RFID antenna and intelligent reading and writing, vehicle scheduling and non-inductive payment method thereof

Abstract

The application relates to the technical field of antenna communication, and particularly discloses an RFID antenna and a method for intelligent reading and writing, vehicle scheduling and non-inductive payment, the antenna comprising a first impact-resistant sheet, a second impact-resistant sheet, a vibrator sheet, a circuit layer and a protective layer; the vibrator sheet is provided with a radiation gap; the first impact-resistant sheet is provided with a first gap slot, and the second impact-resistant sheet is provided with a second gap slot larger than the first gap slot; the first gap slot and the second gap slot are connected; the circuit layer is provided with a third gap slot, and the protective layer is provided with a fourth gap slot; the third gap slot and the fourth gap slot are connected to form a communication channel; the second gap slot and the communication channel are both provided with a plastic gap filler. The method uses the RFID antenna. The RFID antenna and the method for intelligent reading and writing, vehicle scheduling and non-inductive payment solve the problem that the plastic gap filler of the current antenna is prone to falling off, thereby affecting the pressure resistance of the antenna.

Description

Technical Field

[0001] This invention relates to the field of antenna communication technology, and more specifically, to an RFID antenna and its intelligent reading and writing, vehicle dispatching and contactless payment methods. Background Technology

[0002] In recent years, with the rapid development of IoT system integration, vehicle monitoring has become a trend. In scenarios such as roadside parking spaces and gas stations, RFID antennas for vehicle monitoring are installed on the road surface. As vehicles pass, they pass over the RFID antennas, thus enabling vehicle monitoring. However, currently popular roadside RFID antennas lack sufficient pressure resistance and cannot withstand the impact of vehicles on the antennas. To address this issue, Chinese utility model patent application number 202422233614.6 discloses a slotted flat panel antenna. This antenna uses a plastic seam filler to protect the internal components. However, to ensure sufficient coverage of the plastic seam filler, a large slot is required. This makes the plastic seam filler prone to detaching from the slot, causing the antenna to lose its protective function and affecting its pressure resistance. Summary of the Invention

[0003] In order to overcome the shortcomings of the existing technology, the present invention provides an RFID antenna and its intelligent reading and writing, vehicle scheduling and contactless payment method, aiming to solve the problems in the above-mentioned existing technology.

[0004] The technical solution adopted by the present invention to solve its technical problem is: an RFID antenna, comprising a first shock-resistant sheet, a second shock-resistant sheet, a vibrator sheet, a circuit layer and a protective layer arranged sequentially from top to bottom; The vibrator plate is provided with radiation slots to form a radiation field; The first impact-resistant sheet has a first slot, and the second impact-resistant sheet has a second slot with an area larger than the first slot; wherein the larger area means that when the second slot and the first slot are on the same horizontal plane, the second slot can surround the first slot; the first slot and the second slot are connected. The circuit layer has a third slot, and the protective layer has a fourth slot; the third slot and the fourth slot are connected to form a connecting channel. The first slot, the second slot, the third slot, and the fourth slot all face the radial slot; Both the second slot and the connecting channel are equipped with plastic seam fillers.

[0005] Preferably, the vibrator further includes a coaxial cable bus, a 1-to-2 impedance, a first coaxial cable branch, and a second coaxial cable branch. One end of the coaxial cable bus is electrically connected to an electronic component in the circuit layer, and the other end of the coaxial cable bus is electrically connected to one end of the first coaxial cable branch and one end of the second coaxial cable branch through the 1-to-2 impedance. The second end of the first coaxial cable branch and the other end of the second coaxial cable branch are both electrically connected to a radiating gap.

[0006] Optionally, the circuit layer is provided with impedance slots and line slots, and the impedance slots are oriented towards the one-to-two impedance so that the one-to-two impedance is set in the impedance slots; The slotted cable accommodates the coaxial cable bus, the first coaxial cable branch, and the second coaxial cable branch, so that the coaxial cable bus, the first coaxial cable branch, and the second coaxial cable branch are all located within the slotted cable.

[0007] Specifically, a method for intelligent reading and writing, vehicle dispatching, and contactless payment, using the aforementioned RFID antenna, includes the following steps: S1: When a vehicle enters the electromagnetic field area formed by the RFID antenna, the cloud server obtains the vehicle position sequence through the sensor network and predicts the vehicle speed based on the vehicle position sequence to obtain the estimated vehicle speed. S2: The cloud server obtains the receiving power of the RFID antenna during this communication with the RFID tag inside the vehicle, based on the estimated vehicle speed. S3: The RFID antenna obtains response feedback through the received power; after determining that the signal wake-up is successful based on the response feedback, it obtains the vehicle identity information and sends it to the cloud server; S4: The cloud server retrieves a list of available parking spaces from a pre-set central database, and uses data integration technology to combine the availability of parking spaces in the list with the current location of the vehicle to determine the vehicle's target parking space. S5: When a vehicle leaves the site, the cloud server retrieves the corresponding payment-related data from a preset central database using SQL queries based on the vehicle's identity information; it then uses data encryption technology to securely process the payment-related data and interacts with the bank's system interface to obtain the payment settlement result and update the system log.

