Multi-age square leaf cutting machine

Abstract

The utility model discloses a kind of multi-age square leaf mulberry leaf cutting machines. Including power management, data processing and multiple modules and mulberry leaf cutting machine state detection device. Mulberry leaf cutting machine state detection device monitors equipment temperature, vibration and other data in real time, and data acquisition module completes mulberry leaf weight and quality detection. Remote monitoring is realized through communication module, and control module accurately regulates and controls mulberry leaf cutting process. The equipment can intelligently adapt to different age period mulberry leaf processing needs, has fault early warning, data management function, significantly improves mulberry leaf processing efficiency and quality, and provides technical support for sericulture modernization.

Description

Technical Field

[0001] This utility model relates to the field of silkworm farming, specifically a multi-stage square leaf-cutting mulberry machine. Background Technology

[0002] In the sericulture industry, mulberry leaf cutting is a crucial step. Traditional mulberry leaf cutters are mostly mechanical in structure, which has many drawbacks. First, the cutting parameters are fixed, making it difficult to adapt to the different needs of silkworms at different ages for the size and shape of mulberry leaves, resulting in wasted leaves or poor feeding by the silkworms. Second, they lack real-time monitoring capabilities, making it impossible to effectively monitor the equipment's operating status (such as temperature, vibration, and noise), and it is difficult to detect potential equipment failures in a timely manner, easily leading to downtime losses. Third, their data processing capabilities are weak, failing to provide data support for production management. With the development of sericulture towards large-scale and intelligent operations, there is an urgent need to develop a multi-age square leaf cutter that can be precisely controlled and intelligently monitored. Utility Model Content

[0003] The purpose of this utility model is to overcome the shortcomings of the prior art and provide a multi-age square leaf mulberry cutter, including a mulberry cutter, a power management module, a data processing module, a data storage module, a data acquisition module, a communication module, a control module, and a mulberry cutter status detection device;

[0004] The power management module, data storage module, data acquisition module, communication module, control module, and mulberry cutter status detection device are all connected to the data processing module; the mulberry cutter is connected to the control module.

[0005] Preferably, the mulberry cutter status detection device includes a temperature data acquisition module, a vibration data acquisition module, a noise data acquisition module, a displacement monitoring module, and a data transmission device;

[0006] The temperature data acquisition module, vibration data acquisition module, noise data acquisition module, and displacement monitoring module are respectively connected to the data transmission device; the data transmission device is connected to the data processing module.

[0007] Preferably, the temperature data acquisition module includes multiple temperature sensors and an analog-to-digital converter; the multiple temperature sensors are respectively connected to the analog-to-digital converter; and the analog-to-digital converter is connected to the data processing module.

[0008] Preferably, the vibration data acquisition module includes a vibration sensor, and the vibration sensor is connected to the data processing module.

[0009] Preferably, the noise data acquisition module includes a noise sensor and a second analog-to-digital converter; the noise sensor is connected to the second analog-to-digital converter; and the second analog-to-digital converter is connected to the data processing module.

[0010] Preferably, the displacement monitoring module includes a displacement sensor and a third analog-to-digital converter; the displacement sensor is connected to the third analog-to-digital converter; and the third analog-to-digital converter is connected to the data processing module.

[0011] Preferably, the data acquisition module includes a mulberry leaf weighing module and a mulberry leaf data acquisition module; the mulberry leaf weighing module and the mulberry leaf data acquisition module are respectively connected to the data processing module.

[0012] Preferably, the data processing module uses an ARM microprocessor.

[0013] Preferably, the power management module includes a voltage regulator module and a power interface; the power interface is connected to the data processing module through the voltage regulator module.

[0014] The beneficial effects of this utility model are as follows: In terms of precision processing, the data acquisition module and the control module work together. Based on the information such as the age and quality of the mulberry leaves obtained by the mulberry leaf data acquisition module, the control module can accurately adjust the cutting parameters, such as the blade speed, cutting force and block size, so that the mulberry leaf cutting specifications can be perfectly adapted to the feeding needs of silkworms of different ages.

