Corn harvester alarm device based on Internet of Things
Through the alarm device integrating the Internet of Things technology on the corn harvester, the radar antenna and 4G module detect the human body and the alarm is issued simultaneously inside and outside the harvester, and the vibration ringing reminder is solved through the mobile terminal and management center equipment, the existing technology is unable to solve the problem. At the same time, the problems of personnel inside and outside the cockpit are reminded, which improves safety and reduces costs.
Patent Information
- Application Number
- CN202323215421.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Utility models(China)
- Current Assignee / Owner
- Filing Date
- 2023-11-28
- Publication Date
- 2024-12-13
- Estimated Expiration
- 2033-11-28
AI Technical Summary
The alarm device of existing corn harvesters cannot effectively remind people inside and outside the cockpit at the same time, resulting in a high frequency of safety accidents.
Design a corn harvester alarm device based on the Internet of Things, using MCU microcontroller, human identification module, 4G module and alarm system. After detecting the human body through the radar antenna, the Internet of Things technology is used to issue an alarm at the same time inside and outside the harvester, and through mobile Terminal and management center terminal equipment provide vibrating ringing reminders.
It realizes the timely alarms can be issued both inside and outside the harvester, improves safety, reduces the probability of accidents, and has low cost of equipment and is easy to maintain and upgrade.
Smart Images
Figure CN222167725U_ABST
Abstract
Description
Technical Field
[0001] The utility model relates to the technical field of harvester alarms, in particular to an alarm device for a corn harvester based on the Internet of Things. Background Art
[0002] Corn harvesting machinery at home and abroad is developing in the direction of large-scale, specialization, automation and intelligence. At the same time, with the continuous advancement of the government's agricultural benefit policies, the mechanized corn harvesting method has become more mature. Summer harvest and summer planting, autumn harvest and autumn planting are seasons where agricultural machinery safety accidents are very likely to occur. During the operation of the corn harvester, one is that the corn crops grow high and the driver's vision is blocked. Second, the corn harvester is large in size, and the harvester has poor vision when reversing, which becomes a blind spot, making it very easy to cause safety accidents. The corn harvester's human recognition alarm technology can detect when there are people around, and issue an alarm in time to avoid injuries, which greatly improves the safety of the corn harvester and ensures the life safety of farmers when harvesting crops.
[0003] At present, the alarm device on the corn harvester is not perfect, and the effect is not obvious when the alarm is triggered. The existing corn harvesters use simple sound and light alarms. Although this technology can indeed remind the driver to a certain extent, the reminder is not obvious enough, and corn harvester injuries still occur. The main reason is that the environment when the harvester is working is noisy and is greatly affected by the environment. A separate alarm system is easy to affect outdoor personnel or cockpit personnel to fail to notice the alarm system.
[0004] On this basis, the utility model provides a corn harvester alarm device based on the Internet of Things to solve this problem. Utility Model Content
[0005] In view of the above situation, in order to overcome the defects of the prior art, the utility model provides a corn harvester alarm device based on the Internet of Things. The utility model has a novel structure and ingenious conception, and effectively solves the technical problem that the existing harvester alarm system cannot simultaneously remind outdoor and cockpit personnel, especially those in the cockpit.
[0006] A corn harvester alarm device based on the Internet of Things includes a harvester body, characterized in that a fixing plate is fixed on the top of the harvester body, a circuit board is fixed on the fixing plate, a fixing buckle is fixed on one side of the fixing plate, an angle buckle one placed on the fixing plate is rotatably installed on the same side of the fixing buckle, and an angle buckle two is rotatably installed on the other side of the fixing plate, an MCU single-chip computer is installed on the circuit board, the MCU single-chip computer is connected to a human identification module and a 4G module installed on the circuit board via SPI communication, a socket is installed on one side of the circuit board, and the socket is connected to a power supply via a power cord, an alarm system respectively arranged outside and inside the harvester body is fixed, the alarm system includes a fixing ring, a fixing hole is opened on the fixing ring, an alarm light is fixed on the fixing ring via bolts, a receiving circuit board is fixed inside the alarm light, a signal receiving module matching the 4G module, an alarm speaker and a battery module are installed on the receiving circuit board.
[0007] Preferably, the MCU is connected to a server via a 4GCAT1 module.
[0008] Preferably, the human identification module is a 60G radar chip.
