WO2019011039A1

WO2019011039A1 - Turnout information processing method and apparatus

Info

Publication number: WO2019011039A1
Application number: PCT/CN2018/084695
Authority: WO
Inventors: 王洪涛
Original assignee: 比亚迪股份有限公司
Priority date: 2017-07-10
Filing date: 2018-04-26
Publication date: 2019-01-17
Also published as: CN109242131A

Abstract

Proposed are a turnout information processing method and apparatus. The method comprises: collecting turnout information about each turnout on each track; performing big data analysis on the turnout information about each turnout on each track to acquire an analysis result; forming an optimization policy for optimizing a turnout based on the analysis result; and sending the optimization policy to a terminal device corresponding to a member of design personnel of the turnout, so as to display the optimization policy to the member of design personnel at the terminal device. By means of the method, an optimization policy for a turnout can be formed based on turnout information about all turnouts, the pertinence of turnout optimization is enhanced, and the optimization effect is improved; and the technical problems in the prior art of weak pertinence and a poor optimization effect of turnout optimization are solved.

Description

Switch information processing method and device

Cross-reference to related applications

The present application claims the priority of the Chinese Patent Application, which is filed on July 10, 2017, the Chinese Patent Application No. 201710558453.X, the disclosure of which is incorporated herein by reference. in.

Technical field

The present invention relates to the field of vehicle engineering technology, and in particular, to a ballast information processing method and apparatus.

Background technique

In the rail transit technology, in order to achieve efficient and safe operation of the vehicle, it is necessary to optimize the ballast on the track.

However, the existing optimization of the switch is mostly based on the knowledge and experience of the designers of the switch. The designer cannot accurately know the defects of the existing switch, which leads to the weaker target and the poor optimization effect.

Summary of the invention

The present invention aims to solve at least one of the technical problems in the related art to some extent.

Therefore, the first object of the present invention is to provide a method for processing information of a switch to realize an optimization strategy for the switch based on all the turnout information, to enhance the targeting of the turnout optimization, to improve the optimization effect, and to solve the prior art. The switch optimizes the technical problems of weak targeting and poor optimization.

A second object of the present invention is to provide a switch information processing apparatus.

A third object of the present invention is to propose a computer device.

A fourth object of the present invention is to provide a computer program product.

A fifth object of the present invention is to provide a non-transitory computer readable storage medium.

To achieve the above objective, the first aspect of the present invention provides a method for processing information of a switch, the method comprising:

Collecting the information of the turnouts of each track on each track;

Performing big data analysis on the turnout information of each turn of each track to obtain an analysis result;

Forming an optimization strategy for optimizing the ballast based on the analysis result;

And transmitting the optimization policy to a terminal device corresponding to the designer of the switch to display the optimization policy to the designer at the terminal device.

The switch information processing method of the embodiment of the present invention collects the turnout information of all the turns on each track to perform big data analysis and obtain the analysis result of the turnout information of each track on all the tracks, and forms an optimization strategy for optimizing the turnout based on the analysis result. And send the optimization strategy to the terminal device corresponding to the designer of the switch to display the optimization strategy to the designer at the terminal device. Therefore, the designer can optimize the switch according to the optimization strategy displayed on the terminal device, ensure that the turnout optimization strategy has strong pertinence, improve the turnout optimization effect, and provide a basis for perfecting the turnout design. Compared with the prior art, using the existing turnout information to form the optimization strategy of the switch, the optimization strategy can be formed for the existing defects, so that the designers of the turnout can solve the problem with the optimization strategy in the subsequent design of the switch. In the prior art, the optimization of the switch is not targeted.

In order to achieve the above object, an embodiment of the second aspect of the present invention provides a switch information processing apparatus, including:

An acquisition module for collecting the turnout information of each track on each track;

An analysis module, configured to perform big data analysis on the turnout information of each turn of each track to obtain an analysis result;

a first processing module, configured to form an optimization strategy for optimizing the switch based on the analysis result;

And a sending module, configured to send the optimization policy to a terminal device corresponding to the designer of the switch, to display the optimization policy to the designer at the terminal device.

The switch information processing device of the embodiment of the present invention collects the turnout information of all the turns on each track to perform big data analysis and obtain the analysis result of the turnout information of each track on all the tracks, and forms an optimization strategy for optimizing the turnout based on the analysis result. And send the optimization strategy to the terminal device corresponding to the designer of the switch to display the optimization strategy to the designer at the terminal device. Therefore, the designer can optimize the switch according to the optimization strategy displayed on the terminal device, ensure that the turnout optimization strategy has strong pertinence, improve the turnout optimization effect, and provide a basis for perfecting the turnout design. Compared with the prior art, using the existing turnout information to form the optimization strategy of the switch, the optimization strategy can be formed for the existing defects, so that the designers of the turnout can solve the problem with the optimization strategy in the subsequent design of the switch. In the prior art, the optimization of the switch is not targeted.

