CN117745243A - Subway steel rail profile polishing control management system and method - Google Patents

Subway steel rail profile polishing control management system and method Download PDF

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Publication number
CN117745243A
CN117745243A CN202410015888.XA CN202410015888A CN117745243A CN 117745243 A CN117745243 A CN 117745243A CN 202410015888 A CN202410015888 A CN 202410015888A CN 117745243 A CN117745243 A CN 117745243A
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China
Prior art keywords
subway
polishing
profile
rail
experience
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CN202410015888.XA
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Chinese (zh)
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王森
胡兴佳
苏飞
陈璇
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Beijing Jiuzhou Tiewu Track Technology Service Co ltd
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Beijing Jiuzhou Tiewu Track Technology Service Co ltd
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Priority to CN202410015888.XA priority Critical patent/CN117745243A/en
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Abstract

The invention provides a subway steel rail profile polishing control management system and a method, wherein the system comprises the following steps: the information acquisition module is used for acquiring the current profile, the target profile and the polishing scheme receiving node of the subway steel rail to be polished; the polishing scheme making module is used for making a polishing scheme of the subway rail based on the current profile, the target profile and a subway rail profile polishing experience library; and the polishing scheme delivery module is used for delivering the polishing scheme to the polishing scheme receiving node. According to the subway rail profile polishing control management system and method, the subway rail profile polishing experience library is introduced, the system is based on the current profile, the target profile and the subway rail profile polishing experience library of the subway rail to be polished, a polishing scheme can be automatically formulated, a technician is not required to formulate, the labor cost is reduced, and the efficiency is improved.

Description

Subway steel rail profile polishing control management system and method
Technical Field
The invention relates to the technical field of computer data processing, in particular to a subway steel rail profile polishing control management system and method.
Background
At present, along with the increase of the service time of the subway rail, the profile of the subway rail may be deformed, and in order to avoid unsafe situations such as shaking of the subway rail deformed by the profile on a subway train running on the subway rail, profile polishing needs to be performed on the subway rail deformed by the profile.
When the profile of the subway rail with deformed profile is polished, a polishing scheme is required to be manufactured according to the current profile of the subway rail to be polished and the target profile which needs to be achieved after the subway rail to be polished is polished, and the subway rail to be polished is correspondingly polished according to the polishing scheme. Generally, the polishing scheme is formulated by technicians with abundant polishing experience of subway steel rail profiles on site, but two defects exist in doing so: firstly, the number of subway rails to be polished on site is often large, each subway rail to be polished needs a technical staff to make a polishing scheme, and the labor cost is high; secondly, the technician needs to spend a certain time to make the scheme of polishing, and the efficiency is lower.
Thus, a solution is needed.
Disclosure of Invention
The invention aims to provide a subway rail profile polishing control management system, which is introduced into a subway rail profile polishing experience library, and can automatically formulate a polishing scheme based on the current profile, the target profile and the subway rail profile polishing experience library of a subway rail to be polished, so that technical staff is not required to formulate, the labor cost is reduced, and the efficiency is improved.
The embodiment of the invention provides a subway steel rail profile polishing control management system, which comprises the following components:
The information acquisition module is used for acquiring the current profile, the target profile and the polishing scheme receiving node of the subway steel rail to be polished;
the polishing scheme making module is used for making a polishing scheme of the subway rail to be polished based on the current profile, the target profile and the subway rail profile polishing experience library;
the polishing scheme delivery module is used for delivering the polishing scheme to the polishing scheme receiving node;
the construction method of the subway steel rail profile polishing experience library comprises the following steps:
acquiring polishing experience of a plurality of first subway steel rail profiles to be put in storage;
verifying the credibility of the polishing experience of the profile of the first subway steel rail;
and when the verification is passed, constructing a subway rail profile polishing experience library based on the polishing experience corresponding to the first subway rail profile.
Preferably, the polishing scheme making module makes a polishing scheme of the subway rail based on the current profile, the target profile and a subway rail profile polishing experience library, and performs the following operations:
performing difference comparison on the current profile and the target profile to obtain a region to be polished;
performing feature extraction on the region to be polished based on a preset feature extraction template to obtain region features;
determining an experience retrieval condition generation template corresponding to the feature type of the regional feature from a preset experience retrieval condition generation template library;
Generating a template based on the experience retrieval condition, and generating the experience retrieval condition according to the regional characteristics;
searching a second subway rail profile polishing experience meeting experience searching conditions from a subway rail profile polishing experience library;
extracting a polishing scheme item from the polishing experience of the profile of the second subway steel rail;
pairing the polishing scheme item with the region to be polished to obtain a pairing group;
and integrating the matched groups to obtain a polishing scheme.
Preferably, verifying the credibility of the polishing experience of the first subway rail profile comprises:
acquiring the credibility of polishing experience of the profile of the first subway steel rail;
when the credibility is larger than or equal to a preset credibility threshold, passing verification; otherwise, not pass;
the method for obtaining the credibility of the polishing experience of the first subway steel rail profile comprises the following steps:
acquiring a source scene of first subway steel rail profile polishing experience;
matching the source scene with a trusted source scene in a preset trusted source scene;
when the matching is consistent, the credibility is calculated according to a preset target value; otherwise, extracting a dialogue record between a publisher of the first subway rail profile polishing experience from the source scene and a browser of the first subway rail profile polishing experience in the source scene;
Counting the total number of records of the dialogue records;
counting a first record number of dialogue records conforming to a first dialogue record condition;
counting a second record number of dialogue records conforming to a second dialogue record condition;
based on the total number of records, the first number of records and the second number of records, calculating the credibility according to the following calculation formula:
σ=ρ 1 ·n 12 ·K+ρ 3 ·(N-n 1 -n 2 )
wherein sigma is credibility, n 1 For the first number of recordings, K is an intermediate coefficient, N is the total number of recordings, N 2 For the second record number ρ 1 、ρ 2 And ρ 3 D is a preset constant for a preset weight value;
wherein the first dialogue recording condition includes:
the cooling time length of the dialogue record falls in a preset first cooling time length interval; the cooling time period includes: the target side reads the last speaking but not replying duration in the dialogue record; the target party is the publisher or the browser of the last speaker in the non-dialogue record;
the first semantics of the last preset number of utterances of the browsed party in the dialogue record are matched with at least one first trigger semantics in a preset first trigger semantics library;
wherein the second dialogue recording condition includes:
the cooling time period falls within a preset second cooling time period;
the dialogue initiator and the dialogue ending person of the dialogue record are all browsing parties;
The first semantics are matched with at least one second trigger semantics in a preset second trigger semantics library.