[0009] Preferably, a radar antenna is provided on the human identification module, and the horizontal width of the radar antenna beam is ±60°, and the elevation width of the radar antenna beam is ±30°.
[0010] Preferably, the power supply is an AC-DC module power supply.
[0011] Preferably, the model of the MCU single chip is STM32 main control chip.
[0012] Preferably, the 4G module is of model Air724.
[0013] Preferably, the MCU is connected to a solar energy group system.
[0014] Preferably, a shell is installed on the fixing plate.
[0015] The utility model has the following technical effects.
[0016] 1. The corn harvester alarm device of the utility model is provided with alarm systems both inside and outside the harvester. When the human recognition module sends a signal, the alarm systems inside and outside the harvester will sound an alarm at the same time, thereby improving the effect of the alarm function.
[0017] 2. Once the harvester alarm device of the utility model reaches the alarm condition, the mobile terminal and the terminal equipment of the management center will ring and vibrate at the same time, and the alarm personnel can also receive the alarm information in time, deal with the problem in time, and reduce the loss to the minimum.
[0018] 3. The harvester alarm device of the utility model has low cost, and the module components are placed in the alarm device, which can be disassembled at any time, which is convenient for the maintenance and upgrading of the harvester alarm device, reduces costs and improves efficiency. BRIEF DESCRIPTION OF THE DRAWINGS
[0019] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:
[0020] Figure 1 This is a schematic diagram of the installation structure of the human recognition module of the utility model.
[0021] Figure 2 This is a schematic diagram of the structure of the alarm system of the utility model.
[0022] Figure 3 This is a schematic diagram of the control flow of the alarm system of the utility model.
[0023] Reference numerals:
[0024] 1: fixing plate; 2: circuit board; 3: fixing buckle; 4: angle buckle one; 5: angle buckle two; 6: MCU microcontroller; 7: human recognition module; 8: 4G module; 9: socket; 10: fixing ring; 11: fixing hole; 12: bolt; 13: alarm light; 14: signal receiving module. DETAILED DESCRIPTION
[0025] The above and other technical contents, features and functions of the present invention are described in detail below with reference to the attached Figures 1 to 3 The details of the embodiments will be clearly presented. The contents mentioned in the following embodiments are all based on the drawings in the specification.
[0026] Various exemplary embodiments of the present utility model will be described below with reference to the accompanying drawings.
[0027] The utility model is an alarm device for a corn harvester based on the Internet of Things, comprising a harvester body, a fixing plate 1 is installed on the top of the harvester body, a circuit board 2 is fixed on the fixing plate 1, a fixing buckle 3 is fixed on one side of the fixing plate 1, and is used to be installed at a suitable position on the top of the harvester body, ensuring that a human identification module is firmly fixed at a desired position, preventing the equipment from shaking or displacing during operation, and ensuring its stability; an angle buckle 1 4 is rotatably installed on the same side of the fixing buckle 3, and is placed on the fixing plate 1, and is used to adjust the installation angle of the position, maintain a fixed installation position and angle, so as to ensure the timeliness of signal transmission, and also ensure the accuracy of the equipment during installation, and avoid errors; an angle buckle 2 5 is rotatably installed on the other side of the fixing plate 1, and provides arbitrary installation of triple angles, which is convenient for installing and disassembling the human identification module, and is convenient for maintenance and replacement; the rotatable installation can be rotated when not installed, and cannot be rotated after being fixed with screws. The MCU single-chip computer 6 and the 4G module 8 are installed on the circuit board 2, which are responsible for the signal collection, processing, output and receiving of the original data of the human body recognition module 7. The MCU single-chip computer 6 communicates with the human body recognition module 7 through the SPI bus to read the human body sensing original data of the human body recognition module 7, and runs the original data processing program and algorithm of the human body recognition module 7 inside the MCU single-chip computer 6. The algorithm finally determines whether the human body exists. The algorithm applies the existing mature algorithm and is not within the protection scope of this application. The MCU single-chip computer 6 is connected to the human body recognition module 7 via SPI communication, and transmits and receives the external object signal through the frequency modulation continuous wave. Converted into an electrical signal and sent to the MCU microcontroller 6 for processing. A socket 9 is installed on one side of the circuit board 2. The socket 9 can be connected to a power source via a power cord to provide the required power supply for the entire device, thereby ensuring the normal operation of the alarm device and maintaining a stable working state. An alarm system is fixed inside and outside the cab of the harvester body. The alarm system includes a fixing ring 10. The fixing ring 10 is installed inside and outside the cab of the harvester. An alarm light 13 is fixed on the fixing ring 10 by bolts 12. A receiving circuit board is connected to the alarm light 13. A signal receiver 14, an alarm speaker and a battery module matching the 4G module 8 are installed on the receiving circuit board.
