246results about How to "Detect abnormalities in time" patented technology

The invention discloses an online transformer winding work state monitoring method. The online transformer winding work state monitoring method includes steps of acquiring transformer box wall vibration signals, three-phase voltage signals of the transformer and three-phase current signals, correspondingly calculating three power factors according to the three-phase voltage signals and the three-phase current signals of the transformer; building a transformer box wall vibration model on the basis of generalized autoregression neural network; comparing amplitude of 100Hz component of the transformer box wall vibration signals with expected output quantity of the transformer box wall vibration model, judging that running state of a transformer winding is normal if the relative error is smaller than a threshold value; and judging that the transformer winding is loose or deformed when the relative error is larger than the threshold value. The online transformer winding work state monitoring method can effectively sensitively online monitor looseness and deformation of the transformer winding, and accordingly, the transformer can be overhauled or replaced in time, and fault of short circuit of the transformer resulting from the damage of the winding is avoided.

The invention relates to a method for carrying out online monitoring on an operating state of a transformer OLTC (on-load tap-changer) and belongs to the field of signal monitoring. The method comprises the following steps of: acquiring a mechanical vibrating signal of a box wall of a transformer in real time; carrying out phase space reconstruction on the vibrating signal x(t) by using a delay coordinate method; determining a designated area V of a reconstructed phase space; calculating density distribution of space phase points; calculating a correlation coefficient rho of a space density curve before and after the OLTC actuates; if the correlation coefficient rho is more than 0.8, judging that the operating state of the OLTC is normal; and if the correlation coefficient rho is less than 0.8, judging that the operating state of the OLTC is abnormal. By carrying out real-time monitoring on the vibrating signal in the actuating process of the OLTC, efficient and accurate judgment on the working state of the transformer OLTC can be implemented. The method can be widely used for the field of online monitoring and fault diagnosis of various transformer OLTCs.

The invention provides an abnormal object recognition method and device and a storage medium. The method comprises the following steps of: obtaining a sample; processing and classifying the initial data; obtaining a training set and a verification set; wherein the training set comprises a positive sample and an unknown sample; wherein the verification set comprises a positive sample; wherein the positive sample is a known behavior data sample of an abnormal object; and then, training a prediction model by using the training set, verifying the trained prediction model by using the verificationset to obtain at least one target prediction model, and further performing identity prediction on a to-be-identified object by using the at least one target prediction model to determine whether the to-be-identified object is an abnormal object. According to the method provided by the invention, the identification accuracy of the abnormal use condition of the Internet of Things card is improved, so that the security risk of the Internet of Things card is reduced.

The invention discloses an intelligent detection method for server exception of a hybrid strategy. The method comprises a historical data acquisition and analysis step and a real-time anomaly alarm step, wherein the historical data acquisition and analysis step comprises the steps of acquiring server historical data in a preset time period, preprocessing the historical data, screening out featuresneeding to be analyzed, and taking data corresponding to each feature as a time sequence, determining a normal value and an abnormal value corresponding to each time sequence in the historical data in combination with a time sequence decomposition algorithm and a Grubbs test algorithm; calculating a normal threshold value corresponding to each feature in the historical data, i.e., a maximum valuerange and a minimum value range of a normal value in each time sequence; and taking all time sequences in the historical data as training samples, establishing a plurality of abnormal data detectionmodels to predict and judge the to-be-detected sample, and outputting the probability that the to-be-detected sample is abnormal, so as to analyze the real-time data in the real-time alarm step.

The invention relates to an excavating working face patrolling robot and application thereof. The patrolling robot comprises a robot body, an explosion-proof all-directional vehicle-mounted cloud deck, a sensor integration module, an explosion-proof infrared camera and an intrinsic safety type wireless communicating devices. Four independent suspending devices are symmetrically arranged on the front, the back, the left and the right of a rack and connected with walking devices correspondingly. An explosion-proof servo motor is connected with a transmission device. The transmission device is connected with the walking devices. An explosion-proof steering engine is connected with the independent suspending devices and controls steering of the walking devices. According to the excavating working face patrolling robot, deformation of a top plate of the working face, sudden water inflowing and operation situation of equipment can be monitored in real time, the temperature of the working face and concentration of harmful gas can be monitored in real time, the wheel type and the crawler type of the carried walking devices can be switched, all-terrain operation can be carried out, patrolling personnel can escape from the risk environment, safety of the patrolling personnel is ensured, the abnormal situation of the excavating working face can be found in time, and the situation can be found and treated in time.

