An electronic price tag positioning feedback and warning method and system

Abstract

The present invention relates to the field of electronic price tag management, and particularly to a method and system for electronic price tag positioning feedback and warning. The method obtains multi-modal sensor data and transmits it to a data processing module for real-time data analysis and environmental perception; uses image recognition and sensor data fusion technology to accurately calculate the position of the electronic price tag and generate positioning feedback information; performs anomaly detection based on the feedback information to determine whether there is a display deviation and generates a warning signal; uses an intelligent decision-making algorithm to calculate the optimal adjustment strategy, generates an adjustment command, and guides merchants to perform adjustment operations; uploads the adjustment strategy and real-time monitoring data to a cloud platform for data synchronization and centralized management, supporting cross-platform remote monitoring and optimization. Through the technical solution of the present invention, the position of the electronic price tag can be monitored in real time and accurately adjusted, ensuring the accuracy of the displayed content, improving the management efficiency of the electronic price tag and the customer experience, reducing manual intervention, and optimizing merchant operations.

Description

Technical Field

[0001] The present invention relates to the technical field of electronic price tag management, and particularly to an electronic price tag positioning feedback and warning method and system. Background Art

[0002] With the development of intelligent retail, electronic price tags have become widely used commodity information display tools in retail environments such as shopping malls and supermarkets. Electronic price tags can update product prices, promotional information, and other content in real time, improving the efficiency and accuracy of information display. However, in complex retail environments, the accurate display of electronic price tags faces many challenges. Electronic price tags may shift in position due to factors such as changes in shelves, ambient light, and viewing angle changes, resulting in inaccurate display content or inconsistencies with actual products, which has a negative impact on the customer shopping experience and merchant management.

[0003] Currently, existing electronic price tag management systems usually rely on manual inspections or simple positioning technologies, and cannot detect and correct the position and display content of electronic price tags in real time and accurately. In some cases, merchants can only make manual adjustments after discovering display errors, which not only wastes human resources but also may lead to incorrect display of product information for a long time, affecting sales and customer satisfaction. Therefore, how to achieve automatic positioning, real-time feedback, and intelligent adjustment of electronic price tags has become an important technical problem in retail management.

[0004] To address this challenge, some electronic price tag positioning methods based on image recognition or sensor technology have been proposed in the prior art, but these methods have problems such as insufficient accuracy and response delay in dynamic and complex environments. How to accurately locate electronic price tags in real time and give timely warnings based on multi-modal data (such as image data and sensor data) in complex retail environments is a major problem in current technology.

[0005] Based on this background, the present invention proposes an innovative electronic price tag positioning feedback and warning method and system, which solves the problems of real-time positioning, display accuracy, and automatic adjustment of electronic price tags by combining image recognition, sensor data fusion, and intelligent decision-making algorithms. Summary of the Invention

[0006] The present invention provides an electronic price tag positioning feedback and warning method and system to solve the problem of how to locate the position of an electronic price tag in real time based on multi-modal data in a complex retail environment, perform feedback and warning, ensure accurate display of the electronic price tag, and make timely adjustments to avoid display errors and position deviations.

[0007] To solve the above technical problems, the present invention provides an electronic price tag positioning feedback and warning method, including:

[0008] Obtain multi-modal sensor data and transmit the data to a data processing module for preliminary data analysis and provide real-time environmental perception;

[0009] Utilize image recognition and sensor data fusion technology to accurately calculate the position of the electronic price tag and generate positioning feedback information;

[0010] Conduct anomaly detection based on the positioning feedback information, determine whether there is a display deviation in the electronic price tag, and generate a warning signal through a preset threshold;

[0011] Use an intelligent decision-making algorithm to calculate the optimal adjustment strategy based on the warning signal and feedback information, generate an adjustment command, and guide the merchant to execute the adjustment operation;

[0012] Upload the adjustment strategy and real-time monitoring data to the cloud platform for data synchronization and centralized management, and support cross-platform remote monitoring and optimization.

[0013] Further, the step of obtaining multi-modal sensor data includes:

[0014] Collect image data of the location where the electronic price tag is located through a camera;

[0015] Obtain data such as the position information of the electronic price tag, environmental temperature and humidity, and light intensity through sensor devices;

[0016] Synchronously transmit the image data and sensor data to the data processing module for subsequent processing.

[0017] Further, the step of calculating the position of the electronic price tag by utilizing image recognition and sensor data fusion technology specifically includes:

[0018] Analyze the image data through an image recognition algorithm to identify the preliminary position and posture of the electronic price tag;

[0019] Optimize based on sensor data and further correct the actual position of the electronic price tag to obtain the final positioning result.

[0020] Further, the step of calculating the positioning result based on image recognition and sensor data fusion technology includes:

[0021] Perform weighted fusion on the preliminary position coordinates of the electronic price tag obtained through image recognition and the position information in the sensor data to obtain the corrected accurate position.

[0022] Further, the step of conducting anomaly detection based on the positioning feedback information includes:

[0023] Compare the positioning feedback information with the preset standard position, and calculate the deviation value between the actual position and the standard position of the electronic price tag;

[0024] Determine whether the deviation value exceeds a preset threshold. If it exceeds the threshold, trigger an early warning signal.

[0025] Furthermore, the step of determining whether the deviation value exceeds the preset threshold further includes:

[0026] If the deviation value exceeds the threshold, generate an early warning signal and transmit the signal to the decision-making module for further calculation of adjustment strategies.

[0027] Furthermore, the step of calculating the optimal adjustment strategy using the intelligent decision-making algorithm includes:

[0028] According to the early warning signal and feedback information, combined with the actual position and target position of the electronic price tag, calculate the optimal adjustment path and adjustment amount;

[0029] Generate an adjustment command to guide the merchant to adjust the electronic price tag.