Preferably, the determination steps of the subway rail to be polished are as follows:
acquiring a preset subway rail line map;
determining a plurality of rail sections from a subway rail in a subway rail line map; the length of the steel rail section is the preset steel rail section length;
determining and drawing a plurality of inspection frames comprising a plurality of steel rail sections from a subway steel rail line map based on inspection frame conditions;
determining and drawing a shortest route for connecting all inspection frames from a subway steel rail line diagram;
pushing the subway rail line map to subway rail inspection personnel;
acquiring a rail section marked in a subway rail line diagram by a subway rail inspection staff and needing polishing, and taking the rail section as a subway rail to be polished;
wherein, the inspection frame condition includes:
the area of the inspection frame is smaller than or equal to a preset area threshold value;
the sum of the inspection necessary values of the steel rail sections in the inspection frame is larger than or equal to a preset sum threshold value or the total number of the steel rail sections with the inspection necessary values larger than or equal to a preset necessary threshold value in the inspection frame is larger than or equal to a preset number threshold value; the inspection necessary values include: and the matching degree between the steel rail use information of the steel rail section in the subway steel rail line map and the preset standard steel rail use information.
Preferably, the subway rail profile polishing control management system further comprises:
an expert access module for comprising:
when a subway rail to be polished generates a polishing abnormal event during polishing, a preset online expert is connected to solve the polishing abnormal event.
The subway steel rail profile polishing control management method provided by the embodiment of the invention comprises the following steps:
step S1: acquiring a current profile, a target profile and a polishing scheme receiving node of a subway steel rail to be polished;
step S2: based on the current profile, the target profile and a subway rail profile polishing experience library, a polishing scheme of a subway rail to be polished is formulated;
step S3: delivering the polishing scheme to a polishing scheme receiving node;
the construction method of the subway steel rail profile polishing experience library comprises the following steps:
acquiring polishing experience of a plurality of first subway steel rail profiles to be put in storage;
verifying the credibility of the polishing experience of the profile of the first subway steel rail;
and when the verification is passed, constructing a subway rail profile polishing experience library based on the polishing experience corresponding to the first subway rail profile.
Preferably, step S2: based on the current profile, the target profile and the subway rail profile polishing experience library, a subway rail polishing scheme is formulated, and the method comprises the following steps:
Performing difference comparison on the current profile and the target profile to obtain a region to be polished;
performing feature extraction on the region to be polished based on a preset feature extraction template to obtain region features;
determining an experience retrieval condition generation template corresponding to the feature type of the regional feature from a preset experience retrieval condition generation template library;
generating a template based on the experience retrieval condition, and generating the experience retrieval condition according to the regional characteristics;
searching a second subway rail profile polishing experience meeting experience searching conditions from a subway rail profile polishing experience library;
extracting a polishing scheme item from the polishing experience of the profile of the second subway steel rail;
pairing the polishing scheme item with the region to be polished to obtain a pairing group;
and integrating the matched groups to obtain a polishing scheme.
Preferably, verifying the credibility of the polishing experience of the first subway rail profile comprises:
acquiring the credibility of polishing experience of the profile of the first subway steel rail;
when the credibility is larger than or equal to a preset credibility threshold, passing verification; otherwise, not pass;
the method for obtaining the credibility of the polishing experience of the first subway steel rail profile comprises the following steps:
acquiring a source scene of first subway steel rail profile polishing experience;
Matching the source scene with a trusted source scene in a preset trusted source scene;
when the matching is consistent, the credibility is calculated according to a preset target value; otherwise, extracting a dialogue record between a publisher of the first subway rail profile polishing experience from the source scene and a browser of the first subway rail profile polishing experience in the source scene;
counting the total number of records of the dialogue records;
counting a first record number of dialogue records conforming to a first dialogue record condition;
counting a second record number of dialogue records conforming to a second dialogue record condition;
based on the total number of records, the first number of records and the second number of records, calculating the credibility according to the following calculation formula:
σ=ρ 1 ·n 12 ·K+ρ 3 ·(N-n 1 -n 2 )
wherein sigma is credibility, n 1 For the first number of recordings, K is an intermediate coefficient, N is the total number of recordings, N 2 For the second record number ρ 1 、ρ 2 And ρ 3 D is a preset constant for a preset weight value;
wherein the first dialogue recording condition includes:
the cooling time length of the dialogue record falls in a preset first cooling time length interval; the cooling time period includes: the target side reads the last speaking but not replying duration in the dialogue record; the target party is the publisher or the browser of the last speaker in the non-dialogue record;
The first semantics of the last preset number of utterances of the browsed party in the dialogue record are matched with at least one first trigger semantics in a preset first trigger semantics library;
wherein the second dialogue recording condition includes:
the cooling time period falls within a preset second cooling time period;
the dialogue initiator and the dialogue ending person of the dialogue record are all browsing parties;
the first semantics are matched with at least one second trigger semantics in a preset second trigger semantics library.
Preferably, the determination steps of the subway rail to be polished are as follows:
acquiring a preset subway rail line map;
determining a plurality of rail sections from a subway rail in a subway rail line map; the length of the steel rail section is the preset steel rail section length;
determining and drawing a plurality of inspection frames comprising a plurality of steel rail sections from a subway steel rail line map based on inspection frame conditions;
determining and drawing a shortest route for connecting all inspection frames from a subway steel rail line diagram;
pushing the subway rail line map to subway rail inspection personnel;
acquiring a rail section marked in a subway rail line diagram by a subway rail inspection staff and needing polishing, and taking the rail section as a subway rail to be polished;
wherein, the inspection frame condition includes:
The area of the inspection frame is smaller than or equal to a preset area threshold value;
the sum of the inspection necessary values of the steel rail sections in the inspection frame is larger than or equal to a preset sum threshold value or the total number of the steel rail sections with the inspection necessary values larger than or equal to a preset necessary threshold value in the inspection frame is larger than or equal to a preset number threshold value; the inspection necessary values include: and the matching degree between the steel rail use information of the steel rail section in the subway steel rail line map and the preset standard steel rail use information.
