CN112078521A - Tractor intelligent auxiliary control system and control method based on Internet of things - Google Patents
Tractor intelligent auxiliary control system and control method based on Internet of things Download PDFInfo
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R16/00—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for
- B60R16/02—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements
- B60R16/023—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements for transmission of signals between vehicle parts or subsystems
- B60R16/0231—Circuits relating to the driving or the functioning of the vehicle
- B60R16/0232—Circuits relating to the driving or the functioning of the vehicle for measuring vehicle parameters and indicating critical, abnormal or dangerous conditions
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60D—VEHICLE CONNECTIONS
- B60D1/00—Traction couplings; Hitches; Draw-gear; Towing devices
- B60D1/24—Traction couplings; Hitches; Draw-gear; Towing devices characterised by arrangements for particular functions
- B60D1/248—Traction couplings; Hitches; Draw-gear; Towing devices characterised by arrangements for particular functions for measuring, indicating or displaying the weight
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02G—INSTALLATION OF ELECTRIC CABLES OR LINES, OR OF COMBINED OPTICAL AND ELECTRIC CABLES OR LINES
- H02G1/00—Methods or apparatus specially adapted for installing, maintaining, repairing or dismantling electric cables or lines
- H02G1/02—Methods or apparatus specially adapted for installing, maintaining, repairing or dismantling electric cables or lines for overhead lines or cables
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02G—INSTALLATION OF ELECTRIC CABLES OR LINES, OR OF COMBINED OPTICAL AND ELECTRIC CABLES OR LINES
- H02G1/00—Methods or apparatus specially adapted for installing, maintaining, repairing or dismantling electric cables or lines
- H02G1/02—Methods or apparatus specially adapted for installing, maintaining, repairing or dismantling electric cables or lines for overhead lines or cables
- H02G1/04—Methods or apparatus specially adapted for installing, maintaining, repairing or dismantling electric cables or lines for overhead lines or cables for mounting or stretching
Abstract
The invention provides an intelligent auxiliary control system and method for a tractor based on the Internet of things, and relates to the technical field of tractor intelligence. This intelligent auxiliary control system of tractor based on thing networking includes: the tractor intelligent control method based on the Internet of things comprises the steps of S1, installation of a dynamic torque sensor, S2, setting of a traction force threshold value range, S3, real-time data transmission, S4, analysis and judgment of force, S5, installation of a set of electric controller in a gearbox, and S6, data storage and network transmission. According to the intelligent auxiliary control system and method for the tractor based on the Internet of things, the traction force of the traction rope tractor is detected on line, and the tractor without the traction force on-line detection has a tension on-line detection function through modern detection and sensor technology.
Description
Technical Field
The invention relates to the technical field of tractor intellectualization, in particular to an intelligent auxiliary control system and method for a tractor based on the Internet of things.
Background
Tension paying-off is generally used for line overhead crossing in rivers, highways, railways, cash crops, mountainous areas and other occasions, a tension stringing construction method is generally adopted in power transmission line projects of 110kV and above at present, a constant tension is given to a traction rope or a lead by a special tension vehicle in the tension stringing process, the traction rope or the lead does not fall on the ground when in traction, a certain distance is kept between the traction rope and buildings, highways, railways, high-low voltage lines, communication lines and cash crops on the ground, the tension stringing efficiency is high, the influence on the crossing is small, and used iron towers are divided into tangent towers and tension towers, wherein the tangent towers are used for bearing vertical loads, and the tension towers are used for bearing horizontal loads.
The tractor is required to carry out traction in the tension paying-off process, but the tractor has potential safety hazards in the traction process, for example, in the traction process, if the traction rope or the lead is subjected to paying-off pulley groove skipping to cause the traction rope or the lead to be blocked, or the lead and the traction rope are hung by a barrier, under the condition that a constructor does not find out and does not take emergency braking measures, the tension borne by the traction rope is increased sharply, once the tension borne by the traction rope exceeds the borne breaking force, a wire breakage accident can occur, even the personal safety of constructors or nearby personnel is threatened, if the traction rope or the lead falls on an electrified railway line, large-area power failure can be caused, the railway outage accident is caused, the driving safety is influenced, and if a building, a power line, a communication line and an economic crop is hung by the traction rope or the lead, the loss can be. Similarly, in the process of stringing, if the horizontal stress of a wire exceeds traction force or greatly exceeds design tension, the tension tower can collapse, the life safety of nearby construction personnel is seriously threatened, the personal safety of the construction personnel is ensured to be the first, in the process of stringing, the safety performance of the tension tower is directly hooked with the personal safety of the construction personnel on the tower, then, an electric power tower is built in a mountain area and is not easy to actually carry out, the transportation of tower materials is very inconvenient, the construction process is difficult, the collapse of the electric power tower can generate larger economic loss, and if casualties occur, the loss can not be measured. The tension tower can not bear tension and collapse in the overhead process of the line in Sichuan Yanyuan county, and certain casualties are caused by accidents.
