RFID antenna power control method, system, electronic device and storage medium considering partition identification

Abstract

The present invention discloses an RFID antenna power control method, system, electronic device, and storage medium that considers partitioned identification. The control method comprises: S1: the RFID antenna transmits an electromagnetic signal to the RFID tag according to a preset transmission power level; S2: the RFID tag carried by each electricity meter responds to the electromagnetic signal and receives a reference message fed back by the corresponding electricity meter; S3: the RFID reader receives and records the RFID data transmission rate, response signal strength, corresponding electricity meter reference information, and transmission power level of each RFID tag at different transmission power levels; S4: calculating characteristic values ​​based on the received data and calculating confidence levels based on the number of electricity meters fed back; S5: combining the characteristic values ​​and confidence levels at different transmission power levels to determine the optimal RFID antenna transmission power level. The present invention solves the problem that existing RFID systems have difficulty achieving accurate fine-grained identification in complex storage environments, and that signal reflection and interference increase the complexity of data management.

Description

Technical Field

[0001] The present invention belongs to the technical field of radio frequency identification, and in particular relates to an RFID antenna power control technology considering partition identification, which is specifically used for batch identification of electric energy meters. Background Art

[0002] With the rapid development of power systems and the dramatic increase in the number of electricity meters in use, managing these meters efficiently and accurately has become a significant challenge. Traditional mechanical electricity meters, due to their low level of intelligence, typically rely on manual on-site meter reading, a method that is not only inefficient but also prone to data errors. Although electronic electricity meters have improved data recording and transmission to some extent, they still face challenges such as full lifecycle data tracking and precise query positioning. RFID technology, as an effective automatic identification technology, has been introduced into electricity meter management to address these challenges. However, RFID technology has also exposed some technical flaws in practical applications, especially when used in electricity meter storage cabinets. These flaws have a significant impact on the accuracy and efficiency of the system.

[0003] In existing RFID systems, antennas are typically mounted on the top of storage cabinets or other fixed locations, aiming to cover the entire storage area. However, this integrated identification approach hinders granular data tracking and management when the number of energy meters is large and their storage locations are complex. Furthermore, RFID signals encounter various reflections and interference during propagation, which is particularly pronounced in environments with dense metal objects. Storage cabinets often contain numerous metal objects, which can reflect RFID signals, leading to duplicate or missed signal recognition. Specifically, signal reflections can prevent RFID readers from accurately determining the location and number of tags. This not only affects data accuracy but also increases the complexity of subsequent management and processing. Storage cabinet designs often require complex shielding measures to prevent readers from identifying energy meters in adjacent cabinets. These measures include using RFID shielding materials inside and outside the cabinets and adjusting the position and angle of the antennas. While these shielding measures can reduce interference, they also increase system complexity and cost. Furthermore, in practice, signal interference from adjacent cabinets can still occur, and this interference problem can be exacerbated, especially in high-density storage environments.

[0004] Prior art, Chinese patent publication number CN108847011A discloses a multi-meter data reading method and system based on RFID communication. The method comprises the following steps: S1. Installing an RFID-enabled smart meter with an integrated RFID module at each energy collection point; S2. Controlling the RFID reader / writer module to read data from each RFID smart meter within its range. When two or more RFID smart meters simultaneously transmit data to the RFID reader / writer module, a binary tree search algorithm is used to identify each RFID smart meter; S3. Receive data read by each RFID reader / writer module in real time, store and process it, and upload it to a cloud platform system. The system includes multiple RFID smart meters, multiple RFID reader / writer modules, and a data reading control terminal. This invention uses an adaptive binary tree search algorithm, which may require a deeper search tree and more computing resources as the number of meters increases. While the adaptive branching strategy helps improve efficiency, large-scale deployment or frequent collisions of electricity meters may increase algorithm complexity and processing time. Summary of the Invention

[0005] The present invention provides an RFID antenna power control method, system, electronic device and storage medium considering partition identification, aiming to solve the problems that existing RFID systems are difficult to achieve accurate fine-grained identification in complex storage environments, and signal reflection and interference problems increase the complexity of data management.

[0006] In order to solve the above technical problems,

[0007] The present invention provides an RFID antenna power control method considering partition identification.

