CN117235064A - Intelligent online monitoring method and system for urban rail equipment - Google Patents

Intelligent online monitoring method and system for urban rail equipment Download PDF

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Publication number
CN117235064A
CN117235064A CN202311500657.XA CN202311500657A CN117235064A CN 117235064 A CN117235064 A CN 117235064A CN 202311500657 A CN202311500657 A CN 202311500657A CN 117235064 A CN117235064 A CN 117235064A
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monitoring
point
item
data
measuring
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CN117235064B (en
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王向阳
朵建华
刘懂懂
何宇峰
王业流
何见坤
张大涛
阳亦斌
任颖
彭勤
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Smart Operation Branch Of Ningbo Rail Transit Group Co ltd
Hunan CRRC Times Signal and Communication Co Ltd
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Smart Operation Branch Of Ningbo Rail Transit Group Co ltd
Hunan CRRC Times Signal and Communication Co Ltd
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    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

Abstract

The invention discloses an intelligent on-line monitoring method, medium and system for urban rail equipment, wherein the method comprises the following steps: 1) Acquiring and analyzing real-time data of urban rail equipment; 2) Comparing the monitoring equipment and the measuring points with the existing monitoring equipment and measuring points in the database; 3) Comparing the measured point value of the monitoring equipment with the measured point value in the database; 4) Writing the jump measuring point data into a theme distribution channel; 5) Taking the jump value of the obtained measuring point as an input parameter value, executing a logic expression of the item point to which the measuring point belongs, and calculating to obtain the value of the item point to which the measuring point belongs; 6) Pushing the topic item point information to a monitoring topic page; 7) And acquiring the primitive node elements associated with the corresponding item points, setting item point values for the primitive node elements associated with the item points, and realizing the dynamic display of the monitoring item point values on the corresponding primitives of the graphic page. The invention improves the processing capacity of the system, reduces the pushing pressure of the front end of the real-time data and realizes millisecond-level real-time data on-line monitoring.

Description

Intelligent online monitoring method and system for urban rail equipment
Technical Field
The invention mainly relates to the technical field of urban rail transit, in particular to an intelligent online monitoring method and system for urban rail equipment.
Background
Urban rail transit is taken as a traffic mode with high passenger capacity, high speed and high green environmental protection level in a modern traffic system, the passenger capacity is up to millions of people each day, and along with the expansion of operation scale, an intelligent urban rail vehicle operation and maintenance scheme is needed to be adopted to realize the real-time monitoring of the key system and the part operation state of an urban rail train in order to ensure the safe and reliable operation of a line and avoid the occurrence of safety accidents. However, urban rail transit is a complex system, and relates to a plurality of systems such as vehicles, signals, power supply, communication and the like, and comprises a plurality of subsystems and product components, and the on-line monitoring equipment data has the characteristics of multiple variables, short period, small change, strong timeliness and the like, so that higher requirements are put forward on the monitoring performance of the system.
The traditional monitoring mode is to write real-time data into a relational database, and the monitoring page periodically inquires the latest data in the relational database to realize monitoring display.
The front-end monitoring graphic element and the monitoring data in the traditional monitoring mode are strongly bound in a code mode, and when the monitoring logic changes or the monitoring graphic element is newly added, the monitoring logic and the front-end code need to be modified and adjusted, so that the maintenance is complex.
In addition, the industrial equipment has high data acquisition frequency and more point positions, so that the data volume is large, and the required data storage space is large. When the number of monitoring devices increases, the data volume and the storage space will increase linearly, and the traditional relational database has limited storage space and low efficiency in querying, searching and calculating the historical data.
The traditional monitored item point (monitoring point position) value is obtained by writing a code according to a business logic rule, when the monitoring logic changes or the monitoring item point is newly added, the operation logic code of the monitoring point position value needs to be modified, the code maintenance workload is increased, and business change or business expansion is not facilitated.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: aiming at the technical problems existing in the prior art, the invention provides an intelligent online monitoring method and system for urban rail equipment, which are used for improving the processing capacity of the system, reducing the pushing pressure of the front end of real-time data and realizing millisecond-level online monitoring of real-time data.
