CN107464069B - Method for evaluating health degree of coal mining machine - Google Patents
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Abstract
A coal mining machine health degree evaluation method is characterized in that the coal mining machine health degree is an index reflecting the health state of a coal mining machine, the overall health condition of a coal mining machine system can be indicated in real time by adopting a percentile system, and when the coal mining machine has no fault: health J-Jo-D × (Ty/16+ Tg/16+ Ma/2+ Mt/2+ Fa/5) when the shearer is in the event of a catastrophic failure: health ═ J × 60% × (1-Fm/10) ═ J × (60-6Fm)/100 when the shearer is in the general failure: health ═ J × (1-Fn/20 × 40%) ═ J × (100-2 Fn)/100.
Description
Technical Field
The invention belongs to the technical field of coal mining machine equipment, and particularly relates to a method for evaluating the health degree of a coal mining machine.
Background
The application document with the publication number of CN103527194A discloses a real-time health monitoring and intelligent evaluation system of an electric traction coal mining machine, which is characterized by comprising a coal mining machine, a wireless monitoring device, a crossheading upper computer and an aboveground monitoring center; the coal mining machine in the system belongs to a monitored object, and sensors including a voltage sensor, a current sensor, a temperature sensor, a flow sensor, a pressure sensor, a pose sensor and a vibration sensor are arranged on a machine body of the coal mining machine in a distributed mode to form a left rocker arm monitoring unit, a right rocker arm monitoring unit, a high-voltage control box monitoring unit, a vibration monitoring unit and a machine body periphery monitoring unit, so that the acquisition of running state signals of the coal mining machine is realized; the wireless monitoring device realizes the acquisition of all paths of sensing signals through a wireless transceiver arranged on the coal mining machine, processes the acquired signals and then transmits sample data to the gateway upper computer through a wireless local area network; the wireless monitoring device comprises a communication module, a signal acquisition module and a signal processing module, and the communication module realizes real-time communication with the coal mining machine and the down-the-slot upper computer; the signal acquisition module is used for acquiring the working state information of the coal mining machine in real time; the signal processing module carries out primary processing on the acquired signals;
the gateway upper computer comprises a data analysis module, a map display module, a fault mode database, an alarm display module, a processing scheme module and a communication module, wherein the data analysis module analyzes sample data transmitted by the wireless monitoring device by using the fault mode database to obtain a vibration trend graph, a frequency spectrum graph and a spectrum waterfall graph, and the graphs are displayed on the map display module; comparing the analysis result with the set alarm threshold values of all parameters in the alarm module, judging whether the analysis result exceeds the alarm threshold values, if so, indicating that the corresponding parts have faults, and displaying alarm information; the processing scheme module outputs a processing scheme for the alarm information so as to facilitate maintenance of the coal mining machine; the communication module realizes real-time communication with the wireless monitoring device and the aboveground monitoring center, and meanwhile, the communication module of the gateway upper computer transmits related information to the aboveground monitoring center in an optical fiber transmission mode through the mine industrial Ethernet and the safety barrier;
the aboveground monitoring center comprises a data storage device, a signal analysis module, an expert system, a coal mining machine digital simulation platform, a health degree report module and a communication module, wherein the data storage device is used for storing processed data transmitted by the gateway upper computer for further processing or storing the processed data so as to transmit instructions to the gateway upper computer, and the coal mining machine digital simulation platform can read the data from the data storage device in real time so as to display the working state of the coal mining machine in real time in the coal mining machine digital simulation platform; the signal analysis module can analyze the monitored signal data in real time and evaluate the working state of the coal mining machine; the expert system can give a more comprehensive fault diagnosis result of the coal mining machine by combining the analysis result of the signal analysis module, and can perform more comprehensive reliability analysis; the coal mining machine digital simulation platform establishes a coal mining machine remote simulation digital platform by using a virtual reality technology, and realizes real-time driving simulation of a three-dimensional virtual prototype model of the coal mining machine; the health degree report module can give a coal mining machine health degree analysis report in real time according to the signal analysis result obtained in the signal analysis module and provide a maintenance strategy; the communication module is used for real-time communication with the down-slot upper computer so as to be convenient for rapid instruction transmission;
the fault mode database comprises a component name, a component function, a fault mode name, a fault reason, a fault influence, a severity category, a fault mode harmfulness degree, a fault mode risk priority number and a maintenance strategy;
the expert system is established on the basis of a fault mode database, and provides a reliability analysis method combining fuzzy logic and a Bayesian network by combining the complex working environment of the whole coal mining machine and a plurality of complex and variable influence factors, determines the membership degree of corresponding fault grades by using the fuzzy logic, obtains the fault state and the fault reason of the relevant system of the whole coal mining machine by using forward and backward reasoning of the Bayesian network, and provides a corresponding maintenance strategy.
