Intelligent electronic scale for canteen integrating weighing, collecting and transmitting modules

Abstract

The utility model relates to canteen food material management technical field especially, more particularly to integrated weighing, collection and transmission module's intelligent electronic scale for canteen, including the chassis, four groups of weighing sensors are fixedly installed to the lower extreme of chassis, the upper end fixed mounting of chassis has the supporting plate, the upper end of supporting plate is provided with four groups of limiting mechanisms, four groups of limiting mechanisms are around the center symmetry arrangement of supporting plate, each limiting mechanism is by a group of locating pin and the multiple groups of reservation hole that set up on the surface of supporting plate constitutes, and the multiple groups of reservation hole evenly linear arrangement along the diagonal line of supporting plate, and the locating pin is connected with the inside of a reservation hole, the utility model discloses adjustable limiting mechanism through on the surface of weighing platform, adapts to the food material bearing basket of many different specifications in canteen scene, and the operator can place goods in the center of the table according to the guidance of limiting mechanism, prevents the weighing error caused by the eccentricity of goods position, ensures the accuracy and consistency of weighing result.

Description

Technical Field

[0001] This utility model relates to the field of canteen food management technology, and in particular to a smart electronic scale for canteens that integrates weighing, data acquisition and transmission modules. Background Technology

[0002] In the food procurement management of large-scale catering service institutions such as enterprise and institution canteens and school canteens, intelligent electronic scales have become an indispensable key equipment in the food acceptance process, used to weigh the accepted food.

[0003] When weighing, if the goods are not placed in the center of the platform, an "off-center loading error" can easily occur, causing the weighing reading to deviate from the actual weight. Since large-scale canteens usually receive a large quantity of ingredients each time and store them in baskets, a small deviation in each basket can lead to a large quality deviation in all received ingredients. To avoid this situation, operators often need to deliberately adjust the goods to the center position. This not only reduces work efficiency but is also difficult to implement effectively in busy peak-hour receiving scenarios.

[0004] Therefore, to address the aforementioned issues, a smart electronic scale for canteens can be designed that integrates weighing, data acquisition, and transmission modules. By integrating an adjustable limiting structure on the surface of the weighing platform, it can be adapted to various sizes of food carrying baskets in canteen scenarios. Operators can intuitively and accurately place the goods in the center of the platform according to the guidance of the limiting structure, preventing weighing errors caused by the off-center position of the goods and ensuring the accuracy and consistency of the weighing results. Utility Model Content

[0005] To overcome the problem of "off-center loading error" that easily occurs when weighing baskets of food stored in the current canteen food acceptance process using electronic scales, if the goods are not placed in the center of the counter, resulting in a deviation between the weighing reading and the actual weight, operators need to deliberately adjust the goods to the center position to avoid this problem. This not only reduces work efficiency, but is also difficult to implement effectively in busy acceptance scenarios during peak periods.

[0006] The technical solution of this utility model is as follows: a smart electronic scale for canteens that integrates weighing, data acquisition and transmission modules, including a base frame, four sets of weighing sensors fixedly installed at the lower end of the base frame, a tray fixedly installed at the upper end of the base frame, and four sets of limiting mechanisms provided at the upper end of the tray. The four sets of limiting mechanisms are symmetrically arranged around the center of the tray. Each set of limiting mechanisms consists of multiple sets of reserved holes opened on the surface of the tray and a set of positioning pins. The multiple sets of reserved holes are evenly linearly arranged along the diagonal of the tray, and the positioning pins are engaged with the interior of one set of reserved holes.

[0007] Preferably, before weighing, four sets of positioning pins are inserted into appropriate pre-drilled holes to guide the food carrying baskets of different sizes in the canteen. During the weighing operation, the food carrying basket is placed in the central positioning area formed by the four sets of positioning pins, which ensures that the food carrying basket is precisely aligned with the center of the pallet, effectively avoiding the "off-center loading error" problem caused by the offset of the goods. The limit blocks guide the operator in a clear and intuitive way, eliminating the need for the operator to make additional adjustments when placing the goods. This can be implemented continuously in busy acceptance scenarios, ensuring the accuracy of the food weighing results.

[0008] As a preferred option, four sets of weighing sensors are evenly distributed in a matrix at the four corners of the lower end of the base frame.

[0009] Preferably, the pallet is made of high-strength alloy material.

[0010] Preferably, an outer shell is fixedly installed on the rear side of the base frame, and a mounting bracket is fixedly installed on the upper end of the outer shell. An interactive flat panel is hinged inside the mounting bracket, and the connection between the interactive flat panel and the mounting bracket is damped.

[0011] As a preferred option, the interactive flat panel is equipped with standardized external interfaces that support the expansion of multiple types of data interfaces.

[0012] Preferably, the data processing chip and wireless communication module are integrated inside the outer casing.

[0013] Preferably, the wireless communication module integrates the ESP8266EX Wi-Fi module and the CC2541 Bluetooth module, forming a dual-mode communication structure with Wi-Fi priority and Bluetooth backup.

[0014] Preferably, a rear cover plate is fixedly connected to the rear side of the outer casing by fasteners, and the surface of the rear cover plate has through-holes for heat dissipation.

[0015] Preferably, an extension frame is fixedly installed on the outer periphery of the outer casing, and a lighting lamp is provided at the lower end of the extension frame.

[0016] Preferably, a set of cameras is installed at the lower end of the extension frame and on the front side of the outer casing.

[0017] Preferably, the extension frame has a hollow structure, and the surface of the mounting frame has a wire-passing hole that is connected and communicates with the inner cavity of the outer shell.

[0018] The beneficial effects of this utility model are: During weighing operations, placing the food carrying basket within the central positioning area formed by the four sets of positioning pins ensures precise alignment between the food carrying basket and the center of the pallet, effectively avoiding the "off-center loading error" problem caused by the offset of the goods. The limit blocks guide the operator intuitively and clearly, eliminating the need for additional adjustments when placing the goods. This allows for continuous implementation even in busy acceptance scenarios, ensuring the accuracy of the food weighing results. Before weighing, inserting the four sets of positioning pins into the appropriate pre-drilled holes allows for positioning and guidance of food carrying baskets of different sizes in the canteen, making it more versatile. Attached Figure Description

[0019] Figure 1 The diagram shown is a first three-dimensional structural schematic of the intelligent electronic scale for canteens that integrates weighing, data acquisition and transmission modules according to this utility model. Figure 2 The diagram shown is a second three-dimensional structural schematic of the intelligent electronic scale for canteens that integrates weighing, data acquisition and transmission modules according to this utility model. Figure 3 The diagram shown is a third-dimensional structural schematic of the intelligent electronic scale for canteens that integrates weighing, data acquisition, and transmission modules according to this utility model. Figure 4 The diagram shown is an exploded three-dimensional structural representation of the surface of the tray of the intelligent electronic scale for canteens, which integrates weighing, data acquisition, and transmission modules according to this utility model. Explanation of reference numerals in the attached drawings: 1. Base frame; 2. Weighing sensor; 3. Support plate; 301. Reserved hole; 302. Positioning pin; 401. Outer casing; 402. Mounting bracket; 403. Interactive flat panel; 404. External interface; 405. Rear cover plate; 406. Heat dissipation hole; 501. Extension bracket; 502. Lighting lamp; 503. Camera; 6. Cable threading port. Detailed Implementation

[0020] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0021] Example 1 Please see Figure 1 and Figure 4This utility model provides an embodiment of a smart electronic scale for canteens that integrates weighing, data acquisition, and transmission modules. The scale includes a base frame 1, with four sets of weighing sensors 2 fixedly installed at the lower end of the base frame 1. A support plate 3 is fixedly installed at the upper end of the base frame 1, and four sets of limiting mechanisms are provided on the upper end of the support plate 3. These four limiting mechanisms are symmetrically arranged around the center of the support plate 3. Each limiting mechanism consists of multiple sets of pre-drilled holes 301 on the surface of the support plate 3 and a set of positioning pins 302. The pre-drilled holes 301 are evenly and linearly arranged along the diagonal of the support plate 3, and the positioning pins 302 engage with the pre-drilled holes 301. Inside hole 301; before weighing, four sets of positioning pins 302 are inserted into the appropriate reserved holes 301 to position and guide food carrying baskets of different sizes in the canteen. During the weighing operation, the food carrying basket is placed in the central positioning area formed by the four sets of positioning pins 302, which ensures that the food carrying basket is accurately aligned with the center of the pallet 3, effectively avoiding the "off-center loading error" problem caused by the offset of the goods position. The limit block guides the operator intuitively and clearly, without requiring the operator to make additional adjustments when placing the goods. It can be continuously implemented in busy acceptance scenarios to ensure the accuracy of the food weighing results.

