阅读说明：本技术 一种永磁同步曳引机的监测装置及监测方法 (Monitoring device and monitoring method for permanent magnet synchronous traction machine ) 是由 王金城 刘剑 张廷振 于 2021-08-03 设计创作，主要内容包括：本发明公开一种永磁同步曳引机的监测装置及监测方法,包括：安装板,安装板上设置有温度传感器和磁场传感器,安装板与永磁同步曳引机的外壳连接固定；温度传感器用于感测永磁同步曳引机的转子的制动面的温度并生成温度信号；磁场传感器用于感测永磁同步曳引机的永磁体的磁场并生成磁场信号；处理模块,与温度传感器、磁场传感器信号连接并接收温度信号与磁场信号,并判断故障情况生成故障信号发送至外部物联网系统。本发明的有益效果在于：通过温度传感器和磁场传感器分别检测转子制动面的温度以及永磁体的磁场变化,综合判断生成较为准确的故障判断结果,准确度高,检测效果好,同时还连接外部物联网系统,便于报告故障情况进行故障检修。(The invention discloses a monitoring device and a monitoring method of a permanent magnet synchronous traction machine, which comprises the following steps: the mounting plate is provided with a temperature sensor and a magnetic field sensor and is fixedly connected with the shell of the permanent magnet synchronous traction machine; the temperature sensor is used for sensing the temperature of the braking surface of the rotor of the permanent magnet synchronous traction machine and generating a temperature signal; the magnetic field sensor is used for sensing the magnetic field of the permanent magnet synchronous traction machine and generating a magnetic field signal; and the processing module is in signal connection with the temperature sensor and the magnetic field sensor, receives the temperature signal and the magnetic field signal, judges the fault condition, generates a fault signal and sends the fault signal to an external Internet of things system. The invention has the beneficial effects that: the temperature sensor and the magnetic field sensor are used for respectively detecting the temperature of the rotor braking surface and the magnetic field change of the permanent magnet, relatively accurate fault judgment results are generated through comprehensive judgment, the accuracy is high, the detection effect is good, and meanwhile, the system is also connected with an external Internet of things system, so that fault conditions can be conveniently reported for fault maintenance.)

1. A monitoring device of a permanent magnet synchronous traction machine is characterized by comprising:

the mounting plate is provided with a temperature sensor and a magnetic field sensor and is fixedly connected with the shell of the permanent magnet synchronous traction machine;

the temperature sensor is used for sensing the temperature of the braking surface of the rotor of the permanent magnet synchronous traction machine and generating a temperature signal;

the magnetic field sensor is used for sensing the magnetic field of the permanent magnet synchronous traction machine and generating a magnetic field signal;

and the processing module is in signal connection with the temperature sensor and the magnetic field sensor, receives the temperature signal and the magnetic field signal, judges the fault condition of the permanent magnet synchronous traction machine, generates a fault signal and sends the fault signal to an external Internet of things system.

2. The monitoring device according to claim 1, wherein the mounting plate has a temperature sensor support that is vertically provided on the mounting plate, extending from the mounting plate into a gap between a braking device of the permanent magnet synchronous traction machine and the rotor of the permanent magnet synchronous traction machine;

the temperature sensor is arranged on one side of the first support, which faces the braking surface of the rotor.

3. The monitoring device of claim 2, wherein the braking device is disposed inside the rotor or outside the rotor.

4. The monitoring device according to claim 1, wherein the magnetic field sensor is vertically provided on the mounting plate, extending from the mounting plate into a gap between a coil of the permanent magnet synchronous traction machine and the rotor;

the rotor is provided with the permanent magnet.

5. The monitoring device as claimed in claim 1, wherein the processing module further has an alarm sub-module, which is connected to the external internet of things system and generates a fault signal according to a fault condition of the permanent magnet synchronous traction machine to send to the external internet of things system.

6. The monitoring device according to claim 2, wherein the processing module calculates a rotation speed of the permanent magnet synchronous traction machine based on the magnetic field signal.

