CN118036623B - Cabinet door RFID multi-label position optimization method, system, equipment and medium - Google Patents
Cabinet door RFID multi-label position optimization method, system, equipment and medium Download PDFInfo
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Abstract
The embodiment of the disclosure provides a cabinet door RFID multi-label position optimization method, a system, equipment and a medium. The method comprises the following steps: acquiring RFID hardware parameter information and initialization information; the RFID hardware parameter information comprises tag power and reader-writer transmitting power, and the initialization information comprises cabinet door size; establishing a mechanism mathematical model according to the tag power and the reader-writer transmitting power; setting a multi-label position objective function according to the mechanism mathematical model; and setting constraint conditions according to the cabinet door size, and solving the multi-label position objective function by utilizing a numerical optimization algorithm according to the constraint conditions to obtain the optimal position of each label. According to the embodiment of the disclosure, the mathematical modeling on the multi-tag positions is performed, and the optimal tag positions are solved, so that rule guidance is provided for multi-tag position arrangement, the reliability of multi-tag RSSI distance judgment is improved, and the RFID detection precision is greatly improved.
Description
Technical Field
The embodiment of the disclosure belongs to the technical field of RFID, and particularly relates to a cabinet door RFID multi-label position optimization method, system, equipment and medium.
Background
RFID (Radio Frequency Identification, radio frequency identification technology) is a communication technology, chinese is called radio frequency identification for short, and is a non-contact automatic identification technology utilizing radio frequency signals and space coupling or radar reflection.
The current common RSSI distance detection mainly adopts a single tag mode. When multipath effects exist, RSSI signals of multiple paths may overlap or cancel each other, resulting in limited ranging accuracy and robustness.
Disclosure of Invention
The embodiment of the disclosure aims at solving at least one of the technical problems existing in the prior art and provides a cabinet door RFID multi-label position optimization method, a system, equipment and a medium.
One aspect of the present disclosure provides a method for optimizing the position of a cabinet door RFID multi-tag, the method comprising:
Acquiring RFID hardware parameter information and initialization information; the RFID hardware parameter information comprises tag power and reader-writer transmitting power, and the initialization information comprises cabinet door size;
Establishing a mechanism mathematical model according to the tag power and the reader-writer transmitting power;
Setting a multi-label position objective function according to the mechanism mathematical model;
and setting constraint conditions according to the cabinet door size, and solving the multi-label position objective function by utilizing a numerical optimization algorithm according to the constraint conditions to obtain the optimal position of each label.
Further, the mechanism mathematical model is represented by the following formula (1):
PR=c0PT/rn(1)
PR represents tag power, PT represents reader-writer transmitting power, r represents distance between the reader-writer and the tag, n represents propagation factor, the size of the propagation factor depends on the environment, c 0 is gain constant, and the value of the gain constant is related to the medium where the signal is located.
Further, the setting the multi-label position objective function according to the mechanism mathematical model includes:
According to the formula (1), a multi-label position objective function is set as shown in the following formula (2):
max(|AθX-AθY|)(2)
Wherein a θX and a θY are respectively the power matrices of each tag in the door closing and door opening states, each tag power matrix a= [ rsi 1,rssi2,rssi3, … ], each tag power rsi k=1,2,3,…=10lg(c0PT)-10nlg(rk), and the distance r k = between the reader and each tag (X k,yk) is the coordinate difference between the position of each tag and the position of the reader/writer.
Further, the multi-tag location objective function also includes a stationary coefficient λ; the multi-tag location objective function is represented by the following formula (3):
max(|AθX-AθY|)×λ(3)。
further, the multi-tag location objective function also removes errors as an arithmetic average; the multi-tag location objective function is represented by the following formula (4):
mean(max(|AθX-AθY|)×λ)(4)。
optionally, the constraint includes a tag coordinate range and a resolution condition.
Further, the coordinate range of the label is 0< x k < W, and W is the width of the cabinet door; and/or the number of the groups of groups,
The resolution condition is |A θX-AθY | > seuil, and seuil is a resolution threshold.