[0008] The following steps are involved:

[0009] S1: The RFID reader controls the RFID antenna to adjust the transmission power to transmit electromagnetic signals of different intensities, and transmits the electromagnetic signals to the RFID tag in the electricity meter storage cabinet according to the preset transmission power level.

[0010] S2: The RFID tag carried by each energy meter responds to the electromagnetic signal emitted by the RFID antenna and receives the reference message fed back by the corresponding energy meter.

[0011] S3: The RFID tag sends the received energy meter reference information back to the RFID reader. At the same time, the RFID reader receives and records the RFID data transmission rate, response signal strength, corresponding energy meter reference information and transmission power level of each RFID tag at different transmission power levels.

[0012] S4: Calculate the characteristic value based on the electromagnetic signal power, response signal strength and corresponding electric energy meter reference information of each transmission power level. The characteristic value is used to quantify the accuracy of RFID antenna power for partition identification, and calculate the confidence of each transmission power level based on the number of electric energy meters fed back.

[0013] S5: Determine the optimal RFID antenna transmission power level by combining the characteristic values ​​and confidence levels at different transmission power levels.

[0014] Preferably, the electric energy meter reference information includes: identification information, location coordinates of the electric energy meter inside the storage cabinet, partition number and RFID tag installation position.

[0015] Preferably, the characteristic value calculated in step S4 according to the electromagnetic signal power, response signal strength and corresponding electric energy meter reference information of each transmission power level is specifically:

[0016]

[0017] In the formula, Feature i is the characteristic value of the i-th transmission power level; N s is the total number of energy meters that respond under the i-th transmission power level, j∈[1,N s ]; S ij is the response signal strength of electric energy meter j at the i-th transmission power level; P i is the electromagnetic signal power of the i-th transmission power level; R j is the reference information of electric energy meter j; f(R j ) is the distance attenuation function of the electric energy meter j, which indicates the influence of the RFID tag position corresponding to the electric energy meter j on the distance of the partition identification.

[0018] Preferably, the actual distance between the RFID tag of each electric energy meter and the RFID reader is calculated using the position coordinates of the electric energy meter inside the storage cabinet, the RFID tag installation position, and the position coordinates of the RFID reader inside the storage cabinet. The position weight of the RFID tag is calculated using a distance attenuation model, and a distance attenuation function is calculated based on the obtained position weight, specifically:

[0019] f(R j )=w p w u

[0020] Where w p is the location weight of the RFID tag; w uThis is the correction factor for the energy meter. It is used to correct the signal attenuation or reflection caused by distance according to the partition number of the energy meter. It takes a value of 0 when the energy meter is identified as belonging to another storage cabinet to prevent the electromagnetic signal from spreading to irrelevant partitions.

[0021] Preferably, the step S5 is specifically as follows:

[0022] Set the optimal transmission power level set and preset the number of set elements to N, determine the number of cluster centers of the clustering algorithm, output the optimal transmission power level set through the K-means clustering algorithm using the eigenvalues ​​and confidence levels, calculate the energy efficiency index of the optimal transmission power set, perform a comprehensive score, and select the transmission power level with the highest score as the final optimal transmission power level.

[0023] Preferably, in step S5, the energy efficiency index is calculated for the optimal transmit power set, and the transmit power level with the highest score is selected as the final optimal transmit power level. Specifically,

[0024] The energy efficiency value of each transmission power level is calculated according to the energy efficiency function. The energy efficiency value is the ratio of the performance index to the energy consumption. The performance index is the RFID data transmission rate.

[0025] Normalize the priority and energy efficiency values, and use a weighted scoring formula to combine the priority and energy efficiency to calculate the comprehensive score for each transmit power level. Specifically:

[0026] G i =ax+by

[0027] Where G i is the comprehensive score of the i-th transmission power level; a is the priority weight factor; x is the priority value of the transmission power level; b is the energy efficiency weight factor; y is the energy efficiency value of the transmission power level.

[0028] According to the calculated weighted scores, the transmit power level with the highest score is selected as the final optimal transmit power level.

