WO2018098726A1 - 一种轨道交通数据监测方法及其设备 - Google Patents
一种轨道交通数据监测方法及其设备 Download PDFInfo
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- G01M17/00—Testing of vehicles
- G01M17/08—Railway vehicles
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- the invention relates to the technical field of vehicle networking, in particular to a method and a device for monitoring rail transit data.
- the state data during train operation such as train speed, acceleration and wheel tightness in rail transit is more sufficient to reflect whether the train is in normal operating state.
- train operation failure can be found by analyzing the state data generated during the recorded train operation.
- the fault data is found by analyzing the state data, and there is a certain delay in finding the train fault, so that it is impossible to promptly issue an alarm to the train running fault caused by the abnormal state data during the train running. To avoid accidents.
- the embodiment of the present invention provides a rail transit data monitoring method and a device thereof, which can analyze the state data during the running process of the rail train in real time, and issue an alarm prompt to the train running fault caused by the abnormal state data in time. Avoid accidents.
- an embodiment of the present invention provides a method for monitoring rail transit data, the method comprising:
- the state parameter is outputted and an alarm prompt is issued for the state parameter.
- an embodiment of the present invention further provides a rail transit data monitoring device, where the device includes:
- connection establishing unit for collecting state data according to the communication network and collecting rail transit state data
- the set end establishes a communication connection
- a parameter generating unit configured to receive, according to the communication connection, state data generated during a train running process sent by the state data collecting end, and perform analysis processing on the state data to generate a corresponding state parameter
- the alarm issuing unit is configured to send an alarm prompt for the status parameter while outputting the status parameter when the status parameter is greater than a preset maximum alarm threshold and the status parameter is less than a preset minimum alarm threshold.
- a communication connection is established by acquiring a state data collecting end of the rail transit state data according to the communication network; receiving state data generated during a train running process sent by the state data collecting end based on the communication connection, and performing state data
- the analysis process generates a corresponding state parameter.
- the state parameter is greater than the preset maximum alarm threshold and the state parameter is less than the preset minimum alarm threshold, the state parameter is outputted and an alarm prompt is issued for the state parameter.
- the state data during the running of the rail train can be analyzed in real time, and the state data is analyzed and processed to generate state parameters and the relationship between the state parameters and the parameter thresholds is compared to determine whether the train is In the event of an operational failure, an alarm can be issued in time for the train operation fault caused by the abnormal state data, thereby avoiding the occurrence of an accident.
- FIG. 1 is a schematic flow chart of a method for monitoring rail transit data according to an embodiment of the present invention
- FIG. 2 is a schematic flow chart of another method for monitoring rail transit data according to an embodiment of the present invention.
- FIG. 3 is a schematic structural diagram of a rail transit data monitoring device according to an embodiment of the present invention.
- FIG. 4 is a schematic structural diagram of another rail transit data monitoring device according to an embodiment of the present invention.
- FIG. 5 is a schematic structural diagram of a parameter generating unit according to an embodiment of the present invention.
- the rail transit data monitoring method provided by the embodiment of the present invention can be applied to the scenario of analyzing and processing state data during the operation of the rail transit and the fault alarm, for example, establishing communication by the state data collecting end of collecting the rail transit state data according to the communication network. Connecting, receiving, according to the communication connection, state data generated during the running of the train sent by the state data collecting end, and analyzing and processing the state data to generate a corresponding state parameter; when the state parameter is greater than a preset maximum When the alarm threshold and the state parameter are smaller than the preset minimum alarm threshold, the state parameter is outputted and an alarm prompt is issued for the state parameter.
- the state data during the running of the rail train can be analyzed in real time, and the state data is analyzed and processed to generate state parameters and the relationship between the state parameters and the parameter thresholds is compared to determine whether the train is In the event of an operational failure, an alarm can be issued in time for the train operation fault caused by the abnormal state data, thereby avoiding the occurrence of an accident.
- the rail transit data monitoring device involved in the embodiment of the present invention can receive state data sent by the state data collecting end, analyze and process the state data, and compare the state parameter obtained after the analysis and processing with a parameter threshold, and an abnormality occurs. An alert is issued when the status parameter is set.
- the state data collecting end involved in the embodiment of the present invention may be a sensor having a communication function, a data collecting system, a data collecting device, and the like for collecting the state data.
- FIG. 1 is a schematic flow chart of a method for monitoring rail transit data according to an embodiment of the present invention. As shown in FIG. 1, the method described in the embodiment of the present invention may include the following steps S101 to S103.
- the rail transit data monitoring device may establish a communication connection with the state data collecting end of the collected rail transit state data according to the communication network.
- the communication network may be a local area network, a metropolitan area network, or a wide area network.
- the status data collection end may be a communication function sensor, a data collection system, a data collection device, or the like that collects the status data.
- S102 Receive status data generated during a train operation process sent by the status data collection end according to the communication connection, and perform analysis processing on the status data to generate a corresponding status parameter.
- the rail transit data monitoring device may receive, according to the communication connection, state data generated during a train operation process sent by the state data collection end, and receive the After the status data, the rail transit data monitoring device may analyze and process the status data and generate corresponding status parameters.
- the status data may include real-time speed, acceleration, wheel tightness, and the like that can represent the running condition of the train during train operation.
- the rail transit data monitoring device may analyze and process the state data by using a divide and conquer algorithm to generate corresponding state parameters.
- the process of analyzing and processing by using the divide-and-conquer algorithm is: first, the state data is decomposed into a small set of state data, and then the state data in each small set is subjected to a median operation, and finally in each small set. The median values obtained from the state data are combined into a median set, and the median set is averaged to the state parameter.
- an alarm prompt can be issued for the status parameter.
- the output of the status data by the rail transit data monitoring device can be displayed on the user interface in a graphical, text, voice broadcast, or the like manner.
- the maximum alarm threshold may be a threshold that the state parameter cannot exceed, and when the state parameter is greater than or equal to the maximum alarm threshold, it indicates that a fault occurs in the train running process.
- the maximum warning threshold of the train acceleration phase is the maximum acceleration of 2m/s 2
- the train may have operational failure problems when the state parameter obtained by the rail transit data monitoring equipment is greater than or equal to 2m/s 2 .
- the minimum alarm threshold may be a threshold that the state parameter cannot be minimized.
- the state parameter is less than or equal to the maximum alarm threshold, it indicates that a fault occurs in the train running process, for example, the minimum speed of the normal running phase of the train.
- the train may have operational failure problems when the state parameter obtained by the rail transit data monitoring equipment is less than or equal to 150m/s.
- the status data sent by the status data collection end may carry information such as time, location, data category, and the like when the status data is collected.
- the alarm prompt may include at least a location prompt, a time prompt, and a category prompt of the abnormality of the status data.
- the rail transit data monitoring device can issue an alert prompt by using other alarm modes such as an alarm bell or a warning light.