[0030] Furthermore, the step of uploading the adjustment strategy and real-time monitoring data to the cloud platform includes:

[0031] Upload the adjustment strategy and the real-time status data of the electronic price tag to the cloud computing platform for data storage and processing;

[0032] Through the cloud platform, synchronously manage the electronic price tags of multiple stores to achieve cross-platform remote monitoring and optimization.

[0033] Furthermore, the step of real-time synchronizing the electronic price tag data of multiple stores through the cloud platform includes:

[0034] Upload the electronic price tag data of each store to the cloud platform for unified storage and synchronization to ensure that the status of the electronic price tags in each store is consistent, and support remote adjustment and management.

[0035] Furthermore, an electronic price tag positioning feedback early warning system, the system includes:

[0036] A data acquisition module for obtaining real-time data related to the electronic price tag from multiple data sources, including collecting image data and environmental data through cameras and sensor devices installed in the store environment;

[0037] A data processing module for preliminarily processing the collected data, including operations such as data cleaning, denoising, missing value filling, and format standardization;

[0038] A positioning calculation and feedback module for using image recognition algorithms and sensor data fusion technologies to perform real-time positioning calculations of the electronic price tag and generate positioning feedback information;

[0039] Anomaly detection and warning module, which is used to compare with a preset standard position based on the positioning feedback information, detect the deviation between the actual position and the standard position of the electronic price tag, and generate a warning signal when the deviation exceeds a preset threshold;

[0040] Decision-making and adjustment strategy module, which is used to calculate the adjustment strategy of the electronic price tag using an intelligent decision-making algorithm according to the warning signal and feedback information, and generate an adjustment command to guide merchants or automatic devices to adjust the position of the electronic price tag;

[0041] Cloud platform and data management module, which is used to upload the adjustment strategy and real-time monitoring data to the cloud platform for cross-platform data synchronization and centralized management, and support remote monitoring and optimization;

[0042] User interaction and visualization module, which is used to provide an intuitive user interface, display the positioning feedback, warning information and adjustment suggestions of the system, and support interactive operations;

[0043] System monitoring and adaptive optimization module, which is used to continuously monitor the running state of the system and automatically optimize the system parameters according to the feedback information.

[0044] The key innovation points of the present invention include:

[0045] (1) Multi-modal data fusion: By combining the fusion technology of image recognition and sensor data, precise positioning of the electronic price tag is achieved, solving the problem of insufficient accuracy of single sensor technology.

[0046] (2) Real-time positioning and feedback warning: Combining the image recognition algorithm and sensor data, the position of the electronic price tag can be calculated in real time and feedback information can be generated. By comparing the standard position with the actual position, the system can automatically trigger the warning mechanism to ensure the accuracy of the display content of the electronic price tag.

[0047] (3) Intelligent decision-making and automatic adjustment strategy: Using an intelligent decision-making algorithm, the optimal adjustment strategy is calculated according to the real-time positioning and feedback information, and an adjustment command is automatically generated to guide merchants or devices to make precise adjustments.

[0048] The following are its main beneficial effects:

[0049] The electronic price tag positioning feedback and warning method provided by the present invention combines multi-modal sensor data and image recognition technology to accurately calculate the real-time position of the electronic price tag and perform feedback and warning, greatly improving the intelligent level of electronic price tag management. Compared with traditional manual inspections or simple positioning technologies, the present invention avoids the delays and errors of manual intervention through automated positioning and anomaly detection, and can timely detect and automatically generate adjustment commands when the electronic price tag deviates. Especially through the centralized management and remote monitoring functions of the cloud platform, the electronic price tags of multiple stores can be synchronized and optimized in real time, significantly improving the operation efficiency and reducing the operation cost. Compared with traditional methods, the present invention effectively reduces the display errors caused by the position deviation of the electronic price tag, optimizes the customer experience, and improves the operation benefits of merchants. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 It is a schematic flow chart of an electronic price tag positioning feedback and warning method provided by an embodiment of the present application;

[0051] Figure 2 It is a structural block diagram of an electronic price tag positioning feedback and warning system provided by an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0052] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those of ordinary skill in the technical field to which this application belongs; the terms used in the specification of this application are only for the purpose of describing specific embodiments, and are not intended to limit this application; the terms "including" and "having" and any variations thereof in the specification and claims of this application and the above drawings are intended to cover non-exclusive inclusion. The terms "first", "second", etc. in the specification and claims of this application or the above drawings are used to distinguish different objects, not to describe a specific order.

[0053] Referring to "embodiment" herein means that a specific feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of this application. The phrase does not necessarily refer to the same embodiment at every occurrence in the specification, nor is it an independent or alternative embodiment mutually exclusive with other embodiments. Those skilled in the art will explicitly and implicitly understand that the embodiments described herein can be combined with other embodiments.

[0054] Embodiment 1: Refer to Figure 1 , which is a schematic flow chart of an electronic price tag positioning feedback and warning method provided by an embodiment of the present invention. The process can at least include steps S100 - S500:

[0055] S100. Obtain multi-modal sensor data and transmit it to the data processing module for preliminary data analysis to provide real-time environmental perception.

[0056] S200. Use image recognition and sensor data fusion technology to accurately calculate the position of the electronic price tag and generate positioning feedback information.

[0057] S300. Conduct anomaly detection based on the positioning feedback information, determine whether there is a display deviation, and generate a warning signal through a preset threshold.

[0058] S400. Use an intelligent decision-making algorithm to calculate the optimal adjustment strategy based on the warning signal and feedback information, generate an adjustment command, and guide the merchant to execute the adjustment operation.

[0059] S500. Upload the adjustment strategy and real-time monitoring data to the cloud platform for data synchronization and centralized management, supporting cross-platform remote monitoring and optimization.

[0060] Step S100 at least includes steps S110 - S130:

[0061] S110. Collect real-time images through a camera installed in the store environment, obtain image information of the position where the electronic price tag is located, and transmit the image data to the data processing module for analysis.