7. A monitoring method of a permanent magnet synchronous traction machine, which is applied to the monitoring device according to any one of claims 1 to 6, wherein a temperature sensor of the monitoring device continuously monitors a temperature of a braking surface of a rotor and generates a temperature signal, and a magnetic field sensor of the monitoring device continuously monitors a magnetic field of a permanent magnet and generates a magnetic field signal, the monitoring method specifically comprising:

step S1: generating a rotation state parameter according to the magnetic field signal;

the rotation state parameter is used for indicating that the rotor is in a rotation state or a static state;

step S2: judging whether the temperature of the braking surface is in a safe temperature range or not according to the temperature signal, and judging whether the permanent magnet has intensity mutation or not according to the magnetic field signal;

when the temperature is in a safe range and the permanent magnet has no sudden strength change, turning to step S3;

when the temperature is not in the safety range and the permanent magnet has no sudden strength change, turning to step S6;

when the temperature is in a safe range and the permanent magnet has sudden strength change, turning to step S7;

when the temperature is not in the safety range and the permanent magnet has sudden strength change, the step is turned to S8;

step S3: judging whether the rotor is in a rotating state or not according to the rotating state parameters;

if yes, go to step S4;

if not, outputting a shutdown state signal and the temperature signal to the external Internet of things system, and then returning to the step S1;

step S4: outputting the temperature signal to an external Internet of things system, and calculating the rotating speed of the rotor;

step S5: judging whether the rotating speed exceeds a threshold value;

if yes, outputting an overspeed fault signal to the external Internet of things system, and then returning to the step S1;

if not, outputting a rotation speed signal to the external Internet of things system, and then returning to the step S1.

Step S6: and judging the temperature fault type according to the temperature signal, outputting the temperature fault signal to an external Internet of things system, and then returning to the step S1.

Step S7: and outputting a permanent magnet fault signal to an external Internet of things system, and then returning to the step S1.

Step S8: and judging the temperature fault type according to the temperature signal, outputting the temperature fault signal to the external Internet of things system, simultaneously outputting a permanent magnet fault signal to the external Internet of things system, and then returning to the step S1.

8. The monitoring method according to claim 7, wherein the step S4 further includes:

step S41: outputting the temperature signal to the external Internet of things system;

step S42: acquiring the number of permanent magnets of the permanent magnet synchronous traction machine;

step S43: calculating a period of the magnetic field signal;

step S44: and calculating the rotating speed according to the number of the permanent magnets and the period of the magnetic field signal.

9. The monitoring method according to claim 7, wherein the step S6 further includes:

step S61: judging whether the braking surface is rapidly heated;

if yes, outputting a temperature abnormal fault signal to the external Internet of things system;

if not, go to step S62;

step S62: judging whether the rotor is in a rotating state or not according to the rotating state parameters;

if yes, outputting a brake fault signal to the external Internet of things system, and then returning to the step S1;

if not, outputting a stator over-temperature fault signal to the external Internet of things system, and then returning to the step S1.

Technical Field

The invention relates to the technical field of elevator traction machine monitoring, in particular to a monitoring device and a monitoring method for a permanent magnet synchronous traction machine.

Background

The permanent magnet synchronous traction machine is used as a core component in an elevator system and plays a decisive role in the safe and stable operation of the elevator. Once the operating state of the tractor is abnormal and not found in time, serious potential safety hazards can be buried in the safe and stable operation of the elevator, and serious safety accidents can happen in serious cases.

Currently, several patents also provide apparatus and methods for monitoring the traction machine. For example, a temperature sensor is used for monitoring the temperature of a stator winding of a permanent magnet synchronous tractor to judge whether the temperature reaches the demagnetization temperature of a permanent magnet, and an alarm is given after the demagnetization temperature is maintained for a certain time (application number: CN 201510017111.8).

Disclosure of Invention

Aiming at the problems in the prior art, a monitoring device and a monitoring method for a permanent magnet synchronous traction machine are provided.

The specific technical scheme is as follows:

a monitoring device of a permanent magnet synchronous traction machine comprises:

the mounting plate is provided with a temperature sensor and a magnetic field sensor and is fixedly connected with the shell of the permanent magnet synchronous traction machine;

the temperature sensor is used for sensing the temperature of the braking surface of the rotor of the permanent magnet synchronous traction machine and generating a temperature signal;

the magnetic field sensor is used for sensing the magnetic field of the permanent magnet synchronous traction machine and generating a magnetic field signal;

and the processing module is in signal connection with the temperature sensor and the magnetic field sensor, receives the temperature signal and the magnetic field signal, judges the fault condition of the permanent magnet synchronous traction machine, generates a fault signal and sends the fault signal to an external Internet of things system.

