Intelligent sensing payment method and device based on variable cross magnetic field feedback identification

Abstract

The embodiment of the invention discloses an intelligent sensing payment method and device based on variable cross magnetic field feedback identification, and the method comprises the steps: in a transaction request stage, based on the feedback identification of a variable cross magnetic field, a collection device transmits a high-frequency feedback magnetic field through receiving a transaction request transmitted by a payment device, and generates a high-frequency feedback magnetic field signal; and in the transaction matching stage, the payment device receives the high-frequency feedback magnetic field signal and matches the high-frequency feedback magnetic field signal with the payment enable signal, and if the high-frequency feedback magnetic field signal is consistent with the payment enable signal, the payment information of the payment device is displayed. And in the transaction verification stage, a transaction verification mode is preset based on the payment equipment, transaction verification is performed on the payment information, and if the verification is passed, intelligent payment is completed. According to the embodiment of the invention, the feedback recognition of the variable cross magnetic field is realized, so that the portable equipment without a camera can also carry out intelligent payment, and the diversity of intelligent payment at the present stage is improved.

Description

Technical Field

[0001] The present disclosure relates to intelligent payment technology, and in particular to an intelligent payment method and device based on variable cross-magnetic field feedback recognition. Background Art

[0002] Smart payment, as a convenient payment method, has garnered widespread attention in recent years. While traditional QR code scanning payment methods require users to manually display a payment QR code on their devices, Smart Payment uses sensing technology to automatically display a payment QR code upon recognition of a barcode scanner or barcode scanner box. This allows users to complete payments without having to actively operate the device, thus improving the user experience.

[0003] However, existing smart payment technologies mostly rely on the portable device's front-facing camera for image capture and recognition. Specifically, the device uses the front-facing camera to capture images from nearby barcode scanners or boxes, matches them, and pops up a payment code after confirming the scanned information. Additionally, some manufacturers have experimented with integrating sensors with similar functions into wearable devices, such as touchscreens or small displays, to enhance the user payment experience through touch interaction. However, while these technical solutions have achieved promising results, they also have limitations. For one thing, portable devices lacking front-facing cameras, such as smart bracelets and sports watches, cannot implement smart payment functionality, significantly limiting the technology's widespread adoption and application. Furthermore, while sensors have been incorporated into some devices, they still face challenges in terms of cost, power consumption, and technical stability. Especially given the size and battery life constraints of portable devices, balancing functionality with portability presents a major challenge.

[0004] Therefore, one or more methods are needed to solve the above problems.

[0005] It should be noted that the information disclosed in the above background technology section is only used to enhance the understanding of the background of the present disclosure, and therefore may include information that does not constitute prior art known to ordinary technicians in the field. Summary of the Invention

[0006] The purpose of the present disclosure is to provide an intelligent payment method, device, equipment and medium based on variable cross magnetic field feedback recognition, thereby overcoming one or more problems caused by the limitations and defects of related technologies to at least a certain extent.

[0007] According to one aspect of the present disclosure, a smart payment method based on variable cross magnetic field feedback recognition is provided, comprising:

[0008] During the transaction request phase, based on feedback recognition of the variable cross magnetic field, the payment device transmits a high-frequency feedback magnetic field by receiving the transaction request from the payment device, generating a high-frequency feedback magnetic field signal.

[0009] During the transaction matching phase, the payment device receives the high-frequency feedback magnetic field signal and matches it with the payment enable signal. If a match is found, the payment information of the payment device is displayed.

[0010] During the transaction verification phase, based on the preset transaction verification method of the payment device, the payment information is verified. If the verification is successful, the smart payment is completed.

[0011] In an exemplary embodiment of the present disclosure, the transaction request phase includes:

[0012] The payment device generates a low-frequency oscillating magnetic field signal by periodically emitting a low-frequency oscillating magnetic field in the environment;

[0013] When the payment device receives the low-frequency oscillating magnetic field signal, it enters a transaction-enabled state;

[0014] Based on the transaction enablement state, the payment device sends a transaction request to the payment receiving device and generates a transaction request feedback signal;

[0015] Based on feedback recognition of the variable cross magnetic field, when the payment device receives the transaction request feedback signal, it emits a high-frequency feedback magnetic field in the environment to generate a high-frequency feedback magnetic field signal.

[0016] In an exemplary embodiment of the present disclosure, a payment device periodically emits a low-frequency oscillating magnetic field in an environment, including:

[0017] By constructing the normalization function of the variable cross magnetic field, a low-frequency oscillation magnetic field function f1(t)=A1sin(ω low t+φ);

[0018] Among them, ω low is the initial low-frequency angular frequency, A1 is the amplitude, φ is the initial phase angle, and t is the time variable;

[0019] Based on the low-frequency oscillation magnetic field function, a low-frequency oscillation magnetic field is generated by constructing and transmitting a variable cross magnetic field.