In order to achieve the above object, a third aspect of the present invention provides a computer device, including: a memory, a processor, and a computer program stored on the memory and operable on the processor, wherein the processor executes the In the case of the computer program, the switch information processing method as described in the first aspect of the embodiment is implemented.

In order to achieve the above object, a fourth aspect of the present invention provides a computer program product, wherein when the instructions in the computer program product are executed by a processor, the switch information processing method according to the first aspect embodiment is executed.

In order to achieve the above object, a fifth aspect of the present invention provides a non-transitory computer readable storage medium having stored thereon a computer program, which is executed by a processor to implement the switch as described in the first aspect. Information processing method.

The additional aspects and advantages of the invention will be set forth in part in the description which follows.

DRAWINGS

The above and/or additional aspects and advantages of the present invention will become apparent and readily understood from

1 is a schematic flow chart of a method for processing switch information according to an embodiment of the present invention;

2 is a schematic flowchart of a method for processing switch information according to another embodiment of the present invention;

FIG. 3 is a schematic flowchart diagram of a method for processing switch information according to another embodiment of the present invention; FIG.

FIG. 4 is a schematic flowchart diagram of a method for processing switch information according to still another embodiment of the present invention; FIG.

FIG. 5 is a schematic structural diagram of a switch information processing apparatus according to an embodiment of the present invention; FIG.

FIG. 6 is a schematic structural diagram of a switch information processing apparatus according to another embodiment of the present invention; FIG.

FIG. 7 is a schematic structural diagram of a switch information processing apparatus according to still another embodiment of the present invention; FIG.

FIG. 8 is a schematic structural diagram of a computer device according to an embodiment of the present invention.

Detailed ways

The embodiments of the present invention are described in detail below, and the examples of the embodiments are illustrated in the drawings, wherein the same or similar reference numerals are used to refer to the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the drawings are intended to be illustrative of the invention and are not to be construed as limiting.

The method and apparatus for processing the switch information according to the embodiment of the present invention will be described below with reference to the accompanying drawings.

FIG. 1 is a schematic flowchart diagram of a method for processing switch information according to an embodiment of the present invention.

As shown in FIG. 1, the method for processing the switch information includes the following steps:

S11, collecting the turnout information of each track on each track.

In general, multiple sensors are set in the corresponding parts or different positions of the switch, and the sensors detect the data of the corresponding parts or positions, and the data detected by the sensor can be used as the switch information of the switch where the sensor is located. Further, the switch information of the switch includes, but is not limited to, various sensors and position switch state information set on the switch, motor operating current and voltage detected by the inverter, position information of the switch, number of turns, and electrical component status information. , alarm information, etc. Optionally, in a possible implementation manner of the embodiment of the present invention, the switch information may further include an identifier of the switch for uniquely identifying the switch.

In order to monitor the ballast on the track to obtain the ballast condition and ensure the safe operation of the vehicle, a turnout field control cabinet is usually installed at each turnout, and the switch site control cabinet can be implemented in real time by a programmable logic controller (PLC). Obtain the data of multiple sensors set on the switch, that is, obtain the switch information of the corresponding switch to realize the monitoring of the switch. Therefore, in this embodiment, the ballast information of all the turns can be collected from the turnout field control cabinets of all the turns on each track.

As an example, an Ethernet communication module can be set in the switch field control cabinet of each switch, and the data acquired by each switch field control cabinet is packaged by the Ethernet communication module to form the switch information and sent to the track control center of the track where the switch is located. The track control center of each track then transmits the received ballast information of each switch through the Internet to realize the collection of the switch information of all the turns on each track. The transmission of the switch information through the Ethernet can ensure the efficiency of information transmission.

S12: Perform big data analysis on the turnout information of each track on each track to obtain an analysis result.

In this embodiment, after the track information of all the switches on each track is collected, the ballistic information of each track on all the tracks can be analyzed by big data, and the analysis result is obtained.

As an example, the switch information of all the switches on each track can be collected by the design of the switch and the server platform of the manufacturer, the historical alarm information, maintenance information and other data of each switch can be recorded, and all the information of the turnout is professional. Big data analysis, get the analysis results.

S13, based on the analysis result, forms an optimization strategy for optimizing the switch.

