CN111798040A - Intelligent hybrid maintenance method, device and equipment for motor train unit and storage medium - Google Patents
Intelligent hybrid maintenance method, device and equipment for motor train unit and storage medium Download PDFInfo
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Abstract
The invention provides an intelligent hybrid maintenance method for a motor train unit, which is characterized in that the motor train unit is detected by a primary maintenance intelligent comprehensive detection system to obtain a first detection result; acquiring operation parameters of the motor train unit, and judging whether the operation parameters meet preset threshold values; if the motor train unit is in accordance with the first maintenance line, stopping the motor train unit at the first maintenance line, and detecting the bottom of the motor train unit through a first-stage comprehensive motor train unit bottom maintenance detection system; if the motor train unit does not meet the requirements, stopping the motor train unit at a second overhaul line, and detecting the bottom of the motor train unit; detecting the wheel set of the motor train unit; monitoring the detection process through a monitoring system; and judging whether the detection result meets a preset standard or not, and if so, sending the detection result to a database for storage. Through the scheme, the links of manual participation in the maintenance process of the motor train unit can be reduced, and the maintenance quality of the motor train unit is ensured. In addition, the embodiment of the invention provides an intelligent hybrid overhaul device, equipment and a storage medium for a motor train unit.
Description
Technical Field
The invention belongs to the field of motor train unit maintenance, and particularly relates to an intelligent hybrid maintenance method, device, equipment and storage medium for a motor train unit.
Background
According to the regulations for overhauling the motor train unit, the motor train unit carries out primary overhauling once every 48 hours of operation. The first-level maintenance operation is the maintenance operation of performing quick routine inspection, test and fault treatment on the roof, the underside, two sides of the train body, the inside of the train, the cab and other parts of the motor train unit.
At present, the wheel set and pantograph related data of all motor cars in the whole road are in a human-nuclear-human-repairing mode, the brake disc, the grinding rotor, the gear box and other car bottom parts are in a human-nuclear-human-repairing mode, and when the wheel axle flaw detection, wheel set turning and other operations are involved, the related data are manually input and then the corresponding operations are carried out. Therefore, in the whole primary overhauling process of the motor train unit, the links of manual participation occupy most processes.
Due to the differences of the quality of maintenance operators, the understanding of the maintenance requirements of the motor train unit and the like, in the links of manual participation, the same operation project may have different, and the description of the inspection results of the same project may have larger differences without a complete monitoring process. Therefore, an intelligent hybrid maintenance method for the motor train unit is urgently needed in the industry to solve the technical problems.
Disclosure of Invention
The invention aims to provide an intelligent hybrid maintenance method for a motor train unit, which judges that the motor train unit stops at different maintenance lines by acquiring the operating parameters of the motor train unit, carries out different maintenance processes on the motor train unit, and monitors the state of maintenance personnel in real time.
In order to solve the above technical problems, the present invention provides the following technical solutions, including:
detecting the motor train unit through a primary maintenance intelligent comprehensive detection system to obtain a first detection result;
acquiring operation parameters of the motor train unit, and judging whether the operation parameters meet preset threshold values;
if the first detection result and the second detection result are verified, stopping the motor train unit at the first overhaul line, detecting the bottom of the motor train unit through a primary overhaul bottom comprehensive detection system to obtain a second detection result;
if the motor train unit does not meet the requirements, stopping the motor train unit on a second overhaul line, detecting the bottom of the motor train unit to obtain a third detection result, and verifying the first detection result and the third detection result;
detecting the motor train unit wheel pair to obtain a fourth detection result, and performing turning and flaw detection operation on the motor train unit wheel pair according to the fourth detection result;
monitoring the motor train unit train bottom detection and the motor train unit wheel set turning and flaw detection operation process through a monitoring system so as to ensure the working quality of maintainers;
and judging whether the first detection result, the second detection result and the third detection result meet the preset standard, if so, sending the first detection result, the second detection result and the third detection result to a database for storage, so that the running state of the motor train unit is predicted in advance according to historical data.
Preferably, the step of monitoring the motor train unit train bottom detection and the motor train unit wheel set turning and flaw detection operation process through a monitoring system comprises the following steps of: the monitoring system comprises a safety interlocking monitoring system and/or a video operation evaluation system and/or a device state PHM system; the safety interlocking monitoring system performs the action of disconnecting or closing the contact net isolating switch according to the received disconnection signal or connection signal so as to perform safety protection and monitoring on the maintainers; the video operation evaluation system carries out video monitoring on a motor train unit maintainer to obtain video image information; the equipment state PHM system monitors the state of the detected equipment and acquires the running state information of the equipment.
Preferably, the detecting the bottom of the motor train unit by the primary repairing bottom comprehensive detecting system to obtain a second detecting result, and the verifying step of the first detecting result and the second detecting result further comprises the following steps: and if the first detection result and/or the second detection result do not meet the preset standard, marking the motor train unit fault and sending secondary verification information.
Preferably, after the step of detecting the train bottom of the motor train unit to obtain a third detection result and verifying the first detection result and the third detection result, the method further comprises the following steps: if the first detection result and/or the third detection result do not meet the preset standard, marking the motor train unit fault and sending secondary verification information; and verifying whether the first detection result and the third detection result meet the preset standard or not, if not, confirming the fault of the motor train unit, and repairing the fault of the motor train unit.
Preferably, the step of sending the second verification information further comprises: and verifying the first detection result and the second detection result again through the primary vehicle repair bottom comprehensive detection system, and if the first detection result and the second detection result do not meet the preset standard, confirming the fault of the motor train unit and repairing the fault of the motor train unit.