The embodiment of the present invention discloses a charging control method and system. The method includes a step of receiving a high-voltage power-on instruction sent by a VCU, closing a main negative relay, and connecting a negative output end of a battery pack to a negative connecting end of a load circuit, a step of closing a first pre-charge relay in a first pre-charge circuit when a condition that the front and back voltage of the main negative relay reaches target voltage is monitored, accessing the first pre-charge circuit and carrying out pre-charge on a high voltage loop, a step of carrying out fault reporting when the pre-charge of a load loop is completed in T1 after closing the first pre-charge relay is monitored and stopping high-voltage power-on, and a step of disconnecting the first pre-charge relay when a condition that a ratio of the voltage of the load loop to the voltage of the battery pack is smaller than a preset ratio in T2 after closing the first pre-charge relay, accessing the second pre-charge circuit, and repeating the above flow. According to the embodiment of the present invention, an abnormal condition in a pre-charge process can be timely diagnosed.

The invention discloses a monitoring method for grain stock in a barn. The monitoring method can be used for scanning the upper surface of grains in the barn when the barn is empty and after the grains are put in and got out of the barn; a three-dimensional coordinate point set of the surface of the grains stored in the barn at the moments when the barn is empty and after the grains are put in and got out of the barn is obtained respectively; a barn model corresponding to each moment is constructed by software in a computer according to the three-dimensional coordinate point set at each moment respectively; and the size of the barn model is calculated, the grain stock size after ith grain inlet or outlet is calculated, the grain stock after ith grain inlet or outlet is calculated according to the density of the grains and the grain storage size, and Mi is stored in the computer. The monitoring method has the characteristics of capabilities of monitoring the grain stock and the grain variation during each gain inlet and outlet in real time, timely discovering the abnormal condition of the grains in the barn and reducing the loss to the minimum, high measuring precision, simple, convenient and quick monitoring process and capability of reducing the manual cost.

An embodiment of the application provides a hard disk failure monitoring method, device and system. According to the method, according to state data of a hard disk, a current actual consumption life of the hard disk is acquired; according to the actual consumption life and a preset life of the hard disk, a danger coefficient of the hard disk is calculated out; and the danger coefficient shows probabilistic information that the hard disk has a failure, so that a user can timely find abnormity of the hard disk and the user also can know whether the hard disk needs to be replaced in advance according to danger information, thereby avoiding a disastrous consequence caused by data loss generated due to damage to the hard disk.

The invention discloses a monitoring device and a method for predicting a tire burst, belonging to the technical field of automobile safety. The present invention replaces the pressure monitoring withthe height of the distance sensor at the point where the wheel meets the ground, and the height at which the joint for wheels and the ground to a distance sensor, wheel speed of wheels and tire temperature are taken as the predicted samples of tire burst, the obtained data are processed according to a certain algorithm, Height after application (img file= 'DDA0001806738120000011. TIF' wi= '82' he= '63' / ) Wheel speed (img file= 'DDA0001806738120000012. TIF 'wi=' 78 'he=' 63 ' / ) temperature (img file=' DDA0001806738120000013. TIF 'wi=' 71 'he=' 72 ' / ) determine that data processing module of each factor ratio weight algorithm by multi-factor fusion, you can find out exactly where the wheel of a flat tire is, or where the wheel of a flat tire is going to be. It can accurately and timely predict the risk of vehicle tire blowout, so as to avoid traffic accidents and protect the safety of personnel inside the vehicle.

The invention relates to the field of permanent magnet motor health state monitoring, and discloses a permanent magnet synchronous motor health state monitoring method and system based on multi-mode canonical correlation analysis to discover abnormal conditions of a permanent magnet motor during multi-working-condition operation in time, and the method and system are convenient to use and easy toimplement. The method comprises the following steps: selecting normal operation data of the permanent magnet synchronous motor under more than two working conditions as a training data set, and inputting the training data set into an EM algorithm to calculate and obtain parameters required by modeling; acquiring online operation data of the permanent magnet synchronous motor, and establishing a multi-modal monitoring model according to the parameters and the operation data; and monitoring the health state of the permanent magnet synchronous motor in combination with the evaluation indexes obtained by the model and a preset fault probability threshold.