[0028] The MCU single-chip computer 6 receives the signal transmitted by the human identification module 7, wherein the human identification module 7 can be a radar chip. The MCU single-chip computer 6 transmits the signal to the signal receiving module of the alarm system inside and outside the harvester cockpit through the control circuit and the Air724 4G module 8 in the form of the Internet of Things, and then controls the alarm light 13 and the alarm speaker to alarm inside and outside the harvester cockpit, and at the same time sends it to the alarm system of the mobile terminal and the management center terminal device in the form of the Internet of Things to vibrate and ring the alarm.
[0029] When the alarm system is triggered, the driver turns off the alarm system, and the MUC microcontroller 6 reacquires the original data to check whether the danger is eliminated.
[0030] The MCU 6 sends the signal of the human identification module 7 to the 4G module 8 through the serial port. The 4G module 8 sends the protocol result to the back-end server through the MQTT protocol, and then sends the signal to the mobile terminal and the management center terminal for alarm.
[0031] The MCU single-chip computer 6 is connected to the server via the 4GCAT1 module. The human identification module 7 is a 60G radar chip. A radar antenna is arranged on the human identification module 7. The horizontal width of the radar antenna beam is ±60°, and the pitch width of the radar antenna beam is ±30°. The power supply is an AC-DC module power supply, which converts the 220V power supply into a DC 5V voltage. The model of the MCU single-chip computer 6 is the STM32 main control chip. The model of the 4G module 8 is Air724. The MCU single-chip computer 6 is connected to a solar energy group system, and a shell is installed on the fixed plate 1.
[0032] The MCU microcontroller 6 communicates with the human identification module 7 through the SPI bus to read the human body sensing raw data of the human identification module 7, and runs the raw data processing program and algorithm of the human identification module 7 inside the MCU microcontroller 6. The algorithm finally determines whether the human body exists. The algorithm adopts the existing technology and is not within the protection scope of this application.
[0033] Here, the present application also provides a processing program and algorithm for the raw data of the human identification module 7 running inside the MCU 6:
[0034] First, the collected raw data is filtered to remove noise, a Hamming window is added to the data to prevent spectrum leakage, and then a 1D-FFT is performed to obtain the distance information.
[0035] Then we get the Doppler velocity information, perform coherent accumulation on the data to improve the signal quality, and then do a mechanical algorithm to get the micro-motion information, that is, the existence of the human body.
[0036] Finally, the information on whether a human body exists is sent to the background server through the 4GCAT1 module, and the on-site situation can be seen on the server at this time.
[0037] MCU 6 reads the data of the built-in temperature sensor, and sends the results of temperature and presence of human body to 4GCAT1 module through the serial port, and 4GCAT1 module sends the results to the background server through MQTT protocol.
[0038] The alarm system is used to alert the driver that someone is nearby to avoid accidents.
[0039] Matters needing attention in this utility model are:
[0040] 1. Select the harvester type: First, harvest the harvester in the corn field, collect type data, and determine the installation height of the device.
[0041] 2. Near a large cornfield: Choose a location with a wide area of cornfields to ensure that the device works in a real complex environment.
[0042] 3. Security considerations: There should be appropriate security measures to prevent damage and unauthorized access.
[0043] 4. Environmental adaptation: The device needs to take into account different meteorological conditions, such as rain and snow, to ensure that the charging and use process is not affected.
[0044] 5. Installation and testing of the alarm system, testing the sound and light alarm level of the test device, whether it can promptly alert the harvester driver, and testing whether the 4G module can transmit signals in time to ensure the timeliness of the alarm device.
[0045] 6. Antenna: Installed at a commanding point on the harvester, used to transmit signals so that the 4G module can send the MQTT protocol to the cloud in a timely manner, ensuring the timeliness of the alarm device.
[0046] 7. Single chip microcomputer: responsible for signal acquisition, processing and output of 4G module device.