Preferably, the operation parameters comprise the operation time of the motor train unit, the number of kilometers in operation and equipment state information.
Preferably, the step of detecting the motor train unit through the primary repair intelligent comprehensive detection system to obtain a first detection result comprises the following steps: carrying out pass-type detection on the motor train unit through the primary maintenance intelligent comprehensive detection system to obtain a first detection result and storing the first detection result in a database; correspondingly, whether the first detection result, the second detection result and the third detection result meet the preset standard or not is judged, if yes, the first detection result, the second detection result and the third detection result are sent to a database for storage, and therefore the step of predicting the running state of the motor train unit in advance according to historical data further comprises the following steps: carrying out pass-type detection on the motor train unit through the primary maintenance intelligent comprehensive detection system to obtain a fifth detection result and storing the fifth detection result in a database; the passing type detection object comprises a motor train unit train body, a motor train unit bogie, a motor train unit wheel pair, a pantograph and a motor train unit train bottom.
In addition, in order to achieve the above object, the present invention further provides an intelligent hybrid maintenance device for a motor train unit, comprising:
the first detection unit is used for detecting the train body of the motor train unit through the primary maintenance intelligent comprehensive detection system to obtain a first detection result;
the judging unit is used for acquiring the running parameters of the motor train unit and judging whether the running parameters meet preset thresholds or not;
the second detection unit is used for stopping the motor train unit at the first maintenance line if the first detection unit is in accordance with the first detection result, detecting the bottom of the motor train unit through the primary comprehensive detection system for repairing the bottom of the motor train unit to obtain a second detection result, and verifying the first detection result and the second detection result;
the third detection unit is used for stopping the motor train unit at a second overhaul line if the motor train unit does not meet the first overhaul line, detecting the bottom of the motor train unit to obtain a third detection result, and verifying the first detection result and the third detection result;
the wheel set detection unit is used for detecting the motor train unit wheel set to obtain a fourth detection result, and carrying out turning and flaw detection operation on the motor train unit wheel set according to the fourth detection result;
the monitoring unit is used for monitoring the motor train unit train bottom detection and the motor train unit wheel set turning and flaw detection operation process through a monitoring system so as to ensure the working quality of maintainers;
and the storage unit is used for judging whether the first detection result, the second detection result and the third detection result meet the preset standard or not, and if so, sending the first detection result, the second detection result and the third detection result to a database for storage so as to predict the running state of the motor train unit in advance according to historical data.
In addition, in order to achieve the above object, the present invention further provides an intelligent hybrid maintenance device for a motor train unit, wherein the data conversion device comprises: the intelligent hybrid maintenance system comprises a memory, a processor and a motor train unit intelligent hybrid maintenance program which is stored on the memory and can run on the processor, wherein the motor train unit intelligent hybrid maintenance program is configured to realize the steps of the motor train unit intelligent hybrid maintenance method.
In addition, in order to achieve the above object, the present invention further provides a storage medium, wherein the storage medium stores an intelligent hybrid overhaul program of the motor train unit, and the intelligent hybrid overhaul program of the motor train unit realizes the steps of the intelligent hybrid overhaul method of the motor train unit as described above when being executed by a processor.
The invention provides an intelligent hybrid maintenance method for a motor train unit, which comprises the following steps: detecting the motor train unit through a primary maintenance intelligent comprehensive detection system to obtain a first detection result; acquiring operation parameters of the motor train unit, and judging whether the operation parameters meet preset threshold values; if the first detection result and the second detection result are verified, stopping the motor train unit at the first overhaul line, detecting the bottom of the motor train unit through a primary overhaul bottom comprehensive detection system to obtain a second detection result; if the motor train unit does not meet the requirements, stopping the motor train unit on a second overhaul line, detecting the bottom of the motor train unit to obtain a third detection result, and verifying the first detection result and the third detection result; detecting the motor train unit wheel pair to obtain a fourth detection result, and performing turning and flaw detection operation on the motor train unit wheel pair according to the fourth detection result; monitoring the motor train unit train bottom detection and the motor train unit wheel set turning and flaw detection operation process through a monitoring system so as to ensure the working quality of maintainers; and judging whether the first detection result, the second detection result and the third detection result meet the preset standard, if so, sending the first detection result, the second detection result and the third detection result to a database for storage, so that the running state of the motor train unit is predicted in advance according to historical data. By the scheme, the links of manual participation in the maintenance process of the motor train unit can be reduced to the maximum extent, and the maintenance quality of the motor train unit is ensured.
Drawings
FIG. 1 is a flow chart of an intelligent hybrid maintenance method for a motor train unit according to an embodiment of the invention;
FIG. 2 is a schematic diagram of an intelligent hybrid maintenance device for a motor train unit according to an embodiment of the invention;
fig. 3 is a schematic structural diagram of a computer device according to an embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
The principles and spirit of the present invention will be described with reference to a number of exemplary embodiments. It is understood that these embodiments are given solely for the purpose of enabling those skilled in the art to better understand and to practice the invention, and are not intended to limit the scope of the invention in any way. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
Example one
Referring to fig. 1, a flow chart of an intelligent hybrid overhaul method for a motor train unit according to an embodiment of the invention specifically includes:
s110: detecting the motor train unit through a primary maintenance intelligent comprehensive detection system to obtain a first detection result;
s120: acquiring operation parameters of the motor train unit, and judging whether the operation parameters meet preset threshold values;
s130: if the first detection result is met, stopping the motor train unit at a first overhaul line, detecting the bottom of the motor train unit through a first-stage overhaul bottom comprehensive detection system to obtain a first detection result, and verifying the first detection result;
s140: if the motor train unit does not meet the requirements, stopping the motor train unit on a second overhaul line, detecting the bottom of the motor train unit to obtain a second detection result, and verifying the second detection result;
s150: detecting the motor train unit wheel pair to obtain a third detection result, and performing turning and flaw detection operation on the motor train unit wheel pair according to the third detection result;
s160: monitoring the motor train unit train bottom detection and the motor train unit wheel set turning and flaw detection operation process through a monitoring system so as to ensure the working quality of maintainers;
s170: and judging whether the first detection result, the second detection result and the third detection result meet the preset standard, if so, sending the first detection result, the second detection result and the third detection result to a database for storage, so that the running state of the motor train unit is predicted in advance according to historical data.