Another embodiment of the present disclosure provides a cabinet door RFID multi-tag location optimization system, the system comprising:
The acquisition module is used for acquiring the RFID hardware parameter information and the initialization information; the RFID hardware parameter information comprises tag power and reader-writer transmitting power, and the initialization information comprises cabinet door size;
The modeling module is used for establishing a mechanism mathematical model according to the tag power and the reader-writer transmitting power;
The target module is used for setting a multi-label position target function according to the mechanism mathematical model;
And the solving module is used for setting constraint conditions according to the cabinet door size, and solving the multi-label position objective function by utilizing a numerical optimization algorithm according to the constraint conditions to obtain the optimal position of each label.
Yet another aspect of the present disclosure provides an electronic device, comprising:
At least one processor; and
And a memory communicatively coupled to the at least one processor for storing one or more programs that, when executed by the at least one processor, cause the at least one processor to implement the cabinet door RFID multi-tag location optimization method described above.
Yet another aspect of the present disclosure provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, enables the cabinet door RFID multi-tag location optimization method described above.
According to the cabinet door RFID multi-label position optimization method, system, equipment and medium, the RSSI feature matrix provided by the multi-label is utilized, and the optimized positions of the labels are solved through a mathematical model, so that the problems of accuracy and stability of the RFID multi-label distance detection system in a complex environment are solved. The technical effects comprise:
The invention improves the robustness of the system. According to the invention, the RSSI features are provided by utilizing a plurality of labels, so that information complementation of the labels at different positions is realized, uncertainty caused by information deletion possibly caused by multipath reflection effect of single label information is reduced, and therefore, the stability and the robustness of the system are improved;
The invention provides a method for improving the multi-label distance detection precision. In the prior art, the arrangement position of the tag cannot be optimized, and the randomness problem caused by weak signal acquisition and multipath effect cannot be effectively solved. By establishing the mathematical model and setting the optimal placement position of the objective function solving label, the invention can effectively cover different positions of the detection area and realize higher detection precision;
and thirdly, the invention solves the problem of fine granularity discrimination under the limitation of weak calculation conditions. According to the invention, by customizing a placement method of a plurality of labels, differentiation of the RSSI change rules of the labels in different distance intervals can be realized by simple calculation, and high-precision distance change identification is realized while the complexity of a system is ensured;
The method is suitable for complex scenes, can be well adapted to complex scenes with various changes, and expands the scene range of the application of the RSSI distance detection of the RFID.
Drawings
Fig. 1 is a schematic flow chart of a method for optimizing the RFID multi-tag position of a cabinet door according to an embodiment of the disclosure;
FIG. 2 is a schematic diagram of a cabinet door RFID multi-tag location optimization system according to another embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of an electronic device according to another embodiment of the disclosure.
Detailed Description
The basic principle of RFID is to use the transmission characteristics of radio frequency signals and spatial coupling (inductive or electromagnetic coupling) or radar reflection to realize automatic identification of an identified object. The RFID system consists of a reader-writer and a tag. The reader-writer transmits radio frequency signals, and the tag obtains energy from the radio frequency signals and reflects the signals. The RSSI (RECEIVED SIGNAL STRENGTH Indicator of received signal strength) is an Indicator used in RFID systems to measure the strength of received radio frequency signals, and represents the power level of the signals received by the reader. Typically, RSSI values are expressed in decibels (dBm). A higher RSSI value generally indicates a stronger signal strength, while a lower RSSI value indicates a weaker signal strength. In an RFID system, a reader sends a radio frequency signal to a nearby tag, activates the tag and requests its response, and after the tag receives the signal, the tag returns data containing information about the tag itself to the reader by modulating and returning the radio frequency signal. After receiving the response signal of the tag, the reader-writer can decode and acquire the information in the response signal. The RSSI value in an RFID system is affected by a number of factors including the signal propagation environment (e.g., obstructions, reflections, and interference), antenna power, the relative position between the tag and the reader, etc. The RSSI and the distance are related, so that the RSSI and the distance can be used for application scenes such as distance detection, path detection and the like.
At present, the common RSSI distance detection mainly adopts a single tag mode, and the distance is judged according to the size of the RSSI. When there is a multipath effect (multipath effect means that the RFID signal experiences multiple paths during propagation, including a direct path and a reflected path), the RSSI signals of the multiple paths may overlap or cancel each other, resulting in limited accuracy and robustness of ranging.