Preferably, the subway rail profile polishing control management method further comprises the following steps:
when a subway rail to be polished generates a polishing abnormal event during polishing, a preset online expert is connected to solve the polishing abnormal event.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a schematic diagram of a subway rail profile grinding control management system in an embodiment of the invention;
fig. 2 is a schematic diagram of a polishing control management method for a subway rail profile in an embodiment of the invention.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
The embodiment of the invention provides a subway steel rail profile polishing control and management system, as shown in fig. 1, comprising:
the information acquisition module 1 is used for acquiring the current profile, the target profile and the polishing scheme receiving node of the subway steel rail to be polished; the method comprises the steps that a current profile can be obtained by measuring a subway rail to be polished by using a rail profile measuring instrument; the target profile is a standard profile which needs to be achieved after the subway steel rail to be polished is polished; the polishing scheme receiving node is a communication node and is in butt joint with an intelligent terminal used by a worker who is about to polish a subway rail by using the subway rail polishing equipment;
the polishing scheme making module 2 is used for making a polishing scheme of the subway rail to be polished based on the current profile, the target profile and the subway rail profile polishing experience library; the subway rail profile polishing experience library is provided with a large number of first subway rail profile polishing experiences which pass the reliability verification according to the experience of a polishing scheme which is prepared according to the current profile of a subway rail to be polished and the target profile which needs to be achieved after the subway rail to be polished is polished;
A polishing scheme delivery module 3 for delivering the polishing scheme to the polishing scheme receiving node; after the polishing scheme is delivered to the polishing scheme receiving node, a worker can check the polishing scheme through the intelligent terminal;
the construction method of the subway steel rail profile polishing experience library comprises the following steps:
acquiring polishing experience of a plurality of first subway steel rail profiles to be put in storage;
verifying the credibility of the polishing experience of the profile of the first subway steel rail; the reliability represents the reliability of the polishing experience of the first subway rail profile, and the greater the reliability is, the greater the reliability of the polishing experience of the first subway rail profile is, and the smaller the reliability is, otherwise;
and when the verification is passed, constructing a subway rail profile polishing experience library based on the polishing experience corresponding to the first subway rail profile. The subway rail profile polishing experience library is built based on the first subway rail profile polishing experience passing the reliability verification, so that the construction quality of the subway rail profile polishing experience library is improved, and the applicability of the subway rail profile polishing experience library for making polishing schemes is improved.
The working principle and the beneficial effects of the technical scheme are as follows:
according to the subway rail profile polishing experience library, the polishing scheme can be automatically formulated based on the current profile, the target profile and the subway rail profile polishing experience library of the subway rail to be polished, a technician is not required to formulate, the labor cost is reduced, and the efficiency is improved.
When the method is specifically applied, a worker carries a steel rail profile measuring instrument, subway steel rail polishing equipment and an intelligent terminal to the side of a steel rail to be polished, the steel rail profile measuring instrument is used for measuring the current profile of the steel rail to be polished, the steel rail profile measuring instrument transmits the current profile back to a system, the system formulates a polishing scheme based on the current profile, a target profile and a subway steel rail profile polishing experience library and transmits the polishing scheme to the intelligent terminal, and the worker checks the polishing scheme through the intelligent terminal and uses the subway steel rail polishing equipment to polish the steel rail to be polished correspondingly.
In one embodiment, the polishing scheme making module 2 makes a polishing scheme of the subway rail based on the current profile, the target profile and the subway rail profile polishing experience library, and performs the following operations:
performing difference comparison on the current profile and the target profile to obtain a region to be polished; the method comprises the steps that a current profile of a subway steel rail to be polished is required to be changed into a template profile after being polished, so that the current profile and a target profile are subjected to difference comparison, and the areas on the current profile, which need to be polished, namely the areas to be polished, can be determined;
performing feature extraction on the region to be polished based on a preset feature extraction template to obtain region features; the area features are the shape features of the area to be polished, such as: the feature extraction template is a template for the system to compare with the template for extracting the shape features of the region to be polished;
Determining an experience retrieval condition generation template corresponding to the feature type of the regional feature from a preset experience retrieval condition generation template library; wherein, the feature types include area features, perimeter features and the like; the empirical search condition generation template is a template for generating an empirical search condition based on the region characteristics, such as: the experience retrieval condition generation template is a polishing area with the area required by the retrieved experience, the area is characterized by 3.2 square centimeters, and the experience retrieved by the experience retrieval condition position is required to be applied to the polishing area with the area of 3.2 square centimeters;
generating a template based on the experience retrieval condition, and generating the experience retrieval condition according to the regional characteristics; the experience retrieval condition is a condition for retrieving the second subway rail profile polishing experience suitable for polishing the region to be polished;
searching a second subway rail profile polishing experience meeting experience searching conditions from a subway rail profile polishing experience library; during retrieval, the polishing experience of the profile of the second subway steel rail is required to meet all experience retrieval conditions;
extracting a polishing scheme item from the polishing experience of the profile of the second subway steel rail; the polishing scheme items, namely local polishing schemes corresponding to the region to be polished, exist in the polishing experience of the second subway steel rail profile;
Pairing the polishing scheme item with the region to be polished to obtain a pairing group; after pairing, displaying which polishing scheme item is adopted by which region to be polished in the polishing scheme, and classifying definitely;
and integrating the matched groups to obtain a polishing scheme.
The working principle and the beneficial effects of the technical scheme are as follows:
according to the embodiment of the invention, the characteristic extraction template, the regional characteristic, the experience retrieval condition generation template and the experience retrieval condition are introduced, so that the second subway rail profile polishing experience applicable to the region to be polished is rapidly retrieved from the subway rail profile polishing experience library, a polishing scheme is rapidly generated, and the efficiency of the formulation of the polishing scheme is improved.
