Background
The existing hot blowing type jet snow removal vehicle generally adopts an retired aviation turbojet engine as snow removal power, such as WP5, WP6, WP7 and other types of aviation engines, the retired aviation turbojet engine has few original sensor parameters, the service life of the retired aviation turbojet engine is generally only 10-20 hours, complete working parameter records are not recorded, the technical state is unclear, and the old engines have no definite monitoring and diagnosis standards during the retired period, so that the fault rate is high, and the fault hidden trouble cannot be found in time. When the snow sweeper is modified into a snow sweeper, only a control system is arranged, the control system and the state monitoring are integrated, and only part of health management functions of real-time parameter display, overrun alarm and override protection are included. The method has obvious defects in the aspects of fault diagnosis, fault isolation, fault prediction, trend analysis, service life statistics, maintenance decision, spare part planning, remote monitoring, snow removal planning and the like. On one hand, due to the fact that abnormal conditions are often sudden, timely elimination cannot be achieved, the site cannot be mastered in real time, and ordered command cannot be carried out, uncertainty risks are brought to smooth completion of snow removal tasks, serious consequences of mistaking and misdoing are caused, and unnecessary economic losses are borne; on the other hand, the health state of the snow sweeper cannot be accurately grasped in time, so that the conditions that maintenance is carried out when maintenance is not needed and is not carried out when maintenance is needed exist, the maintenance is emphasized and is unclear, and extra unnecessary maintenance cost is increased due to over-maintenance and under-maintenance conditions.
A mechanical instrument adopted by the 1 st generation aviation turbojet engine snow sweeper realizes real-time state monitoring of the snow sweeper and basically has no fault diagnosis capability. The monitored parameters only comprise a small number of parameters such as rotating speed, temperature, oil pressure and the like, once a fault occurs, the fault is basically caused by the failure of parts, only a passive post-repair strategy can be adopted, and the fault is difficult to remove, the repair time is long, and the repair cost is high.
The 2 nd generation aviation turbojet engine snow remover adopts a digital control system, and the system is added with the functions of real-time state monitoring, overrun warning and overrun protection of the snow remover on the basis of realizing the control function, and can detect and display the participating control parameters of the snow remover, such as the rotating speed, the temperature, the lubricating oil pressure, the fuel oil pressure, the starting voltage, the fuel oil quantity and the like of the aviation engine of the snow remover. The video monitoring unit aims to assist the operator of the snow sweeper to monitor the surrounding conditions of the vehicle. The method has certain early warning capability for serious failure faults of parts, and generally adopts post-repair and timing repair strategies.
The existing snow sweeper and the remote command center basically adopt interphone or radio station communication to implement operation command scheduling and information instruction uploading and issuing, a commander asks and listens to the position, operation effect and vehicle condition reported by a vehicle operator, the vehicle operator can only receive information such as scheduling instructions, flight information, meteorological condition and the like through calling, and a maintenance worker can not master real-time conditions of a motorcade basically.
The defects of the related technical scheme of the existing heat blowing type snow remover health management are as follows:
1. it is a limited single-machine monitoring system, and its operation mode is simple monitoring. The control system of the existing hot blowing type snow remover mainly aims at controlling the working state of an aircraft engine and only can finish simple state parameter monitoring.
2. The fault diagnosis capability is weak. The existing domestic hot blowing snow sweeper mainly adopts a turbojet engine, and the engine has fewer sensor parameters and can only monitor a small number of parameters such as the rotating speed, the temperature, the lubricating oil pressure, the fuel oil pressure and the like of the engine. Most of the faults are fault detection based on real-time parameters, only simple parameter threshold value alarm can be made, the content of fault detection, isolation and prediction of an aircraft engine, which is the core of snow removal power, is less, and almost no trend analysis and health assessment functions exist.
3. Basically do not possess long-range fortune dimension administrative function, command center and the communication of snow remover motorcade mainly rely on the intercom communication, grasp snow remover position through the intercom communication, time of endurance, snow removing effect, snow remover operational aspect and issue various scheduling instructions, limited information such as meteorological message, motorcade support personnel can not do real-time to the understanding of snow remover condition, only can know through inquiry or inspection after accomplishing the operation, hidden trouble is hardly in time discovered, basically do not possess maintenance decision-making, spare part planning, long-range video monitoring, long-range fortune dimension administrative function such as intelligence snow removal planning.