The multi-label RSSI feature detection can acquire a richer RSSI feature space, and the RSSI signal cancellation problem under the multipath effect can be solved through specific position deployment, so that the distance recognition precision is improved. However, at present, a systematic multi-label position optimization rule guidance is lacking, so that the deployment layout of the multi-label easily influences the system performance, and the problem of multipath effect is difficult to solve accurately and stably.
In order to solve the problems, the invention provides a multi-label arrangement optimization method, and a systematic label position optimization rule algorithm is invented to enable the association of multi-label RSSI characteristics and distances to be optimally represented, so that the distance detection precision is improved.
The technical solutions in the embodiments of the present disclosure will be clearly and completely described below with reference to the drawings in the embodiments of the present disclosure, and it is apparent that the described embodiments are only some embodiments of the present disclosure, but not all embodiments. Based on the embodiments in this disclosure, all other embodiments that a person of ordinary skill in the art would obtain without making any inventive effort are within the scope of protection of this disclosure.
Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the disclosure. One skilled in the relevant art will recognize, however, that the disclosed aspects may be practiced without one or more of the specific details, or with other methods, components, devices, steps, etc. In other instances, well-known methods, devices, implementations, or operations are not shown or described in detail to avoid obscuring aspects of the disclosure.
The flow diagrams depicted in the figures are exemplary only, and do not necessarily include all of the elements and operations/steps, nor must they be performed in the order described. For example, some operations/steps may be decomposed, and some operations/steps may be combined or partially combined, so that the order of actual execution may be changed according to actual situations.
It should be understood that although the terms first, second, third, etc. may be used in this disclosure to describe various components, these components should not be limited by these terms. These terms are used to distinguish one element from another element. Accordingly, a first component discussed below could be termed a second component without departing from the teachings of the concepts of the present disclosure. As used in this disclosure, the term "and/or" includes any one of the associated listed items and all combinations of one or more.
Those skilled in the art will appreciate that the drawings are schematic representations of example embodiments and that the modules or flows in the drawings are not necessarily required to practice the present disclosure, and therefore, should not be taken to limit the scope of the present disclosure.
As shown in fig. 1, one embodiment of the present disclosure provides a method for optimizing the RFID multi-tag location of a cabinet door, the method comprising:
s1, acquiring RFID hardware parameter information and initialization information; the RFID hardware parameter information comprises tag power and reader-writer transmitting power, and the initialization information comprises cabinet door size.
Specifically, the RFID hardware includes a tag and a reader, where the tag power, i.e., the reader received power, and the reader transmitted power, both of which may be represented by a signal strength indicator RSSI, in dBm, where the reader transmitted power is known and the tag power is an unknown quantity, which is related to the relative positions of the tag and the reader. Regarding the cabinet door size, for convenience of the subsequent steps, the cabinet door width may be set to W.
And S2, establishing a mechanism mathematical model according to the tag power and the reader-writer transmitting power.
Specifically, a mechanism mathematical model of RFID distance detection is established according to the RFID hardware parameter information acquired in the step S1, namely the tag power and the reader-writer transmitting power. The model needs to give mathematical expressions on tag power RSSI and its distance from the reader/writer based on the physical characteristics of electromagnetic wave propagation. The mechanism mathematical model is shown in the following formula (1):
PR=c0PT/rn(1)
PR represents tag power, PT represents reader-writer transmitting power, r represents distance between the reader-writer and the tag, n represents propagation factor, the size of the propagation factor depends on the environment, c 0 is gain constant, and the value of the gain constant is related to the medium where the signal is located.
And step S3, setting a multi-label position objective function according to the mechanism mathematical model.
Specifically, according to the formula (1), 10lg (PR) =10 lg (c 0 PT) -10 ng (r) can be obtained. Since the reader transmit power PT is known, b=10lg (c 0 PT) can be set, then the above can be written as pr=b-10ng (r) to represent the RSSI signal received by the reader, where B represents the power of the signal received by the reader when the signal is transmitted 1m away.