In this embodiment, the analysis result is obtained by performing big data analysis on the turnout information of all the turnouts, and the optimization strategy for optimizing the switch is formed based on the analysis result, for example, regarding the shape, size, build thickness, and gauge of the turnout. Optimize the strategy to provide a reference for Dow's designers to improve the turnout design.

S14: Send the optimization strategy to the terminal device corresponding to the designer of the switch to display the optimization strategy to the designer at the terminal device.

In this embodiment, after determining an optimization strategy for optimizing the switch based on the analysis result of the analysis of the turnout information of all the switches, the optimization strategy may be further sent to the terminal device corresponding to the designer of the switch, for example, may be through a wireless network. The optimization strategy is sent to the terminal equipment of the equipment personnel to display the optimization strategy to the designer on the terminal equipment, which enables the designer to improve the subsequent switch design according to the optimization strategy and the existing defects of the existing switch, so that the switch optimization is targeted Sex.

The ballast information processing method of the embodiment collects the ballast information of each track on each track by performing big data analysis and obtaining analysis results for the ballast information of each track on each track, and forms an optimization strategy for optimizing the ballast based on the analysis result. The optimization strategy is sent to the terminal device corresponding to the designer of the switch to display the optimization strategy to the designer at the terminal device. Therefore, the designer can optimize the switch according to the optimization strategy displayed on the terminal device, ensure that the turnout optimization strategy has strong pertinence, improve the turnout optimization effect, and provide a basis for perfecting the turnout design. Compared with the prior art, using the existing turnout information to form the optimization strategy of the switch, the optimization strategy can be formed for the existing defects, so that the designers of the turnout can solve the problem with the optimization strategy in the subsequent design of the switch. In the prior art, the optimization of the switch is not targeted.

In order to further improve the pertinence of the optimization of the switch, the switch information of all the switches can be classified to form an optimization strategy for the different components on the switch according to the classified data. Therefore, the embodiment of the present invention provides another method for processing the switch information. FIG. 2 is a schematic flowchart diagram of a method for processing switch information according to another embodiment of the present invention.

As shown in FIG. 2, the switch information processing method may include the following steps:

S21, collecting the turnout information of each track on each track.

It should be noted that, in the description of the step S21 in this embodiment, reference may be made to the description of the step S11 in the foregoing embodiment, and the implementation principle is similar, and details are not described herein again.

S22, classifying the turnout information of each turn of each track to form state information of different components of the switch.

Since the switch information may include different types of data, such as the status of the electrical component, the number of transitions, the location information of the switch, and the like, in this embodiment, after collecting the switch information of all the turns on each track, The data contained in all the information of the switch is classified and the state information is formed for different parts of the switch.

S23, for each component, analyzing based on the state information of the component to form an analysis result corresponding to the component.

In this embodiment, after the ballast information of all the turns is classified, the specialized big data analysis can be performed based on the state information of the components, and the analysis result corresponding to the components is formed for each component.

By analyzing different types of data and obtaining analysis results of different components, the state information can be analyzed in a targeted manner according to the characteristics of different components, thereby improving the accuracy of the analysis results.

S24. For each component, the defect information of the component and the position corresponding to the defect are obtained according to the analysis result.

In this embodiment, the analysis result obtained by analyzing the state information of each component may determine whether the component has a defect. For example, when the analysis result of the component is abnormal data, it may be determined that the component has a defect. Further, the defect information of the component and the position corresponding to the defect can be determined according to the specific analysis result.

S25. An optimized sub-policy according to the defect information and the location forming component.

The optimization sub-policy includes the identification of the component, the location, and the optimization parameters used to optimize the defect.

In order to distinguish the components, a unique identifier can be set for each component to distinguish the other components. The same components belonging to different switches have different identifiers, and different components belonging to the same switch have different identifiers.

Therefore, in the embodiment, the identification of the component, the defect information, the position corresponding to the defect, and the optimization parameter for optimizing the defect information, etc., can be used as an optimization sub-strategy, so that the designer can know the content to be optimized.

Since the analysis result is generated for the state information of each different component, it has strong pertinence. Therefore, in this embodiment, the defect information of the component and the position corresponding to the defect are obtained according to the analysis result of each component, and further, according to the defect information. And the location forms an optimization sub-policy corresponding to the component, which enables targeted optimization of different components.

S26, using an optimization sub-policy of each component that needs to be optimized to form an optimization strategy for optimizing the switch.

The optimization strategy is a set of policies consisting of at least one optimized sub-policy.

