Rail communication equipment health level assessment method and system based on hybrid labeling method

Abstract

The present invention discloses a rail communication equipment health level assessment method and system based on a hybrid label method, the method comprising: S1, collecting the operation monitoring data of the communication transmission equipment and storing it as an operation monitoring database, constructing the equipment health index, and dividing the equipment health index into three indicator categories: performance index, alarm index, and status index; S2, constructing a performance index comprehensive label, a status index comprehensive label, and an alarm index comprehensive label according to the three indicator categories of performance index, alarm index, and status index; S3, the hybrid label model first evaluates the operation monitoring data in the operation monitoring database according to the labels of the equipment health index range standard, and calculates the comprehensive health level according to the weights set by the comprehensive labels of the three indicator categories. The present invention improves the timeliness and accuracy of the health level evaluation of rail transit communication transmission equipment, and greatly improves the convenience and safety of subway operation.

Description

Technical Field

[0001] The present invention relates to the field of health evaluation of rail transit communication transmission equipment, and in particular to a method and system for evaluating the health level of rail transit communication equipment based on a hybrid labeling method. Background Art

[0002] Rail transit communication equipment is a key equipment in rail transit, and rail transit communication equipment will generate a lot of data during operation and monitoring. As rail transit communication and transmission equipment becomes increasingly complete, various corresponding equipment health indicators have also emerged. The original health evaluation of rail transit communication and transmission equipment is relatively general and cannot objectively and accurately reflect the health level of rail transit communication equipment (the health evaluation is subjectively affected by maintenance personnel and cannot objectively and accurately reflect the health level of transmission equipment). Equipment maintenance personnel cannot obtain the health level status of each device in a timely and accurate manner. Under this situation, a unified equipment health indicator is needed to objectively and accurately reflect the health level assessment of communication transmission equipment. How to fully understand the operating status, performance and potential risks of communication equipment in order to promptly discover potential problems and take corresponding maintenance measures is a technical problem that urgently needs to be solved. Summary of the invention

[0003] The purpose of the present invention is to solve the technical problems pointed out by the background technology, and to provide a method and system for evaluating the health level of rail communication equipment based on a hybrid labeling method, so as to improve the timeliness and accuracy of the health level evaluation of rail transit communication transmission equipment.

[0004] The purpose of the present invention is achieved through the following technical solutions:

[0005] A rail communication equipment health level assessment method based on a hybrid labeling method, the method comprising:

[0006] S1. Collect the operation monitoring data of the communication transmission equipment and store it as an operation monitoring database. The operation monitoring database is classified and stored according to the level, and the lowest level is the equipment unit; construct a hybrid label model and use the operation monitoring database to extract and construct the equipment health index, divide the equipment health index into three indicator categories: performance index, alarm index, and status index, and set the range standard label for each equipment health index corresponding to each indicator category;

[0007] S2. According to the three indicator categories of performance indicator, alarm indicator and status indicator, a comprehensive label of performance indicator, a comprehensive label of status indicator and a comprehensive label of alarm indicator are constructed respectively;

[0008] S3. The hybrid label model first evaluates the operation monitoring data in the operation monitoring database according to the labels of the equipment health indicator range standard, and then classifies and adds the three indicator categories of performance indicator, alarm indicator, and status indicator to obtain the performance indicator evaluation value, alarm indicator evaluation value, and status indicator evaluation value respectively. Then, the comprehensive label classification of the three indicator categories is used to obtain the performance indicator health level, alarm indicator health level, and status indicator health level. The comprehensive health level is calculated according to the weights set by the comprehensive labels of the three indicator categories.

[0009] Preferably, in step S1, the data source of the operation monitoring data includes transmission equipment fault data, transmission equipment performance data, transmission equipment status data and transmission equipment historical alarm data.

[0010] Preferably, in step S1, the levels of the operation monitoring database are stored according to the levels of lines, sites, and equipment units; in step S3, the obtained comprehensive health level is stored and output in three levels according to lines, sites, and equipment units.

[0011] Preferably, in step S1, the performance indicators are labeled with range standards using optical power as an indicator feature, and the optical power includes the first optical power, the current optical power, and the previous optical power; the alarm indicators are labeled with range standards using alarm data as an indicator feature, and the alarm data includes the number of first-level alarms, the number of second-level alarms, and the number of third-level alarms; the status indicators are labeled with range standards using the over-limit state as an indicator feature, and the over-limit state includes the corresponding set over-limit level, over-limit data item, and over-limit data range.