In combination with the situation of the existing tractor, the reasons for the above accidents can be attributed to the following points:
(1) the general existing tractor does not have the functions of on-line traction detection and over-limit tension early warning
In the traction process of the tractor, a traction rope or a lead is blocked due to the fact that a pulley jumps a groove, or is hung by an obstacle to cause overlarge tension, traction force information is not detected and displayed in real time, a constructor can only estimate the traction force according to experience and judge whether a fault exists or not according to the experience, and potential safety hazards exist in the process of perception experience judgment.
(2) Lack of intelligent control system for tractor
Although some tractors are provided with a traction force detection system, detected data are only used for displaying a meter, and a worker can only manually control whether the tractor works according to the display number on the meter and the state of an alarm lamp. From the traction force overrun generation to the manual stop of traction, a certain time delay exists, and workers need to pay attention to the instrument display number all the time, and if the reaction is not timely, accidents can also be caused. Meanwhile, the control system of the tractor fails to analyze and calculate data, and automatic and intelligent control is not realized.
Disclosure of Invention
The invention aims to provide an intelligent auxiliary control system and method for a tractor based on the Internet of things, and solves the problems in the background art.
In order to achieve the purpose, the invention is realized by the following technical scheme: the utility model provides a tractor intellectuality auxiliary control system based on thing networking, includes:
the intelligent sensing and detecting technology system is characterized in that an intelligent sensor is combined with a microprocessor by utilizing an embedded technology, integrates environment sensing, data processing, intelligent control and data communication into a whole, and has the characteristics of self-learning, self-diagnosis and self-compensation, composite sensing and flexible communication.
The intelligent decision and intelligent control system extracts knowledge useful for the physical world processed by human beings through modeling and data mining of a physical space on the basis of acquiring mass data, and then generates a correct control strategy according to the knowledge so as to realize intelligent control.
The data analysis system comprises a data acquisition module, a data storage module, a data retrieval and aggregation module, a data processing module, a statistical analysis module, a statistical mining module, a model prediction module and a result presentation module, analyzes a large amount of collected data by using a statistical analysis method, researches the data in detail, provides one or more types of possible models on the basis of exploratory analysis, and selects a certain model from the models through preliminary evaluation.
The Internet of things communication system comprises an Internet of things module, a Web browser, a remote monitoring platform and a local control system, and uploads collected data to the Internet through a wireless communication technology so as to realize information interaction.
The bus communication system comprises a main control module, a CAN bus adapter, an acquisition detection module, a motion control module, a man-machine interaction module and a power management module, wherein the data communication module among the auxiliary control system, each function module and an execution mechanism of the bus communication system adopts a CAN bus communication mode to realize that CAN belongs to the field bus category, and the bus communication system is a serial communication network which effectively supports distributed control or real-time control, CAN realize that a single cable is connected with all devices in series, and saves the installation and maintenance expenses. The real-time performance is improved, information can be shared, and the detection, diagnosis and control performance of the multi-controller system is improved.
As a further scheme of the system: the output of data acquisition module passes through wire and data storage module's input electric connection, data storage module's output passes through wire and data retrieval and assembles the input electric connection of module, data retrieval and the output that assembles the module pass through wire and data processing module's input electric connection, data processing module's output passes through wire and statistical analysis module's input electric connection, statistical analysis module's output passes through wire and model prediction module's input electric connection, model prediction module's output passes through wire and result and presents the input electric connection of module.
As a further scheme of the system: the output end of the Internet of things module is in wireless LAN signal connection with the input end of the Web browser, the output end of the Internet of things module is in wireless LAN signal connection with the input end of the remote monitoring platform, and the output end of the Internet of things module is in wireless LAN signal connection with the input end of the local control system.