Related data is consulted, and no related method and technology for health management, comprehensive monitoring and remote operation and maintenance exist in various domestic snow removal vehicles.
SUMMERY OF THE UTILITY MODEL
The utility model aims to overcome the defects of the prior art and provides a health management and 5G remote operation and maintenance system of a hot blowing type snow remover, which is used for solving the problems that a single snow remover lacks single-machine comprehensive health management, a plurality of snow removers do not have remote operation and maintenance management and the like.
In order to solve the technical problem, the technical scheme of the utility model is as follows: the utility model provides a health management and the long-range fortune dimension system of 5G of formula snow sweeper are blown to heat, removes end health management device, cloud platform and long-range end including the snow sweeper and synthesizes health management and long-range fortune dimension service unit, the snow sweeper removes end health management device and cloud platform wireless connection, and cloud platform synthesizes health management and long-range fortune dimension service unit wireless connection with the long-range end, the snow sweeper removes end health management device and installs on the snow sweeper, and long-range end synthesizes health management and long-range fortune dimension service unit and installs in remote center.
Preferably, the snow sweeper mobile terminal health management device comprises a data acquisition unit, a 4G/5G mobile terminal communication unit, a video monitoring unit, a navigation positioning unit and a health management host device, wherein the data acquisition unit, the video monitoring unit and the navigation positioning unit are respectively electrically connected with the health management host device through data interfaces, the health management host device is electrically connected with the 4G/5G mobile terminal communication unit in a bidirectional mode through the data interfaces, and the 4G/5G mobile terminal communication unit is wirelessly connected with a cloud platform.
Preferably, the data acquisition unit consists of a sensor group and a data acquisition unit, the sensor group comprises an engine sensor, a starting system sensor, a power system sensor, a fuel system sensor, a lubricating oil system sensor, an atmospheric parameter sensor and a fire-fighting system sensor, the engine sensor, the starting system sensor, the power system sensor, the fuel system sensor, the lubricating oil system sensor, the atmospheric parameter sensor and the fire-fighting system sensor are respectively connected with the data acquisition unit and are installed at corresponding positions of the snow sweeper, and the data acquisition unit is electrically connected with the health management host device through a data interface.
Preferably, the health management host device comprises a mobile end health management system and a human-computer interface, the mobile end health management system is electrically connected with the human-computer interface in a bidirectional mode, and the mobile end health management system comprises a rapid diagnosis and analysis module, a real-time monitoring module, a grading alarm and prompt module, a history viewing module, a health evaluation module, a video monitoring navigation positioning module, a remote instruction database, a real-time database, a relational database and a fault database.
Preferably, the remote comprehensive health management and remote operation and maintenance service device comprises a 4G/5G central end communication unit and a remote operation and maintenance management central host device, the remote operation and maintenance management central host device is in bidirectional electric connection with the 4G/5G central end communication unit through a data interface, and the 4G/5G central end communication unit is in wireless connection with the cloud platform.
Preferably, the remote operation and maintenance management center host device comprises a remote operation and maintenance end health management system and a human-computer interface, wherein the remote operation and maintenance end health management system is in bidirectional electric connection with the human-computer interface, and the remote operation and maintenance end health management system comprises a real-time database, an alarm event library, a mode matching library, a maintenance method library, an equipment component library, a relation database, a diagnosis and prediction module, a trend analysis module, a maintenance decision module, a spare part planning module, a snow removal planning module, a video positioning module, a technical support module and a parameter management module.
Preferably, the cloud platform 2 is a VPN cloud platform.
Compared with the prior art, the utility model has the advantages that:
(1) the utility model can be divided into 3 major parts according to the entity, namely a snow remover moving end health management device, a cloud platform and a remote end comprehensive health management and remote operation and maintenance service device, and a single snow remover moving end health management device is provided at the snow remover moving end, so that the on-site state monitoring, fault diagnosis and health evaluation of a single snow remover are realized; the remote center remote command end provides a remote end comprehensive health management and remote operation and maintenance service device, so that remote real-time deep fault diagnosis and prediction, maintenance decision making and snow removal planning of a motorcade are realized; the snow removal vehicle moving end health management device and the remote end comprehensive health management and remote operation and maintenance service device use a 4G/5G communication unit, a wireless public network is utilized to access a VPN cloud platform, wireless connection between a remote center and a snow removal vehicle is realized through the VNP cloud platform, networking communication between the snow removal vehicle moving end and the remote end is realized, and moving end field data and remote end information instructions are uploaded and issued, so that snow removal operation of a snow removal fleet is safely, reliably, controllably and efficiently carried out in a saving mode, the utilization rate of a road surface is improved, loss is reduced, cost is reduced, and benefits are improved;
(2) the VPN cloud platform network has the characteristics and advantages that the VPN cloud platform network is unattended, has no field management equipment, can realize cloud remote management, can increase and decrease terminal equipment at any time under the condition of not changing the network, and has the remote operation and maintenance management function;
(3) the utility model has reasonable design and strong fault diagnosis capability, one remote end can simultaneously manage a plurality of snow remover moving ends, the integral layout and dispatching are convenient, the cost is greatly saved, the utility model can realize an active maintenance strategy, the fault is eliminated in advance, the repair time is short, and the maintenance cost is low.