[0029] Preferably, the method further includes: if the RFID tag carried by the electric energy meter does not respond to the electromagnetic signal transmitted by the RFID antenna after the RFID reader controls the RFID antenna to transmit an electromagnetic signal according to the transmission power level, firstly performing stepwise adjustments on the final optimal transmission power level according to a preset step size, and after each adjustment of the transmission power, testing whether the electric energy meter can correctly send a response signal; if the RFID tag carried by the electric energy meter still does not respond at these adjusted transmission power levels, selecting the remaining optimal transmission power levels in the optimal transmission power level set in sequence according to a predetermined priority order, and adjusting and testing with the same step size until the RFID tag carried by the electric energy meter responds to the electromagnetic signal transmitted by the RFID antenna.

[0030] On the other hand, the present invention provides an RFID antenna power control system considering partition identification, including: a transmission control module, a tag response and message receiving module, a data collection module, a feature calculation and confidence evaluation module and an optimal transmission power level determination module.

[0031] The transmission control module is used by the RFID reader to control the RFID antenna to adjust the transmission power to transmit electromagnetic signals of different intensities, and transmit the electromagnetic signals to the RFID tag in the electricity meter storage cabinet according to the preset transmission power level.

[0032] The tag response and message receiving module is used for the RFID tag carried by each electric energy meter to respond to the electromagnetic signal emitted by the RFID antenna and receive the reference message fed back by the corresponding electric energy meter.

[0033] The data collection module is used for the RFID tag to send the received electric energy meter reference information back to the RFID reader. At the same time, the RFID reader receives and records the RFID data transmission rate, response signal strength, corresponding electric energy meter reference information and transmission power level of each RFID tag at different transmission power levels.

[0034] The feature calculation and confidence assessment module is used to calculate the characteristic value based on the electromagnetic signal power, response signal strength and corresponding electric energy meter reference information of each transmission power level. The characteristic value is used to quantify the accuracy of RFID antenna power for partition identification, and calculate the confidence of each transmission power level based on the number of electric energy meters fed back.

[0035] The optimal transmission power level determination module is used to determine the optimal RFID antenna transmission power level by combining the characteristic values ​​and confidence levels at different transmission power levels.

[0036] On the other hand, the present invention also provides an electronic device, comprising: a memory, a processor, and a computer program stored on the memory and runnable on the processor, wherein when the processor executes the computer program, the RFID antenna power control method considering partition identification as described in any embodiment of the present invention is implemented.

[0037] In another aspect, the present invention further provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the method for controlling RFID antenna power considering partition identification as described in any embodiment of the present invention is implemented.

[0038] Compared with the prior art, the present invention has the following technical effects:

[0039] 1. The RFID antenna power control method for partitioned identification described in the present invention adjusts the RFID antenna's transmission power and records the response signal strength and electricity meter reference information at different transmission power levels. This method can more accurately identify electricity meters in different partitions within a storage cabinet, reducing the possibility of duplicate identification and missed identification. By adjusting the transmission power and calculating the optimal power level based on the eigenvalue and confidence level, the transmission power is dynamically optimized, thereby improving the accuracy and reliability of identification. By calculating the distance attenuation function, the impact of RFID signal attenuation and reflection on identification is more accurately reflected, further enhancing the recognition effect.

[0040] 2. The RFID antenna power control method for zoned identification described in this invention reduces the likelihood of collisions by adjusting the transmit power level, directly optimizing identification accuracy and thus reducing the complexity of collision handling. A K-means clustering algorithm is used to cluster eigenvalues ​​and confidence levels, selecting the optimal set of transmit power levels from a variety of transmit power levels. A comprehensive score is then generated based on energy efficiency indicators to optimize the selection of the optimal transmit power level. This effectively balances RFID system performance and energy consumption, improving overall efficiency.

[0041] 3. The RFID antenna power control method considering partition identification described in the present invention improves the adaptability of the RFID system by gradually adjusting the transmission power when the RFID tag fails to respond and testing whether the electric energy meter can respond correctly during the adjustment process. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 This is an overall flow chart of the RFID antenna power control method considering partition identification according to the present invention. DETAILED DESCRIPTION

[0043] In order to make the objectives, technical solutions and advantages of the present invention more clear, the technical solutions of the present invention will be clearly and completely described below in combination with specific embodiments of the present application and with reference to the accompanying drawings.