As a further scheme of the system: the output of main control module passes through the input electric connection of wire and CAN bus adapter, the output of CAN bus adapter passes through the two-way electric connection of wire and collection detection module's input, the output of CAN bus adapter passes through the two-way electric connection of wire and motion control module's input, the two-way electric connection of wire and human-computer interaction module's input is passed through to the output of CAN bus adapter, the two-way electric connection of wire and power management module's input is passed through to the output of CAN bus adapter.
The tractor intelligent control method based on the Internet of things is characterized by comprising the following steps: the method comprises the following steps:
and S1, mounting a set of dynamic torque sensors on the traction rollers of the tractor.
S2, the assist control system sets a calculated traction force threshold range.
And S3, transmitting the traction force to the auxiliary control system in real time through the data of the torque sensor in the traction process of the tractor.
And S4, under normal conditions, the auxiliary control system analyzes and judges the force, displays the traction data within a set threshold value range, and sends out a green signal lamp signal or a yellow signal lamp signal to remind an operator of normal traction or whether the traction is greater than the calculated traction and the operator is aware of faults, so that the operator can normally operate the tractor.
S5, a set of electric controller is additionally arranged in the tractor gearbox and used for controlling the on and off of the clutch, when a fault occurs, the fault exceeds a set threshold value, the auxiliary control system analyzes and judges the force and sends out a signal, the electric controller acts, the tractor clutch is separated through the driver, the traction shaft stops working and sends out a red light signal, the display of the auxiliary control system displays the current stress data and reminds an operator that a traction line is obstructed, the traction force exceeds a set value, and the traction is prompted after processing. When the auxiliary controller line fault processing button is started, the tractor can not take up the line any more, but can use the reverse gear to loosen the line, namely, the clutch under the condition of the reverse gear is closed, after the line fault processing is finished, the force of a tractor rolling shaft reaches a normal value, an operator starts the auxiliary controller line fault processing finishing button, the electric controller acts to unlock the running gear clutch, and the running gear clutch of the tractor recovers a normal traction state.
And S6, storing the data of the above forces and the processing process data in a memory of the auxiliary control system, and transmitting the data to the established cloud data through a 4G network or realizing data interconnection with the power safety production system through an interface.
Further, in accordance with operation S2: the auxiliary control system of the tractor comprises input, signal conversion, analysis and judgment, display, control of an electric controller, warning, positioning, data storage, data transmission and positioning functions.
The invention provides an intelligent auxiliary control system and method for a tractor based on the Internet of things. The method has the following beneficial effects:
(1) according to the intelligent auxiliary control system and control method for the tractor based on the Internet of things, the traction rope tractor traction force on-line detection is realized, and the tractor without the tractor traction force on-line detection has a tension on-line detection function through modern detection and sensor technology.
(2) According to the intelligent auxiliary control system and the intelligent auxiliary control method for the tractor based on the Internet of things, data deep analysis and centralized management are achieved, the local controller utilizes historical data to build a database, deep analysis and self-learning of the historical data are achieved, a prediction algorithm model is more accurate, collected real-time data and the collected historical data are uploaded to the Internet, historical query and centralized management of the data are facilitated, and remote monitoring is achieved.
(3) According to the intelligent auxiliary control system and the intelligent auxiliary control method for the tractor based on the Internet of things, an intelligent decision-making mechanism is adopted by the auxiliary control system, the detected traction force information is analyzed in real time, the traction force condition borne by the traction rope is predicted by combining the change rate of the traction force, namely, before the traction force exceeds the breaking limit, the fault is judged, and advanced control and early warning are realized. The traditional control system is abandoned by adopting an instrument display mode, and a digital and graphical display mode with stronger practicability is used instead. The auxiliary control system utilizes the human-computer interaction interface to carry out digital and graphical display on the acquired information, and an operator can input the traction force threshold value of the traction rope on different occasions through the human-computer interaction interface.
Drawings
FIG. 1 is a schematic diagram of the system of the present invention;
FIG. 2 is a flow chart of a method of operation of the present invention;
FIG. 3 is a relational model diagram of the present invention.