The invention discloses an intelligent comparison method for main channel information and standby channel information of a power dispatching automation system. The method is characterized by comprising the following steps: first, acquiring the main channel information and the standby channel information in the same set time period in a network mirror port monitoring mode; second, performing shift-reduce parsing on the acquired main channel information and the standby channel information in real time to form events about a main channel and a standby channel, and storing the events of the main channel and the standby channel in a database; third, automatically comparing the events of the main channel and the standby channel to generate a comparison result, if the comparison result is abnormal, triggering to generate an alarm event, storing the alarm event in the database and displaying the alarm event in real time. By the method, the availability of channel data can be improved greatly, and the abnormity of the channel data can be discovered in time, so that the hot standby state of the standby channel is really in an available state at any time, and finally, a powerful guarantee is provided for improving the safe and stable operation of the power dispatching automation system.

The invention discloses an intelligent monitoring method for the power cabinet door state, which comprises the following steps of: a cabinet door status monitoring unit which takes a single chip microcomputer as a core control component and comprises a magnetic induction switch module, a timing chip, a radio frequency card-reading module and a wireless radio frequency module is installed in each power cabinet; the single chip microcomputer detects the switching status of the cabinet door of the power cabinet in real time by the magnetic induction switch module; when a door opening signal is received, the timing chip is immediately started; radio frequency card information carried by operating personnel is read by the radio frequency card-reading module; and the single chip microcomputer sends and stores the cabinet door number and the door opening and closing time of the opened power cabinet as well as the information of the operation personnel to a background server via a wireless radio frequency module. Compared with the traditional door lock monitoring method for the power cabinet door, the intelligent monitoring method for the power cabinet door state, which is disclosed by the invention, has the advantages of convenient equipment installation, long communication transmission distance and perfect monitoring function, and the working efficiency of the power cabinet maintenance and the management level of a power company can be greatly improved.

The invention relates to the technical field of charging and power switching, in particular to a power distribution system, a capacity sharing system, a server, a terminal, a method and equipment, aiming to solve the problem of how to add more charging facilities on the basis of the existing power grid capacity and electrical facilities and achieve the optimal utilization of the power of power grids. The capacity sharing system of the invention comprises a server, an acquisition and measurement terminal and an acquisition and execution terminal, wherein the acquisition and measurement terminalis used to acquire and measure power consumption data of power distribution equipment and upload the data to the server; the acquisition and execution terminal is used to obtain a charging request ofa charging facility, upload the charging request to the server, receive an instruction of the server, and issue the instruction to the corresponding charging facility; and the server is used to summarize and calculate the power consumption data and allocate available power to the charging facility that currently initiates the charging request. The scheme of the invention implements the power sharing and orderly charging of various charging facilities in a specific area. In addition, the scheme adopts a variety of flexible networking modes, such as wireless networks, and can be fully adapted to various application scenarios.

The invention provides an embedded industrial system-based security detection method and an embedded industrial system-based security detection system, which are helpful for enhancing the security of an industrial system. The method comprises the following steps: acquiring the data information of the industrial system; performing intrusion detection on the acquired data information so as to determine whether the industrial system is intruded or not; if yes, sending alarm information to a far-end sensor; if not, sending the data information to the far-end sensor; the system comprises an acquisition unit, a detection unit, a first sending unit and a second sending unit, wherein the acquisition unit is used for acquiring the data information of the industrial system; the detection unit is used for performing the intrusion detection on the acquired data information so as to determine whether the industrial system is intruded or not; the first sending unit is used for sending the alarm information to the far-end sensor when the condition that the industrial system is intruded is determined; the second sending unit is used for sending the data information to the far-end sensor if the condition that the industrial system is not intruded is determined. The embedded industrial system-based security detection method and the embedded industrial system-based security detection system provided by the invention are suitable for the technical field of industrial automation information security.