Step S110, detecting the motor train unit through a primary maintenance intelligent comprehensive detection system to obtain a first detection result;
in the embodiment of the invention, when the motor train unit is put in storage, the motor train unit passes through a primary repair intelligent comprehensive detection system arranged on an entering line, and the primary repair intelligent comprehensive detection system can carry out storage detection on the motor train unit body, and specifically comprises wheel set outline dimension detection, wheel set tread contact type abrasion detection, spoke rim flaw detection, pantograph detection (including carbon slide plate abrasion, pantograph network pressure, pantograph appearance state and the like), full-vehicle outer surface image detection vehicle bottom, vehicle side and vehicle top, wheel tread image detection, brake disc brake pad detection, fan abnormal sound detection and the like. Through the combined action of all the functional modules, the online passing detection of parts such as a first-level train repairing body of the motor train unit, a bogie and the like is realized, and a first detection result is obtained. The system can upload the first detection result data to the database, give detection data early warning before the motor train unit enters the overhaul warehouse, and prompt data rechecking and processing.
Step S120, obtaining operation parameters of the motor train unit, and judging whether the operation parameters meet preset threshold values;
in the embodiment of the invention, firstly, the operation parameters of the motor train unit are obtained, wherein the operation parameters comprise the operation time, the operation mileage and the like of the motor train unit. Secondly, according to the operation parameters of the motor train unit, a maintenance plan maker formulates a maintenance plan of the motor train unit, wherein the maintenance plan is to judge whether the operation parameters meet preset threshold values or not and implement different maintenance plans for the motor train units in different states. The specific parameters may be runtime, running kilometers, equipment running status information, and the like, or a combination thereof. Illustratively, the runtime is taken as an example for illustration. And if the obtained running time of the motor train unit reaches 48 hours, the threshold value of machine maintenance for 48 hours is reached, the motor train unit is stopped at the first maintenance line, and if the running time of the motor train unit reaches 72 hours, the motor train unit does not accord with the preset threshold value, the motor train unit is stopped at the second maintenance line. By the mode, on the basis of ensuring 48 hours, the man inspection period is prolonged, and on the basis of ensuring the overhauling quality of the motor train unit, the labor intensity of personnel is reduced, and the labor efficiency is improved.
It should be noted that the maintenance plan can also be automatically proposed by the primary intelligent comprehensive detection system. When the motor train unit enters or exits the garage, the motor train unit passes through the primary intelligent comprehensive detection system, the primary intelligent comprehensive detection system can keep the motor train unit data, namely the time point of the motor train unit to be started to operate is kept, and therefore when the motor train unit returns to the motor train unit after operation is finished and passes through the primary intelligent comprehensive detection system, whether the motor train unit operates for 48 hours can be judged by the system.
Step S130, if the first detection result is met, stopping the motor train unit at a first overhaul line, detecting the bottom of the motor train unit through a first-stage overhaul bottom comprehensive detection system to obtain a second detection result, and verifying the first detection result and the second detection result;
in the embodiment of the invention, if the running parameters of the motor train unit meet the preset threshold values, the motor train unit is stopped at the first overhaul line. It should be noted that the first overhaul line is an overhaul line with a primary overhaul bottom comprehensive detection system, when the motor train unit is parked on the overhaul line with the primary overhaul bottom comprehensive detection system after entering the overhaul warehouse, the primary overhaul bottom comprehensive detection system can be used for carrying out detailed detection on the bottom of the motor train unit to obtain a second detection result, and meanwhile, partial data submitted by the primary overhaul intelligent comprehensive detection system on the entering line is rechecked and verified, namely, the first detection result and the second detection result are verified. The first-level comprehensive detection system for repairing the train bottom is an independent device installed in a repairing trench, automatically runs along the direction of the trench, rapidly scans the train bottom of the motor train unit, and uses scanned data as recheck and confirmation of equipment entering a section line. After the rapid scanning is finished, the equipment can identify the train according to the scanning result, after the vehicle type is confirmed, the equipment can be positioned according to vehicle type parameters and can shoot key parts at the bottom of the train at multiple angles, and meanwhile, the items to be measured are measured one by one. And the detection result is transmitted to the database in time.
Step S40, if the motor train unit is not met, stopping the motor train unit on a second overhaul line, detecting the bottom of the motor train unit to obtain a third detection result, and checking the first detection result and the third detection result;
in this embodiment, this step has mainly described the process of non-machine inspection, overhauls through the measurement personnel on the second maintenance line promptly, does not have the first order and repaiies vehicle bottom comprehensive testing system. This set of equipment is installed on first maintenance line, can't detect the EMUs that the second maintenance line was parked. After the motor train unit returns to the motor train station at night, primary repair operation is carried out within limited time, and the system cannot be detected by waiting for line switching; as the equipment is expensive and cannot be arranged in each overhaul trench, the motor train units needing to be overhauled cannot be completely parked on each overhaul line. And (4) after the maintainer detects the bottom of the motor train unit, obtaining a third detection result, and verifying the first detection result and the third detection result, namely verifying the detection obtained by the warehousing inspection of the primary inspection intelligent comprehensive detection system and the artificial inspection result in the second inspection line.