[0062] In the store environment, the camera regularly collects real-time image data including the position where the electronic price tag is located according to the preset position and angle. Specifically, the camera set at positions such as commodity shelves and display areas takes images of the area containing the electronic price tag. The image data includes information such as the display content, position, and posture of the electronic price tag, and the captured image data can be further analyzed through image recognition algorithms. During this process, the image data is transmitted from the camera system to the data processing module.

[0063] The said image data is transmitted to the data processing module through the network. After receiving the image data, the data processing module conducts preliminary image preprocessing, such as denoising and enhancing contrast, to ensure that the image quality is suitable for subsequent positioning calculations. The preprocessed image data will be used as the input data for subsequent positioning calculations.

[0064] Data processing: Through image processing technologies such as color, texture, and edge recognition of the image, extract the position features of the electronic price tag in the image to obtain the spatial position of the electronic price tag in the image. This step will obtain position coordinate parameters (for example, x i , y i ) for positioning calculations in subsequent steps. After the transmission and processing of the image data are completed, the result will be passed to the next step (S120) to continue multi-modal data fusion and processing.

[0065] S120. Obtain data such as the location information, environmental temperature and humidity, and light intensity of the electronic price tag through RFID and Bluetooth sensor devices, and transmit the sensor data to the data processing module for further processing.

[0066] Obtain sensor data: Through RFID and Bluetooth sensor devices, real-time obtain data such as the location information, environmental temperature and humidity, and light intensity of the electronic price tag. Specifically, through the RFID sensors installed in the store environment, obtain the accurate location information of the electronic price tag, such as the location coordinates (x rfid , y rfid ). At the same time, the Bluetooth sensor provides the specific location information of the electronic price tag in the store (x b t, y b t). These sensor data can effectively supplement the location information that may be missing in the camera data. Especially in complex environments, the accuracy of positioning can be improved through multi-modal data fusion.

[0067] Obtain environmental data: Through sensor devices (such as temperature and humidity sensors, light intensity sensors), obtain environmental data related to the electronic price tag (such as temperature T, humidity H, light intensity L). These environmental data have a certain impact on the subsequent positioning accuracy adjustment and the functional stability of the electronic price tag.

[0068] Data transmission: The RFID, Bluetooth sensors, and environmental data are transmitted to the data processing module in real time. In the data processing module, the sensor data will be formatted, cleaned, and time-synchronized with the aforementioned image data to ensure that all data can work together during subsequent positioning calculations to ensure positioning accuracy.

[0069] S130. Transmit the image data and sensor data obtained through S110 and S120 to the data processing module for preliminary data cleaning and merging, so as to prepare for subsequent positioning calculations and feedback processing.

[0070] In the S110 module, the image data collected by the camera and the sensor data (RFID, Bluetooth, and environmental data) obtained in the S120 module will be transmitted to the data processing module. Specifically, the data processing module first preprocesses the data from different sources, removes noise and redundant information, and unifies the format. Operations such as formatting the image data and calibrating the sensor data are all to ensure the accuracy of subsequent data fusion.

[0071] Furthermore, the data processing module performs time synchronization processing. By aligning the timestamps of each acquisition device (such as the image acquisition timestamp and the sensor data timestamp), ensure the consistency of the timeliness of the image data and the sensor data, and avoid positioning deviations caused by time errors.

[0072] After removing outliers through data cleaning, the image data is fused with the sensor data. Specifically, the position information in the sensor data is used to correct the positioning in the image data, and the image data is compensated in combination with environmental information (such as temperature and humidity, light intensity, etc.) to improve the positioning accuracy. Finally, the data after cleaning and fusion forms a comprehensive multi-modal dataset, providing sufficient input for subsequent positioning calculations and feedback processing.

[0073] After the above steps, the data processing module will output a set of cleaned and fused positioning data (such as x combined , y combined ) as the input to the S200 module. These data will be used for subsequent positioning calculations (S210, S220) and anomaly detection to ensure that the position of the electronic price tag is accurately calculated and monitored.

[0074] Connection description: The image data obtained in step S110 and the sensor data obtained in step S120 will be merged through S130. The image data provides the approximate position of the electronic price tag in S110, while the sensor data (such as RFID, Bluetooth, etc.) provides more accurate positioning information. The combination of the two ensures the complementarity and accuracy of the data.

[0075] The fused data (such as x combined , y combined ) output by step S130 will be the input to the image recognition algorithm and sensor data fusion technology in S200, and will be further used to accurately calculate the position of the electronic price tag.

[0076] The data fusion processing in this part is based on the image data, sensor data and their timestamp synchronization results obtained in the previous steps, ensuring that the subsequent positioning calculation (S200) is not affected by data conflicts and errors.

[0077] Step S200 includes at least steps S210 - S230:

[0078] S210. Analyze the image data transmitted by the S100 module through the image recognition algorithm, identify the specific position and posture of the electronic price tag, and obtain the accurate position coordinates of the electronic price tag in the store environment.

[0079] Based on the image data transmitted by the S100 module, first preprocess the image, including denoising, enhancing contrast, filtering, etc., to ensure that the quality of the image is suitable for positioning calculation. Specifically, use an edge detection algorithm (such as Canny edge detection) to extract the edge features of the electronic price tag in the image, and compare them with a known template through feature point matching technology to identify the boundary of the electronic price tag.

[0080] After extracting the edge features of the electronic price tag, the pose of the electronic price tag relative to the camera view is calculated through feature matching and perspective transformation algorithms. Specifically, using the PnP (Perspective-n-Point) algorithm, combined with the camera's internal and external parameters, the three-dimensional position coordinates (x img , y img , z img ) of the electronic price tag are calculated, that is, the position of the electronic price tag in the store environment. This position coordinate is calculated based on the image data and is used for subsequent precise positioning by fusing sensor data.

[0081] After obtaining the three-dimensional coordinates of the electronic price tag, positioning feedback information (such as (x img , y img , z img ) is generated. This information will be transmitted to the S220 module to further fuse with the sensor data to correct possible errors in the image recognition process and improve the positioning accuracy.