[0044] Example 1

[0045] In modern power systems, storage cabinets equipped with numerous energy meters are primarily used to monitor and manage electricity usage. These meters record and measure energy consumption in real time, including parameters such as voltage, current, and power. They help power companies accurately measure individual users' energy consumption to ensure accurate billing. Therefore, by incorporating the method described in this embodiment into centralized energy meter management, power companies can more easily track and maintain energy meters, enabling automated data collection and system monitoring, thereby improving overall management efficiency and reliability.

[0046] This embodiment provides an RFID antenna power control method that takes into account partitioned identification. The operating frequency bands of existing RFID systems are mainly divided into low frequency (LF, 125kHz), high frequency (HF, 13.56MHz), and ultra-high frequency (UHF, 860-960MHz). RFID tags and RFID readers must operate in the same frequency band for effective communication. UHF RFID tags offer longer read distances and faster read / write speeds, making them suitable for large-area identification.

[0047] The method described in this embodiment is mainly applied to the RFID system in the ultra-high frequency band. Figure 1 As shown, the following steps are included:

[0048] S1: The RFID reader controls the RFID antenna to adjust the transmission power to transmit electromagnetic signals of different intensities according to the preset transmission power level P. tx ={P1,P2,…,P L}, where L is the total number of preset transmission power levels. An electromagnetic signal is transmitted to an RFID tag in a storage cabinet of the electric energy meter. Specifically, an RFID reader with an adjustable power setting is activated to transmit electromagnetic signals of varying intensities by adjusting the transmission power. Data can be stored using a built-in data logging system or an external database.

[0049] S2: The RFID tag carried by each energy meter responds to the electromagnetic signal emitted by the RFID antenna and receives the reference message fed back by the corresponding energy meter.

[0050] As a preferred implementation of this embodiment, the energy meter reference information includes: identification information, the location coordinates of the energy meter within the storage cabinet, the partition number, and the RFID tag installation position. The identification information can be a unique identification code or serial number for each energy meter. The partition number indicates the number of the different areas or partitions within the storage cabinet. Different partitions may contain other objects or obstacles such as tools, debris, or electrical equipment, which affect the propagation and reflection of RFID electromagnetic signals. The RFID tag installation position indicates the relative installation position of the RFID tag on the energy meter, which affects the emission and reception of RFID electromagnetic signals.

[0051] S3: The RFID tag sends the received energy meter reference information back to the RFID reader. At the same time, the RFID reader receives and records the RFID data transmission rate and response signal strength S of each RFID tag at different transmission power levels. i,j (represents the response signal strength of the jth RFID tag at the i-th transmission power), its corresponding electric energy meter reference information and transmission power level.

[0052] S4: Calculate the characteristic value based on the electromagnetic signal power, response signal strength and corresponding electric energy meter reference information of each transmission power level. The characteristic value is used to quantify the accuracy of RFID antenna power for partition identification, and calculate the confidence of each transmission power level based on the number of electric energy meters fed back.

[0053] As a preferred implementation of this embodiment, the characteristic value calculated in step S4 according to the electromagnetic signal power, response signal strength and corresponding electric energy meter reference information of each transmission power level is specifically:

[0054]

[0055] In the formula, Feature i is the characteristic value of the i-th transmission power level; N s is the total number of energy meters that respond under the i-th transmission power level, j∈[1,N s ]; S ij is the response signal strength of the RFID tag corresponding to the energy meter j at the i-th transmission power level; P i is the electromagnetic signal power of the i-th transmission power level; R j is the reference information of electric energy meter j; f(R j ) is the distance attenuation function of the electric energy meter j, which indicates the influence of the RFID tag position corresponding to the electric energy meter j on the distance of the partition identification.

[0056] As a preferred implementation of this embodiment, the actual distance between the RFID tag of each electricity meter and the RFID reader is calculated using the position coordinates of the electricity meter inside the storage cabinet, the RFID tag installation position, and the position coordinates of the RFID reader inside the storage cabinet. The position weight of the RFID tag is calculated using a distance attenuation model, and a distance attenuation function is calculated based on the obtained position weight. Specifically,

[0057] f(R j )=w p w u

[0058] Where w p is the location weight of the RFID tag; w u This is the correction factor for the energy meter. It is used to correct the signal attenuation or reflection caused by distance according to the partition number of the energy meter. It takes a value of 0 when the energy meter is identified as belonging to another storage cabinet to prevent the electromagnetic signal from spreading to irrelevant partitions.

