Method, device and equipment for measuring alcoholic strength of base wine in winery and medium

Abstract

The invention relates to a method, a device, equipment and a medium for measuring the alcoholic strength of base liquor in a winery, and relates to the field of alcohol measurement. The method comprises the following steps: according to the initial signal intensity of an electromagnetic wave emission signal, the attenuation value of the electromagnetic wave emission signal under a preset wine jar ceramic thickness, the electromagnetic wave attenuation coefficient of the electromagnetic wave emission signal in to-be-detected base wine and the propagation path length of the electromagnetic wave emission signal in the to-be-detected base wine, determining the initial signal intensity of the electromagnetic wave emission signal; calculating and determining the receiving signal intensity of the electromagnetic wave receiving signal; calculating and determining the signal characteristics of the electromagnetic wave receiving signal according to the receiving signal strength of the electromagnetic wave receiving signal by adopting a Hilbert-Huang transform algorithm; and adopting the signal characteristics of the first electromagnetic wave receiving signal, the signal characteristics of the second electromagnetic wave receiving signal and the first ratio as training samples to train an alcoholic strength detection model so as to predict the alcoholic strength of the to-be-detected base wine in the ceramic wine jar. According to the method, the base liquor loss in alcoholic strength measurement can be remarkably reduced, and potential safety hazards are eliminated.

Description

Technical Field

[0001] The present application relates to the field of alcohol measurement, and in particular to a method for measuring the alcohol content of base wine in a winery, a corresponding device, an electronic device, and a computer-readable storage medium. Background Art

[0002] The inventory of base wine mainly focuses on the collection of the alcohol content and quality of the base wine. In order to measure the alcohol content, traditional wine companies usually use the following methods: density bottle method, alcohol meter method, gas chromatography method and digital density meter method. The density bottle method is suitable for distilled wine, fermented wine and blended wine. This method is low-cost and easy to popularize, but the operation is cumbersome and very sensitive to temperature changes. The alcohol meter method is suitable for alcohol, distilled wine, fermented wine and blended wine other than beer. This method is simple to operate, but it is easily interfered by other ingredients in the wine and is also sensitive to temperature. Gas chromatography is suitable for wine, fruit wine and beer. This method is stable and reliable, but it needs to be distilled and diluted first when measuring high-alcohol beverages, so the operation is relatively complicated. The digital density meter method is suitable for beer, brandy, whiskey and vodka. This method is quick and easy to test, but it requires distillation to remove non-volatile substances, the pre-treatment steps are complicated and the sample consumption is large. The mass is usually measured using a weighing scale.

[0003] The traditional alcohol content measurement technology has the following technical defects, including: First, in the inventory collection of wine, the existing equipment such as density bottle method, alcohol meter method, gas chromatography and digital density meter usually use invasive sensors to measure the alcohol content of base wine. This method usually requires opening the lid of the wine jar, which causes volatilization of the base wine and operational loss. At the same time, changing the storage atmosphere of the base wine may change the taste of the wine.

[0004] Secondly, in the invasive measurement of alcohol content, the measuring instrument often needs to be operated with power on. If the equipment has a short circuit, overload, poor contact, or battery over-discharge leading to explosion and fire, it may cause the base wine to burn and cause a warehouse fire. Therefore, traditional measuring instruments pose a safety hazard to the flammable and explosive nature of base wine.

[0005] Third, in addition to collecting the alcohol content, the wine inventory also needs to measure the quality of the base wine. This measurement method usually uses a weighing scale. However, since the wine jars are made of earthenware (which is easy to break) and the base wine is heavy, it is very difficult to transport it to the scale. Taking inventory of all the base wines in the winery will cost a lot of manpower and material resources, increasing operating costs.

[0006] To sum up, the measurement of the alcohol content of base wine in the prior art requires opening the lid of the wine jar, which causes volatilization of the base wine and operational loss. At the same time, changing the storage atmosphere of the base wine may change the taste of the wine. In addition, if the measuring instrument is short-circuited, overloaded, has poor contact, or the battery is over-discharged, causing explosion and fire, it may cause the base wine to burn and lead to a warehouse fire. In order to solve this problem, the applicant has made corresponding explorations. Summary of the invention

[0007] The purpose of this application is to solve the above-mentioned problems and to provide a method for measuring the alcohol content of base wine in a winery, a corresponding device, an electronic device and a computer-readable storage medium.

[0008] In order to meet the various objectives of this application, this application adopts the following technical solutions: A method for measuring the alcohol content of base wine in a winery proposed for one of the purposes of this application comprises: In response to an instruction to measure the alcohol content of the base wine of the winery, the RFID device is triggered to transmit an electromagnetic wave transmission signal to the base wine to be detected in the ceramic wine jar through a preset first antenna, and then return an electromagnetic wave receiving signal, wherein the electromagnetic wave receiving signal includes a first electromagnetic wave receiving signal and a second electromagnetic wave receiving signal; The receiving signal strength corresponding to the electromagnetic wave receiving signal is calculated and determined according to the initial signal strength of the electromagnetic wave transmitting signal, the attenuation value of the electromagnetic wave transmitting signal under the preset ceramic thickness of the wine jar, the electromagnetic wave attenuation coefficient of the electromagnetic wave transmitting signal in the base wine to be detected, and the propagation path length of the electromagnetic wave transmitting signal in the base wine to be detected; Calculating and determining a first ratio between a received signal strength corresponding to the first electromagnetic wave received signal and a received signal strength corresponding to the second electromagnetic wave received signal; Using a preset Hilbert-Huang transform algorithm to calculate and determine a signal feature corresponding to the electromagnetic wave received signal according to a received signal strength corresponding to the electromagnetic wave received signal, wherein the signal feature is constructed by an instantaneous amplitude, an instantaneous phase, and an instantaneous frequency corresponding to the electromagnetic wave received signal; The alcohol content detection model is trained using the signal characteristics corresponding to the first electromagnetic wave receiving signal, the signal characteristics corresponding to the second electromagnetic wave receiving signal and the first ratio as training samples to predict the alcohol content corresponding to the base wine to be detected in the ceramic wine jar, so as to complete the alcohol content measurement of the base wine of the winery.

[0009] Optionally, the step of calculating and determining the received signal strength corresponding to the electromagnetic wave received signal according to the initial signal strength of the electromagnetic wave transmitted signal, the attenuation value of the electromagnetic wave transmitted signal under a preset wine jar ceramic thickness, the electromagnetic wave attenuation coefficient of the electromagnetic wave transmitted signal in the base wine to be detected, and the propagation path length of the electromagnetic wave transmitted signal in the base wine to be detected includes: Obtaining the initial signal strength of the electromagnetic wave transmission signal, the attenuation value of the electromagnetic wave transmission signal under a preset wine jar ceramic thickness, the electromagnetic wave attenuation coefficient of the electromagnetic wave transmission signal in the base wine to be detected, the propagation path length of the electromagnetic wave transmission signal in the base wine to be detected, the attenuation coefficient of each unit path segment of the electromagnetic wave transmission signal in the base wine to be detected, the propagation distance of each unit path segment of the electromagnetic wave transmission signal in the base wine to be detected, the transmission coefficient product of the first antenna, and the adjustment factor; Calculate and determine a first product between an electromagnetic wave attenuation coefficient of the electromagnetic wave emission signal in the base wine to be detected and a propagation path length of the electromagnetic wave emission signal in the base wine to be detected, and calculate and determine a first natural exponential function value with a negative value of the first product as an exponent; Calculate and determine a second product between the attenuation coefficient of each unit path segment of the electromagnetic wave emission signal in the base wine to be detected and the propagation distance of each unit path segment of the electromagnetic wave emission signal in the base wine to be detected, calculate and determine a second natural exponential function value with the negative value of the second product as an exponent, and calculate and determine the cumulative attenuation value of multiple unit path segments of the electromagnetic wave emission signal in the base wine to be detected according to the second natural exponential function value; The attenuation value of the electromagnetic wave transmission signal at a preset wine jar ceramic thickness, the first natural exponential function value, the cumulative attenuation value of the electromagnetic wave transmission signal in multiple unit path segments in the base wine to be detected, the product of the transmission coefficient of the first antenna, the adjustment factor and the third product of the initial signal strength of the electromagnetic wave transmission signal are calculated to determine the receiving signal strength corresponding to the electromagnetic wave receiving signal.