In order to solve the technical problems, the technical scheme provided by the invention is as follows:
an intelligent on-line monitoring method for urban rail equipment comprises the following steps:
1) Acquiring and analyzing real-time data of various urban rail devices, and writing the analyzed data into a data analysis channel of the message middleware according to a standard format;
2) Comparing the monitoring equipment and the measuring points in the data analysis channel with the modeled monitoring equipment and the modeled measuring points in the database; if the monitoring equipment and the measuring point are configured in the database, writing the values of the monitoring equipment and the measuring point into a data cleaning channel of the message middleware;
3) Comparing the measured point value of the monitoring equipment in the data cleaning channel with the modeled measured point value of the monitoring equipment in the database; if the two measuring point values are different, the measuring point value of the monitoring equipment in the database is updated to the measuring point value of the monitoring equipment in the data cleaning channel, and the changed measuring point and measuring point value of the monitoring equipment are written into a jump channel of the memory database;
4) The method comprises the steps of obtaining jump measurement point data of a jump channel of a memory database, and writing the jump measurement point data into a theme distribution channel corresponding to the memory database according to a standard format; the jump measuring point data are measuring points and measuring point values of the changed monitoring equipment;
5) According to the association relation of the topics, the item points and the measuring points, a thread is established for each topic to monitor a corresponding topic distribution channel in the memory database, jump data of the item point association measuring points are obtained, the jump values of the obtained measuring points are used as input parameter values, a logical expression of the item points to which the measuring points belong is executed, the item point values to which the calculating is carried out, and the item point values are written into a front end subscription channel of the memory database;
6) The front-end subscription channel pushes corresponding topic item point information to a monitoring topic page; the subject item point information comprises item point values;
7) The monitoring topic page traverses each piece of topic item point information, acquires the primitive node elements associated with the corresponding item points, sets item point values for the primitive node elements associated with the item points, and realizes the dynamic display of the monitoring item point values on the corresponding primitives of the graph page.
Preferably, in step 7), drawing the graphic page, configuring the number of the monitoring graphic, forming a file in a preset format for graphic monitoring after configuration is completed, and downloading the file to the monitoring theme page for display.
Preferably, in step 7), the monitoring item point ID is bound in the graph, the monitoring item point value is pushed to a designated primitive of the graph page through the data packet driver and the graph driver, and the item point value is rendered to the corresponding primitive according to the configured rule.
Preferably, the predetermined format file is an SVG file.
Preferably, the jump measurement point data in the step 4) is synchronously written into the time sequence database while being written into the theme distribution channel corresponding to the memory database; and step 5), writing the entry point value in the step 5) into the front-end subscription channel of the internal database, and synchronously writing into the time sequence database.
Preferably, in step 5), the logic expression is a defined set of logic operation rule running fragments, the rule receiving one or more measurement point values as input parameters, and obtaining an output value by performing logic operation on the received measurement point values.
The invention also discloses a computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, performs the steps of the method as described above.
The invention further discloses an intelligent online monitoring system of urban rail equipment, which comprises a memory and a processor which are connected with each other, wherein the memory is stored with a computer program which executes the steps of the method when being run by the processor.
Compared with the prior art, the invention has the advantages that:
1. according to the invention, the monitoring data is processed by adopting a monitoring data storage and monitoring data real-time pushing display separation mode, the data storage and the data real-time pushing are asynchronously executed by adopting different threads, after the data pushing threads read the collected monitoring data from the message middleware, the measurement point values are analyzed, calculated and processed in the memory database, the processed results are written into the release channel of the memory database, the monitoring values are directly pushed to the front-end monitoring display page by the memory database, and the access operation is not carried out on the relational database, so that the performance of the system is improved; and for the condition that the measured point values received at the front time point and the rear time point are not changed, only the received data are stored, and the operation and the push front end processing are not carried out in the memory database, so that the processing capacity of the system is improved, the push pressure of the front end of the real-time data is reduced, and the online monitoring of millisecond-level real-time data is realized. The invention processes and displays the monitoring data by means of the message middleware and the real-time data processing engine, replaces the storage, reading, analyzing and displaying of the data, realizes that the system can update the current latest values of all measuring points to the monitoring effect displayed at the front end in real time in one data receiving period under the conditions of high frequency and large data volume, and has the receiving, processing and monitoring displaying capability of millisecond and data.