In one embodiment, verifying the trustworthiness of the first subway rail profile grinding experience includes:
acquiring the credibility of polishing experience of the profile of the first subway steel rail;
when the credibility is larger than or equal to a preset credibility threshold, passing verification; otherwise, not pass; the reliability threshold may be, for example: 85;
the method for obtaining the credibility of the polishing experience of the first subway steel rail profile comprises the following steps:
acquiring a source scene of first subway steel rail profile polishing experience; the source scene is a scene that technicians with rich grinding experience of the subway rail profile can share the grinding experience of the subway rail profile, for example: technical communication forum, weChat/QQ/nail group, etc.;
Matching the source scene with a trusted source scene in a preset trusted source scene; the trusted source scene is a trusted source scene, for example: a micro-letter group and the like which are used for sharing the polishing experience of the subway rail profile by technicians with rich polishing experience of the subway rail profile in a subway company to which the system is applied;
when the matching is consistent, the credibility is calculated according to a preset target value; otherwise, extracting a dialogue record between a publisher of the first subway rail profile polishing experience from the source scene and a browser of the first subway rail profile polishing experience in the source scene; when the matching is met, the source scene is credible, the credibility is directly calculated according to a target value, and the target value is larger than a credibility threshold; the publisher is a technician with rich polishing experience of the subway rail profile, after the publisher publishes the polishing experience of the first subway rail profile in the source scene, a browsing party browses, and evaluation, questioning and the like can be performed during browsing, so that dialogue records are generated with the publisher;
counting the total number of records of the dialogue records;
counting a first record number of dialogue records conforming to a first dialogue record condition;
Counting a second record number of dialogue records conforming to a second dialogue record condition;
based on the total number of records, the first number of records and the second number of records, calculating the credibility according to the following calculation formula:
σ=ρ 1 ·n 12 ·K+ρ 3 ·(N-n 1 -n 2 )
wherein sigma is credibility, n 1 For the first number of recordings, K is an intermediate coefficient, N is the total number of recordings, N 2 For the second record number ρ 1 、ρ 2 And ρ 3 D is a preset constant for a preset weight value; the weight value can be set in advance by technicians according to requirements; the constant may be, for example: 30;
the more the first record number of dialogue records conforming to the first dialogue record condition is, the higher the credibility degree of the polishing experience of the profile of the first subway steel rail is represented; the more the second record number of dialogue records conforming to the second dialogue record condition, the lower the degree of confidence representing the grinding experience of the first subway rail profile; therefore, in the formula, the credibility is in a direct proportion relation with the first record number and in an inverse proportion relation with the second record number; the total number is subtracted by the first record number and the second record number in turn to obtain the number of dialogue records which do not accord with the first dialogue record condition or the second dialogue record condition, and the larger the value is, the more times the first subway rail profile grinding experience is discussed are represented, the degree of credibility of the first subway rail profile grinding experience is represented to a certain extent, and the proportional relation is also formed between the total number and the credibility; in addition, when the second record number is 0, a constant preset by an intermediate coefficient is given, the calculation of the credibility is included, and generally, the second record number is 0, the artificial 0 for questioning and negating the polishing of the profile of the first subway steel rail is explained, and the polishing experience of the profile of the first subway steel rail is indirectly explained to be more credible;
Wherein the first dialogue recording condition includes:
the cooling time length of the dialogue record falls in a preset first cooling time length interval; the cooling time period includes: the target side reads the last speaking but not replying duration in the dialogue record; the target party is the publisher or the browser of the last speaker in the non-dialogue record; the first cooling duration interval may be, for example: 2 hours to 7 days;
the first semantics of the last preset number of utterances of the browsed party in the dialogue record are matched with at least one first trigger semantics in a preset first trigger semantics library; the preset number may be, for example: 3, a step of; the first trigger semantics are semantics that reflect that the viewer experiences a positive perspective (e.g., support, endorsement, approval, etc.) on the first subway rail profile grinding, such as: "do so very well" etc.;
in general, there are cases where the confidence level of the polishing experience of the profile of the first subway rail is high: after the browsing party and the issuing party communicate, the two end the conversation, any party does not reply continuously within a certain time, and the browsing party holds a positive view on the polishing experience of the first subway rail profile before the conversation ends. The two conditions can screen dialogue records conforming to the situation, so that the more the first record number of dialogue records conforming to the first dialogue record condition is, the higher the credibility degree of the polishing experience of the profile of the first subway rail is;
Wherein the second dialogue recording condition includes:
the cooling time period falls within a preset second cooling time period; the second cooling duration region may be, for example: 3 to 10 days;
the dialogue initiator and the dialogue ending person of the dialogue record are all browsing parties;
the first semantics are matched with at least one second trigger semantics in a preset second trigger semantics library. The second trigger semantics are semantics that reflect that the browsing party holds a negative perspective (such as question, negative, etc.) on the polishing experience of the first subway rail profile, such as: "such sanding is clearly not right", etc.
In general, there is one such situation that represents a low degree of confidence in the grinding experience of the first subway rail profile: after the browsing party browses the polishing experience of the first subway steel rail profile, the browsing party immediately feels questioned or negated, questions are given to the publisher, after a certain time of communication, the dialogue is ended, the browsing party still presents questioned or negated before the dialogue is ended, and the publisher does not reply right after browsing, so that longer cooling time is generated. The three conditions can screen out dialogue records meeting the condition, so that the more the second records of dialogue records meeting the second dialogue record condition, the lower the credibility degree of the polishing experience of the profile of the first subway rail is represented.
The working principle and the beneficial effects of the technical scheme are as follows:
generally, the polishing experience of the subway steel rail is uploaded by technicians with rich polishing experience of the subway steel rail profile in a subway company to which the system is applied, and the problem of limitation exists in the process: the number of such technicians in a single subway company is limited, and the subway rail polishing experience uploaded by the technicians cannot rapidly cover all the situations of the subway rail needing polishing, namely different areas to be polished, so that the applicability of the subway rail profile polishing experience library for making polishing schemes is not high. The embodiment of the invention can solve the problem: the source scene is introduced, and is a scene which is shared by technicians with rich subway rail profile polishing experience in any subway company and the like, the first subway rail profile polishing experience is obtained from the source scene and is used for a subway rail profile polishing experience library, so that the comprehensiveness of construction of the subway rail profile polishing experience library is improved, and the situation that all subway rails need to be polished, namely different regions to be polished, can be rapidly covered.