Step S50, detecting the motor train unit wheel pair to obtain a fourth detection result, and turning and detecting the motor train unit wheel pair according to the fourth detection result;
in the step, wheel sets of the motor train unit are mainly detected to obtain a fourth detection result, and turning and flaw detection operation is carried out on the wheel sets of the motor train unit according to the fourth detection result. It should be noted that the wheel turning and wheel spoke rim inspection operations belong to special repair operation items, and do not belong to a primary repair operation range, so that more wheel information detected in the step provides data reference for the special repair operation.
In addition, the effect of turning is explained here. In the process of train rerunning, the contact collision process of the wheel flange and the tread of the wheel and the steel rail can generate the conditions of peeling, scratching, deformation and the like, so that vibration and noise are generated in the process of running, passengers feel uncomfortable, even faults of the motor train unit are caused, and in order to solve the conditions, the turning and repairing operation needs to be carried out on the wheel which exceeds the standard position, so that the size is recovered. Here, the wheel is described with respect to a tread, a rim, and a rolling circle (reference circle), a molded line of the wheel is composed of the tread and the rim, and the tread of the wheel is a contact portion between the wheel and the rail, which is referred to as the tread for short. The convex part of the tread, which is contacted with the inner side of the steel rail, is called a wheel flange, the wheel flange has the function of preventing the wheel from derailing, and when the wheel passes through a curve, the wheel flange is contacted with the inner side of the outer rail to guide the vehicle to run on the curve. Regarding the rolling circle (reference circle), a plane parallel to the inner side surface of the wheel and spaced apart from the inner side surface by a fixed distance intersects the tread surface of the wheel to form a circle. The wheel diameter is taken to be the nominal value of the diameter at the rolling circle. The wheel set profile line in the wheel set section diagram is composed of an inner connection and an outer connection of curve segments with different radiuses. The intersection point of a reference circle and the section on the wheel set tread is a reference point A, a tangent line passing through the point A extends to the wheel rim, and the size of the tangent line and the top of the wheel rim is the height of the wheel rim; the tangent line is perpendicular to the top of the wheel rim and is led to the parallel line of the tangent line at certain interval, the intersecting point B of the parallel line and the wheel rim tread profile line, and the distance between the point B and the inner side of the wheel rim is the thickness of the wheel rim. During the running process of the motor train unit, the whole tread and the steel rail can be in contact with each other to different degrees, and especially when the motor train unit passes through a curve and a turnout, the tread and the wheel rim can be worn. In general, the degree of wear of the tread surface region between the point a and the point B is large, and when the reference circle is worn, the dimensions of the other regions are not guaranteed. Therefore, the overall dimension of the wheel set must be measured every day when the motor train unit returns to the motor train station after the operation of the motor train unit is finished. In order to ensure that the motor train unit does not have serious unstable operation, after the motor train unit of each type operates for a period of time, a special numerical control lathe is used for performing wheel tread turning operation on all wheel pairs of the motor train unit of the whole motor train unit. The special numerically controlled lathe here is a lathe without turning wheels. Turning itself means the process of machining the wheel set to a certain dimension during the rotation of the wheel.
S160, monitoring the motor train unit train bottom detection and the motor train unit wheel set turning and flaw detection operation process through a monitoring system so as to ensure the working quality of maintainers;
in the embodiment of the invention, the motor train unit underbody detection and the motor train unit wheel pair turning and flaw detection operation processes are monitored by the monitoring system, so that the working quality of maintainers is ensured.
Further, the monitoring system includes a safety interlock monitoring system and/or a video operation evaluation system and/or a device status PHM (predictive and Health Management) system, wherein the safety interlock monitoring system performs an operation of disconnecting or closing a disconnector of the catenary according to a received disconnection signal or connection signal, and the operation is mainly implemented by a technology of electric interlock and the like, wherein the disconnection signal or connection signal mentioned here is used for manually judging whether the site needs to be powered off or on, if so, the disconnection signal is transmitted to the safety interlock monitoring system, and if so, the connection signal is transmitted to the safety interlock monitoring system, and the safety protection and monitoring are performed on the overhead maintenance worker by the above method.
The video operation evaluation system carries out whole-course seamless monitoring on the inspection and preparation operation of the motor train unit in the overhaul warehouse and the tracing of the overhaul operation process of the motor train unit, realizes effective monitoring on the operation process of overhaul operators and evaluation and judgment on the overhaul quality, and achieves the purposes of strengthening operation standards, standardizing operation behaviors and ensuring the overhaul quality of the motor train unit.
The system can monitor the states of various maintenance and detection devices in the motor train unit application in real time, record and monitor the characteristic states of the existing devices in the using process, realize early warning of equipment faults, achieve the effect of preventing the equipment faults from happening in advance, reduce the influence of the equipment faults on the maintenance work of the motor train unit when the equipment faults stop.
In the existing motor car overhauling technology, a primary overhauling intelligent comprehensive detection system and a primary overhauling bottom comprehensive detection system are not configured, and a safety interlocking monitoring system and a video operation evaluation system are independent systems and cannot operate cooperatively. In the embodiment of the invention, the system is integrated together to operate cooperatively, so that the overhauling quality and efficiency of the motor train unit are improved.
S170, judging whether the first detection result, the second detection result and the third detection result meet preset standards, and if so, sending the first detection result, the second detection result and the third detection result to a database for storage so as to predict the running state of the motor train unit in advance according to historical data.