The invention discloses a material certificate-integrated multidimensional binding anti-counterfeiting method for jewelry identity tracing. A sealing label (7) is adhesive or fixed to jewelry or an accessory or an anti-counterfeiting box which can not be separated from the jewelry; an RFID chip is arranged on the sealing label (7); the RFID chip records a jewelry identification certificate; the jewelry or the accessory which can not be separated from the jewelry is equipped with a unique corresponding jewelry identity tracing system identification card (12); a two-dimensional identification code is printed on the jewelry identity tracing system identification card (12); and through reading the RFID chip and the two-dimensional identification code, a client PC / mobile phone directly reads the jewelry product identity information or logs in to a jewelry identity tracing system for verification. Through combination of mutually-related multiple anti-counterfeiting identification, jewelry identity tracing and material certificate-integrated multidimensional binding can be effectively ensured, anti-counterfeiting traceability whole-process control on the whole life cycle of the product is carried out, information identification channels are rich, the method is convenient, and remote system login is carried out, and the identity tracing is quick, efficient and safe.

The invention discloses an ecological environment monitoring and early warning method and system based on big data, and belongs to the technical field of environmental protection monitoring. The method comprises the following steps of acquiring the environment data acquired by a plurality of environment data acquisition points; performing classified statistics on the environmental data to obtain acorresponding environmental data table; analyzing the environment data table, judging whether abnormal environment data exists or not, and obtaining a first judgment result; when the first judgment result is yes, based on the category of the abnormal environment data, sending the early warning information to the corresponding supervisor, and storing an environment data table corresponding to theabnormal environment data and the early warning information in an abnormal monitoring database; and when the first judgment result is negative, storing the environment data table to a normal monitoring database, so that the real-time monitoring of the ecological environment is achieved, the abnormal condition of the ecological environment in the monitored area can be found in time, corresponding supervisors can be notified, and accordingly the rapid processing of the abnormal condition is achieved, and further the damage to the ecological environment is reduced or even avoided.

The invention discloses a phase modifier fault monitoring method based on infrared image recognition. The phase modifier fault monitoring method comprises the steps of S1, acquiring an infrared imageof a phase modifier in real time; s2, judging whether an abnormal heating part exists in the acquired infrared image or not, if so, measuring the temperature of the abnormal heating part by adopting an infrared thermal thermometer, determining the environment temperature, generating a corresponding infrared image, and entering the step S3, otherwise, entering the step S1; s3, acquiring real-time operation data of electrical equipment corresponding to the abnormal heating part; and S4, determining a fault point and a corresponding fault degree in combination with the infrared image and the real-time operation data, and generating a fault alarm signal. According to the invention, the infrared image of the phase modifier during operation is acquired, and the input system data, the monitoringdata and the past case diagnosis data are calculated and pre-judged by using the case diagnosis database and the correlation analysis method of image recognition, so that the real-time state information of the phase modifier is acquired, and pre-judgment and alarm are made for possible faults.

The invention discloses a distributed optical fiber-based blast furnace hot blast stove temperature monitoring system and method and belongs to the technical field of hot blast stove temperature detection. According to the distributed optical fiber-based blast furnace hot blast stove temperature monitoring system and method, a distributed optical fiber transversely winds the top part of a hot blast stove, both the starting end and end of the distributed optical fiber are connected with a distributed optical fiber sensor, the distributed optical fiber sensor is connected with an ARM processor, the distributed optical fiber sensor receives back scattering signals generated by the optical fiber, a novel temperature signal demodulation method is used, the temperature value of each measuring point on the optical fiber is extracted through a double-end single-way demodulation method, and the temperature value of each measuring point is sent to the ARM processor; the ARM processor is connected with an upper computer through an industrial Ethernet interface. According to the distributed optical fiber-based blast furnace hot blast stove temperature monitoring system and method, the surface temperature of the hot blast stove is performed with multi-point measurement through the distributed optical fiber, because the optical fiber directly and firmly contacts with a hot blast stove shell, the temperature measurement result is capable of reflecting the real temperature of the hot blast stove body; the distributed optical fiber-based blast furnace hot blast stove temperature monitoring system and method are convenient for early forecasting the stove shell damage situation and good for improving the service life of the hot blast stove, lowering the coke ratio and improving the blast furnace production rate.

The invention provides a laser projection light source control method and a laser projection light source control device. The laser projection light source control method is characterized in that a first luminance value of a light beam of a frame to be displayed can be acquired, and the frame to be displayed can be any frame displayed on a laser projection screen, and then the gray-scale value of the frame to be displayed and the second luminance value matched with the gray-scale value can be acquired; by comparing the first luminance value with the second luminance value, when the comparison result is not in a first threshold value range, the laser can be switched off, and then the light source abnormity can be found out timely, and therefore the projection display frame quality can be guaranteed.