[0010] Optionally, the step of calculating and determining a first ratio between a received signal strength corresponding to the first electromagnetic wave received signal and a received signal strength corresponding to the second electromagnetic wave received signal includes: Obtaining a first natural exponential function value with the negative value of the first product as an exponent and a cumulative attenuation value of a plurality of unit path segments of the electromagnetic wave emission signal in the base wine to be detected; Calculate and determine the fourth product between the first natural exponential function value and the cumulative attenuation value of multiple unit path segments of the electromagnetic wave transmission signal in the base wine to be detected, so as to determine the first ratio between the received signal strength corresponding to the first electromagnetic wave received signal and the received signal strength corresponding to the second electromagnetic wave received signal.

[0011] Optionally, the step of using a preset Hilbert-Huang transform algorithm to calculate and determine a signal feature corresponding to the electromagnetic wave received signal according to a received signal strength corresponding to the electromagnetic wave received signal includes: Acquire a received signal strength corresponding to the electromagnetic wave received signal and a Hilbert-Huang transform value corresponding to the received signal strength; Calculate and determine a first square value of a received signal strength corresponding to the electromagnetic wave received signal and a second square value of a Hilbert-Huang transform value corresponding to the received signal strength; A first sum value between the first square value and the second square value is calculated and determined, and a first square root value of the first sum value is calculated and determined to determine an instantaneous amplitude corresponding to the electromagnetic wave reception signal.

[0012] Optionally, the step of using a preset Hilbert-Huang transform algorithm to calculate and determine a signal feature corresponding to the electromagnetic wave received signal according to a received signal strength corresponding to the electromagnetic wave received signal includes: Acquire a received signal strength corresponding to the electromagnetic wave received signal and a Hilbert-Huang transform value corresponding to the received signal strength; A second ratio between the received signal strength corresponding to the electromagnetic wave received signal and the Hilbert-Huang transform value corresponding to the received signal strength is calculated and determined, and an inverse tangent function value corresponding to the second ratio is calculated and determined to determine the instantaneous phase corresponding to the electromagnetic wave received signal.

[0013] Optionally, the step of using a preset Hilbert-Huang transform algorithm to calculate and determine a signal feature corresponding to the electromagnetic wave received signal according to a received signal strength corresponding to the electromagnetic wave received signal includes: Acquire a received signal strength corresponding to the electromagnetic wave received signal and an instantaneous phase corresponding to the electromagnetic wave received signal; Calculate and determine a first change rate between the instantaneous phase corresponding to the electromagnetic wave reception signal and the received signal strength corresponding to the electromagnetic wave reception signal, and calculate and determine a fifth product between the first change rate and a preset value to determine the instantaneous frequency corresponding to the electromagnetic wave reception signal, wherein the preset value is .

[0014] Optionally, the basic network architecture of the alcohol detection model is a wide convolutional neural network, wherein the wide convolutional neural network includes a wide convolutional layer, a pooling layer, a fully connected layer and an output layer, and the wide convolutional layer, the pooling layer, the fully connected layer and the output layer are connected in sequence.

[0015] A device for measuring the alcohol content of base wine in a winery provided for another purpose of the present application comprises: The detection trigger module is configured to respond to an instruction to measure the alcohol content of the base wine of the winery, trigger the RFID device to transmit an electromagnetic wave transmission signal to the base wine to be detected in the ceramic wine jar through a preset first antenna, and then return an electromagnetic wave reception signal, wherein the electromagnetic wave reception signal includes a first electromagnetic wave reception signal and a second electromagnetic wave reception signal; A received signal strength determination module is configured to calculate and determine the received signal strength corresponding to the electromagnetic wave received signal according to the initial signal strength of the electromagnetic wave transmitted signal, the attenuation value of the electromagnetic wave transmitted signal under a preset wine jar ceramic thickness, the electromagnetic wave attenuation coefficient of the electromagnetic wave transmitted signal in the base wine to be detected, and the propagation path length of the electromagnetic wave transmitted signal in the base wine to be detected; A first ratio determination module, configured to calculate and determine a first ratio between a received signal strength corresponding to the first electromagnetic wave received signal and a received signal strength corresponding to the second electromagnetic wave received signal; A signal feature determination module, configured to use a preset Hilbert-Huang transform algorithm to calculate and determine a signal feature corresponding to the electromagnetic wave received signal according to a received signal strength corresponding to the electromagnetic wave received signal, wherein the signal feature is constructed by an instantaneous amplitude, an instantaneous phase, and an instantaneous frequency corresponding to the electromagnetic wave received signal; The alcohol content measurement module is configured to use the signal characteristics corresponding to the first electromagnetic wave receiving signal, the signal characteristics corresponding to the second electromagnetic wave receiving signal and the first ratio as training samples to train an alcohol content detection model, so as to predict the alcohol content corresponding to the base wine to be detected in the ceramic wine jar, so as to complete the alcohol content measurement of the base wine of the winery.

[0016] An electronic device provided to meet another purpose of the present application includes a central processing unit and a memory, wherein the central processing unit is used to call and run a computer program stored in the memory to execute the steps of the method for measuring the alcohol content of the base wine of the winery described in the present application.

[0017] A computer-readable storage medium is provided to meet another purpose of the present application, which stores a computer program implemented according to the alcohol content measurement method of the base wine of the winery in the form of computer-readable instructions. When the computer program is called and executed by a computer, the steps included in the corresponding method are executed.

[0018] Compared with the prior art, the present application aims at the problem that the base wine volatilization and operation loss are caused by opening the cover of the wine jar during the measurement of the alcohol content of the base wine in the prior art, and the change of the base wine storage atmosphere may change the taste of the wine. In addition, if the measuring instrument is short-circuited, overloaded, has poor contact, or the battery is over-discharged, it may cause the base wine to burn and cause a warehouse fire. The present application includes but is not limited to the following beneficial effects: First, the traditional methods for measuring the alcohol content of base wine (such as density bottle method, alcohol meter method, gas chromatography and digital density meter) require opening the lid or direct contact with the base wine, which not only causes the volatilization loss of the base wine, but also may change the atmosphere inside the wine jar and affect the taste of the wine. This application uses RFID technology for non-contact measurement, avoiding the need to open the wine jar, thereby minimizing the volatilization and loss of the base wine and maintaining the stability and flavor of the wine; Secondly, traditional alcohol content measuring equipment often needs to be operated with power on when base wine is stored (such as digital density meters or other electronic devices), which may cause electrical faults such as short circuits, overloads, and poor contact, and then cause safety accidents such as fires, especially in flammable and explosive environments with high alcohol content. This application uses RFID technology for non-contact measurement. RFID technology is a low-power wireless technology that does not rely on batteries or high voltage operations, so it can effectively eliminate safety hazards caused by electrical faults. This greatly reduces the risk of fire and other dangers for the base wine warehouse of the winery.

[0019] Third, when traditional wineries conduct base wine inventory, they usually use weighing scales to measure the base wine quality, which is especially difficult for heavy wine jars because earthenware wine jars are easily damaged and cumbersome to carry. This application uses RFID technology, which can achieve non-contact liquid level height and alcohol content measurement by installing RFID tags and combining sensors, without moving the wine jars or directly contacting the wine body, thus effectively avoiding damage and cumbersome operations. This technology not only simplifies the operation, but also reduces the consumption of manpower and material resources, thereby reducing the overall operating costs.

[0020] Fourthly, this application can realize real-time data collection of base wine jars through RFID technology, and information such as base wine alcohol content, liquid level, and jar ID can be automatically identified and uploaded through the RFID reader. These data can not only be stored locally, but also synchronized to a remote database for analysis and archiving. This method enables the winery to achieve real-time online and offline monitoring, providing more accurate and convenient data support for the management of alcohol content and liquid level, and helping to improve the winery's inventory management efficiency and production scheduling accuracy.

[0021] Fifth, in order to address the signal attenuation problem of base wine, this application adopts a wide convolutional neural network for alcohol content detection, which can effectively process the signal error caused by electromagnetic wave attenuation. The wide convolutional neural network optimizes the model through deep learning and can extract high-precision alcohol content data from complex signals. Combined with deep learning technology, the traditional model can be calibrated, especially for the special influence of materials such as ceramic wine jars on the signal, further improving the accuracy and stability of alcohol content detection.

[0022] Sixth, this application uses RFID technology, so that each wine jar can have a unique ID tag. Combining the wine jar ID with the stored data such as alcohol content and liquid level, accurate wine jar management can be achieved. RFID technology can not only help the winery track the status of each wine jar, but also improve the traceability of the wine jar, which is helpful for quality monitoring and traceability management. After the wine jar ID data is uploaded to the database, the winery staff can check the alcohol content and liquid level changes of each wine jar at any time and make timely adjustments.