In this embodiment, after the optimization sub-policies corresponding to each component on each switch are determined, an optimization sub-policy of each component that needs to be optimized may be utilized to form an optimization strategy for optimizing the switch. As an example, each optimization sub-policy can be integrated. When there is a conflict between the optimization effects of components, such as optimization of one component leads to performance degradation of another component, in this case, the conflicting component can be optimized. After the sub-strategy is adjusted, it is integrated into an optimization strategy that optimizes the switch.

S27: Send the optimization strategy to the terminal device corresponding to the designer of the switch to display the optimization strategy to the designer at the terminal device.

In this embodiment, after the optimization sub-strategy of each component is used to form an optimization strategy for optimizing the switch, the optimization strategy may be sent to the terminal device corresponding to the designer of the switch to display the optimization strategy to the designer at the terminal device. Enables designers to optimize the switch based on optimization strategies.

The switch information processing method of the embodiment classifies the switch information of all the turnouts by collecting the turnout information of all the turns on each track to form state information of different parts of the turnout, and for each component, based on the state information of the components The analysis is performed to form an analysis result corresponding to the component, and the defect information of the component and the position corresponding to the defect are obtained according to the analysis result, and the optimization sub-strategy is formed according to the defect information and the optimization sub-strategy of the position forming component, and then the optimization strategy is formed by using the optimization sub-strategy. The optimization strategy is sent to the terminal equipment corresponding to the designer of the switch, and the optimization strategy is displayed to the designer in the terminal device to guide the designer to optimize the switch according to the optimization strategy, thereby further improving the optimization effect. By classifying the information of the switch, the state information obtained after the classification process is classified to obtain the analysis result, which can improve the accuracy of the analysis result and improve the optimization effect. The optimization sub-strategy is formed for different components, and the optimization sub-strategy is used to form the optimization strategy of the switch, which can make the optimization of the switch more targeted.

During the running of the vehicle, the track on the track may malfunction at any time. In order to avoid accidents caused by turnout failures, faults can be predicted for the switch. The embodiments of the present invention propose three possible implementation manners for the fault prediction of the switch based on the switch information.

As one possible implementation manner, as shown in FIG. 3, based on the foregoing embodiment, the switch information processing method may include the following steps:

S31: For each switch, perform fault prediction on the switch according to the switch information, obtain the probability of failure of the switch, and the type of the fault.

In this embodiment, for the collected channel information of each track on each track, the faults of each switch can be detected according to the data included in each track information. When there is abnormal data, the switch may be considered as a potential fault, and according to Abnormal data captures the probability of a switch failure and the type of failure. The type of the fault may be determined according to the component corresponding to the abnormal data.

As a possible implementation, the machine learning algorithm is used to construct the prediction model, and then the prediction model is trained by using a large amount of pre-acquired information. When the prediction model is trained, it can be used to predict the failure of the switch in real time. By inputting the information of the ballast to be predicted into the prediction model, the failure probability of the failure of the switch under each type of failure can be obtained.

S32. Compare the probability of the failure with a preset probability threshold.

The probability threshold can be set by the designer of the switch according to experience and design requirements, and the invention is not limited.

S33. If the probability threshold is exceeded, the identifier of the switch and the type of the fault are written into the fault switch list.

Since the orbit of the vehicle is long, more than one track may be included in one track. In order to distinguish the switch, in this embodiment, each track on the track may be assigned a unique identifier as the identification code of the switch for the switch. Uniquely identify the corresponding switch.

In this embodiment, it can be designed that each switch transmits its own track information as one of the data in the switch information when transmitting its own switch information. Alternatively, it may be designed to acquire the information of the switch that transmits the switch information while collecting the switch information of each turn.

After obtaining the probability of the failure of the switch according to the switch information of each switch, the probability of the fault may be compared with a preset probability threshold. When the probability of the fault is greater than the probability threshold, the switch is considered to have a potential fault, and then the The identity of the switch and the fault type of the switch are written to the fault switch list.

S34: After all the fault predictions are completed, send the fault switch list to the terminal equipment corresponding to the track maintenance personnel to remind the track maintenance personnel to perform the switch maintenance.

In this embodiment, after the fault prediction of all the switches on each track is completed, the faulty switch list with the track mark and the fault type may be sent to the terminal device corresponding to the track maintenance personnel. For example, the fault may be solved through the wireless network. The switch list is sent to the terminal equipment corresponding to the track maintenance personnel to remind the track maintenance personnel to perform the switch maintenance.