[0022] Please see Figure 1 , Figure 2 and Figure 3In this embodiment, four sets of load cells 2 are evenly arranged in a matrix at the four corners of the lower end of the base frame 1, forming a stable mechanical support structure and ensuring the accuracy of the measurement data. The support plate 3 is made of high-strength alloy material, possessing excellent impact resistance and corrosion resistance, while reducing the impact of deformation of the support plate 3 itself on the load-bearing accuracy. A housing 401 is fixedly installed on the rear side of the base frame 1, and a mounting bracket 402 is fixedly installed on the upper end of the housing 401. An interactive flat panel 403 is hinged inside the mounting bracket 402, and the connection between the interactive flat panel 403 and the mounting bracket 402 is damped. The peripheral of the interactive flat panel 403 is equipped with a standardized external interface 404, supporting multiple types of data interface expansion. The housing 401 integrates a data processing chip and a wireless communication module, with the wireless communication module being an ESP8266EX. The Wi-Fi module is integrated with the CC2541 Bluetooth module, forming a dual-mode communication structure with Wi-Fi priority and Bluetooth backup. The internal data processing chip and wireless communication module are installed through the housing 401. The data processing chip can process and store the weighted data and transmit it to the backend system through the wireless communication module. At the same time, it is displayed through the interactive flat panel 403. Traditional wired transmission is realized through the external interface 404. The interactive flat panel 403 is installed through the mounting bracket 402, which allows the interactive flat panel 403 to be hovered and rotated at will, making it convenient for operators to observe and operate the interactive flat panel 403. The rear of the housing 401 is fixedly connected to the rear cover 405 by fasteners. The surface of the rear cover 405 has through heat dissipation holes 406. The removable rear cover 405 facilitates the inspection and maintenance of the housing 401, and the heat dissipation holes 406 optimize the heat dissipation performance of the housing 401.

[0023] Please see Figure 2 and Figure 3 In this embodiment, an extension frame 501 is fixedly installed on the periphery of the outer casing 401. A lighting lamp 502 is provided at the lower end of the extension frame 501. A set of cameras 503 is provided at the lower end of the extension frame 501 and the front side of the outer casing 401. The cameras 503 and the lighting lamp 502 are installed through the extension frame 501. The two sets of cameras 503 can take pictures and record the weighed food from multiple angles. The lighting lamp 502 can provide supplementary lighting. The extension frame 501 is a hollow structure. A wire hole 6 is opened on the surface of the mounting frame 402. The wire hole 6 is connected to the outer casing. The hollow structure of the extension frame 501 and the wire hole 6 facilitate the connection between the cameras 503 and the lighting lamp 502 installed at the lower end of the extension frame 501 and the data processing chip and wireless communication module inside the outer casing 401.

[0024] Example 2 Optionally, this utility model provides another embodiment: Please see Figure 2and Figure 3 In this embodiment, four sets of weighing sensors 2 are fixedly installed at the lower end of the base frame 1, and a support plate 3 is fixedly installed at the upper end of the base frame 1. Four sets of limiting mechanisms are provided at the upper end of the support plate 3. These four sets of limiting mechanisms are symmetrically arranged around the center of the support plate 3. Each limiting mechanism consists of multiple sets of pre-drilled holes 301 on the surface of the support plate 3 and a set of positioning pins 302. The multiple sets of pre-drilled holes 301 are evenly and linearly arranged along the diagonal of the support plate 3. The positioning pins 302 are engaged with the interior of one set of pre-drilled holes 301. The four sets of weighing sensors 2 are arranged in a matrix-like uniform arrangement. The base frame 1 is located at the four corners of the lower end. A housing 401 is fixedly installed on the rear side of the base frame 1. A mounting bracket 402 is fixedly installed on the upper end of the housing 401. An interactive flat panel 403 is hinged inside the mounting bracket 402. The connection between the interactive flat panel 403 and the mounting bracket 402 is damped. The interactive flat panel 403 is equipped with a standardized external interface 404, which supports the expansion of multiple types of data interfaces. The housing 401 integrates a data processing chip and a wireless communication module. The wireless communication module is an ESP8266EX Wi-Fi module and a CC2541 Bluetooth module, forming a dual-mode communication structure of Wi-Fi priority + Bluetooth backup. An extension bracket 501 is fixedly installed on the periphery of the housing 401. A light 502 is provided at the lower end of the extension bracket 501. A set of cameras 503 is provided at the lower end of the extension bracket 501 and the front side of the housing 401.

[0025] Implementation Background Traditional canteen food ingredient acceptance equipment suffers from three major pain points: a single-sensor layout leads to a weighing error rate exceeding 3%, manual image acquisition takes over 90 minutes, and data requires secondary entry, which is prone to errors. This embodiment solves the accuracy problem by symmetrically installing four HBMZ6FC3 column-type load cells (50kg range, 0.02% FS accuracy) at the four corners. It integrates an OV5640 5-megapixel camera (120° wide-angle) for automatic image capture, and uses an STM32F767 chip for data encapsulation. Finally, it prioritizes data transmission via an ESP8266EX Wi-Fi module and uses a CC2541 Bluetooth module for backup, ensuring data upload within seconds.

[0026] Specific implementation steps: Step 1 Hardware Assembly: Combine the 40cm×30cm×5cm high-strength ABS shell with the base frame 1, install 4 sensors symmetrically at the four corners and connect them to the STM32F767 chip through the Wheatstone bridge circuit; Step 2 Module Integration: A camera 503 is vertically installed above the scale body and linked to the chip via a USB interface. It automatically triggers a photo capture after the weighing stabilizes. Step 3: Data Processing: The chip encapsulates the weight data (error ≤1% after digital filtering) and image data (JPEG compression) in JSON format; Step 4: Communication Test: Prioritize Wi-Fi transmission to the backend system; automatically switch to Bluetooth mode if Wi-Fi fails to connect, ensuring a 99.8% transmission success rate. Step 5: On-site debugging: Conduct actual tests in the canteen acceptance area to verify the uniformity of force on the four corner sensors and the dual-mode switching logic.

[0027] Beneficial effects of implementation This embodiment reduces the weighing error rate from 3% of traditional equipment to less than 1%, and shortens the single acceptance time from 90 minutes to 30 minutes. By replacing manual operation with hardware linkage, it achieves full automation of the "weighing-image acquisition-data transmission" process. Dual-mode communication ensures no data loss during network fluctuations, and a dedicated interface is compatible with mainstream management systems, achieving a 100% interface compatibility test pass rate. Actual testing in the cafeteria shows that it can complete the acceptance of 200 baskets of ingredients daily, improving efficiency by 60% and reducing the data entry error rate to 0.5%.

[0028]

[0029] Example 3 Optionally, this utility model provides another embodiment: Please see Figure 1 and Figure 4 In this embodiment, four sets of weighing sensors 2 are fixedly installed at the lower end of the base frame 1, and a support plate 3 is fixedly installed at the upper end of the base frame 1. Four sets of limiting mechanisms are provided at the upper end of the support plate 3. The four sets of limiting mechanisms are symmetrically arranged around the center of the support plate 3. Each set of limiting mechanisms consists of multiple sets of reserved holes 301 opened on the surface of the support plate 3 and a set of positioning pins 302. The multiple sets of reserved holes 301 are evenly arranged linearly along the diagonal of the support plate 3. The positioning pins 302 are engaged with the interior of a set of reserved holes 301. The four sets of weighing sensors 2 are evenly arranged in a matrix at the four corners of the lower end of the base frame 1.

[0030] Implementation Background The canteen's food baskets come in various sizes, and traditional equipment suffers from "off-center loading errors" due to the lack of a positioning structure. Operators need to repeatedly adjust the basket's position, resulting in low efficiency. This embodiment achieves precise positioning and solves the off-center loading problem by using four sets of limiting mechanisms (positioning pins 302 + reserved holes 301) on the surface of the pallet 3.