2. The invention develops a logical expression computing engine, the computing logic of the item point value is realized by configuring an expression, the item point value is obtained by computing in the logical expression of the item point which is transmitted by taking the received measurement point value as a parameter, when the item point service rule is changed or the item point type is increased, the item point computing logical expression or the newly increased item point computing logical expression is only required to be modified in configuration, software codes are not required to be modified, and the invention has simple maintenance and flexibility and expansibility.
3. The invention adopts SVG to draw configuration graph, binds the monitoring item point ID in the graph, pushes the monitoring item point value to the appointed graphic element of the front graph through data packet driving and graph driving, and renders the item point value to the graphic element according to the configuration rule, so that the monitoring item point is increased or the monitoring theme is increased, only the theme item point and the SVG configuration graph are required to be configured, software codes are not required to be modified, and the expansion is easy. That is, the graphic of the monitoring subject and the monitoring item point are bound in a configuration mode, rather than in a code mode, so that decoupling of the graphic element and the item point is realized, when the service is laterally expanded and the monitoring subject is added, only the monitoring graphic element and the item point of the graphic element is required to be drawn and configured in the database, and the expansion force of the system is enhanced.
4. The invention adopts a tree structure to define a data mode, names a time sequence by using a path from a ROOT node to a leaf node, wherein the time sequence comprises a time stamp and data points, takes a monitoring data measuring point as the time sequence, and takes a measuring point value of the time stamp as the data point. When inserting data, the time stamp columns of a group of alignment sequences need to be stored only once in the memory and the disk, rather than once per time sequence; when querying data, the data can be queried separately for each time series.
5. According to the invention, the time sequence database is adopted to replace the traditional relational database and NoSQL database, so that the writing and inquiring efficiency of the time sequence data of the industrial equipment is obviously improved, the time sequence data is improved from the minute level to the second level, and better user experience is brought; the time sequence database is adopted to store based on columns, so that the storage space is reduced, the data storage capacity is improved, and the requirement of continuous increase of the data capacity can be met.
Drawings
FIG. 1 is a flow chart of a monitoring method according to an embodiment of the invention.
Fig. 2 is a timing chart of a real-time pushing process of data in the present invention.
FIG. 3 is a flow chart of a graphical configuration design in the present invention.
Detailed Description
The invention is further described below with reference to the drawings and specific examples.
As shown in fig. 1, the intelligent online monitoring method for urban rail equipment according to the embodiment of the invention comprises the following steps:
1) Data acquisition and analysis process
Based on the agreed communication protocol, real-time data acquisition and analysis of various industrial equipment in urban rail are realized, the analyzed data are written into a data analysis channel (agreed as dtu channel) of the message middleware according to the JSON format, and a unified standardized data format is provided for subsequent data cleaning.
The data format of the writing message middleware is as follows: "{ time: value, system: value, monitoring device number: measurement point 1: value, monitoring device number: measurement point 2: value, monitoring device number: measurement point 3: value }";
the KEY format of JSON is: measuring points, wherein Value is the analyzed measuring point Value; the JSON object contains data time, monitoring equipment and monitoring point real-time values. Data samples are for example:
{"lineCode":"003","sysType":"DCS","HQZS13SW02_P4.isUse":"-1","HQZS13SW02_P4.speedState":"-1","stamp":"2023-06-09 14:23:00:028","HQZS13SW02_P4.linkState":"-1","HQZS13SW02_P4.portState":"-1"}。
2) Data cleaning process
Monitoring output values in a data analysis channel (dtu channel) in real time, and comparing monitored equipment and measuring points with modeled monitoring equipment and measuring points (equipment and state points needing to be monitored in real time) in a database; if the monitoring equipment and the measuring point are configured in the database, the monitored monitoring equipment and the monitored measuring point value is written into a data cleaning channel (appointed as a dtd channel) of the message middleware; wherein the data format written into the dtd channel is the same as the data format written into the dtu channel.