[0023] Furthermore, the non-contact base wine detection solution based on RFID technology has significant advantages in reducing base wine loss, eliminating safety hazards, reducing labor costs, improving measurement accuracy and realizing data management. It not only improves the work efficiency of the winery, but also effectively reduces risks and costs, and promotes the development of intelligent and automated production in the winery. These beneficial effects make RFID technology an important technological breakthrough in modern alcohol measurement and base wine inventory management. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which: Figure 1 This is a schematic diagram of the process of measuring the alcohol content of base wine in a winery in an embodiment of the present application; Figure 2 This is an exemplary architecture of the alcohol content measurement system of the base wine of the winery in the embodiment of the present application; Figure 3 This is a schematic diagram of the installation method of the non-destructive detection sensor of the base wine alcohol content in the embodiment of the present application; Figure 4 A schematic diagram of a process for determining a received signal strength corresponding to an electromagnetic wave received signal in an embodiment of the present application; Figure 5 A schematic diagram of a flow chart for determining a ratio between received signal strengths corresponding to a first electromagnetic wave received signal and a second electromagnetic wave received signal in an embodiment of the present application; Figure 6 A schematic diagram of a process for determining the instantaneous amplitude corresponding to an electromagnetic wave receiving signal in an embodiment of the present application; Figure 7A schematic diagram of a process for determining an instantaneous phase corresponding to an electromagnetic wave receiving signal in an embodiment of the present application; Figure 8 A schematic diagram of a flow chart for determining the instantaneous frequency corresponding to an electromagnetic wave receiving signal in an embodiment of the present application; Fig. 9 An exemplary network structure of a wide convolutional neural network in an embodiment of the present application; Fig.10 A schematic diagram of calibrating the alcohol content measurement value of the base wine in the embodiment of the present application; Fig.11 A schematic diagram of a process of intercepting data of received signal strength in an embodiment of the present application; Fig.12 This is a schematic diagram of an RFID device performing alcohol content detection on multiple target base wines in an embodiment of the present application; Fig.13 A schematic diagram of RFID data reading and writing and edge computing in an embodiment of the present application; Fig.14 This is a functional block diagram of a device for measuring the alcohol content of base wine in a winery in an embodiment of the present application; Fig.15 It is a schematic diagram of the structure of the computer device in the embodiment of the present application. DETAILED DESCRIPTION

[0025] The embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present application, and cannot be interpreted as limiting the present application.

[0026] It will be understood by those skilled in the art that, unless expressly stated, the singular forms "one", "said", and "the" used herein may also include plural forms. It should be further understood that the term "comprising" used in the specification of the present application refers to the presence of the features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or groups thereof. It should be understood that when we refer to an element as being "connected" or "coupled" to another element, it may be directly connected or coupled to the other element, or there may be an intermediate element. In addition, the "connection" or "coupling" used herein may include wireless connection or wireless coupling. The term "and / or" used herein includes all or any unit and all combinations of one or more associated listed items.

[0027] It will be understood by those skilled in the art that, unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as generally understood by those skilled in the art to which this application belongs. It should also be understood that terms such as those defined in common dictionaries should be understood to have meanings consistent with the meanings in the context of the prior art, and will not be interpreted with idealized or overly formal meanings unless specifically defined as here.

[0028] It will be understood by those skilled in the art that the "client", "terminal" and "terminal device" used herein include both devices with wireless signal receivers, which are devices with only wireless signal receivers without transmission capabilities, and devices with receiving and transmitting hardware, which are devices with receiving and transmitting hardware capable of two-way communication on a two-way communication link. Such devices may include: cellular or other communication devices such as personal computers, tablet computers, which have single-line displays or multi-line displays or cellular or other communication devices without multi-line displays; PCS (Personal Communications Service, personal communication system), which can combine voice, data processing, fax and / or data communication capabilities; PDA (Personal Digital Assistant, personal digital assistant), which may include a radio frequency receiver, pager, Internet / intranet access, web browser, notepad, calendar and / or GPS (Global Positioning System, global positioning system) receiver; conventional laptop and / or palmtop computers or other devices, which have and / or include a conventional laptop and / or palmtop computer or other device with and / or including a radio frequency receiver. The "client", "terminal" and "terminal device" used herein may be portable, transportable, installed in a vehicle (air, sea and / or land), or suitable and / or configured to run locally, and / or in a distributed form, at any other location on the earth and / or in space. The "client", "terminal" and "terminal device" used herein may also be a communication terminal, an Internet terminal, a music / video playback terminal, such as a PDA, a MID (Mobile Internet Device) and / or a mobile phone with a music / video playback function, or a smart TV, a set-top box and other devices.

[0029] The hardware referred to by the names such as "server", "client", and "service node" in this application is essentially an electronic device with capabilities equivalent to those of a personal computer. It is a hardware device that has the necessary components revealed by the von Neumann principle, such as a central processing unit (including an arithmetic unit and a controller), a memory, an input device, and an output device. The computer program is stored in its memory, and the central processing unit calls the program stored in the external memory into the internal memory for execution, executes the instructions in the program, and interacts with the input and output devices to complete specific functions.

[0030] It should be pointed out that the concept of "server" referred to in this application can also be extended to the case of server clusters. According to the network deployment principle understood by those skilled in the art, the servers should be logically divided. In physical space, these servers can be independent of each other but can be called through interfaces, or integrated into a physical computer or a set of computer clusters. Those skilled in the art should understand this flexibility, and should not use it to restrict the implementation of the network deployment method of this application.

[0031] Unless expressly specified, one or more technical features of the present application can be deployed on a server for implementation and accessed by a client through a remote call to obtain an online service interface provided by the server, or can be directly deployed and run on a client for access.

[0032] The neural network models referenced or may be referenced in this application, unless expressly specified, can be deployed on a remote server and remotely called on the client, or can be deployed and directly called on a client with sufficient device capabilities. In some embodiments, when it runs on the client, its corresponding intelligence can be obtained through transfer learning to reduce the requirements for the client's hardware operating resources and avoid excessive occupation of the client's hardware operating resources.

[0033] Unless explicitly specified, the various data involved in this application can be stored remotely on a server or on a local terminal device, as long as it is suitable for being called by the technical solution of this application.

[0034] Those skilled in the art should be aware that, although the various methods of the present application are described based on the same concept and thus present commonality to each other, unless otherwise specified, these methods can be independently executed. Similarly, for each embodiment disclosed in the present application, they are all proposed based on the same inventive concept, therefore, concepts with the same expression, and concepts that are appropriately changed for convenience despite different expressions, should be understood as equivalent.

[0035] Unless the mutually exclusive relationship between the embodiments to be disclosed in this application is explicitly stated, the relevant technical features involved in each embodiment can be cross-combined to flexibly construct a new embodiment, as long as such combination does not deviate from the creative spirit of this application and can meet the needs of the prior art or solve certain deficiencies in the prior art. Those skilled in the art should be aware of this flexibility.

[0036] In the inventory collection of wine, the existing equipment density bottle method, alcohol meter method, gas chromatography and digital density meter usually use invasive sensors to measure the alcohol content of base wine. This method usually requires opening the lid of the wine jar, which causes the base wine to volatilize and operate at a loss. At the same time, changing the storage atmosphere of the base wine may change the taste of the wine. In the invasive measurement of alcohol content, the measuring instrument often needs to be operated with power. If the equipment has problems such as short circuit, overload, poor contact, and explosion and fire caused by over-discharge of the battery, it may cause the base wine to burn and cause a warehouse fire. Therefore, traditional measuring instruments have hidden safety hazards for the flammable and explosive characteristics of the base wine. In addition to collecting the alcohol content, the wine inventory also needs to measure the quality of the base wine. This measurement method usually uses a weighing scale, but because the wine jar is made of earthenware materials, the earthenware wine jar is prone to damage and the weight of the base wine is heavy, which makes it very difficult to carry it to the scale. The entire inventory of the base wine of the winery will cost a lot of manpower and material resources, increasing operating costs.

[0037] Based on the above exemplary scenarios, please refer to Figure 1 In one embodiment, the alcohol content measurement method of the base wine of the winery of the present application comprises: Step S10, in response to the instruction to measure the alcohol content of the base wine of the winery, triggering the RFID device to transmit an electromagnetic wave transmission signal to the base wine to be detected in the ceramic wine jar through a preset first antenna, and then returning an electromagnetic wave reception signal, wherein the electromagnetic wave reception signal includes a first electromagnetic wave reception signal and a second electromagnetic wave reception signal; The alcohol content measurement system in the terminal device can respond to the instruction to measure the alcohol content of the base wine of the winery, trigger the RFID (radio frequency identification) device to transmit an electromagnetic wave transmission signal to the base wine to be detected in the ceramic wine jar through a preset first antenna, and then return an electromagnetic wave reception signal, wherein the electromagnetic wave reception signal includes a first electromagnetic wave reception signal and a second electromagnetic wave reception signal; In some embodiments, see Figure 2 In response to the problems existing in the above-mentioned traditional base wine alcohol content measurement, the alcohol content measurement method of the winery base wine of the present application can trigger the RFID (radio frequency identification) device to transmit an electromagnetic wave transmission signal to the base wine to be detected in the ceramic wine jar through a preset first antenna. In the present application, the RFID device is used to supply power to the outside, and its electromagnetic wave power is low. Therefore, the propagation distance is reduced by designing a directional antenna.