In the embodiment of the present invention, the step is to perform a determining and storing process on the detection result, determine whether the first detection result, the second detection result, and the third detection result meet a preset standard, and if so, send the result to a database for storage. The judgment is a manual rechecking process, namely, the data accuracy is further ensured by checking again through a maintainer under the condition of no problem. In addition, the data are stored, and the running state of the motor train unit can be predicted in advance according to historical data.
Further, the monitoring system comprises a safety interlocking monitoring system and/or a video operation evaluation system and/or a device state PHM system; the safety interlocking monitoring system performs the action of disconnecting or closing the contact net isolating switch according to the received disconnection signal or connection signal so as to perform safety protection and monitoring on the maintainers; the video operation evaluation system carries out video monitoring on a motor train unit maintainer to obtain video image information; the equipment state PHM system monitors the state of the detected equipment and acquires the running state information of the equipment.
In the embodiment of the present invention, the three monitoring systems are not specifically limited, and may be one of the systems, or may be a combination of multiple systems.
Further, if the first detection result and/or the second detection result do not meet the preset standard, marking the motor train unit fault and sending secondary verification information.
In the embodiment of the invention, when the first detection result and/or the second detection result are found not to meet the preset standard, namely one or both of the result data of the motor train unit detected by the primary repair intelligent comprehensive detection system and the data of the motor train unit bottom detected by the primary repair bottom comprehensive detection system have the condition of overrun data, the motor train unit fault is marked, the primary repair bottom comprehensive detection system submits a dispatching order to the database, and secondary verification information is sent, namely manual secondary recheck verification. When the detection result problem occurs, the maintainer is required to recheck the data, the accuracy of the data is fully ensured, and whether the fault occurs or not is confirmed.
Further, if the first detection result and/or the third detection result do not meet the preset standard, marking the motor train unit fault and sending secondary verification information; and verifying whether the first detection result and the third detection result meet the preset standard or not, if not, confirming the fault of the motor train unit, and repairing the fault of the motor train unit.
In the embodiment of the invention, if the first detection result and/or the third detection result do not meet the preset standard, the fault of the motor train unit is marked. And if one or both of the result data of the motor train unit detected by the primary maintenance intelligent comprehensive detection system and the data detected by the maintainers on the second maintenance line have overrun data, marking the motor train unit fault and sending secondary check information, namely manual secondary recheck verification. In this step, when a problem of the detection result occurs, a maintainer is required to recheck the data, so as to fully ensure the accuracy of the data and confirm whether a fault occurs.
And further, the first detection result and the second detection result are verified again through the primary repair bottom comprehensive detection system, if the first detection result and the second detection result do not meet the preset standard, the fault of the motor train unit is confirmed, and the fault repair is carried out on the motor train unit.
This step scheme has been elaborated in the above description, and is not described herein again.
Further, the operation parameters comprise the operation time of the motor train unit, the number of kilometers in operation and equipment state information.
This step scheme has been elaborated in the above description, and is not described herein again.
Further, carrying out pass-type detection on the motor train unit through the primary maintenance intelligent comprehensive detection system to obtain a first detection result and storing the first detection result in a database; correspondingly, whether the first detection result, the second detection result and the third detection result meet the preset standard or not is judged, if yes, the first detection result, the second detection result and the third detection result are sent to a database for storage, and therefore the step of predicting the running state of the motor train unit in advance according to historical data further comprises the following steps: carrying out pass-type detection on the motor train unit through the primary maintenance intelligent comprehensive detection system to obtain a fifth detection result and storing the fifth detection result in a database; the passing type detection object comprises a motor train unit train body, a motor train unit bogie, a motor train unit wheel pair, a pantograph and a motor train unit train bottom.
In the step, firstly, the motor train unit is subjected to pass-type detection through a primary maintenance intelligent comprehensive detection system, and a first detection result is obtained and stored in a database. The passing-type detection objects comprise a motor train unit train body, a motor train unit bogie, a motor train unit wheel pair, a pantograph, a motor train unit train bottom and the like. And after a series of detections, before the motor train unit is ready to be delivered out of the warehouse, the passing detection is carried out on the motor train unit through the primary-level intelligent comprehensive detection system again, and a fifth detection result is obtained and stored in the database. And checking whether each index of the motor train unit meets the requirement again by using pass-type detection.
In this case, the detection is the entry-stage throat detection, the detection coverage is full, and the coverage is multiple. The first-level repair vehicle bottom comprehensive detection system in the warehouse has the advantages that manual multi-angle checking is simulated, non-dynamic detection environment can be compensated, observation blind areas caused by shielding of equipment in the entering section can be compensated, and the first-level repair intelligent comprehensive detection system is complementary.
The invention provides an intelligent hybrid maintenance method for a motor train unit, which comprises the following steps: detecting the motor train unit through a primary maintenance intelligent comprehensive detection system to obtain a first detection result; acquiring operation parameters of the motor train unit, and judging whether the operation parameters meet preset threshold values; if the first detection result and the second detection result are verified, stopping the motor train unit at the first overhaul line, detecting the bottom of the motor train unit through a primary overhaul bottom comprehensive detection system to obtain a second detection result; if the motor train unit does not meet the requirements, stopping the motor train unit on a second overhaul line, detecting the bottom of the motor train unit to obtain a third detection result, and verifying the first detection result and the third detection result; detecting the motor train unit wheel pair to obtain a fourth detection result, and performing turning and flaw detection operation on the motor train unit wheel pair according to the fourth detection result; monitoring the motor train unit train bottom detection and the motor train unit wheel set turning and flaw detection operation process through a monitoring system so as to ensure the working quality of maintainers; and judging whether the first detection result, the second detection result and the third detection result meet the preset standard, if so, sending the first detection result, the second detection result and the third detection result to a database for storage, so that the running state of the motor train unit is predicted in advance according to historical data. By the scheme, the links of manual participation in the maintenance process of the motor train unit can be reduced to the maximum extent, the maintenance quality of the motor train unit is guaranteed, the maintenance cost of the motor train unit can be reduced, and the running state of a train can be effectively mastered.