[0020] In an exemplary embodiment of the present disclosure, emitting a high-frequency feedback magnetic field in an environment includes:

[0021] By constructing the high-frequency feedback function of the variable cross magnetic field, a high-frequency feedback magnetic field function f2(t)=A2sin(ω high t+φ);

[0022] Among them, ω high is the target high-frequency angular frequency, A2 is the amplitude, φ is the initial phase angle, and t is the time variable;

[0023] Based on the high-frequency feedback magnetic field function, a high-frequency feedback magnetic field is generated by constructing and transmitting a variable cross magnetic field.

[0024] In an exemplary embodiment of the present disclosure, the transaction matching stage includes:

[0025] The payment device generates a sampling sample by increasing the scanning frequency to the same frequency as the high-frequency feedback magnetic field and continuously receiving and sampling the high-frequency feedback magnetic field signal a preset number of times;

[0026] If the sample conforms to the preset security protocol of the payment device, it is matched with the payment enable signal;

[0027] If the sample does not comply with the preset security protocol of the payment device, a warning is issued.

[0028] In an exemplary embodiment of the present disclosure, the transaction matching stage includes:

[0029] In the matching of the sampling sample and the payment enable signal, the disturbance of the environmental magnetic field is continuously detected. If the disturbance value of the environmental magnetic field is detected to be less than a preset disturbance value, a payment confirmation instruction is sent and payment information is displayed;

[0030] If the disturbance value of the environmental magnetic field is detected to be not less than a preset disturbance value, a payment termination instruction is sent;

[0031] In matching the sampling sample with the payment enable signal, by continuously comparing the timestamp of the payment device with the timestamp validity window of the payment device, if the timestamp of the payment device is within the timestamp validity window of the payment device, sending a payment confirmation instruction and displaying the payment information;

[0032] If the timestamp of the payment device is outside the valid window of the timestamp of the payment device, a payment termination instruction is sent.

[0033] In an exemplary embodiment of the present disclosure, the transaction verification phase includes:

[0034] By constructing an oscillation function that returns the variable cross magnetic field to a low frequency, a regression oscillation magnetic field function is generated.

[0035] Among them, ω low is the initial low-frequency angular frequency, ω highis the target high-frequency angular frequency, k is the transition rate parameter, t0 is the transition center time, t is the time variable, e is the mathematical constant, A3 is the amplitude, and φ is the initial phase angle;

[0036] Based on the verification of the payment information by the payment device, if the verification is successful, the payment collection device emits a regressive oscillating magnetic field based on the regressive oscillating magnetic field function into the ambient magnetic field, and periodically emits a low-frequency oscillating magnetic field in the environment after the transition center time ends;

[0037] After receiving the signal from the regressive oscillating magnetic field, the payment device ends the payment transaction state and completes the payment;

[0038] Based on the verification of the payment information by the payment device, if the verification fails, the transaction enabling state is exited and the transaction request is resent.

[0039] In one aspect of the present disclosure, there is provided an intelligent payment device based on variable cross magnetic field feedback recognition, comprising:

[0040] The transaction request module is used to generate a high-frequency feedback magnetic field signal by transmitting a high-frequency feedback magnetic field based on feedback recognition of the variable cross magnetic field and receiving a transaction request from the payment device;

[0041] a transaction matching module, configured to enable the payment device to receive the high-frequency feedback magnetic field signal and match it with the payment enable signal, and if a match is found, display the payment information of the payment device;

[0042] The transaction verification module is used to perform transaction verification on the payment information according to the transaction verification method preset by the payment device. If the verification is successful, the smart payment is completed.

[0043] In one aspect of the present disclosure, there is provided an electronic device, comprising:

[0044] processor; and

[0045] A memory having computer-readable instructions stored thereon, wherein the computer-readable instructions, when executed by the processor, implement the method according to any one of the above items.

[0046] In one aspect of the present disclosure, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the method according to any one of the above items is implemented.

[0047] Based on the embodiment of the present disclosure, in the transaction request stage, according to the feedback recognition of the variable cross magnetic field, the payment device transmits a high-frequency feedback magnetic field by receiving the transaction request sent by the payment device, and generates a high-frequency feedback magnetic field signal. In the transaction matching stage, the payment device receives the high-frequency feedback magnetic field signal and matches it with the payment enable signal. If the match is consistent, the payment information of the payment device is displayed. In the transaction verification stage, based on the transaction verification method preset by the payment device, the transaction information is verified. If the verification is passed, the intelligent payment is completed. Therefore, the embodiment of the present disclosure provides an intelligent payment transaction process based on the feedback recognition of the variable cross magnetic field, and the transaction request, matching and verification are performed through the high-frequency feedback magnetic field signal. Feedback recognition of the variable cross magnetic field is realized to ensure that portable devices without cameras can also perform intelligent payment, which improves the diversity of intelligent payment at this stage. It should be understood that the above general description and the detailed description below are only exemplary and explanatory, and cannot limit the present disclosure.