In addition, when technicians share the polishing experience of the first subway rail profile in the technical communication forum, weChat/QQ/nail group and the like, the reliability degree of the shared polishing experience of the first subway rail profile needs to be determined, and conventionally, the reliability degree is determined by praying quantity, good scoring quantity, poor scoring quantity, good scoring content, poor scoring content and the like, but in this way, there is a limiting problem: praise, bad authenticity is low, such as: the colleagues of the technicians support sharing of the technicians in a relationship friendly way, and praise is made without reading the content; secondly, some scenes such as WeChat/QQ/nail groups have no praise, good, bad option, resulting in lower applicability; finally, when determining based on the good and bad contents, the semantics of each good and bad contents need to be analyzed one by one to determine the view of the browsing party, which is complicated. The embodiment of the invention can solve the problem: the credibility of the first subway rail profile polishing experience is determined only based on the dialogue record between the publisher of the first subway rail profile polishing experience and the browser browsing the first subway rail profile polishing experience in the source scene, any type of source scene can generate dialogue record, the generated dialogue record indicates that the browser interacts with the publisher to publish comments, the authenticity is higher, in addition, the first dialogue record condition and the second dialogue record condition are introduced, the positive and negative of the view held by the browser are rapidly determined, semantic analysis of each dialogue content is not needed, convenience is improved, and the method has applicability.
In one embodiment, the determination steps for the subway rail to be polished are as follows:
acquiring a preset subway rail line map; wherein, the distribution positions of a plurality of subway rails of the urban subway are arranged in the subway rail line map;
determining a plurality of rail sections from a subway rail in a subway rail line map; the length of the steel rail section is the preset steel rail section length; the length of the steel rail section can be, for example: 3 meters;
determining and drawing a plurality of inspection frames comprising a plurality of steel rail sections from a subway steel rail line map based on inspection frame conditions; the inspection frame is a minimum surrounding rectangle of a plurality of steel rail sections contained in the inspection frame;
determining and drawing a shortest route for connecting all inspection frames from a subway steel rail line diagram;
pushing the subway rail line map to subway rail inspection personnel; after a subway steel rail inspection personnel views a subway steel rail line diagram, the inspection can be carried out along the shortest route, when the subway steel rail inspection personnel enters an inspection frame, the inspection personnel stays, and whether the profile of a steel rail section in the inspection frame is deformed or not is checked, namely whether the steel rail section needs to be polished or not is checked;
acquiring a rail section marked in a subway rail line diagram by a subway rail inspection staff and needing polishing, and taking the rail section as a subway rail to be polished; when a subway steel rail inspection personnel detects that a steel rail section needs to be polished, marking the steel rail section in a subway steel rail line chart, and when the system receives the steel rail section, immediately arranging the polishing personnel to go;
Wherein, the inspection frame condition includes:
the area of the inspection frame is smaller than or equal to a preset area threshold value; the area threshold may be, for example: the method comprises the steps of carrying out a first treatment on the surface of the 12 square meters; when the condition is met, the inspection frame is not too large, so that after the subway steel rail inspection personnel enter the inspection frame, the steel sections to be inspected are not too many, namely the inspection tasks are fewer, and the defect that the inspection of the subway steel rail inspection personnel is required to be completed quickly due to the fact that the inspection tasks in the inspection frame are too many is avoided, so that the inspection recognition degree is reduced;
the sum of the inspection necessary values of the steel rail sections in the inspection frame is larger than or equal to a preset sum threshold value or the total number of the steel rail sections with the inspection necessary values larger than or equal to a preset necessary threshold value in the inspection frame is larger than or equal to a preset number threshold value; the inspection necessary values include: and the matching degree between the steel rail use information of the steel rail section in the subway steel rail line map and the preset standard steel rail use information. The sum threshold may be, for example: 300; the necessary threshold may be, for example: 70; the number threshold may be, for example: 4, a step of; the rail usage information includes: the shape of the steel rail section, the total time of putting into use, the total number of times of passing by the train, the carrying capacity of the train in the way and the like; variable parameters such as total time length of steel rail usage in the steel rail usage information are counted again after each grinding of the steel rail section; the standard rail usage information is rail usage information representing the possible profile deformation of the rail section, i.e. when polishing is required, such as: the shape of the steel rail section is linear, the length of the steel rail section is 45 days when the steel rail section is put into use, and the like; the bigger the matching degree is, the higher the possibility that the steel rail section needs to be polished is; when the condition is met, the necessity of inspecting the steel rail section in the inspection frame is enough, and the inspection is worth of inspecting the area.
The working principle and the beneficial effects of the technical scheme are as follows:
generally, when the subway steel rail to be polished is determined, the subway steel rail inspection staff inspection the subway steel rail one by one, so that the inspection efficiency is lower. The embodiment of the invention can solve the problem: and a patrol frame is introduced, marked in the subway rail line map and pushed to subway rail patrol personnel, and the subway rail patrol personnel can carry out targeted patrol on the rail sections by contrasting the shortest route planned on the subway rail line map with the patrol frame, so that the patrol efficiency is improved. In addition, the inspection frame conditions are introduced, so that the accuracy, the rationality and the applicability of the inspection frame determination are improved.
In one embodiment, the subway rail profile grinding control management system further comprises:
an expert access module for comprising:
when a subway rail to be polished generates a polishing abnormal event during polishing, a preset online expert is connected to solve the polishing abnormal event. Among these, the grinding anomaly event may be, for example: abnormal subway rail grinding equipment and the like; the online expert is a technician with polishing abnormal event solving experience, and the online expert is accessed to quickly solve the polishing abnormal event.