- a communication connection is established by acquiring a state data collecting end of the rail transit state data according to the communication network; receiving state data generated during a train running process sent by the state data collecting end based on the communication connection, and performing state data
- the analysis process generates a corresponding state parameter.
- the state parameter is greater than the preset maximum alarm threshold and the state parameter is less than the preset minimum alarm threshold, the state parameter is outputted and an alarm prompt is issued for the state parameter.
- the state data during the running of the rail train can be analyzed in real time, and the state data is analyzed and processed to generate state parameters and the relationship between the state parameters and the parameter thresholds is compared to determine whether the train is In the event of an operational failure, an alarm can be issued in time for the train operation fault caused by the abnormal state data, thereby avoiding the occurrence of an accident.
- FIG. 2 is a schematic flowchart diagram of another method for monitoring rail transit data according to an embodiment of the present invention. As shown in FIG. 2, the method in the embodiment of the present invention may include the following steps S201 to S206.
- the rail transit data monitoring device may establish a communication connection with the state data collecting end of the collected rail transit state data according to the communication network.
- the communication network may be a local area network, a metropolitan area network, or a wide area network.
- the status data collection end may be a communication function sensor, a data collection system, a data collection device, or the like that collects the status data.
- S202 Receive, according to the communication connection, the running of the train sent by the state data collecting end. Generated substate data.
- the rail transit data monitoring device may receive, according to the communication connection, a sub-state generated during a train running process sent by the state data collecting end. data.
- sub-state data may be status data collected by each of the at least two state data collection ends.
- the status data may include real-time speed, acceleration, wheel tightness, and the like that can represent the running condition of the train during train operation.
- S203 Perform classification processing on the sub-state data collected by each state data collection end of the at least two state data collection ends to generate at least one sub-state data set.
- the rail transit data monitoring device may perform classification processing on the same type of sub-state data collected by each state data collecting end to generate at least one sub-state data set. .
- the rail transit data monitoring device may classify the sub-state data into a sub-state data set by using a clustering algorithm or other data classification algorithm.
- S204 Pre-process each seed state data set in the at least one sub-state data set to generate corresponding state data by using a preset data processing method, and perform analysis processing on the state data to generate a corresponding state parameter.
- the rail transit data monitoring device may preprocess each seed state data set in the at least one sub-state data set to generate corresponding state data by using a preset data processing method, and analyze and process the state data. Generate corresponding state parameters.
- the rail transit data monitoring device may analyze and process the sub-state data set by using a divide and conquer algorithm twice to generate a corresponding state parameter.
- the specific implementation process may be: applying a divide and conquer algorithm to each sub-state data set, decomposing the sub-state data in the sub-state data set into a small set of sub-state data, and performing sub-status data in each small set.
- the value operation combines the calculated median values into a median set, and then averages the median set to obtain sub-state data representing the sub-state data set; and then applies a divide-and-conquer algorithm to the sub-state data representing the sub-state data set.
- the state parameter obtained by analyzing and processing the sub-state data by using the divide and conquer algorithm twice is more accurate, and the alarm prompt generated due to the inaccurate analysis may be effectively reduced. occur.
- S205 When the state parameter is greater than a preset maximum alarm threshold and the state parameter is less than a preset minimum alarm threshold, outputting the state parameter and issuing an alarm prompt for the state parameter.
- the rail transit data monitoring device may output the state parameter simultaneously
- the status parameter sends an alert.
- the maximum alarm threshold may be a threshold that the state parameter cannot exceed, and when the state parameter is greater than or equal to the maximum alarm threshold, it indicates that a fault occurs in the train running process.
- the maximum warning threshold of the train acceleration phase is the maximum acceleration of 2m/s 2
- the train may have operational failure problems when the state parameter obtained by the rail transit data monitoring equipment is greater than or equal to 2m/s 2 .
- the minimum alarm threshold may be a threshold that the state parameter cannot be minimized.
- the state parameter is less than or equal to the maximum alarm threshold, it indicates that a fault occurs in the train running process, for example, the minimum speed of the normal running phase of the train.
- the train may have operational failure problems when the state parameter obtained by the rail transit data monitoring equipment is less than or equal to 150m/s.
- the status data sent by the status data collection end may carry information such as time, location, data category, and the like when the status data is collected.
- the alarm prompt may include at least a location prompt, a time prompt, and a category prompt of the abnormality of the status data.
- the rail transit data monitoring device can issue an alert prompt by using other alarm modes such as an alarm bell or a warning light.
- the representative train when the state parameter is less than a preset maximum parameter threshold and the state parameter is greater than a preset minimum parameter threshold, the representative train is operating normally, and the rail transit data monitoring device may output the state parameter. .
- the output of the status parameter by the rail transit data monitoring device can be Graphics, text, voice broadcasts, etc. are displayed on the user interface.
- a communication connection is established by acquiring a state data collecting end of the rail transit state data according to the communication network; receiving state data generated during a train running process sent by the state data collecting end based on the communication connection, and performing state data
- the analysis process generates a corresponding state parameter.
- the state parameter is greater than the preset maximum alarm threshold and the state parameter is less than the preset minimum alarm threshold, the state parameter is outputted and an alarm prompt is issued for the state parameter.
- the state data during the running of the rail train can be analyzed in real time, and the state data is analyzed and processed to generate state parameters and the relationship between the state parameters and the parameter thresholds is compared to determine whether the train is In the event of an operational failure, an alarm can be issued in time for the train operation fault caused by the abnormal state data, thereby avoiding the occurrence of the accident; the state parameter obtained by analyzing and processing the state data by using the divide and conquer algorithm twice is more accurate. Effectively reduce false alarms due to inaccurate data analysis.
- the rail transit data monitoring device provided by the embodiment of the present invention will be described in detail below with reference to FIG. 3 to FIG. 5. It should be noted that the rail transit data monitoring device shown in FIG. 3 to FIG. 5 is used to perform the method of the embodiment shown in FIG. 1 and FIG. 2 of the present invention. For the convenience of description, only the implementation of the present invention is shown. For the relevant parts of the examples, the specific technical details are not disclosed, please refer to the embodiment shown in FIG. 1 and FIG. 2 of the present invention.
- FIG. 3 is a schematic structural diagram of a rail transit data monitoring device according to an embodiment of the present invention.
- the rail transit data monitoring device 1 of the embodiment of the present invention may include: a connection establishing unit 11, a parameter generating unit 12, and an alarm issuing unit 13.
- connection establishing unit 11 is configured to establish a communication connection with the state data collecting end of the collected rail transit state data according to the communication network.
- connection establishing unit 11 may establish a communication connection with the state data collecting end of the collected rail transit state data according to the communication network.
- the communication network may be a local area network, a metropolitan area network, or a wide area network.
- the status data collection end may be a communication function sensor, a data collection system, a data collection device, or the like that collects the status data.
- a parameter generating unit 12 configured to receive, according to the communication connection, the status data collection end to send The state data generated during the running of the train, and the state data is analyzed and processed to generate corresponding state parameters.