[0015] Secondly, it excels in intelligent monitoring and fault prevention capabilities. The condition monitoring device of the mulberry cutter collects data on equipment temperature, vibration, noise, displacement, etc. in real time. Once an anomaly is detected, the data processing module immediately triggers an early warning. Attached Figure Description

[0016] Figure 1 This is a schematic diagram illustrating the principle of a multi-age square leaf-cutting mulberry machine;

[0017] Figure 2 This is a schematic diagram of the status detection device for a mulberry cutter. Detailed Implementation

[0018] The technical solution of this utility model is described in further detail below with reference to the accompanying drawings, but the scope of protection of this utility model is not limited to the following description.

[0019] The features and performance of this utility model will be further described in detail below with reference to embodiments.

[0020] like Figure 1As shown, a multi-age square leaf-cutting mulberry machine includes a mulberry cutter, a power management module, a data processing module, a data storage module, a data acquisition module, a communication module, a control module, and a mulberry cutter status detection device;

[0021] The power management module, data storage module, data acquisition module, communication module, control module, and mulberry cutter status detection device are all connected to the data processing module; the mulberry cutter is connected to the control module.

[0022] The aforementioned mulberry cutter condition detection device includes a temperature data acquisition module, a vibration data acquisition module, a noise data acquisition module, a displacement monitoring module, and a data transmission device;

[0023] The temperature data acquisition module, vibration data acquisition module, noise data acquisition module, and displacement monitoring module are respectively connected to the data transmission device; the data transmission device is connected to the data processing module.

[0024] The temperature data acquisition module includes multiple temperature sensors and an analog-to-digital converter; the multiple temperature sensors are respectively connected to the analog-to-digital converter; the analog-to-digital converter is connected to the data processing module.

[0025] The vibration data acquisition module includes a vibration sensor, which is connected to the data processing module.

[0026] The noise data acquisition module includes a noise sensor and a second analog-to-digital converter; the noise sensor is connected to the second analog-to-digital converter; and the second analog-to-digital converter is connected to the data processing module.

[0027] The displacement monitoring module includes a displacement sensor and a third analog-to-digital converter; the displacement sensor is connected to the third analog-to-digital converter; and the third analog-to-digital converter is connected to the data processing module.

[0028] The data acquisition module includes a mulberry leaf weighing module and a mulberry leaf data acquisition module; the mulberry leaf weighing module and the mulberry leaf data acquisition module are respectively connected to the data processing module.

[0029] The data processing module uses an ARM microprocessor.

[0030] The power management module includes a voltage regulator module and a power interface; the power interface is connected to the data processing module through the voltage regulator module.

[0031] Specifically, this multi-aged square leaf cutter for mulberry leaves includes a power management module, a data processing module, a data storage module, a data acquisition module, a communication module, a control module, and a mulberry cutter status detection device. The power management module provides stable power to the entire system; the data processing module is responsible for data processing and command transmission; the control module receives commands and controls the operation of the mulberry cutter; the communication module enables information exchange between the device and external systems; the data storage module stores data; and the data acquisition module and the mulberry cutter status detection device collect equipment operation data and mulberry leaf-related data.

[0032] The data processing module uses an ARM microprocessor, specifically the STM32H743 series chip, which includes multiple high-speed ADC channels, UART, SPI, and I / O. 2 Type C can meet the connection requirements of various sensors and modules.

[0033] The power management module includes a voltage regulator module and a power interface. The power interface uses a common DC-005 power socket, compatible with various DC power adapters, facilitating connection to different power supply environments. The voltage regulator module uses the LM2596S series switching regulator chip. This chip can stably convert the input voltage to the required DC voltages such as 5V and 3.3V, with an output current of up to 3A. It features high efficiency and low ripple, providing a stable and reliable power supply for data processing, data storage, and data acquisition modules, effectively ensuring stable operation of the equipment in complex power environments. Furthermore, this voltage regulator module integrates overcurrent protection, overvoltage protection, and overheat protection functions, further enhancing the system's safety and reliability.