[0059] The calculation formula for calculating the position weight of the RFID tag using the distance decay model is as follows:

[0060]

[0061] Where L(d0) is the path loss, and its value depends on the environment; d0 is the near-ground reference distance; n sf is the path loss factor, which is usually 3 in a semi-enclosed space and 3.5 in a fully enclosed space; d j is the position distance of the RFID tag corresponding to the energy meter j relative to the reader, which can be calculated through the RFID reader position coordinates, the position coordinates of the energy meter inside the storage cabinet, and the RFID tag installation position. Specifically, the relative distance between the RFID tag and the energy meter is calculated through the position coordinates of the energy meter inside the storage cabinet and the RFID tag installation position. According to the relative distance, the RFID tag installation position is converted into the position coordinates in the same coordinate system as the RFID reader position coordinates, and then the position distance of the RFID tag relative to the reader is obtained through the Euclidean distance formula; α is the channel attenuation factor, which is usually taken as 0.2.

[0062] Furthermore, the calculation formula of I(d0) is as follows:

[0063]

[0064] Where f is the transmission frequency of the RFID reader; d0 is the near-ground reference distance.

[0065] As a preferred implementation of this embodiment, the confidence level can be calculated using the corresponding Z value (normal distribution, usually 1.96) or t value (Student's t distribution, depending on the sample size and confidence level) according to the set confidence level. This embodiment uses the Z value to calculate the confidence interval as an example to evaluate the confidence interval of each transmit power level. Specifically, assuming that n sample data points are collected, the sample data mean and the sample data standard deviation are calculated based on the sample data volume, and the confidence level is selected (generally 95%). The confidence interval of each transmit power level is calculated using the Z value formula, specifically:

[0066]

[0067] Where, CI is the confidence interval; is the mean of the sample data; Z is the Z value; s is the standard deviation of the sample data; n is the sample size.

[0068] As a preferred implementation of this embodiment, the RFID reader can also be equipped with a noise measurement function or a suitable noise estimation algorithm can be selected based on the hardware and application requirements of the RFID reader. This function can measure the background noise level and estimate the noise intensity when the RFID reader does not receive the RFID tag signal. The signal-to-noise ratio for each transmission power level is calculated based on the response signal strength measured when the RFID reader receives the RFID tag signal. The specific calculation formula for the signal-to-noise ratio is:

[0069]

[0070] Where SNR is the signal-to-noise ratio; S is the response signal strength; and N is the background noise strength.

[0071] The signal-to-noise ratio index calculated above is combined with the eigenvalue and confidence level and input into the K-means clustering algorithm to improve the accuracy of selecting the transmit power level.

[0072] S5: Determine the optimal RFID antenna transmission power level by combining the characteristic values ​​and confidence levels at different transmission power levels.

[0073] As a preferred implementation of this embodiment, step S5 is specifically as follows:

[0074] The optimal transmit power level set is set and the number of elements in the set is preset to N. The number of cluster centers of the clustering algorithm is determined. The eigenvalues ​​and confidence levels are used to output the optimal transmit power level set through the K-means clustering algorithm. The energy efficiency index of the optimal transmit power set is calculated, and a comprehensive score is performed. The transmit power level with the highest score is selected as the final optimal transmit power level. Furthermore, the eigenvalues ​​and confidence levels are used to output the optimal transmit power level set through the K-means clustering algorithm. Specifically, the eigenvalues ​​and confidence levels are combined into a comprehensive eigenvector and each eigenvector is normalized. The number of cluster centers of the clustering algorithm is determined. The eigenvectors are input into the K-means clustering algorithm, each eigenvector is assigned to the nearest cluster center, and the cluster center is updated to the mean of all eigenvectors assigned to the center. Repeat the above steps until the cluster centers stabilize or converge, obtaining the centers of K clusters and the cluster to which each eigenvector belongs. Cluster quality is assessed based on metrics such as the number of cluster samples. Clusters with more samples can identify a wider range of RFID tags. The transmit power levels within the selected clusters are ranked by confidence priority, specifically, with transmit power levels with narrower confidence intervals receiving higher priority. The optimal set of transmit power levels is then selected using a preset number N of set elements.