[0048] The technical solution of the present disclosure is further described in detail below through the accompanying drawings and examples. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate embodiments of the present disclosure and, together with the description, serve to explain the principles of the present disclosure.

[0050] The present disclosure can be more clearly understood from the following detailed description with reference to the accompanying drawings, in which:

[0051] Figure 1 This is a flow chart of an intelligent payment method based on variable cross magnetic field feedback recognition according to an embodiment of the disclosed method;

[0052] Figure 2 This is a decision logic flow chart of an intelligent payment method based on variable cross magnetic field feedback recognition according to an embodiment of the disclosed method;

[0053] Figure 3 This is a structural block diagram of an intelligent payment device based on variable cross magnetic field feedback recognition according to an embodiment of the disclosed method;

[0054] Figure 4 A block diagram of an electronic device according to an embodiment of the disclosed method. DETAILED DESCRIPTION

[0055] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be embodied in many forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete and will fully convey the concepts of the example embodiments to those skilled in the art. Like reference numerals in the drawings represent like or similar parts, and thus repetitive description thereof will be omitted.

[0056] In addition, the described features, structures or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, many specific details are provided to provide a full understanding of the embodiments of the present disclosure. However, those skilled in the art will appreciate that the technical solutions of the present disclosure can be practiced without one or more of the specific details, or other methods, components, materials, devices, steps, etc. can be adopted. In other cases, well-known structures, methods, devices, implementations, materials or operations are not shown or described in detail to avoid obscuring various aspects of the present disclosure.

[0057] The blocks shown in the accompanying drawings are merely functional entities and do not necessarily correspond to physically separate entities. Specifically, these functional entities may be implemented in software, or in one or more software-hardened modules, or in different networks and / or processor devices and / or microcontroller devices.

[0058] In the embodiment of the present disclosure, a smart payment method based on variable cross magnetic field feedback recognition is first provided; Figure 1 As shown in , the intelligent payment method based on variable cross magnetic field feedback recognition may include the following steps:

[0059] Step S110, transaction request phase: based on feedback recognition of the variable cross magnetic field, the payment device transmits a high-frequency feedback magnetic field by receiving the transaction request from the payment device, thereby generating a high-frequency feedback magnetic field signal;

[0060] Step S120, transaction matching stage, the payment device receives the high-frequency feedback magnetic field signal and matches it with the payment enable signal. If a match is found, the payment information of the payment device is displayed.

[0061] Step S130, the transaction verification phase, performs transaction verification on the payment information based on the preset transaction verification method of the payment device. If the verification is successful, the smart payment is completed.

[0062] Below, as Figure 2 As shown, an intelligent payment method based on variable cross magnetic field feedback recognition in an embodiment of the present disclosure will be further explained.

[0063] In step S110 , based on feedback recognition of the variable cross magnetic field, the payment device transmits a high-frequency feedback magnetic field by receiving a transaction request from the payment device to generate a high-frequency feedback magnetic field signal.

[0064] In some alternative embodiments of this example, the payment device periodically emits a low-frequency oscillating magnetic field into its surroundings. When a payment device enters this magnetic field and receives the low-frequency oscillating magnetic field signal, it enters a transaction-enabled state. Subsequently, the payment device's built-in software, based on this transaction-enabled state, sends a transaction request to the payment device, generating a transaction request feedback signal.

[0065] When the payment device receives the transaction request feedback signal and verifies that the payment device ID is legitimate, it changes the frequency of the transmitted cross-magnetic field, emits a high-frequency feedback magnetic field to the surrounding environment, and generates a high-frequency feedback magnetic field signal.

[0066] In some optional embodiments of this example, normalization generally means that the magnetic field state is stable, and the amplitude is constant or changes very slowly. Therefore, by constructing a normalization function of the variable cross magnetic field, a fixed frequency sine wave is selected as the low-frequency oscillation magnetic field function f1(t)=A1 sin(ω low t+φ).

[0067] Among them, ω low is the initial low-frequency angular frequency, which is used to determine the rate of the normalized oscillating magnetic field (the relationship between the initial low-frequency angular frequency and the oscillation frequency x1 of the low-frequency oscillating magnetic field is, ω low =2πx1), A is the amplitude, which is used to determine the peak value of the magnetic field strength, φ is the initial phase angle, which is used to adjust the starting position of the waveform, and t is the time variable.