[0008] It is worth noting that in step S1, when the vehicle enters the electromagnetic field area formed by the RFID antenna, the vehicle's RFID tag and sensor network are activated, and the sensor network obtains the vehicle's location sequence and sends it to the cloud server. The cloud server extracts timestamps and coordinate data for the vehicle location sequence, uses linear regression to fit the relationship between location and time, and determines the estimated vehicle speed. The linear regression uses the least squares method to calculate the slope as the speed value.

[0009] Preferably, in step S2, the estimated vehicle speed is input into a preset lookup table in the cloud server, and the initial communication distance value of the RFID antenna is determined according to the interval in which the estimated vehicle speed is located. Input the initial communication distance value into the Friis transmission formula to calculate the tag response strength value. The formula is as follows: ,in For received power, For the preset transmission power, For the transmit antenna gain, For receiving antenna gain, For wavelength, This is the initial communication distance value.

[0010] Optionally, in step S3, the received power is used to obtain response feedback from the vehicle's RFID tag; The feature vector is extracted from the response feedback, input into the Naive Bayes classifier to calculate the posterior probability, and the category with the highest posterior probability is taken as the signal strength category. If the signal strength category is successful, the temporary vehicle identifier is extracted from the response feedback under the successful category; otherwise, the wake-up command is resent to the vehicle's RFID tag and the response feedback is obtained from the vehicle's RFID tag, and then the signal strength category is determined. By using the vehicle's temporary identifier, the associated encrypted data is obtained. The encrypted data is then processed using the AES decryption algorithm to obtain the vehicle's identity information, which is then sent to the cloud server.

[0011] Specifically, in step S4, coordinate data is obtained from the vehicle's current position, wherein the vehicle's current position is obtained through a sensor network; For each parking space in the list of available parking spaces, obtain target coordinate data; calculate the Euclidean distance between the coordinate data and the target coordinate data as the location distance; obtain a list of all location distances; and determine the parking space with the smallest path distance from the list of results as the target parking space. The system guides vehicles to a parking space by displaying the target parking space on a screen at a roadside parking lot or gas station; once the vehicle enters the parking space, the vehicle's identity information is linked to the parking space or the corresponding gas pump.

[0012] Preferably, in step S4, if the parking space vacancy list is empty, the timestamp of the first response feedback of the RFID tag obtained by the RFID antenna is obtained. Arrange the vehicles in ascending order of their timestamps to obtain the vehicle entry sequence; Based on the vehicle entry sequence, the vehicle with the highest priority is extracted from the first position of the sequence and used as the vehicle to be processed in the target parking space allocation process.

[0013] Optionally, in step S5, an encryption key is obtained from a preset key, and an AES tool is applied to the payment-related data to obtain encrypted payment data, which includes fees and user account details; By interacting with the bank system interface through encrypted payment data, the encrypted payment data is transmitted to the bank system, and then the settlement response returned by the bank system is received, and the fee settlement result is obtained from the settlement response; To determine the completeness of the fee settlement result, the SHA-256 tool is used to verify the consistency of the transaction identifier and amount in the fee settlement result. If they are consistent, a vehicle departure confirmation notification is generated. Update the log database based on the vehicle departure confirmation notification, record the payment status in the vehicle departure confirmation notification to the log database, and obtain the payment completion record.

[0014] The beneficial effect of the present invention is that: in the RFID antenna, the area of ​​the second slot is relatively larger than the area of ​​the first slot, thereby preventing the plastic filler in the second slot from falling off, so as to better protect the plastic filler and thus avoid the antenna's compressive strength failure. Attached Figure Description

[0015] Figure 1 This is an exploded view of an RFID antenna.

[0016] Figure 2 This is a top view of the first impact-resistant plate.

[0017] Figure 3 This is a top view of the second impact-resistant sheet.

[0018] Figure 4 This is a top view of the oscillator plate.

[0019] Figure 5 This is a top view of the circuit layer.

[0020] Figure 6 This is a top view of the protective layer.

[0021] Figure 7 A top view of the plastic seam filler.

[0022] Figure 8 A flowchart illustrating methods for intelligent reading and writing, vehicle dispatching, and contactless payment.

[0023] Figure 9 This is a graph showing the relationship between vehicle speed prediction based on the least squares method. Detailed Implementation

[0024] The specific embodiments of the present invention will be further described below with reference to the accompanying drawings. It should be noted that these descriptions are for the purpose of aiding understanding the present invention, but do not constitute a limitation thereof. Furthermore, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0025] Combination Figures 1 to 9 The RFID antenna shown includes, from top to bottom, a first shock-resistant sheet 1A, a second shock-resistant sheet 1B, a vibrator sheet 2, a circuit layer 3, and a protective layer 4. The vibrator plate 2 is provided with a radiation slot 21 to form a radiation field; in this embodiment, the radiation slot 21 plays the role of a gradually opening impedance, and the signal forms a radiation field from the bulge position of the radiation slot 21. By setting two radiation slots 21 in the vibrator plate 2, an array antenna composed of two arrays is formed. The first impact-resistant plate 1A has a first slot 11, and the second impact-resistant plate 1B has a second slot 12 with an area larger than the first slot 11; wherein the larger area means that when the second slot 12 and the first slot 11 are on the same horizontal plane, the second slot 12 can surround the first slot 11; the first slot 11 and the second slot 12 are connected. The circuit layer 3 has a third slot 31, and the protective layer 4 has a fourth slot 41; the third slot 31 and the fourth slot 41 are connected to form a connecting channel. The first slot 11, the second slot 12, the third slot 31 and the fourth slot 41 are all oriented toward the radial slot 21; Both the second slit slot 12 and the connecting channel are provided with plastic slit fillers 5.