The embodiment of the invention provides a subway steel rail profile polishing control management method, which is shown in fig. 2 and comprises the following steps:
step S1: acquiring a current profile, a target profile and a polishing scheme receiving node of a subway steel rail to be polished;
step S2: based on the current profile, the target profile and a subway rail profile polishing experience library, a polishing scheme of a subway rail to be polished is formulated;
step S3: delivering the polishing scheme to a polishing scheme receiving node;
the construction method of the subway steel rail profile polishing experience library comprises the following steps:
acquiring polishing experience of a plurality of first subway steel rail profiles to be put in storage;
verifying the credibility of the polishing experience of the profile of the first subway steel rail;
and when the verification is passed, constructing a subway rail profile polishing experience library based on the polishing experience corresponding to the first subway rail profile.
Step S2: based on the current profile, the target profile and the subway rail profile polishing experience library, a subway rail polishing scheme is formulated, and the method comprises the following steps:
performing difference comparison on the current profile and the target profile to obtain a region to be polished;
performing feature extraction on the region to be polished based on a preset feature extraction template to obtain region features;
determining an experience retrieval condition generation template corresponding to the feature type of the regional feature from a preset experience retrieval condition generation template library;
Generating a template based on the experience retrieval condition, and generating the experience retrieval condition according to the regional characteristics;
searching a second subway rail profile polishing experience meeting experience searching conditions from a subway rail profile polishing experience library;
extracting a polishing scheme item from the polishing experience of the profile of the second subway steel rail;
pairing the polishing scheme item with the region to be polished to obtain a pairing group;
and integrating the matched groups to obtain a polishing scheme.
Verifying the credibility of the polishing experience of the first subway rail profile comprises the following steps:
acquiring the credibility of polishing experience of the profile of the first subway steel rail;
when the credibility is larger than or equal to a preset credibility threshold, passing verification; otherwise, not pass;
the method for obtaining the credibility of the polishing experience of the first subway steel rail profile comprises the following steps:
acquiring a source scene of first subway steel rail profile polishing experience;
matching the source scene with a trusted source scene in a preset trusted source scene;
when the matching is consistent, the credibility is calculated according to a preset target value; otherwise, extracting a dialogue record between a publisher of the first subway rail profile polishing experience from the source scene and a browser of the first subway rail profile polishing experience in the source scene;
Counting the total number of records of the dialogue records;
counting a first record number of dialogue records conforming to a first dialogue record condition;
counting a second record number of dialogue records conforming to a second dialogue record condition;
based on the total number of records, the first number of records and the second number of records, calculating the credibility according to the following calculation formula:
σ=ρ 1 ·n 12 ·K+ρ 3 ·(N-n 1 -n 2 )
wherein sigma is credibility, n 1 For the first number of recordings, K is an intermediate coefficient, N is the total number of recordings, N 2 For the second record number ρ 1 、ρ 2 And ρ 3 D is a preset constant for a preset weight value;
wherein the first dialogue recording condition includes:
the cooling time length of the dialogue record falls in a preset first cooling time length interval; the cooling time period includes: the target side reads the last speaking but not replying duration in the dialogue record; the target party is the publisher or the browser of the last speaker in the non-dialogue record;
the first semantics of the last preset number of utterances of the browsed party in the dialogue record are matched with at least one first trigger semantics in a preset first trigger semantics library;
wherein the second dialogue recording condition includes:
the cooling time period falls within a preset second cooling time period;
the dialogue initiator and the dialogue ending person of the dialogue record are all browsing parties;
The first semantics are matched with at least one second trigger semantics in a preset second trigger semantics library.
The determination steps of the subway steel rail to be polished are as follows:
acquiring a preset subway rail line map;
determining a plurality of rail sections from a subway rail in a subway rail line map; the length of the steel rail section is the preset steel rail section length;
determining and drawing a plurality of inspection frames comprising a plurality of steel rail sections from a subway steel rail line map based on inspection frame conditions;
determining and drawing a shortest route for connecting all inspection frames from a subway steel rail line diagram;
pushing the subway rail line map to subway rail inspection personnel;
acquiring a rail section marked in a subway rail line diagram by a subway rail inspection staff and needing polishing, and taking the rail section as a subway rail to be polished;
wherein, the inspection frame condition includes:
the area of the inspection frame is smaller than or equal to a preset area threshold value;
the sum of the inspection necessary values of the steel rail sections in the inspection frame is larger than or equal to a preset sum threshold value or the total number of the steel rail sections with the inspection necessary values larger than or equal to a preset necessary threshold value in the inspection frame is larger than or equal to a preset number threshold value; the inspection necessary values include: and the matching degree between the steel rail use information of the steel rail section in the subway steel rail line map and the preset standard steel rail use information.
The method further comprises the steps of:
when a subway rail to be polished generates a polishing abnormal event during polishing, a preset online expert is connected to solve the polishing abnormal event.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.

Claims (10)

1. A subway rail profile polishing control management system, comprising:
the information acquisition module is used for acquiring the current profile, the target profile and the polishing scheme receiving node of the subway steel rail to be polished;
the polishing scheme making module is used for making a polishing scheme of the subway rail to be polished based on the current profile, the target profile and a subway rail profile polishing experience library;
a polishing scheme delivery module for delivering the polishing scheme to the polishing scheme receiving node;
the construction steps of the subway steel rail profile polishing experience library are as follows:
acquiring polishing experience of a plurality of first subway steel rail profiles to be put in storage;
Verifying the credibility of the polishing experience of the first subway steel rail profile;
and when the first subway rail profile polishing experience is verified, constructing the subway rail profile polishing experience library based on the first subway rail profile polishing experience.
2. The subway rail profile polishing control management system as set forth in claim 1, wherein the polishing scheme making module makes a polishing scheme of the subway rail based on the current profile, the target profile and a subway rail profile polishing experience library, and performs the following operations:
performing difference comparison on the current profile and the target profile to obtain a region to be polished;
performing feature extraction on the region to be polished based on a preset feature extraction template to obtain region features;
determining an experience retrieval condition generation template corresponding to the feature type of the regional feature from a preset experience retrieval condition generation template library;
generating a template based on the experience retrieval condition, and generating an experience retrieval condition according to the regional characteristics;
searching a second subway rail profile polishing experience conforming to the experience searching condition from the subway rail profile polishing experience library;
extracting a polishing scheme item from the polishing experience of the second subway steel rail profile;
Pairing the polishing scheme item with the region to be polished to obtain a pairing group;
and integrating the matched groups to obtain the polishing scheme.