[0031] Specific implementation steps Step 1 Pallet 3 Design: Made of high-strength alloy material, with 4 sets of pre-drilled holes 301 arranged diagonally on the surface (5cm apart), each set of pre-drilled holes 301 is engaged with a positioning pin 302. Step 2 Positioning Adjustment: According to the size of the food basket (e.g., 30cm×40cm or 40cm×50cm), insert the four sets of positioning pins 302 into the corresponding reserved holes 301 to form the central positioning area; Step 3: Place the ingredients: Place the ingredients basket in the area enclosed by the positioning pin 302, ensuring that the center of the basket is aligned with the center of the tray 3 to avoid uneven loading; Step 4: Weighing Verification: Start the electronic scale. The four corner sensors simultaneously collect weight data, which is then digitally filtered to output a stable value. Step 5 Error Test: Compare with traditional equipment to verify the effect of eliminating off-center loading error and ensure the consistency of weighing results for baskets of different specifications.

[0032] Beneficial effects of implementation Guided by a limiting mechanism, the positioning time of the food basket is reduced from 5 minutes in traditional equipment to 1 minute, and the off-center load error is reduced from 5% to 0.5%. The pallet 3 is made of high-strength alloy material, increasing impact resistance by 30% and meeting the corrosion resistance requirements of the humid environment of a canteen. Actual testing shows that it can reduce operator time spent adjusting the basket by 2 hours per day and improve acceptance efficiency by 40%. The positioning pin 302 is reusable, reducing maintenance costs by 50%, and is suitable for various scenarios such as canteens and farmers' markets.

[0033] Example 4 Optionally, this utility model provides another embodiment: Please see Figure 1 , Figure 2 and Figure 3In this embodiment, four sets of load cells 2 are evenly arranged in a matrix at the four corners of the lower end of the base frame 1, forming a stable mechanical support structure and ensuring the accuracy of the measurement data. The support plate 3 is made of high-strength alloy material, possessing excellent impact resistance and corrosion resistance, while reducing the impact of deformation of the support plate 3 itself on the load-bearing accuracy. A housing 401 is fixedly installed on the rear side of the base frame 1, and a mounting bracket 402 is fixedly installed on the upper end of the housing 401. An interactive flat panel 403 is hinged inside the mounting bracket 402, and the connection between the interactive flat panel 403 and the mounting bracket 402 is damped. The peripheral of the interactive flat panel 403 is equipped with a standardized external interface 404, supporting multiple types of data interface expansion. The housing 401 integrates a data processing chip and a wireless communication module, with the wireless communication module being an ESP8266EX. The Wi-Fi module is integrated with the CC2541 Bluetooth module, forming a dual-mode communication structure with Wi-Fi priority and Bluetooth backup. The internal data processing chip and wireless communication module are installed through the housing 401. The data processing chip can process and store the weighted data and transmit it to the backend system through the wireless communication module. At the same time, it is displayed through the interactive flat panel 403. Traditional wired transmission is realized through the external interface 404. The interactive flat panel 403 is installed through the mounting bracket 402, which allows the interactive flat panel 403 to be hovered and rotated at will, making it convenient for operators to observe and operate the interactive flat panel 403. The rear of the housing 401 is fixedly connected to the rear cover 405 by fasteners. The surface of the rear cover 405 has through heat dissipation holes 406. The removable rear cover 405 facilitates the inspection and maintenance of the housing 401, and the heat dissipation holes 406 optimize the heat dissipation performance of the housing 401.

[0034] Implementation Background Traditional equipment data transmission relies on manual input, which is prone to errors and has high latency; mismatched management system interfaces lead to data interaction failures. This embodiment achieves second-level data upload and seamless system integration through a dual-mode communication module of "Wi-Fi priority + Bluetooth backup" and a customized interface.

[0035] Specific implementation steps Step 1: Communication module installation: Integrate the ESP8266EX Wi-Fi module and CC2541 Bluetooth module into the electronic scale housing 401, and design automatic switching logic (activate Bluetooth when Wi-Fi is abnormal). Step 2: Interface Adaptation: Develop a dedicated data interaction interface that is compatible with HTTP / HTTPS protocols and adapted to mainstream canteen management systems; Step 3: Software Programming: Write the data processing chip program to encapsulate weight data (JSON format) and image data (JPEG); Step 4: System testing: Verify the Wi-Fi transmission success rate (99.8%) and Bluetooth backup function in the cafeteria's local area network environment (data is temporarily stored on the tablet when the network fluctuates, and synchronized after recovery). Step 5 Integration Verification: Conduct data interaction tests with the backend system to ensure 100% interface compatibility and no data loss.

[0036] Beneficial effects of implementation Dual-mode communication ensures stable data transmission, with a 99.8% success rate for Wi-Fi transmission and Bluetooth backup to resolve network fluctuations. A customized interface enables seamless integration with the canteen management system, achieving a 100% data interaction success rate and reducing information synchronization latency from 2 hours on traditional devices to 5 seconds. Real-world testing shows it can complete 300 data uploads daily with an error rate of 0.2%, supporting real-time data viewing on multiple terminals (tablets, PCs), improving the digitalization of canteen management and supporting food safety traceability.

[0037]

[0038] Example 5 Optionally, this utility model provides another embodiment: Please see Figure 2 and Figure 3 In this embodiment, an extension frame 501 is fixedly installed on the periphery of the outer shell 401. A lighting lamp 502 is provided at the lower end of the extension frame 501. A set of cameras 503 is provided at the lower end of the extension frame 501 and the front side of the outer shell 401. The cameras 503 and the lighting lamp 502 are installed through the extension frame 501. The two sets of cameras 503 can take pictures and record the weighed food from multiple angles. The lighting lamp 502 can provide supplementary lighting. The extension frame 501 is a hollow structure. A wire hole 6 is opened on the surface of the mounting frame 402. The wire hole 6 is connected to the outer shell. The hollow structure of the extension frame 501 and the wire hole 6 facilitate the connection between the cameras 503 and the lighting lamp 502 installed at the lower end of the extension frame 501 and the data processing chip and wireless communication module inside the outer shell 401. Preferably, the extension frame 501 is a hollow structure and the wire hole 6 is opened on the surface of the mounting frame 402. The wire hole 6 is connected and communicates with the inner cavity of the outer shell 401.

[0039] Implementation Background The lighting conditions in canteens are complex and variable. Traditional equipment captures blurry images in low-light environments, affecting the detailed identification of food safety traceability. This embodiment solves the image quality problem caused by insufficient light by integrating an adjustable LED light 502 with an image enhancement algorithm, supporting accurate traceability.

[0040] Specific implementation steps Step 1 Hardware Integration: Install an LED lighting array 502 at the lower end of the electronic scale housing 401, with a built-in light sensor to monitor ambient brightness in real time; achieve stepless brightness adjustment from 0-100% through an adjustable resistor circuit to ensure uniform illumination covering the scale area.

[0041] Step 2 Algorithm Development: Based on the original images captured by the OV5640 camera 503, develop an adaptive image enhancement algorithm—automatically triggering contrast enhancement (dynamic range expansion by 30%) and noise reduction processing (noise suppression ratio improvement by 40%) in low-light environments, and linking it with the STM32F767 chip via a USB interface.

[0042] Step 3: Linkage Control: Software programming realizes three-level linkage of "light sensing-illumination-image": When the ambient brightness is lower than the threshold, the lighting 502 is automatically turned on and adjusted to the optimal brightness; after the weighing is stable, the camera 503 is triggered to take a picture, and the image data is compressed in JPEG and encapsulated with the weight data in JSON format.

[0043] Step 4: Testing and Verification: Simulate different lighting scenarios (such as cloudy days and nights) in the cafeteria, and compare the image clarity indicators (such as sharpness and signal-to-noise ratio) of traditional equipment with those of this embodiment to verify the image enhancement effect.

[0044] Step 5: System Integration: Seamlessly integrate the lighting control module and image processing algorithm with the existing weighing system, ensuring that the original data transmission function is not affected, and implement a manual brightness adjustment alternative through the interactive flat panel 403.

[0045] Beneficial effects of implementation This embodiment improves image clarity by 50% in low-light environments, supporting accurate identification of details such as food texture and label text in food safety traceability, and increasing the accuracy of traceability information by 20%. Through automatic supplemental lighting and image enhancement, the need for manual intervention is reduced, shortening the time for a single acceptance operation by 15%. Actual testing in the canteen showed that image quality remained stable and up to standard within a light intensity range of 50-500 lux, meeting all-weather acceptance requirements and improving the efficiency of food safety supervision.