In the figure: 1. an intelligent sensing and detection technology system; 2. an intelligent decision and intelligent control system; 3. a data analysis system; 301. a data acquisition module; 302. a data storage module; 303. a data retrieval and aggregation module; 304. a data processing module; 305. a statistical analysis module; 306. a statistic mining module; 307. a model prediction module; 308. a result presentation module; 4. an Internet of things communication system; 401. an Internet of things module; 402. a Web browser; 403. a remote monitoring platform; 404. a local control system; 5. a bus communication system; 501. a main control module; 502. a CAN bus adapter; 503. a collection detection module; 504. a motion control module; 505. a human-computer interaction module; 506. and a power management module.
Detailed Description
The invention will be further illustrated with reference to the following examples and drawings:
referring to FIGS. 1-3: an intelligent auxiliary control system of a tractor based on the Internet of things, an intelligent sensing and detection technology system 1, wherein the intelligent sensing and detection technology system 1 is an intelligent sensor which integrates a sensor and a microprocessor by utilizing an embedded technology, integrates environment perception, data processing, intelligent control and data communication into a whole, and has the characteristics of self-learning, self-diagnosis and self-compensation, composite perception and flexible communication, an intelligent decision and intelligent control system 2 and an intelligent decision and intelligent control system 2 extract useful knowledge of the physical world processed by human through modeling and data mining of a physical space on the basis of acquiring mass data, and then generate a correct control strategy according to the knowledge, so that intelligent control is realized, the project utilizes acquired data to establish a relational model, a data analysis system 3, and the data analysis system 3 comprises a data acquisition module 301, A data storage module 302, a data retrieval and aggregation module 303, a data processing module 304, a statistical analysis module 305, a statistical mining module 306, a model prediction module 307 and a result presentation module 308, wherein the output end of the data acquisition module 301 is electrically connected with the input end of the data storage module 302 through a wire, the output end of the data storage module 302 is electrically connected with the input end of the data retrieval and aggregation module 303 through a wire, the output end of the data retrieval and aggregation module 303 is electrically connected with the input end of the data processing module 304 through a wire, the output end of the data processing module 304 is electrically connected with the input end of the statistical analysis module 305 through a wire, the output end of the statistical analysis module 305 is electrically connected with the input end of the statistical mining module 306 through a wire, and the output end of the statistical mining module 306 is electrically connected with the input end of the model prediction, the output end of the model prediction module 307 is electrically connected with the input end of the result presentation module 308 through a wire, the internet of things communication system 4 is provided with the internet of things module 401, the Web browser 402, the remote monitoring platform 403 and the local control system 404, the output end of the internet of things module 401 is in signal connection with the input end of the Web browser 402 through a wireless area network, the output end of the internet of things module 401 is in signal connection with the input end of the remote monitoring platform 403 through a wireless area network, the output end of the internet of things module 401 is in signal connection with the input end of the local control system 404 through a wireless area network, the bus communication system 5 is provided with the bus communication system 5 which comprises a main control module 501, a CAN bus adapter 502, an acquisition detection module 503, a motion control module 504, a human-computer interaction module 505 and a power management module 506, the output end of the main control module 501, the output end of the CAN bus adapter 502 is electrically connected with the input end of the acquisition detection module 503 in a bidirectional mode through a wire, the output end of the CAN bus adapter 502 is electrically connected with the input end of the motion control module 504 in a bidirectional mode through a wire, the output end of the CAN bus adapter 502 is electrically connected with the input end of the human-computer interaction module 505 in a bidirectional mode through a wire, and the output end of the CAN bus adapter 502 is electrically connected with the input end of the power management module 506 in a bidirectional mode through a wire.
Specifically, in the data analysis system 3, the data acquisition module 301 acquires data, the data storage module 302 stores the data acquired by the data acquisition module 301, the data retrieval and aggregation module 303 retrieves and aggregates the data stored by the data storage module 302, the data processing module 304 processes the data retrieved and aggregated by the data retrieval and aggregation module 303, the data processed by the data processing module 304 is transmitted to the statistical analysis module 305 for statistics and analysis, the data after statistics and analysis is transmitted to the statistical mining module 306 for statistics and mining, the data after statistics and mining is transmitted to the model prediction module 307 for prediction, the result presentation module 308 presents the model predicted by the model prediction module 307, the collected mass data is analyzed by using a statistical analysis method, the data is studied in detail, one or more possible models are proposed on the basis of exploratory analysis, and selecting a certain model from the initial evaluation.
Specifically, the local control system 404 transmits data to the internet of things module 401 through a network, the Web browser 402 and the remote monitoring platform 403 view from the internet of things module 401 through the network, and the internet of things communication system 4 uploads the acquired data to the internet through a wireless communication technology to realize information interaction.