[0012] Preferably, in step S2, the performance indicator comprehensive label assigns weights according to the equipment health indicators in the performance indicator category and divides the data into several health level label data; the alarm indicator comprehensive label assigns weights according to the equipment health indicators in the alarm indicator category and divides the data into several health level label data; the status indicator comprehensive label assigns weights according to the equipment health indicators in the status indicator category and divides the data into several health level label data.

[0013] Preferably, in step S3, the method for obtaining the performance indicator health level is as follows: all performance indicator evaluation values ​​in the performance indicator category are counted and the corresponding performance indicator health level is obtained based on the health level label data of the performance indicator comprehensive label according to the weight.

[0014] Preferably, in step S3, the alarm indicator health level is obtained by the following method: all alarm indicator evaluation values ​​in the alarm indicator category are counted and the corresponding alarm indicator health level is obtained based on the health level label data of the alarm indicator comprehensive label according to the weight.

[0015] Preferably, in step S3, the method for obtaining the health level of the status indicator is as follows: all status indicator evaluation values ​​in the status indicator category are counted and the corresponding status indicator health level is obtained based on the health level label data of the status indicator comprehensive label according to the weight.

[0016] Preferably, in step S3, the comprehensive health level includes four health levels: excellent, good, medium and poor.

[0017] A rail communication equipment health level assessment system based on a hybrid label method includes a data acquisition module and a hybrid label model: the data acquisition module includes an operation monitoring database, the data acquisition module is used to collect the operation monitoring data of the communication transmission equipment and store it as an operation monitoring database, the operation monitoring database is classified and stored according to the hierarchy, and the lowest level is the equipment unit; the hybrid label model includes a label database, the operation monitoring database is used to extract and construct equipment health indicators, the equipment health indicators are divided into three indicator categories: performance indicators, alarm indicators, and status indicators, and the range standard labels are set for each equipment health indicator corresponding to each indicator category and stored in the label database; the hybrid label model is based on performance indicators, alarm indicators, and status indicators. The three indicator categories of alarm indicators and status indicators respectively construct performance indicator comprehensive labels, status indicator comprehensive labels and alarm indicator comprehensive labels and store them in the label database; the hybrid label model first evaluates the operation monitoring data in the operation monitoring database according to the labels of the equipment health indicator range standard, and then classifies and adds them according to the three indicator categories of performance indicators, alarm indicators and status indicators to obtain the performance indicator evaluation value, alarm indicator evaluation value and status indicator evaluation value respectively, and then uses the comprehensive labels of the three indicator categories to classify the performance indicator health level, alarm indicator health level and status indicator health level, and calculates the comprehensive health level according to the weights set by the comprehensive labels of the three indicator categories.

[0018] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0019] (1) The present invention utilizes a hybrid label model to set the equipment health indicators of the communication transmission equipment according to the composite setting of its own equipment label, the hybrid label of three indicator categories, and the comprehensive health level label of the level to be evaluated, and performs health evaluation based on the operation monitoring data of the communication transmission equipment, thereby improving the timeliness and accuracy of the health level evaluation of rail transit communication transmission equipment, and also providing great convenience for equipment maintenance personnel, reducing the investment in manpower costs, and making the operation and maintenance process of the transmission equipment more scientific and simpler.

[0020] (2) The hybrid label model used in the present invention can realize hierarchical health assessment of equipment units, stations, and lines, facilitate the storage and output of health results of different concern scales, meet the various needs of different subway operation personnel, and realize the effective management of subway operation health and maintenance, greatly improving the speed and safety of subway operation, and also making the operation and maintenance process of rail communication equipment more scientific and monitoring processing simpler. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 A method flow chart of a method for evaluating the health level of rail communication equipment according to the present invention;

[0022] Figure 2 A visual schematic diagram of the health assessment results performed by the method and system of the present invention;

[0023] Figure 3 It is a principle block diagram of the rail communication equipment health level assessment system of the present invention. DETAILED DESCRIPTION

[0024] The present invention is further described in detail below in conjunction with embodiments:

[0025] Example

[0026] like Figure 1 As shown, a rail communication equipment health level assessment method based on a hybrid labeling method includes:

[0027] S1. Collect the operation monitoring data of communication transmission equipment (mainly including access control system, train communication control system, telephone system, broadcasting system, television monitoring system, etc.) and store it as an operation monitoring database. The operation monitoring database is classified and stored according to the hierarchy, and the lowest level is the equipment unit. In some embodiments, the hierarchy of the operation monitoring database is stored according to the hierarchy of lines, stations, and equipment units. A line includes several stations, a station includes several equipment units, and the equipment unit level has multiple devices. In some embodiments, the data source of the operation monitoring data includes transmission equipment fault data, transmission equipment performance data, transmission equipment status data, and transmission equipment historical alarm data. The operation monitoring data in the operation monitoring database comes from the data content of transmission equipment fault data, transmission equipment performance data, transmission equipment status data, and transmission equipment historical alarm data as the data source. The data content needs to be integrated, extracted, and preprocessed.