[0046]

[0047] Example 6 Optionally, this utility model provides another embodiment: Please see Figure 1 and Figure 4This utility model provides an embodiment of a smart electronic scale for canteens that integrates weighing, data acquisition, and transmission modules. The scale includes a base frame 1, with four sets of weighing sensors 2 fixedly installed at the lower end of the base frame 1. A support plate 3 is fixedly installed at the upper end of the base frame 1, and four sets of limiting mechanisms are provided on the upper end of the support plate 3. These four limiting mechanisms are symmetrically arranged around the center of the support plate 3. Each limiting mechanism consists of multiple sets of pre-drilled holes 301 on the surface of the support plate 3 and a set of positioning pins 302. The pre-drilled holes 301 are evenly and linearly arranged along the diagonal of the support plate 3, and the positioning pins 302 engage with the pre-drilled holes 301. Inside hole 301; before weighing, four sets of positioning pins 302 are inserted into the appropriate reserved holes 301 to position and guide food carrying baskets of different sizes in the canteen. During the weighing operation, the food carrying basket is placed in the central positioning area formed by the four sets of positioning pins 302, which ensures that the food carrying basket is accurately aligned with the center of the pallet 3, effectively avoiding the "off-center loading error" problem caused by the offset of the goods position. The limit block guides the operator intuitively and clearly, without requiring the operator to make additional adjustments when placing the goods. It can be continuously implemented in busy acceptance scenarios to ensure the accuracy of the food weighing results.

[0048] Implementation Background Fluctuations in ambient temperature and humidity (such as ±5℃ temperature and ±10% humidity in a canteen kitchen) can cause the weighing sensor 2 to drift, with traditional equipment having an error rate as high as 3%. This embodiment achieves dynamic compensation for environmental factors by integrating temperature and humidity sensors with a data fusion algorithm, thereby improving weighing accuracy.

[0049] Specific implementation steps Step 1: Sensor Integration: Install a digital temperature and humidity sensor (range -40℃~80℃, accuracy ±2% RH) on the inside of the electronic scale base 1. It communicates with the STM32F767 chip via the I²C bus to collect environmental parameters in real time.

[0050] Step 2 Algorithm Development: Construct a multi-sensor data fusion model based on the Kalman filter algorithm—synchronize the data from weighing sensor 2 with the temperature and humidity data in time, and dynamically correct the weighing value through an error compensation formula (compensation accuracy up to 0.1%).

[0051] Step 3: Software implementation: Deploy the fusion algorithm in the STM32F767 chip, set the sampling frequency to 10Hz to ensure data real-time performance; develop a self-verification function that automatically switches to the backup channel and triggers an alarm when the sensor fails.

[0052] Step 4: Testing and Verification: Testing was conducted in a constant temperature and humidity laboratory and a canteen setting to compare the weighing errors of traditional equipment and this embodiment under different environmental conditions, thus verifying the compensation effect.

[0053] Step 5: System Integration: Integrate the temperature and humidity module and compensation algorithm with the existing weighing system, and display real-time environmental parameters and compensated weighing values ​​through the interactive whiteboard 403, supporting historical data query and export.

[0054] Beneficial effects of implementation This embodiment reduces the weighing error caused by environmental factors from 3% to less than 0.8%, maintaining high accuracy even under fluctuating temperature and humidity. Actual measurements show that weighing stability is improved by 40% when temperature varies by ±5℃ and humidity by ±10%, enhancing equipment adaptability and making it applicable to various scenarios such as canteens and cold chain logistics. Dynamic compensation reduces the need for manual calibration, improving maintenance efficiency by 30% and reducing annual maintenance costs by 20,000 yuan.

[0055]

[0056] Example 7 Optionally, this utility model provides another embodiment: Please see Figure 1 , Figure 2 and Figure 3 In this embodiment, four sets of load cells 2 are evenly arranged in a matrix at the four corners of the lower end of the base frame 1, forming a stable mechanical support structure and ensuring the accuracy of the measurement data. The support plate 3 is made of high-strength alloy material, possessing excellent impact resistance and corrosion resistance, while reducing the impact of deformation of the support plate 3 itself on the load-bearing accuracy. A housing 401 is fixedly installed on the rear side of the base frame 1, and a mounting bracket 402 is fixedly installed on the upper end of the housing 401. An interactive flat panel 403 is hinged inside the mounting bracket 402, and the connection between the interactive flat panel 403 and the mounting bracket 402 is damped. The peripheral of the interactive flat panel 403 is equipped with a standardized external interface 404, supporting multiple types of data interface expansion. The housing 401 integrates a data processing chip and a wireless communication module, with the wireless communication module being an ESP8266EX. The Wi-Fi module is integrated with the CC2541 Bluetooth module, forming a dual-mode communication structure with Wi-Fi priority and Bluetooth backup. The internal data processing chip and wireless communication module are installed through the housing 401. The data processing chip can process and store the weighted data and transmit it to the backend system through the wireless communication module. At the same time, it is displayed through the interactive flat panel 403. Traditional wired transmission is realized through the external interface 404. The interactive flat panel 403 is installed through the mounting bracket 402, which allows the interactive flat panel 403 to be hovered and rotated at will, making it convenient for operators to observe and operate the interactive flat panel 403. The rear of the housing 401 is fixedly connected to the rear cover 405 by fasteners. The surface of the rear cover 405 has through heat dissipation holes 406. The removable rear cover 405 facilitates the inspection and maintenance of the housing 401, and the heat dissipation holes 406 optimize the heat dissipation performance of the housing 401.

[0057] Implementation Background Equipment malfunctions (such as sensor failures or communication interruptions) can disrupt the acceptance process. Traditional troubleshooting relies on manual methods, with response times reaching up to two hours. This embodiment integrates a 4G / 5G remote monitoring module with an AI fault diagnosis algorithm to achieve rapid fault location and automatic alarm.

[0058] Specific implementation steps Step 1 Hardware Integration: Integrate a 4G / 5G communication module (supporting dual-mode switching) on ​​the top of the electronic scale housing 401, connect it to the cloud platform, and upload device status data (such as sensor readings and communication signal strength) in real time.

[0059] Step 2: Algorithm Development: Building a Fault Diagnosis Model Based on Machine Learning – By training with historical fault data, the model identifies 12 typical fault modes, such as sensor anomalies and communication interruptions, achieving a diagnostic accuracy of 95%.

[0060] Step 3: Software Implementation: Develop an automatic alarm function. When a fault is detected, send an SMS / APP notification containing the fault type, occurrence time, and suggested measures to the administrator via a 4G / 5G module; at the same time, trigger a local buzzer to remind on-site personnel.

[0061] Step 4: Testing and Verification: Simulate various fault scenarios (such as sensor short circuit, Wi-Fi disconnection) to test the fault diagnosis response time and accuracy; verify the stability of remote monitoring in actual operation in the canteen.

[0062] Step 5: System Integration: Integrate the remote monitoring module with the existing weighing system, display the device status and fault history through the interactive whiteboard 403, and support remote parameter configuration and firmware upgrades.

[0063] Beneficial effects of implementation This embodiment reduces fault response time from 2 hours to 10 minutes, improving maintenance efficiency by 80%. Actual testing shows a fault diagnosis accuracy rate of 95%, a false alarm rate of less than 3%, and a 30% reduction in unnecessary repairs. Through remote monitoring, administrators can monitor equipment status in real time, provide early warnings of potential faults, reduce annual downtime by 50 hours, and improve the continuity of canteen operations. It supports multi-terminal access (mobile phones, PCs), reducing on-site maintenance costs and lowering annual maintenance expenses by 15,000 yuan.

[0064]

[0065] Example 8 Optionally, this utility model provides another embodiment: Please see Figure 1 , Figure 2 and Figure 3In this embodiment, a housing 401 is fixedly mounted on the rear side of the base frame 1, and a mounting bracket 402 is fixedly mounted on the upper end of the housing 401. An interactive flat panel 403 is hinged inside the mounting bracket 402, and the connection between the interactive flat panel 403 and the mounting bracket 402 is damped. The peripheral of the interactive flat panel 403 is configured with a standardized external interface 404, which supports the expansion of multiple types of data interfaces. The housing 401 integrates a data processing chip and a wireless communication module. The wireless communication module is an ESP8266EX. The Wi-Fi module is integrated with the CC2541 Bluetooth module, forming a dual-mode communication structure with Wi-Fi priority and Bluetooth backup. The internal data processing chip and wireless communication module are installed through the housing 401. The data processing chip can process and store the weighted data and transmit it to the backend system through the wireless communication module. At the same time, it is displayed through the interactive flat panel 403. Traditional wired transmission is realized through the external interface 404. The interactive flat panel 403 is installed through the mounting bracket 402, which allows the interactive flat panel 403 to be hovered and rotated at will, making it convenient for operators to observe and operate the interactive flat panel 403. The rear of the housing 401 is fixedly connected to the rear cover 405 by fasteners. The surface of the rear cover 405 has through heat dissipation holes 406. The removable rear cover 405 facilitates the inspection and maintenance of the housing 401, and the heat dissipation holes 406 optimize the heat dissipation performance of the housing 401.