Preferably, the mounting plate has a temperature sensor bracket vertically disposed thereon, extending from the mounting plate into a gap between a braking device of the permanent magnet synchronous traction machine and the rotor of the permanent magnet synchronous traction machine;

the temperature sensor is arranged on one side of the first support, which faces the braking surface of the rotor.

Preferably, the braking means is provided on the inside of the rotor or on the outside of the rotor.

Preferably, the magnetic field sensor is vertically arranged on the mounting plate and extends from the mounting plate to a gap between a coil of the permanent magnet synchronous traction machine and the rotor;

the rotor is provided with the permanent magnet.

Preferably, the processing module further has an alarm submodule connected to the external internet of things system, and generates a fault signal according to a fault condition of the permanent magnet synchronous traction machine and sends the fault signal to the external internet of things system.

Preferably, the processing module calculates the rotating speed of the permanent magnet synchronous traction machine according to the magnetic field signal.

A monitoring method of a permanent magnet synchronous traction machine, which is applied to the monitoring device, wherein a temperature sensor of the monitoring device continuously monitors the temperature of the braking surface of a rotor and generates a temperature signal, and a magnetic field sensor of the monitoring device continuously monitors the magnetic field of a permanent magnet and generates a magnetic field signal, the monitoring method specifically comprises the following steps:

step S1: generating a rotation state parameter according to the magnetic field signal;

the rotation state parameter is used for indicating that the rotor is in a rotation state or a static state;

step S2: judging whether the temperature of the braking surface is in a safe temperature range or not according to the temperature signal, and judging whether the permanent magnet has intensity mutation or not according to the magnetic field signal;

when the temperature is in a safe range and the permanent magnet has no sudden strength change, turning to step S3;

when the temperature is not in the safety range and the permanent magnet has no sudden strength change, turning to step S6;

when the temperature is in a safe range and the permanent magnet has sudden strength change, turning to step S7;

when the temperature is not in the safety range and the permanent magnet has sudden strength change, the step is turned to S8;

step S3: judging whether the rotor is in a rotating state or not according to the rotating state parameters;

if yes, go to step S4;

if not, outputting a shutdown state signal and a temperature signal to an external Internet of things system, and then returning to the step S1;

step S4: outputting the temperature signal to an external Internet of things system, and calculating the rotating speed of the rotor;

step S5: judging whether the rotating speed exceeds a threshold value;

if yes, outputting an overspeed fault signal to the external Internet of things system, and then returning to the step S1; if not, outputting a rotation speed signal to the external Internet of things system, and then returning to the step S1.

Step S6: and judging the temperature fault type according to the temperature signal, outputting the temperature fault signal to an external Internet of things system, and then returning to the step S1.

Step S7: and outputting a permanent magnet fault signal to an external Internet of things system, and then returning to the step S1.

Step S8: and judging the temperature fault type according to the temperature signal, outputting the temperature fault signal to the external Internet of things system, simultaneously outputting a permanent magnet fault signal to the external Internet of things system, and then returning to the step S1.

Preferably, the step S4 further includes:

step S41: outputting the temperature signal to the external Internet of things system;

step S42: acquiring the number of permanent magnets of the permanent magnet synchronous traction machine;

step S43: calculating a period of the magnetic field signal;

step S44: and calculating the rotating speed according to the number of the permanent magnets and the period of the magnetic field signal.

Preferably, the step S6 further includes:

step S61: judging whether the braking surface is rapidly heated;

if yes, outputting a temperature abnormal fault signal to the external Internet of things system;

if not, go to step S62;

step S62: judging whether the rotor is in a rotating state or not according to the rotating state parameters;

if yes, outputting a brake fault signal to the external Internet of things system, and then returning to the step S1;

if not, outputting a stator over-temperature fault signal to the external Internet of things system, and then returning to the step S1.