[0034] The data storage module uses a MicroSD card storage solution, specifically the SanDisk Extreme PRO microSDXC UHS-I card. It can quickly store various data generated during the operation of the mulberry leaf cutter, such as equipment status parameters, mulberry leaf processing data, and fault records. It connects to the data processing module via an SPI interface, enabling real-time data storage and retrieval under the control of the data processing module.

[0035] The communication module supports multiple communication methods to meet the needs of different application scenarios. The wireless communication section uses the SIM800C GSM module and the ESP8266 Wi-Fi module. The SIM800C module supports GSM 850 / 900 / 1800 / 1900MHz quad-band communication, enabling remote data transmission and equipment monitoring. Operators can conveniently monitor and manage the mulberry cutting machine in real time via a mobile app or remote server. The ESP8266 Wi-Fi module supports the 2.4GHz band, with a maximum transmission rate of 150Mbps, suitable for data transmission and equipment configuration within a local area network, enabling interconnection between the mulberry cutting machine and other intelligent devices in the workshop. The wired communication section uses an RS485 communication interface, selecting the SP3485E chip as the RS485 transceiver. This chip supports half-duplex communication, with a communication distance of up to 1200 meters and a maximum transmission rate of 10Mbps, suitable for stable data transmission between devices in the workshop. It can transmit the mulberry cutting machine's operating data to the workshop's central control system for unified management and analysis.

[0036] The control module uses a control circuit based on the TMS320F28335 digital signal processor (DSP). It integrates multiple PWM (pulse width modulation) modules, ADC modules, and GPIO (general purpose input / output) interfaces, enabling precise control of the mulberry cutter's motor speed, blade start / stop, and other actions.

[0037] The temperature data acquisition module includes multiple temperature sensors and an analog-to-digital converter (ADC). The temperature sensors used are DS18B20 digital temperature sensors, which employ a single-bus communication protocol, enabling multi-point temperature measurement with a range of -55℃ to +125℃ and an accuracy of ±0.5℃. Multiple DS18B20 sensors are installed in key parts of the mulberry cutting machine, such as the motor, transmission components, and blades, to monitor temperature changes in each component in real time. The ADC uses the ADS1115 16-bit ADC chip, which... 2 The Type-C interface connects to the data processing module, enabling high-precision conversion of the digital signals output by the DS18B20 sensor and transmission to the data processing module. When overheating of a device component is detected, the data processing module can promptly issue a warning signal.

[0038] The vibration data acquisition module uses the ADXL345 triaxial accelerometer as the vibration sensor. The ADXL345 is a small, thin, ultra-low-power triaxial accelerometer with high resolution (13-bit) and a measurement range set to ±2g, ±4g, ±8g, or ±16g. It operates via SPI or I / O. 2 The C interface connects to the data processing module, enabling real-time acquisition of vibration data from the mulberry cutter during operation.

[0039] The noise data acquisition module consists of a noise sensor and a second analog-to-digital converter (ADC). The noise sensor is a MAX9814 electret microphone module, which integrates a low-noise amplifier and automatic gain control circuitry, effectively acquiring ambient noise signals. The second ADC uses a PCM5102A 24-bit DAC chip, which possesses high-performance audio processing capabilities, through I... 2 The S-interface connects to the data processing module, converting the analog signals collected by the noise sensor into digital signals and transmitting them to the data processing module.

[0040] The displacement monitoring module includes a displacement sensor and a third analog-to-digital converter (ADC). The displacement sensor is a WDD35 precision conductive plastic potentiometer-type sensor. By installing the sensor in components such as the cutter lifting mechanism and the feeding conveyor of the cutting machine, it monitors the displacement changes of these components in real time. The third ADC uses an AD7705 16-bit ADC chip, which connects to the data processing module via an SPI interface. It converts the analog signal output from the displacement sensor into a digital signal and transmits it to the data processing module.