Example two
Referring to fig. 2, a schematic diagram of an intelligent hybrid maintenance device for a motor train unit according to an embodiment of the invention specifically includes:
the first detection unit is used for detecting the train body of the motor train unit through the primary maintenance intelligent comprehensive detection system to obtain a first detection result;
the judging unit is used for acquiring the running parameters of the motor train unit and judging whether the running parameters meet preset thresholds or not;
the second detection unit is used for stopping the motor train unit at the first maintenance line if the first detection unit is in accordance with the first detection result, detecting the bottom of the motor train unit through the primary comprehensive detection system for repairing the bottom of the motor train unit to obtain a second detection result, and verifying the first detection result and the second detection result;
the third detection unit is used for stopping the motor train unit at a second overhaul line if the motor train unit does not meet the first overhaul line, detecting the bottom of the motor train unit to obtain a third detection result, and verifying the first detection result and the third detection result;
the wheel set detection unit is used for detecting the motor train unit wheel set to obtain a fourth detection result, and carrying out turning and flaw detection operation on the motor train unit wheel set according to the fourth detection result;
the monitoring unit is used for monitoring the motor train unit train bottom detection and the motor train unit wheel set turning and flaw detection operation process through a monitoring system so as to ensure the working quality of maintainers;
and the storage unit is used for judging whether the first detection result, the second detection result and the third detection result meet the preset standard or not, and if so, sending the first detection result, the second detection result and the third detection result to a database for storage so as to predict the running state of the motor train unit in advance according to historical data.
The invention provides an intelligent hybrid maintenance device for a motor train unit, which comprises: the first detection unit is used for detecting the train body of the motor train unit through the primary maintenance intelligent comprehensive detection system to obtain a first detection result; the judging unit is used for acquiring the running parameters of the motor train unit and judging whether the running parameters meet preset thresholds or not; the second detection unit is used for stopping the motor train unit at the first maintenance line if the first detection unit is in accordance with the first detection result, detecting the bottom of the motor train unit through the primary comprehensive detection system for repairing the bottom of the motor train unit to obtain a second detection result, and verifying the first detection result and the second detection result; the third detection unit is used for stopping the motor train unit at a second overhaul line if the motor train unit does not meet the first overhaul line, detecting the bottom of the motor train unit to obtain a third detection result, and verifying the first detection result and the third detection result; the wheel set detection unit is used for detecting the motor train unit wheel set to obtain a fourth detection result, and carrying out turning and flaw detection operation on the motor train unit wheel set according to the fourth detection result; the monitoring unit is used for monitoring the motor train unit train bottom detection and the motor train unit wheel set turning and flaw detection operation process through a monitoring system so as to ensure the working quality of maintainers; and the storage unit is used for judging whether the first detection result, the second detection result and the third detection result meet the preset standard or not, and if so, sending the first detection result, the second detection result and the third detection result to a database for storage so as to predict the running state of the motor train unit in advance according to historical data. By the scheme, the links of manual participation in the maintenance process of the motor train unit can be reduced to the maximum extent, the maintenance quality of the motor train unit is guaranteed, the maintenance cost of the motor train unit can be reduced, and the running state of a train can be effectively mastered.
EXAMPLE III
The present embodiment provides a computer device, including: a memory and a processor.
Wherein, the memory is used for storing programs;
the steps of the above intelligent hybrid maintenance method for the motor train unit can be realized when the processor is used for executing the program, and specific reference can be made to the description of the intelligent hybrid maintenance method for the motor train unit in the above embodiment, which is not described herein again.
Referring to fig. 3, a schematic structural diagram of a computer device provided in this embodiment may have a larger difference due to different configurations or performances, and may include one or more processors (CPUs) 322 (e.g., one or more processors) and a memory 332, and one or more storage media 330 (e.g., one or more mass storage devices) storing applications 342 or data 344. Memory 332 and storage media 330 may be, among other things, transient storage or persistent storage. The program stored on the storage medium 330 may include one or more modules (not shown), each of which may include a series of instructions operating on a data processing device. Still further, the central processor 322 may be configured to communicate with the storage medium 330 to execute a series of instruction operations in the storage medium 330 on the computer device 301.
The computer device 301 may also include one or more power supplies 326, one or more wired or wireless network interfaces 350, one or more input-output interfaces 358, and/or one or more operating systems 341, such as Windows ServerTM, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM, and so forth.
The steps in the intelligent hybrid overhaul method for the motor train unit described in fig. 1 above can be realized by the structure of the computer device in the embodiment.
Example four
The embodiment discloses a readable storage medium, on which a program is stored, and the program, when executed by a processor, implements the steps of the intelligent hybrid maintenance method for a motor train unit, which can be referred to in the above embodiments for the intelligent hybrid maintenance method for a motor train unit.
The readable storage medium may be a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and various other readable storage media capable of storing program codes.
The embodiments are described in a progressive manner in the specification, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The intelligent hybrid maintenance method, the intelligent hybrid maintenance device, the computer equipment and the readable storage medium for the motor train unit are described in detail above. The principles and embodiments of the present invention are explained herein using specific examples, which are presented only to assist in understanding the method and its core concepts. It should be noted that, for those skilled in the art, it is possible to make various improvements and modifications to the present invention without departing from the principle of the present invention, and those improvements and modifications also fall within the scope of the claims of the present invention.