The technical scheme has the following advantages or beneficial effects: the temperature sensor and the magnetic field sensor are used for respectively detecting the temperature of the rotor braking surface and the magnetic field change of the permanent magnet, relatively accurate fault judgment results are generated through comprehensive judgment, the accuracy is high, the detection effect is good, and meanwhile, the system is also connected with an external Internet of things system, so that fault conditions can be conveniently reported for fault maintenance.

Drawings

Embodiments of the present invention will now be described more fully hereinafter with reference to the accompanying drawings. The drawings are, however, to be regarded as illustrative and explanatory only and are not restrictive of the scope of the invention.

FIG. 1 is a front view of an embodiment of the present invention;

FIG. 2 is an oblique view of an embodiment of the present invention;

FIG. 3 is a partial view of an embodiment of the present invention;

FIG. 4 is a schematic view of a mounting plate according to an embodiment of the present invention;

FIG. 5 is a cross-sectional view of an embodiment of the present invention;

FIG. 6 is a schematic view of a magnetic field sensor according to an embodiment of the present invention;

FIG. 7 is a schematic diagram of the magnetic field monitoring principle of the embodiment of the present invention;

FIG. 8 is a schematic diagram of a magnetic field signal without a fault in an embodiment of the present invention;

FIG. 9 is a schematic illustration of a magnetic field signal with a fault in an embodiment of the present invention;

FIG. 10 is an overall schematic view of an embodiment of the present invention;

FIG. 11 is a schematic diagram of a monitoring method according to a real-time embodiment of the present invention;

FIG. 12 is a schematic diagram illustrating the substep of step S4 according to an embodiment of the present invention;

fig. 13 is a schematic diagram illustrating the substep of step S6 according to an embodiment of the present invention.

Description of reference numerals: the system comprises a 1-coil, a 2-first monitoring device, a 3-second monitoring device, a 4-rotor, a 5-braking device, a 6-permanent magnet, a 7-processing module, an 8-external Internet of things system, a 201-temperature sensor, a 201A-temperature sensor bracket, a 202-magnetic field sensor, a 203-mounting plate and a 701-alarm submodule.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

It should be noted that the embodiments and features of the embodiments may be combined with each other without conflict.

The invention is further described with reference to the following drawings and specific examples, which are not intended to be limiting.

The invention comprises the following steps:

a monitoring apparatus of a permanent magnet synchronous traction machine, as shown in fig. 1 to 5, comprising:

the mounting plate 203, the temperature sensor 201 and the magnetic field sensor 202 are arranged on the mounting plate 203, and the mounting plate 203 is fixedly connected with the shell of the permanent magnet synchronous traction machine;

the temperature sensor 201 is used for sensing the temperature of the braking surface of the rotor 4 of the permanent magnet synchronous traction machine and generating a temperature signal;

the magnetic field sensor 202 is used for sensing the magnetic field of the permanent magnet 6 of the permanent magnet synchronous traction machine and generating a magnetic field signal;

and the processing module 7 is in signal connection with the temperature sensor 201 and the magnetic field sensor 202, receives the temperature signal and the magnetic field signal, judges the fault condition of the permanent magnet synchronous traction machine, generates a fault signal, and sends the fault signal to the external internet of things system 8.

In a preferred embodiment, as shown in fig. 1, a plurality of monitoring devices disclosed in the present invention can be used in combination, such as the first monitoring device 2 and the second monitoring device 3, and by adding a plurality of monitoring devices, a fault can be determined in time for a part of the hoisting machine with a larger size, or a fault can be determined in time in a part of fault situations, such as when a temperature abnormal condition exists at a certain point of the stator winding when the hoisting machine is stopped.

In a preferred embodiment, the monitoring devices are also used in a single set, mounted in a manner consistent with the combined use of multiple sets of monitoring devices. The traction machine fault detection can be realized by arranging at least one monitoring device, the application range of the traction machine is expanded, and the traction machine can be monitored under various conditions, such as smaller size of the traction machine, more compact inner space of a shell and the like.