- the rail transit data monitoring device 1 may generate the train running during the running of the state data collecting end according to the communication connection.
- the status data after receiving the status data, the parameter generating unit 12 may perform analysis processing on the status data and generate a corresponding status parameter.
- the status data may include real-time speed, acceleration, wheel tightness, and the like that can represent the running condition of the train during train operation.
- the parameter generating unit 12 may analyze and process the state data by using a divide and conquer algorithm to generate a corresponding state parameter.
- the process of analyzing and processing by using the divide-and-conquer algorithm is: first, the state data is decomposed into a small set of state data, and then the state data in each small set is subjected to a median operation, and finally in each small set. The median values obtained from the state data are combined into a median set, and the median set is averaged to the state parameter.
- the alarm issuing unit 13 is configured to: when the state parameter is greater than a preset maximum alarm threshold and the state parameter is less than a preset minimum alarm threshold, outputting the state parameter and issuing an alarm prompt for the state parameter .
- the alarm issuing unit 13 when the state parameter is greater than a preset maximum alarm threshold and the state parameter is less than a preset minimum alarm threshold, a fault occurs on behalf of the train operation, and the alarm issuing unit 13 performs the state parameter. At the same time as the output, an alarm prompt can be issued for the status parameter.
- the output of the status data by the alarm issuing unit 13 can be displayed on the user interface in a graphic, text, voice broadcast, or the like.
- the maximum alarm threshold may be a threshold that the state parameter cannot exceed, and when the state parameter is greater than or equal to the maximum alarm threshold, it indicates that a fault occurs in the train running process.
- the maximum warning threshold of the train acceleration phase is the maximum acceleration of 2m/s 2
- the train may have operational failure problems when the state parameter obtained by the rail transit data monitoring equipment is greater than or equal to 2m/s 2 .
- the minimum alarm threshold may be a threshold that the state parameter cannot be minimized.
- the state parameter is less than or equal to the maximum alarm threshold, it indicates that a fault occurs in the train running process, for example, the minimum speed of the normal running phase of the train.
- the train may have operational failure problems when the state parameter obtained by the rail transit data monitoring equipment is less than or equal to 150m/s.
- the status data sent by the status data collection end may carry information such as time, location, data category, and the like when the status data is collected.
- the alarm prompt may include at least a location prompt, a time prompt, and a category prompt of the abnormality of the status data. It can be understood that the alarm issuing unit 13 can issue an alarm prompt by using other alarm modes such as an alarm bell or a warning light.
- a communication connection is established by acquiring a state data collecting end of the rail transit state data according to the communication network; receiving state data generated during a train running process sent by the state data collecting end based on the communication connection, and performing state data
- the analysis process generates a corresponding state parameter.
- the state parameter is greater than the preset maximum alarm threshold and the state parameter is less than the preset minimum alarm threshold, the state parameter is outputted and an alarm prompt is issued for the state parameter.
- the state data during the running of the rail train can be analyzed in real time, and the state data is analyzed and processed to generate state parameters and the relationship between the state parameters and the parameter thresholds is compared to determine whether the train is In the event of an operational failure, an alarm can be issued in time for the train operation fault caused by the abnormal state data, thereby avoiding the occurrence of an accident.
- FIG. 4 is a schematic structural diagram of another rail transit data monitoring device according to an embodiment of the present invention.
- the rail transit data monitoring device 1 of the embodiment of the present invention may include: a connection establishing unit 11, a parameter generating unit 12, an alarm issuing unit 13, and a parameter output unit 14.
- connection establishing unit 11 is configured to establish a communication connection with the state data collecting end of the collected rail transit state data according to the communication network.
- connection establishing unit 11 may establish a communication connection with the state data collecting end of the collected rail transit state data according to the communication network.
- the communication network may be a local area network, a metropolitan area network, or a wide area network.
- the status data collection end may be a communication function sensor, a data collection system, a data collection device, or the like that collects the status data.
- the parameter generating unit 12 is configured to receive state data generated during the running of the train sent by the state data collecting end based on the communication connection, and perform analysis processing on the state data to generate a corresponding state parameter.
- connection establishing unit 11 establishes a communication link in the state data collecting end.
- the rail transit data monitoring device 1 can receive the state data generated during the running of the train sent by the state data collecting end based on the communication connection, and after receiving the state data, the parameter generating unit 12 can The state data is analyzed and processed to generate corresponding state parameters.
- the status data may include real-time speed, acceleration, wheel tightness, and the like that can represent the running condition of the train during train operation.
- the parameter generation unit 12 may include:
- the data collection sub-unit 121 is configured to receive, according to the communication connection, sub-state data generated during a train operation process sent by the state data collection end.
- the data collecting subunit 121 may receive, according to the communication connection, a child generated during a train running process sent by the state data collecting end. Status data.
- sub-state data may be status data collected by each of the at least two state data collection ends.
- the set generation sub-unit 122 is configured to perform classification processing on the sub-state data collected by each of the at least two state data collection ends to generate at least one sub-state data set.
- the set generation sub-unit 122 may perform classification processing on the same type of sub-state data collected by each state data collection end to generate at least one sub-state data. set.
- the set generation sub-unit 122 may classify the sub-state data into a sub-state data set by using a clustering algorithm or other data classification algorithm.
- the parameter generation sub-unit 123 is configured to pre-process each seed state data set in the at least one sub-state data set to generate corresponding state data by using a preset data processing method, and perform analysis processing on the state data to generate a corresponding Status parameter.
- the parameter generating sub-unit 123 may preprocess each seed state data set in the at least one sub-state data set to generate corresponding state data by using a preset data processing method, and analyze the state data. Processing produces a corresponding state parameter.
- the parameter generation subunit 123 can use the divide and conquer algorithm twice to determine the number of substates.
- the analysis is processed according to the set to generate corresponding state parameters.
- the specific implementation process may be: applying a divide and conquer algorithm to each sub-state data set, decomposing the sub-state data in the sub-state data set into a small set of sub-state data, and performing sub-status data in each small set.
- the value operation combines the calculated median values into a median set, and then averages the median set to obtain sub-state data representing the sub-state data set; and then applies a divide-and-conquer algorithm to the sub-state data representing the sub-state data set.
- the state parameter obtained by analyzing and processing the sub-state data by using the divide and conquer algorithm twice is more accurate, and the alarm prompt generated due to the inaccurate analysis may be effectively reduced. occur.
- the alarm issuing unit 13 is configured to: when the state parameter is greater than a preset maximum alarm threshold and the state parameter is less than a preset minimum alarm threshold, outputting the state parameter and issuing an alarm prompt for the state parameter .
- the alarm issuing unit 13 when the state parameter is greater than a preset maximum alarm threshold and the state parameter is less than a preset minimum alarm threshold, a fault occurs on behalf of the train operation, and the alarm issuing unit 13 performs the state parameter. At the same time as the output, an alarm prompt can be issued for the status parameter.