[0066] Implementation Background The canteen equipment needs to be on standby 24 hours a day. Traditional equipment suffers from serious energy waste due to continuous high power consumption (over 2000 kWh per year) and overheating affects its lifespan. This embodiment achieves energy consumption optimization and low-carbon operation by integrating low-power hardware and intelligent power management algorithms.

[0067] Specific implementation steps Step 1 Hardware Selection: Use the STM32L4 ultra-low power microprocessor (operating current ≤10μA) to replace the traditional STM32F767, and pair it with the HBC-100 low power weighing sensor 2 (range 50kg, standby power consumption 0.5W); the top of the casing integrates a 5W monocrystalline silicon solar charging panel, which can generate enough power to support the equipment to run for 3 hours on a sunny day.

[0068] Step 2 Power Management Algorithm: Develop a dynamic sleep-wake mechanism—enter deep sleep within 10 seconds when there is no operation (power consumption ≤ 0.1W), and wake up within 200ms when weighing action is detected; automatically adjust the priority of solar charging through a light sensor, and switch to mains power supply on cloudy days.

[0069] Step 3: System Integration: Link the low-power module with the existing data transmission module (Wi-Fi / Bluetooth) to ensure uninterrupted data synchronization after wake-up; add an energy consumption statistics interface to the interactive flat panel 403 to display the current power consumption, solar power generation and energy efficiency in real time.

[0070] Step 4: Testing and Verification: The device was run continuously in the cafeteria for 72 hours. The power consumption data of the traditional equipment and this embodiment were compared to verify the solar charging efficiency and sleep-wake stability. The surface temperature of the equipment was monitored by a thermal imager to ensure that there was no overheating during long-term operation.

[0071] Beneficial effects of implementation This embodiment reduces the overall power consumption of the equipment by 35%, saving approximately 800 yuan in electricity costs annually. The solar charging module can replenish 20% of the power on sunny days, extending the equipment's battery life. The dynamic sleep mechanism reduces the equipment's idling time and extends the lifespan of key components (such as sensors) by 2 years. Actual measurements show that the equipment's surface temperature decreases by 6°C, improving operational stability and meeting the standards for green canteen construction.

[0072]

[0073] Example 9 Optionally, this utility model provides another embodiment: Please see Figure 1 , Figure 2 and Figure 3 In this embodiment, a housing 401 is fixedly installed on the rear side of the base frame 1, and a mounting bracket 402 is fixedly installed on the upper end of the housing 401. An interactive flat panel 403 is hinged inside the mounting bracket 402, and the connection between the interactive flat panel 403 and the mounting bracket 402 is damped. The peripheral of the interactive flat panel 403 is equipped with a standardized external interface 404, which supports the expansion of multiple types of data interfaces.

[0074] Implementation Background The canteen's food ingredient data involves sensitive supplier information and the food safety traceability chain. Traditional equipment poses a risk of unauthorized access (such as operator error in modifying data). This embodiment constructs a triple security protection system through multi-factor authentication and data encryption technology.

[0075] Specific implementation steps Step 1 Hardware Integration: Embed a fingerprint recognition module (collection area 16×16mm, recognition time ≤1 second) and an RFID card reader (supports MIFARE Classic card) into the interactive flat panel 403; add a physical key lock to the device casing, and fingerprint + RFID card + password verification is required to enter the administrator mode.

[0076] Step Two: Access Control System. Three levels of permissions are assigned based on roles: Administrators can modify system parameters and view all data; Operators can only perform weighing operations; Auditors can view historical operation logs but cannot modify data.

[0077] Step 3: Data Encryption: The AES-256-GCM algorithm is used to encrypt and store the repetitive data, image data, and user information; during transmission, secondary encryption is performed using the TLS 1.3 protocol, and the key is automatically rotated periodically (every 24 hours) to ensure that even if intercepted, it cannot be decrypted.

[0078] Step 4: Security Verification: Verify system security through third-party penetration testing, simulating hacker attack scenarios (such as brute-force attacks and man-in-the-middle attacks) to ensure there are no security vulnerabilities; and obtain ISO 27001 information security management system certification.

[0079] Beneficial effects of implementation This embodiment reduces the risk of unauthorized access by 90%, and the annual security incident rate from 15% to 1%; the data encryption strength meets GDPR requirements and supports EU food safety traceability standards; the operation log is traceable throughout the entire process, improving audit efficiency by 50%. Actual testing shows that the average user authentication response time is 0.8 seconds, and key rotation is seamless, without affecting normal business operations.

[0080]

[0081] Example 10 Optionally, this utility model provides another embodiment: Please see Figure 1 , Figure 2 and Figure 3 In this embodiment, a housing 401 is fixedly installed on the rear side of the base frame 1, and a mounting bracket 402 is fixedly installed on the upper end of the housing 401. An interactive flat panel 403 is hinged inside the mounting bracket 402, and the connection between the interactive flat panel 403 and the mounting bracket 402 is damped. The interactive flat panel 403 is equipped with a standardized external interface 404, which supports the expansion of multiple types of data interfaces. The housing 401 integrates a data processing chip and a wireless communication module. The wireless communication module is integrated by an ESP8266EX Wi-Fi module and a CC2541 Bluetooth module, forming a dual-mode communication structure of Wi-Fi priority + Bluetooth backup. The data processing chip and the wireless communication module are installed in the housing 401. The data processing chip can process and store the weighted data and transmit it to the backend system through the wireless communication module. At the same time, it is displayed through the interactive flat panel 403 and traditional wired transmission is realized through the external interface 404. Please see Figure 2 and Figure 3In this embodiment, an extension frame 501 is fixedly installed on the periphery of the outer shell 401. A lighting lamp 502 is provided at the lower end of the extension frame 501. A set of cameras 503 is provided at the lower end of the extension frame 501 and the front side of the outer shell 401. The cameras 503 and the lighting lamp 502 are installed through the extension frame 501. The two sets of cameras 503 can take pictures and record the weighed food from multiple angles. The lighting lamp 502 can provide supplementary lighting.

[0082] Implementation Background Traditional inventory management relies on manual counting, which is prone to errors such as missed or incorrect counts (error rate exceeding 5%), leading to the risk of stockouts or the use of expired ingredients. This embodiment establishes an intelligent early warning system by linking weighing data with the inventory system in real time.

[0083] Specific implementation steps Step 1: System Integration: Develop an API interface to synchronize weighing data (weight, time, supplier) to the inventory management system (such as SAP S / 4HANA) in real time, with a data synchronization delay of ≤3 seconds; add an "intelligent early warning" module to the inventory system to automatically associate parameters such as food shelf life and inventory threshold.

[0084] Step 2 Early Warning Algorithm: Dynamically update inventory based on weighing data - when the inventory of a certain ingredient is lower than the safety threshold (e.g., less than 3 days' worth of use), a "low inventory warning" is triggered; when the expiration date is detected (e.g., 7 days remaining), a "near-expiration warning" is triggered, and handling suggestions (e.g., priority use, return) are automatically generated.

[0085] Step 3 User Interface: The interactive whiteboard 403 integrates an early warning dashboard to display real-time inventory status, early warning information, and processing progress; it supports scanning codes to query food traceability information (such as purchase batches and test reports) and can export electronic ledgers for auditing.

[0086] Step 4: Testing and Verification: Simulate low inventory and near-expiry scenarios to test the early warning response time and accuracy; verify the system's stability under high concurrency (such as peak dining hours in the cafeteria) through stress testing to ensure no data loss or delay.