[0038] See also Figure 3 The alcohol content measurement method of the base wine of the winery of the present application adopts a one-transmit-two-receive antenna design, and its structure is as follows Figure 3 As shown, the first antenna (antenna A) is used to measure the alcohol content of the base wine, and the second antenna (antenna B) is used to send messages to the outside world. Among them, the first antenna (antenna A) adopts a one-transmit-two-receive directional design, which can focus on receiving signals from a specific direction, improve the accuracy and stability of the measurement, and avoid interference from external objects on the electromagnetic wave measurement.

[0039] In a further embodiment, the present application does not directly utilize the antenna of the RFID device to realize electromagnetic wave transceiver, but realizes the electromagnetic wave transceiver function through an additional antenna, which can optimize the emission and reception of electromagnetic waves, avoid the limitations of the RFID device antenna itself, and store the collected base wine electromagnetic wave echo signal in the data block of the RFID (radio frequency identification) device to facilitate the external transmission of data.

[0040] Based on the low power consumption characteristics of RFID devices, the second antenna (antenna B) adopts the passive power supply of RFID (radio frequency identification) devices. The chip can be powered by a button battery and can achieve long-term timing measurement.

[0041] Specifically, the alcohol content is measured by the absorption intensity of electromagnetic waves in the base wine inventory. The attenuation degree of electromagnetic waves will be different when penetrating base wines with different alcohol contents. The attenuation factor is , the initial value is , the attenuation factor of electromagnetic waves in liquid base wine can be obtained according to the following formula, which is expressed as: , in, represents the attenuation factor of electromagnetic waves, represents the wavelength of electromagnetic waves, represents the real part of the dielectric constant of the liquid base wine, Represents the imaginary part of the dielectric constant of the liquid base wine.

[0042] Through the above formula, it can be concluded that the attenuation of electromagnetic waves is related to the dielectric constant of the liquid base wine, and the dielectric constant of the liquid base wine is caused by the polarization characteristics of the molecules in the liquid base wine, and its value is also related to the frequency of the incident electromagnetic wave. molecules, the electromagnetic wave resonant frequency is , the damping coefficient is , the different positions of the molecules in the liquid base wine will have different position indexes, so the repolarization value of the liquid base wine is The expression is: , in, Indicates the repolarization value of the liquid base wine, Indicates the number of molecules per unit volume of liquid base wine. represents the electric field strength, represents the charge mass, which is equal to , The charge of an electron is equal to Cullen, The frequency factors corresponding to the electrons at different positions, Indicates the number of The natural frequency of the vibration mode, in Hertz (Hz), represents the incident frequency of the electromagnetic wave, The first The damping coefficient of each vibration mode, which is used to describe the energy loss of the vibration, Represents the position index of a molecule in the liquid base wine.

[0043] The expression of the dielectric constant of the liquid base wine is: , in, Indicates the dielectric constant of the liquid base wine, Represents the dielectric constant of a vacuum.

[0044] In a further embodiment, in the alcohol content detection of the base wine, the electromagnetic wave signal is sent and received by the antenna for measurement, and the electromagnetic wave signal needs to pass through the ceramic outer wall of the wine jar to reach the base wine and then return. have: , For a transmit-receive antenna structure, the expression for the reflectivity between the base wine and the ceramic is: , in, Indicates the received signal strength of the electromagnetic wave received signal, Indicates the signal strength of the electromagnetic wave transmission signal. Represents the gain of the electromagnetic wave transmission signal, Represents the gain of the electromagnetic wave receiving signal, represents the wavelength of electromagnetic waves, represents the propagation loss, Indicates the wall thickness of the ceramic wine jar. represents the refractive index of ceramics, Represents the refractive index of the base wine, It represents the reflectivity between the base wine and the ceramic, which indicates the reflection of electromagnetic waves on the interface between the base wine and the ceramic.

[0045] From the above formula, we can know that in the process of alcohol content detection of base wine, the electromagnetic wave signal is sent from the transmitting end (antenna) to the base wine and propagates through the ceramic wall, and then returns to the receiving end. During the transmission process, the thickness of the ceramic wall ( ) has a great influence on the attenuation of the signal, and the attenuation is in a fourth-power relationship. In order to control the propagation distance and reduce the signal attenuation, this application uses RFID equipment, whose electromagnetic wave power is low. Therefore, a directional antenna is designed to concentrate the directionality of the signal, reduce the propagation distance of the signal, and thus improve the detection accuracy of the signal.

[0046] Step S20, calculating and determining the received signal strength corresponding to the electromagnetic wave received signal according to the initial signal strength of the electromagnetic wave transmitted signal, the attenuation value of the electromagnetic wave transmitted signal under a preset wine jar ceramic thickness, the electromagnetic wave attenuation coefficient of the electromagnetic wave transmitted signal in the base wine to be detected, and the propagation path length of the electromagnetic wave transmitted signal in the base wine to be detected; After the RFID device is triggered to transmit an electromagnetic wave transmission signal to the base wine to be detected in the ceramic wine jar through a preset first antenna, and after the electromagnetic wave reception signal is returned, the reception signal strength corresponding to the electromagnetic wave reception signal is calculated and determined according to the initial signal strength of the electromagnetic wave transmission signal, the attenuation value of the electromagnetic wave transmission signal under the preset wine jar ceramic thickness, the electromagnetic wave attenuation coefficient of the electromagnetic wave transmission signal in the base wine to be detected, and the propagation path length of the electromagnetic wave transmission signal in the base wine to be detected; In some embodiments, see Figure 4 The step of calculating and determining the received signal strength corresponding to the electromagnetic wave received signal according to the initial signal strength of the electromagnetic wave transmitted signal, the attenuation value of the electromagnetic wave transmitted signal under a preset wine jar ceramic thickness, the electromagnetic wave attenuation coefficient of the electromagnetic wave transmitted signal in the base wine to be detected, and the propagation path length of the electromagnetic wave transmitted signal in the base wine to be detected comprises: Step S201, obtaining the initial signal strength of the electromagnetic wave transmission signal, the attenuation value of the electromagnetic wave transmission signal under a preset wine jar ceramic thickness, the electromagnetic wave attenuation coefficient of the electromagnetic wave transmission signal in the base wine to be detected, the propagation path length of the electromagnetic wave transmission signal in the base wine to be detected, the attenuation coefficient of each unit path segment of the electromagnetic wave transmission signal in the base wine to be detected, the propagation distance of each unit path segment of the electromagnetic wave transmission signal in the base wine to be detected, the transmission coefficient product of the first antenna, and the adjustment factor; Step S202, calculating and determining a first product between an electromagnetic wave attenuation coefficient of the electromagnetic wave emission signal in the base wine to be detected and a propagation path length of the electromagnetic wave emission signal in the base wine to be detected, and calculating and determining a first natural exponential function value with a negative value of the first product as an exponent; Step S203, calculating and determining a second product between the attenuation coefficient of each unit path segment of the electromagnetic wave emission signal in the base wine to be detected and the propagation distance of each unit path segment of the electromagnetic wave emission signal in the base wine to be detected, calculating and determining a second natural exponential function value with the negative value of the second product as an exponent, and calculating and determining the cumulative attenuation value of multiple unit path segments of the electromagnetic wave emission signal in the base wine to be detected according to the second natural exponential function value; Step S204, calculate and determine the attenuation value of the electromagnetic wave transmission signal under the preset ceramic thickness of the wine jar, the first natural exponential function value, the cumulative attenuation value of the electromagnetic wave transmission signal in multiple unit path segments in the base wine to be detected, the product of the transmission coefficient of the first antenna, the adjustment factor and the third product of the initial signal strength of the electromagnetic wave transmission signal, so as to determine the receiving signal strength corresponding to the electromagnetic wave receiving signal.

[0047] Specifically, based on Figure 2 and Figure 3 In the installation method shown, the first antenna (antenna A) is used to send an electromagnetic wave transmission signal to measure the alcohol content of the base wine to be tested, and the second antenna (antenna B) is used to receive the returned electromagnetic wave signal and send the data to an external device for processing.