However, in the above technical solutions, no clear and restrictive definition about the health degree of the coal mining machine is given, so that there is a problem of different standards when evaluating the coal mining machine.
Disclosure of Invention
In the coal mining machine health degree evaluation method of the invention, the health degree of the coal mining machine is an index reflecting the health state of the coal mining machine, and the overall health condition of a coal mining machine system can be indicated in real time by adopting percentage system,
the real-time health calculation formula of the coal mining machine comprises:
when the coal mining machine has no fault:
health degree J-Jo-D × (Ty/16+ Tg/16+ Ma/2+ Mt/2+ Fa/5) (1)
When the shearer is in serious failure:
health degree J × 60% × (1-Fm/10) ═ J × (60-6Fm)/100 (2)
When the shearer is in common fault occurrence:
health ═ J × (1-Fn/20 × 40%) ═ J × (100-2Fn)/100 (3)
The definition of the health degree formula parameters comprises the following steps:
normal usage loss (hours): the content of Ty is not more than Ty,
when the starting time is less than 4 hours and the coal cutting time is less than 1 hour, Ty is 0;
when the coal cutting time is less than 1 hour, Ty is equal to (the hour of starting up on the same day-4)/4;
when the coal cutting time exceeds 1 hour, Ty is the coal cutting hours of the day,
cumulative coal cutting exceeding time (hours) on the same day: tg, the accumulated time when the speed of the traction motor is greater than 0, and the standard time is reduced;
accumulating the motor overload standard exceeding time (hours) on the same day: ma, firstly calculating the standard exceeding time of a single motor (the standard time is subtracted from the accumulated time when the load of the single motor is more than 110%), and then adding the standard exceeding time of all the motors;
accumulating the overheating overproof time (hours) of the motor on the same day: mt, firstly calculating the standard exceeding time of a single motor (the standard time is subtracted from the accumulated time when the temperature of the single motor is greater than 135 ℃), and then adding the standard exceeding time of all the motors;
cumulative shutdown serious fault exceeding times (times) on the same day: fa, number of failures causing shutdown, minus the standard number;
the number of serious faults currently occurring simultaneously: fm, calculating according to 10 faults when more than 10 serious faults occur simultaneously;
number of common faults currently occurring simultaneously: fn, calculating according to 20 when more than 20 common faults occur simultaneously;
yesterday health: jo, initial Jo 100
Health degree of today: j, the number of the first and the second,
the health degree is decreased by the average value D every day, the health degree at the time of factory shipment is defined as 100 points according to the principle that the factory shipment is normally used for 3 years and needs to be overhauled, the health degree after the normal use for 3 years is defined as 50 points, and the health degree decreased by the normal use every day is defined as 0.0457 points which is 50/3/365 points.
Normal use standard of coal mining machine every day:
the starting time is more than 4 hours every day, (the coal cutting time is less than 1 hour, and the coal cutting time is 1 hour after 4 hours of starting);
the coal cutting time is more than 1 hour and less than 16 hours every day, and the coal cutting time is 1 day after every 16 hours;
the average overload time of each motor is less than 1 hour every day, and the average overload time of any motor is 1 day every 2 hours after the overload time of any motor exceeds;
the average overheating time of each motor is less than 1 hour every day, and every 2 hours is calculated for 1 day after any motor exceeds;
the number of times of the shutdown serious faults is less than 5 times every day, and the number of times of the shutdown serious faults is more than 1 day every 5 times;
the faults are classified into serious faults which cause shutdown after occurrence and common faults which only alarm without shutdown after occurrence.
When the health degree of the coal mining machine is 80-100 minutes, the health degree is represented by a blue background word; at 60-80 min, the alarm is represented by an alarm word with a yellow background; when the time is 0-60 min, the time is indicated by a character of 'failure' with a red background.
The health degree index of the invention can indicate the whole health condition of the coal mining machine system in real time. The index is calculated by a set of complex empirical formula according to the accumulated working time of the coal mining machine, the daily fault condition, the overload and overheat time of each motor and other data.