Detailed Description
The following describes embodiments of the present invention with reference to examples:
it should be noted that the structures, proportions, sizes, and other elements shown in the specification are included for the purpose of understanding and reading only, and are not intended to limit the scope of the utility model, which is defined by the claims, and any modifications of the structures, changes in the proportions and adjustments of the sizes, without affecting the efficacy and attainment of the same.
In addition, the terms "upper", "lower", "left", "right", "middle" and "one" used in the present specification are for clarity of description, and are not intended to limit the scope of the present invention, and the relative relationship between the terms and the terms is not to be construed as a scope of the present invention.
Example 1
As shown in figure 1, the utility model discloses a health management and 5G remote operation and maintenance system of a hot-blowing snow sweeper, which comprises a snow sweeper mobile end health management device 1, a cloud platform 2 and a remote end comprehensive health management and remote operation and maintenance service device 3, wherein the snow sweeper mobile end health management device 1 is in wireless connection with the cloud platform 2, the cloud platform 2 is in wireless connection with the remote end comprehensive health management and remote operation and maintenance service device 3, the snow sweeper mobile end health management device 1 is installed on the snow sweeper, and the remote end comprehensive health management and remote operation and maintenance service device 3 is installed in a remote center.
Example 2
As shown in fig. 2, preferably, the snow remover mobile terminal health management device 1 includes a data acquisition unit 1-1, a 4G/5G mobile terminal communication unit 1-2, a video monitoring unit 1-3, a navigation positioning unit 1-4 and a health management host device 1-5, wherein the data acquisition unit 1-1, the video monitoring unit 1-3 and the navigation positioning unit 1-4 are respectively electrically connected with the health management host device 1-5 through a data interface, the health management host device 1-5 is electrically connected with the 4G/5G mobile terminal communication unit 1-2 through a data interface in a bidirectional manner, and the 4G/5G mobile terminal communication unit 1-2 is wirelessly connected with the cloud platform 2.
The data acquisition unit 1-1 is used for acquiring real-time data of the snow sweeper and storing the real-time data into a real-time database according to a specified format and a specified time sequence; the 4G/5G mobile terminal communication unit 1-2 realizes wireless connection and information exchange between the snow remover mobile terminal and the VPN cloud platform; the video monitoring unit 1-3 and the navigation positioning unit 1-4 are used for displaying pictures shot by a camera installed on the snow sweeper and providing navigation, and the health management host device 1-5 is used for operating the snow sweeper mobile end health management system.
Example 3
As shown in fig. 2, preferably, the data acquisition unit 1-1 is composed of a sensor group and a data acquisition unit, the sensor group includes an engine sensor, a starting system sensor, a power system sensor, a fuel system sensor, a lubricating oil system sensor, an atmospheric parameter sensor and a fire protection system sensor, the engine sensor, the starting system sensor, the power system sensor, the fuel system sensor, the lubricating oil system sensor, the atmospheric parameter sensor and the fire protection system sensor are respectively connected with the data acquisition unit and are installed at corresponding positions of the snow sweeper, and the data acquisition unit is electrically connected with the health management host device 1-5 through a data interface.
The sensor group is used for sensing the type parameters of the snow sweeper such as the rotating speed, the temperature, the pressure, the vibration and the position of the actuating mechanism and providing basic data for the health management system, wherein the basic data comprises parameters of a fuel system of the snow sweeper, parameters of a power supply system, parameters of an atmospheric environment, parameters of a hydraulic starting system, navigation positioning parameters, parameters of a gas path system of an aviation turbofan engine, parameters of a lubricating oil system, vibration parameters and the like.