[0048] The RFID device is used in this application mainly to consider the low power consumption and high reliability data collection solution. In the first antenna (antenna A), the electromagnetic wave transmission signal transmitted penetrates the ceramic to reach the base wine to be detected, and then the electromagnetic wave is received after attenuation. The signal receiving strength corresponding to the electromagnetic wave receiving signal can be obtained by the following formula, where the expression of the signal receiving strength corresponding to the first electromagnetic wave receiving signal is: , in, represents the signal receiving strength corresponding to the first electromagnetic wave receiving signal, Indicates the thickness of the ceramic in the wine jar The attenuation value under It represents the electromagnetic wave attenuation coefficient of the electromagnetic wave emission signal in the base wine to be detected. Indicates the first transmission path The propagation path length of the electromagnetic wave emission signal in the base wine to be detected, Indicates the electromagnetic wave emission signal in the base wine to be tested. The attenuation coefficient per unit path segment is Indicates the first transmission path The propagation distance of the electromagnetic wave transmission signal in each unit path segment in the base wine to be detected, represents the product of the transmission coefficients of the first antenna, which is used to reflect the transmission efficiency of the first antenna. represents the adjustment factor, Indicates the initial signal strength of the electromagnetic wave transmission signal. represents the diameter of the base wine to be tested in the ceramic wine jar. Since the complete penetration of electromagnetic waves in the base wine to be tested is not considered, .

[0049] The expression of the signal receiving strength corresponding to the second electromagnetic wave receiving signal is: , in, represents the signal receiving strength corresponding to the second electromagnetic wave receiving signal, Indicates the thickness of the ceramic in the wine jar The attenuation value under It represents the electromagnetic wave attenuation coefficient of the electromagnetic wave emission signal in the base wine to be detected. Indicates the second transmission path The propagation path length of the electromagnetic wave emission signal in the base wine to be detected, Indicates the electromagnetic wave emission signal in the base wine to be tested. The attenuation coefficient per unit path segment is Indicates the second transmission path The propagation distance of the electromagnetic wave transmission signal in each unit path segment in the base wine to be detected, represents the product of the transmission coefficients of the first antenna, which is used to reflect the transmission efficiency of the first antenna. represents the adjustment factor, Indicates the initial signal strength of the electromagnetic wave transmission signal. represents the diameter of the base wine to be tested in the ceramic wine jar. Since the complete penetration of electromagnetic waves in the base wine is not considered, .

[0050] Based on the above formula, the signal reception strengths corresponding to the first electromagnetic wave reception signal and the second electromagnetic wave reception signal can be calculated and determined.

[0051] In some embodiments, dual-antenna reception can better obtain the angle of arrival (AOA) of the electromagnetic wave transmission signal reflected by the base wine to be detected. Since the signal is obtained from the phase difference between two adjacent receiving antennas, it can be used to calibrate the receiving signal. At the same time, dual-antenna reception is used to eliminate the interference of the outer wall morphology on the electromagnetic wave for different installation positions of the device. The expression of the angle of arrival of the electromagnetic wave transmission signal reflected by the base wine to be detected is: , in, It indicates the arrival angle of the electromagnetic wave transmission signal reflected by the base wine to be tested. is the phase deviation of the dual receiving antennas, which represents the difference in the signal phase received between two adjacent receiving antennas. is the receiving antenna spacing, which represents the physical distance between two adjacent antennas, Indicates the wavelength of the electromagnetic wave signal.

[0052] Step S30, calculating and determining a first ratio between a received signal strength corresponding to the first electromagnetic wave received signal and a received signal strength corresponding to the second electromagnetic wave received signal; After calculating and determining the received signal strength corresponding to the electromagnetic wave received signal according to the initial signal strength of the electromagnetic wave transmitted signal, the attenuation value of the electromagnetic wave transmitted signal under a preset wine jar ceramic thickness, the electromagnetic wave attenuation coefficient of the electromagnetic wave transmitted signal in the base wine to be detected, and the propagation path length of the electromagnetic wave transmitted signal in the base wine to be detected, calculate and determine a first ratio between the received signal strength corresponding to the first electromagnetic wave received signal and the received signal strength corresponding to the second electromagnetic wave received signal; In some embodiments, see Figure 5 , the step of calculating and determining a first ratio between a received signal strength corresponding to the first electromagnetic wave received signal and a received signal strength corresponding to the second electromagnetic wave received signal comprises: Step S301, obtaining a first natural exponential function value with the negative value of the first product as an exponent and a cumulative attenuation value of a plurality of unit path segments of the electromagnetic wave emission signal in the base wine to be detected; Step S302, calculate and determine the fourth product between the first natural exponential function value and the cumulative attenuation value of multiple unit path segments of the electromagnetic wave transmission signal in the base wine to be detected, so as to determine a first ratio between the received signal strength corresponding to the first electromagnetic wave received signal and the received signal strength corresponding to the second electromagnetic wave received signal.

[0053] Specifically, , , , It represents the diameter of the base wine to be tested in the ceramic wine jar. Since the complete penetration of electromagnetic waves in the base wine is not considered ， but , the ratio of the received signal strength corresponding to the first electromagnetic wave received signal to the received signal strength corresponding to the second electromagnetic wave received signal, that is, the expression of the ratio of the signal strengths received by the two receiving antennas is expressed as: , By using the above formula, the ratio between the received signal strength corresponding to the first electromagnetic wave received signal and the received signal strength corresponding to the second electromagnetic wave received signal can be calculated and determined.

[0054] Step S40, using a preset Hilbert-Huang transform algorithm to calculate and determine a signal feature corresponding to the electromagnetic wave received signal according to a received signal strength corresponding to the electromagnetic wave received signal, wherein the signal feature is constructed by an instantaneous amplitude, an instantaneous phase, and an instantaneous frequency corresponding to the electromagnetic wave received signal; After calculating and determining a first ratio between a received signal strength corresponding to the first electromagnetic wave received signal and a received signal strength corresponding to the second electromagnetic wave received signal, a preset Hilbert-Huang transform algorithm is used to calculate and determine a signal feature corresponding to the electromagnetic wave received signal according to the received signal strength corresponding to the electromagnetic wave received signal, wherein the signal feature is constructed by an instantaneous amplitude, an instantaneous phase, and an instantaneous frequency corresponding to the electromagnetic wave received signal; In some embodiments, see Figure 6 The step of using a preset Hilbert-Huang transform algorithm to calculate and determine the signal characteristics corresponding to the electromagnetic wave received signal according to the received signal strength corresponding to the electromagnetic wave received signal comprises: Step S401, obtaining a received signal strength corresponding to the electromagnetic wave received signal and a Hilbert-Huang transform value corresponding to the received signal strength; Step S402, calculating and determining a first square value of a received signal strength corresponding to the electromagnetic wave received signal and a second square value of a Hilbert-Huang transform value corresponding to the received signal strength; Step S403: Calculate and determine a first sum value between the first square value and the second square value, and calculate and determine a first square root value of the first sum value to determine an instantaneous amplitude corresponding to the electromagnetic wave reception signal.

[0055] Specifically, the received signal strength data is generated based on the intermediate frequency signal of the electromagnetic wave radar, where the intermediate frequency signal is modulated and collected based on the radar sending frame. In the base wine collection process, the sliding window is intercepted for each frame of data, and the peak window of each frame function is intercepted to meet the data storage and transmission of the RFID device in bytes. The RFID device reader reads the data in the RFID device chip and performs the Hilbert-Huang Transform (HHT) algorithm to analyze the received signal strength as the feature input of the deep learning model. Finally, the alcohol content result corresponding to the base wine to be tested is returned to the RFID device and the database. At the same time, the RFID device also sends the height data processed by the radar signal to the edge processing to realize the storage of the database, and finally it is used for the base wine inventory data of the enterprise.

[0056] The expression of the instantaneous amplitude corresponding to the electromagnetic wave receiving signal is: , in, Indicates the received signal strength corresponding to the electromagnetic wave received signal, The Hilbert-Huang transform value representing the received signal strength corresponding to the electromagnetic wave received signal, Indicates the instantaneous amplitude corresponding to the electromagnetic wave received signal.

[0057] For further examples, see Figure 7 The step of using a preset Hilbert-Huang transform algorithm to calculate and determine the signal characteristics corresponding to the electromagnetic wave received signal according to the received signal strength corresponding to the electromagnetic wave received signal comprises: Step S4001, obtaining a received signal strength corresponding to the electromagnetic wave received signal and a Hilbert-Huang transform value corresponding to the received signal strength; Step S4002, calculate and determine a second ratio between the received signal strength corresponding to the electromagnetic wave received signal and the Hilbert-Huang transform value corresponding to the received signal strength, and calculate and determine the inverse tangent function value corresponding to the second ratio to determine the instantaneous phase corresponding to the electromagnetic wave received signal.