[0041] The data transmission device adopts RS485 bus communication and uses the SN65HVD230 RS485 transceiver chip. This chip supports wide voltage supply (3.3V to 5V), has high anti-interference capability and long-distance transmission characteristics, and can stably transmit data collected by the temperature data acquisition module, vibration data acquisition module, noise data acquisition module, and displacement monitoring module to the data processing module.

[0042] The mulberry leaf weighing module uses the HX711 load cell module. This module consists of an HX711 24-bit A / D converter and a high-precision load cell, specifically the L6E-C3 series. The HX711 chip connects to the data processing module via an SPI interface, enabling high-precision amplification and analog-to-digital conversion of the weak voltage signal acquired by the load cell, thus achieving accurate measurement of the mulberry leaf weight.

[0043] The mulberry leaf data acquisition module uses an industrial camera, specifically a Hikvision MV-CA050-10GM gigabit Ethernet area array camera. This camera has a resolution of 5 megapixels and a frame rate of up to 30fps, enabling it to clearly capture image information of mulberry leaves. By mounting the industrial camera above the feed inlet of the mulberry cutter, it captures real-time images of the mulberry leaves entering the equipment.

[0044] After the equipment starts up, the power management module connects to an external power source via the power interface, and the power is then converted by the voltage regulator module to supply power to each module. After the data processing module completes initialization, it receives processing parameters set by the operator, such as the age of mulberry leaves and cutting dimensions, through the communication module.

[0045] When the mulberry leaf cutter starts working, the mulberry leaf data acquisition module uses an industrial camera to capture images of the mulberry leaves and transmits the image data to the data processing module for analysis. Simultaneously, the mulberry leaf weighing module measures the weight of the mulberry leaves in real time and feeds it back to the data processing module. Based on the analysis results and preset processing parameters, the data processing module sends instructions to the control module to control the mulberry leaf cutter's feeding speed, blade speed, and cutting force.

[0046] During the operation of the mulberry cutter, the temperature data acquisition module, vibration data acquisition module, noise data acquisition module, and displacement monitoring module of the mulberry cutter status monitoring device collect real-time data on the temperature, vibration, noise, and displacement of various components of the equipment. This data is then transmitted to the data processing module via a data transmission device. The data processing module analyzes and processes this data in real time. If any abnormal operating parameters are detected, such as excessively high temperature, excessive vibration, or abnormal noise, it immediately sends a warning signal to the operator via the communication module. Based on the preset fault handling strategy, it controls the mulberry cutter to suspend operation or adjust its operating status to ensure the safe and stable operation of the equipment.

[0047] After processing is completed, the data processing module stores relevant data from the processing, such as mulberry leaf weight, processing time, and equipment operating parameters, into the data storage module. The data can also be uploaded to a remote server or workshop control system via the communication module for management personnel to perform data analysis and production management.

[0048] Intelligent Mulberry Cutting Solution for Small-Scale Silkworm Farms

[0049] In a small silkworm farm, the breeding scale is about 50 sheets of silkworm eggs, and the daily demand for mulberry leaves is about 200-300 kg. Due to the limited space, there are high requirements for the size and flexibility of the mulberry leaf cutter.

[0050] Based on this requirement, a compact, multi-age square leaf-cutting mulberry machine was selected. The STM32H743 chip in the data processing module adopts a minimum system board design, effectively reducing the size of the equipment while retaining its powerful data processing capabilities. The power management module uses a 12V DC power adapter adapted to the power environment of a small farm, connected through a DC-005 power socket, and converted to the required 5V and 3.3V voltages by an LM2596S voltage regulator chip to provide stable power to the equipment.