The data acquisition unit is used for converting the sensor signals into digital signals and transmitting the digital signals to the health management host device 1-5 through a field data bus.
The 4G/5G mobile terminal communication unit 1-2 is used for accessing the vehicle-mounted mobile terminal health management software system to a public network and connecting the public network through a 4G/5G Internet of things router.
The data communication between the health management host device 1-5 and the data acquisition unit 1-1 and the data communication between the 4G/5G communication unit 1-2 adopt a TCP/IP communication protocol.
The health management host device 1-5 is connected with the snow sweeper through a local network to acquire real-time state data of the snow sweeper.
The health management host device 1-5 is in wireless connection with the remote end through a 4G/5G communication unit, on one hand, real-time data of the snow sweeper is sent to the remote end, and on the other hand, an operation and maintenance instruction of the remote end is obtained.
As shown in fig. 2, preferably, the health management host device 1-5 includes a mobile end health management system and a human-machine interface, the mobile end health management system and the human-machine interface are electrically connected in two ways, and the mobile end health management system includes a rapid diagnosis and analysis module, a real-time monitoring module, a hierarchical warning and prompting module, a history viewing module, a health evaluation module, a video monitoring navigation positioning module, a remote instruction database, a real-time database, a relational database and a fault database.
Remote instruction database: a database for storing remote-end instructions received through the 4G/5G communication unit;
a real-time database: the snow sweeper is used for storing the real-time data of the snow sweeper collected by the data collecting unit.
A relational database: the system is used for storing the setting parameters and index parameters of the system.
A fault database: for storing exception event information.
A rapid diagnostic analysis module: the expert criterion base is a logic combination of measurable parameters, each logic combination corresponds to an abnormal equipment state, the equipment state is normal when the logic value is false, and the abnormal equipment state is expressed when the logic value is true. The expert criteria include fault condition criteria, performance anomaly criteria, and lifetime control criteria. The expert criterion base is utilized to rapidly diagnose whether the real-time data of the snow sweeper contains the fault or not, and the abnormal events can be divided into fault events, performance events and life control events.
A real-time monitoring module: the running data and the state of the engine and each subsystem of the snow sweeper are monitored and displayed in real time in a mode of simulating an instrument, a state signal lamp and numbers or curves.
A grading warning and prompting module: the system is used for immediately sending alarm information and prompting a corresponding disposal method when the parameters are out of limit or abnormal is quickly diagnosed, and is classified into different levels for alarm according to the fault hazard degree, and the alarm is prompted in an alarm window in the modes of characters, signal lamps, voice and the like.
A history viewing module: used for viewing the historical data of the snow remover in a curve and table mode.
A health assessment module: implementing a multi-directional comprehensive health status assessment based on real-time and historical alarm events of a snow sweeper, comprising:
and fault probability evaluation is used for evaluating the probability of faults occurring in a short future time according to the historical fault number, the fault level and the fault distribution.
And the service life condition evaluation is used for calculating and recording the service life consumption of the equipment or the components in the maintenance period according to the service life loss of each equipment or component under different working conditions, and evaluating the service life condition of the equipment or the components.
And the performance condition evaluation is used for judging the performance of the related subsystems and components of the snow sweeper and evaluating the performance condition of the equipment according to the difference value of the relative ideal performance value of the current performance of the snow sweeper and the failure alarm threshold value.
And the video monitoring navigation positioning module is used for monitoring the snow removal effect and the condition of the aircraft engine of the snow remover through the picture shot by the camera and providing a navigation positioning function.
Example 4
As shown in fig. 3, preferably, the remote-end integrated health management and remote operation and maintenance service device 3 includes a 4G/5G central-end communication unit 3-1 and a remote operation and maintenance management central host device 3-2, the remote operation and maintenance management central host device 3-2 is bidirectionally and electrically connected to the 4G/5G central-end communication unit 3-1 through a data interface, and the 4G/5G central-end communication unit 3-1 is wirelessly connected to the cloud platform 2.
The 4G/5G central end communication unit 3-1 is used for accessing the remote end comprehensive health management and remote operation and maintenance service device 3 to a public network, and the remote end comprehensive health management and remote operation and maintenance service device 3 can realize the health monitoring and operation and maintenance management of all snow removal vehicles.