Detailed Description
The coal mining machine health degree index is an index for indicating the health state of the coal mining machine, and the overall health condition of a coal mining machine system can be indicated in real time by adopting a percentile system. The value is calculated by a set of complex empirical formula according to the accumulated working time of the coal mining machine, the daily fault condition, the overload and overheat time of each motor and other data.
Meanwhile, in order to facilitate observation of coal mining machine users, the health degree index is represented by a simple three-color representation method in addition to a percentile representation method, the current health degree state is represented by character blocks at a striking position, when the health degree is 80-100 minutes, the health degree is represented by a 'health' character with a blue background, when the health degree is 60-80 minutes, the health degree is represented by an 'alarm' character with a yellow background, and when the health degree is 0-60 minutes, the health degree is represented by a 'fault' character with a red background.
The health indicator definition includes the following parameters.
Daily decreasing average value D of health degree
According to the principle that the factory needs to be overhauled for 3 years in normal use, the health degree of the factory is defined as 100 points, the health degree of the factory is defined as 50 points after the factory is normally used for 3 years, and the health degree is decreased by D-50/3/365-0.0457 points in normal use every day. Normal use standard of coal mining machine every day:
the starting time is more than 4 hours every day, (the coal cutting time is less than 1 hour, and the coal cutting time is 1 hour after 4 hours of starting)
The coal cutting time is more than 1 hour and less than 16 hours per day. More than 1 day every 16 hours.
The average overload time per motor per day is less than 1 hour. Every 2 hours for 1 day after any motor is exceeded.
The average overheat time per motor per day is less than 1 hour. Every 2 hours for 1 day after any motor is exceeded.
There may be a number of outage-type catastrophic failures less than 5 times per day. More than 1 day for every 5 times.
(the failure is divided into a serious failure which causes the shutdown after the occurrence and a common failure which only alarms without shutdown after the occurrence)
Health degree formula parameter description:
normal usage loss (hours): the content of Ty is not more than Ty,
when the starting time is less than 4 hours and the coal cutting time is less than 1 hour, Ty is 0;
when the coal cutting time is less than 1 hour, Ty is equal to (the hour of starting up on the same day-4)/4;
when the coal cutting time exceeds 1 hour, Ty is the coal cutting hours of the day.
Cumulative coal cutting exceeding time (hours) on the same day: tg, cumulative time when traction motor speed is greater than 0, and standard time is reduced.
Accumulating the motor overload standard exceeding time (hours) on the same day: and Ma, calculating the exceeding time of a single motor (subtracting standard time from the accumulated time of the load of the single motor, which is more than 110%), and then adding the exceeding time of all the motors.
Accumulating the overheating overproof time (hours) of the motor on the same day: mt, calculating out-of-standard time of a single motor (the standard time is subtracted from the accumulated time when the temperature of the single motor is larger than 135 ℃), and then adding the out-of-standard time of all the motors.
Cumulative shutdown serious fault exceeding times (times) on the same day: fa, number of failures that resulted in shutdown, minus the standard number.
The number of serious faults currently occurring simultaneously: fm, and calculating according to 10 when more than 10 serious faults occur simultaneously.
Number of common faults currently occurring simultaneously: fn, calculated as 20 when more than 20 common faults occur simultaneously.
Yesterday health: jo, initial Jo 100
Health degree of today: J.
thus, the real-time health degree calculation formula of the invention is obtained:
when no fault exists:
health degree J-Jo-D × (Ty/16+ Tg/16+ Ma/2+ Mt/2+ Fa/5)
In the occurrence of a serious fault:
health degree of J × 60% × (1-Fm/10) ═ J × (60-6Fm)/100
In the occurrence of a common fault:
health ═ J × (1-Fn/20 × 40%) ═ J × (100-2 Fn)/100.