Then a coordinate system is established by taking a reader-writer as an origin, and position coordinates (x 1,y1)、(x2,y2) and … … of each label are defined by taking the state monitoring of an electric appliance cabinet door as an example, wherein (x k,yk) is the coordinate difference between the position of each label and the position of the reader-writer, Wherein/>Is the position coordinate of the kth tag, k=1, 2,3, …,/>Is the position coordinates of the antenna. Correlation of door opening and closing angle θ and tag position/>, using relationship between polar coordinates and rectangular coordinates. Specifically, when the cabinet door is closed, the intersection point of the cabinet door rotating shaft and the horizontal plane where the label is located is taken as the origin of coordinates, the intersection line of the horizontal plane where the label is located and the front face of the cabinet door is taken as the x axis, and the direction perpendicular to the x axis and pointing to the outer side of the cabinet door is taken as the y axis positive direction. Assuming that the distance from the kth tag to the origin is ρ k, when the door opening angle is θ, the coordinates of the kth tag are/>. In particular, when the label coordinate of the door closing is θ=0,. Then, the distance r k =/>, between each tag and the reader/writerEach tag power rsi k=1,2,3,…=B-10nlg(rk). Four tags are adopted, and each tag power matrix A θX=[rssi1,rssi2,rssi3,rssi4 in the door-closing state and each tag power matrix A θY=[rssi5,rssi6,rssi7,rssi8 in the door-opening state are set.
The key of setting the objective function is to clearly define the purpose of the monitoring task and describe the purpose in a mathematical expression mode. To maximize the range detection accuracy, the RSSI difference between the RFID tag combinations needs to be as large as possible, so the multi-tag location objective function is defined as:
max(|AθX-AθY|)(2)
In some embodiments, considering the stability of the influence of the tag location on the RSSI of each state, a stability coefficient term λ may be further added to the multi-tag location objective function to represent the stability of the influence of the location on the RSSI, so as to obtain the multi-tag location objective function as follows:
max(|AθX-AθY|)×λ(3)
In still other embodiments, the judging capability under different distance states can be considered, the error is eliminated by the arithmetic average value, and the final multi-label position objective function is as follows:
mean(max(|AθX-AθY|)×λ)(4)
And S4, setting constraint conditions according to the cabinet door size, and solving the multi-label position objective function by utilizing a numerical optimization algorithm according to the constraint conditions to obtain the optimal position of each label.
Specifically, a constraint condition of the position state of each label is established according to actual requirements, then a multi-label position objective function reflecting an optimization problem is put into a solver, and the solver adopts a numerical optimization algorithm to solve an optimal solution of the multi-label position objective function under the constraint condition, so that the optimal position of each label is obtained. In practical application, each label is arranged at the solved corresponding optimal position, so that the cabinet door switch state monitoring of the optimal effect can be realized. The constraints that can be established are: the coordinate range of the label is 0< x k < W, wherein W is the width of the cabinet door; the resolution condition is the signal difference |a θX-AθY | > seuil, where seuil is the resolution threshold, e.g., seuil =0.1; each label is arranged on the inner side of the cabinet door wall and the like. The y value of each label position coordinate calculated based on the solution of the constraint condition is usually in the height range of the cabinet door.
The numerical optimization algorithm is a method for searching the optimal solution, and plays an important role in the fields of engineering, economy and science. The goal of the numerical optimization algorithm is to optimize the numerical value of the objective function by iterative search to meet certain constraints. And (3) carrying out iterative solution on the multi-label position objective function set in the step (S3) by using a numerical optimization algorithm to obtain an optimal scheme of each label position (x k,yk). The algorithm logic in one particular embodiment is as follows:
1. Initialization of
Setting an initial position scheme current_solution and an initial tag position solution state value T (for example, tlet 20);
Calculating initial position energy E_current, and setting state iteration rate alpha and minimum solution state value T min (for example, T min takes 5);
2. Iterative process
When T > T min performs:
For a new location deployment solution new_solution, calculating the energy E_new (i.e. the value of the objective function) of the new location;
The energy of the solution (i.e. the objective function value of the optimization) is calculated: e_current and E_new;
If E_new > E_current, receiving new_solution as new current_solution, otherwise accepting new_solution with exp (E_new-E_current)/T probability;
updating the tag solution state value: t=alpha×t;
3. Outputting the result
And returning the current_solution as the obtained optimal solution, namely the optimal position coordinates of each tag.
After all the labels are arranged according to the obtained optimal position coordinates of each label in the practical application, the expected monitoring effect can be achieved: when the cabinet door is in a closed state, the RFID system can judge that the cabinet door is closed, when the cabinet door is opened, the RFID system can judge that the cabinet door is opened, and when the cabinet door is closed again, the RFID system can judge that the cabinet door is in a closed state.