[0026] like Figure 1-7As shown, in the RFID antenna, by setting a first impact-resistant sheet 1A and a second impact-resistant sheet 1B on the upper side of the vibrator piece 2, and setting a protective layer 4 on the lower side of the vibrator piece 2, and then cooperating with the plastic seam filler 5 aligned with the radiation gap 21, the pressure-bearing capacity is improved, thereby achieving the purpose of withstanding the impact force of road vehicles on the antenna. The plastic seam filler 5 serves to protect the radiation gap 21. The area of ​​the second gap slot 12 is relatively larger than the area of ​​the first gap slot 11, thereby preventing the plastic seam filler 5 located in the second gap slot 12 from falling off, thus better protecting the plastic seam filler 5 and avoiding the antenna's pressure resistance failure. In the oscillator 2, the impedance of the radiating slot 21 is 50 ohms. A slightly larger second slot 12 is provided on the upper side of the radiating slot 21, and a plastic slot filler 5 is provided in the second slot 12 to increase the protection area. The plastic slot filler 5 protects the radiating slot 21 from being crushed and ensures that the plastic slot filler 5 of the second slot 12 can completely cover the upper side of the radiating slot 21. However, this second slot 12 will cause an increase in impedance. In order to ensure that the final output impedance is kept at about 50 ohms so that the transmitted signal is accurate, a first slot 11 with a smaller area than the second slot 12 is provided on the upper side of the second slot 12. After the radiating slot 21 is placed in the first slot 11, its impedance is kept at 50 ohms, thereby ensuring the accuracy of signal transmission. The area ratio of the second slot 12 to the first slot 11 is 0.5 to reduce the impedance back to 50 ohms.

[0027] Preferred, such as Figure 4 As shown, the vibrator 2 also includes a coaxial cable bus 22, a 1-to-2 impedance converter 23, a first coaxial cable branch line 24, and a second coaxial cable branch line 25. One end of the coaxial cable bus 22 is electrically connected to the electronic components in the circuit layer 3. The other end of the coaxial cable bus 22 is electrically connected to one end of the first coaxial cable branch line 24 and one end of the second coaxial cable branch line 25 via the 1-to-2 impedance converter 23. The other end of the first coaxial cable branch line 24 and the second end of the second coaxial cable branch line 25 are both electrically connected to radiation gaps 21. The circuit layer 3 forms a monitoring circuit using multiple electronic components. The monitoring circuit is existing technology and will not be described in detail here. The signal is transmitted from the coaxial cable bus 22 to the 1-to-2 impedance converter 23 for matching, and then from the first coaxial cable branch line 24 and the second coaxial cable branch line 25 to the corresponding radiation gaps 21.

[0028] Specifically, such as Figure 5As shown, the circuit layer 3 is provided with an impedance slot 32 and a line slot 33. The impedance slot 32 faces the one-to-two impedance 23 so that the one-to-two impedance 23 is set in the impedance slot 32. By setting the impedance slot 32, the circuit layer 3 can wrap the one-to-two impedance 23, thereby protecting the one-to-two impedance 23. The line slot 33 accommodates the coaxial cable bus 22, the first coaxial cable branch 24, and the second coaxial cable branch 25, so that the coaxial cable bus 22, the first coaxial cable branch 24, and the second coaxial cable branch 25 are all disposed within the line slot 33. In this embodiment, the line slot 33 is connected to the impedance slot 32, thereby facilitating the coaxial cable bus 22, the first coaxial cable branch 24, and the second coaxial cable branch 25 to be led out from the one-to-two impedance 23 and disposed within the line slot 33. By setting the line slot 33, the coaxial cable bus 22, the first coaxial cable branch 24, and the second coaxial cable branch 25 can be enclosed by the line slot 33, thereby achieving the purpose of protecting the coaxial cable bus 22, the first coaxial cable branch 24, and the second coaxial cable branch 25.

[0029] Specifically, the impact-resistant sheet 1, circuit layer 3, and protective layer 4 are all made of stainless steel. The stainless steel material of the impact-resistant sheet 1, circuit layer 3, and protective layer 4 improves pressure resistance. Preferably, the plastic seam filler 5 is a cushioning pressure-bearing adhesive.