The switch information processing method of the embodiment compares the failure probability of the switch according to the switch information of each switch, obtains the probability of the failure of the switch and the type of the fault, and compares the probability of the fault with the preset probability threshold, when the fault occurs. When the probability exceeds the probability threshold, the identifier of the switch and the type of the fault are written into the fault switch list, and after the prediction of all the turnout faults is completed, the fault switch list is sent to the terminal device corresponding to the track maintenance personnel to remind the track maintenance. The personnel carry out the maintenance of the switch, and can timely implement the treatment measures for the faulty switch when the switch fails, and discover the potential failure of the switch, prevent the problem before it occurs, and improve the safety of the vehicle operation.

As another possible implementation manner, when the fault is predicted by using the method shown in the embodiment shown in FIG. 3, if the switch can be determined to be faulty during the prediction process, and the specific faulty device can be determined, for example, in the switch information. There are extremely abnormal data. The technician can determine the fault of the switch and determine the faulty device that causes the turnout fault according to the abnormal data and the knowledge acquired. In this case, in order to deal with the fault in time to avoid accidents, The position information of the faulty switch is extracted directly from the switch information of the faulty turnout, and the faulty device and the position information of the faulty device are generated as fault information to the terminal device corresponding to the track maintenance personnel, to remind the track maintenance personnel to perform the fault on the faulty device. service.

Compared with the method provided in the embodiment shown in FIG. 3, the method of the present example notifies the track maintenance personnel to maintain the fault without waiting for all the turnout fault prediction to be completed, and can notify the track at the first time when detecting the failure of the switch. The maintenance personnel enable the track maintenance personnel to timely handle the faulty devices, avoiding long waits and further ensuring the safety of the vehicle operation. In addition, the method of the present example can provide the faulty device to the track maintenance personnel, avoiding the track maintenance personnel to check the various components in the faulty switch, and improving the maintenance efficiency of the switch.

As another possible implementation manner, as shown in FIG. 4, based on the foregoing embodiment, the switch information processing method may include the following steps:

S41, extracting the identifier of the switch from the switch information.

As described above, in order to distinguish between the switches, a unique identifier can be assigned to each switch, and the information of the switch can be acquired while collecting the information of the switch, or each switch can be designed to simultaneously transmit its own logo when transmitting the switch information. That is, the track information of each track of each track collected includes the mark of the switch.

Therefore, in this embodiment, after collecting the switch information of all the switches on each track, the identifier of the switch can be extracted from the switch information for determining the switch for transmitting the switch information.

S42. Compare the identifier of the switch that sends the switch information with the switch list, and determine the identifier of the first switch that does not send the switch information.

In order to facilitate the search for the switch, in this embodiment, when the identifier is assigned to the switch, the one-to-one correspondence between all the switches and their identifiers may be recorded in the switch list, so as to find the corresponding switch according to the identifier.

In this embodiment, after the identifier of the switch is extracted from all the collected information, the identifier of the extracted switch of the switch information may be compared with the content recorded in the link list, and the uncollected list exists in the switch list. When the identifier is used, it may be determined that the first switch corresponding to the identifier does not send the switch information, that is, the identifier of the first switch that does not send the switch information may be determined according to the extracted identifier.

S43. Send the identifier of the first switch to the terminal device corresponding to the track maintenance personnel.

In this embodiment, after determining the identifier of the first switch that does not send the switch information, the first switch corresponding to the identifier of the first switch may be considered to be faulty, and then the identifier of the first switch is sent to the terminal device corresponding to the track maintenance personnel. The track maintenance personnel maintain the first fault of the fault.

The method for processing the switch information of the embodiment, by extracting the identifier of the switch from the switch information, comparing the identifiers of all the switches that transmit the switch information with the switch list, and determining the identifier of the first switch that does not send the switch information, and the first The identity of the switch is sent to the terminal device corresponding to the track maintenance personnel. According to the logo of the switch, the fault that can be faulty is determined, and the potential fault of the switch can be found, and the safety of the vehicle can be ensured.

In order to implement the above embodiment, the present invention also proposes a switch information processing apparatus.

FIG. 5 is a schematic structural diagram of a switch information processing apparatus according to an embodiment of the present invention.

As shown in FIG. 5, the information processing apparatus 50 includes an acquisition module 510, an analysis module 520, a first processing module 530, and a transmission module 540.

The acquisition module 510 is configured to collect the turnout information of each track on each track.

The switch information of the switch includes but is not limited to the status information of each sensor and position switch set on the switch, the motor operating current and voltage detected by the inverter, the position information of the switch, the number of turns, the status information of the electrical components, and the alarm information. Wait. Optionally, in a possible implementation manner of the embodiment of the present invention, the switch information may further include an identifier of the switch for uniquely identifying the switch.

The analysis module 520 is configured to perform big data analysis on the turnout information of each track on each track to obtain an analysis result.

The first processing module 530 is configured to form an optimization strategy for optimizing the switch based on the analysis result.

