Retail commodity system based on intelligent shelf

Abstract

The invention discloses a retail commodity system based on an intelligent goods shelf, which comprises the intelligent goods shelf, a cloud server and a mobile client APP, a battery pack, a weighing sensor and a circuit board are fixedly arranged in a rotating base of the intelligent goods shelf, an MCU and a communication module are integrated on the circuit board, the weighing sensor is used for collecting weight data of retail commodities at regular time, and the cloud server is used for sending the weight data to the mobile client APP. The weight data is sent to the MCU for filtering processing and then uploaded to the cloud server, the cloud server stores the weight data and analyzes whether the weight data is lower than a preset weight value or not according to data within a certain period, and if yes, a replenishment notice is sent to the client APP; the MCU is used for monitoring the electric quantity of the battery pack, calculating the residual electric quantity of the battery and uploading the residual electric quantity to the cloud server, and the cloud server judges whether the residual electric quantity of the battery is lower than a preset electric quantity value or not and sends an electric quantity shortage notification to the client APP if the residual electric quantity is lower than the preset electric quantity value. The power consumption of the intelligent goods shelf is reduced, and the problem that battery monitoring and operation and maintenance depend on manual work is solved.

Description

Technical Field

[0001] This application relates to the technical field of intelligent shelves, and particularly to a retail commodity system based on intelligent shelves. Background Art

[0002] As a new retail solution, intelligent shelves have been widely applied and developed globally in recent years. With the rapid development of technologies such as the Internet of Things (IoT), big data analysis, and artificial intelligence (AI), the traditional retail industry is undergoing unprecedented changes. By embedding devices such as sensors, cameras, and wireless communication modules, intelligent shelves can monitor the storage status, sales volume, and consumer behavior of goods in real time, providing accurate data support for retailers, optimizing inventory management and product display, thereby enhancing the shopping experience and operational efficiency. Existing intelligent shelves in the art include weight sensor-based unmanned shelf systems and low-power Internet of Things (IoT) inventory management devices, etc.

[0003] The weight sensor-based unmanned shelf system uses weighing sensors (such as strain gauges or pressure sensors) to monitor changes in the weight of goods, and then uploads the data to the cloud via a Wi-Fi / 4G module to analyze customer purchase behavior and generate replenishment reminders. For example, some solutions use multi-region weighing sensors to distinguish product categories, but do not solve the problem of active reporting of battery life, and require regular manual inspection of the power supply.

[0004] Low-power Internet of Things (IoT) inventory management devices use shelf monitoring devices based on low-power wide area networks (such as LoRa / NB-IoT) to regularly upload inventory data to reduce energy consumption. Some solutions support power monitoring, but only provide local alarms (such as buzzer prompts) and lack an automatic linkage function with the operation and maintenance platform, and still require manual inspection to confirm the power status.

[0005] The intelligent shelves in the prior art have the following defects:

[0006] 1. Data upload frequency and power consumption issues

[0007] Defect: Some existing intelligent shelves use real-time data upload (for example: immediately upload every time a product is taken), resulting in high device power consumption, a significant reduction in battery life, and frequent battery replacement, increasing the operation and maintenance costs.

[0008] Reason: High-frequency data transmission (such as continuous Wi-Fi / 4G connection) increases the power consumption of the main control chip and communication module; in addition, some solutions do not optimize the low-power mode, and the sensors and main control are in an active state for a long time, further exacerbating the power consumption.

[0009] 2. Battery monitoring and operation and maintenance rely on manual labor

[0010] Defect: Many existing solutions only support local low - battery alarms (e.g., LED flashing or buzzer alerts), and cannot actively notify the operation and maintenance personnel, resulting in device downtime after the battery runs out and affecting data continuity.

[0011] Reason: Traditional solutions do not integrate remote power reporting functions, or only record power data without triggering automatic work order dispatching; in addition, although some low - power IoT devices (e.g., LoRa / NB - IoT) support remote communication, they are not deeply linked with the operation and maintenance management system, and manual inspections are still required to discover power problems.

[0012] 3. Weighing accuracy is affected by environmental interference

[0013] Defect: The weighing sensors of some shelves are easily affected by temperature changes, mechanical vibrations, or long - term load deformation, resulting in data drift and requiring regular calibration. Otherwise, the sales volume statistics error is relatively large.