- the maximum alarm threshold may be a threshold that the state parameter cannot exceed, and when the state parameter is greater than or equal to the maximum alarm threshold, it indicates that a fault occurs in the train running process.
- the maximum warning threshold of the train acceleration phase is the maximum acceleration of 2m/s 2
- the train may have operational failure problems when the state parameter obtained by the rail transit data monitoring equipment is greater than or equal to 2m/s 2 .
- the minimum alarm threshold may be a threshold that the state parameter cannot be minimized.
- the state parameter is less than or equal to the maximum alarm threshold, it indicates that a fault occurs in the train running process, for example, the minimum speed of the normal running phase of the train.
- the train may have operational failure problems when the state parameter obtained by the rail transit data monitoring equipment is less than or equal to 150m/s.
- the status data sent by the status data collection end may carry information such as time, location, data category, and the like when the status data is collected.
- the alarm prompt may include at least a location prompt, a time prompt, and a category prompt of the abnormality of the status data. It can be understood that the report The alarm issuing unit 13 can issue an alarm prompt by using other alarm modes such as an alarm bell and a warning light.
- the parameter output unit 14 is configured to output the state parameter when the state parameter is less than a preset maximum parameter threshold and the state parameter is greater than a preset minimum parameter threshold.
- the parameter output unit 14 may output the state parameter.
- the output of the parameter output by the parameter output unit 14 can be displayed on the user interface in a graphical, text, voice broadcast, or the like manner.
- a communication connection is established by acquiring a state data collecting end of the rail transit state data according to the communication network; receiving state data generated during a train running process sent by the state data collecting end based on the communication connection, and performing state data
- the analysis process generates a corresponding state parameter.
- the state parameter is greater than the preset maximum alarm threshold and the state parameter is less than the preset minimum alarm threshold, the state parameter is outputted and an alarm prompt is issued for the state parameter.
- the state data during the running of the rail train can be analyzed in real time, and the state data is analyzed and processed to generate state parameters and the relationship between the state parameters and the parameter thresholds is compared to determine whether the train is In the event of an operational failure, an alarm can be issued in time for the train operation fault caused by the abnormal state data, thereby avoiding the occurrence of the accident; the state parameter obtained by analyzing and processing the state data by using the divide and conquer algorithm twice is more accurate. Effectively reduce false alarms due to inaccurate data analysis.
- each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.
- the above integrated unit can be implemented in the form of hardware or in the form of a software functional unit.