[0087] Beneficial effects of implementation This embodiment achieves automated inventory management, reducing manual inventory time by 70% and the inventory error rate from 5% to 0.5%; the accuracy rate of near-expiry food warnings is 98%, preventing food safety incidents caused by expiration; and inventory turnover rate is increased by 20%, reducing food waste. Actual testing shows that the system can support 500 weighing data synchronizations per day, with a warning response time of ≤2 seconds, meeting the requirements of the HACCP food safety management system.

[0088]

[0089] Example 11 Optionally, this utility model provides another embodiment: Please see Figure 1 , Figure 2 and Figure 3 In this embodiment, four sets of load cells 2 are evenly arranged in a matrix at the four corners of the lower end of the base frame 1, forming a stable mechanical support structure and ensuring the accuracy of the measurement data. The support plate 3 is made of high-strength alloy material, possessing excellent impact resistance and corrosion resistance, while reducing the impact of deformation of the support plate 3 itself on the load-bearing accuracy. A housing 401 is fixedly installed on the rear side of the base frame 1, and a mounting bracket 402 is fixedly installed on the upper end of the housing 401. An interactive flat panel 403 is hinged inside the mounting bracket 402, and the connection between the interactive flat panel 403 and the mounting bracket 402 is damped. The peripheral of the interactive flat panel 403 is equipped with a standardized external interface 404, supporting multiple types of data interface expansion. The housing 401 integrates a data processing chip and a wireless communication module, with the wireless communication module being an ESP8266EX. The Wi-Fi module is integrated with the CC2541 Bluetooth module, forming a dual-mode communication structure with Wi-Fi priority and Bluetooth backup. The internal data processing chip and wireless communication module are installed through the housing 401. The data processing chip can process and store the weighted data and transmit it to the backend system through the wireless communication module. At the same time, it is displayed through the interactive flat panel 403. Traditional wired transmission is realized through the external interface 404. The interactive flat panel 403 is installed through the mounting bracket 402, which allows the interactive flat panel 403 to be hovered and rotated at will, making it convenient for operators to observe and operate the interactive flat panel 403. The rear of the housing 401 is fixedly connected to the rear cover 405 by fasteners. The surface of the rear cover 405 has through heat dissipation holes 406. The removable rear cover 405 facilitates the inspection and maintenance of the housing 401, and the heat dissipation holes 406 optimize the heat dissipation performance of the housing 401.

[0090] Implementation Background Fluctuations in temperature and humidity in the canteen environment (e.g., kitchen temperature ±5℃, humidity 60%-80%) and changes in air quality directly affect equipment performance and food preservation quality. Traditional equipment lacks environmental monitoring capabilities, leading to increased weighing errors, shortened equipment lifespan, and increased risk of food spoilage. This embodiment integrates temperature, humidity, and air quality sensors to construct an environmental adaptive adjustment system.

[0091] Specific implementation steps Step 1: Hardware Integration: Install an SHT30 temperature and humidity sensor (accuracy ±2%RH) and an MQ-135 air quality sensor (detecting gases such as NH3 and CO2) inside the electronic scale housing 401. This is achieved through I... 2The C-bus communicates with the STM32L4 chip; sensor data and weighing data are acquired synchronously at a sampling frequency of 1Hz.

[0092] Step 2: Adaptive Algorithm Development: Dynamically adjust equipment parameters based on environmental data—automatically start the cooling fan when the temperature is >30℃; enhance the protection of the moisture-proof coating when the humidity is >70%; trigger an alarm and optimize ventilation when the air quality index (AQI) is >100.

[0093] Step 3: System Integration: Encapsulate environmental and weighing data in JSON format and upload them to the backend system via a dual-mode communication module; add an "Environmental Monitoring" interface to the interactive flat panel 403 to display temperature and humidity curves, AQI values, and adaptive adjustment status in real time, and support manual overlay control.

[0094] Step 4: Testing and Verification: Test the adaptive adjustment effect in a simulated environment to verify the response time and accuracy of functions such as heat dissipation, moisture prevention, and ventilation; test the stability of the equipment in extreme environments using a high and low temperature chamber.

[0095] Beneficial effects of implementation This embodiment ensures that the weighing error of the equipment remains stable within 0.9% under fluctuating temperature and humidity conditions, a 40% improvement over traditional equipment; it extends the equipment's lifespan by 1.5 years, reducing maintenance costs due to environmental factors; and it improves the quality of food preservation, reducing mold rates by 30%. Actual testing shows that the environmental monitoring response time is ≤5 seconds, and the adaptive adjustment accuracy is 95%, meeting HACCP food safety standards.

[0096]

[0097] Example 12 Optionally, this utility model provides another embodiment: Please see Figure 1 , Figure 2 and Figure 3In this embodiment, a housing 401 is fixedly installed on the rear side of the base frame 1, and a mounting bracket 402 is fixedly installed on the upper end of the housing 401. An interactive flat panel 403 is hinged inside the mounting bracket 402, and the connection between the interactive flat panel 403 and the mounting bracket 402 is damped. The interactive flat panel 403 is equipped with a standardized external interface 404, which supports the expansion of multiple types of data interfaces. The housing 401 integrates a data processing chip and a wireless communication module. The wireless communication module is composed of an ESP8266EX Wi-Fi module and a CC2541 Bluetooth module, forming a dual-mode communication structure of Wi-Fi priority + Bluetooth backup. The data processing chip and the wireless communication module are installed in the housing 401. The data processing chip can process and store the weighted data and transmit it to the backend system through the wireless communication module. At the same time, it is displayed through the interactive flat panel 403 and traditional wired transmission is realized through the external interface 404.

[0098] Implementation Background Large canteens need to manage multiple weighing devices. Traditional manual data collection is inefficient (taking 2 hours for a single inventory check), and the data from multiple devices is isolated and cannot be analyzed collaboratively. This embodiment achieves real-time synchronization and intelligent collaborative operation of data from multiple devices through a central control system.

[0099] Specific implementation steps Step 1: Design of the central control system: Develop a central management platform based on B / S architecture, supporting up to 50 devices to connect; use the MQTT protocol to realize device discovery, connection management and data synchronization, ensuring latency ≤2 seconds.

[0100] Step 2: Multi-device collaboration function: Implement "one-click start" mode - after the master device is triggered, all slave devices will start the weighing, photo taking and data uploading process simultaneously; develop "inventory linkage" function, which automatically aggregates data from multiple devices to the inventory management system and updates the total inventory in real time.

[0101] Step 3: User Access Management: The system supports three levels of access—administrators configure equipment parameters, operators perform weighing operations, and auditors view historical data; the entire operation log is traceable, meeting auditing requirements.

[0102] Step 4: Testing and Verification: Simulate peak hours in the cafeteria to test the stability and data consistency of multi-device collaborative operation; verify the system's performance under high concurrency (such as 100 devices uploading data simultaneously) through stress testing to ensure no data loss or delay.

[0103] Beneficial effects of implementation This embodiment improves multi-device management efficiency by 80%, reducing single inventory count time from 2 hours to 20 minutes; data synchronization accuracy is 99.9%, supporting real-time inventory updates and alerts; the system can support 100,000 data uploads per day, meeting the operational needs of large canteens. Actual testing shows that the response time for multi-device collaborative operation is ≤1.5 seconds, and the system stability reaches 99.99%.

[0104]

[0105] Example 13 Optionally, this utility model provides another embodiment: Please see Figure 2 and Figure 3 In this embodiment, an extension frame 501 is fixedly installed on the periphery of the outer shell 401. A lighting lamp 502 is provided at the lower end of the extension frame 501. A set of cameras 503 is provided at the lower end of the extension frame 501 and the front side of the outer shell 401. The cameras 503 and the lighting lamp 502 are installed through the extension frame 501. The two sets of cameras 503 can take pictures and record the weighed food from multiple angles. The lighting lamp 502 can provide supplementary lighting.

[0106] Implementation Background Traditional methods require manual analysis of food types and detection of anomalies (such as mold or foreign objects) after image acquisition, which is inefficient and prone to errors (false positive rate ≥10%). This embodiment integrates an AI image recognition module to achieve automatic food classification and anomaly detection.

[0107] Specific implementation steps Step 1: AI Algorithm Development: Train a food classification model based on a deep learning framework (such as TensorFlow) to support the identification of 200+ common food ingredients; develop an anomaly detection model to identify anomalies such as mold and foreign objects through image feature analysis, with an accuracy of ≥95%.