The sending module 540 is configured to send the optimization policy to the terminal device corresponding to the designer of the switch to display the optimization strategy to the designer at the terminal device.

In order to further improve the targeting optimization of the switch, the switch information of all the switches can be classified to form an optimization strategy of different components on the switch according to the classified data, so as shown in FIG. Based on the analysis module 520, the classification unit 521 and the analysis unit 522 can be included.

The classification unit 521 is configured to classify the turnout information of each track on each track to form state information of different components of the switch.

The analysis unit 522 is configured to perform analysis based on the state information of the component for each component to form an analysis result corresponding to the component.

The first processing module 530 can include a generating unit 531 and a combining unit 532.

The generating unit 531 is configured to acquire, for each component, defect information of the component and a position corresponding to the defect according to the analysis result, and an optimization sub-policy of the component according to the defect information and the position.

The combining unit 532 is configured to form an optimization strategy for optimizing the switch using an optimization sub-policy of each component that needs to be optimized.

By classifying the information of the switch, the state information obtained after the classification process is classified to obtain the analysis result, which can improve the accuracy of the analysis result and improve the optimization effect. The optimization sub-strategy is formed for different components, and the optimization sub-strategy is used to form the optimization strategy of the switch, which can make the optimization of the switch more targeted.

During the running of the vehicle, the track on the track may malfunction at any time. In order to avoid accidents caused by turnout failures, faults can be predicted for the switch. Thus, as shown in FIG. 7, the switch information processing apparatus 50 may further include a failure prediction module 550 based on the foregoing embodiments.

The fault prediction module 550 is configured to perform fault prediction on the switch according to the switch information for each switch, obtain the probability of occurrence of the switch and the type of the fault, compare the probability of the fault with a preset probability threshold, and if the probability threshold is exceeded, Write the logo of the switch and the type of fault to the fault switch list. After all the tunnel fault predictions are completed, the sending module 540 sends the fault switch list to the terminal device corresponding to the track maintenance personnel to remind the track maintenance personnel to perform the switch maintenance.

Optionally, in a possible implementation manner of the embodiment of the present invention, the fault prediction module 550 is further configured to: when determining a switch fault in the predicting process, extract the position information of the switch from the switch information, and utilize the fault device and the location information. Form a fault message. Then, the sending module 540 sends the fault information to the terminal device corresponding to the track maintenance personnel.

As shown in FIG. 7, the switch information processing apparatus 50 may further include a second processing module 560 based on the foregoing embodiments.

The second processing module 560 is configured to extract the identifier of the switch from the switch information; compare the identifiers of all the switches that transmit the switch information with the switch list, and determine the identifier of the first switch that does not send the switch information.

The sending module 540 is further configured to send the identifier of the first switch to the terminal device corresponding to the track maintenance personnel.

By predicting the fault of the switch and sending the relevant information of the switch that may be faulty to the terminal equipment corresponding to the track maintenance personnel, the track maintenance personnel can timely repair the fault switch or the device, and can discover the potential fault of the switch. In the first place, the safety of the vehicle is guaranteed.

It should be noted that the foregoing description of the method for processing the information of the switch is also applicable to the switch information processing device of the embodiment, and the implementation principle is similar, and details are not described herein again.

The switch information processing device of the embodiment collects the turnout information of all the turns on each track to perform big data analysis and obtain the analysis result of the turnout information of each track on all the tracks, and forms an optimization strategy for optimizing the switch based on the analysis result. The optimization strategy is sent to the terminal device corresponding to the designer of the switch to display the optimization strategy to the designer at the terminal device. Therefore, the designer can optimize the switch according to the optimization strategy displayed on the terminal device, ensure that the turnout optimization strategy has strong pertinence, improve the turnout optimization effect, and provide a basis for perfecting the turnout design. Compared with the prior art, using the existing turnout information to form the optimization strategy of the switch, the optimization strategy can be formed for the existing defects, so that the designers of the turnout can solve the problem with the optimization strategy in the subsequent design of the switch. In the prior art, the optimization of the switch is not targeted.

In order to implement the above embodiments, the present invention also proposes a computer device.

As shown in FIG. 8, the computer device 80 includes a memory 801, a processor 802, and a computer program 803 stored on the memory 801 and operable on the processor 802. When the processor 802 executes the computer program 803, it can be implemented. A ballast information collecting method as described in the foregoing embodiments.

In order to implement the above embodiments, the present invention also provides a non-transitory computer readable storage medium having stored thereon a computer program capable of implementing the switch information collection method as described in the foregoing embodiments when executed by the processor.