Claims (10)
1. An intelligent hybrid maintenance method for a motor train unit is characterized by comprising the following steps:
detecting the motor train unit through a primary maintenance intelligent comprehensive detection system to obtain a first detection result;
acquiring operation parameters of the motor train unit, and judging whether the operation parameters meet preset threshold values;
if the first detection result and the second detection result are verified, stopping the motor train unit at the first overhaul line, detecting the bottom of the motor train unit through a primary overhaul bottom comprehensive detection system to obtain a second detection result;
if the motor train unit does not meet the requirements, stopping the motor train unit on a second overhaul line, detecting the bottom of the motor train unit to obtain a third detection result, and verifying the first detection result and the third detection result;
detecting the wheel set of the motor train unit to obtain a fourth detection result, and performing turning and flaw detection operation on the wheel set of the motor train unit according to the fourth detection result;
monitoring the motor train unit train bottom detection and the motor train unit wheel set turning and flaw detection operation process through a monitoring system so as to ensure the working quality of maintainers;
and judging whether the first detection result, the second detection result and the third detection result meet the preset standard, if so, sending the first detection result, the second detection result and the third detection result to a database for storage, so that the running state of the motor train unit is predicted in advance according to historical data.
2. The intelligent hybrid overhaul method for the motor train unit according to claim 1, wherein the step of monitoring the motor train unit underbody detection and the motor train unit wheel set turning and flaw detection operation process through a monitoring system comprises the steps of:
the monitoring system comprises a safety interlocking monitoring system and/or a video operation evaluation system and/or a device state PHM system;
the safety interlocking monitoring system is used for performing disconnection or connection of a contact net isolating switch according to the received disconnection signal or connection signal so as to perform safety protection and monitoring on the maintainers;
the video operation evaluation system carries out video monitoring on a motor train unit maintainer to obtain video image information;
the equipment state PHM system monitors the state of the detected equipment and acquires the running state information of the equipment.
3. The intelligent hybrid overhaul method of the motor train unit according to claim 1, wherein a second detection result is obtained by detecting the bottom of the motor train unit through a primary overhaul bottom comprehensive detection system, and the step of verifying the first detection result and the second detection result further comprises:
and if the first detection result and/or the second detection result do not meet the preset standard, marking the motor train unit fault and sending secondary verification information.
4. The intelligent hybrid overhaul method of the motor train unit according to claim 1, wherein the step of detecting the bottom of the motor train unit to obtain a third detection result and the step of verifying the first detection result and the third detection result further comprises the steps of:
if the first detection result and/or the third detection result do not meet the preset standard, marking the motor train unit fault and sending secondary verification information;
and verifying whether the first detection result and the third detection result meet the preset standard or not, if not, confirming the fault of the motor train unit, and repairing the fault of the motor train unit.
5. The intelligent hybrid overhaul method of the motor train unit according to claim 3, further comprising the step of sending the secondary verification information, and then:
and verifying the first detection result and the second detection result again through the primary vehicle repair bottom comprehensive detection system, and if the first detection result and the second detection result do not meet the preset standard, confirming the fault of the motor train unit and repairing the fault of the motor train unit.
6. The intelligent hybrid overhaul method of the motor train unit according to claim 1, characterized in that,
the operation parameters comprise the operation time of the motor train unit, the number of kilometers in operation and equipment state information.
7. The intelligent hybrid overhaul method of the motor train unit according to claim 1, characterized in that,
the method comprises the following steps of detecting the motor train unit through a primary repair intelligent comprehensive detection system, and obtaining a first detection result, wherein the steps comprise:
carrying out pass-type detection on the motor train unit through the primary maintenance intelligent comprehensive detection system to obtain a first detection result and storing the first detection result in a database;
correspondingly, whether the first detection result, the second detection result and the third detection result meet the preset standard or not is judged, if yes, the first detection result, the second detection result and the third detection result are sent to a database for storage, and therefore the step of predicting the running state of the motor train unit in advance according to historical data further comprises the following steps:
carrying out pass-type detection on the motor train unit through the primary maintenance intelligent comprehensive detection system to obtain a fifth detection result and storing the fifth detection result in a database;
the passing type detection object comprises a motor train unit train body, a motor train unit bogie, a motor train unit wheel pair, a pantograph and a motor train unit train bottom.
8. The utility model provides a EMUs intelligence hybrid overhaul device which characterized in that includes:
the first detection unit is used for detecting the train body of the motor train unit through the primary maintenance intelligent comprehensive detection system to obtain a first detection result;
the judging unit is used for acquiring the running parameters of the motor train unit and judging whether the running parameters meet preset thresholds or not;
the second detection unit is used for stopping the motor train unit at the first maintenance line if the first detection unit is in accordance with the first detection result, detecting the bottom of the motor train unit through the primary comprehensive detection system for repairing the bottom of the motor train unit to obtain a second detection result, and verifying the first detection result and the second detection result;
the third detection unit is used for stopping the motor train unit at a second overhaul line if the motor train unit does not meet the first overhaul line, detecting the bottom of the motor train unit to obtain a third detection result, and verifying the first detection result and the third detection result;
the wheel set detection unit is used for detecting the motor train unit wheel set to obtain a fourth detection result, and carrying out turning and flaw detection operation on the motor train unit wheel set according to the fourth detection result;
the monitoring unit is used for monitoring the motor train unit train bottom detection and the motor train unit wheel set turning and flaw detection operation process through a monitoring system so as to ensure the working quality of maintainers;
and the storage unit is used for judging whether the first detection result, the second detection result and the third detection result meet the preset standard or not, and if so, sending the first detection result, the second detection result and the third detection result to a database for storage so as to predict the running state of the motor train unit in advance according to historical data.