- the integrated unit is implemented as a software functional unit and as a standalone product When sold or used, it can be stored on a computer readable storage medium. Based on such understanding, the technical solution of the present invention, which is essential or contributes to the prior art, or all or part of the technical solution, may be embodied in the form of a software product stored in a storage medium.
- the storage medium includes: a USB flash drive, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk, or an optical disk, and the like, which can store program codes. medium.
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Abstract
本发明实施例公开了一种轨道交通数据监测方法及其设备，所述轨道交通数据监测方法包括：根据通信网络与采集轨道交通状态数据的状态数据采集端建立通信连接；基于所述通信连接接收所述状态数据采集端发送的车辆运行过程中产生的状态数据，并对所述状态数据进行分析处理生成对应的状态参数；当所述状态参数大于预设的最大告警阈值和所述状态参数小于预设的最小告警阈值时，对所述状态参数进行输出的同时针对所述状态参数发出告警提示。采用本发明，可以实时的对轨道列车运行过程中的状态数据进行分析，并及时对异常状态数据引起的列车运行故障发出告警提示，避免事故的发生。
Description
本发明涉及车联网技术领域，尤其涉及一种轨道交通数据监测方法及其设备。
随着人们生活节奏的提高，地铁、轻轨、等轨道交通工具已经成为人们生活中重要的出行工具。轨道交通中的列车速度、加速度、车轮紧固度等列车运行过程中的状态数据更够体现列车是否处于正常的运行状态。现有技术中，当列车出现故障时通过对记录的列车运行过程中产生的状态数据的分析能够找出列车运行故障。然而在列车出现故障后再通过分析状态数据找出故障所在，对找出列车故障所在具有一定的延时性，从而不能及时的对列车运行过程中因异常状态数据引起的列车运行故障发出告警提示，避免事故的发生。
发明内容
有鉴于此，本发明实施例提供一种轨道交通数据监测方法及其设备，可以实时的对轨道列车运行过程中的状态数据进行分析，并及时对异常状态数据引起的列车运行故障发出告警提示，避免事故的发生。
为了解决上述技术问题，本发明实施例提供了一种轨道交通数据监测方法，所述方法包括：
根据通信网络与采集轨道交通状态数据的状态数据采集端建立通信连接；
基于所述通信连接接收所述状态数据采集端发送的列车运行过程中产生的状态数据，并对所述状态数据进行分析处理生成对应的状态参数；
当所述状态参数大于预设的最大告警阈值和所述状态参数小于预设的最小告警阈值时，对所述状态参数进行输出的同时针对所述状态参数发出告警提示。
相应地，本发明实施例还提供了一种轨道交通数据监测设备，所述设备包括：
连接建立单元，用于根据通信网络与采集轨道交通状态数据的状态数据采
集端建立通信连接；
参数生成单元，用于基于所述通信连接接收所述状态数据采集端发送的列车运行过程中产生的状态数据，并对所述状态数据进行分析处理生成对应的状态参数；
告警发出单元，用于当所述状态参数大于预设的最大告警阈值和所述状态参数小于预设的最小告警阈值时，对所述状态参数进行输出的同时针对所述状态参数发出告警提示。
在本发明实施例中，通过根据通信网络与采集轨道交通状态数据的状态数据采集端建立通信连接；基于通信连接接收状态数据采集端发送的列车运行过程中产生的状态数据，并对状态数据进行分析处理生成对应的状态参数；当状态参数大于预设的最大告警阈值和状态参数小于预设的最小告警阈值时，对状态参数进行输出的同时针对状态参数发出告警提示。通过实时获取列车运行过程产生的状态数据，可以实时的对轨道列车运行过程中的状态数据进行分析，通过对状态数据进行分析处理生成状态参数并比较状态参数和参数阈值之间的关系判断列车是否出现运行故障，可以及时的对异常状态数据引起的列车运行故障发出告警提示，进而避免了事故的发生。
为了更清楚地说明本发明实施例或现有技术中的技术方案，下面将对实施例或现有技术描述中需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本发明的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。
图1是本发明实施例提供的一种轨道交通数据监测方法的流程示意图；
图2是本发明实施例提供的另一种轨道交通数据监测方法的流程示意图；
图3是本发明实施例提供的一种轨道交通数据监测设备的结构示意图；
图4是本发明实施例提供的另一种轨道交通数据监测设备的结构示意图；
图5是本发明实施例提供的参数生成单元的结构示意图。
下面将结合本发明实施例中的附图，对本发明实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅是本发明一部分实施例，而不是全部的实施例。基于本发明中的实施例，本领域普通技术人员在没有做出创造性劳动的前提下所获得的所有其他实施例，都属于本发明保护的范围。
本发明实施例提供的轨道交通数据监测方法可以应用在轨道交通运行过程中状态数据的分析处理及故障告警的场景中，例如：通过根据通信网络与采集轨道交通状态数据的状态数据采集端建立通信连接；基于所述通信连接接收所述状态数据采集端发送的列车运行过程中产生的状态数据，并对所述状态数据进行分析处理生成对应的状态参数；当所述状态参数大于预设的最大告警阈值和所述状态参数小于预设的最小告警阈值时，对所述状态参数进行输出的同时针对所述状态参数发出告警提示。通过实时获取列车运行过程产生的状态数据，可以实时的对轨道列车运行过程中的状态数据进行分析，通过对状态数据进行分析处理生成状态参数并比较状态参数和参数阈值之间的关系判断列车是否出现运行故障，可以及时的对异常状态数据引起的列车运行故障发出告警提示，进而避免了事故的发生。
本发明实施例中的涉及的轨道交通数据监测设备可以接受状态数据采集端发送的状态数据，对所述状态数据进行分析处理并将分析处理后得到的状态参数与参数阈值进行对比，在出现异常状态参数时发出告警提示。本发明实施例中的涉及的状态数据采集端可以是采集所述状态数据的具有通信功能的传感器、数据采集系统、数据采集设备等。
下面将结合附图1和附图2，对本发明实施例提供的轨道交通数据监测方法进行详细介绍。
图1是本发明实施例提供的一种轨道交通数据监测方法的流程示意图。如图1所示，本发明实施例中所述的方法可以包括以下步骤S101-步骤S103。
S101，根据通信网络与采集轨道交通状态数据的状态数据采集端建立通信连接。
具体的，所述轨道交通数据监测设备可以根据通信网络与采集轨道交通状态数据的状态数据采集端建立通信连接。
可以理解的是，所述通信网络可以是局域网、城域网或广域网，所述状态数据采集端可以是采集所述状态数据的具有通信功能的传感器、数据采集系统、数据采集设备等。
S102，基于所述通信连接接收所述状态数据采集端发送的列车运行过程中产生的状态数据，并对所述状态数据进行分析处理生成对应的状态参数。
具体的，所述轨道交通数据监测设备在于所述状态数据采集端建立通信连接后，可以基于所述通信连接接收所述状态数据采集端发送的列车运行过程中产生的状态数据，在接收所述状态数据后，所述轨道交通数据监测设备可以对所述状态数据进行分析处理并生成对应的状态参数。