[0014] Reason: Low - cost strain - gauge sensors have a high temperature drift coefficient, and the shelf structure design does not isolate external vibrations (such as the shaking when customers touch the shelf); in addition, there is a lack of an automatic calibration mechanism (such as power - on self - calibration or dynamic compensation algorithms), relying on manual maintenance.

[0015] 4. Identification limitations when multiple commodities are mixed

[0016] Defect: If different - weight commodities are placed in the same area of the shelf, existing solutions are difficult to distinguish the specific categories taken, and can only count the total weight change, requiring auxiliary technologies (e.g., RFID or visual recognition) to make up for it, increasing complexity and cost.

[0017] Reason: Pure weighing solutions cannot obtain commodity ID information, and need to be strictly pre - partitioned or paired with other sensors, restricting the flexibility of use.

[0018] 5. Cloud - based data analysis delay

[0019] Defect: Some systems use single - batch uploads once a day, resulting in a lag in replenishment response and being unable to adapt to high - frequency sales scenarios (such as not being able to replenish in time after popular commodities are sold out).

[0020] Reason: Excessive reduction of the upload frequency to save power sacrifices data real - time performance, and the cooperation strategy with the background system is not optimized. Summary of the Invention

[0021] To this end, the present application provides a retail commodity system based on an intelligent shelf to solve the problems of high power consumption of existing intelligent shelves and only supporting local low - battery alarms in the prior art.

[0022] To achieve the above object, the present application provides the following technical solutions:

[0023] A retail commodity system based on an intelligent shelf, comprising an intelligent shelf, a cloud server and a mobile client APP. The intelligent shelf includes a rotating base, a display cabinet and a top cover. The display cabinet is fixedly installed on the top of the rotating base. There is an opening at the top of the display cabinet, and the top cover covers the opening. A retail commodity outlet is provided at one end of the display cabinet close to the rotating base. An accommodation cavity is arranged inside the rotating base, and a battery pack, a weighing sensor and a circuit board are fixedly arranged in the accommodation cavity. An MCU and a communication module are integrated on the circuit board. The battery pack, the weighing sensor and the communication module are all electrically connected to the MCU. The communication module is communicatively connected to the cloud server, and the cloud server is communicatively connected to the mobile client APP;

[0024] The weighing sensor is used to regularly collect the weight data of the retail commodities in the display cabinet and send it to the MCU. The MCU filters the weight data and uploads it to the cloud server through the communication module. The cloud server stores the weight data and analyzes whether the weight data is lower than a preset weight value according to the data within a certain period. If it is lower than the preset weight value, a replenishment notice is sent to the mobile client APP; The MCU is also used to monitor the battery pack power and calculate the remaining battery power, and upload the remaining battery power to the cloud server through the communication module. The cloud server judges whether the remaining battery power is lower than a preset power value. If it is lower than the preset power value, a power shortage notice is sent to the mobile client APP.

[0025] Preferably, the weighing sensor adopts an HX711 sensor.

[0026] Preferably, the display cabinet is provided with a plurality of retail commodity accommodation cavities, and a retail commodity outlet is arranged at the bottom of each retail commodity accommodation cavity.

[0027] Preferably, the MCU adopts the Coulomb calculation method when calculating the remaining battery power.

[0028] Preferably, the preset power value is 20% - 30%.

[0029] Preferably, the communication module adopts an L610-EU module.

[0030] Preferably, when the MCU uploads the weight data and the battery power through the communication module, the shelf ID, timestamp, SIM card ID and signal value are uploaded at the same time.

[0031] Preferably, the communication module adopts the MQTT or HTTP protocol when communicating with the cloud server.