[0028] Construct a hybrid label model and use the operation monitoring database to extract and construct equipment health indicators (extract the indicator items of equipment health indicators based on the data related to equipment health in the operation monitoring database, so as to facilitate the subsequent search for equipment health indicators to find the corresponding data content, and then evaluate the equipment health indicators and obtain the health assessment value of the equipment based on the label data). Divide the equipment health indicators into three indicator categories: performance indicators, alarm indicators, and status indicators. That is, all equipment health indicators are classified and divided according to performance indicators, alarm indicators, and status indicators and matched to their belonging indicator categories, so as to facilitate the subsequent health assessment according to the indicator category classification, and set the range standard labels for each equipment health indicator corresponding to each indicator category.

[0029] In some embodiments, performance indicators are labeled with range standards based on optical power as an indicator feature. Optical power includes the first optical power, the current optical power, and the previous optical power. Of course, performance indicators can also include other data representing performance (such as communication bandwidth, time interval, signal transmission speed, bandwidth utilization, download rate, delay, number of connections, coverage, etc.); optical power is an important indicator of communication transmission equipment. Optical power is the output of electromagnetic wave energy radiated by a light source per unit time, and it is also the work done by light per unit time. Optical power represents the communication signal strength of the communication transmission equipment; when using optical power, the first optical power is equivalent to the signal strength when it is enabled. Comparing the current optical power with the previous optical power can show the change in signal strength (such as getting stronger or weaker). The alarm indicator sets the label of the range standard according to the alarm data as the indicator feature. The alarm data includes the number of first-level alarms, the number of second-level alarms, and the number of third-level alarms. The range standard can be set with the corresponding label according to the number of single occurrences or the number of combined occurrences of the first-level alarms, the second-level alarms, and the third-level alarms. Taking the label including four label values ​​of 0, 1, 2, and 3 as an example, the larger the label number, the more abnormal it is. Taking the label of the alarm indicator as 0 as an example, it means that the number of first-level alarms, the number of second-level alarms, and the number of third-level alarms are all zero (or set to the number of second-level alarms or the number of third-level alarms not exceeding 1 in total), the label of the alarm indicator is 1 and can be set as (the number of third-level alarms is 1-3 or the number of second-level alarms is 1-2 or the number of first-level alarms is 1 or the number of second-level and third-level combined alarms is 2), and the label setting of the range standard can be defined according to the time interval (for example, the time interval T1). The status indicator sets the label of the range standard according to the over-limit status as the indicator feature. The over-limit status includes the corresponding set over-limit level, over-limit data item, and over-limit data range. For example, the communication delay is divided into four levels from 0 to 3 to implement the label setting. If the communication delay is zero, the label is zero. If the communication delay is that no signal is received, the label is 3. The larger the label number, the more abnormal it is.

[0030] S2. According to the three indicator categories of performance indicator, alarm indicator and status indicator, a performance indicator comprehensive label, a status indicator comprehensive label and an alarm indicator comprehensive label are constructed respectively.

[0031] In some embodiments, the performance indicator comprehensive label assigns weights according to the equipment health indicators in the performance indicator category and divides several health level label data. For example, based on big data analysis, the health level of the communication transmission equipment in the performance indicator category is generally used as the median value (corresponding to the medium or good health level) to assign weight reference settings. The alarm indicator comprehensive label assigns weights according to the equipment health indicators in the alarm indicator category and divides several health level label data. The status indicator comprehensive label assigns weights according to the equipment health indicators in the status indicator category and divides several health level label data.

[0032] S3, the hybrid label model first evaluates the operation monitoring data in the operation monitoring database according to the labels of the equipment health indicator range standard, and then classifies and adds them according to the three indicator categories of performance indicator, alarm indicator, and status indicator to obtain the performance indicator evaluation value, alarm indicator evaluation value, and status indicator evaluation value respectively, and then uses the comprehensive label classification of the three indicator categories to obtain the performance indicator health level, alarm indicator health level, and status indicator health level, and calculates the comprehensive health level according to the weights set by the comprehensive labels of the three indicator categories. If the hierarchy of the operation monitoring database in step S1 is stored according to the hierarchy of lines, sites, and equipment units, then the comprehensive health level obtained in step S3 is stored and output in three levels according to lines, sites, and equipment units.