[0068] Then, according to the low-frequency oscillating magnetic field function, a variable cross magnetic field is constructed to generate a low-frequency oscillating magnetic field, which is periodically emitted to the surrounding environment.

[0069] In some optional embodiments of this example, a high-frequency oscillating magnetic field is selected as the identification magnetic field during the transaction. The magnetic field needs to meet the speed of the magnetic field switching process and the stability after switching. Therefore, when constructing the high-frequency feedback function of the variable cross magnetic field, a fixed-frequency sine wave is selected to ensure stability. At the same time, when only the angular frequency is changed, the magnetic field switching process can be simple and fast, and the high-frequency feedback magnetic field function f2(t)=A2 sin(ω high t+φ);

[0070] Among them, ω high is the target high-frequency angular frequency, which is used to determine the rate of the normalized oscillating magnetic field (the relationship between the target high-frequency angular frequency and the oscillation frequency x2 of the high-frequency oscillating magnetic field is, ω high=2πx2), A is the amplitude, which is used to determine the peak value of the magnetic field strength, φ is the initial phase angle, which is used to adjust the starting position of the waveform, and t is the time variable.

[0071] When the payment device receives a low-frequency oscillating magnetic field signal, it will transmit a transaction request feedback signal to the surrounding environment. The signal contains information such as the payment device ID and the transaction magnetic field frequency.

[0072] When the payment device receives the transaction request feedback signal and verifies that the payment device ID is legitimate, it changes the frequency of the transmitted cross-magnetic field according to the high-frequency feedback magnetic field function to generate a high-frequency feedback magnetic field and transmits it to the surrounding environment.

[0073] In a specific example, taking a supermarket cash register gate and a smart payment device as examples, the gate is initialized: the low-frequency magnetic field oscillation frequency x1 is set to 125kHz, the magnetic field amplitude A1 at low frequency is 10μT, the magnetic field amplitude A2 at high frequency is 8μT, and the initial phase angle φ is set to 0.

[0074] Under normal circumstances, supermarket cash register gates periodically emit low-frequency oscillating magnetic fields to the surrounding environment (usually within a range of 1 meter). The function of this low-frequency oscillating magnetic field is: f1(t) = 10sin(2π×125kHz×t)

[0075] When a customer brings a smart payment device close to a supermarket cash register and receives a low-frequency oscillating magnetic field signal from the surrounding environment, the transaction is enabled. This can also be set to when the smart payment device detects a magnetic field strength ≥ 15μT (the threshold value of 15μT or greater is set to be higher than the ambient noise to ensure effective triggering and improve the reliability of smart payment. It is also to limit the interaction distance, prevent remote eavesdropping, and improve the security of smart payment. At the same time, the threshold is set lower than the maximum emission intensity of the device, which can also greatly improve the device's battery life). The transaction is enabled.

[0076] The smart payment device then sends an encrypted transaction request feedback signal to the gate, including its device ID and the transaction magnetic field frequency (i.e., the high-frequency magnetic field oscillation frequency x2) of 13.56MHz, and prepares for payment. Once the gate's built-in verification device verifies the legitimacy of the encrypted transaction request feedback signal, it switches from the low-frequency oscillating magnetic field to a high-frequency feedback magnetic field. The function of this high-frequency feedback magnetic field is: f²(t) = 8sin(2π × 13.56MHz × t).

[0077] In step S120, the payment device may receive the high-frequency feedback magnetic field signal and match it with the payment enable signal. If the match is consistent, the payment information of the payment device is displayed.

[0078] In some optional embodiments of this example, after the payment device receives the high-frequency feedback magnetic field signal, it changes its own scanning frequency to the transaction magnetic field frequency (i.e., increases it to the same high-frequency magnetic field oscillation frequency as the high-frequency feedback magnetic field).

[0079] After that, it starts trying to continuously receive magnetic field data of the high-frequency feedback magnetic field in the environment. During the sampling process, until there are a continuous number of qualified samples, a sampling sample for matching the payment enable signal will be generated.

[0080] Finally, the sampled samples are compared with the security protocol built into the payment device. If they pass, they are matched with the payment enable signal; if they fail, a warning such as sound or light flashes is issued to remind the user that there is a danger in the payment environment.

[0081] In some optional embodiments of this example, security verification needs to be continued even after passing the comparison of the built-in security protocol.

[0082] For example, the environmental magnetic field interference signal is continuously detected. If the disturbance value of the environmental magnetic field is detected to be not less than the preset disturbance value, a payment termination instruction is sent; if the disturbance value of the environmental magnetic field is detected to be less than the preset disturbance value, a payment confirmation instruction is sent and the payment information is displayed.