[0032] Compared with the prior art, the present application has at least the following beneficial effects:

[0033] 1. The present application provides a retail commodity system based on an intelligent shelf, including an intelligent shelf, a cloud server, and a mobile client APP. A battery pack, a weighing sensor, and a circuit board are fixedly arranged inside the rotating base of the intelligent shelf. An MCU and a communication module are integrated on the circuit board. The weighing sensor is used to regularly collect the weight data of retail commodities in the display cabinet and send it to the MCU. The MCU filters the weight data and uploads it to the cloud server through the communication module. The cloud server stores the weight data and analyzes whether the weight data is lower than a preset weight value according to the data within a certain period. If it is lower than the preset weight value, a replenishment notice is sent to the mobile client APP; the MCU is also used to monitor the battery pack power and calculate the remaining battery power, and upload the remaining battery power to the cloud server through the communication module. The cloud server determines whether the remaining battery power is lower than a preset power value. If it is lower than the preset power value, a power shortage notice is sent to the mobile client APP. Through the weight change wake-up and regular upload functions, the present application reduces the power consumption of the intelligent shelf, and realizes the full automation management of "sales analysis - replenishment warning - battery replacement" through cloud collaboration, solving the pain point that battery monitoring and operation and maintenance in the prior art rely on manual intervention.

[0034] 2. The weighing sensor adopts an HX711 sensor, which has high recognition accuracy and can reduce the sales statistics error.

[0035] 3. The display cabinet is provided with multiple retail commodity accommodation cavities, which avoids the mixed placement of multiple commodities and can better identify commodities. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to more intuitively illustrate the prior art and the present application, exemplary drawings are given below. It should be understood that the specific shapes and structures shown in the drawings generally should not be regarded as limiting conditions when implementing the present application; for example, those skilled in the art are capable of making routine adjustments or further optimizations to the addition / deletion / attribution division of certain units (components), specific shapes, positional relationships, connection methods, dimensional ratio relationships, etc. based on the technical concept disclosed in the present application and the exemplary drawings.

[0037] Figure 1 It is a schematic structural diagram of a retail commodity system based on an intelligent shelf provided by the present application;

[0038] Figure 2 It is a schematic overall structure diagram of the intelligent shelf provided by the present application;

[0039] Figure 3 It is a first exploded view of the intelligent shelf provided by the present application;

[0040] Figure 4 It is a second exploded view of the intelligent shelf provided by the present application.

[0041] Description of the reference numerals in the drawings:

[0042] 1. Rotating base; 101. Battery pack; 102. Weighing sensor; 103. Circuit board; 2. Showcase; 201. Retail commodity outlet; 3. Top cover. Detailed implementation manners

[0043] The following further details the present application through specific embodiments in conjunction with the accompanying drawings.

[0044] In the description of the present application: Unless otherwise specified, the meaning of "a plurality of" is two or more. Terms such as "first", "second", "third", etc. in the present application are intended to distinguish the objects being referred to, and do not have special significance in terms of technical connotations (for example, it should not be understood as emphasizing the importance or order, etc.). Expressions such as "including", "comprising", "having", etc. also mean "not limited to" (certain units, components, materials, steps, etc.).

[0045] Terms such as "upper", "lower", "left", "right", "middle", etc. cited in the present application are usually indications of the general relative position relationship for the convenience of intuitively understanding with reference to the accompanying drawings, and are not absolute limitations on the position relationship in the actual product.

[0046] Please refer to Figure 1 , Figure 2 , Figure 3 and Figure 4 , the present application provides a retail commodity system based on an intelligent shelf, including an intelligent shelf, a cloud server, and a mobile client APP. The intelligent shelf includes a rotating base 1, a showcase 2, and a top cover 3. The showcase 2 is fixedly installed on the top of the rotating base 1. There is an opening at the top of the showcase 2, and the top cover covers the opening. One end of the showcase 2 close to the rotating base 1 is provided with a retail commodity outlet 201. An accommodation cavity is provided inside the rotating base 1, and a battery pack 101, a weighing sensor 102, and a circuit board 103 are fixedly arranged in the accommodation cavity. An MCU and a communication module are integrated on the circuit board 103. The battery pack 101, the weighing sensor 102, and the communication module are all electrically connected to the MCU. The communication module is communicatively connected to the cloud server, and the cloud server is communicatively connected to the mobile client APP.