[0082] Based on the sensor data transmitted by the S120 module, the S220 further optimizes the positioning information of the electronic price tag using the positioning algorithm and corrects the positioning deviation caused by environmental interference or errors.

[0083] The sensor data obtained from the S120 module includes RFID positioning data, Bluetooth positioning data, and environmental data (such as temperature, humidity, light intensity, etc.). These sensor data provide position correction information for the electronic price tag. Specifically, based on the RFID positioning algorithm, the rough position coordinates of the electronic price tag can be corrected by distance measurement to obtain the precise position (x rfid , y rfid ), and the Bluetooth positioning algorithm further improves the positioning accuracy through triangulation to obtain more precise position coordinates (x b t, y b t).

[0084] After obtaining the image position (x img , y img , z img ) and the sensor position (x rfid , y rfid ), the weighted average fusion technique is used to fuse these data. Specifically, by setting weight coefficients (such as w img and w rfid ), the image positioning data and sensor data are weighted and averaged for correction:

[0085] (x fused , y fused , z fused ) = w img ×(x img , yimg , z img ) + w rfid ×(x rfid , y rfid ),

[0086] Among them, w img and w rfid are weight coefficients, respectively representing the relative reliability of image data and sensor data, and x fused , y fused , z fused are the position coordinates of the electronic price tag after final fusion.

[0087] After the fusion of sensor data and image data, the finally corrected position of the electronic price tag (x fused , y fused ) is obtained, and this position coordinate will be used as the input of the S230 module to further generate real-time positioning feedback information.

[0088] S230. Generate real-time positioning feedback information of the electronic price tag according to the image recognition and sensor data fusion results of S210 and S220, and transmit this information to the warning module for further processing.

[0089] According to the results of S210 and S220, the positioning coordinates (x fused , y fused ) after the fusion of image recognition and sensor data are used as the real-time position feedback information of the electronic price tag. This feedback information includes the current position coordinates, attitude information, and possible error range of the electronic price tag. Specifically, in combination with the real-time monitored environmental data (such as temperature, humidity, light, etc.), calculate and mark the error range to generate positioning feedback data with error tolerance.

[0090] Format the generated positioning feedback information to ensure that it meets the data format requirements received by the warning module. Specifically, pack and encode the feedback information (such as (x fused , y fused , z fused ), error range, etc.) into a specific format and transmit it to the warning module through the data transmission protocol. This data will be used as the basis for subsequent judgment of whether there is a display deviation.

[0091] Through the data transmission system, transmit the positioning feedback information to the warning module of the S300 module. This module will perform further anomaly detection and warning generation according to the real-time position of the electronic price tag and the deviation threshold to ensure the position and display accuracy of the electronic price tag.

[0092] Connection description: The preliminary position (x img , y img,z img ), optimize and correct through sensor data in module S220 to obtain the final position of the electronic price tag (x fused ,y fused ), and transmit it to module S230.

[0093] In module S230, the final positioning feedback information (including the position, attitude, and error range of the electronic price tag) will be transmitted as input to module S300 for subsequent warning signal generation.

[0094] Step S300 at least includes steps S310 - S330:

[0095] S310. Compare the positioning feedback information generated by module S200 with the preset standard position to detect the deviation between the actual position and the standard position of the electronic price tag.

[0096] In this implementation process, the standard position refers to the predetermined or target position of the electronic price tag in the store environment. This standard position can be determined by factors such as store layout, store location, shelves, etc., and is set through data such as environmental information and installation information of the electronic price tag in module S100. Specifically, the standard position is a set of coordinates (x0, y0, z0), representing the target position of the electronic price tag in the store.

[0097] In module S200, after image recognition and sensor data fusion, the actual position coordinates of the electronic price tag (x fused ,y fused ,z fused ) are obtained, which is the real-time positioning information of the electronic price tag in the store. Specifically, using the Euclidean distance formula, calculate the deviation between the standard position (x0, y0, z0) and the actual position (x fused ,y fused ,z fused ):

[0098] ,

[0099] where D represents the Euclidean distance deviation between the actual position and the standard position of the electronic price tag. This deviation value D will be used as the basis for subsequent judgment of whether there is a display deviation.

[0100] The deviation D obtained through the above calculation will be used as the input information for detecting the display deviation of the electronic price tag and transmitted to module S320 for deviation range judgment. If D is less than the predetermined threshold, it means that the display position is within the tolerance range, otherwise, enter the abnormal detection process.

[0101] S320. Judge whether the display position of the electronic price tag exceeds the allowable range through the set deviation threshold. If the deviation exceeds the threshold, trigger the warning mechanism.

[0102] In the S320 module, a predetermined deviation threshold T is set to determine whether the display position of the electronic price tag is within the allowable range. This threshold T is a parameter adjustable in actual applications and is usually set according to the store environment and the size of the electronic price tag. Specifically, T can be set to a certain value, such as 10 cm, 20 cm, etc., or adjusted dynamically according to environmental conditions.

[0103] The deviation D calculated according to S310 is compared with the set deviation threshold T. If D > T, it means that the position of the electronic price tag exceeds the allowable range and the warning mechanism needs to be triggered. At this time, there is a deviation in the display of the electronic price tag, which may affect the shopping experience of consumers and needs to be adjusted.

[0104] If the deviation D exceeds the set threshold T, a deviation alarm is generated and this information is passed as an input to the S330 module to further generate a warning signal.

[0105] S330: If it is detected that the display position of the electronic price tag has a deviation and exceeds the threshold, a warning signal is generated and the signal is passed to the decision-making module for subsequent adjustment strategy formulation.