Since the status code (good, fault, to-be-measured, etc.) values of the status points of each industrial device agreed in the communication protocol may not be uniform, it is necessary to determine whether the measurement point value to be written into the dtd channel needs to be systematic or not. And for the measuring points needing to be subjected to systematic codes, the received measuring point values are subjected to systematic codes as standard code bit values configured in a database, and then the standard code bit values are written into a dtd channel.
3) Data hopping processing
3.1, caching monitoring equipment and measuring points modeled in a database, and giving initial values;
3.2, monitoring a data cleaning channel (dtd channel) of the message middleware, reading a measuring point value (JSON format) of the monitoring equipment in the dtd channel, and comparing the read measuring point value of the monitoring equipment with the cached measuring point value of the monitoring equipment; if the values are not the same (the station values change), the following process is performed:
3.2.1, updating the cached measuring point value as the monitored measuring point value, and caching jump data (changed measuring point and the latest value thereof);
3.2.2, writing the jump data into a jump channel (appointed as a jump channel) of the memory database according to the JSON format;
the data format written into the memory database is as follows: "{ hop time: value, hop ID: monitoring device number, measurement point number, hop value: value } ", data sample, for example, the following: { "stamp": "2022-11-07:15:39:55:000", "jumpId": "hqzs13sw02_p4.Portstate", "jumpValue": "false" };
3.2.3, inserting jump data into a time sequence database for initializing and reading by a subsequent item point operation service, wherein SQL statement samples are as follows: insert intro root.WCU4149.JsjM9 (time stamp, status) values (1667784720000, '0');
wherein root.WCUATP.WCU4149 is monitoring equipment, jsjM9 is measuring point number, status is time sequence value;
and 3.3, for the measuring points with the participatory item points aligned, writing a jump channel (jump channel) of the memory database and inserting the jump channel into the time sequence database, wherein the measuring point value monitored from the dtd channel is changed or not.
4) Theme distribution process
4.1, inquiring a database to obtain association information of a theme, item points, equipment and measuring points, wherein one theme (system) comprises a plurality of item points (monitoring points), each item point is associated with one or a plurality of measuring points, and association relations of the theme, the item points and the measuring points are configured in the database according to service application requirements;
4.2, subscribing a jump channel (jump channel) of the memory database, acquiring jump measuring point data in the jump channel, and writing the jump measuring point data (belonging subject number, belonging item point number, jump ID (measuring point ID), jump value and time) into a subject distribution channel (tbr channel) corresponding to the memory database according to the JSON format according to the subject, item point and measuring point association relation queried in the database;
the data format of the written topic distribution channel is: { subject number: value, item number: value, jump ID: value, jump value: value, time: value }, data samples such as:
{"lineCode":"003","themeCode":"CS03_HQZ_ZCT_M1","itemCode":"15_LOGSEC_1231","jumpId":"303720a1b52c46b9abdaab292c664ed1","jumpValue":"false","stamp":"2022-11-07 15:39:55:000"}。
5) Point operation processing
5.1, according to the association relation of the topics, the item points and the measuring points, creating a thread for each topic to monitor a corresponding topic distribution channel (tbr channel) in the memory database, acquiring jump data of the item point associated measuring points, taking the jump value of the acquired measuring points as an input parameter value, executing a logic expression (according to a calculation rule written by service logic) of the item points to which the measuring points belong, and calculating to obtain the value of the item points to which the measuring points belong; the output value of the item point can be a basic data type or a character string in a JSON format;
specifically, the punctuation logical expression pattern is, for example, as follows:
str='';color1='';color2='';
if(@1=='1')color1='red';else if(@1=='2')color2='green';
str=str+"{\"signal1-path-fill\":\""+color1+"\",";str=str+"\"signal2-path-fill\":\""+color2+"\"}";return str;
samples of the output entry point value after execution of the entry point arithmetic logic expression are, for example, as follows:
str="{\"signal1-path-fill\":\"red\",\"signal2-path-fill\":\"green\"}";
and 5.2, writing the subject point value obtained by operation into a front subscription channel (front channel) of the memory database according to the JSON format, so that a client monitoring function subscribes to obtain the real-time value of the subject point.