[0047] In a retail commodity system based on an intelligent shelf provided by this application, the weighing sensor 102 is used to collect the weight data of retail commodities in the display cabinet 2 at regular intervals (for example: once every 3 days), and send it to the MCU. The MCU filters the weight data and uploads it to the cloud server through the communication module. The cloud server stores the weight data and analyzes whether the weight data is lower than the preset weight value according to the data within a certain period. If it is lower than the preset weight value, a replenishment notice (for example: insufficient inventory) is sent to the mobile client APP; the MCU is also used to monitor the battery level of the battery pack 101, calculate the remaining battery power, and upload the remaining battery power to the cloud server through the communication module. The cloud server determines whether the remaining battery power is lower than the preset power value. If it is lower than the preset power value, a low power notice (for example: low power) is sent to the mobile client APP.

[0048] Please refer to Figure 3 , in a retail commodity system based on an intelligent shelf provided by this application, the display cabinet 2 includes a plurality of retail commodity accommodation cavities. One retail commodity can be placed in each accommodation cavity, and a retail commodity outlet 201 is provided at the bottom of each accommodation cavity. The display cabinet 2 can rotate around the central axis of the rotating base 1. In the retail commodity system based on an intelligent shelf provided by this application, retail commodities can be placed in different accommodation cavities respectively, avoiding the mixed placement of multiple commodities and enabling better commodity identification.

[0049] In a retail commodity system based on an intelligent shelf provided by this application, the weighing sensor 102 uses an HX711 sensor. The HX711 sensor is a high-precision 24-bit analog-to-digital converter (ADC). It can provide high resolution and accuracy, making it particularly suitable for precision measurement occasions. In the retail commodity system based on an intelligent shelf provided by this application, the HX711 sensor is not affected by temperature changes, mechanical vibrations, or long-term load deformations, etc., and has high identification accuracy.

[0050] In a retail commodity system based on an intelligent shelf provided by this application, the MCU uses the Coulomb counting method when calculating the remaining battery power. Coulomb Counting is a method used to measure the amount of charge transferred during the charging and discharging process of a battery. The charge amount (Coulomb = Ampere × Second) is calculated by integrating the current over time. Its core principles include:

[0051] Integrated current: By measuring the current I(t) in real time and integrating it over time, the total charge amount Q is obtained:

[0052]

[0053] Among them, Q is the transferred electric charge with the unit of coulomb (C); I(t) is the current with the unit of ampere (A); t1 and t2 are the starting and ending points of time with the unit of second (s).

[0054] Capacity estimation: Combine the electric charge with the rated capacity of the battery to estimate the remaining power (SoC, State of Charge). When the power is lower than 20% - 30%, an alarm is automatically triggered and pushed to the operation and maintenance platform.

[0055] In a retail commodity system based on an intelligent shelf provided by this application, the MCU is internally timed to automatically wake up 2 or 3 times a day for data collection, and the collected weight values are uploaded to the cloud service together with other information. The rest of the time, it is in the sleep mode to save power.

[0056] In a retail commodity system based on an intelligent shelf provided by this application, the communication module uses the L610 - EU module. The L610 - EU module is a module based on a high - performance GNSS (Global Navigation Satellite System) chip, which is widely used in various devices that require positioning and navigation. It supports multiple GNSS systems, including GPS, GLONASS, Galileo, etc., and is suitable for precise positioning applications.

[0057] In a retail commodity system based on an intelligent shelf provided by this application, when the MCU uploads the weight data and battery power through the communication module, it also uploads information such as the shelf ID, timestamp, SIM card ID, and signal value.

[0058] In a retail commodity system based on an intelligent shelf provided by this application, the communication module uses the MQTT / HTTP protocol when communicating with the cloud server. MQTT is a lightweight message transmission protocol, especially suitable for low - bandwidth, high - latency, or unstable network environments; HTTP is the most widely used protocol currently, especially widely used in web services.

[0059] A retail commodity system based on an intelligent shelf provided by this application will also use Power BI to monitor the consumption of each commodity on the shelf in real - time and automatically generate replenishment suggestions based on this data.

[0060] A retail commodity system based on an intelligent shelf provided by this application also has a high - precision weighing compensation function. After the device is powered on, it automatically performs zeroing and calibration. The calibration method specifically includes: before the device is first shipped from the factory, manual calibration is performed, that is, zeroing operation, and the data is stored in Flash as a data reference; when the device is powered on again, the Flash storage value is read as the current data calibration value.