[0030] Currently, vehicle dispatching and payment processes in roadside parking spaces and gas stations often fail to effectively handle the complex demands of dynamic environments. Especially when vehicles are moving rapidly, system identification of vehicles and real-time command transmission frequently experience delays or errors, leading to dispatching chaos and even congestion. These problems are not simply technical shortcomings, but rather stem from a lack of precise control over the real-time interaction between vehicles and the system. Ensuring timely signal activation and accurate transmission is particularly crucial when vehicles pass through specific areas at a certain speed. Due to unstable communication, the system may be unable to quickly obtain vehicle identification information, affecting subsequent dispatch command generation. Furthermore, this communication instability can directly disrupt the smooth operation of the payment process. Therefore, as... Figure 8 As shown, in order to overcome this deficiency in the existing technology, this solution also discloses a method for intelligent reading and writing, vehicle dispatching, and contactless payment, using the aforementioned RFID antenna, including the following steps: S1: When a vehicle enters the electromagnetic field area formed by the RFID antenna, the cloud server obtains the vehicle position sequence through the sensor network and predicts the vehicle speed based on the vehicle position sequence to obtain the estimated vehicle speed. S2: The cloud server obtains the receiving power of the RFID antenna during this communication with the RFID tag inside the vehicle, based on the estimated vehicle speed. S3: The RFID antenna obtains response feedback through the received power; after determining that the signal wake-up is successful based on the response feedback, it obtains the vehicle identity information and sends it to the cloud server; thereby realizing intelligent reading and writing. S4: The cloud server retrieves a list of available parking spaces from a pre-set central database, and uses data integration technology to combine the availability of parking spaces in the list with the current location of the vehicle to determine the vehicle's target parking space; thereby realizing vehicle dispatching. S5: When a vehicle leaves the parking lot, the cloud server retrieves the corresponding payment-related data from a preset central database using SQL queries based on the vehicle's identity information; it then uses data encryption technology to securely process the payment-related data and interacts with the bank's system interface to obtain the payment settlement result and update the system log, thereby achieving seamless payment.

[0031] In the aforementioned intelligent reading and writing, vehicle scheduling, and contactless payment method, when a vehicle enters the electromagnetic field area of ​​the RFID antenna, the cloud server obtains the vehicle's location sequence and predicts its speed to obtain a speed estimate. This speed estimate is then used to determine the receiving power for communication between the RFID antenna and the vehicle tag, ensuring successful signal wake-up and acquisition of vehicle identity information. Through data integration technology, the parking space availability list is combined with the vehicle's location to determine the target parking space. Upon departure, SQL queries are used to retrieve payment data, and data encryption technology is used to interact with the bank system to complete the payment settlement and update the log. This solution integrates vehicle positioning, speed prediction, and identity recognition, solving a core problem: how to accurately identify vehicle identities in a dynamic environment and automate parking space allocation and payment settlement. By combining RFID technology with cloud data processing, it achieves full-process automation from vehicle identification to parking to payment settlement, significantly optimizing user experience and management efficiency.

[0032] In this embodiment, since the RFID antenna is set on the ground, vehicles will inevitably pass by the location where the RFID antenna is set. Therefore, the RFID antenna structure using this solution can improve its pressure resistance to withstand the impact force of vehicles on the road.

[0033] It is worth noting that in step S1, when the vehicle enters the electromagnetic field area formed by the RFID antenna, the vehicle's RFID tag and sensor network are activated, and the sensor network obtains the vehicle's location sequence and sends it to the cloud server. The cloud server extracts timestamps and coordinate data for the vehicle location sequence, uses linear regression to fit the relationship between location and time, and determines the estimated vehicle speed. The linear regression uses the least squares method to calculate the slope as the speed value.

[0034] In one possible implementation, when a vehicle enters the electromagnetic field area formed by RFID antennas deployed on the road surface or at the gas station entrance, the electromagnetic field triggers the activation of the RFID tag on the vehicle. Based on the activation result, a sensor network located beside the road or inside the gas station is then activated. This sensor network may include network nodes with GPS modules. Once activated, the sensor network continuously collects the vehicle's location data via the GPS module, forming a location sequence containing multiple time points, such as coordinates (x1, y1) at time t1 and (x2, y2) at time t2. This sequence is then uploaded to a cloud server in real time to ensure timely data transmission and avoid delays.