[0075] As a preferred implementation of this embodiment, in step S5, the energy efficiency index is calculated for the optimal transmit power set, and the transmit power level with the highest score is selected as the final optimal transmit power level. Specifically,

[0076] The energy efficiency value of each transmission power level is calculated according to the energy efficiency function. The energy efficiency value is the ratio of the performance index to the energy consumption. The performance index is the RFID data transmission rate.

[0077] Normalize the priority and energy efficiency values, and use a weighted scoring formula to combine the priority and energy efficiency to calculate the comprehensive score for each transmit power level. Specifically:

[0078] G i =ax+by

[0079] Where G i is the comprehensive score of the i-th transmission power level; a is the priority weight factor; x is the priority value of the transmission power level; b is the energy efficiency weight factor, specifically, a+b=1, the weight factor can be adjusted according to actual needs to balance the impact of priority and energy efficiency. In this embodiment, priority is more important, so the priority weight factor is set to at least 0.5; y is the energy efficiency value of the transmission power level.

[0080] Based on the calculated weighted scores, the transmission power level with the highest score is selected as the final optimal transmission power level to ensure that the transmission power level has the best energy efficiency performance while ensuring that the RFID tag carried by the electricity meter responds to the transmitted electromagnetic signal.

[0081] As a preferred implementation manner of this embodiment, the method further includes: if the RFID tag carried by the electric energy meter does not respond to the electromagnetic signal transmitted by the RFID antenna after the RFID reader controls the RFID antenna to transmit an electromagnetic signal according to the transmission power level, firstly, stepwise adjustment is performed on the final optimal transmission power level according to a preset step size (specifically, 0.1dB-0.5dB), and after each adjustment of the transmission power, the electric energy meter is tested to see whether it can correctly send a response signal until the set upper limit of the range is reached, wherein the set range is determined by the set transmission power level range; if the RFID tag carried by the electric energy meter still does not respond at these adjusted transmission power levels, the remaining optimal transmission power levels in the optimal transmission power level set are selected in sequence according to a predetermined priority order, and are adjusted and tested with the same step size until the RFID tag carried by the electric energy meter responds to the electromagnetic signal transmitted by the RFID antenna, the transmission power level is adjusted and tested according to the preset step size, and the transmission power level that can ensure a stable response of the electric energy meter is re-determined.

[0082] If the RFID tag on the energy meter still does not respond after iterating the optimal transmit power level set, try to reconfigure the RFID reader and energy meter. You may need to check and adjust the parameter settings of the RFID communication protocol, or restart or reconfigure related devices such as the RFID reader to resolve the communication problem.

[0083] Example 2

[0084] Accordingly, this embodiment provides an RFID antenna power control system considering partition identification, including: a transmission control module, a tag response and message receiving module, a data collection module, a feature calculation and confidence evaluation module, and an optimal transmission power level determination module.

[0085] The transmission control module is used by the RFID reader to control the RFID antenna to adjust the transmission power to transmit electromagnetic signals of different intensities, and transmit the electromagnetic signals to the RFID tag in the electricity meter storage cabinet according to the preset transmission power level. This module is used to implement the function of step S1 in Example 1 and will not be repeated here.

[0086] The tag response and message receiving module is used for the RFID tag carried by each electricity meter to respond to the electromagnetic signal emitted by the RFID antenna and receive the reference message fed back by the corresponding electricity meter. This module is used to implement the function of step S2 in Example 1 and will not be repeated here.

[0087] The data collection module is used for the RFID tag to send the received electric energy meter reference information back to the RFID reader. At the same time, the RFID reader receives and records the RFID data transmission rate, response signal strength, corresponding electric energy meter reference information and transmission power level of each RFID tag at different transmission power levels. This module is used to implement the function of step S3 in Example 1 and will not be repeated here.

[0088] The feature calculation and confidence assessment module is used to calculate the characteristic value based on the electromagnetic signal power, response signal strength and corresponding electric energy meter reference information of each transmission power level. The characteristic value is used to quantify the accuracy of the RFID antenna power for partition identification, and calculate the confidence of each transmission power level based on the number of electric energy meters fed back. This module is used to implement the function of step S4 in Example 1 and will not be repeated here.