The invention discloses a carrier roller fault diagnosis method and system based on machine learning and a storage medium. The carrier roller fault diagnosis method based on machine learning comprisesthe following steps of: S1, collecting audio data of a carrier roller; S2, extracting features of the audio data, wherein the features of the audio data specifically comprise one or any combination of sharpness, noise annoyance and speech interference level; S3, inputting the features of the audio data into a trained CART model, and identifying a running state of the carrier roller by using the CART model; S4, if the carrier roller operates abnormally, executing alarm, monitoring or control operation, and if the carrier roller operates normally, completing carrier roller fault diagnosis at the current moment, and executing a step S5; and S5, updating the moment, repeatedly executing the steps S1 to S4, and carrying out carrier roller fault diagnosis at the next moment. According to the carrier roller fault diagnosis method and the system, the carrier roller fault can be diagnosed in real time, and the method is easy to implement, low in cost and low in algorithm complexity.

The invention discloses a multisource data monitoring method and device and a terminal. The multisource data monitoring method comprises the following steps of: respectively obtaining display data of each data source in a plurality of data sources, wherein each data source provides at least one path of display data; and displaying the display data and / or a processing result of the display data on a plurality of functional user interfaces, wherein each functional user interface displays one path of display data and / or the processing result of the path of display data. According to the multisource data monitoring method and device and the terminal, the monitoring effect of multisource data monitoring can be improved.

The present invention discloses a time-sharing task collection method for a power grid electric energy measuring system. The method comprises the following steps of: S1, acquiring a collection task issued by a master station; S2, setting a time interval value, wherein the time interval value is smaller than collection time corresponding to the collection task; S3, carrying out segmentation on the collection task according to the time interval value to acquire collection sub-tasks in a plurality of consecutive time periods; S4, executing the collection sub-task of which start time is arranged in the most front according to a time sequence, and determining whether the current collection sub-task is successful; and S5, when the current collection sub-task is completed successfully, determining whether the collection task is completed. According to the method, the collection strategy is dispersed into different tasks by establishing the time-sharing task, the competeness of the collection is controlled by controlling the task, and even if anomalies occurs (conditions of network interruption, device anomaly of sub-stations and the like), data collection only needs to be completed continuously without human intervention after the anomalies are recovered.

The invention relates to the technical field of boiler running data monitoring, in particular to an online monitoring method and system for boiler energy efficiency. The system comprises a site monitoring system, a data acquisition system, a data analysis system and a result display system. Quick, accurate and real-time recording of the running parameters of a boiler is achieved, and abnormal running parameters are found in time. The thermal efficiency of the boiler is calculated in real time based on the collected parameters, and online monitoring of the running energy efficiency of the boiler is achieved. Users can optimize the running parameters of the boiler in time based on the monitoring data, so that the combustion efficiency is improved, the running cost is reduced, and the purposes of saving energy and reducing emission of the boiler are achieved.

A secondary operation and maintenance system relay protection device inspection tour method comprises the following steps of defining a relay protection device normal state expert database in a secondary operation and maintenance master station, and generating a standard value file according to the expert database; using the secondary operation and maintenance master station to configure an inspection tour strategy and generate an inspection tour strategy file according to the inspection tour demands; using the secondary operation and maintenance master station to issue the standard value file and the inspection tour strategy file to a secondary operation and maintenance substation; using the secondary operation and maintenance substation to carry out the inspection tour comparison on a relay protection device according to the standard value file and the inspection tour strategy file to thereby generate an inspection tour report file and return an inspection tour anomaly result to the secondary operation and maintenance master station; using the secondary operation and maintenance master station to call the inspection tour report file according to the inspection tour anomaly result. According to the relay protection device inspection tour method provided by the present invention, the inspection tour tasks are issued to the secondary operation and maintenance substation to execute, thereby being able to reduce the burdens of the secondary operation and maintenance main station, and improving the inspection tour effectively substantially.