[0083] Alternatively, the timestamp of the payment device is continuously compared with the timestamp validity window of the payment device. If the timestamp of the payment device is within the timestamp validity window of the payment device, a payment confirmation instruction is sent and the payment information is displayed; if the timestamp of the payment device is outside the timestamp validity window of the payment device, a payment termination instruction is sent.

[0084] In a specific example, consider the supermarket cash register and smart payment device mentioned above. Initialize the smart payment device: The preset perturbation value is set to 5μT. This 5μT threshold filters out most environmental interference (for example, near a microwave oven, the typical perturbation is 6-10μT). The timestamp validity window is set to 200ms. This 200ms timestamp validity window effectively protects against relay attacks (traditional NFC attacks require ≥500ms).

[0085] When the smart payment device receives the high-frequency feedback magnetic field signal from the gate, it immediately switches its scanning frequency to 13.56MHz to ensure synchronization with the vibration frequency of the transaction magnetic field. It then collects ambient magnetic field data at a rate of 1000 times per second until 128 consecutive samples meet the sampling frequency of 13.56MHz ± 0.1% and the intensity of 8μT ± 10%. The 128 qualified data are then packaged into an encrypted sample.

[0086] Afterwards, the sample is verified to see if it conforms to a predefined encryption format (such as an AES-256 signature). If verification fails, a buzzer alarm is triggered (e.g., three short beeps) and a red light flashes, indicating "payment environment abnormality." If verification passes, the payment enable signal matching phase is entered, and security verification continues.

[0087] During the continuous security verification process, magnetic field disturbances can be monitored. If the environmental magnetic field interference is severe (for example, a sudden 9μT interference is detected), the transaction will be terminated immediately. The gate LED light will flash red, and the smart payment device will flash red and vibrate, prompting "The payment environment is unsafe." It can also be verified whether the gate timestamp is within the time window (±200ms) of the smart payment device. If the time is not synchronized (>200ms), the smart payment device will determine that it has timed out and prompt "The device has not responded, please try again." The smart payment device needs to be re-approached to the gate. If all of the above security verification methods are passed, a payment confirmation instruction is sent, and the payment information of the smart payment device is displayed (for example, the amount to be paid of 98.5 yuan is displayed on the screen of the smart payment device, with the payment code attached) to conduct the transaction.

[0088] In step S130, the transaction verification method can be preset based on the payment device, and the payment information can be verified. If the verification is successful, the smart payment is completed.

[0089] In some optional embodiments of this example, after the payment device presents the payment information to the payment receiving device, the payment information verification phase begins. Payment verification can typically be performed using methods such as facial recognition and password payment. If verification fails multiple times in a row, the payment device exits the transaction-enabled state and resends a transaction request signal to the payment receiving device.

[0090] When the verification is successful, the payment device receives the payment completion message and emits a return oscillating magnetic field signal to the ambient magnetic field. After receiving the return oscillating magnetic field signal, the payment device pops up the payment completion message and exits the payment transaction state.

[0091] The recurrent oscillating magnetic field signal is based on the recurrent oscillating magnetic field function Emitted. Among them, ω low is the initial low-frequency angular frequency, ω high is the target high-frequency angular frequency, k is the transition rate parameter, t0 is the transition center time, t is the time variable, e is the mathematical constant, A3 is the amplitude, and φ is the initial phase angle.

[0092] Finally, when the transition center time is over, the payment device returns to normal state and continues to periodically emit low-frequency oscillating magnetic fields to the environment, waiting for the next transaction.

[0093] In a specific example, consider the supermarket cash register and smart payment device mentioned above. Once the smart payment device displays the payment information, the payment can be made by approaching the barcode scanner on the gate. In the subsequent verification phase, payment is confirmed by using the pre-set facial recognition feature on the smart payment device or by clicking a password. If facial verification fails three times in a row or for an extended period of time (e.g., 30 seconds), the smart payment device will need to be brought closer to the gate and a transaction request initiated.

[0094] If the payment is confirmed to be successful, the cash register receives the money (98.5 yuan), opens the gate to let the person pass, and emits a regressive oscillating magnetic field. For the sake of simplicity, the transition rate parameter k = 1 -1 s means fast regression, transition center time t0 = 5s, amplitude A3 = 1μT, and initial phase angle φ is set to 0.

[0095] Just bring in:

[0096]

[0097] After simplification, we can get: f3(t)=sin(2π×13.56MHz×t-2π×(13.56MHz-125kHz)×t(ln(1+e t-5 )-ln(1+e -5 )))

[0098] According to the above function formula, in the initial stage, when t < 5s, the switching correction approaches 0, and high-frequency oscillation is maintained. When t ≈ 5s (i.e., when the switching time equals the transition center time), the magnetic field enters the transition stage, the switching correction increases significantly, and the frequency switches rapidly from high frequency to low frequency. When t > 5s, the switching is close to completion and low-frequency oscillation is restored.