[0106] After the S320 module determines that the position deviation of the electronic price tag exceeds the threshold T, the system will automatically trigger the warning mechanism and generate a warning signal. The warning signal usually includes the position deviation information of the electronic price tag, the deviation value D, a prompt for exceeding the threshold, etc. Specifically, the warning signal can adopt a standard format, such as:

[0107] Alert Signal={D,T,Status=Out of Range},

[0108] where D represents the deviation value, T is the threshold, and the Status field is the warning status (such as "out of range").

[0109] The generated warning signal will be passed to the decision-making module of the S400 module. The decision-making module will formulate an appropriate adjustment strategy based on the position deviation information of the electronic price tag, the deviation value, etc. included in the warning signal. This signal provides the necessary information support for subsequent adjustment operations.

[0110] The warning signal generated by the S330 module not only reminds the system administrator or merchant that there is a position deviation of the electronic price tag, but also provides a basis for subsequent adjustment operations. The decision-making module will formulate an adjustment plan based on this information to guide the merchant to take appropriate measures to restore the normal display of the electronic price tag.

[0111] Connection description: The actual position deviation D calculated in S310 will be compared with the deviation threshold T in the S320 module to determine whether it exceeds the allowable range.

[0112] If the deviation exceeds the threshold, a warning signal is generated in S320 and transmitted to the S330 module for decision support. The S330 module then generates a final warning signal and transmits it to the subsequent decision-making module to provide a basis for adjusting the strategy.

[0113] Step S400 includes at least steps S410 - S430:

[0114] S410. Receive the generated warning signal from the S300 module, analyze it according to the feedback information, and determine whether the electronic price tag needs to be adjusted.

[0115] Warning signal reception and analysis: The warning signal received by the system from the S300 module contains the following information:

[0116] Deviation value D: The Euclidean distance between the electronic price tag and the standard position,

[0117] ,

[0118] Threshold T: The tolerance range of the display position.

[0119] Status flag S status : Such as "out of range" or "normal".

[0120] Based on the deviation value D in the received warning signal, the system compares this value with the deviation threshold T. Specifically, if the following condition is met: D > T,

[0121] It indicates that the display position of the electronic price tag deviates from the standard position and adjustment operations are required. Otherwise, the display position is normal, no adjustment is needed, and the operation of this module ends.

[0122] Adjustment type identification: If it is determined that adjustment operations are required, the system further identifies the type of adjustment required based on the deviation value D and the direction data of the electronic price tag, including horizontal movement, vertical movement, or angular rotation adjustment. This information will be used as the input for generating the adjustment strategy in the next module (S420).

[0123] S420. Based on the received warning signal and feedback information, use an intelligent decision-making algorithm to calculate the optimal adjustment strategy for the electronic price tag.

[0124] Based on the deviation data in the warning signal, the system selects an applicable adjustment decision model according to the historical adjustment records and environmental information. This model can include a multi-objective optimization model or a weighted least squares model.

[0125] The system calculates the optimal adjustment path of the electronic price tag based on an optimal path algorithm (such as the A algorithm or Dijkstra algorithm), combined with environmental data and shelf position data. The adjustment strategy calculation formula is as follows:

[0126] Δx = x0 - x fused , Δy = y0 - y fused , Δθ = θ0 - θ fused ,

[0127] Among them, Δx and Δy represent the horizontal and vertical position adjustment amounts of the electronic price tag; Δθ represents the angular rotation adjustment amount, which calculates the difference between the rotation angle of the electronic price tag in the current display and the standard direction.

[0128] The system further considers environmental information (such as temperature, humidity, light intensity, etc.) and corrects the above adjustment amounts. The specific formula is as follows:

[0129] Δx adj = w env ×Δx, Δy adj = w env ×Δy,

[0130] Among them, w env is the environmental correction coefficient, which represents the influence of environmental data on the adjustment strategy. The corrected adjustment amounts Δx adj, Δy adj will be used as the input data for the final adjustment command.

[0131] S430. Generate an adjustment command for the electronic price tag according to the calculated adjustment strategy to guide the merchant to perform the adjustment operation of the electronic price tag to restore normal display.

[0132] According to the adjustment strategy calculated in the S420 module, the system converts it into a standardized adjustment command format. An example is as follows:

[0133] Adjust_Cmd = {Δx adj , Δy adj , Δθ, Timestamp, Priority},

[0134] Among them, Δx adj , Δy adj represent the horizontal and vertical adjustment amounts; Δθ represents the rotation adjustment angle;

[0135] Timestamp represents the timestamp when the command is generated; Priority represents the priority of the adjustment command, and the higher the value, the higher the priority for processing.

[0136] Send the standardized adjustment command to the execution terminal or the merchant management terminal through the wireless communication protocol. If the store uses an automatic adjustment device (such as a smart robotic arm or an automatic shelf management system), the adjustment command will directly drive the device to complete the positioning adjustment operation of the electronic price tag.

[0137] After the adjustment operation is completed, the system will automatically perform a confirmation check to ensure that the position and display content of the electronic price tag are consistent with the standard position. The confirmation signal will be sent to the cloud platform for recording and analysis to support the optimization of future adjustment strategies.

[0138] Connection description: In S410, based on the warning signal generated in S300, the system determines whether the electronic price tag requires an adjustment operation.

[0139] If an adjustment is required, it enters S420, and the system calculates the optimal adjustment strategy based on the optimal path algorithm and the multi-objective optimization model.

[0140] In S430, the system generates a standardized adjustment command according to the adjustment strategy and sends it to the execution terminal to guide the merchant to perform the adjustment operation.

[0141] Step S500 includes at least steps S510 - S530:

[0142] S510: Upload the adjustment strategy generated by the S400 module and the real-time monitoring data of the electronic price tag to the cloud computing platform.

[0143] In S400, the system generates an adjustment strategy for the electronic price tag through an intelligent decision-making algorithm, including the horizontal adjustment amount Δx adj , the vertical adjustment amount Δy adj and the rotation adjustment angle Δθ, etc.