Specifically, in the bus communication system 5, the main control module 501 transmits data to the CAN bus adapter 502, the CAN bus adapter 502 controls the acquisition detection module 503, the motion control module 504, the human-computer interaction module 505 and the power management module 506, the data communication module between the auxiliary control system and each functional module and the execution mechanism adopts the communication mode of the CAN bus to realize that the CAN belongs to the field bus, and the system is a serial communication network which effectively supports distributed control or real-time control, CAN realize that a single cable is connected with all devices in series, saves the installation and maintenance cost, improves the real-time performance, CAN share information, and improves the detection, diagnosis and control performance of a multi-controller system.
An Internet of things-based tractor intelligent control method comprises the following steps:
step one, a set of dynamic torque sensor is arranged on a traction rolling shaft of the tractor.
And step two, setting a traction force threshold value range in the auxiliary control system.
And step three, transmitting the traction force to an auxiliary control system in real time through data of the torque sensor in the traction process of the tractor, wherein the auxiliary control system of the tractor has the functions of inputting, signal conversion, analysis and judgment, displaying, controlling an electric controller, warning, positioning, data storage, data transmission and positioning.
And step four, under the normal condition, the auxiliary control system analyzes and judges the force, displays the traction force data within the range of the set threshold value, and sends out a green signal lamp signal or a yellow signal lamp signal to remind an operator of normal traction or to remind the operator of fault existence when the traction force is larger than the calculated traction force, and the operator can normally operate the tractor.
And fifthly, additionally arranging a set of electric controller in the tractor gearbox for controlling the clutch to be closed and separated, when a fault occurs, the fault exceeds a set threshold value, analyzing and judging the force by an auxiliary control system, sending a signal, enabling the electric controller to act, separating the tractor clutch by a driver, stopping the traction shaft, sending a red light signal, displaying current stress data by an auxiliary control system display, reminding an operator that a traction line is obstructed, the traction force exceeds a set value, and carrying out traction prompt after processing. When the auxiliary controller line fault processing button is started, the tractor can not take up the line any more, but can use the reverse gear to loosen the line, namely, the clutch under the condition of the reverse gear is closed, after the line fault processing is finished, the force of a tractor rolling shaft reaches a normal value, an operator starts the auxiliary controller line fault processing finishing button, the electric controller acts to unlock the running gear clutch, and the running gear clutch of the tractor recovers a normal traction state.
And sixthly, storing the data of the above forces and the processing process data in an auxiliary control system memory, and transmitting the data to the established cloud data through a 4G network or realizing data interconnection with the electric power safety production system through an interface.
The above is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, many variations and modifications can be made without departing from the inventive concept of the present invention, which falls into the protection scope of the present invention.
Claims (6)
1. The utility model provides a tractor intellectuality auxiliary control system based on thing networking which characterized in that includes:
the intelligent sensing and detecting technical system (1) is characterized in that an intelligent sensor is combined with a microprocessor by utilizing an embedded technology, integrates environment sensing, data processing, intelligent control and data communication into a whole, and has the characteristics of self-learning, self-diagnosis and self-compensation, composite sensing and flexible communication;
the intelligent decision and intelligent control system (2) extracts the knowledge useful to the physical world processed by human beings through modeling and data mining of a physical space on the basis of acquiring mass data, and then generates a correct control strategy according to the knowledge so as to realize intelligent control, wherein the intelligent decision and intelligent control system (2) utilizes the acquired data to establish a relation model;
the data analysis system (3) comprises a data acquisition module (301), a data storage module (302), a data retrieval and aggregation module (303), a data processing module (304), a statistical analysis module (305), a statistical mining module (306), a model prediction module (307) and a result presentation module (308), wherein the data analysis system (3) analyzes a large amount of collected data by using a statistical analysis method, carries out detailed research on the data, puts forward one or more types of possible models on the basis of exploratory analysis, and selects a certain model from the models through preliminary evaluation;
the system comprises an Internet of things communication system (4), wherein the Internet of things communication system (4) comprises an Internet of things module (401), a Web browser (402), a remote monitoring platform (403) and a local control system (404), and the Internet of things communication system (4) uploads acquired data to the Internet through a wireless communication technology so as to realize information interaction;
the bus communication system (5) comprises a main control module (501), a CAN bus adapter (502), an acquisition detection module (503), a motion control module (504), a man-machine interaction module (505) and a power management module (506), wherein the bus communication system (5) adopts a CAN bus communication mode to realize that CAN belongs to the field bus by a data communication module among the auxiliary control system, each functional module and an execution mechanism, and is a serial communication network which effectively supports distributed control or real-time control, CAN realize that a single cable is connected with all devices in series, and saves the installation and maintenance expenses; the real-time performance is improved, information can be shared, and the detection, diagnosis and control performance of the multi-controller system is improved.