According to the multi-label position optimizing method for the cabinet door RFID, a mathematical modeling method for the multi-label positions is provided, the optimal label position with the maximum association degree between the label combination RSSI characteristics and the distance can be solved mathematically, rule guidance is provided for multi-label position arrangement, reliability of judging the distance based on the multi-label RSSI characteristics is improved, and the RFID detection precision can be greatly improved based on the distance detection of the multi-label RSSI characteristics.
As shown in fig. 2, another embodiment of the present disclosure provides a cabinet door RFID multi-tag location optimization system, the system comprising:
An acquisition module 201, configured to acquire RFID hardware parameter information and initialization information; the RFID hardware parameter information comprises tag power and reader-writer transmitting power, and the initialization information comprises cabinet door size;
the modeling module 202 is configured to establish a mechanism mathematical model according to the tag power and the reader-writer transmitting power;
the target module 203 is configured to set a multi-label position target function according to the mechanism mathematical model;
and the solving module 204 is configured to set constraint conditions according to the cabinet door size, and solve the multi-label position objective function by using a numerical optimization algorithm according to the constraint conditions, so as to obtain an optimal position of each label.
Specifically, the system for optimizing the position of the cabinet door RFID multi-tag according to the embodiments of the present disclosure is used to implement the method for optimizing the position of the cabinet door RFID multi-tag described in the foregoing embodiments, and the detailed implementation process is described in detail hereinabove, which is not repeated herein.
According to the cabinet door RFID multi-label position optimization system, the optimal label position with the maximum association degree of the label combination RSSI features and the distances can be solved mathematically by using the mathematical modeling method of the multi-label positions, rule guidance is provided for multi-label position arrangement, reliability of judging the distances based on the multi-label RSSI features is improved, and RFID detection accuracy can be greatly improved based on distance detection of the multi-label RSSI features.
As shown in fig. 3, yet another embodiment of the present disclosure provides an electronic device, including:
At least one processor 301; and a memory 302 communicatively coupled to the at least one processor 301 for storing one or more programs that, when executed by the at least one processor 301, enable the at least one processor 301 to implement the cabinet door RFID multi-tag location optimization method described above.
Where the memory 302 and the processor 301 are connected by a bus, the bus may comprise any number of interconnected buses and bridges, the buses connecting the various circuits of the one or more processors 301 and the memory 302 together. The bus may also connect various other circuits such as peripherals, voltage regulators, and power management circuits, which are well known in the art, and therefore, will not be described any further herein. The bus interface provides an interface between the bus and the transceiver. The transceiver may be one element or may be a plurality of elements, such as a plurality of receivers and transmitters, providing a means for communicating with various other apparatus over a transmission medium. The data processed by the processor 301 is transmitted over a wireless medium via an antenna, which further receives the data and transmits the data to the processor 301.
The processor 301 is responsible for managing the bus and general processing and may also provide various functions including timing, peripheral interfaces, voltage regulation, power management, and other control functions. And memory 302 may be used to store data used by processor 301 in performing operations.
Yet another embodiment of the present disclosure provides a computer readable storage medium storing a computer program which, when executed by a processor, implements the cabinet door RFID multi-tag location optimization method described above.
The computer readable storage medium may be included in the system and the electronic device of the present disclosure, or may exist alone.
A computer readable storage medium may be any tangible medium that can contain, or store a program that can be electronic, magnetic, optical, electromagnetic, infrared, semiconductor systems, apparatus, device, more specific examples including, but not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, an optical fiber, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof.
The computer readable storage medium may also include a data signal propagated in baseband or as part of a carrier wave, with the computer readable program code embodied therein, specific examples of which include, but are not limited to, electromagnetic signals, optical signals, or any suitable combination thereof.
It is to be understood that the above embodiments are merely exemplary embodiments employed to illustrate the principles of the present disclosure, however, the present disclosure is not limited thereto. Various modifications and improvements may be made by those skilled in the art without departing from the spirit and substance of the disclosure, and are also considered to be within the scope of the disclosure.