[0144] These adjustment strategies will be uploaded to the cloud computing platform through an encryption protocol, and the specific operations are as follows:

[0145] Package the adjustment strategy of each store with metadata such as the corresponding store ID, device ID, timestamp, priority, etc. to form an adjustment data packet.

[0146] The uploaded data packet contains Δx adj , Δy adj , Δθ, Timestamp, Priority, and ensures the security and integrity of the data transmission process through an encryption algorithm.

[0147] At the same time, the real-time monitoring data of the electronic price tag (including the current display position, status information, environmental monitoring data, etc.) of the electronic price tag will be synchronously uploaded to the cloud platform. This data usually includes the following content:

[0148] The current coordinates (x current , y current , z current ) of the electronic price tag, and the current display status S current (such as whether the display is correct).

[0149] Environmental data, such as sensor data of temperature, humidity, light intensity, etc.:

[0150] T current ,H current ,I current (Temperature, humidity, light intensity),

[0151] During the data upload process, the edge computing node conducts preliminary processing on the data to reduce the burden on the cloud platform.

[0152] S520. Through the cloud platform, the electronic price tag data of multiple stores are synchronized in real time, providing remote monitoring functions for stores in different regions.

[0153] After the cloud platform receives the electronic price tag data uploaded from different stores, it will perform real-time synchronization of the data through asynchronous synchronization technology (such as a push mechanism based on a message queue). Specifically:

[0154] The cloud platform integrates the electronic price tag positions, status information, and environmental data of different stores to ensure that the display status of each store is updated in real time.

[0155] Based on data structuring technology (such as JSON or Protobuf format), the electronic price tag data from each store is sorted and stored, and is synchronously updated to the cloud database to ensure the real-time and consistency of the data.

[0156] The cloud platform pushes the processed store data to the merchant management terminal, and merchants can conduct remote monitoring through a unified management interface. The electronic price tag information (such as display content, position information) and environmental data (temperature, humidity, light intensity, etc.) of each store can be presented in real time on the management terminal interface.

[0157] Administrators can conduct real-time monitoring of stores in different regions, check whether there are deviations in the electronic price tags, and take adjustment measures in a timely manner.

[0158] In addition, administrators can directly view the adjustment records and real-time status of each store through the cloud platform based on real-time data, supporting remote scheduling and adjustment.

[0159] Based on the real-time data uploaded by the stores, the cloud platform can provide a real-time notification function. If there are deviations or abnormal status in the electronic price tags of a certain store, the cloud platform can immediately send a notification reminder to the management personnel to help the management personnel make timely responses.

[0160] S530. Based on the centralized management and optimization functions provided by the cloud computing platform, real-time electronic price tag adjustment suggestions are provided for the store operation team, and cross-platform data processing and analysis are supported.

[0161] The cloud platform has a centralized management function, which can aggregate real-time data from different stores and provide comprehensive analysis reports for the store operation teams through data analysis algorithms. Specifically, the cloud platform judges the following through real-time monitoring and data analysis:

[0162] The display accuracy and display status of the electronic price tags in each store;

[0163] The impact of the environmental data (such as light intensity, temperature and humidity, etc.) in each store on the performance of the electronic price tags;

[0164] The rules and time periods of deviation occurrence to help the operation team identify potential adjustment needs.

[0165] Based on the analysis results, the cloud platform can automatically generate real-time adjustment suggestions. For example, if the deviation value of the electronic price tag in a certain store exceeds the preset tolerance range, the system will provide specific adjustment suggestions according to the adjustment strategy model, including:

[0166] Adjust the position of the electronic price tag (Δx adj , Δy adj );

[0167] Adjust the display angle (Δθ);

[0168] Provide corresponding adjustment suggestions according to environmental factors.

[0169] These suggestions will be displayed to the operation team through the user interface of the cloud platform for easy decision-making and execution.

[0170] The cloud platform also supports cross-platform data processing and analysis. The operation team can access the cloud data through multiple platforms such as the PC side and the mobile side. The platform will conduct in-depth analysis based on big data analysis technologies (such as data mining, prediction models) to provide future adjustment trend predictions and help the operation team make preventive adjustment plans.

[0171] The cloud platform can combine historical data with real-time data to predict which stores' electronic price tags may have display deviations and remind the operation team in advance to avoid potential problems.

[0172] The cloud platform can also continuously optimize the adjustment strategy of the electronic price tags according to the data feedback from each store. Through iterative cycles, the platform can adjust the strategy parameters according to the actual effects and gradually improve the accuracy and effectiveness of the adjustment strategy.

[0173] Connection description: In S510, the adjustment strategy and real-time monitoring data are uploaded to the cloud computing platform for subsequent cross-platform synchronization and centralized management.

[0174] The S520 module utilizes the cloud platform to achieve the real-time data synchronization function of multiple stores, enabling the stores to conduct cross-regional remote monitoring.

[0175] Finally, in the S530 module, the cloud platform provides functions of centralized management, data analysis, and real-time adjustment suggestions to ensure that the store can respond in a timely manner and optimize the display and position of the electronic price tags.

[0176] The key innovation points of the present invention include:

[0177] (1) Multi-modal data fusion: By combining the fusion technology of image recognition and sensor data, the precise positioning of the electronic price tag is achieved, solving the problem of insufficient accuracy of single-sensor technology.

[0178] (2) Real-time positioning and feedback warning: Combining the image recognition algorithm and sensor data, the position of the electronic price tag can be calculated in real time and feedback information can be generated. By comparing the standard position with the actual position, the system can automatically trigger the warning mechanism to ensure the accuracy of the display content of the electronic price tag.

[0179] (3) Intelligent decision-making and automatic adjustment strategy: Using the intelligent decision-making algorithm, the optimal adjustment strategy is calculated based on the real-time positioning and feedback information, and the adjustment command is automatically generated to guide the merchant or device to make precise adjustments.