[0099] Using this type of function that rapidly downconverts from a high-frequency magnetic field to a low-frequency magnetic field can significantly reduce energy dissipation. The constant term also ensures phase continuity at the start of the transition (t=0), avoiding sudden changes.

[0100] Finally, after receiving the signal from the regressive oscillating magnetic field, the smart payment device confirms the payment is complete and closes the payment interface. After the transition time expires, the cash register gate closes and continues to periodically emit a low-frequency oscillating magnetic field into the environment, waiting for the next transaction.

[0101] This technology ensures the safety and reliability of the entire payment process through multiple security measures, including dynamic magnetic field anti-counterfeiting and continuous verification during the transaction process. Users simply hold their smart device close to the payment terminal, without having to open an app or scan a code, to complete payment, creating a truly seamless payment experience. This solution is particularly suitable for high-frequency payment scenarios such as supermarkets and subway gates, significantly improving transaction efficiency while ensuring payment security.

[0102] It is noted that, although the various steps of the methods of the present disclosure are described in a particular order in the drawings, this is not required or implied as to the order in which the steps must be performed, or that all of the steps shown must be performed to achieve the desired result. Additionally or alternatively, certain steps can be omitted, multiple steps can be combined into a single step, and / or a single step can be broken into multiple steps, etc.

[0103] Further, in the present example embodiment, there is also provided a smart payment device based on variable cross magnetic field feedback recognition. Referring to Figure 3 As shown, the smart payment device 300 based on variable cross magnetic field feedback recognition can include a transaction request module 310, a transaction matching module 320, and a transaction verification module 330. Wherein:

[0104] The transaction request module 310 is configured to, according to the feedback recognition of the variable cross magnetic field, cause the payment device to emit a high-frequency feedback magnetic field by receiving a transaction request emitted by the payment device, to generate a high-frequency feedback magnetic field signal.

[0105] The transaction matching module 320 is configured to cause the payment device to receive the high-frequency feedback magnetic field signal and match it with a payment enabling signal, and if the match is consistent, display payment information of the payment device.

[0106] The transaction verification module 330 is configured to, according to a preset transaction verification method of the payment device, perform transaction verification on the payment information, and if the verification is passed, complete the smart payment.

[0107] The smart payment device based on variable cross magnetic field feedback recognition of the present embodiment corresponds to the embodiments of the smart payment method based on variable cross magnetic field feedback recognition of the present disclosure, and the related content can be mutually referred to, which will not be repeated here. The corresponding beneficial technical effects of the smart payment device based on variable cross magnetic field feedback recognition of the present embodiment can be referred to the corresponding beneficial technical effects of the corresponding example method part described above, which will not be repeated here.

[0108] It should be noted that, although several modules or units of the smart payment device 300 based on variable cross magnetic field feedback recognition are mentioned in the above detailed description, such division is not mandatory. In fact, according to the embodiments of the present disclosure, the features and functions of two or more modules or units described above can be embodied in one module or unit. Conversely, the features and functions of one module or unit described above can be further divided into multiple modules or units.

[0109] Below, reference is made to Figure 4The electronic device according to the embodiment of the present disclosure is described. The electronic device may be either or both of the first device and the second device, or a standalone device independent of them, and the standalone device may communicate with the first device and the second device to receive collected input signals from them.

[0110] Figure 4 A block diagram of an electronic device according to an embodiment of the present disclosure is illustrated.

[0111] like Figure 4 As shown, the electronic device includes one or more processors and memory.

[0112] The processor may be a central processing unit (CPU) or other forms of processing units having data processing capabilities and / or instruction execution capabilities, and may control other components in the electronic device to perform desired functions.

[0113] The memory may store one or more computer program products, and the memory may include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. The volatile memory may include, for example, random access memory (RAM) and / or cache memory. The non-volatile memory may include, for example, read-only memory (ROM), a hard disk, flash memory, etc. One or more computer program products may be stored on the computer-readable storage medium, and the processor may execute the computer program products to implement the various embodiments and methods of the present disclosure described above and / or other desired functions.

[0114] In one example, the electronic device may further include an input device and an output device, and these components are interconnected via a bus system and / or other forms of connection mechanisms (not shown).

[0115] In addition, the input device may also include, for example, a keyboard, a mouse, and the like.

[0116] The output device can output various information to the outside, including determined distance information, direction information, etc. The output device can include, for example, a display, a speaker, a printer, a communication network and a remote output device connected thereto, and the like.

[0117] Of course, to simplify, Figure 4 Only some of the components related to the present disclosure in the electronic device are shown, and components such as a bus, an input / output interface, etc. are omitted. In addition, the electronic device may further include any other appropriate components according to specific application scenarios.