Claims (1)
1. A coal mining machine health degree evaluation method is characterized in that the coal mining machine health degree is an index reflecting the health state of a coal mining machine, the overall health condition of a coal mining machine system can be indicated in real time by adopting percent system,
the real-time health calculation formula of the coal mining machine comprises:
when the coal mining machine has no fault:
health degree J-Jo-D × (Ty/16+ Tg/16+ Ma/2+ Mt/2+ Fa/5) (1)
When the shearer is in serious failure:
health degree J × 60% × (1-Fm/10) ═ J × (60-6Fm)/100 (2)
When the shearer is in common fault occurrence:
health ═ J × (1-Fn/20 × 40%) ═ J × (100-2Fn)/100 (3)
Wherein, the health degree formula parameters comprise:
normal usage loss (hours): the content of Ty is not more than Ty,
cumulative coal cutting exceeding time (hours) on the same day: a Tg of the polymer (A) to be modified,
accumulating the motor overload standard exceeding time (hours) on the same day: the number of the Ma lines is the same as the number of the Ma lines,
accumulating the overheating overproof time (hours) of the motor on the same day: the number of the Mt and the number of the Mt,
cumulative shutdown serious fault exceeding times (times) on the same day: fa of the number of the first frames,
the number of serious faults currently occurring simultaneously: and (Fm) performing a step of performing Fm,
number of common faults currently occurring simultaneously: the number of the Fn-shaped grooves is Fn,
yesterday health: the flow rate of the water flowing into the Jo,
health degree of today: j, the number of the first and the second,
the health degree is decreased by the average value D every day,
the definition of the health degree formula parameters comprises the following steps:
normal usage loss (hours): the content of Ty is not more than Ty,
when the starting time is less than 4 hours and the coal cutting time is less than 1 hour, Ty is 0;
when the coal cutting time is less than 1 hour, Ty is equal to (the hour of starting up on the same day-4)/4;
when the coal cutting time exceeds 1 hour, Ty is the coal cutting hours of the day,
cumulative coal cutting exceeding time (hours) on the same day: tg, the accumulated time when the speed of the traction motor is greater than 0, and the standard time is reduced;
accumulating the motor overload standard exceeding time (hours) on the same day: and Ma, calculating the overload overproof time of a single motor, and adding the overload overproof times of all the motors to obtain the current accumulated overload overproof time Ma of the motor, wherein
The overload standard exceeding time of a single motor is the accumulated time-standard time when the load of the single motor is more than 110%;
accumulating the overheating overproof time (hours) of the motor on the same day: mt, firstly calculating the overheating overproof time of a single motor, and then adding the overheating overproof times of all the motors to obtain the accumulated overheating overproof time Mt of the motor in the same day, wherein
The overheating overproof time of a single motor is the accumulated time-standard time of the temperature of the single motor at more than 135 ℃;
cumulative shutdown serious fault exceeding times (times) on the same day: fa, number of failures causing shutdown, minus the standard number;
the number of serious faults currently occurring simultaneously: fm, calculating according to 10 faults when more than 10 serious faults occur simultaneously;
number of common faults currently occurring simultaneously: fn, calculating according to 20 when more than 20 common faults occur simultaneously;
yesterday health: jo, initial Jo 100
Health degree of today: j, the number of the first and the second,
the health degree is decreased by the average value D every day, according to the principle that the factory is normally used for 3 years and needs to be overhauled, the health degree at the time of factory is defined as 100 points, the health degree after the normal use for 3 years is defined as 50 points, the health degree decreased by the normal use every day is defined as 0.0457 point 50/3/365 point,
normal use standard of coal mining machine every day:
starting up the machine for more than 4 hours every day, and recording the time of cutting coal for 4 hours every time when the time of cutting coal is less than 1 hour as the time of cutting coal containing 1 hour;
the coal cutting time is more than 1 hour and less than 16 hours every day, and the coal cutting time is 1 day after every 16 hours;
the average overload time of each motor is less than 1 hour every day, and the average overload time of any motor is 1 day every 2 hours after the overload time of any motor exceeds;
the average overheating time of each motor is less than 1 hour every day, and every 2 hours is calculated for 1 day after any motor exceeds;
the number of times of the shutdown serious faults is less than 5 times every day, and the number of times of the shutdown serious faults is more than 1 day every 5 times;
the faults are classified into serious faults which cause shutdown after occurrence and common faults which only alarm without shutdown after occurrence,
when the health degree of the coal mining machine is 80-100 minutes, the health degree is represented by a blue background word; at 60-80 min, the alarm is represented by an alarm word with a yellow background; when the time is 0-60 min, the time is indicated by a character of 'failure' with a red background.
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| CN203452792U (en) * | 2013-08-07 | 2014-02-26 | 中国矿业大学 | Real-time monitoring and intelligent evaluation system for health degree of electric traction coal cutter |
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| CN204327190U (en) * | 2014-09-04 | 2015-05-13 | 中国矿业大学(北京) | A kind of coal-winning machine condition monitoring system based on black box |
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