[0033] In some embodiments, the method for obtaining the health level of the performance indicator in step S3 is as follows: all the performance indicator evaluation values ​​in the performance indicator category are counted and the corresponding performance indicator health level is obtained based on the health level label data of the performance indicator comprehensive label according to the weight. The method for obtaining the health level of the alarm indicator in step S3 is as follows: all the alarm indicator evaluation values ​​in the alarm indicator category are counted and the corresponding alarm indicator health level is obtained based on the health level label data of the alarm indicator comprehensive label according to the weight. The method for obtaining the health level of the state indicator in step S3 is as follows: all the state indicator evaluation values ​​in the state indicator category are counted and the corresponding state indicator health level is obtained based on the health level label data of the state indicator comprehensive label according to the weight.

[0034] In some embodiments, the comprehensive health level includes four health levels: excellent, good, medium, and poor. The hybrid label model sets four label levels for the final comprehensive health level: 0 (corresponding to excellent), 1 (corresponding to good), 2 (corresponding to medium), and 3 (corresponding to poor). Figure 2, lists a subway line (including several stations), analyzes the communication equipment at each station, and obtains the health status of each station on the subway line (see Figure 2 The transmission health analysis chart area above the middle position) visualizes the evaluation results of the four health levels of excellent, good, medium and poor according to the distribution stations; Figure 2 The line health is displayed in the upper left corner (get the corresponding health value), and the health level is displayed according to the health level of excellent, good, medium and poor ( Figure 2 Displayed as Excellent).

[0035] like Figure 3 As shown, a rail communication equipment health level assessment system based on a hybrid label method includes a data acquisition module and a hybrid label model: the data acquisition module includes an operation monitoring database, the data acquisition module is used to collect the operation monitoring data of the communication transmission equipment and store it as an operation monitoring database, the operation monitoring database is classified and stored according to the hierarchy, and the lowest level is the equipment unit. The hybrid label model includes a label database, which uses the operation monitoring database to extract and construct equipment health indicators, divides the equipment health indicators into three indicator categories: performance indicators, alarm indicators, and status indicators, and sets range standard labels for each equipment health indicator corresponding to each indicator category and stores them in the label database. The hybrid label model constructs performance indicator comprehensive labels, status indicator comprehensive labels, and alarm indicator comprehensive labels according to the three indicator categories of performance indicators, alarm indicators, and status indicators, and stores them in the label database. The hybrid label model first evaluates the operation monitoring data in the operation monitoring database according to the labels of the equipment health indicator range standard, and then classifies and adds the three indicator categories of performance indicator, alarm indicator and status indicator to obtain the performance indicator evaluation value, alarm indicator evaluation value and status indicator evaluation value respectively. Then, the comprehensive label classification of the three indicator categories is used to obtain the performance indicator health level, alarm indicator health level and status indicator health level. The comprehensive health level is calculated according to the weights set by the comprehensive labels of the three indicator categories.

[0036] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A rail communication equipment health level assessment method based on a hybrid labeling method, characterized in that: The methods include: S1. Collect the operation monitoring data of the communication transmission equipment and store it as an operation monitoring database. The operation monitoring database is classified and stored according to the hierarchy, with the lowest level being the equipment unit; construct a hybrid label model and use the operation monitoring database to extract and construct the equipment health index, divide the equipment health index into three indicator categories: performance index, alarm index, and status index, and set the range standard label for each equipment health index corresponding to each indicator category; the performance index sets the range standard label according to the optical power as the indicator feature, and the optical power includes the first optical power, the current optical power, and the previous optical power; the alarm index sets the range standard label according to the alarm data as the indicator feature, and the alarm data includes the number of first-level alarms, the number of second-level alarms, and the number of third-level alarms; the status index sets the range standard label according to the over-limit status as the indicator feature, and the over-limit status includes the corresponding set over-limit level, over-limit data item, and over-limit data range; S2. According to the three indicator categories of performance indicator, alarm indicator and status indicator, a comprehensive label of performance indicator, a comprehensive label of status indicator and a comprehensive label of alarm indicator are constructed respectively; S3. The hybrid label model first evaluates the operation monitoring data in the operation monitoring database according to the labels of the equipment health indicator range standard, and then obtains the corresponding performance indicator evaluation value, alarm indicator evaluation value, and status indicator evaluation value according to the three indicator categories of performance indicator, alarm indicator, and status indicator. Then, the comprehensive label classification of the three indicator categories is used to obtain the performance indicator health level, alarm indicator health level, and status indicator health level. The comprehensive health level is calculated according to the weights set by the comprehensive labels of the three indicator categories.