In order to implement the above embodiments, the present invention also provides a computer program product that, when executed by a processor, executes the switch information collection method as described in the foregoing embodiments.

In the description of the present specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" and the like means a specific feature described in connection with the embodiment or example. A structure, material or feature is included in at least one embodiment or example of the invention. In the present specification, the schematic representation of the above terms is not necessarily directed to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in a suitable manner in any one or more embodiments or examples. In addition, various embodiments or examples described in the specification and features of various embodiments or examples may be combined and combined without departing from the scope of the invention.

Moreover, the terms "first" and "second" are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, features defining "first" and "second" may include at least one of the features, either explicitly or implicitly. In the description of the present invention, the meaning of "a plurality" is at least two, such as two, three, etc., unless specifically defined otherwise.

Any process or method description in the flowcharts or otherwise described herein may be understood to represent a module, segment or portion of code comprising one or more executable instructions for implementing the steps of a custom logic function or process. And the scope of the preferred embodiments of the invention includes additional implementations, in which the functions may be performed in a substantially simultaneous manner or in an opposite order depending on the functions involved, in the order shown or discussed. It will be understood by those skilled in the art to which the embodiments of the present invention pertain.

The logic and/or steps represented in the flowchart or otherwise described herein, for example, may be considered as an ordered list of executable instructions for implementing logical functions, and may be embodied in any computer readable medium, Used in conjunction with, or in conjunction with, an instruction execution system, apparatus, or device (eg, a computer-based system, a system including a processor, or other system that can fetch instructions and execute instructions from an instruction execution system, apparatus, or device) Or use with equipment. For the purposes of this specification, a "computer-readable medium" can be any apparatus that can contain, store, communicate, propagate, or transport a program for use in an instruction execution system, apparatus, or apparatus, or in conjunction with such an instruction execution system, apparatus, or apparatus. More specific examples (non-exhaustive list) of computer readable media include the following: electrical connections (electronic devices) having one or more wires, portable computer disk cartridges (magnetic devices), random access memory (RAM), Read only memory (ROM), erasable editable read only memory (EPROM or flash memory), fiber optic devices, and portable compact disk read only memory (CDROM). In addition, the computer readable medium may even be a paper or other suitable medium on which the program can be printed, as it may be optically scanned, for example by paper or other medium, followed by editing, interpretation or, if appropriate, other suitable The method is processed to obtain the program electronically and then stored in computer memory.

It should be understood that portions of the invention may be implemented in hardware, software, firmware or a combination thereof. In the above-described embodiments, multiple steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware and in another embodiment, it can be implemented by any one or combination of the following techniques well known in the art: discrete with logic gates for implementing logic functions on data signals Logic circuits, application specific integrated circuits with suitable combinational logic gates, programmable gate arrays (PGAs), field programmable gate arrays (FPGAs), and the like.

One of ordinary skill in the art can understand that all or part of the steps carried by the method of implementing the above embodiments can be completed by a program to instruct related hardware, and the program can be stored in a computer readable storage medium. When executed, one or a combination of the steps of the method embodiments is included.

In addition, each functional unit in each embodiment of the present invention may be integrated into one processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above integrated modules can be implemented in the form of hardware or in the form of software functional modules. The integrated modules, if implemented in the form of software functional modules and sold or used as stand-alone products, may also be stored in a computer readable storage medium.

The above mentioned storage medium may be a read only memory, a magnetic disk or an optical disk or the like. Although the embodiments of the present invention have been shown and described, it is understood that the above-described embodiments are illustrative and are not to be construed as limiting the scope of the invention. The embodiments are subject to variations, modifications, substitutions and variations.

Claims

A method for processing information of a switch, characterized in that it comprises:

Collecting the information of the turnouts of each track on each track;

Performing big data analysis on the turnout information of each track on each track to obtain analysis results;

Forming an optimization strategy for optimizing the ballast based on the analysis result;

And transmitting the optimization policy to a terminal device corresponding to the designer of the switch to display the optimization policy to the designer at the terminal device.
The switch information processing method according to claim 1, wherein the macro data analysis and the analysis result of the turnout information of each track on each track comprises:

Classifying the information of the turnouts of each track on each track to form state information of different parts of the switch;

Performing an analysis based on the state information of the component for each component to form an analysis result corresponding to the component;

The forming an optimization strategy for optimizing the switch based on the analysis result includes:

Obtaining defect information of the component and a position corresponding to the defect according to the analysis result for each component;

Forming an optimized sub-policy of the component according to the defect information and the location; wherein the optimization sub-policy includes an identification of the component, the location, and an optimization parameter for optimizing the defect;