In a preferred embodiment, the mounting plate 203 is provided with a temperature sensor support 201A, and the temperature sensor support 201A is vertically arranged on the mounting plate 203 and extends from the mounting plate 203 to a gap between the braking device 5 of the permanent magnet synchronous traction machine and the rotor 4 of the permanent magnet synchronous traction machine;

the temperature sensor 201 is arranged on the side of the first bracket facing the braking surface of the rotor 4.

Specifically, the temperature sensor 201 is preferably a non-contact infrared sensor, and by being configured as a non-contact infrared sensor, the temperature of the braking surface can be effectively monitored when the braking surface of the rotor 4 is not contacted, so that the influence of the contact sensor on the rotor 4 is avoided. Meanwhile, the monitoring device is preferably installed in cooperation with the braking device, but the monitoring device has the advantage that the monitoring device can be installed at other air gap positions to achieve the required monitoring effect.

In a preferred embodiment, the braking device 5 is arranged on the inside of the rotor 4 or on the outside of the rotor 4.

Specifically, the brake device 5 may be a drum brake provided on the inner side of the rotor, or an outer wrap brake provided on the outer side of the rotor. It should be understood that, with the change of the specific type of the braking device 5, the relative position of the braking device 5 and the rotor 4 may also be changed, which may result in the change of the braking surface of the rotor 4, but no matter what type of braking device 5 is adopted, the temperature sensor 201 should be disposed on the side of the temperature sensor holder 201A facing the braking surface of the rotor 4, and be used for sensing the real-time temperature value of the braking surface and processing the real-time temperature value through the processing module 7 to generate the temperature change value.

In a preferred embodiment, the magnetic field sensor 202 is vertically arranged on the mounting plate 203, and extends from the mounting plate 203 to the gap between the coil 1 and the rotor 4 of the permanent magnet synchronous traction machine;

the rotor 4 is provided with permanent magnets 6.

Specifically, as shown in fig. 6, the magnetic field sensor 202 is preferably a hall element which extends into the gap between the coil 1 and the rotor 4 of the traction machine, senses the magnetic field emitted from the permanent magnet, and as shown in fig. 7, the excitation current I of the hall element flows in from the ends a, b, and electromotive force E is generated at the ends c, d according to the hall effect. When the excitation current I is constant, the hall electromotive force E increases as the magnetic field strength B increases, the magnetic field direction is reversed, and the direction of the hall electromotive force also changes.

In a preferred embodiment, the magnetic field strength B which is measured in a normal condition and changes along with the time T is shown in fig. 8, when the measured magnetic field strength is shown in fig. 9, the local magnetic field is abnormal, the condition that the permanent magnet 6 is defective or lost is preliminarily judged, at the moment, the machine is shut down, an alarm signal is sent out and is communicated to an external Internet of things system 8, maintenance personnel is informed to maintain or replace the permanent magnet 6 in time, major elevator accidents caused by the defect or the loss of the permanent magnet 6 can be avoided, and the running safety of the elevator system is improved.

In a preferred embodiment, as shown in fig. 10, the processing module 7 further has an alarm submodule 701, and the alarm submodule 701 is connected to the external internet of things system 8, and generates a fault signal according to the fault condition of the permanent magnet synchronous traction machine and sends the fault signal to the external internet of things system 8.

In a preferred embodiment, the processing module 7 calculates the rotation speed of the permanent magnet synchronous traction machine according to the magnetic field signal.

Specifically, when the magnetic field sensor 202 detects that the rotor 4 is in a rotating state and there is no magnetic field intensity sudden change, the real-time rotating speed of the traction machine can be calculated according to the number of the permanent magnets 6 input in advance and the detected magnetic field change period, so that the real-time rotating speed of the traction machine can be monitored.

Further, when the rotating speed exceeds the safety range, the detection device can also send out an alarm signal, stops the machine and contacts the external Internet of things system 8, and related personnel are informed to handle the abnormal operation state of the tractor, so that major safety accidents are avoided.