[0180] The following are its main beneficial effects:

[0181] The electronic price tag positioning feedback warning method provided by the present invention combines multi-modal sensor data and image recognition technology to accurately calculate the real-time position of the electronic price tag and perform feedback and warning, greatly improving the intelligent level of electronic price tag management. Compared with traditional manual inspection or simple positioning technology, the present invention avoids the delay and errors of manual intervention through automatic positioning and anomaly detection, and can timely detect and automatically generate adjustment commands when the electronic price tag deviates. Especially through the centralized management and remote monitoring functions of the cloud platform, the electronic price tags of multiple stores can be synchronized and optimized in real time, significantly improving the operation efficiency and reducing the operation cost. Compared with traditional methods, the present invention effectively reduces the display errors caused by the position deviation of the electronic price tag, optimizes the customer experience, and improves the operation benefits of the merchant.

[0182] Embodiment 2: Figure 2 Show a structural block diagram of an electronic price tag positioning feedback warning system according to an embodiment of the present invention. As Figure 2 shown, the system may include:

[0183] The data acquisition module 10, which is responsible for obtaining real-time data related to the electronic price tag from multiple data sources. Specifically, the data acquisition module acquires image data and environmental data through cameras and sensor devices (such as RFID, Bluetooth sensors) installed in the store environment.

[0184] Image data acquisition: The image information of the electronic price tag is captured in real time through a camera to obtain the position information and attitude of the electronic price tag.

[0185] Sensor data acquisition: The environmental data such as the position information, temperature and humidity, and light intensity of the electronic price tag are obtained through RFID and Bluetooth sensor devices.

[0186] The collected data will be transmitted to the data processing module to ensure the comprehensiveness and effectiveness of the data.

[0187] Data processing module 20, which preliminarily processes the collected data, mainly including operations such as data cleaning, denoising, missing value filling, and format standardization to ensure the consistency and accuracy of the data.

[0188] Image data preprocessing: Denoise and enhance the image data to ensure that the image quality is suitable for subsequent positioning calculations.

[0189] Sensor data calibration: Calibrate and correct the sensor data to reduce the influence of environmental interference on the positioning accuracy.

[0190] The processed data will be stored in an efficient database for subsequent positioning calculations and feedback warning modules to use.

[0191] Positioning calculation and feedback module 30, which uses image recognition algorithms and sensor data fusion technologies to perform real-time positioning calculations of electronic price tags and generate positioning feedback information.

[0192] Image positioning: Analyze the image data transmitted by the S100 module through image recognition technology to identify the specific position and attitude of the electronic price tag.

[0193] Sensor positioning: Based on the data transmitted by RFID, Bluetooth sensors, etc., further optimize the positioning information of the electronic price tag and correct the deviation caused by environmental interference or errors.

[0194] The generated real-time positioning feedback information will be transmitted to the warning module for further anomaly detection.

[0195] Anomaly detection and warning module 40, which compares the positioning feedback information generated by the S200 module with the preset standard position to detect the deviation between the actual position and the standard position of the electronic price tag.

[0196] Deviation detection: Calculate the deviation between the actual position and the standard position of the electronic price tag. If the deviation exceeds the preset threshold, the warning mechanism will be triggered.

[0197] Warning signal generation: If a display deviation exceeding the threshold is detected, the system generates a warning signal and transmits the signal to the decision-making module for further adjustment strategy formulation.

[0198] Decision-making and adjustment strategy module 50, which calculates the adjustment strategy of the electronic price tag using an intelligent decision-making algorithm based on the warning signals received from the warning module and generates an adjustment command.

[0199] Adjustment strategy calculation: Calculate the optimal adjustment path and method of the electronic price tag based on the actual deviation, environmental data, and historical adjustment records.

[0200] Command generation: Generate specific adjustment commands according to the calculated adjustment strategy to guide merchants or automatic devices to adjust the position of the electronic price tag.

[0201] Cloud platform and data management module 60, which uploads the generated adjustment strategy and real-time monitoring data to the cloud through the cloud computing platform and performs cross-platform data synchronization and centralized management.

[0202] Data synchronization and management: The electronic price tag data of each store is synchronized in real time through the cloud platform to ensure data consistency and update speed among different stores.

[0203] Remote monitoring and optimization: Store operation personnel can remotely monitor the status of the electronic price tag through the cloud platform and perform adjustments and maintenance on the electronic price tag according to the real-time data and optimization suggestions provided by the platform.

[0204] User interaction and visualization module 70, which provides an intuitive user interface to display the positioning feedback, warning information, and adjustment suggestions of the system.

[0205] Data visualization: Display the real-time positioning, status, and adjustment results of the electronic price tag through visual charts, maps, etc.

[0206] Interactive operation: Users can interact with the system through a touch screen, mouse, or other input devices to quickly view and adjust the status of the electronic price tag.

[0207] System monitoring and adaptive optimization module 80, which continuously monitors the running status of the system and automatically optimizes the system parameters according to the feedback information to ensure the efficient and stable operation of the system.

[0208] Running status monitoring: Real-time monitor the running status of each module of the system to ensure the efficient and stable data transmission and calculation process.

[0209] Adaptive optimization: Continuously optimize the adjustment strategy and system configuration through technologies such as machine learning to improve the adaptability and accuracy of the system.

[0210] The electronic price tag positioning feedback and warning method and system provided by the embodiments of the present invention effectively improve the intelligent level of electronic price tag management through technical means such as multi-modal data collection, real-time positioning, intelligent decision-making, and cloud platform management. The specific beneficial effects include:

[0211] 1. High-precision real-time positioning: Through image recognition and sensor data fusion technology, high-precision real-time positioning of the electronic price tag position is achieved, ensuring that the electronic price tag accurately displays product information.

[0212] 2. Intelligent warning mechanism: The system can detect the deviation of the electronic price tag in real time and automatically trigger the warning mechanism according to the preset threshold, timely discover and correct problems, and avoid economic losses caused by display errors.