The data format of the front channel is as follows: "{ topic ID: value, item Point operation value: value, item Point time: value } ";
5.3, writing the calculated item point information (time and item point value) into a time sequence database; wherein the device is the subject number, the value is the inode value, the SQL statement sample is for example:
insert intro root.theme.003.cs03_stz_sbf_m2 (Time, X4) values (2022-11-08:24:52,' { "NAME": "signal equipment room 3", "HJWD": "23.68", "HJSD": "54.56" }).
6) Real-time push processing of data
6.1, after entering a monitoring theme page, the client establishes connection with the server according to the theme, manages the connection, and sends heartbeat information to the client at regular time by the server;
6.2, after the topic connection is established, subscribing a front subscription channel (front channel) of the memory database, and establishing topic point monitoring;
6.3, when the data service pushes new data to the front channel of the memory database, the server monitors the topic message and pushes real-time data in the front channel to a client (monitoring topic page) for establishing connection according to connection management;
the real-time pushing processing time sequence of the data is shown in fig. 2.
7) Monitoring page rendering processing
After the monitoring subject (graphic page) of the client receives the subject item point list information pushed by the front channel of the memory database, each item point information record (JSON character string consisting of item point ID, item point value, time and rendering mode) in the item point list is circularly traversed, the primitive node elements associated with the item point are obtained through the item point ID number in the monitoring subject graphic, the item point value is set (acted) for the primitive node elements associated with the item point according to the rendering mode (operations such as filling, revealing, animation, setting value, contour setting and the like) of the item point, and the dynamic display of the monitoring item point value on the corresponding primitive of the graphic page is realized.
As shown in fig. 3, the graphic configuration technical scheme is divided into three parts, namely configuration making, configuration issuing and configuration running, and specifically comprises the following steps:
and (3) configuration manufacturing: the configuration graphics uses SVG format, and adopts general graphics to draw VISIO tool to draw signal monitoring interface, after drawing is completed, the signal monitoring interface is stored as SVG format file, then the number of monitoring graphics (unique number component: line number, theme, equipment type, monitoring dimension, equipment number) is configured by means of Chrome developer tool, and after configuration, the SVG file for graphic monitoring is formed. Of course, the front-end SVG configuration graphics may be replaced by other configuration tool drawing.
And (3) configuration release: the configuration release component allows operation and maintenance personnel to upload the SVG file monitored by the manufactured graph to a server and conduct service classification indexing on the SVG file. The system foreground can download the index condition to the monitoring theme interface for display.
Configuration operation: the operation of the configuration is divided into a signal data driving component and a foreground graph driving scheme. The signal data driving component mainly provides normal connection service for system terminals, is realized by adopting a Websocket-server technology, and has the functions of connection management (1 system terminal can establish a plurality of connections according to a monitoring subject interface) and data driving (monitoring signal data in the topics in Redis in real time, classifying and pushing the signal data into corresponding terminal connections). The foreground graphic driving scheme consists of a Websocket-client module, a theme control graphic package module and a monitoring interface loading module. The Websocket-client module allows the topic monitoring interface to open or close a connection. The theme control graphic package module has the functions of animation display and event of the theme graphic. The monitoring interface loading module is provided with the function of acquiring the SVG file of the monitoring graph from the configuration issuing component and dynamically switching the graph of the interface.
The invention adopts SVG to draw configuration graph, binds the monitoring item point ID in the graph, pushes the monitoring item point value to the appointed graphic element of the front graph through data packet driving and graph driving, and renders the item point value to the graphic element according to the configuration rule, so that the monitoring item point is increased or the monitoring theme is increased, only the theme item point and the SVG configuration graph are required to be configured, software codes are not required to be modified, and the expansion is easy. That is, the graphic of the monitoring subject and the monitoring item point are bound in a configuration mode, rather than in a code mode, so that decoupling of the graphic element and the item point is realized, when the service is laterally expanded and the monitoring subject is added, only the monitoring graphic element and the item point of the graphic element is required to be drawn and configured in the database, and the expansion force of the system is enhanced.