[0058] Specifically, the expression of the instantaneous phase corresponding to the electromagnetic wave reception signal is: , in, Indicates the instantaneous phase corresponding to the electromagnetic wave receiving signal, Indicates the received signal strength corresponding to the electromagnetic wave received signal, The Hilbert-Huang transform value representing the received signal strength corresponding to the electromagnetic wave received signal.

[0059] For further examples, see Figure 8 The step of using a preset Hilbert-Huang transform algorithm to calculate and determine the signal characteristics corresponding to the electromagnetic wave received signal according to the received signal strength corresponding to the electromagnetic wave received signal comprises: Step S40001, obtaining a received signal strength corresponding to the electromagnetic wave received signal and an instantaneous phase corresponding to the electromagnetic wave received signal; Step S40002: Calculate and determine a first change rate between the instantaneous phase corresponding to the electromagnetic wave received signal and the received signal strength corresponding to the electromagnetic wave received signal, and calculate and determine a fifth product between the first change rate and a preset value to determine the instantaneous frequency corresponding to the electromagnetic wave received signal, wherein the preset value is .

[0060] Specifically, the expression of the instantaneous frequency corresponding to the electromagnetic wave reception signal is: , in, Indicates the instantaneous frequency corresponding to the electromagnetic wave receiving signal, Indicates the instantaneous phase corresponding to the electromagnetic wave receiving signal, Indicates the received signal strength corresponding to the electromagnetic wave received signal, Including the signal receiving strength corresponding to the first electromagnetic wave receiving signal and the signal reception strength corresponding to the second electromagnetic wave reception signal , It represents the differentiation of a variable, that is, the derivative.

[0061] Through the above formula, the instantaneous amplitude, instantaneous phase and instantaneous frequency corresponding to the electromagnetic wave reception signal can be calculated and determined, and the instantaneous amplitude, instantaneous phase and instantaneous frequency corresponding to the electromagnetic wave reception signal can be used to construct the signal characteristics corresponding to the electromagnetic wave reception signal as the data input of the alcohol detection model of the present application.

[0062] Step S50, using the signal characteristics corresponding to the first electromagnetic wave receiving signal, the signal characteristics corresponding to the second electromagnetic wave receiving signal and the first ratio as training samples to train an alcohol content detection model to predict the alcohol content corresponding to the base wine to be detected in the ceramic wine jar, so as to complete the alcohol content measurement of the base wine of the winery.

[0063] After calculating and determining the signal characteristics corresponding to the electromagnetic wave received signal based on the received signal strength corresponding to the electromagnetic wave received signal using the preset Hilbert-Huang transform algorithm, an alcohol content detection model is trained using the signal characteristics corresponding to the first electromagnetic wave received signal, the signal characteristics corresponding to the second electromagnetic wave received signal, and the first ratio as training samples to predict the alcohol content corresponding to the base wine to be detected in the ceramic wine jar, so as to complete the alcohol content measurement of the base wine in the winery, wherein the basic network architecture of the alcohol content detection model is a wide convolutional neural network, wherein the wide convolutional neural network includes a wide convolutional layer, a pooling layer, a fully connected layer and an output layer, and the wide convolutional layer, the pooling layer, the fully connected layer and the output layer are connected in sequence.

[0064] Specifically, see Fig. 9 , Fig. 9 It is an exemplary network structure of a wide convolutional neural network in an embodiment of the present application. In the input layer, the signal features corresponding to the first electromagnetic wave received signal and the second electromagnetic wave received signal, as well as the ratio between the received signal strengths of the first electromagnetic wave received signal and the second electromagnetic wave received signal are input. The convolution layer of the wide convolutional neural network (WDCNN) passes the signal features to the convolutional neural network for processing. The wide convolutional layer processes the input signal through multiple convolution kernels, which can automatically extract high-level features in the signal and help identify the relationship between the signal and the alcohol content. In particular, the first layer of large convolution kernels can extract large-scale features from the signal and suppress some noise (such as signals from ceramics and antenna interference). The advantage of the convolution operation is that it can process time series data and can automatically identify and remove irrelevant features. The pooling layer is used to reduce the dimensionality of the signal features after convolution and retain the most important information. The pooling layer usually reduces the dimension of the data by taking the maximum value or average value of the local area, avoids overfitting, and maintains key features. After convolution and pooling, the extracted features are passed to the fully connected layer, which is responsible for mapping the features of multiple convolutional layers to the final alcohol content. The output layer is the last layer of the network, which outputs the alcohol content value based on the previous processing results. Specifically, the output layer usually uses a regression model to output a continuous value representing the measurement result of the alcohol content of the base wine to be tested.

[0065] The alcohol detection model training samples of the present application are composed of the signal characteristics of the first electromagnetic wave receiving signal and the second electromagnetic wave receiving signal, the ratio between the received signal strength of the first electromagnetic wave receiving signal and the second electromagnetic wave receiving signal, and the corresponding actual alcohol content label. The input of each training sample is the signal characteristics of the first electromagnetic wave receiving signal and the second electromagnetic wave receiving signal, the ratio between the received signal strength of the first electromagnetic wave receiving signal and the second electromagnetic wave receiving signal, and the output is the alcohol content corresponding to the base wine to be detected.

[0066] Once the alcohol content detection model is trained, it can be put into production. It can accept the signal feature input of new base wine to be tested and predict the alcohol content of the base wine to be tested.

[0067] In some embodiments, in order to better fit the received signal strength and alcohol content. Since the Hilbert-Huang transform is based on the harmonic processing of trigonometric functions, and the first layer of large convolution kernels of the wide convolutional neural network (WDCNN) is trained through an optimization algorithm, its advantage is that it can automatically learn features oriented to signal strength and automatically remove features that are not helpful to the results. The main thing here is that the received signal strength is a complete transceiver process, which contains a large amount of non-base wine signal attenuation data such as ceramics and antenna interference. The use of a wide convolutional neural network can effectively remove this type of noise signal, so that the model can accurately locate the signal attenuation value after the base wine is absorbed, and further fit it to the alcohol content.

[0068] In some embodiments, see Fig.10 For the alcohol content data processing results of different wine jars, the wide convolutional neural network may have calculation deviations, but the alcohol content and the attenuation of the received signal are monotonic, so in this application, the isotonic regression method is used to achieve the alcohol content calibration of the base wine in the wine jar. , and alcohol direct measuring instrument measurement value , calculate a mapping function Minimize the following loss function, which is expressed as: , Among them, for monotonic data, the order is normally preserved: , Otherwise, there are discrete points (non-monotonic): , Then establish the current New distribution of sequences , , By iterating the sequence, if ,but Belong to the same distribution, Construct a distribution, and repeatedly expand, and finally achieve and Satisfies monotonicity, where It represents the standard deviation, which reflects the dispersion of the data.

[0069] For further examples, see Figures 11 to 13 ,in, Fig.11 A schematic diagram of a process of intercepting data of received signal strength in an embodiment of the present application; Fig.12 This is a schematic diagram of an RFID device performing alcohol content detection on multiple target base wines in an embodiment of the present application; Fig.13 Schematic diagram of RFID data reading and writing and edge computing in the embodiment of this application; In the enterprise deployment for multi-target base wine detection, due to the reflectivity between the base wine and the ceramic It is directly obtained through fast Fourier transform and Doppler algorithm. The distance calculation based on electromagnetic waves is a relatively mature algorithm. It is a simple scenario with small calculation amount in base wine detection. It is usually integrated in the electromagnetic wave chip. Therefore, the electromagnetic wave distance calculation result is directly used in this application. In alcohol detection, due to the need for a deep learning model, the initial length of the received signal strength is intercepted and the signal of the non-base wine absorption segment is removed to reduce the signal data transmission volume and improve the transmission efficiency of the RFID device.