A monitoring method of a permanent magnet synchronous traction machine, which is applied to the monitoring device, wherein a temperature sensor of the monitoring device continuously monitors the temperature of the braking surface of the rotor 4 and generates a temperature signal, and a magnetic field sensor of the monitoring device continuously monitors the magnetic field of the permanent magnet 6 and generates a magnetic field signal, as shown in fig. 11, the monitoring method specifically includes:

step S1: generating a rotation state parameter according to the magnetic field signal;

the rotation state parameter is used for indicating that the rotor 4 is in a rotation state or a static state;

specifically, the magnetic field sensor 202 detects the magnetic field intensity of the permanent magnet 6 in real time, and when the detected magnetic field intensity changes in real time, it indicates that the rotor 4 is in a rotating state, otherwise, it indicates that the rotor 4 is in a stationary state.

Step S2: judging whether the temperature of the braking surface is in a safe temperature range or not according to the temperature signal, and judging whether the permanent magnet 6 has intensity mutation or not according to the magnetic field signal;

when the temperature is within the safe range and there is no sudden change in the strength of the permanent magnet 6, the process goes to step S3;

when the temperature is not within the safe range and there is no sudden change in the strength of the permanent magnet 6, the process goes to step S6;

when the temperature is within the safe range and the permanent magnet 6 has sudden strength change, the step is turned to step S7;

when the temperature is not within the safe range and the permanent magnet 6 has a sudden change in strength, the process goes to step S8;

step S3: judging whether the rotor 4 is in a rotating state or not according to the rotating state parameters;

if yes, go to step S4;

if not, outputting a shutdown state signal and a temperature signal to the external Internet of things system 8, and then returning to the step S1;

specifically, when the processing module 7 determines that the rotor 4 is in a stationary state through the real-time magnetic field intensity output by the magnetic field sensor 202 and the temperature sensor 201 detects that the temperature is in a safe range, it may be determined that the hoisting machine is in a normal shutdown state at this time.

Step S4: outputting a temperature signal to an external Internet of things system 8, and calculating the rotating speed of the rotor 4;

step S5: judging whether the rotating speed exceeds a threshold value;

if yes, outputting an overspeed fault signal to the external Internet of things system 8, and then returning to the step S1;

if not, outputting a rotation speed signal to the external internet of things system 8, and then returning to the step S1.

Step S6: and judging the temperature fault type according to the temperature signal, outputting the temperature fault signal to the external internet of things system 8, and then returning to the step S1.

Step S7: and outputting a permanent magnet fault signal to the external internet of things system 8, and then returning to the step S1.

Specifically, if the permanent magnet 6 has an intensity sudden change condition as shown in fig. 9, which indicates that the permanent magnet 6 has a defect or loss of magnetism, the machine is shut down to send an alarm signal and communicate with the external internet of things system 8, so as to inform maintenance personnel to maintain or replace the permanent magnet 6 in time, thereby avoiding major elevator accidents caused by the defect or loss of magnetism of the permanent magnet 6 and improving the safety of the elevator system operation.

Step S8: and judging the temperature fault type according to the temperature signal, outputting the temperature fault signal to the external Internet of things system 8, simultaneously outputting the permanent magnet fault signal to the external Internet of things system 8, and then returning to the step S1.

In a preferred embodiment, as shown in fig. 12, step S4 further includes:

step S41: outputting a temperature signal to an external Internet of things system 8;

step S42: acquiring the number of permanent magnets 6 of the permanent magnet synchronous traction machine;

step S43: calculating the period of the magnetic field signal;

step S44: the rotation speed is calculated according to the number of the permanent magnets 6 and the period of the magnetic field signal.

Specifically, when the processing module 7 judges that the rotor 4 is in a rotating state and has no magnetic field intensity mutation through the real-time magnetic field intensity output by the magnetic field sensor 202, the real-time rotating speed of the tractor can be output according to the number of the permanent magnets 6 input in advance and the detected magnetic field change period, the monitoring of the real-time rotating speed of the tractor is realized, when the rotating speed exceeds a safety range, the detection device sends out an alarm signal, stops the tractor and communicates the tractor to the outside, related personnel are informed to correspond to the abnormal operation state of the tractor in a steering mode, and major safety accidents are avoided.