9. The utility model provides a EMUs intelligence hybrid overhaul equipment which characterized in that includes:
a memory for storing a computer program;
a processor for implementing the steps of the intelligent hybrid overhaul method of the motor train unit according to any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, wherein the computer-readable storage medium has a computer program stored thereon, and the computer program, when being executed by a processor, implements the steps of the intelligent hybrid maintenance method for multiple units according to any one of claims 1 to 7.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112249084A (en) * | 2020-10-29 | 2021-01-22 | 中铁第四勘察设计院集团有限公司 | Intelligent comprehensive detection system is repaiied to EMUs one-level |
| CN112765777A (en) * | 2020-12-29 | 2021-05-07 | 中车长春轨道客车股份有限公司 | Contour-based wheel set turning method and evaluation method for railway passenger car |
| CN112763240A (en) * | 2020-12-23 | 2021-05-07 | 成都运达科技股份有限公司 | Auxiliary detection system and method for vehicle servicing safety |
| CN113296466A (en) * | 2021-05-31 | 2021-08-24 | 北京铁道工程机电技术研究所股份有限公司 | Motor train unit and locomotive overhaul operation safety interlocking control system |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20050060257A (en) * | 2003-12-16 | 2005-06-22 | 한국철도기술연구원 | Operating system for railway maintenance |
| CN104281900A (en) * | 2013-07-03 | 2015-01-14 | 上海杰之能信息科技有限公司 | Method for optimizing bogie procedure in advanced repair of motor train unit and planning and scheduling method and system |
| CN109165745A (en) * | 2018-07-18 | 2019-01-08 | 中国铁道科学研究院集团有限公司电子计算技术研究所 | A kind of overhaul of train-set cost information automatic management method and system |
| CN109214554A (en) * | 2018-08-10 | 2019-01-15 | 中铁科学研究院有限公司 | A kind of railway vehicle wheel under non-pulling wheel operating condition repairs strategic decision-making algorithm to vehicle rotation |
| CN109242117A (en) * | 2018-09-21 | 2019-01-18 | 中铁第四勘察设计院集团有限公司 | A kind of stage division of administrative region of a city rolling stock Pyatyi maintenance |
| CN109506964A (en) * | 2019-01-03 | 2019-03-22 | 北京康拓红外技术股份有限公司 | A method of intelligent base inspection is repaired for EMU level-one |
| CN110733539A (en) * | 2019-10-14 | 2020-01-31 | 中铁第四勘察设计院集团有限公司 | Intelligent train inspection system and method for urban rail transit vehicle bases |
-
2020
- 2020-06-16 CN CN202010545307.5A patent/CN111798040B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20050060257A (en) * | 2003-12-16 | 2005-06-22 | 한국철도기술연구원 | Operating system for railway maintenance |
| CN104281900A (en) * | 2013-07-03 | 2015-01-14 | 上海杰之能信息科技有限公司 | Method for optimizing bogie procedure in advanced repair of motor train unit and planning and scheduling method and system |
| CN109165745A (en) * | 2018-07-18 | 2019-01-08 | 中国铁道科学研究院集团有限公司电子计算技术研究所 | A kind of overhaul of train-set cost information automatic management method and system |
| CN109214554A (en) * | 2018-08-10 | 2019-01-15 | 中铁科学研究院有限公司 | A kind of railway vehicle wheel under non-pulling wheel operating condition repairs strategic decision-making algorithm to vehicle rotation |
| CN109242117A (en) * | 2018-09-21 | 2019-01-18 | 中铁第四勘察设计院集团有限公司 | A kind of stage division of administrative region of a city rolling stock Pyatyi maintenance |
| CN109506964A (en) * | 2019-01-03 | 2019-03-22 | 北京康拓红外技术股份有限公司 | A method of intelligent base inspection is repaired for EMU level-one |
| CN110733539A (en) * | 2019-10-14 | 2020-01-31 | 中铁第四勘察设计院集团有限公司 | Intelligent train inspection system and method for urban rail transit vehicle bases |
Non-Patent Citations (1)
| Title |
|---|
| 郑青松: "高铁动车组一级修智能化综合检测系统实施方案探讨", 中国铁路, vol. 04, pages 19 - 20 * |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112249084A (en) * | 2020-10-29 | 2021-01-22 | 中铁第四勘察设计院集团有限公司 | Intelligent comprehensive detection system is repaiied to EMUs one-level |
| CN112249084B (en) * | 2020-10-29 | 2022-03-29 | 中铁第四勘察设计院集团有限公司 | Intelligent comprehensive detection system is repaiied to EMUs one-level |
| CN112763240A (en) * | 2020-12-23 | 2021-05-07 | 成都运达科技股份有限公司 | Auxiliary detection system and method for vehicle servicing safety |
| CN112765777A (en) * | 2020-12-29 | 2021-05-07 | 中车长春轨道客车股份有限公司 | Contour-based wheel set turning method and evaluation method for railway passenger car |
| CN112765777B (en) * | 2020-12-29 | 2022-12-23 | 中车长春轨道客车股份有限公司 | Contour-based wheel set turning method and evaluation method for railway passenger car |
| CN113296466A (en) * | 2021-05-31 | 2021-08-24 | 北京铁道工程机电技术研究所股份有限公司 | Motor train unit and locomotive overhaul operation safety interlocking control system |
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