The data interface is used for providing acquisition and transmission data, and comprises:
the obtained data refers to all state data of all vehicles of the snow remover fleet, and real-time data interaction between the remote center and the snow remover fleet is achieved; the transmitted data refer to snow removal planning and maintenance support instructions of the remote center.
As shown in fig. 3, preferably, the remote operation and maintenance management center host device 3-2 includes a remote operation and maintenance end health management system and a human-machine interface, the remote operation and maintenance end health management system and the human-machine interface are electrically connected in two ways, and the remote operation and maintenance end health management system includes a real-time database, an alarm event library, a pattern matching library, a maintenance method library, an equipment component library, a relationship database, a diagnosis and prediction module, a trend analysis module, a maintenance decision module, a spare part planning module, a snow removal planning module, a video positioning module, a technical support module, and a parameter management module.
A real-time database: the system is used for storing all state data of all vehicles of the fleet;
alarm event library: the system is used for storing all abnormal alarm events;
equipment component library: the system is used for storing data of configuration parts and data of maintenance spare parts of the aircraft engine of the snow sweeper;
a maintenance method library: the method is used for storing abnormal event failure modes and life control mode knowledge, and corresponding maintenance methods and maintenance strategies.
A relational database: the snow sweeper is used for storing information data and working road surface data of a snow sweeper fleet.
And the parameter management module is used for managing the snow removing vehicle parameters and the operation area parameters.
A trend analysis module: the method is used for analyzing the change trend of a certain trend parameter of the snow sweeper in a period of time so as to predict the health condition of the snow sweeper.
The diagnosis and prediction module is used for applying a diagnosis and prediction algorithm and deeply diagnosing and predicting faults of multiple parameters and multiple systems, and comprises the following steps:
gas path diagnosis and prediction: based on the acquired real-time data such as the engine speed, the exhaust temperature and the like, diagnosing and predicting the gas path performance degradation trend in a time series model mode;
and (3) diagnosis and prediction of lubricating oil: based on the obtained lubricating oil system data, diagnosis and prediction are carried out on the bearing system and the lubricating oil system of the snow sweeper;
and (3) vibration diagnosis and prediction: based on the obtained vibration data, adopting a plurality of vibration analysis methods to diagnose and predict the rotary part of the snow sweeper;
intelligent diagnosis and prediction: and diagnosing and predicting the snow sweeper by adopting a method based on an SVM (support vector machine).
The maintenance decision module is used for providing an optimal time window suggestion, a working hour required by prediction maintenance, a vehicle use suggestion and a spare part planning suggestion for the maintenance work of the snow sweeper truck fleet according to the health condition of the snow sweeper truck fleet; the method comprises the following steps:
receiving abnormal events predicted by the diagnosis of the snow sweeper;
event identification and matching are completed, and the events can be divided into fault events, performance events and life control events;
determining a failure mode and a maintenance method;
generating maintenance work;
performing strategy optimization on the maintenance activities;
and outputting a maintenance strategy optimization suggestion.
Spare part planning module: the method is used for enabling a spare part guarantee department to obtain enough advance time to purchase according to spare part requirements generated by the service life consumption condition of the parts and the fault processing result, so that the maintenance scale is reduced, the maintenance decision is optimized, and the spare part inventory cost is reduced.
A technical support module: the system is used for providing support of electronic technical documents for maintenance activities such as maintenance and troubleshooting.
A snow removal planning module: planning the operation area priority sequence, the operation route, the snow removing formation, the snow removing speed and the snow removing output of the snow removing vehicle by adopting a minimum operation time target optimization and a minimum economic cost optimization algorithm according to flight interval information, weather information and snow removing performance data of the snow removing vehicle which are obtained in real time; and issues real-time dynamic snow removal instructions to the moving end of the snow sweeper.
The video positioning module: the remote snow removal vehicle monitoring system is used for the remote center end to check the state and snow removal effect of each snow removal vehicle in real time, monitor the condition of the engine room, check the real-time position and track the historical track.
Example 5
The cloud platform 2 is a VPN cloud platform.
And the VPN cloud platform realizes networking of all mobile terminals and remote terminals of the snow sweeper fleet by the comprehensive health management and remote operation and maintenance service device.