[0035] In one possible implementation, after receiving the location sequence, the cloud server first extracts the timestamp and coordinate data for each data point. For example, it parses the timestamp array T=[t1,t2,...tn] and the coordinate array X=[x1,x2,....xn] from the sequence. Assuming that the vehicle's movement is mainly along the x-axis, the focus is on the relationship between the x-coordinate and time to simplify the calculation process. For example, for the extracted data, the cloud server uses a linear regression method to fit the relationship between position and time, where linear regression assumes that the relationship between position x and time t satisfies x=v In the form t+b, v is the velocity and b is the intercept, such as Figure 9 As shown, this fitting method can capture the uniform motion trend of the vehicle, thus providing a basis for speed estimation. Specifically, during the fitting process, the cloud server collects multiple position-time pairs. For example, assuming there are 5 data points: (t1=0s, x1=0m), (t2=1s, x2=10m), (t3=2s, x3=19m), (t4=3s, x4=31m), (t5=4s, x5=39m), then calculates the average of these points to prepare for least squares. To apply this method, first calculate the average time t_avg = (0 + 1 + 2 + 3 + 4) / 5 = 2 seconds, and the average position x_avg = (0 + 10 + 19 + 31 + 39) / 5 = 19.8 meters. Next, calculate the deviation for each data point. For example, for the first data point, the time deviation is -2 seconds and the position deviation is -19.8 meters. Then, calculate the sum of the products of these deviations and the sum of the squares of the time deviations. Through these steps, gradually construct the slope formula, where the slope v = (sum((tn - t_avg)) / (t_avg)). (xn-x_avg))) / sum((tn-t_avg)^2), where sum((tn-t_avg) (xn-x_avg) is the product of deviations, and sum((tn-t_avg)^2) is the square of the time deviation. If the product of deviations is approximately 99.3 and the square of the time deviation is 10, then the slope v = 99.3 / 10 = 9.93 m / s. The slope obtained by the least squares method is used as the estimated value of the vehicle speed, thereby achieving an accurate estimation of the vehicle speed. This method can effectively smooth out errors and improve the reliability of the estimation when data noise exists.

[0036] Preferably, in step S2, the estimated vehicle speed is input into a preset lookup table in the cloud server, and the initial communication distance value of the RFID antenna is determined according to the interval in which the estimated vehicle speed is located. Input the initial communication distance value into the Friis transmission formula to calculate the tag response strength value. The formula is as follows: ,in For received power, For the preset transmission power, For the transmit antenna gain, For receiving antenna gain, For wavelength, This is the initial communication distance value.

[0037] Because vehicle speeds vary, the position of a vehicle after entering the electromagnetic field area formed by the RFID antenna will differ after a predetermined time, meaning the communication distance with the RFID antenna will also differ. Therefore, an initial communication distance value is used to represent this communication distance. This predetermined time includes the time for acquiring the vehicle position sequence and the time for the cloud server to process the vehicle position sequence, and this predetermined time is preset by maintenance personnel. In one possible implementation, after receiving the estimated vehicle speed, the cloud server determines the initial communication distance value of the RFID antenna using a pre-set lookup table to adapt to communication requirements at different speeds. The pre-set lookup table is a correspondence table built based on empirical data, in which vehicle speed is divided into multiple intervals, each interval corresponding to an initial communication distance value, to ensure reliable reading of RFID tags. In this way, the system can dynamically adjust the distance parameters to avoid communication failures at high speeds.

[0038] In one possible implementation, after obtaining the initial communication distance value, it is input into the Friis transmission formula to calculate the tag response strength value. This formula describes the transmission characteristics of wireless signals in free space, where the received power... By transmission power Transmit antenna gain Receiver antenna gain ,wavelength and distance The combined calculations yielded the results, for example, in highway applications, assuming The preset value is 20dBm. and Both are 6dBi. Corresponding to the commonly used RFID frequency of 0.33m, when When the length is 8m, the formula calculates... The value is used to evaluate the tag's responsiveness. This calculation process first involves a path loss model for signal propagation, where path loss increases with distance. The formula... This inverse square relationship is partially reflected, helping the system predict whether a tag will respond effectively at a given distance, thus avoiding signal weakening issues in actual deployment. Through the above process, the cloud server optimizes RFID communication, thereby improving the accuracy of vehicle identification.

[0039] Optionally, in step S3, the received power is used to obtain response feedback from the vehicle's RFID tag; The feature vector is extracted from the response feedback, input into the Naive Bayes classifier of scikit-learn to calculate the posterior probability, and the class with the highest posterior probability is taken as the signal strength class. If the signal strength category is successful, the temporary vehicle identifier is extracted from the response feedback under the successful category; otherwise, the wake-up command is resent to the vehicle's RFID tag and the response feedback is obtained from the vehicle's RFID tag, and then the signal strength category is determined. By using the vehicle's temporary identifier, the associated encrypted data is obtained. The encrypted data is then processed using the AES decryption algorithm to obtain the vehicle's identity information, which is then sent to the cloud server.

[0040] After the RFID antenna sends a wake-up command to the vehicle's RFID tag using a preset transmission power, the tag is activated to respond to communication. The RFID antenna then uses the same receiving power to obtain response feedback from the vehicle's RFID tag. This process involves the transmission and reception mechanisms of wireless signals, where the response feedback typically includes the tag's echo signal strength and a temporary vehicle identifier.

[0041] Specifically, the system captures these signals through an antenna receiver and performs preliminary filtering to remove noise interference. For example, when a vehicle passes by at a moderate speed, the antenna sends a wake-up pulse, and the signal fed back by the tag after the response is converted into digital form. Then, a feature vector is extracted. This feature vector may include dimensions such as the peak amplitude, duration, and frequency offset of the echo signal intensity sequence. These dimensions are quantified using statistical methods to support subsequent classification. For example, the peak amplitude dimension can be calculated by averaging to represent the overall strength of the signal, thus providing reliable input for the classifier. This extraction process ensures the robustness of the feature vector.