[0047] 8. Design and manufacture alarm devices: including sound and light alarms and control circuits. When the millimeter-wave radar detects that someone has entered the operating range of the corn harvester, the alarm device can send out sound and light signals in time to remind the harvester driver to pay attention to safety.
[0048] 9. Conduct system testing and debugging to verify the performance and reliability of the alarm device. The test includes detection and identification of target objects at different distances, speeds and directions, as well as testing of working performance under different environmental conditions.
[0049] 10. Final installation and debugging: install the alarm device on the corn harvester and conduct final debugging and testing to ensure that the system can work properly.
[0050] 11. Maintenance and monitoring: Establish a monitoring system to monitor the performance of the identification device and the status of the equipment in real time. This helps to detect problems in advance and perform maintenance.
[0051] 12. Support for sustainable energy: The device can use renewable energy systems, such as solar or wind energy, to reduce dependence on traditional electrical energy and improve environmental friendliness.
[0052] 13. Air724 4G module selection and design: Select the appropriate 4G module model and operating frequency to adapt to the harvester's operating environment and needs. Design a reasonable antenna and signal processor to ensure that the alarm system can ensure timeliness.
[0053] The utility model sends a signal to the MCU when a person is detected by the person recognition module, and then transmits it to the signal receiving module via the 4G module, so that the alarm light and the alarm speaker start working. At the same time, a signal is also sent to the server, and the server sends a signal to the operator's mobile terminal and the terminal manager of the management center, so that the mobile terminal and the terminal equipment of the management center vibrate and ring to remind.
[0054] Although the content of the utility model has been described in detail through the above preferred embodiments, it should be recognized that the above description should not be considered as a limitation of the utility model. After reading the above content, various modifications and substitutions of the utility model will be obvious to those skilled in the art. Therefore, the protection scope of the utility model should be limited by the attached claims.
Claims
1. A corn harvester alarm device based on the Internet of Things, comprising a harvester body, characterized in that: A fixing plate (1) is fixed on the top of the harvester body, a circuit board (2) is fixed on the fixing plate (1), a fixing buckle (3) is fixed on one side of the fixing plate (1), an angle buckle 1 (4) placed on the fixing plate (1) is rotatably mounted on the same side of the fixing buckle (3), an angle buckle 2 (5) is rotatably mounted on the other side of the fixing plate (1), an MCU single chip (6) is mounted on the circuit board (2), and the MCU single chip (6) is connected to a human identification module (7) and a 4G module (8) mounted on the circuit board (2) via SPI communication. A socket (9) is installed on one side of the circuit board (2), and the socket (9) is connected to the power supply via a power cord. An alarm system is fixed on the harvester body, which is respectively arranged outside and inside. The alarm system includes a fixing ring (10), a fixing hole (11) is opened on the fixing ring (10), and an alarm light (13) is fixed on the fixing ring (10) via bolts (12). A receiving circuit board is fixed inside the alarm light (13), and a signal receiving module (14) matching the 4G module (8), an alarm speaker and a battery module are installed on the receiving circuit board.
2. The corn harvester alarm device based on the Internet of Things according to claim 1 is characterized in that: The MCU single chip computer (6) is connected to a server via a 4GCAT1 module.
3. The corn harvester alarm device based on the Internet of Things according to claim 1 is characterized in that: The human identification module (7) is a 60G radar chip.
4. The corn harvester alarm device based on the Internet of Things according to claim 1 is characterized in that: The human identification module (7) is provided with a radar antenna, the horizontal width of the radar antenna beam is ±60°, and the elevation width of the radar antenna beam is ±30°.
5. The corn harvester alarm device based on the Internet of Things according to claim 1 is characterized in that: The power supply is an AC-DC module power supply.
6. The corn harvester alarm device based on the Internet of Things according to claim 1, characterized in that: The model of the MCU single chip computer (6) is an STM32 main control chip.
7. The corn harvester alarm device based on the Internet of Things according to claim 1, characterized in that: The 4G module (8) is of model Air724.
8. The corn harvester alarm device based on the Internet of Things according to claim 1, characterized in that: The MCU single chip computer (6) is connected to a solar energy group system.
9. The corn harvester alarm device based on the Internet of Things according to claim 1, characterized in that: A shell is mounted on the fixing plate (1).