Claims (8)
1. A method for optimizing the position of a cabinet door RFID multi-tag, the method comprising:
Acquiring RFID hardware parameter information and initialization information; the RFID hardware parameter information comprises tag power and reader-writer transmitting power, and the initialization information comprises cabinet door size;
According to the tag power and the reader-writer transmitting power, a mechanism mathematical model shown in the following formula (1) is established:
PR=c0PT/rn(1)
PR represents tag power, PT represents reader-writer transmitting power, r represents distance between the reader-writer and the tag, n represents propagation factor, the size of the propagation factor depends on the environment, c 0 is gain constant, and the value of the gain constant is related to a medium where a signal is located;
setting a multi-label position objective function shown in the following formula (2) according to the mechanism mathematical model:
max(|AθX-AθY|)(2)
Wherein, a θX and a θY are respectively tag power matrices in a door closing state and a door opening state, each tag power matrix a= [ rsi 1,rssi2,rssi3, … ], each tag power rsi k=1,2,3,…=10lg(c0PT)-10nlg(rk), and the distance r k=,(xk, yk between the reader and each tag is the coordinate difference between the position of each tag and the position of the reader;
and setting constraint conditions according to the cabinet door size, and solving the multi-label position objective function by utilizing a numerical optimization algorithm according to the constraint conditions to obtain the optimal position of each label.
2. The method of claim 1, wherein the multi-tag location objective function further comprises a stationary coefficient λ; the multi-tag location objective function is represented by the following formula (3):
max(|AθX-AθY|)×λ(3)。
3. The method of claim 2, wherein the multi-tag location objective function further removes errors as an arithmetic average; the multi-tag location objective function is represented by the following formula (4):
mean(max(|AθX-AθY|)×λ)(4)。
4. A method according to any one of claims 1 to 3, wherein the constraints include a tag coordinate range and a resolution condition.
5. The method of claim 4, wherein the label coordinate range is 0< x k < W, W being cabinet door width; and/or the number of the groups of groups,
The resolution condition is |A θX-AθY | > seuil, and seuil is a resolution threshold.
6. A cabinet door RFID multi-tag location optimization system, the system comprising:
The acquisition module is used for acquiring the RFID hardware parameter information and the initialization information; the RFID hardware parameter information comprises tag power and reader-writer transmitting power, and the initialization information comprises cabinet door size;
the modeling module is used for building a mechanism mathematical model shown in the following formula (1) according to the tag power and the reader-writer transmitting power:
PR=c0PT/rn(1)
PR represents tag power, PT represents reader-writer transmitting power, r represents distance between the reader-writer and the tag, n represents propagation factor, the size of the propagation factor depends on the environment, c 0 is gain constant, and the value of the gain constant is related to a medium where a signal is located;
The target module is used for setting a multi-label position target function shown in the following formula (2) according to the mechanism mathematical model:
max(|AθX-AθY|)(2)
Wherein, a θX and a θY are respectively tag power matrices in a door closing state and a door opening state, each tag power matrix a= [ rsi 1,rssi2,rssi3, … ], each tag power rsi k=1,2,3,…=10lg(c0PT)-10nlg(rk), and the distance r k=,(xk, yk between the reader and each tag is the coordinate difference between the position of each tag and the position of the reader;
And the solving module is used for setting constraint conditions according to the cabinet door size, and solving the multi-label position objective function by utilizing a numerical optimization algorithm according to the constraint conditions to obtain the optimal position of each label.
7. An electronic device, comprising:
At least one processor; and
A memory communicatively coupled to the at least one processor for storing one or more programs that, when executed by the at least one processor, cause the at least one processor to implement the cabinet door RFID multi-label position optimization method of any one of claims 1-5.
8. A computer-readable storage medium having a computer program stored thereon, characterized in that,
The computer program, when executed by a processor, enables a method for optimizing the RFID multi-tag location of a cabinet door according to any one of claims 1 to 5.
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| CN105488446A (en) * | 2015-11-27 | 2016-04-13 | 深圳市利谱信息技术有限公司 | System and method for identifying multiple RFID tags in sealed metal environment |
| CN106785331A (en) * | 2016-11-16 | 2017-05-31 | 刘启达 | It is applied to the intelligent counter system of the linear polarization near field antenna of gold and jewelry industry |
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| CN105488446A (en) * | 2015-11-27 | 2016-04-13 | 深圳市利谱信息技术有限公司 | System and method for identifying multiple RFID tags in sealed metal environment |
| CN106785331A (en) * | 2016-11-16 | 2017-05-31 | 刘启达 | It is applied to the intelligent counter system of the linear polarization near field antenna of gold and jewelry industry |
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