[0042] In one possible implementation, the feature vector extracted from the response feedback is input into a Naive Bayes classifier in scikit-learn to calculate the posterior probability. This classifier assumes independence between features based on Bayes' theorem and learns prior and conditional probability distributions through a training dataset. For example, it is first trained on historical response data to obtain probability models for different signal strength categories. Then, the formula is applied to the new feature vector to calculate the posterior probability of each category, and the category with the largest posterior probability is selected as the signal strength category, such as success or failure. In another possible implementation, if the signal strength category is success, a temporary vehicle identifier is extracted from the response feedback; otherwise, the wake-up command is resent and feedback is obtained to determine the category. If the number of resentments exceeds a preset threshold, a failure to obtain response feedback is reported to the cloud server, and the vehicle owner is notified.

[0043] The encrypted data associated with the vehicle's temporary identification tag is obtained and processed using the AES decryption algorithm to extract the vehicle's identity information. This algorithm uses a symmetric key for block encryption, for example, performing multiple rounds of substitution and permutation operations on the data block with a 128-bit key to ensure that information such as the vehicle's license plate number is obtained after decryption and then sent to the cloud server. Through this method, reliable vehicle identification is achieved.

[0044] Specifically, in step S4, coordinate data is obtained from the vehicle's current position, wherein the vehicle's current position is obtained through a sensor network; For each parking space in the list of available parking spaces, obtain target coordinate data; calculate the Euclidean distance between the coordinate data and the target coordinate data as the location distance; obtain a list of all location distances; and determine the parking space with the smallest path distance from the list of results as the target parking space. The system guides vehicles to a parking space by displaying the target parking space on a screen at a roadside parking lot or gas station; once the vehicle enters the parking space, the vehicle's identity information is linked to the parking space or the corresponding gas pump.

[0045] In one possible implementation, the coordinates of the vehicle's current location are obtained through a sensor network deployed along the roadside or at a gas station.

[0046] In one possible implementation, the list of available parking spaces is stored in a central management system. For each available parking space in the list, the system extracts its preset target coordinate data from the database. This data is typically represented in two-dimensional plane coordinates, such as (x, y) points, where the x-axis corresponds to the horizontal coordinate of the site and the y-axis corresponds to the vertical coordinate. For example, in scenarios like roadside parking spaces or gas stations, the list of available spaces may contain multiple entries. The system retrieves the coordinates of each available space one by one through a query interface, ensuring coverage of all available locations. This retrieval process involves a data synchronization mechanism to avoid errors caused by real-time changes in occupancy. For instance, when a vehicle enters a previously available parking space, the information for that space is removed from the list of available parking spaces. Conversely, if a vehicle leaves a previously occupied parking space, the information for that space is added back to the list of available parking spaces. It should be noted that the target coordinate data originates from the initial site survey, typically using a laser scanner to establish a coordinate system, thus giving each available space a unique and fixed identifier, supporting efficient retrieval.

[0047] In one possible implementation, when calculating the Euclidean distance between the coordinate data and the target coordinate data, the system applies the standard geometric formula, which states that the distance is equal to the square root of the length of the straight line between the two points. For example, assuming the coordinate data representing the vehicle's position is (x01, y01) and the target coordinate data representing the empty parking space is (x02, y02), then the distance... In practical applications, to handle large-scale data, the system can calculate the distance of all empty spaces in batches and generate a result list, thereby optimizing response time.

[0048] In one possible implementation, the parking space with the shortest path distance is selected from the result list as the target parking space. For example, the lowest value can be quickly located by sorting algorithm. Then, the number of the parking space is displayed on a pre-set screen in the site to guide the vehicle.

[0049] In one possible implementation, for roadside parking spaces, the vehicle's identity information is linked to the parking space after the vehicle enters; for gas stations, after the vehicle enters the target parking space, the staff uses a fuel nozzle to refuel the vehicle, and then links the vehicle's identity information to the corresponding fuel nozzle.

[0050] It is worth noting that in step S4, if the parking space vacancy list is empty, the timestamp of the first response feedback of the RFID antenna to the RFID tag is obtained; in this embodiment, the number of vacant spaces is obtained from the parking space vacancy list, and if the number of vacant spaces is zero, it means that the parking space vacancy list is empty. Arrange the vehicles in ascending order of their timestamps to obtain the vehicle entry sequence; Based on the vehicle entry sequence, the vehicle with the highest priority is extracted from the first position of the sequence and used as the vehicle to be processed in the target parking space allocation process.

[0051] In one possible implementation, the system first extracts the number of available parking spaces from a list of available spaces, which is typically stored in a central database and retrieved in real time via a query interface. If the extracted number of available spaces is zero, it indicates that the parking lot is full. At this point, the system proceeds to obtain the response timestamp of the RFID antenna's first capture of the RFID tag in step S3. The timestamp is recorded as the precise moment of this first interaction to indicate the time of the vehicle's arrival.