[0089] The optimal transmission power level determination module is used to determine the optimal RFID antenna transmission power level by combining the characteristic values ​​and confidence levels at different transmission power levels. This module is used to implement the function of step S5 in the first embodiment and will not be described in detail here.

[0090] Example 3

[0091] This embodiment provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the RFID antenna power control method considering partition identification as described in any embodiment of the present invention is implemented.

[0092] Example 4

[0093] This embodiment provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the RFID antenna power control method considering partition identification as described in any embodiment of the present invention is implemented.

[0094] In the embodiments of the present application, "at least one" refers to one or more, and "more" refers to two or more. "And / or" describes the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can represent the existence of A alone, the existence of A and B at the same time, and the existence of B alone. Among them, A and B can be singular or plural. The character " / " generally indicates that the previous and next associated objects are in an "or" relationship. "At least one of the following" and similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one of a, b and c can represent: a, b, c, a and b, a and c, b and c or a and b and c, where a, b, c can be single or multiple.

[0095] Those skilled in the art will appreciate that the various units and algorithm steps described in the embodiments disclosed herein can be implemented using a combination of electronic hardware, computer software, and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0096] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0097] In the several embodiments provided in this application, if any function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in each embodiment of this application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory; hereinafter referred to as: ROM), random access memory (Random Access Memory; hereinafter referred to as: RAM), magnetic disk or optical disk, and other media that can store program code.

[0098] The above descriptions are merely embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention's description and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A RFID antenna power control method considering partition identification, It is characterized by: The following steps are involved: S1: The RFID reader controls the RFID antenna to adjust the transmission power to emit electromagnetic signals of different intensities, and transmits the electromagnetic signals to the RFID tag in the energy meter storage cabinet according to the preset transmission power level; S2: The RFID tag carried by each energy meter responds to the electromagnetic signal emitted by the RFID antenna and receives the reference information fed back by the corresponding energy meter; S3: The RFID tag sends the received energy meter reference information back to the RFID reader. At the same time, the RFID reader receives and records the RFID data transmission rate, response signal strength, corresponding energy meter reference information and transmission power level of each RFID tag at different transmission power levels. S4: Calculating a characteristic value based on the electromagnetic signal power, response signal strength, and corresponding electric energy meter reference information at each transmission power level. The characteristic value is used to quantify the accuracy of the RFID antenna power for partition identification, and calculating the confidence level of each transmission power level based on the number of electric energy meters fed back. S5: Determine the optimal RFID antenna transmission power level by combining the characteristic values ​​and confidence levels at different transmission power levels.

2. The RFID antenna power control method considering partition identification according to claim 1, It is characterized by: The electric energy meter reference information includes: identification information, position coordinates of the electric energy meter inside the storage cabinet, partition number and RFID tag installation position.

3. The RFID antenna power control method considering partition identification according to claim 2, It is characterized by: The characteristic value calculated in step S4 according to the electromagnetic signal power, response signal strength and corresponding electric energy meter reference information of each transmission power level is specifically: In the formula, Feature i is the characteristic value of the i-th transmission power level; N s is the total number of energy meters that respond under the i-th transmission power level, j∈[1,N s ]; S ij is the response signal strength of electric energy meter j at the i-th transmission power level; P i is the electromagnetic signal power of the i-th transmission power level; R j is the reference information of electric energy meter j; f(R j ) is the distance attenuation function of the electric energy meter j, which indicates the influence of the RFID tag position corresponding to the electric energy meter j on the distance of the partition identification.

4. The RFID antenna power control method considering partition identification according to claim 3, It is characterized by: The actual distance between the RFID tag of each electricity meter and the RFID reader is calculated using the location coordinates of the electricity meter inside the storage cabinet, the RFID tag installation location, and the location coordinates of the RFID reader inside the storage cabinet. The distance attenuation model is used to calculate the location weight of the RFID tag, and the distance attenuation function is calculated based on the obtained location weight. Specifically, d(R j )=w p ·w u Where w p is the location weight of the RFID tag; w u This is the correction factor for the energy meter. It is used to correct the signal attenuation or reflection caused by distance according to the partition number of the energy meter. It takes a value of 0 when the energy meter is identified as belonging to another storage cabinet to prevent the electromagnetic signal from spreading to irrelevant partitions.