The working principle of the utility model is as follows:
the utility model discloses a health management and 5G remote operation and maintenance system of a hot-blowing snow remover, which comprises a snow remover moving end health management device 1, a cloud platform 2 and a remote end comprehensive health management and remote operation and maintenance service device 3, wherein the cloud platform 2 is used for realizing networking of the snow remover moving end health management device 1 and the remote end comprehensive health management and remote operation and maintenance service device 3, solving the communication problem of the snow remover and a remote center and realizing comprehensive health management and remote operation and maintenance service of a mobile snow remover fleet by the remote end comprehensive health management and remote operation and maintenance service device 3.
The utility model can be divided into 3 major parts according to the entity, namely a snow remover moving end health management device, a cloud platform and a remote end comprehensive health management and remote operation and maintenance service device, and a single snow remover moving end health management device is provided at the snow remover moving end, so that the on-site state monitoring, fault diagnosis and health evaluation of a single snow remover are realized; the remote center remote command end provides a remote end comprehensive health management and remote operation and maintenance service device, so that remote real-time dynamic deep fault diagnosis and prediction, maintenance decision making and snow removal planning of a motorcade are realized; the snow removal vehicle moving end health management device and the remote end comprehensive health management and remote operation and maintenance service device use the 4G/5G communication unit, a wireless public network is utilized, a VPN cloud platform is accessed, wireless connection between a remote center and the snow removal vehicle is realized through the VNP cloud platform, networking communication between the snow removal vehicle moving end and the remote end is realized, moving end field data and remote end information instructions are uploaded and issued, safety, reliability, controllability and high efficiency of snow removal motorcade are guaranteed, snow removal operation is carried out economically, the road surface utilization rate is improved, loss is reduced, cost is reduced, and benefits are improved.
The VPN cloud platform network has the characteristics and advantages that the VPN cloud platform network is unattended, field management equipment is not needed, cloud remote management can be achieved, terminal equipment can be increased or decreased at any time under the condition that the network does not need to be changed, and the VPN cloud platform network has a remote operation and maintenance management function.
The utility model has reasonable design, one is that the fault diagnosis capability is strong, one remote end can simultaneously manage a plurality of snow remover moving ends, the integral layout and dispatching are convenient, the cost is greatly saved, the utility model can realize an active maintenance strategy, the fault is eliminated in advance, the repair time is short, and the maintenance cost is low. And secondly, snow removal operation planning is dynamically completed in real time, the snow removal operation target planning is automatically completed according to flight, weather and channel information real-time itching conditions by taking the minimum operation time or the minimum operation cost as a target.
The health management is a brand new solution for managing the health condition of complex system equipment, is different from the traditional passive after-the-fact maintenance strategy, is established on the basis of closed-loop management of data sensing, acquisition, transmission, analysis and fault disposal, monitors performance parameters in real time, predicts performance change trend and potential system or component faults, takes active measures in time to relieve performance attenuation and prevent system or component failure, and is an active and active state maintenance strategy. The method and the device can realize real-time, continuous and trackable monitoring and management of the state of the equipment, thereby improving the availability and efficiency of the equipment, reducing the maintenance labor and the guarantee cost, and leading the equipment to be capable of running reliably, safely and efficiently.
The hot blowing type snow remover is mobile operation equipment, is applied to removing ice and snow on large-area road surfaces (the snow removal of airfield runways is taken as an example) in winter, is converted into snow removing power by an retired aeroengine, realizes the ice and snow removal through discharged high-speed high-temperature fuel gas, is heavy high-value equipment, and has very high requirements on reliability, safety and economy. The remote command center of the snow sweeper needs to carry out real-time scheduling according to the health state, snow removing effect and meteorological information of a snow sweeper fleet, needs to master the information of real-time field condition, operation speed, endurance time, operation position and the like of each snow sweeper, realizes centralized, real-time and dynamic management of the fleet, adjusts formation at any time in operation, uniformly schedules and commands, and ensures that instructions are quickly and accurately downloaded. When abnormal conditions or faults occur in operation, the remote center can timely master the field conditions to avoid decision errors, and maintenance professionals can quickly and accurately judge the abnormal conditions and remove the faults so as to ensure the snow removing operation efficiency and reduce the road surface unavailability rate, thereby improving the economic benefit.
While the preferred embodiments of the present invention have been described in detail, the present invention is not limited to the above embodiments, and various changes can be made without departing from the spirit of the present invention within the knowledge of those skilled in the art.
Many other changes and modifications can be made without departing from the spirit and scope of the utility model. It is to be understood that the utility model is not to be limited to the specific embodiments, but only by the scope of the appended claims.