[0052] In one possible implementation, Python's `sorted` function is used to sort these timestamps in ascending order, obtaining the vehicle entry sequence. This function uses the TimSort algorithm for efficient sorting; for example, after passing the list of timestamps to the `sorted` function, it sorts them by value from smallest to largest, with the first vehicle being the earliest to enter, thus determining priority. The vehicle entry sequence represents the order in which vehicles that have not yet been assigned a parking space arrive. Then, based on this sequence, the vehicle with the highest priority is extracted from the first position and designated as the object to be processed for target parking space allocation. For example, the first vehicle in the sequence is marked as high priority, and the system allocates a virtual queue position accordingly. This method achieves orderly management when resources are scarce.

[0053] Preferably, in step S5, an encryption key is obtained from a preset key, and an AES tool is applied to the payment-related data to obtain encrypted payment data, which includes fees and user account details; By interacting with the bank system interface through encrypted payment data, the encrypted payment data is transmitted to the bank system, and then the settlement response returned by the bank system is received, and the fee settlement result is obtained from the settlement response; To determine the completeness of the fee settlement result, the SHA-256 tool is used to verify the consistency of the transaction identifier and amount in the fee settlement result. If they are consistent, a vehicle departure confirmation notification is issued. Update the log database based on the vehicle departure confirmation notification, record the payment status in the vehicle departure confirmation notification to the log database, and obtain the payment completion record.

[0054] In one possible implementation, when a vehicle is about to leave, the system first retrieves the corresponding encryption key from a pre-set key library. This key could be a dedicated key for scenarios like paying for parking fees at on-street parking spaces or paying for refueling at gas stations, used to ensure the security of data transmission. Specifically, for on-street parking, the vehicle leaving the space indicates it is ready to leave; for gas stations, refueling completes the process. For example, after obtaining the payment-related data, the system encrypts it using AES encryption.

[0055] Specifically, AES, as a symmetric encryption algorithm, works by using a fixed-length key to perform multiple rounds of substitution and permutation operations on data blocks, thereby converting plaintext into ciphertext. In one embodiment, for payment data including parking fees such as 50 yuan and user account details such as bank card numbers, the system organizes this information into a data packet and then encrypts it using AES-128 mode to obtain encrypted payment data. This encryption method ensures the confidentiality of data during transmission and prevents man-in-the-middle attacks.

[0056] Subsequently, through interaction with the bank's system interface, the system securely transmits encrypted payment data to the bank, for example, by encapsulating data packets using the HTTPS protocol to send the request. Upon receiving the data, the bank system decrypts and processes the settlement, returning a settlement response containing the settlement result and a hash value. The system extracts the settlement result containing the transaction identifier and amount. Next, to determine the integrity of the result, the system uses the SHA-256 tool for verification. Specifically, SHA-256 is a hash function that generates a fixed 256-bit hash value by repeatedly compressing and mixing the input data. In one embodiment, the system calculates the SHA-256 hash value of the combined string of the transaction identifier (e.g., "TX123456") and the amount (e.g., 50 yuan) in the settlement result, and compares it with the hash value provided in the settlement response. If they match, it indicates that the data has not been tampered with, thereby generating a vehicle departure confirmation notification, such as a notification message containing payment success.

[0057] Based on this, the system updates the log database according to the notification, recording the payment status such as "completed" to obtain the payment completion record. This update process ensures atomicity through database transactions, thereby maintaining the system's audit trail. Through these methods, the security and reliability of the payment process are achieved.

[0058] The embodiments of the present invention have been described in detail above with reference to the accompanying drawings, but the present invention is not limited to the described embodiments. For those skilled in the art, various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention, and these variations still fall within the protection scope of the present invention.

Claims

1. A method for intelligent reading and writing of RFID antennas, vehicle dispatching, and contactless payment, characterized in that, The RFID antenna includes, from top to bottom, a first shock-resistant sheet, a second shock-resistant sheet, a vibrator sheet, a circuit layer, and a protective layer. The vibrator plate is provided with radiation slots to form a radiation field; The first impact-resistant sheet has a first slot, and the second impact-resistant sheet has a second slot with an area larger than the first slot; wherein the larger area means that when the second slot and the first slot are on the same horizontal plane, the second slot can surround the first slot; the first slot and the second slot are connected. The circuit layer has a third slot, and the protective layer has a fourth slot; the third slot and the fourth slot are connected to form a connecting channel. The first slot, the second slot, the third slot, and the fourth slot all face the radial slot; Both the second slot and the connecting channel are equipped with plastic seam fillers; The method includes the following steps: S1: When a vehicle enters the electromagnetic field area formed by the RFID antenna, the cloud server obtains the vehicle position sequence through the sensor network and predicts the vehicle speed based on the vehicle position sequence to obtain the estimated vehicle speed. S2: The cloud server obtains the receiving power of the RFID antenna during this communication with the RFID tag inside the vehicle, based on the estimated vehicle speed. S3: The RFID antenna obtains response feedback through the received power; After determining that the signal wake-up was successful based on the response feedback, the vehicle identity information is obtained and sent to the cloud server. S4: The cloud server retrieves a list of available parking spaces from a pre-set central database, and uses data integration technology to combine the availability of parking spaces in the list with the current location of the vehicle to determine the vehicle's target parking space. S5: When a vehicle leaves the site, the cloud server retrieves the corresponding payment-related data from a preset central database using SQL queries based on the vehicle's identity information; it then uses data encryption technology to securely process the payment-related data and interacts with the bank's system interface to obtain the payment settlement result and update the system log.