可以理解的是，所述状态数据可以包括列车运行过程中的实时速度、加速度、车轮紧固度等可以代表列车运行状况的数据。
优选的，所述轨道交通数据监测设备可以采用分治算法对所述状态数据进行分析处理，生成对应的状态参数。具体的，采用分治算法进行分析处理的过程是：首先将所述状态数据分解若干状态数据的小集合，接着对各个小集合中的状态数据进行求中值运算，最后将各个小集合中的状态数据求得的中值合并为中值集合，再对所述中值集合求均值等到状态参数。
S103，当所述状态参数大于预设的最大告警阈值和所述状态参数小于预设的最小告警阈值时，对所述状态参数进行输出的同时针对所述状态参数发出告警提示。
具体的，当所述状态参数大于预设的最大告警阈值和所述状态参数小于预设的最小告警阈值时，代表列车运行出现了故障，所述轨道交通数据监测设备在对所述状态参数进行输出的同时，可以针对所述状态参数发出告警提示。
可以理解的是，所述轨道交通数据监测设备对所述状态数据的输出可以以图形、文字、语音播报等方式在用户界面进行展示。
可选的，所述最大告警阈值可以为所述状态参数最大不能超过的阈值，当所述状态参数大于或等于所述最大告警阈值时，代表着列车运行过程出现了故障。例如：列车加速阶段的最大告警阈值为加速度最大为2m/s2，经所述轨道交通数据监测设备分析处理后得到的状态参数为大于或等于2m/s2时，列车可能出现了运行故障问题。所述最小告警阈值可以为所述状态参数最小不能
小于的阈值，当所述状态参数小于或等于所述最大告警阈值时，代表着列车运行过程出现了故障，例如：列车正常运行阶段的最小速度为150m/s，经所述轨道交通数据监测设备分析处理后得到的状态参数为小于或等于150m/s时，列车可能出现了运行故障问题。
可以理解的是，所述状态数据采集端发送的所述状态数据可以携带采集所述状态数据时的时间，地点、数据类别等信息。进而所述告警提示，至少可以包括状态数据异常的位置提示、时间提示、类别提示。可以理解的是，所述轨道交通数据监测设备可以以警铃、警示灯等其他告警方式发出告警提示。
在本发明实施例中，通过根据通信网络与采集轨道交通状态数据的状态数据采集端建立通信连接；基于通信连接接收状态数据采集端发送的列车运行过程中产生的状态数据，并对状态数据进行分析处理生成对应的状态参数；当状态参数大于预设的最大告警阈值和状态参数小于预设的最小告警阈值时，对状态参数进行输出的同时针对状态参数发出告警提示。通过实时获取列车运行过程产生的状态数据，可以实时的对轨道列车运行过程中的状态数据进行分析，通过对状态数据进行分析处理生成状态参数并比较状态参数和参数阈值之间的关系判断列车是否出现运行故障，可以及时的对异常状态数据引起的列车运行故障发出告警提示，进而避免了事故的发生。
请参见图2，为本发明实施例提供了另一种轨道交通数据监测方法的流程示意图。如图2所示，本发明实施例的所述方法可以包括以下步骤S201-步骤S206。
S201，根据通信网络与采集轨道交通状态数据的状态数据采集端建立通信连接。
具体的，所述轨道交通数据监测设备可以根据通信网络与采集轨道交通状态数据的状态数据采集端建立通信连接。
可以理解的是，所述通信网络可以是局域网、城域网或广域网，所述状态数据采集端可以是采集所述状态数据的具有通信功能的传感器、数据采集系统、数据采集设备等。
S202，基于所述通信连接接收所述状态数据采集端发送的列车运行过程中
产生的子状态数据。
具体的，当所述状态数据采集端为至少两个状态数据采集端时，所述轨道交通数据监测设备可以基于所述通信连接接收所述状态数据采集端发送的列车运行过程中产生的子状态数据。
进一步的，所述子状态数据可以是至少两个状态数据采集端中的每个状态数据采集端所采集的状态数据。
可以理解的是，所述状态数据可以包括列车运行过程中的实时速度、加速度、车轮紧固度等可以代表列车运行状况的数据。
S203，对至少两个状态数据采集端中的每个状态数据采集端所采集的子状态数据进行分类处理生成至少一种子状态数据集合。
具体的，当所述状态数据采集端至少为两个时，所述轨道交通数据监测设备可以对每个状态数据采集端所采集的同类型的子状态数据进行分类处理生成至少一种子状态数据集合。
优选的，所述轨道交通数据监测设备可以采用聚类算法或其他数据分类算法对所述子状态数据进行分类生成子状态数据集合。
S204，采用预设的数据处理方法对至少一种子状态数据集合中的每种子状态数据集合进行预处理生成对应的状态数据，并对所述状态数据进行分析处理产生对应的状态参数。
具体的，所述轨道交通数据监测设备可以采用预设的数据处理方法对至少一种子状态数据集合中的每种子状态数据集合进行预处理生成对应的状态数据，并对所述状态数据进行分析处理产生对应的状态参数。
优选的，所述轨道交通数据监测设备可以两次采用分治算法对所述子状态数据集合进行分析处理，生成对应的状态参数。具体实现过程可以是：对每一个子状态数据集合运用分治算法，将所述子状态数据集合中的子状态数据分解若子状态数据的小集合，对各个小集合中的子状态数据进行求中值运算并将运算得到的中值合并为中值集合，再对所述中值集合求均值得到代表子状态数据集合的子状态数据；再对代表子状态数据集合的子状态数据运用分治算法，将所述子状态数据分解若干子状态数据的小集合，接着对各个小集合中的子状态数据进行求中值运算，最后将各个小集合中的子状态数据求得的中值合并为中
值集合，再对所述中值集合求均值等到状态参数。
在本发明实施例中，通过两次运用分治算法对所述子状态数据进行分析处理的过程得到的状态参数更加精确，可以有效的降低由于所述分析不准确产生的告警提示有误的情况发生。
S205，当所述状态参数大于预设的最大告警阈值和所述状态参数小于预设的最小告警阈值时，对所述状态参数进行输出的同时针对所述状态参数发出告警提示。
具体的，当所述状态参数大于预设的最大告警阈值和所述状态参数小于预设的最小告警阈值时，所述轨道交通数据监测设备在对所述状态参数进行输出的同时，可以针对所述状态参数发出告警提示。
可选的，所述最大告警阈值可以为所述状态参数最大不能超过的阈值，当所述状态参数大于或等于所述最大告警阈值时，代表着列车运行过程出现了故障。例如：列车加速阶段的最大告警阈值为加速度最大为2m/s2，经所述轨道交通数据监测设备分析处理后得到的状态参数为大于或等于2m/s2时，列车可能出现了运行故障问题。所述最小告警阈值可以为所述状态参数最小不能小于的阈值，当所述状态参数小于或等于所述最大告警阈值时，代表着列车运行过程出现了故障，例如：列车正常运行阶段的最小速度为150m/s，经所述轨道交通数据监测设备分析处理后得到的状态参数为小于或等于150m/s时，列车可能出现了运行故障问题。
可以理解的是，所述状态数据采集端发送的所述状态数据可以携带采集所述状态数据时的时间，地点、数据类别等信息。进而所述告警提示，至少可以包括状态数据异常的位置提示、时间提示、类别提示。可以理解的是，所述轨道交通数据监测设备可以以警铃、警示灯等其他告警方式发出告警提示。
S206，当所述状态参数小于预设的最大参数阈值和所述状态参数大于预设的最小参数阈值时，对所述状态参数进行输出。
具体的，当所述状态参数小于预设的最大参数阈值和所述状态参数大于预设的最小参数阈值时，代表列车正在正常运行，所述轨道交通数据监测设备可以对所述状态参数进行输出。
可以理解的是，所述轨道交通数据监测设备对所述状态参数的输出可以以
图形、文字、语音播报等方式在用户界面进行展示。
在本发明实施例中，通过根据通信网络与采集轨道交通状态数据的状态数据采集端建立通信连接；基于通信连接接收状态数据采集端发送的列车运行过程中产生的状态数据，并对状态数据进行分析处理生成对应的状态参数；当状态参数大于预设的最大告警阈值和状态参数小于预设的最小告警阈值时，对状态参数进行输出的同时针对状态参数发出告警提示。通过实时获取列车运行过程产生的状态数据，可以实时的对轨道列车运行过程中的状态数据进行分析，通过对状态数据进行分析处理生成状态参数并比较状态参数和参数阈值之间的关系判断列车是否出现运行故障，可以及时的对异常状态数据引起的列车运行故障发出告警提示，进而避免了事故的发生；通过两次运用分治算法对状态数据进行分析处理得到的状态参数精确行更高，可以有效降低由于数据分析不准确产生的误告警。