[0118] In addition to the above-mentioned methods and devices, an embodiment of the present disclosure may also be a computer program product, which includes computer program instructions, which, when executed by a processor, enable the processor to execute the steps of the method according to various embodiments of the present disclosure described in the above part of this specification.

[0119] The computer program product may be written in any combination of one or more programming languages ​​to implement the operations of the disclosed embodiments, including object-oriented programming languages ​​such as Java, C++, and conventional procedural programming languages ​​such as C or similar programming languages. The program code may be executed entirely on the user's computing device, partially on the user's computing device, as a standalone software package, partially on the user's computing device and partially on a remote computing device, or entirely on a remote computing device or server.

[0120] In addition, an embodiment of the present disclosure may also be a computer-readable storage medium having computer program instructions stored thereon, which, when executed by a processor, causes the processor to execute the steps of the method according to various embodiments of the present disclosure described in the above part of this specification.

[0121] The computer-readable storage medium can adopt any combination of one or more readable media. The readable medium can be a readable signal medium or a readable storage medium. The readable storage medium can, for example, include but is not limited to a system, device or component of electricity, magnetism, light, electromagnetic, infrared, or semiconductor, or any combination thereof. More specific examples (non-exhaustive list) of readable storage media include: an electrical connection with one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof.

[0122] The basic principles of the present disclosure have been described above in conjunction with specific embodiments. However, it should be noted that the advantages, strengths, and effects mentioned in this disclosure are merely illustrative and not restrictive, and should not be construed as necessarily possessed by each embodiment of the present disclosure. Furthermore, the specific details disclosed above are provided for illustrative purposes and to facilitate understanding, rather than as limitations. These details do not limit the present disclosure to necessarily being implemented using these specific details.

[0123] Each embodiment in this specification is described in a progressive manner, with each embodiment focusing on its differences from the other embodiments. References to the same or similar parts between the various embodiments are sufficient. For system embodiments, since they largely correspond to method embodiments, their description is relatively simple. For relevant parts, references to the description of the method embodiments are sufficient.

[0124] The block diagrams of the devices, devices, equipment, and systems involved in this disclosure are merely illustrative examples and are not intended to require or imply that they must be connected, arranged, or configured in the manner shown in the block diagrams. As will be appreciated by those skilled in the art, these devices, devices, equipment, and systems can be connected, arranged, or configured in any manner. Words such as "include," "comprise," "have," and the like are open-ended words, meaning "including but not limited to," and can be used interchangeably therewith. The words "or" and "and" used herein refer to the words "and / or" and can be used interchangeably therewith, unless the context clearly indicates otherwise. The word "such as" used herein refers to the phrase "such as but not limited to," and can be used interchangeably therewith.

[0125] The methods and apparatus of the present disclosure may be implemented in many ways. For example, the methods and apparatus of the present disclosure may be implemented by software, hardware, firmware, or any combination of software, hardware, and firmware. The above order of steps for the method is for illustration only, and the steps of the method of the present disclosure are not limited to the order specifically described above unless otherwise specified. In addition, in some embodiments, the present disclosure may also be implemented as programs recorded in a recording medium, which include machine-readable instructions for implementing the methods according to the present disclosure. Thus, the present disclosure also covers recording media that store programs for executing the methods according to the present disclosure.

[0126] It should also be noted that in the apparatus, device, and method of the present disclosure, each component or each step can be decomposed and / or recombined. Such decomposition and / or recombination should be regarded as equivalent solutions of the present disclosure.

[0127] The above description of the disclosed aspects is provided to enable any person skilled in the art to make or use the present disclosure. Various modifications to these aspects will be readily apparent to those skilled in the art, and the general principles defined herein may be applied to other aspects without departing from the scope of the present disclosure. Therefore, the present disclosure is not intended to be limited to the aspects shown herein, but rather to be accorded the widest scope consistent with the principles and novel features disclosed herein.

[0128] The above description has been provided for the purpose of illustration and description. In addition, this description is not intended to limit the embodiments of the present disclosure to the forms disclosed herein. Although a number of example aspects and embodiments have been discussed above, those skilled in the art will recognize certain variations, modifications, alterations, additions, and sub-combinations thereof.

Claims

1. An intelligent payment method based on variable cross magnetic field feedback recognition, characterized in that: include: During the transaction request phase, based on feedback recognition of the variable cross magnetic field, the payment device transmits a high-frequency feedback magnetic field by receiving the transaction request from the payment device, generating a high-frequency feedback magnetic field signal. During the transaction matching phase, the payment device receives the high-frequency feedback magnetic field signal and matches it with the payment enable signal. If a match is found, the payment information of the payment device is displayed. During the transaction verification phase, based on the preset transaction verification method of the payment device, the payment information is verified. If the verification is successful, the smart payment is completed.