[0213] 3. Automatic adjustment strategy: Using intelligent decision-making algorithms, the system can automatically calculate and generate adjustment strategies for electronic price tags, reducing manual intervention and improving adjustment efficiency.

[0214] 4. Centralized management and remote monitoring: Through the cloud computing platform, the system can centrally manage and real-time monitor the electronic price tags of multiple stores, provide real-time adjustment suggestions for the operation team, and ensure the stable operation of the electronic price tags.

[0215] 5. Adaptive optimization ability: The system has the ability of adaptive learning and optimization, can continuously optimize adjustment strategies and system parameters according to real-time data, adapt to different store environments, and improve the overall performance.

[0216] Obviously, the above-described embodiments are only a part of the embodiments of the present application, rather than all embodiments. The accompanying drawings show preferred embodiments of the present application, but do not limit the patent scope of the present application. The present application can be implemented in many different forms. On the contrary, the purpose of providing these embodiments is to make the understanding of the disclosed content of the present application more thorough and comprehensive. Although the present application has been described in detail with reference to the foregoing embodiments, for those skilled in the art, they can still modify the technical solutions described in the foregoing specific embodiments, or perform equivalent replacements for some of the technical features. Any equivalent structure made directly or indirectly using the content of the specification and drawings of the present application in other related technical fields is similarly within the scope of the patent protection of the present application.

Claims

1. An electronic price tag positioning feedback and warning method, characterized in that The method includes: Obtaining multi-modal sensor data and transmitting the data to a data processing module for preliminary data analysis and providing real-time environmental perception; the multi-modal sensor data includes: Collecting real-time image data of the location where the electronic price tag is located through a camera; Obtaining the location information, environmental temperature and humidity, and light intensity data of the electronic price tag in real time through RFID and Bluetooth sensor devices; Compensating the image data in combination with temperature, humidity, and light intensity; Using image recognition and sensor data fusion technology to accurately calculate the location of the electronic price tag and generate positioning feedback information; the expression for calculating the location of the electronic price tag is: ； Among them, is the position coordinate of the electronic price tag after final fusion; and are weight coefficients; ( ) is the image position; ( ) is the sensor position; Performing anomaly detection based on the positioning feedback information, determining whether there is a display deviation of the electronic price tag, and generating a warning signal through a preset threshold; Judging whether D exceeds the threshold T according to the Euclidean distance deviation between the positioning feedback information and the preset standard position, and generating a warning signal if D>T; The expression for the Euclidean distance deviation is: ； where D represents the Euclidean distance deviation between the actual position and the standard position of the electronic price tag;( ) is the standard position;( ) is the actual position; Using an intelligent decision-making algorithm to calculate the optimal adjustment strategy based on the warning signal and feedback information, generating an adjustment command, and guiding the merchant to perform an adjustment operation; The expression for generating the adjustment command is: ； Among them, is a standardized adjustment command; represents the horizontal and vertical adjustment amounts; represents the rotation adjustment angle; represents the timestamp generated by the command; represents the priority of the adjustment command; Uploading the adjustment command and real-time monitoring data to a cloud platform for data synchronization and centralized management, supporting cross-platform remote monitoring and optimization.

2. The electronic price tag positioning feedback and warning method according to claim 1, wherein The step of uploading the adjustment command and real-time monitoring data to the cloud platform includes: After the cloud platform receives the electronic price tag data uploaded from different stores, it will perform real-time synchronization of the data through asynchronous synchronization technology; Based on data structuring technology, organizing and storing the electronic price tag data from each store, and synchronously updating it to the cloud database.

3. The electronic price tag positioning feedback and warning method according to claim 1, wherein The steps of performing data synchronization and centralized management, supporting cross-platform remote monitoring and optimization include: The cloud platform pushes the processed store data to the merchant management terminal, and the merchant can perform remote monitoring through a unified management interface; The electronic price tag information and environmental data of each store can be presented in real time on the management terminal interface.

4. The electronic price tag positioning feedback and warning method according to claim 1, wherein The steps of performing data synchronization and centralized management, supporting cross-platform remote monitoring and optimization further include: Administrators can perform real-time monitoring of stores in different regions, check whether there are deviations in the electronic price tags, and take adjustment measures in a timely manner; Administrators can directly view the adjustment records and real-time status of each store through the cloud platform based on real-time data, supporting remote scheduling and adjustment; Based on the real-time data uploaded by the store, the cloud platform can provide a real-time notification function.

5. An electronic price tag positioning feedback and warning system, which is applied to the electronic price tag positioning feedback and warning method described in any one of claims 1-4, and is characterized in that, The system includes: A data acquisition module for obtaining real-time data related to the electronic price tag from multiple data sources, including collecting image data and environmental data through cameras and sensor devices installed in the store environment; A data processing module for performing preliminary processing on the collected data, including data cleaning, denoising, missing value filling, and format standardization operations; A positioning calculation and feedback module for using image recognition algorithms and sensor data fusion technology to perform real-time positioning calculation of the electronic price tag and generate positioning feedback information; Anomaly detection and warning module, which is used to compare with a preset standard position based on the positioning feedback information, detect the deviation between the actual position and the standard position of the electronic price tag, and generate a warning signal when the deviation exceeds a preset threshold; Decision-making and adjustment strategy module, which is used to calculate the adjustment strategy of the electronic price tag by using an intelligent decision-making algorithm according to the warning signal and feedback information, and generate an adjustment command to guide merchants or automatic devices to adjust the position of the electronic price tag; Cloud platform and data management module, which is used to upload the adjustment strategy and real-time monitoring data to the cloud platform for cross-platform data synchronization and centralized management, and support remote monitoring and optimization; User interaction and visualization module, which is used to provide an intuitive user interface to display the positioning feedback, warning information and adjustment suggestions of the system, and support interactive operations; System monitoring and adaptive optimization module, which is used to continuously monitor the running state of the system and automatically optimize the system parameters according to the feedback information.

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