下面将结合附图3-附图5，对本发明实施例提供的轨道交通数据监测设备进行详细介绍。需要说明的是，附图3-附图5所示的轨道交通数据监测设备，用于执行本发明图1和图2所示实施例的方法，为了便于说明，仅示出了与本发明实施例相关的部分，具体技术细节未揭示的，请参照本发明图1和图2所示的实施例。
请参见图3，为本发明实施例提供了一种轨道交通数据监测设备的结构示意图。如图3所示，本发明实施例的所述轨道交通数据监测设备1可以包括：连接建立单元11、参数生成单元12和告警发出单元13。
连接建立单元11，用于根据通信网络与采集轨道交通状态数据的状态数据采集端建立通信连接。
具体实现中，所述连接建立单元11可以根据通信网络与采集轨道交通状态数据的状态数据采集端建立通信连接。
可以理解的是，所述通信网络可以是局域网、城域网或广域网，所述状态数据采集端可以是采集所述状态数据的具有通信功能的传感器、数据采集系统、数据采集设备等。
参数生成单元12，用于基于所述通信连接接收所述状态数据采集端发送
的列车运行过程中产生的状态数据，并对所述状态数据进行分析处理生成对应的状态参数。
具体实现中，所述连接建立单元11在于所述状态数据采集端建立通信连接后，所述轨道交通数据监测设备1可以基于所述通信连接接收所述状态数据采集端发送的列车运行过程中产生的状态数据，在接收所述状态数据后，所述参数生成单元12可以对所述状态数据进行分析处理并生成对应的状态参数。
可以理解的是，所述状态数据可以包括列车运行过程中的实时速度、加速度、车轮紧固度等可以代表列车运行状况的数据。
优选的，所述参数生成单元12可以采用分治算法对所述状态数据进行分析处理，生成对应的状态参数。具体的，采用分治算法进行分析处理的过程是：首先将所述状态数据分解若干状态数据的小集合，接着对各个小集合中的状态数据进行求中值运算，最后将各个小集合中的状态数据求得的中值合并为中值集合，再对所述中值集合求均值等到状态参数。
告警发出单元13，用于当所述状态参数大于预设的最大告警阈值和所述状态参数小于预设的最小告警阈值时，对所述状态参数进行输出的同时针对所述状态参数发出告警提示。
具体实现中，当所述状态参数大于预设的最大告警阈值和所述状态参数小于预设的最小告警阈值时，代表列车运行出现了故障，所述告警发出单元13在对所述状态参数进行输出的同时，可以针对所述状态参数发出告警提示。
可以理解的是，所述告警发出单元13对所述状态数据的输出可以以图形、文字、语音播报等方式在用户界面进行展示。
可选的，所述最大告警阈值可以为所述状态参数最大不能超过的阈值，当所述状态参数大于或等于所述最大告警阈值时，代表着列车运行过程出现了故障。例如：列车加速阶段的最大告警阈值为加速度最大为2m/s2，经所述轨道交通数据监测设备分析处理后得到的状态参数为大于或等于2m/s2时，列车可能出现了运行故障问题。所述最小告警阈值可以为所述状态参数最小不能小于的阈值，当所述状态参数小于或等于所述最大告警阈值时，代表着列车运行过程出现了故障，例如：列车正常运行阶段的最小速度为150m/s，经所述轨道交通数据监测设备分析处理后得到的状态参数为小于或等于150m/s
时，列车可能出现了运行故障问题。
可以理解的是，所述状态数据采集端发送的所述状态数据可以携带采集所述状态数据时的时间，地点、数据类别等信息。进而所述告警提示，至少可以包括状态数据异常的位置提示、时间提示、类别提示。可以理解的是，所述告警发出单元13可以以警铃、警示灯等其他告警方式发出告警提示。
在本发明实施例中，通过根据通信网络与采集轨道交通状态数据的状态数据采集端建立通信连接；基于通信连接接收状态数据采集端发送的列车运行过程中产生的状态数据，并对状态数据进行分析处理生成对应的状态参数；当状态参数大于预设的最大告警阈值和状态参数小于预设的最小告警阈值时，对状态参数进行输出的同时针对状态参数发出告警提示。通过实时获取列车运行过程产生的状态数据，可以实时的对轨道列车运行过程中的状态数据进行分析，通过对状态数据进行分析处理生成状态参数并比较状态参数和参数阈值之间的关系判断列车是否出现运行故障，可以及时的对异常状态数据引起的列车运行故障发出告警提示，进而避免了事故的发生。
请参见图4，为本发明实施例提供了另一种轨道交通数据监测设备的结构示意图。如图4所示，本发明实施例的所述轨道交通数据监测设备1可以包括：连接建立单元11、参数生成单元12、告警发出单元13和参数输出单元14。
连接建立单元11，用于根据通信网络与采集轨道交通状态数据的状态数据采集端建立通信连接。
具体实现中，所述连接建立单元11可以根据通信网络与采集轨道交通状态数据的状态数据采集端建立通信连接。
可以理解的是，所述通信网络可以是局域网、城域网或广域网，所述状态数据采集端可以是采集所述状态数据的具有通信功能的传感器、数据采集系统、数据采集设备等。
参数生成单元12，用于基于所述通信连接接收所述状态数据采集端发送的列车运行过程中产生的状态数据，并对所述状态数据进行分析处理生成对应的状态参数。
具体实现中，所述连接建立单元11在于所述状态数据采集端建立通信连
接后，所述轨道交通数据监测设备1可以基于所述通信连接接收所述状态数据采集端发送的列车运行过程中产生的状态数据，在接收所述状态数据后，所述参数生成单元12可以对所述状态数据进行分析处理并生成对应的状态参数。
可以理解的是，所述状态数据可以包括列车运行过程中的实时速度、加速度、车轮紧固度等可以代表列车运行状况的数据。
请一并参见图5，为本发明实施例提供了参数生成单元12的结构示意图。如图5所示，当所述状态数据采集端为至少两个状态数据采集端时，所述参数生成单元12可以包括：
数据采集子单元121，用于基于所述通信连接接收所述状态数据采集端发送的列车运行过程中产生的子状态数据。
具体实现中，当所述状态数据采集端为至少两个状态数据采集端时，所述数据采集子单元121可以基于所述通信连接接收所述状态数据采集端发送的列车运行过程中产生的子状态数据。
进一步的，所述子状态数据可以是至少两个状态数据采集端中的每个状态数据采集端所采集的状态数据。
集合生成子单元122，用于对至少两个状态数据采集端中的每个状态数据采集端所采集的子状态数据进行分类处理生成至少一种子状态数据集合。
具体实现中，当所述状态数据采集端至少为两个时，所述集合生成子单元122可以对每个状态数据采集端所采集的同类型的子状态数据进行分类处理生成至少一种子状态数据集合。
优选的，所述集合生成子单元122可以采用聚类算法或其他数据分类算法对所述子状态数据进行分类生成子状态数据集合。
参数生成子单元123，用于采用预设的数据处理方法对至少一种子状态数据集合中的每种子状态数据集合进行预处理生成对应的状态数据，并对所述状态数据进行分析处理产生对应的状态参数。
具体实现中，所述参数生成子单元123可以采用预设的数据处理方法对至少一种子状态数据集合中的每种子状态数据集合进行预处理生成对应的状态数据，并对所述状态数据进行分析处理产生对应的状态参数。
优选的，所述参数生成子单元123可以两次采用分治算法对所述子状态数
据集合进行分析处理，生成对应的状态参数。具体实现过程可以是：对每一个子状态数据集合运用分治算法，将所述子状态数据集合中的子状态数据分解若子状态数据的小集合，对各个小集合中的子状态数据进行求中值运算并将运算得到的中值合并为中值集合，再对所述中值集合求均值得到代表子状态数据集合的子状态数据；再对代表子状态数据集合的子状态数据运用分治算法，将所述子状态数据分解若干子状态数据的小集合，接着对各个小集合中的子状态数据进行求中值运算，最后将各个小集合中的子状态数据求得的中值合并为中值集合，再对所述中值集合求均值等到状态参数。
在本发明实施例中，通过两次运用分治算法对所述子状态数据进行分析处理的过程得到的状态参数更加精确，可以有效的降低由于所述分析不准确产生的告警提示有误的情况发生。
