresponding to the radio frequency tag.
[0082] Preferably, the radio frequency tag is a passive radio frequency tag with a chip encapsulated by a high temperature resistant encapsulation material, and the high temperature resistant encapsulation material is a composite layer of a tightly woven ceramic fiber mesh and a mica sheet.
[0083] The radio frequency tag adopts the GJB 7377.1 radio frequency identification air interface protocol standard frequency band, and its frequency band ranges from 840 MHz to 960 MHz.
[0084] The computer program instructions for performing the operation of the present invention may be assembler instructions, instruction set architecture (ISA) instructions, machine instructions, machine-dependent instructions, microcode, firmware instructions, state setting data, or source code or object code written in any combination of one or more programming languages, including object-oriented programming languages, such as Smalltalk, C++, etc., and procedural programming languages, such as "C" language or similar programming languages. Computer-readable program instructions may be executed entirely on a user's computer, partially on a user's computer, as an independent software package, partially on a user's computer, partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., using an Internet service provider to connect via the Internet). In some embodiments, an electronic circuit, such as a programmable logic circuit, a field programmable gate array (FPGA), or a programmable logic array (PLA), may be personalized by utilizing the state information of the computer-readable program instructions, and the electronic circuit may execute the computer-readable program instructions, thereby realizing various aspects of the present invention.
[0085] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.
Claims
1. A data processing system for making radio frequency tags for liquid samples, characterized in that: include: RFID tags, RFID tag readers and writers, and data management modules; The data management module includes: a data sensor, a correction boundary module, a dynamic correction module and a database; one end of the radio frequency tag reader is connected to the data management module for communication, and the other end is connected to the radio frequency tag for communication; The RFID reader / writer sends a RFID signal to the RFID tag, and sends the sample data information stored in the corresponding RFID tag to the RFID reader / writer according to the RFID signal; the RFID reader / writer receives the sample data information and sends the sample data information to the data management module; The data sensor collects metal sensing data and liquid sensing data of the liquid sample, and sends the metal sensing data and the liquid sensing data to the correction boundary module; The correction boundary module constructs a metal action curve and a liquid action curve based on the metal sensor data and the liquid sensor data respectively, and maps the metal action curve and the liquid action curve to the same coordinate space to obtain a plurality of action intersection points of the metal action curve and the liquid action curve; The correction boundary module constructs the metal action curve and the liquid action curve based on the metal sensor data and the liquid sensor data respectively, including: The correction boundary module obtains the metal properties of the liquid sample based on the metal sensing data, and obtains a plurality of metal action direction features and corresponding metal action degree features based on the metal properties, and then performs feature fusion on each metal action direction feature and the corresponding metal action degree feature to obtain a plurality of metal fusion features; The correction boundary module maps several metal fusion features to a high-dimensional space to obtain several metal action points, and connects all the metal action points to obtain a metal action curve; The correction boundary module obtains liquid properties of the liquid sample based on the liquid sensor data, and obtains a plurality of liquid action direction features and corresponding liquid action degree features based on the liquid properties, and then performs feature fusion on each liquid action direction feature and the corresponding liquid action degree feature to obtain a plurality of liquid fusion features; The correction boundary module maps several liquid fusion features to space to obtain several liquid action points, and connects all liquid action points to obtain a liquid action curve; The correction boundary module constructs a dynamic correction boundary of the liquid sample based on the action intersection point; The correction boundary module constructs a dynamic correction boundary of the liquid sample based on the action intersection, including: The correction boundary module obtains the test sample data from the database, randomly selects an action intersection as the target action intersection, and extracts the action direction of the target action intersection, and then continuously acts on the test sample data based on the action direction until the test sample data has data missing or data errors in the action direction, and uses the feature points of the test sample data when the test sample data has data missing or data errors in the action direction as the correction boundary points corresponding to the action intersection; Repeat the above steps to obtain the correction boundary points corresponding to all the action intersection points, and connect all the correction boundary points to obtain the dynamic correction boundary of the liquid sample; The dynamic correction module analyzes the sample data information to obtain the dynamic correction point of the sample data information, and dynamically corrects the dynamic correction point and the dynamic correction boundary to obtain standard sample information; The dynamic correction module transmits the standard sample information to the RFID reader for display.
2. The system according to claim 1, characterized in that The RFID tag reader / writer includes: a first sending unit for sending RFID signals; a first receiving unit for receiving sample data information sent by the RFID tag and sending it to a data management module; and an information output unit for receiving and outputting standard sample information returned by the data management module.
3. The system according to claim 1, characterized in that The radio frequency tag comprises: a second receiving unit for receiving a radio frequency signal sent by a radio frequency tag reader; a second sending unit for sending stored sample data information to the radio frequency tag reader; and a data storage device for storing sample data information corresponding to the radio frequency tag.
4. The system according to claim 1, characterized in that When the RFID tag reader receives sample data information sent by only one RFID tag, the RFID tag reader receives the sample data information sent by the RFID tag; when the RFID tag reader receives sample data information sent by multiple RFID tags, the RFID tag reader selects the target RFID tag according to the distance between the RFID tag and the RFID tag reader.
5. The system according to claim 1, characterized in that The radio frequency tag is a passive radio frequency tag with a chip encapsulated by a high temperature resistant encapsulation material, and the high temperature resistant encapsulation material is a composite layer of a tightly woven ceramic fiber mesh and a mica sheet.
6. The system according to claim 1, characterized in that The radio frequency tag adopts the GJB 7377.1 radio frequency identification air interface protocol standard frequency band, and its frequency band ranges from 840 MHz to 960 MHz.
7. The system according to claim 1, characterized in that The sensors include: a metal sensor and a liquid sensor.
8. The system according to claim 7, characterized in that The dynamic correction module analyzes the sample data information to obtain the dynamic correction points of the sample data information including: The dynamic correction module extracts several sample feature points of the sample data information and maps all sample feature points and the dynamic correction boundary into the same space; The dynamic correction module determines whether each sample feature point is within the dynamic correction boundary, and takes the sample feature points outside the dynamic correction boundary as dynamic correction points; The dynamic correction module calculates the correction distance between each sample feature point within the dynamic correction boundary and the dynamic correction boundary, and obtains the stability value of each sample feature point within the dynamic correction boundary based on the correction distance, and then uses the sample feature point whose stability value is less than the stability threshold as the dynamic correction point; the stability value is the stability degree of the sample data information when affected by metal and liquid.
Citation Information
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