The invention provides a high-voltage power cable anti-breaking monitoring device. The high-voltage power cable anti-breaking monitoring device comprises: a vertical pole, an integrated main box, a visualization device, a control device and a communication device. The integrated main box is arranged on the vertical pole; the visualization device is arranged on an outer box wall of the integrated main box, and the control device and communication device are arranged in the integrated main box. The control device is electrically connected to the visualization device and the communication device;and the communication device is used for being communicatively connected to a monitoring server. The visualization device is arranged at a high position through the vertical pole, and warning signs are arranged in the center of the vertical pole. The visualization device captures fixed construction point monitoring videos or pictures in a high-voltage cable line area in real time, and the monitoring videos or the pictures are sent to the monitoring server through the control device and the communication device; and the background personnel can find the abnormality of the high-voltage cable line area in time by viewing the real-time video on a construction site, and remotely alert the on-site construction personnel through an acousto-optic alarm so as to prevent the high-voltage power cable from being damaged by the external force.

Disclosed is an online coating weight monitoring method. Coatings in a coating storage container are extracted into a coating tank, a coating mechanism obtains the coatings from the coating tank and coats the coatings on a substrate, and a coating layer is formed on the substrate. The method is characterized in that redundant coatings in the coating tank spill through a spilling opening arranged in the coating tank side wall and flows back into a coating storage container to enable the liquid level in the coating tank to maintain stable; a weight sensor arranged below the coating storage container detects the weight of the coating storage container and transmits the detected coating storage container weight to a control device; and the control device calculates the coating weight according to the weight of the coating storage container, detection time intervals of the weight sensor, the substrate moving speed and the coating width. According to the online coating weight monitoring method, the coating weight can be monitored online and in real time during regular production, the work efficiency is high, coating weight data can be obtained timely and accurately, and operators are helped to find coating weight abnormal conditions timely and take corresponding measures, so that the rejection rate is reduced.

The invention discloses a setting machine monitoring and management system which comprises setting machine monitoring subsystems and a setting machine management information subsystem. Each setting machine monitoring subsystem is used for monitoring one setting machine and comprises a working condition monitoring module and a process monitoring module. Communication between the setting machine management information subsystem and the multiple setting machine monitoring subsystems can be achieved through the industrial Ethernet, and the setting machine management information subsystem comprises a concentrating monitoring module and a production management module. By means of the setting machine monitoring and management system, automatic control over setting process links can be strengthened, the energy utilization rate is improved, the production management and the process monitoring of a dying plant can be effectively combined, the setting quality is improved, the reworking rate is reduced, analysis and finding of the reworking reasons are facilitated, and the production efficiency is improved.

The invention discloses a GIS ultrahigh frequency partial discharge online monitoring system, and relates to the technical field of discharge detection devices. The system comprises an ultrahigh frequency sensor, a detection instrument main unit, and a processing terminal. The ultrahigh frequency sensor is provided with a signal transmitting unit, and an induction ultrahigh frequency radio signal sensed by the ultrahigh frequency sensor is transmitted to a signal receiving unit through the signal transmitting unit. The signal receiving unit enables the induction ultrahigh frequency radio signal to be transmitted to the detection instrument main unit for preprocessing. After preprocessing, the induction ultrahigh frequency radio signal is transmitted to the processing terminal for processing through a wired network. The processing terminal operates partial discharge analysis software, carries out the processing of the collected data, recognizes the type of partial discharge, and judges the discharge intensity. The data transmission between the sensor and the detection instrument main unit in the system is achieved through a wireless network. The system is easier for arrangement, is more convenient for measurement, can effectively achieve the electrical isolation, and is higher in safety.

The invention discloses a defect detection system and a defect detection method. The system comprises a positioning module suitable to acquire coordinate information of surface defects of a wafer, a position analysis module suitable to analyze the coordinate information and determine feature defect regions in the wafer, a sampling distribution module suitable to determine sampling feature defectsin the surface defects of the feature defect regions according to a first sampling quantity instruction, and an image acquisition module suitable to acquire image information of the sampling feature defects. The performance of the defect detection system is improved.

The embodiment of the invention discloses a liquid crystal display panel conveying system and an automatic crane thereof. The liquid crystal display panel conveying system comprises guide rails and a conveying device. The conveying device comprises a main body and wheels which are arranged at the bottom of the main body. The wheels are connected with the guide rails in a resisting way to enable the conveying device to run along the preset direction of the guide rails. The conveying device additionally comprises an alarm unit and sensors which are arranged at the lower part of the main body, wherein the sensors are used for detecting whether the wheels are abnormal or not, and the alarm unit is used for giving out an alarm when the sensors detect that the wheels are abnormal. By arranging the sensors to monitor the operation situation of the wheels in real time, the abnormality can be found in time and the alarm is given out through the alarm unit when the wheels are abnormal.