3. A subway rail profile grinding control management system as set forth in claim 1, wherein said verifying the credibility of said first subway rail profile grinding experience includes:
acquiring the credibility of the polishing experience of the first subway steel rail profile;
when the credibility is larger than or equal to a preset credibility threshold, passing verification; otherwise, not pass;
wherein obtaining the credibility of the first subway rail profile grinding experience comprises:
acquiring a source scene of the first subway steel rail profile polishing experience;
matching the source scene with a trusted source scene in a preset trusted source scene;
when the matching is met, the credibility is calculated according to a preset target value; otherwise, extracting a dialogue record between a publisher of the first subway rail profile grinding experience and a browser browsing the first subway rail profile grinding experience in the source scene;
counting the total number of the dialogue records;
Counting a first record number of the dialogue records meeting a first dialogue record condition;
counting a second record number of the dialogue records meeting a second dialogue record condition;
based on the total number of records, the first number of records and the second number of records, calculating the credibility according to the following calculation formula:
σ=ρ 1 ·n 12 ·K+ρ 3 ·(N-n 1 -n 2 )
wherein σ is the confidence level, n 1 For the first number of records, K is an intermediate coefficient, N is the total number of records, N 2 For the second number of records ρ 1 、ρ 2 And ρ 3 D is a preset constant for a preset weight value;
wherein the first dialogue recording condition includes:
the cooling time length of the dialogue record falls in a preset first cooling time length interval; the cooling time period includes: the target party has read the last speaking but not replying duration in the dialogue record; the target party is the publisher or the browser who is not the last speaker in the conversation record;
the first semantics of the last preset number of utterances of the browsing party in the dialogue record are matched with at least one first trigger semantics in a preset first trigger semantics library;
wherein the second dialogue recording condition includes:
the cooling time period falls within a preset second cooling time period;
The dialogue initiator and the dialogue ending person of the dialogue record are all the browsing parties;
the first semantics are matched with at least one second trigger semantics in a preset second trigger semantics library.
4. A subway rail profile grinding control management system as set forth in claim 1, wherein the determining step of the subway rail to be ground is as follows:
acquiring a preset subway rail line map;
determining a plurality of rail sections from a subway rail in the subway rail line map; the length of the steel rail section is the preset steel rail section length;
determining and drawing a plurality of inspection frames comprising a plurality of steel rail sections from the subway steel rail line map based on inspection frame conditions;
determining and drawing a shortest route connecting each inspection frame from the subway steel rail line diagram;
pushing the subway rail line map to subway rail inspection staff;
acquiring the steel rail sections, marked in the subway steel rail line diagram, to be polished by the subway steel rail inspection personnel, and taking the steel rail sections as the subway steel rails to be polished;
wherein, the inspection frame condition includes:
the area of the inspection frame is smaller than or equal to a preset area threshold value;
The sum of the inspection necessary values of the steel rail sections in the inspection frame is larger than or equal to a preset sum threshold value or the total number of the steel rail sections in the inspection frame, the inspection necessary value of which is larger than or equal to a preset necessary threshold value, is larger than or equal to a preset number threshold value; the inspection necessary value comprises: and the matching degree between the steel rail use information of the steel rail section in the subway steel rail line map and preset standard steel rail use information.
5. A subway rail profile grinding control management system as set forth in claim 1, further comprising:
an expert access module for comprising:
when the subway steel rail to be polished generates a polishing abnormal event during polishing, a preset online expert is accessed to solve the polishing abnormal event.
6. The subway steel rail profile polishing control and management method is characterized by comprising the following steps of:
step S1: acquiring a current profile, a target profile and a polishing scheme receiving node of a subway steel rail to be polished;
step S2: based on the current profile, the target profile and a subway rail profile polishing experience library, a polishing scheme of the subway rail to be polished is formulated;
step S3: delivering the sanding scheme to the sanding scheme receiving node;
The construction steps of the subway steel rail profile polishing experience library are as follows:
acquiring polishing experience of a plurality of first subway steel rail profiles to be put in storage;
verifying the credibility of the polishing experience of the first subway steel rail profile;
and when the first subway rail profile polishing experience is verified, constructing the subway rail profile polishing experience library based on the first subway rail profile polishing experience.
7. A method for controlling and managing the polishing of a profile of a subway rail according to claim 6, wherein the step S2: based on the current profile, the target profile and a subway rail profile polishing experience library, a polishing scheme of the subway rail is formulated, and the polishing scheme comprises the following steps:
performing difference comparison on the current profile and the target profile to obtain a region to be polished;
performing feature extraction on the region to be polished based on a preset feature extraction template to obtain region features;
determining an experience retrieval condition generation template corresponding to the feature type of the regional feature from a preset experience retrieval condition generation template library;
generating a template based on the experience retrieval condition, and generating an experience retrieval condition according to the regional characteristics;
searching a second subway rail profile polishing experience conforming to the experience searching condition from the subway rail profile polishing experience library;
Extracting a polishing scheme item from the polishing experience of the second subway steel rail profile;
pairing the polishing scheme item with the region to be polished to obtain a pairing group;
and integrating the matched groups to obtain the polishing scheme.