In a preferred embodiment, as shown in fig. 13, step S6 further includes:

step S61: judging whether the braking surface is rapidly heated;

if yes, outputting a temperature abnormal fault signal to an external Internet of things system 8;

if not, go to step S62;

step S62: judging whether the rotor 4 is in a rotating state or not according to the rotating state parameters;

if yes, outputting a brake fault signal to the external internet of things system 8, and then returning to the step S1;

if not, outputting a stator over-temperature fault signal to the external internet of things system 8, and then returning to the step S1.

Specifically, when the processing module 7 judges that the rotor 4 rotates according to the real-time magnetic field intensity output by the magnetic field sensor 202, and the temperature sensor 201 detects that the temperature of the braking surface exceeds the safety range and is accompanied with a rapid temperature rise phenomenon, namely the temperature rise amplitude in the set duration time delta T exceeds the set threshold value delta T, the condition that the braking device 5 is not normally lifted under the running state of the tractor can be preliminarily judged, at the moment, the alarm submodule 701 sends out an alarm signal, the tractor is stopped and is connected to the external internet of things system 8, and related maintenance personnel are informed to turn to troubleshooting and repair the condition that the device 5 is not normally lifted, so that a serious safety accident is avoided, and potential safety hazards are eliminated.

Further, when the processing module 7 judges that the rotor 4 is static through the real-time magnetic field strength output by the magnetic field sensor 202, and the temperature sensor 201 detects that the temperature of the braking surface exceeds a safety range and is accompanied with a rapid temperature rise phenomenon, namely the temperature rise amplitude in the set duration time delta T exceeds a set threshold value delta T, the condition that the tractor is in an abnormal shutdown state can be preliminarily judged, and the tractor is in a temperature change caused by abnormal heating of the stator winding in the coil 1, an alarm signal is sent out at the moment, the tractor is shut down and is connected to the external Internet of things system 8, maintenance personnel are informed to timely eliminate and correspond to abnormal temperature rise steering faults of the stator winding, serious elevator accidents caused by the abnormal temperature rise steering faults are avoided, and the operation safety of the elevator system is improved.

The invention has the beneficial effects that: the temperature sensor and the magnetic field sensor are used for respectively detecting the temperature of the rotor braking surface and the magnetic field change of the permanent magnet, relatively accurate fault judgment results are generated through comprehensive judgment, the accuracy is high, the detection effect is good, and meanwhile, the external Internet of things system is connected, so that the fault condition can be conveniently reported, and the turning to fault maintenance can be conveniently carried out.

As will be appreciated by one of ordinary skill in the art, various aspects of the invention, or possible implementations of various aspects, may be embodied as a system, method, or computer program product. Accordingly, aspects of the present invention, or possible implementations of aspects, may take the form of an entirely hardware embodiment, an entirely software embodiment (including firmware, resident software, etc.) or an embodiment combining software and hardware aspects that may all generally be referred to herein as a "circuit," module "or" system. Furthermore, aspects of the invention, or possible implementations of aspects, may take the form of a computer program product, which refers to computer-readable program code stored in a computer-readable medium.

The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing, such as Random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, and portable read-only memory (CD-ROM).

A processor in the computer reads the computer-readable program code stored in the computer-readable medium, so that the processor can perform the functional actions specified in each step, or a combination of steps, in the flowcharts; and means for generating a block diagram that implements the functional operation specified in each block or a combination of blocks.

It should be understood that the processing module 7 may be understood as one or more Application Specific Integrated Circuits (ASICs), DSPs, Programmable Logic Devices (PLDs), Complex Programmable Logic Devices (CPLDs), Field Programmable Gate Arrays (FPGAs), general purpose processors, controllers, micro-controllers (MCUs), microprocessors (microprocessors), or other electronic component implementations for performing the aforementioned monitoring methods, or for executing computer readable program code for implementing the aforementioned monitoring methods.

The computer readable program code may execute entirely on the user's local computer, partly on the user's local computer, as a stand-alone software package, partly on the user's local computer and partly on a remote computer or entirely on the remote computer or server. It should also be noted that, in some alternative implementations, the functions noted in the flowchart or block diagram block may occur out of the order noted in the figures. For example, two steps or two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved.

While the invention has been described with reference to a preferred embodiment, it will be understood by those skilled in the art that various changes in form and detail may be made therein without departing from the spirit and scope of the invention.