2. The intelligent auxiliary control system for the tractor based on the Internet of things as claimed in claim 1, wherein: the output end of the data acquisition module (301) is electrically connected with the input end of the data storage module (302) through a lead, the output end of the data storage module (302) is electrically connected with the input end of the data retrieval and convergence module (303) through a lead, the output end of the data retrieval and convergence module (303) is electrically connected with the input end of the data processing module (304) through a lead, the output end of the data processing module (304) is electrically connected with the input end of the statistical analysis module (305) through a lead, the output end of the statistical analysis module (305) is electrically connected with the input end of the statistical mining module (306) through a lead, the output end of the statistic mining module (306) is electrically connected with the input end of the model prediction module (307) through a lead, the output end of the model prediction module (307) is electrically connected with the input end of the result presentation module (308) through a lead.
3. The intelligent auxiliary control system for the tractor based on the Internet of things as claimed in claim 1, wherein: the output end of the Internet of things module (401) is in wireless local area network signal connection with the input end of the Web browser (402), the output end of the Internet of things module (401) is in wireless local area network signal connection with the input end of the remote monitoring platform (403), and the output end of the Internet of things module (401) is in wireless local area network signal connection with the input end of the local control system (404).
4. The intelligent auxiliary control system for the tractor based on the Internet of things as claimed in claim 1, wherein: the output of main control module (501) passes through the input electric connection of wire with CAN bus adapter (502), the output of CAN bus adapter (502) passes through the two-way electric connection of wire and the input of gathering detection module (503), the output of CAN bus adapter (502) passes through the two-way electric connection of wire and motion control module (504), the output of CAN bus adapter (502) passes through the two-way electric connection of wire and the input of human-computer interaction module (505), the output of CAN bus adapter (502) passes through the two-way electric connection of wire and the input of power management module (506).
5. An Internet of things-based tractor intelligent control method is characterized by comprising the following steps:
s1, installing a set of dynamic torque sensor on a traction roller of the tractor;
s2, setting a calculation traction force threshold value range in the auxiliary control system;
s3, transmitting the traction force to the auxiliary control system in real time through the data of the torque sensor in the traction process of the tractor;
s4, under normal conditions, the auxiliary control system analyzes and judges the force, displays the traction data within a set threshold value range, and sends out a green signal lamp signal or a yellow signal lamp signal to remind an operator of normal traction or whether the traction is larger than the calculated traction and the operator is aware of faults, and the operator can normally operate the tractor;
s5, a set of electric controller is additionally arranged in the tractor gearbox and used for controlling the on and off of the clutch, when a fault occurs, the fault exceeds a set threshold value, the auxiliary control system analyzes and judges the force and sends out a signal, the electric controller acts, the tractor clutch is separated through the driver, the traction shaft stops working and sends out a red light signal, the display of the auxiliary control system displays the current stress data and reminds an operator that a traction line is obstructed, the traction force exceeds a set value, and the traction is prompted after processing. Starting an auxiliary controller 'line fault processing' button, enabling the tractor not to take up the line any more, but enabling the reverse gear to be used for releasing the line, namely enabling the clutch under the condition of the reverse gear to be closed, when the line fault processing is finished, the force of a tractor roller reaches a normal value, enabling an operator to start the auxiliary controller 'line fault processing finishing' button, enabling an electric controller to act, unlocking a running gear clutch, and enabling the tractor running gear clutch to recover a normal traction state;
and S6, storing the data of the above forces and the processing process data in a memory of the auxiliary control system, and transmitting the data to the established cloud data through a 4G network or realizing data interconnection with the power safety production system through an interface.
6. The intelligent control method for the internet-of-things-based tractor according to claim 5, wherein in operation S2: the auxiliary control system of the tractor comprises input, signal conversion, analysis and judgment, display, control of an electric controller, warning, positioning, data storage, data transmission and positioning functions.
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