[0070] It can be seen from the above embodiments that, compared with the prior art, the present application aims at the prior art that the alcohol content of base wine is measured by opening the lid of the wine jar, which causes volatilization of the base wine and operation loss, and at the same time, changing the storage atmosphere of the base wine may change the taste of the wine, and if the measuring instrument is short-circuited, overloaded, poorly contacted, or the battery is over-discharged, causing explosion and fire, it may cause the base wine to burn and cause a warehouse fire. The present application includes but is not limited to the following beneficial effects: First, the traditional methods for measuring the alcohol content of base wine (such as density bottle method, alcohol meter method, gas chromatography and digital density meter) require opening the lid or direct contact with the base wine, which not only causes the volatilization loss of the base wine, but also may change the atmosphere inside the wine jar and affect the taste of the wine. This application uses RFID technology for non-contact measurement, avoiding the need to open the wine jar, thereby minimizing the volatilization and loss of the base wine and maintaining the stability and flavor of the wine; Secondly, traditional alcohol content measuring equipment often needs to be operated with power on when base wine is stored (such as digital density meters or other electronic devices), which may cause electrical faults such as short circuits, overloads, and poor contact, and then cause safety accidents such as fires, especially in flammable and explosive environments with high alcohol content. This application uses RFID technology for non-contact measurement. RFID technology is a low-power wireless technology that does not rely on batteries or high voltage operations, so it can effectively eliminate safety hazards caused by electrical faults. This greatly reduces the risk of fire and other dangers for the base wine warehouse of the winery.

[0071] Third, when traditional wineries conduct base wine inventory, they usually use weighing scales to measure the base wine quality, which is especially difficult for heavy wine jars because earthenware wine jars are easily damaged and cumbersome to carry. This application uses RFID technology, which can achieve non-contact liquid level height and alcohol content measurement by installing RFID tags and combining sensors, without moving the wine jars or directly contacting the wine body, thus effectively avoiding damage and cumbersome operations. This technology not only simplifies the operation, but also reduces the consumption of manpower and material resources, thereby reducing the overall operating costs.

[0072] Fourthly, this application can realize real-time data collection of base wine jars through RFID technology, and information such as base wine alcohol content, liquid level, and jar ID can be automatically identified and uploaded through the RFID reader. These data can not only be stored locally, but also synchronized to a remote database for analysis and archiving. This method enables the winery to achieve real-time online and offline monitoring, providing more accurate and convenient data support for the management of alcohol content and liquid level, and helping to improve the winery's inventory management efficiency and production scheduling accuracy.

[0073] Fifth, in order to address the signal attenuation problem of base wine, this application adopts a wide convolutional neural network for alcohol content detection, which can effectively process the signal error caused by electromagnetic wave attenuation. The wide convolutional neural network optimizes the model through deep learning and can extract high-precision alcohol content data from complex signals. Combined with deep learning technology, the traditional model can be calibrated, especially for the special influence of materials such as ceramic wine jars on the signal, further improving the accuracy and stability of alcohol content detection.

[0074] Sixth, this application uses RFID technology, so that each wine jar can have a unique ID tag. Combining the wine jar ID with the stored data such as alcohol content and liquid level, accurate wine jar management can be achieved. RFID technology can not only help the winery track the status of each wine jar, but also improve the traceability of the wine jar, which is helpful for quality monitoring and traceability management. After the wine jar ID data is uploaded to the database, the winery staff can check the alcohol content and liquid level changes of each wine jar at any time and make timely adjustments.

[0075] Furthermore, the non-contact base wine detection solution based on RFID technology has significant advantages in reducing base wine loss, eliminating safety hazards, reducing labor costs, improving measurement accuracy and realizing data management. It not only improves the work efficiency of the winery, but also effectively reduces risks and costs, and promotes the development of intelligent and automated production in the winery. These beneficial effects make RFID technology an important technological breakthrough in modern alcohol measurement and base wine inventory management.

[0076] See also Fig.14, a device for measuring the alcohol content of base wine of a winery provided to meet one of the purposes of the present application, comprising a detection trigger module 1100, a received signal strength determination module 1200, a first ratio determination module 1300, a signal feature determination module 1400 and an alcohol content measurement module 1500. Among them, the detection trigger module 1100 is configured to respond to the instruction to measure the alcohol content of the base wine of the winery, trigger the RFID device to transmit an electromagnetic wave transmission signal to the base wine to be detected in the ceramic wine jar through a preset first antenna, and then return an electromagnetic wave reception signal, wherein the electromagnetic wave reception signal includes a first electromagnetic wave reception signal and a second electromagnetic wave reception signal; the received signal strength determination module 1200 is configured to calculate and determine the received signal strength corresponding to the electromagnetic wave reception signal according to the initial signal strength of the electromagnetic wave transmission signal, the attenuation value of the electromagnetic wave transmission signal under the preset wine jar ceramic thickness, the electromagnetic wave attenuation coefficient of the electromagnetic wave transmission signal in the base wine to be detected, and the propagation path length of the electromagnetic wave transmission signal in the base wine to be detected; the first ratio determination module 1300 is configured to calculate and determine the first electromagnetic wave reception signal. a first ratio between the received signal strength corresponding to the first electromagnetic wave received signal and the received signal strength corresponding to the second electromagnetic wave received signal; a signal feature determination module 1400, configured to use a preset Hilbert-Huang transform algorithm to calculate and determine the signal feature corresponding to the electromagnetic wave received signal according to the received signal strength corresponding to the electromagnetic wave received signal, wherein the signal feature is constructed by the instantaneous amplitude, instantaneous phase and instantaneous frequency corresponding to the electromagnetic wave received signal; an alcohol content measurement module 1500, configured to use the signal feature corresponding to the first electromagnetic wave received signal, the signal feature corresponding to the second electromagnetic wave received signal and the first ratio as training samples to train an alcohol content detection model to predict the alcohol content corresponding to the base wine to be detected in the ceramic wine jar, so as to complete the alcohol content measurement of the base wine of the winery.

[0077] Based on any embodiment of this application, please refer to Fig.15 Another embodiment of the present application further provides an electronic device, which can be implemented by a computer device, such as Fig.15As shown, a schematic diagram of the internal structure of a computer device. The computer device includes a processor, a computer-readable storage medium, a memory, and a network interface connected via a system bus. Among them, the computer-readable storage medium of the computer device stores an operating system, a database, and computer-readable instructions. The database may store a control information sequence. When the computer-readable instructions are executed by the processor, the processor can implement a method for measuring the alcohol content of a winery's base wine. The processor of the computer device is used to provide computing and control capabilities to support the operation of the entire computer device. The memory of the computer device may store computer-readable instructions. When the computer-readable instructions are executed by the processor, the processor can execute the method for measuring the alcohol content of a winery's base wine of the present application. The network interface of the computer device is used to connect and communicate with a terminal. Those skilled in the art will understand that Fig.15 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0078] In this embodiment, the processor is used to execute Fig.14 The memory stores the program codes and various data required to execute the above modules. The network interface is used to transmit data between user terminals or servers. The memory in this embodiment stores the program codes and data required to execute all modules in the alcohol content measuring device for base wine of the winery of this application, and the server can call the program codes and data of the server to execute the functions of all modules.

[0079] The present application also provides a storage medium storing computer-readable instructions. When the computer-readable instructions are executed by one or more processors, the one or more processors execute the steps of the method for measuring the alcohol content of the base wine of the winery described in any embodiment of the present application.

[0080] The present application also provides a computer program product, including a computer program / instruction, which, when executed by one or more processors, implements the steps of the method for measuring the alcohol content of the base wine of the winery described in any embodiment of the present application.

[0081] A person skilled in the art can understand that all or part of the processes in the above-mentioned embodiments of the present application can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, the aforementioned storage medium can be a computer-readable storage medium such as a disk, an optical disk, a read-only memory (ROM), or a random access memory (RAM).

[0082] The above is only a partial implementation method of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

[0083] In summary, the non-contact base wine detection solution based on RFID technology has significant advantages in reducing base wine loss, eliminating safety hazards, reducing labor costs, improving measurement accuracy and realizing data management. It not only improves the work efficiency of the winery, but also effectively reduces risks and costs, and promotes the development of intelligent and automated production in the winery. These beneficial effects make RFID technology an important technological breakthrough in modern alcohol measurement and base wine inventory management.

Claims

1. A method for measuring the alcohol content of base wine in a winery, characterized in that: include: In response to an instruction to measure the alcohol content of the base wine of the winery, the RFID device is triggered to transmit an electromagnetic wave transmission signal to the base wine to be detected in the ceramic wine jar through a preset first antenna, and then return an electromagnetic wave receiving signal, wherein the electromagnetic wave receiving signal includes a first electromagnetic wave receiving signal and a second electromagnetic wave receiving signal; The receiving signal strength corresponding to the electromagnetic wave receiving signal is calculated and determined according to the initial signal strength of the electromagnetic wave transmitting signal, the attenuation value of the electromagnetic wave transmitting signal under the preset ceramic thickness of the wine jar, the electromagnetic wave attenuation coefficient of the electromagnetic wave transmitting signal in the base wine to be detected, and the propagation path length of the electromagnetic wave transmitting signal in the base wine to be detected; Calculating and determining a first ratio between a received signal strength corresponding to the first electromagnetic wave received signal and a received signal strength corresponding to the second electromagnetic wave received signal; Using a preset Hilbert-Huang transform algorithm to calculate and determine a signal feature corresponding to the electromagnetic wave received signal according to a received signal strength corresponding to the electromagnetic wave received signal, wherein the signal feature is constructed by an instantaneous amplitude, an instantaneous phase, and an instantaneous frequency corresponding to the electromagnetic wave received signal; The alcohol content detection model is trained using the signal characteristics corresponding to the first electromagnetic wave receiving signal, the signal characteristics corresponding to the second electromagnetic wave receiving signal and the first ratio as training samples to predict the alcohol content corresponding to the base wine to be detected in the ceramic wine jar, so as to complete the alcohol content measurement of the base wine of the winery.