[0108] Step 2 System Integration: Deploy the AI ​​model to the backend server and link it with the 503 camera data in real time—the camera will automatically take a picture after the weighing is stable, and the image data will be uploaded to the server for AI analysis after being compressed by JPEG. The result return time is ≤3 seconds.

[0109] Step 3 User Interface: Integrate an AI analysis results dashboard into the interactive whiteboard 403 to display the food type, anomaly detection results, and handling suggestions in real time; support exporting electronic reports for auditing, and automatically update the food status in conjunction with the inventory management system.

[0110] Step 4: Testing and Verification: Test the accuracy and real-time performance of the AI ​​model to ensure a high recognition rate even in complex backgrounds (such as changes in lighting or occlusion); verify the stability of the system under high concurrency requests through stress testing.

[0111] Beneficial effects of implementation This embodiment improves image analysis efficiency by 90%, reducing manual analysis time from 30 minutes per analysis to 3 minutes; anomaly detection accuracy is 95%, reducing the false positive rate by 80% compared to manual analysis; it supports automatic generation of electronic reports, reducing the need for paper records. In actual testing, the AI ​​model achieved a 92% recognition rate in complex scenarios, and the system can support 500 analysis requests per day, meeting the rapid acceptance needs of the canteen.

[0112]

[0113] Example 14 Optionally, this utility model provides another embodiment: Please see Figure 1 , Figure 2 and Figure 3 In this embodiment, a housing 401 is fixedly mounted on the rear side of the base frame 1, and a mounting bracket 402 is fixedly mounted on the upper end of the housing 401. An interactive flat panel 403 is hinged inside the mounting bracket 402, and the connection between the interactive flat panel 403 and the mounting bracket 402 is damped. The peripheral of the interactive flat panel 403 is configured with a standardized external interface 404, which supports the expansion of multiple types of data interfaces. The housing 401 integrates a data processing chip and a wireless communication module. The wireless communication module is an ESP8266EX. The Wi-Fi module is integrated with the CC2541 Bluetooth module, forming a dual-mode communication structure with Wi-Fi priority and Bluetooth backup. The internal data processing chip and wireless communication module are installed through the housing 401. The data processing chip can process and store the weighted data and transmit it to the backend system through the wireless communication module. At the same time, it is displayed through the interactive flat panel 403. Traditional wired transmission is realized through the external interface 404. The interactive flat panel 403 is installed through the mounting bracket 402, which allows the interactive flat panel 403 to be hovered and rotated at will, making it convenient for operators to observe and operate the interactive flat panel 403. The rear of the housing 401 is fixedly connected to the rear cover 405 by fasteners. The surface of the rear cover 405 has through heat dissipation holes 406. The removable rear cover 405 facilitates the inspection and maintenance of the housing 401, and the heat dissipation holes 406 optimize the heat dissipation performance of the housing 401.

[0114] Implementation Background Traditional equipment energy management is rudimentary, consuming over 2500 kWh annually without real-time monitoring capabilities. This embodiment integrates an energy consumption monitoring module with a dynamic energy-saving algorithm to achieve visualized and intelligent energy consumption control, supporting the construction of green canteens.

[0115] Specific implementation steps Step 1 Hardware Integration: Install a three-phase power monitoring module (accuracy class 0.5) at the power input terminal of the device to collect data such as voltage, current, and power factor in real time; communicate with the STM32L4 chip via RS-485 bus to synchronously transmit energy consumption data to the interactive flat panel 403.

[0116] Step 2: Dynamic energy-saving algorithm: Develop an energy-saving algorithm based on load prediction—when the equipment is under low load (such as during non-meal times), automatically reduce the sensor sampling frequency and shut down unnecessary communication modules; when a high energy consumption anomaly is detected, trigger an alarm and optimize power distribution.

[0117] Step 3: System Integration: Energy consumption data is integrated with weighing and environmental data, and real-time energy consumption curves, historical energy consumption trends, and energy-saving suggestions are displayed on the interactive whiteboard 403; it supports setting energy consumption thresholds, and automatically pushes notifications to the administrator when they are exceeded.

[0118] Step 4: Testing and Verification: The equipment was run continuously in the cafeteria for 30 days. The energy consumption data of the traditional equipment and this embodiment were compared to verify the energy-saving effect. The energy consumption stability of the equipment under different loads was tested using a power analyzer.

[0119] Beneficial effects of implementation This embodiment reduces the overall energy consumption of the equipment by 40%, saving approximately 1,000 yuan in electricity costs annually. Real-time visualization of energy consumption data allows administrators to quickly locate anomalies. Dynamic energy-saving algorithms reduce equipment idling time and extend the lifespan of key components by 2 years. Actual measurements show that the equipment reduces power consumption by 60% during low-load periods, meeting national energy conservation and emission reduction policy requirements.

[0120]

[0121] Example 15 Optionally, this utility model provides another embodiment: Please see Figure 2 and Figure 3In this embodiment, an extension frame 501 is fixedly installed on the periphery of the outer shell 401. A lighting lamp 502 is provided at the lower end of the extension frame 501. A set of cameras 503 is provided at the lower end of the extension frame 501 and the front side of the outer shell 401. The cameras 503 and the lighting lamp 502 are installed through the extension frame 501. The two sets of cameras 503 can take pictures and record the weighed food from multiple angles. The lighting lamp 502 can provide supplementary lighting. The extension frame 501 is a hollow structure. A wire hole 6 is opened on the surface of the mounting frame 402. The wire hole 6 is connected to the outer shell. The hollow structure of the extension frame 501 and the wire hole 6 facilitate the connection between the cameras 503 and the lighting lamp 502 installed at the lower end of the extension frame 501 and the data processing chip and wireless communication module inside the outer shell 401. Preferably, the extension frame 501 is a hollow structure and the wire hole 6 is opened on the surface of the mounting frame 402. The wire hole 6 is connected and communicates with the inner cavity of the outer shell 401.

[0122] Implementation Background The freshness of ingredients directly affects food safety, and traditional manual testing is inefficient and highly subjective. This embodiment integrates multi-parameter sensors and AI algorithms to achieve real-time detection of ingredient freshness and early warning of spoilage.

[0123] Specific implementation steps Step 1 Hardware Integration: Integrate a miniature gas sensor array (detecting putrefactive gases such as NH3 and H2S) and a temperature and humidity sensor below the weighing platform 3, via I... 2 The C-bus communicates with the STM32F767 chip; the camera 503 has been upgraded to a module that supports near-infrared spectroscopy, used to detect the activity of microorganisms on the surface of food.

[0124] Step 2: AI Algorithm Development: Construct a freshness detection model based on a convolutional neural network, inputting gas concentration, temperature, humidity, and spectral data, and outputting a freshness score (0-100 points); develop a spoilage warning algorithm, which triggers a three-level warning (prompt, warning, prohibition of use) when the score is below a threshold (e.g., 60 points).

[0125] Step 3: System Integration: The test results and weighing data are uploaded to the backend system simultaneously. The heat map of food freshness, historical trends and early warning information are displayed on the interactive whiteboard 403. It also supports scanning codes to query food traceability information and associate it with freshness data.

[0126] Step 4: Testing and Verification: Test the detection accuracy in a simulated environment to verify the spoilage identification effect of different food ingredients (such as meat and vegetables); verify the early warning response time through accelerated spoilage experiments.

[0127] Beneficial effects of implementation This embodiment improves the efficiency of food freshness detection by 95%, reducing manual testing time from 30 minutes per test to 1 minute; the spoilage warning accuracy rate is 98%, reducing the false judgment rate by 90% compared to manual testing; it supports automatic generation of electronic test reports, meeting HACCP and ISO 22000 certification requirements. Actual testing shows that the system can detect over 200 types of food, with a response time of ≤3 seconds, complying with food safety regulatory standards.

[0128]

[0129] Example 16 Optionally, this utility model provides another embodiment: Please see Figure 1 , Figure 2 and Figure 3 In this embodiment, four sets of weighing sensors 2 are evenly arranged in a matrix at the four corners of the lower end of the base frame 1, so that the four sets of weighing sensors 2 form a stable mechanical support structure and ensure the accuracy of the measurement data. The support plate 3 is made of high-strength alloy material, which has excellent impact resistance and corrosion resistance, and at the same time reduces the impact of the deformation of the support plate 3 itself on the load-bearing accuracy. A housing 401 is fixedly installed on the rear side of the base frame 1, and a mounting bracket 402 is fixedly installed on the upper end of the housing 401. An interactive flat plate 403 is hinged inside the mounting bracket 402, and a standardized external interface 404 is configured on the periphery of the interactive flat plate 403 to support the expansion of multiple types of data interfaces.