[0051] Regarding the communication module, considering the limited network coverage at the farm, the ESP8266 Wi-Fi module is primarily used. This module connects to the farm's wireless router, enabling local area network communication between the mulberry leaf cutter and the farmer's mobile app. Farmers can set parameters such as mulberry leaf age and cutting size on their phones, and view the equipment's operating status and processing data in real time.

[0052] During the mulberry leaf cutting process, the Hikvision MV-CA050-10GM industrial camera in the mulberry leaf data acquisition module captures real-time images of the mulberry leaves entering the equipment. The data processing module uses lightweight image processing algorithms to quickly determine the maturity and freshness of the mulberry leaves. When a tender mulberry leaf is detected, the control module immediately adjusts the cutting speed of the mulberry leaf cutting blade from the usual 80 rpm to 50 rpm, and the cutting force is also reduced accordingly to avoid damaging the mulberry leaves. At the same time, the HX711 weighing sensor module of the mulberry leaf weighing module monitors the weight of the feed in real time. When the weight reaches the preset value, the feeding is automatically paused to ensure that the amount of mulberry leaves cut each time is uniform.

[0053] The mulberry leaf processing machine's status monitoring device continues to function. When the DS18B20 temperature sensor in the temperature data acquisition module detects that the motor temperature has reached 65℃ (exceeding the preset threshold of 60℃), the data processing module quickly sends an early warning message to the farmer's mobile phone through the communication module and automatically reduces the motor speed. After the temperature drops, it resumes normal operation, effectively preventing the equipment from being damaged due to overheating and ensuring the stable operation of the equipment and the processing quality of the mulberry leaves.

Claims

1. A multi-age square leaf cutting machine, comprising a cutting machine, characterized in that, It includes a power management module, a data processing module, a data storage module, a data acquisition module, a communication module, a control module, and a mulberry cutter status detection device; The power management module, data storage module, data acquisition module, communication module, control module, and mulberry cutter status detection device are all connected to the data processing module; the mulberry cutter is connected to the control module.

2. The multi-age square leaf-cutting mulberry machine according to claim 1, characterized in that, The aforementioned mulberry cutter condition detection device includes a temperature data acquisition module, a vibration data acquisition module, a noise data acquisition module, a displacement monitoring module, and a data transmission device; The temperature data acquisition module, vibration data acquisition module, noise data acquisition module, and displacement monitoring module are respectively connected to the data transmission device; the data transmission device is connected to the data processing module.

3. A multi-age square leaf-cutting mulberry machine according to claim 2, characterized in that, The temperature data acquisition module includes multiple temperature sensors and an analog-to-digital converter; the multiple temperature sensors are respectively connected to the analog-to-digital converter; the analog-to-digital converter is connected to the data processing module.

4. A multi-age square leaf-cutting mulberry machine according to claim 2, characterized in that, The vibration data acquisition module includes a vibration sensor, which is connected to the data processing module.

5. The multi-age block leaf cutting machine of claim 2, wherein, The noise data acquisition module includes a noise sensor and a second analog-to-digital converter; the noise sensor is connected to the second analog-to-digital converter; and the second analog-to-digital converter is connected to the data processing module.

6. A multi-age square leaf-cutting mulberry machine according to claim 2, characterized in that, The displacement monitoring module includes a displacement sensor and a third analog-to-digital converter; the displacement sensor is connected to the third analog-to-digital converter; and the third analog-to-digital converter is connected to the data processing module.

7. A multi-age square leaf-cutting mulberry machine according to claim 3, characterized in that, The data acquisition module includes a mulberry leaf weighing module and a mulberry leaf data acquisition module; the mulberry leaf weighing module and the mulberry leaf data acquisition module are respectively connected to the data processing module.

8. A multi-age square leaf-cutting mulberry machine according to claim 1, characterized in that, The data processing module uses an ARM microprocessor.

9. The multi-age block leaf cutting machine of claim 1, wherein, The power management module includes a voltage regulator module and a power interface; the power interface is connected to the data processing module through the voltage regulator module.

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