[0061] A retail commodity system based on an intelligent shelf provided by this application realizes accurate monitoring of the change data of shelf commodities, provides an efficient replenishment-shelving linkage mechanism for customers, and saves the cost of manual inspection of out-of-stock and sales volume.

[0062] A retail commodity system based on an intelligent shelf provided by this application has the following advantages:

[0063] 1. Low power consumption: Through dynamic power consumption control, that is, event trigger (weight change wake-up) + timed upload combination, the power consumption is reduced by 70%.

[0064] 2. Support for remote alarm: Through the automated operation and maintenance link, the entire process from power detection to the dispatch of operation and maintenance work orders is realized without human intervention.

[0065] 3. High weighing accuracy: The HX711 sensor is adopted, which has a high recognition accuracy and can reduce the sales volume statistical error.

[0066] 4. Classification storage of commodities: The display cabinet is provided with multiple accommodation cavities for retail commodities, avoiding the mixed placement of multiple commodities and enabling better commodity identification.

[0067] This application integrates the dynamic weighing data chain and the device health self-inspection system, and realizes the full automation management of "sales analysis - replenishment warning - battery replacement" through cloud collaboration, solves the pain point of relying on manual intervention in operation and maintenance in the background technology, and at the same time the obtained weight accuracy can reach more than 95%, and the stable operation time of the device is as long as 1.5 years.

[0068] The technical features of the above embodiments can be combined arbitrarily (as long as there is no contradiction in the combination of these technical features). For the sake of concise description, not all possible combinations of the technical features in the above embodiments are described; these embodiments not explicitly written out should also be regarded as within the scope recorded in this specification.

Claims

1. A retail commodity system based on smart shelves, characterized in that: It comprises a smart shelf, a cloud server and a mobile client APP, wherein the smart shelf comprises a rotating base, a display cabinet and a top cover, wherein the display cabinet is fixedly mounted on the top of the rotating base, an opening is arranged on the top of the display cabinet, and the top cover covers the opening, and a retail commodity outlet is arranged at one end of the display cabinet close to the rotating base, and a receiving cavity is arranged inside the rotating base, and a battery pack, a weighing sensor and a circuit board are fixedly arranged in the receiving cavity, and an MCU and a communication module are integrated on the circuit board, and the battery pack, the weighing sensor and the communication module are all electrically connected to the MCU, and the communication module is communicatively connected to the cloud server, and the cloud server is communicatively connected to the mobile client APP; The weighing sensor is used to periodically collect weight data of retail goods in the display cabinet and send it to the MCU. The MCU filters the weight data and uploads it to the cloud server through the communication module. The cloud server stores the weight data and analyzes whether the weight data is lower than a preset weight value based on data within a certain period. If it is lower than the preset weight value, a replenishment notification is sent to the mobile client APP; the MCU is also used to monitor the battery power of the battery pack and calculate the remaining battery power. The remaining battery power is uploaded to the cloud server through the communication module. The cloud server determines whether the remaining battery power is lower than the preset power value. If it is lower than the preset power value, a low power notification is sent to the mobile client APP.

2. The retail commodity system based on smart shelves according to claim 1, characterized in that: The weighing sensor adopts HX711 sensor.

3. The retail commodity system based on smart shelves according to claim 1, characterized in that: The display cabinet is provided with a plurality of retail commodity accommodating cavities, and a retail commodity outlet is provided at the bottom of each retail commodity accommodating cavity.

4. The retail commodity system based on smart shelves according to claim 1, characterized in that: The MCU uses the Coulomb calculation method to calculate the remaining battery power.

5. The retail commodity system based on smart shelves according to claim 1, characterized in that: The preset power value is 20%~30%.

6. The retail commodity system based on smart shelves according to claim 1, characterized in that: The communication module adopts L610-EU module.

7. The retail commodity system based on smart shelves according to claim 1, characterized in that: When the MCU uploads the weight data and the battery power through the communication module, it also uploads the shelf ID, the timestamp, the SIM card ID and the signal value.

8. The retail commodity system based on smart shelves according to claim 1, characterized in that: The communication module communicates with the cloud server using the MQTT or HTTP protocol.

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