2. The method for measuring the alcohol content of base wine of a winery according to claim 1, characterized in that: The step of calculating and determining the received signal strength corresponding to the electromagnetic wave received signal according to the initial signal strength of the electromagnetic wave transmitted signal, the attenuation value of the electromagnetic wave transmitted signal under a preset wine jar ceramic thickness, the electromagnetic wave attenuation coefficient of the electromagnetic wave transmitted signal in the base wine to be detected, and the propagation path length of the electromagnetic wave transmitted signal in the base wine to be detected comprises: Obtaining the initial signal strength of the electromagnetic wave transmission signal, the attenuation value of the electromagnetic wave transmission signal under a preset wine jar ceramic thickness, the electromagnetic wave attenuation coefficient of the electromagnetic wave transmission signal in the base wine to be detected, the propagation path length of the electromagnetic wave transmission signal in the base wine to be detected, the attenuation coefficient of each unit path segment of the electromagnetic wave transmission signal in the base wine to be detected, the propagation distance of each unit path segment of the electromagnetic wave transmission signal in the base wine to be detected, the transmission coefficient product of the first antenna, and the adjustment factor; Calculate and determine a first product between an electromagnetic wave attenuation coefficient of the electromagnetic wave emission signal in the base wine to be detected and a propagation path length of the electromagnetic wave emission signal in the base wine to be detected, and calculate and determine a first natural exponential function value with a negative value of the first product as an exponent; Calculate and determine a second product between the attenuation coefficient of each unit path segment of the electromagnetic wave emission signal in the base wine to be detected and the propagation distance of each unit path segment of the electromagnetic wave emission signal in the base wine to be detected, calculate and determine a second natural exponential function value with the negative value of the second product as an exponent, and calculate and determine the cumulative attenuation value of multiple unit path segments of the electromagnetic wave emission signal in the base wine to be detected according to the second natural exponential function value; The attenuation value of the electromagnetic wave transmission signal at a preset wine jar ceramic thickness, the first natural exponential function value, the cumulative attenuation value of the electromagnetic wave transmission signal in multiple unit path segments in the base wine to be detected, the product of the transmission coefficient of the first antenna, the adjustment factor and the third product of the initial signal strength of the electromagnetic wave transmission signal are calculated to determine the receiving signal strength corresponding to the electromagnetic wave receiving signal.

3. The method for measuring the alcohol content of base wine of a winery according to claim 2, characterized in that: The step of calculating and determining a first ratio between a received signal strength corresponding to the first electromagnetic wave received signal and a received signal strength corresponding to the second electromagnetic wave received signal comprises: Obtaining a first natural exponential function value with the negative value of the first product as an exponent and a cumulative attenuation value of a plurality of unit path segments of the electromagnetic wave emission signal in the base wine to be detected; Calculate and determine the fourth product between the first natural exponential function value and the cumulative attenuation value of multiple unit path segments of the electromagnetic wave transmission signal in the base wine to be detected, so as to determine the first ratio between the received signal strength corresponding to the first electromagnetic wave received signal and the received signal strength corresponding to the second electromagnetic wave received signal.

4. The method for measuring the alcohol content of base wine of a winery according to claim 1, characterized in that: The step of calculating and determining the signal characteristics corresponding to the electromagnetic wave received signal according to the received signal strength corresponding to the electromagnetic wave received signal by using a preset Hilbert-Huang transform algorithm comprises: Acquire a received signal strength corresponding to the electromagnetic wave received signal and a Hilbert-Huang transform value corresponding to the received signal strength; Calculate and determine a first square value of a received signal strength corresponding to the electromagnetic wave received signal and a second square value of a Hilbert-Huang transform value corresponding to the received signal strength; A first sum value between the first square value and the second square value is calculated and determined, and a first square root value of the first sum value is calculated and determined to determine an instantaneous amplitude corresponding to the electromagnetic wave reception signal.

5. The method for measuring the alcohol content of base wine of a winery according to claim 1, characterized in that: The step of calculating and determining the signal characteristics corresponding to the electromagnetic wave received signal according to the received signal strength corresponding to the electromagnetic wave received signal by using a preset Hilbert-Huang transform algorithm comprises: Acquire a received signal strength corresponding to the electromagnetic wave received signal and a Hilbert-Huang transform value corresponding to the received signal strength; A second ratio between the received signal strength corresponding to the electromagnetic wave received signal and the Hilbert-Huang transform value corresponding to the received signal strength is calculated and determined, and an inverse tangent function value corresponding to the second ratio is calculated and determined to determine the instantaneous phase corresponding to the electromagnetic wave received signal.

6. The method for measuring the alcohol content of base wine of a winery according to claim 1, characterized in that: The step of calculating and determining the signal characteristics corresponding to the electromagnetic wave received signal according to the received signal strength corresponding to the electromagnetic wave received signal by using a preset Hilbert-Huang transform algorithm comprises: Acquire a received signal strength corresponding to the electromagnetic wave received signal and an instantaneous phase corresponding to the electromagnetic wave received signal; Calculate and determine a first change rate between the instantaneous phase corresponding to the electromagnetic wave reception signal and the received signal strength corresponding to the electromagnetic wave reception signal, and calculate and determine a fifth product between the first change rate and a preset value to determine the instantaneous frequency corresponding to the electromagnetic wave reception signal, wherein the preset value is .

7. The method for measuring the alcohol content of base wine of a winery according to any one of claims 1 to 6, characterized in that: The basic network architecture of the alcohol detection model is a wide convolutional neural network, wherein the wide convolutional neural network includes a wide convolutional layer, a pooling layer, a fully connected layer and an output layer, and the wide convolutional layer, the pooling layer, the fully connected layer and the output layer are connected in sequence.

8. A device for measuring the alcohol content of base wine in a winery, characterized in that: include: The detection trigger module is configured to respond to an instruction to measure the alcohol content of the base wine of the winery, trigger the RFID device to transmit an electromagnetic wave transmission signal to the base wine to be detected in the ceramic wine jar through a preset first antenna, and then return an electromagnetic wave reception signal, wherein the electromagnetic wave reception signal includes a first electromagnetic wave reception signal and a second electromagnetic wave reception signal; A received signal strength determination module is configured to calculate and determine the received signal strength corresponding to the electromagnetic wave received signal according to the initial signal strength of the electromagnetic wave transmitted signal, the attenuation value of the electromagnetic wave transmitted signal under a preset wine jar ceramic thickness, the electromagnetic wave attenuation coefficient of the electromagnetic wave transmitted signal in the base wine to be detected, and the propagation path length of the electromagnetic wave transmitted signal in the base wine to be detected; A first ratio determination module, configured to calculate and determine a first ratio between a received signal strength corresponding to the first electromagnetic wave received signal and a received signal strength corresponding to the second electromagnetic wave received signal; A signal feature determination module, configured to use a preset Hilbert-Huang transform algorithm to calculate and determine a signal feature corresponding to the electromagnetic wave received signal according to a received signal strength corresponding to the electromagnetic wave received signal, wherein the signal feature is constructed by an instantaneous amplitude, an instantaneous phase, and an instantaneous frequency corresponding to the electromagnetic wave received signal; The alcohol content measurement module is configured to use the signal characteristics corresponding to the first electromagnetic wave receiving signal, the signal characteristics corresponding to the second electromagnetic wave receiving signal and the first ratio as training samples to train an alcohol content detection model, so as to predict the alcohol content corresponding to the base wine to be detected in the ceramic wine jar, so as to complete the alcohol content measurement of the base wine of the winery.

9. An electronic device, comprising a central processing unit and a memory, characterized in that: The central processing unit is used to call and run the computer program stored in the memory to execute the steps of the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: It stores a computer program implemented according to the method described in any one of claims 1 to 7 in the form of computer-readable instructions, and when the computer program is called and executed by a computer, the steps included in the corresponding method are executed.

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