The optimization sub-policy that optimizes the switch is formed by the optimization sub-policy of each component that needs to be optimized; wherein the optimization strategy is a policy set composed of at least one optimization sub-policy.
The method of processing the switch information according to claim 1 or 2, further comprising:

For each switch, performing fault prediction on the switch according to the switch information, obtaining a probability that the switch is faulty, and a type of the fault;

Comparing the probability of the fault with a preset probability threshold;

If the probability threshold is exceeded, the identifier of the switch and the type of the fault are written into the fault switch list;

After all the fault predictions are completed, the fault switch list is sent to the terminal device corresponding to the track maintenance personnel to remind the track maintenance personnel to perform the switch maintenance.
The method of processing the switch information according to claim 3, further comprising:

When it is determined that the switch has failed in the fault prediction process, the position information of the switch is extracted from the switch information, and the fault information is generated by using the faulty device and the position information to be sent to the terminal device corresponding to the track maintenance personnel.
The method of processing the switch information according to any one of claims 1 to 4, further comprising:

Extracting the identifier of the switch from the switch information;

Comparing the identifier of the switch that sends the switch information with the switch list to determine the identifier of the first switch that does not send the switch information;

Sending the identifier of the first switch to the terminal device corresponding to the track maintenance personnel.
The switch information processing method according to any one of claims 1 to 5, wherein the switch information includes status information of each sensor and position switch provided on the switch, motor operating current detected by the inverter, and At least one of voltage, position information of the switch, number of turns, electrical component status information, and alarm information.
A switch information processing device, comprising:

An acquisition module for collecting the turnout information of each track on each track;

The analysis module is configured to perform big data analysis on the turnout information of each track on each track to obtain an analysis result;

a first processing module, configured to form an optimization strategy for optimizing the switch based on the analysis result;

And a sending module, configured to send the optimization policy to a terminal device corresponding to the designer of the switch, to display the optimization policy to the designer at the terminal device.
The switch information processing device according to claim 7, wherein the analysis module comprises:

a classification unit for classifying the switch information of each turn of each track to form state information of different parts of the switch;

An analyzing unit, configured to analyze each component based on state information of the component to form an analysis result corresponding to the component;

The first processing module includes:

a generating unit, configured to acquire, for each component, defect information of the component and a position corresponding to the defect according to the analysis result;

Forming an optimized sub-policy of the component according to the defect information and the location; wherein the optimization sub-policy includes an identification of the component, the location, and an optimization parameter for optimizing the defect;

And a combination unit, configured to form an optimization strategy for optimizing the switch by using the optimization sub-policy of each component that needs to be optimized; wherein the optimization strategy is a policy set composed of at least one optimization sub-policy.
The switch information processing device according to claim 7 or 8, further comprising:

a fault prediction module, configured to perform fault prediction on the switch according to the switch information for each switch, obtain a probability of occurrence of the switch and a type of the fault; and set a probability of the fault with a preset probability The threshold is compared; if the probability threshold is exceeded, the identifier of the switch and the type of the fault are written into the fault switch list;

The sending module is further configured to send the fault switch list to the terminal device corresponding to the track maintenance personnel after the completion of the prediction of all the switch faults, to remind the track maintenance personnel to perform the switch maintenance.
The switch information processing device according to claim 9, wherein the fault prediction module is further configured to:

Determining, when the fault occurs in the fault prediction process, the location information of the switch is extracted from the switch information, and the fault information is formed by using the faulty device and the location information;

The sending module is further configured to send the fault information to a terminal device corresponding to the track maintenance personnel.
The switch information processing apparatus according to any one of claims 7 to 10, further comprising:

a second processing module, configured to extract an identifier of the switch from the switch information; compare the identifier of the switch that sends the switch information with a switch list, and determine an identifier of the first switch that does not send the switch information ;

The sending module is further configured to send the identifier of the first switch to the terminal device corresponding to the track maintenance personnel.
The switch information processing apparatus according to any one of claims 7-11, wherein the switch information includes status information of each sensor and position switch provided on the switch, motor operating current detected by the inverter, and At least one of voltage, position information of the switch, number of turns, electrical component status information, and alarm information.
A computer device, comprising: a memory, a processor, and a computer program stored on the memory and operable on the processor, wherein the processor executes the computer program, as claimed in claim 1. The method of processing the switch information according to any one of the items -6.
A computer program product for performing the switch information processing method according to any one of claims 1 to 6 when the instructions in the computer program product are executed by a processor.
A non-transitory computer readable storage medium having stored thereon a computer program, wherein the computer program is executed by a processor to implement the switch information processing method according to any one of claims 1-6.