2. The method according to claim 1, characterized in that The transaction request phase includes: The payment device generates a low-frequency oscillating magnetic field signal by periodically emitting a low-frequency oscillating magnetic field in the environment; When the payment device receives the low-frequency oscillating magnetic field signal, it enters a transaction-enabled state; Based on the transaction enablement state, the payment device sends a transaction request to the payment receiving device and generates a transaction request feedback signal; Based on feedback recognition of the variable cross magnetic field, when the payment device receives the transaction request feedback signal, it emits a high-frequency feedback magnetic field in the environment to generate a high-frequency feedback magnetic field signal.

3. The method according to claim 2, characterized in that The payment device periodically emits a low-frequency oscillating magnetic field in the environment, including: By constructing the normalization function of the variable cross magnetic field, a low-frequency oscillation magnetic field function f1(t)=A1sin(ω low t+φ); Among them, ω low is the initial low-frequency angular frequency, A1 is the amplitude, φ is the initial phase angle, and t is the time variable; Based on the low-frequency oscillation magnetic field function, a low-frequency oscillation magnetic field is generated by constructing and transmitting a variable cross magnetic field.

4. The method according to claim 2, characterized in that Emitting high-frequency feedback magnetic fields in the environment, including: By constructing the high-frequency feedback function of the variable cross magnetic field, a high-frequency feedback magnetic field function f2(t)=A2sin(ω high t+φ); Among them, ω high is the target high-frequency angular frequency, A2 is the amplitude, φ is the initial phase angle, and t is the time variable; Based on the high-frequency feedback magnetic field function, a high-frequency feedback magnetic field is generated by constructing and transmitting a variable cross magnetic field.

5. The method according to claim 1, wherein The transaction matching stage includes: The payment device generates a sampling sample by increasing the scanning frequency to the same frequency as the high-frequency feedback magnetic field and continuously receiving and sampling the high-frequency feedback magnetic field signal a preset number of times; If the sample conforms to the preset security protocol of the payment device, it is matched with the payment enable signal; If the sample does not comply with the preset security protocol of the payment device, a warning is issued.

6. The method according to claim 5, characterized in that The transaction matching stage includes: In the matching of the sampling sample and the payment enable signal, the disturbance of the environmental magnetic field is continuously detected. If the disturbance value of the environmental magnetic field is detected to be less than a preset disturbance value, a payment confirmation instruction is sent and payment information is displayed; If the disturbance value of the environmental magnetic field is detected to be not less than a preset disturbance value, a payment termination instruction is sent; In matching the sampling sample with the payment enable signal, by continuously comparing the timestamp of the payment device with the timestamp validity window of the payment device, if the timestamp of the payment device is within the timestamp validity window of the payment device, sending a payment confirmation instruction and displaying the payment information; If the timestamp of the payment device is outside the valid window of the timestamp of the payment device, a payment termination instruction is sent.

7. The method according to claim 2, characterized in that The transaction verification phase includes: By constructing an oscillation function that returns the variable cross magnetic field to low frequency, a regression oscillation magnetic field function is generated. Among them, ω low is the initial low-frequency angular frequency, ω high is the target high-frequency angular frequency, k is the transition rate parameter, t0 is the transition center time, t is the time variable, e is the mathematical constant, A3 is the amplitude, and φ is the initial phase angle; Based on the verification of the payment information by the payment device, if the verification is successful, the payment collection device emits a regressive oscillating magnetic field based on the regressive oscillating magnetic field function into the ambient magnetic field, and periodically emits a low-frequency oscillating magnetic field in the environment after the transition center time ends; After receiving the signal from the regressive oscillating magnetic field, the payment device ends the payment transaction state and completes the payment; Based on the verification of the payment information by the payment device, if the verification fails, the transaction enabling state is exited and the transaction request is resent.

8. An intelligent payment device based on variable cross magnetic field feedback recognition, characterized in that: include: The transaction request module is used to generate a high-frequency feedback magnetic field signal by transmitting a high-frequency feedback magnetic field based on feedback recognition of the variable cross magnetic field and receiving a transaction request from the payment device; a transaction matching module, configured to enable the payment device to receive the high-frequency feedback magnetic field signal and match it with the payment enable signal, and if a match is found, display the payment information of the payment device; The transaction verification module is used to perform transaction verification on the payment information according to the transaction verification method preset by the payment device. If the verification is successful, the smart payment is completed.

9. An electronic device, characterized in that: include: a memory for storing a computer program product; A processor is configured to execute the computer program product stored in the memory, and when the computer program product is executed, implements the method described in any one of claims 1 to 7.

10. A computer-readable storage medium having computer program instructions stored thereon, characterized in that: When the computer program instructions are executed by a processor, the method described in any one of claims 1 to 7 is implemented.

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