2. The method for evaluating the health level of rail communication equipment based on the hybrid labeling method according to claim 1 is characterized in that: In step S1, the data source of the operation monitoring data includes transmission equipment fault data, transmission equipment performance data, transmission equipment status data and transmission equipment historical alarm data.

3. The method for evaluating the health level of rail communication equipment based on the hybrid labeling method according to claim 1 or 2, characterized in that: In step S1, the levels of the operation monitoring database are stored according to the levels of lines, sites, and equipment units; in step S3, the obtained comprehensive health level is stored and output in three levels according to lines, sites, and equipment units.

4. The method for evaluating the health level of rail communication equipment based on the hybrid labeling method according to claim 1 is characterized in that: In step S2, the performance indicator comprehensive label assigns weights according to the equipment health indicators in the performance indicator category and divides the data into several health level labels; the alarm indicator comprehensive label assigns weights according to the equipment health indicators in the alarm indicator category and divides the data into several health level labels; the status indicator comprehensive label assigns weights according to the equipment health indicators in the status indicator category and divides the data into several health level labels.

5. The method for evaluating the health level of rail communication equipment based on the hybrid labeling method according to claim 4 is characterized in that: In step S3, the method for obtaining the performance indicator health level is as follows: all performance indicator evaluation values ​​in the performance indicator category are counted and the corresponding performance indicator health level is obtained based on the health level label data of the performance indicator comprehensive label according to the weight.

6. The method for evaluating the health level of rail communication equipment based on the hybrid labeling method according to claim 4 is characterized in that: In step S3, the method for obtaining the health level of the alarm indicator is as follows: all the alarm indicator evaluation values ​​in the alarm indicator category are counted and the corresponding alarm indicator health level is obtained based on the health level label data of the alarm indicator comprehensive label according to the weight.

7. The method for evaluating the health level of rail communication equipment based on the hybrid labeling method according to claim 4 is characterized in that: In step S3, the method for obtaining the health level of the status indicator is as follows: all the status indicator evaluation values ​​in the status indicator category are counted and the corresponding health level of the status indicator is obtained based on the health level label data of the status indicator comprehensive label according to the weight.

8. The method for evaluating the health level of rail communication equipment based on the hybrid labeling method according to claim 1 is characterized in that: In step S3, the comprehensive health level includes four health levels: excellent, good, medium, and poor.

9. A rail communication equipment health level assessment system based on a hybrid labeling method, characterized in that: It includes a data acquisition module and a hybrid label model: the data acquisition module includes an operation monitoring database, which is used to collect the operation monitoring data of the communication transmission equipment and store it as an operation monitoring database. The operation monitoring database is classified and stored according to the hierarchy, and the lowest level is the equipment unit; the hybrid label model includes a label database, which uses the operation monitoring database to extract and construct equipment health indicators, and divides the equipment health indicators into three indicator categories: performance indicators, alarm indicators, and status indicators. The equipment health indicators corresponding to each indicator category are labeled with range standards and stored in the label database. The performance indicators are labeled with range standards according to the optical power as the indicator feature, and the optical power includes the first optical power, the current optical power, and the previous optical power; the alarm indicators are labeled with range standards according to the alarm data as the indicator feature, and the alarm data includes the number of first-level alarms, the number of second-level alarms, and the number of third-level alarms; The status indicators are labeled with range standards according to the over-limit status as the indicator feature. The over-limit status includes the corresponding set over-limit level, over-limit data item, and over-limit data range; the hybrid label model constructs performance indicator comprehensive labels, status indicator comprehensive labels, and alarm indicator comprehensive labels according to the three indicator categories of performance indicators, alarm indicators, and status indicators, and stores them in the label database; the hybrid label model first evaluates the operation monitoring data in the operation monitoring database according to the labels of the equipment health indicator range standard, and then obtains the corresponding performance indicator evaluation value, alarm indicator evaluation value, and status indicator evaluation value according to the three indicator categories of performance indicators, alarm indicators, and status indicators; then the comprehensive labels of the three indicator categories are used to classify the performance indicator health level, alarm indicator health level, and status indicator health level, and the comprehensive health level is calculated according to the weights set by the comprehensive labels of the three indicator categories.

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