8. A method of controlling and managing the grinding of a profile of a subway rail as set forth in claim 6, wherein said verifying the reliability of the grinding experience of the profile of the first subway rail comprises:
acquiring the credibility of the polishing experience of the first subway steel rail profile;
when the credibility is larger than or equal to a preset credibility threshold, passing verification; otherwise, not pass;
wherein obtaining the credibility of the first subway rail profile grinding experience comprises:
acquiring a source scene of the first subway steel rail profile polishing experience;
matching the source scene with a trusted source scene in a preset trusted source scene;
when the matching is met, the credibility is calculated according to a preset target value; otherwise, extracting a dialogue record between a publisher of the first subway rail profile grinding experience and a browser browsing the first subway rail profile grinding experience in the source scene;
Counting the total number of the dialogue records;
counting a first record number of the dialogue records meeting a first dialogue record condition;
counting a second record number of the dialogue records meeting a second dialogue record condition;
based on the total number of records, the first number of records and the second number of records, calculating the credibility according to the following calculation formula:
σ=ρ 1 ·n 12 ·K+ρ 3 ·(N-n 1 -n 2 )
wherein σ is the confidence level, n 1 For the first number of records, K is an intermediate coefficient, N is the total number of records, N 2 For the second number of records ρ 1 、ρ 2 And ρ 3 D is a preset constant for a preset weight value;
wherein the first dialogue recording condition includes:
the cooling time length of the dialogue record falls in a preset first cooling time length interval; the cooling time period includes: the target party has read the last speaking but not replying duration in the dialogue record; the target party is the publisher or the browser who is not the last speaker in the conversation record;
the first semantics of the last preset number of utterances of the browsing party in the dialogue record are matched with at least one first trigger semantics in a preset first trigger semantics library;
wherein the second dialogue recording condition includes:
The cooling time period falls within a preset second cooling time period;
the dialogue initiator and the dialogue ending person of the dialogue record are all the browsing parties;
the first semantics are matched with at least one second trigger semantics in a preset second trigger semantics library.
9. The subway rail profile polishing control management method as set forth in claim 6, wherein the determining step of the subway rail to be polished is as follows:
acquiring a preset subway rail line map;
determining a plurality of rail sections from a subway rail in the subway rail line map; the length of the steel rail section is the preset steel rail section length;
determining and drawing a plurality of inspection frames comprising a plurality of steel rail sections from the subway steel rail line map based on inspection frame conditions;
determining and drawing a shortest route connecting each inspection frame from the subway steel rail line diagram;
pushing the subway rail line map to subway rail inspection staff;
acquiring the steel rail sections, marked in the subway steel rail line diagram, to be polished by the subway steel rail inspection personnel, and taking the steel rail sections as the subway steel rails to be polished;
wherein, the inspection frame condition includes:
The area of the inspection frame is smaller than or equal to a preset area threshold value;
the sum of the inspection necessary values of the steel rail sections in the inspection frame is larger than or equal to a preset sum threshold value or the total number of the steel rail sections in the inspection frame, the inspection necessary value of which is larger than or equal to a preset necessary threshold value, is larger than or equal to a preset number threshold value; the inspection necessary value comprises: and the matching degree between the steel rail use information of the steel rail section in the subway steel rail line map and preset standard steel rail use information.
10. A method of controlling and managing the sanding of a subway rail profile as set forth in claim 6, further comprising:
when the subway steel rail to be polished generates a polishing abnormal event during polishing, a preset online expert is accessed to solve the polishing abnormal event.
CN202410015888.XA 2024-01-05 2024-01-05 Subway steel rail profile polishing control management system and method Pending CN117745243A (en)

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Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103343497A (en) * 2013-07-29 2013-10-09 株洲时代电子技术有限公司 Optimized grinding method for rail grinding wagon
CN104180767A (en) * 2013-05-24 2014-12-03 武汉铁路局武汉大型养路机械运用检修段 steel-rail wear measurement device based on machine vision and grinding strategy method thereof
CN111516727A (en) * 2020-05-12 2020-08-11 上海数深智能科技有限公司 High-speed rail defect abnormity intelligent diagnosis and detection system and method based on double vibration measurement sensors
CN112464397A (en) * 2020-11-07 2021-03-09 西南交通大学 Railway turnout steel rail polishing profile optimization method
US20210406429A1 (en) * 2020-06-26 2021-12-30 Sentient Science Corporation Method and system for predicting wear and crack growth in a rail system
CN114154337A (en) * 2021-12-07 2022-03-08 中铁物总运维科技有限公司 Method for designing steel rail profile grinding scheme based on personalized pattern library
CN114381976A (en) * 2022-01-20 2022-04-22 武汉大学 Expert system-based self-adaptive water jet steel rail grinding method and equipment
CN114575205A (en) * 2022-04-28 2022-06-03 中铁第四勘察设计院集团有限公司 Water jet steel rail profile intelligent polishing system based on image data processing
CN116894613A (en) * 2023-09-11 2023-10-17 中国民航科学技术研究院 Visual management system and method applied to airport
CN117114320A (en) * 2023-08-25 2023-11-24 上海宜软检测技术有限公司 Project man-hour management method and system
CN117188229A (en) * 2023-09-19 2023-12-08 唐山昆铁科技有限公司 Rail polishing control method, device, equipment and readable storage medium

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104180767A (en) * 2013-05-24 2014-12-03 武汉铁路局武汉大型养路机械运用检修段 steel-rail wear measurement device based on machine vision and grinding strategy method thereof
CN103343497A (en) * 2013-07-29 2013-10-09 株洲时代电子技术有限公司 Optimized grinding method for rail grinding wagon
CN111516727A (en) * 2020-05-12 2020-08-11 上海数深智能科技有限公司 High-speed rail defect abnormity intelligent diagnosis and detection system and method based on double vibration measurement sensors
US20210406429A1 (en) * 2020-06-26 2021-12-30 Sentient Science Corporation Method and system for predicting wear and crack growth in a rail system
CN112464397A (en) * 2020-11-07 2021-03-09 西南交通大学 Railway turnout steel rail polishing profile optimization method
CN114154337A (en) * 2021-12-07 2022-03-08 中铁物总运维科技有限公司 Method for designing steel rail profile grinding scheme based on personalized pattern library
CN114381976A (en) * 2022-01-20 2022-04-22 武汉大学 Expert system-based self-adaptive water jet steel rail grinding method and equipment
CN114575205A (en) * 2022-04-28 2022-06-03 中铁第四勘察设计院集团有限公司 Water jet steel rail profile intelligent polishing system based on image data processing
CN117114320A (en) * 2023-08-25 2023-11-24 上海宜软检测技术有限公司 Project man-hour management method and system
CN116894613A (en) * 2023-09-11 2023-10-17 中国民航科学技术研究院 Visual management system and method applied to airport
CN117188229A (en) * 2023-09-19 2023-12-08 唐山昆铁科技有限公司 Rail polishing control method, device, equipment and readable storage medium

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
刘洁 等: "基于比磨削能的中低速钢轨打磨技术研究", 《机车电传动》, 31 March 2021 (2021-03-31) *

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