告警发出单元13，用于当所述状态参数大于预设的最大告警阈值和所述状态参数小于预设的最小告警阈值时，对所述状态参数进行输出的同时针对所述状态参数发出告警提示。
具体实现中，当所述状态参数大于预设的最大告警阈值和所述状态参数小于预设的最小告警阈值时，代表列车运行出现了故障，所述告警发出单元13在对所述状态参数进行输出的同时，可以针对所述状态参数发出告警提示。
可选的，所述最大告警阈值可以为所述状态参数最大不能超过的阈值，当所述状态参数大于或等于所述最大告警阈值时，代表着列车运行过程出现了故障。例如：列车加速阶段的最大告警阈值为加速度最大为2m/s2，经所述轨道交通数据监测设备分析处理后得到的状态参数为大于或等于2m/s2时，列车可能出现了运行故障问题。所述最小告警阈值可以为所述状态参数最小不能小于的阈值，当所述状态参数小于或等于所述最大告警阈值时，代表着列车运行过程出现了故障，例如：列车正常运行阶段的最小速度为150m/s，经所述轨道交通数据监测设备分析处理后得到的状态参数为小于或等于150m/s时，列车可能出现了运行故障问题。
可以理解的是，所述状态数据采集端发送的所述状态数据可以携带采集所述状态数据时的时间，地点、数据类别等信息。进而所述告警提示，至少可以包括状态数据异常的位置提示、时间提示、类别提示。可以理解的是，所述告
警发出单元13可以以警铃、警示灯等其他告警方式发出告警提示。
参数输出单元14，用于当所述状态参数小于预设的最大参数阈值和所述状态参数大于预设的最小参数阈值时，对所述状态参数进行输出。
具体实现中，当所述状态参数小于预设的最大参数阈值和所述状态参数大于预设的最小参数阈值时，代表列车正在正常运行，所述参数输出单元14可以对所述状态参数进行输出。
可以理解的是，所述参数输出单元14对所述状态参数的输出可以以图形、文字、语音播报等方式在用户界面进行展示。
在本发明实施例中，通过根据通信网络与采集轨道交通状态数据的状态数据采集端建立通信连接；基于通信连接接收状态数据采集端发送的列车运行过程中产生的状态数据，并对状态数据进行分析处理生成对应的状态参数；当状态参数大于预设的最大告警阈值和状态参数小于预设的最小告警阈值时，对状态参数进行输出的同时针对状态参数发出告警提示。通过实时获取列车运行过程产生的状态数据，可以实时的对轨道列车运行过程中的状态数据进行分析，通过对状态数据进行分析处理生成状态参数并比较状态参数和参数阈值之间的关系判断列车是否出现运行故障，可以及时的对异常状态数据引起的列车运行故障发出告警提示，进而避免了事故的发生；通过两次运用分治算法对状态数据进行分析处理得到的状态参数精确行更高，可以有效降低由于数据分析不准确产生的误告警。
需要说明的是，对于以上各方法实施例，为了简单描述将其表述为一系列动作的组合，但本领域技术人员应该知悉，本发明并不受所描述的动作顺序的限制，某些步骤可以采用其他顺序或同时进行。其次，本领域技术人员应该知悉，说明书中所描述的实施例均属于优选实施例，所涉及的操作和单元并不一定是本发明所必须的。且在上述实施例中，对各个实施例的描述都各有侧重，某个实施例中没有详述的部分，可以参见其他实施例的相关描述。
另外，本发明各个实施例中的各功能单元可以集成在一个处理的单元中，也可以是各个单元单独物理存在，也可以是两个或两个以上单元集成在一个单元中。上述集成单元既可以采用硬件的形式实现，也可以采用软件功能单元的形式实现。所述集成的单元如果以软件功能单元的形式实现并作为独立的产品
销售或使用时，可以存储在一个计算机可读取存储介质中。基于这样的理解，本发明的技术方案本质上或者说对现有技术做出贡献的部分或者该技术方案的全部或部分可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储介质中，包括若干指令用以使得一台计算机设备(可为个人计算机、服务器或者网络设备等)执行本发明各个实施例所述方法的全部或部分步骤。其中所述的存储介质包括：U盘、只读存储器(Read-Only Memory，ROM)、随机存取存储器(Random Access Memory，RAM)、移动硬盘、磁碟或者光盘等各种可以存储程序代码的介质。
以上所揭露的仅为本发明较佳实施例而已，当然不能以此来限定本发明之权利范围，因此依本发明权利要求所作的等同变化，仍属本发明所涵盖的范围。
Claims (10)
- 一种轨道交通数据监测方法，其特征在于，包括：根据通信网络与采集轨道交通状态数据的状态数据采集端建立通信连接；基于所述通信连接接收所述状态数据采集端发送的列车运行过程中产生的状态数据，并对所述状态数据进行分析处理生成对应的状态参数；当所述状态参数大于预设的最大告警阈值和所述状态参数小于预设的最小告警阈值时，对所述状态参数进行输出的同时针对所述状态参数发出告警提示。
- 如权利要求1所述的方法，其特征在于，当所述状态数据采集端为至少两个状态数据采集端时，所述基于所述通信连接接收所述状态数据采集端发送的列车运行过程中产生的状态数据，并对所述状态数据进行分析处理生成对应的状态参数，包括：基于所述通信连接接收所述状态数据采集端发送的列车运行过程中产生的子状态数据；对至少两个状态数据采集端中的每个状态数据采集端所采集的子状态数据进行分类处理生成至少一种子状态数据集合；采用预设的数据处理方法对至少一种子状态数据集合中的每种子状态数据集合进行预处理生成对应的状态数据，并对所述状态数据进行分析处理产生对应的状态参数。
- 如权利要求1或2所述的方法，其特征在于，所述对所述状态数据进行分析处理生成状态参数，包括:基于分治算法将所述状态数据进行分解、求解、合并处理之后生成对应的状态参数。
- 如权利要求1所述的方法，其特征在于，还包括：当所述状态参数小于预设的最大参数阈值和所述状态参数大于预设的最 小参数阈值时，对所述状态参数进行输出。
- 如权利要求1-4任一项所述的方法，其特征在于，所述告警提示至少包括状态数据异常的位置提示、时间提示、类别提示。
- 一种轨道交通数据监测设备，其特征在于，包括：连接建立单元，用于根据通信网络与采集轨道交通状态数据的状态数据采集端建立通信连接；参数生成单元，用于基于所述通信连接接收所述状态数据采集端发送的列车运行过程中产生的状态数据，并对所述状态数据进行分析处理生成对应的状态参数；告警发出单元，用于当所述状态参数大于预设的最大告警阈值和所述状态参数小于预设的最小告警阈值时，对所述状态参数进行输出的同时针对所述状态参数发出告警提示。
- 如权利要求6所述的设备，其特征在于，当所述状态数据采集端为至少两个状态数据采集端时，所述参数生成单元包括：数据采集子单元，基于所述通信连接接收所述状态数据采集端发送的列车运行过程中产生的子状态数据；集合生成子单元，对至少两个状态数据采集端中的每个状态数据采集端所采集的子状态数据进行分类处理生成至少一种子状态数据集合；参数生成子单元，采用预设的数据处理方法对至少一种子状态数据集合中的每种子状态数据集合进行预处理生成对应的状态数据，并对所述状态数据进行分析处理产生对应的状态参数。
- 如权利要求6或7所述的设备，其特征在于，所述参数生成单元具体用于，基于分治算法将所述状态数据进行分解、求解、合并处理之后生成对应的状态参数。
- 如权利要求6所述的设备，其特征在于，还包括：参数输出单元，当所述状态参数小于预设的最大参数阈值和所述状态参数大于预设的最小参数阈值时，对所述状态参数进行输出。
- 如权利要求6-9任一项所述的设备，其特征在于，所述告警提示至少包括状态数据异常的位置提示、时间提示、类别提示。
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| CN114513765B (zh) * | 2022-04-18 | 2022-08-02 | 江西金达莱环保股份有限公司 | 数据监控方法、系统、电子设备及存储介质 |
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