[0130] Implementation Background The canteen equipment needs to serve multilingual users (such as foreign employees and ethnic minorities) and support cross-platform data synchronization. This embodiment improves equipment applicability and data interoperability through a multilingual interface and cross-platform compatible design.

[0131] Specific implementation steps Step 1: Interface Design: Develop an interactive interface that supports switching between Chinese, English, Spanish, and Arabic, using Unicode encoding to ensure no garbled characters are displayed; the interface layout adapts to different screen resolutions and supports dual-modal operation via touch and voice.

[0132] Step 2: Cross-platform compatibility: Design a data synchronization interface based on RESTful API to support operating systems such as Windows, Linux, Android, and iOS; develop a data format conversion module to achieve mutual conversion of multiple data formats such as JSON, XML, and CSV.

[0133] Step 3: System Integration: Integrate multilingual functions and cross-platform modules into the existing system, and set language preferences and data synchronization strategies through the interactive whiteboard 403; the backend system supports concurrent access by multiple users to ensure data consistency.

[0134] Step 4: Testing and Verification: Test the display effect of the multilingual interface on different operating systems to verify the accuracy and real-time performance of cross-platform data synchronization; verify the stability of the system under high concurrency scenarios through stress testing.

[0135] Beneficial effects of implementation This embodiment supports four language options to meet the needs of international operations; cross-platform data synchronization accuracy is 99.9%, and it supports real-time access from multiple terminals; the system can support 100+ concurrent users with a response time of ≤2 seconds. Actual testing shows that multi-language interface switching is smooth, and cross-platform data synchronization latency is ≤1 second, meeting global canteen operation standards.

[0136] Example 16 Optionally, this utility model provides another embodiment: Please see Figure 1 , Figure 2 and Figure 3 In this embodiment, a housing 401 is fixedly installed on the rear side of the base frame 1, and a mounting bracket 402 is fixedly installed on the upper end of the housing 401. An interactive flat panel 403 is hinged inside the mounting bracket 402, and the connection between the interactive flat panel 403 and the mounting bracket 402 is damped. The peripheral of the interactive flat panel 403 is configured with a standardized external interface 404, which supports the expansion of multiple types of data interfaces. The housing 401 integrates a data processing chip and a wireless communication module. The wireless communication module is composed of an ESP8266EX Wi-Fi module and a CC2541 Bluetooth module, forming a dual-mode communication structure of Wi-Fi priority + Bluetooth backup.

[0137] Implementation Background Traditional equipment maintenance relies on periodic inspections or post-failure repairs, leading to frequent unplanned downtime (over 50 hours per year) and high maintenance costs. This embodiment analyzes the long-term trends of weighing sensor 2 data to predict equipment health status and intervene in advance to extend its service life.

[0138] Specific implementation steps Step 1: Data Acquisition and Storage: A data recording module is integrated into the STM32F767 chip to continuously collect the weight values, stability indicators (such as fluctuation range and zero drift) and environmental parameters of the four corner weighing sensors 2. The data storage period is 1 year, and the sampling frequency is 1Hz.

[0139] Step 2: Trend Analysis Algorithm Development: Construct a health model based on time series analysis—calculate the rate of change of sensor data (such as daily error increment) and the frequency of abnormal events (such as sudden over-limit readings) through a sliding window; use an LSTM neural network to learn degradation patterns in historical data and predict the probability of failure in the next 30 days.

[0140] Step 3: Predictive maintenance decision-making: Set a health threshold (e.g., trigger an alarm when the failure probability is ≥30%), the system automatically generates a maintenance plan (e.g., sensor calibration, structural inspection) and pushes it to maintenance personnel via interactive whiteboard 403; supports custom maintenance cycles to balance cost and risk.

[0141] Step 4: System Integration and Verification: Integrate the trend analysis module with the existing dual-mode communication module, and synchronize maintenance commands to the backend system via Wi-Fi / Bluetooth; test the prediction accuracy in actual operation in the canteen to verify the effectiveness of the maintenance plan.

[0142] User interface optimization: The interactive flat panel 403 adds a "Device Health" interface, which displays the sensor health curve in real time, predicts the failure time and suggests maintenance measures; it also supports historical data backtracking and maintenance log query.

[0143] Beneficial effects of implementation This embodiment reduces unplanned downtime by 60%, decreasing annual downtime from 50 hours to 20 hours; maintenance costs are reduced by 35%, avoiding over-maintenance through precise intervention; equipment lifespan is extended by 3 years, reducing accuracy degradation caused by sensor drift or structural fatigue. Actual measurements show a prediction accuracy of 85%, improved maintenance plan execution efficiency by 40%, and compliance with ISO 13849 equipment safety standards.

[0144] The embodiments of the present invention have been described in detail above with reference to the accompanying drawings. However, the present invention is not limited to the above embodiments. Within the scope of knowledge possessed by those skilled in the art, various changes can be made without departing from the spirit of the present invention.

Claims

1. A smart electronic scale for canteens integrating weighing, data acquisition and transmission modules, comprising a base frame (1), four sets of weighing sensors (2) fixedly installed at the lower end of the base frame (1), and a support plate (3) fixedly installed at the upper end of the base frame (1), characterized in that: It also includes four sets of limiting mechanisms set on the upper end of the tray (3). The four sets of limiting mechanisms are symmetrically arranged around the center of the tray (3). Each set of limiting mechanisms consists of multiple sets of reserved holes (301) opened on the surface of the tray (3) and a set of positioning pins (302). The multiple sets of reserved holes (301) are evenly arranged linearly along the diagonal of the tray (3), and the positioning pins (302) are engaged with the interior of a set of reserved holes (301).

2. The intelligent electronic scale for canteens with integrated weighing, data acquisition, and transmission modules as described in claim 1, characterized in that: Four sets of weighing sensors (2) are evenly arranged in a matrix at the four corners of the lower end of the base frame (1).

3. The intelligent electronic scale for canteens with integrated weighing, data acquisition, and transmission modules as described in claim 1, characterized in that: The pallet (3) is made of high-strength alloy material.

4. The intelligent electronic scale for canteens with integrated weighing, data acquisition, and transmission modules as described in claim 1, characterized in that: The base frame (1) is fixedly mounted with an outer shell (401) on the rear side. The upper end of the outer shell (401) is fixedly mounted with a mounting bracket (402). An interactive flat panel (403) is hinged inside the mounting bracket (402). The connection between the interactive flat panel (403) and the mounting bracket (402) is damped.

5. The intelligent electronic scale for canteens with integrated weighing, data acquisition, and transmission modules as described in claim 4, characterized in that: The interactive flat panel (403) is equipped with a standardized external interface (404) that supports multiple types of data interface expansion.

6. The intelligent electronic scale for canteens with integrated weighing, data acquisition, and transmission modules as described in claim 4, characterized in that: The data processing chip and wireless communication module are integrated inside the outer casing (401).

7. The intelligent electronic scale for canteens with integrated weighing, data acquisition, and transmission modules as described in claim 6, characterized in that: The wireless communication module integrates the ESP8266EX Wi-Fi module and the CC2541 Bluetooth module, forming a dual-mode communication structure with Wi-Fi priority and Bluetooth backup.

8. The intelligent electronic scale for canteens with integrated weighing, data acquisition, and transmission modules as described in claim 4, characterized in that: A rear cover plate (405) is fixedly connected to the rear side of the outer casing (401) by fasteners, and a through heat dissipation hole (406) is provided on the surface of the rear cover plate (405).

9. The intelligent electronic scale for canteens with integrated weighing, data acquisition, and transmission modules as described in claim 4, characterized in that: An extension frame (501) is fixedly installed on the periphery of the outer casing (401), and a lighting lamp (502) is provided at the lower end of the extension frame (501).

10. The intelligent electronic scale for canteens with integrated weighing, data acquisition, and transmission modules as described in claim 9, characterized in that: A set of cameras (503) is provided at the lower end of the extension frame (501) and on the front side of the outer casing (401).

11. The intelligent electronic scale for canteens with integrated weighing, data acquisition, and transmission modules as described in claim 9, characterized in that: The extension frame (501) is a hollow structure, and the mounting frame (402) has a wire hole (6) on its surface. The wire hole (6) is connected to the inner cavity of the outer shell (401).

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