According to the invention, the monitoring data is processed by adopting a monitoring data storage and monitoring data real-time pushing display separation mode, the data storage and the data real-time pushing are asynchronously executed by adopting different threads, after the data pushing threads read the collected monitoring data from the message middleware, the measurement point values are analyzed, calculated and processed in the memory database, the processed results are written into the release channel of the memory database, the monitoring values are directly pushed to the front-end monitoring display page by the memory database, and the access operation is not carried out on the relational database, so that the performance of the system is improved; and for the condition that the measured point values received at the front time point and the rear time point are not changed, only the received data are stored, and the operation and the push front end processing are not carried out in the memory database, so that the processing capacity of the system is improved, the push pressure of the front end of the real-time data is reduced, and the online monitoring of millisecond-level real-time data is realized. The invention processes and displays the monitoring data by means of the message middleware and the real-time data processing engine, replaces the storage, reading, analyzing and displaying of the data, realizes that the system can update the current latest values of all measuring points to the monitoring effect displayed at the front end in real time in one data receiving period under the conditions of high frequency and large data volume, and has the receiving, processing and monitoring displaying capability of millisecond and data.
The invention develops a logical expression computing engine, the computing logic of the item point value is realized by configuring an expression, the item point value is obtained by computing in the logical expression of the item point which is transmitted by taking the received measurement point value as a parameter, when the item point service rule is changed or the item point type is increased, the item point computing logical expression or the newly increased item point computing logical expression is only required to be modified in configuration, software codes are not required to be modified, and the invention has simple maintenance and flexibility and expansibility.
The invention adopts a tree structure to define a data mode, names a time sequence by using a path from a ROOT node to a leaf node, wherein the time sequence comprises a time stamp and data points, takes a monitoring data measuring point as the time sequence, and takes a measuring point value of the time stamp as the data point. When inserting data, the time stamp columns of a group of alignment sequences need to be stored only once in the memory and the disk, rather than once per time sequence; when querying data, the data can be queried separately for each time series.
According to the invention, the time sequence database is adopted to replace the traditional relational database and NoSQL database, so that the writing and inquiring efficiency of the time sequence data of the industrial equipment is obviously improved, the time sequence data is improved from the minute level to the second level, and better user experience is brought; the time sequence database is adopted to store based on columns, so that the storage space is reduced, the data storage capacity is improved, and the requirement of continuous increase of the data capacity can be met.
The invention also discloses a computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, performs the steps of the method as described above. The invention further discloses an intelligent online monitoring system of urban rail equipment, which comprises a memory and a processor which are connected with each other, wherein the memory is stored with a computer program which executes the steps of the method when being run by the processor. The media and system of the present invention, corresponding to the methods described above, also have the advantages described above.
Interpretation of related terms:
measuring points: the analysis program analyzes and disassembles the acquired binary data into a minimum unit with business meaning and a value thereof according to a communication protocol format, the minimum unit formed by disassembling according to the protocol is called a measuring point, the measuring point and the value thereof are expressed in a key: value form, a key part is a measuring point name, and the measuring point name consists of a monitoring equipment number and an attribute, and the sample is as follows: p1407.pjb is a measurement point, wherein PJB is a measurement point number, and P1407 is a monitoring device number.
Item points: the monitoring equipment is obtained by performing defined logical expression operation on the values of one or more measuring points in a monitoring and displaying point of a monitoring interface, which is called a term point.
Subject matter: one subsystem to be monitored is called a topic, which contains multiple monitoring points (item points).
Jump data: the change of the value of the same measuring point is called data jump, and the measuring point with the changed value and the value thereof are called jump data.
Item point alignment: the value of one item point is obtained by combining and calculating the values of a plurality of measuring points, and the values of the measuring points which participate in calculation are required to be the same time sequence value, namely the acquisition time of the measuring point values is the same, and the item point alignment is called.