2. The method for intelligent reading and writing, vehicle dispatching, and contactless payment of RFID antennas according to claim 1, characterized in that: The vibrator also includes a coaxial cable bus, a 1-to-2 impedance, a first coaxial cable branch, and a second coaxial cable branch. One end of the coaxial cable bus is electrically connected to the electronic components in the circuit layer, and the other end of the coaxial cable bus is electrically connected to one end of the first coaxial cable branch and one end of the second coaxial cable branch through the 1-to-2 impedance. The other ends of the first and second coaxial cable branches are both electrically connected to radiation gaps.

3. The method for intelligent reading and writing of RFID antennas, vehicle dispatching, and contactless payment according to claim 2, characterized in that: The circuit layer is provided with impedance slots and line slots, and the impedance slots are oriented toward the one-to-two impedance so that the one-to-two impedance is set in the impedance slots; The slotted cable accommodates the coaxial cable bus, the first coaxial cable branch, and the second coaxial cable branch, so that the coaxial cable bus, the first coaxial cable branch, and the second coaxial cable branch are all located within the slotted cable.

4. The method for intelligent reading and writing of RFID antennas, vehicle dispatching, and contactless payment according to claim 1, characterized in that: In step S1, when the vehicle enters the electromagnetic field area formed by the RFID antenna, the vehicle's RFID tag and sensor network are activated, and the sensor network acquires the vehicle's location sequence and sends it to the cloud server. The cloud server extracts timestamps and coordinate data for the vehicle location sequence, uses linear regression to fit the relationship between location and time, and determines the estimated vehicle speed. The linear regression uses the least squares method to calculate the slope as the speed value.

5. The method for intelligent reading and writing, vehicle dispatching, and contactless payment of an RFID antenna according to claim 1, characterized in that: In step S2, the estimated vehicle speed is input into a preset lookup table in the cloud server, and the initial communication distance value of the RFID antenna is determined according to the interval in which the estimated vehicle speed is located. Input the initial communication distance value into the Friis transmission formula to calculate the tag response strength value. The formula is as follows: ,in For received power, For the preset transmission power, For the transmit antenna gain, For receiving antenna gain, For wavelength, This is the initial communication distance value.

6. The method for intelligent reading and writing of RFID antennas, vehicle dispatching, and contactless payment according to claim 1, characterized in that: In step S3, the received power is used to obtain response feedback from the vehicle's RFID tag; The feature vector is extracted from the response feedback, input into the Naive Bayes classifier to calculate the posterior probability, and the category with the highest posterior probability is taken as the signal strength category. If the signal strength category is successful, the temporary vehicle identifier is extracted from the response feedback under the successful category; otherwise, the wake-up command is resent to the vehicle's RFID tag and the response feedback is obtained from the vehicle's RFID tag, and then the signal strength category is determined. By using the vehicle's temporary identifier, the associated encrypted data is obtained. The encrypted data is then processed using the AES decryption algorithm to obtain the vehicle's identity information, which is then sent to the cloud server.

7. The method for intelligent reading and writing, vehicle dispatching, and contactless payment of an RFID antenna according to claim 1, characterized in that: In step S4, coordinate data is obtained from the vehicle's current position, wherein the vehicle's current position is obtained through a sensor network; Obtain target coordinate data for each parking space in the list of available parking spaces; Calculate the Euclidean distance between the coordinate data and the target coordinate data as the position distance; obtain a list of all position distance results; Select the parking space with the shortest path distance from the results list as the target parking space; The system guides vehicles to a parking space by displaying the target parking space on a screen at a roadside parking lot or gas station. After the vehicle enters the parking space, the vehicle's identity information is linked to the parking space or the corresponding fuel nozzle.

8. The method for intelligent reading and writing, vehicle dispatching, and contactless payment of an RFID antenna according to claim 7, characterized in that: In step S4, if the parking space vacancy list is empty, the timestamp of the first response feedback from the RFID antenna to the RFID tag is obtained. Arrange the vehicles in ascending order of their timestamps to obtain the vehicle entry sequence; Based on the vehicle entry sequence, the vehicle with the highest priority is extracted from the first position of the sequence and used as the vehicle to be processed in the target parking space allocation process.

9. A method for intelligent reading and writing of RFID antennas, vehicle dispatching, and contactless payment according to claim 1, characterized in that: In step S5, an encryption key is obtained from a preset key, and an AES tool is applied to the payment-related data to obtain encrypted payment data, which includes fees and user account details. By interacting with the bank system interface through encrypted payment data, the encrypted payment data is transmitted to the bank system, and then the settlement response returned by the bank system is received, and the fee settlement result is obtained from the settlement response; To determine the completeness of the fee settlement result, the SHA-256 tool is used to verify the consistency of the transaction identifier and amount in the fee settlement result. If they are consistent, a vehicle departure confirmation notification is generated. Update the log database based on the vehicle departure confirmation notification, record the payment status in the vehicle departure confirmation notification to the log database, and obtain the payment completion record.

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