5. The RFID antenna power control method considering partition identification according to claim 1, It is characterized by: The step S5 is specifically as follows: Set the optimal transmission power level set and preset the number of set elements to N, determine the number of cluster centers of the clustering algorithm, output the optimal transmission power level set through the K-means clustering algorithm using the eigenvalues ​​and confidence levels, calculate the energy efficiency index of the optimal transmission power set, perform a comprehensive score, and select the transmission power level with the highest score as the final optimal transmission power level.

6. The RFID antenna power control method considering partition identification according to claim 5, It is characterized by: In step S5, the energy efficiency index is calculated for the optimal transmit power set, and the transmit power level with the highest score is selected as the final optimal transmit power level. Specifically, the following steps are performed: The energy efficiency value of each transmission power level is calculated based on the energy efficiency function. The energy efficiency value is the ratio of the performance index to the energy consumption. The performance index is the RFID data transmission rate. Normalize the priority and energy efficiency values, and use a weighted scoring formula to combine the priority and energy efficiency to calculate the comprehensive score for each transmit power level. Specifically: G i =ax+by Where G i is the comprehensive score of the i-th transmission power level; a is the priority weight factor; x is the priority value of the transmission power level; b is the energy efficiency weight factor; y is the energy efficiency value of the transmission power level; According to the calculated weighted scores, the transmit power level with the highest score is selected as the final optimal transmit power level.

7. The RFID antenna power control method considering partition identification according to claim 5, It is characterized by: The method further comprises: If the RFID tag carried by the electricity meter does not respond to the electromagnetic signal transmitted by the RFID antenna after the RFID reader controls the RFID antenna to transmit an electromagnetic signal according to the transmission power level, the final optimal transmission power level is first adjusted step by step according to a preset step size. After each adjustment of the transmission power, the electricity meter is tested to see whether it can correctly send a response signal; if the RFID tag carried by the electricity meter still does not respond at these adjusted transmission power levels, the remaining optimal transmission power levels in the optimal transmission power level set are selected in sequence according to a predetermined priority order, and are adjusted and tested with the same step size until the RFID tag carried by the electricity meter responds to the electromagnetic signal transmitted by the RFID antenna.

8. A control system using the RFID antenna power control method considering zone identification according to any one of claims 1 to 7, It is characterized by: It includes: a transmission control module, a tag response and message receiving module, a data collection module, a feature calculation and confidence assessment module, and an optimal transmission power level determination module; The transmission control module is used for the RFID reader to control the RFID antenna to adjust the transmission power to transmit electromagnetic signals of different intensities, and transmit the electromagnetic signals to the RFID tag in the energy meter storage cabinet according to the preset transmission power level; The tag response and message receiving module is used for the RFID tag carried by each electric energy meter to respond to the electromagnetic signal emitted by the RFID antenna and receive the reference information fed back by the corresponding electric energy meter; The data collection module is used for the RFID tag to send the received energy meter reference information back to the RFID reader. At the same time, the RFID reader receives and records the RFID data transmission rate, response signal strength, corresponding energy meter reference information and transmission power level of each RFID tag at different transmission power levels; A feature calculation and confidence assessment module is used to calculate feature values ​​based on the electromagnetic signal power, response signal strength, and corresponding electric energy meter reference information at each transmission power level. The feature values ​​are used to quantify the accuracy of RFID antenna power for partition identification, and to calculate the confidence level of each transmission power level based on the number of electric energy meters fed back. The optimal transmission power level determination module is used to determine the optimal RFID antenna transmission power level by combining the characteristic values ​​and confidence levels at different transmission power levels.

9. An electronic device, The electronic device comprises: a memory, a processor, and a computer program stored on the memory and executable on the processor, It is characterized by: When the processor executes the computer program, the RFID antenna power control method considering zone identification according to any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium, A computer program is stored thereon, It is characterized by: When the computer program is executed by a processor, the RFID antenna power control method considering zone identification according to any one of claims 1 to 7 is implemented.

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