And (3) code unifying: because the values defined for the same state code (good, fault, to be detected and the like) are inconsistent in the communication protocols of different monitoring devices, the same state code is defined for defining a unified code bit value in the system, and the process of converting the acquired measuring point value into the unified code bit value in the system is called as a systematic code, so that the unified monitoring processing of the state value by the monitoring terminal is facilitated.
The above is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above examples, and all technical solutions belonging to the concept of the present invention belong to the protection scope of the present invention. It should be noted that modifications and adaptations to the invention without departing from the principles thereof are intended to be within the scope of the invention as set forth in the following claims.

Claims (8)

1. An intelligent online monitoring method for urban rail equipment is characterized by comprising the following steps:
1) Acquiring and analyzing real-time data of various urban rail devices, and writing the analyzed data into a data analysis channel of the message middleware according to a standard format;
2) Comparing the monitoring equipment and the measuring points in the data analysis channel with the modeled monitoring equipment and the modeled measuring points in the database; if the monitoring equipment and the measuring point are configured in the database, writing the values of the monitoring equipment and the measuring point into a data cleaning channel of the message middleware;
3) Comparing the measured point value of the monitoring equipment in the data cleaning channel with the modeled measured point value of the monitoring equipment in the database; if the two measuring point values are different, the measuring point value of the monitoring equipment in the database is updated to the measuring point value of the monitoring equipment in the data cleaning channel, and the changed measuring point and measuring point value of the monitoring equipment are written into a jump channel of the memory database;
4) The method comprises the steps of obtaining jump measurement point data of a jump channel of a memory database, and writing the jump measurement point data into a theme distribution channel corresponding to the memory database according to a standard format; the jump measuring point data are measuring points and measuring point values of the changed monitoring equipment;
5) According to the association relation of the topics, the item points and the measuring points, a thread is established for each topic to monitor a corresponding topic distribution channel in the memory database, jump data of the item point association measuring points are obtained, the jump values of the obtained measuring points are used as input parameter values, a logical expression of the item points to which the measuring points belong is executed, the item point values to which the calculating is carried out, and the item point values are written into a front end subscription channel of the memory database;
6) The front-end subscription channel pushes corresponding topic item point information to a monitoring topic page; the subject item point information comprises item point values;
7) The monitoring topic page traverses each piece of topic item point information, acquires the primitive node elements associated with the corresponding item points, sets item point values for the primitive node elements associated with the item points, and realizes the dynamic display of the monitoring item point values on the corresponding primitives of the graph page.
2. The intelligent online monitoring method of urban rail equipment according to claim 1, wherein in step 7), drawing of a graphic page is performed first, then a number of a monitoring graphic is configured, a predetermined format file of graphic monitoring is formed after configuration is completed, and then the file is downloaded to a monitoring subject page for display.
3. The intelligent online monitoring method of urban rail equipment according to claim 2, wherein in step 7), the monitoring item point ID is bound in the graph, the monitoring item point value is pushed to a designated graphic element of the graph page through a data packet driver and a graph driver, and the item point value is rendered to a corresponding graphic element according to a configured rule.
4. The intelligent on-line monitoring method for urban rail equipment according to claim 3, wherein the predetermined format file is an SVG file.
5. The intelligent online monitoring method of urban rail equipment according to any one of claims 1-4, wherein the jump point data in step 4) is synchronously written into the time sequence database while being written into the topic distribution channel corresponding to the memory database; and step 5), writing the entry point value in the step 5) into the front-end subscription channel of the internal database, and synchronously writing into the time sequence database.
6. The intelligent on-line monitoring method according to any one of claims 1 to 4, wherein in step 5), the logic expression is a defined set of logic operation rule running segments, the rule receives one or more measurement point values as input parameters, and an output value is obtained by performing a logic operation on the received measurement point values.
7. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, performs the steps of the method according to any one of claims 1-6.
8. An intelligent on-line monitoring system for urban rail equipment, comprising a memory and a processor connected to each other, the memory having stored thereon a computer program, characterized in that the computer program, when being executed by the processor, performs the steps of the method according to any of claims 1-6.
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