CN108458887B - Fault self-diagnosis system and method of equipment - Google Patents
Fault self-diagnosis system and method of equipment Download PDFInfo
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- CN108458887B CN108458887B CN201810095458.8A CN201810095458A CN108458887B CN 108458887 B CN108458887 B CN 108458887B CN 201810095458 A CN201810095458 A CN 201810095458A CN 108458887 B CN108458887 B CN 108458887B
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M99/00—Subject matter not provided for in other groups of this subclass
- G01M99/005—Testing of complete machines, e.g. washing-machines or mobile phones
Abstract
A fault self-diagnosis system and method of a device, the method comprising the steps of: acquiring working environment information, working intensity information and use duration of equipment to be diagnosed; obtaining equipment loss coefficients K under different working environments and equipment loss coefficients D under different working strengths through tests; calculating to obtain a loss value S of the equipment according to the equipment loss coefficient K in the current working environment, the equipment loss coefficient D in the current working intensity and the service time t under the condition; and comparing the obtained loss value with a set value, and prompting if the obtained loss value is larger than the set value. The invention also comprises a fault self-diagnosis system of the equipment. The invention can maintain and replace the equipment in advance, prevent accidents in the bud, greatly prolong the service life of the equipment, reduce unplanned fault shutdown and ensure long-period stable operation of the system.
Description
Technical Field
The invention relates to the field of equipment systems, in particular to a fault self-diagnosis system and method of equipment.
Background
The existing equipment fault detection is generally processed and monitored by using a PLC (programmable logic controller), the PLC confirms the running state of a system by reading the detection information of a sensor and carrying out a series of logic judgments, and corresponding emergency measures are taken after abnormity occurs. However, the method is only limited to processing after the fault occurs, and the equipment cannot be maintained and replaced in advance, so that the service life and the working efficiency of the equipment are greatly reduced.
Disclosure of Invention
The present invention is directed to overcoming the above-mentioned deficiencies of the prior art and providing a system and method for fault self-diagnosis of devices having a long service life and a long cycle time.
The technical scheme of the invention is as follows:
the invention relates to a fault self-diagnosis method of equipment, which comprises the following steps:
s1, acquiring the working environment information, the working strength information and the service life of the equipment to be diagnosed;
s2: obtaining equipment loss coefficients K under different working environments and equipment loss coefficients D under different working strengths through tests;
s3: calculating to obtain a loss value S of the equipment according to the equipment loss coefficient K in the current working environment, the equipment loss coefficient D in the current working intensity and the service time t under the condition;
and S4, comparing the obtained loss value with a set value, and if the obtained loss value is larger than the set value, prompting.
Further, the loss value S is obtained by the following formula:
S(t)=S(t0) + K × D × t formula, S (t)0) Is the initial loss value.
Further, in step S1, the acquiring of the operating environment information includes the following steps: the sensor which has great influence on loss is used for detecting in real time through at least one of environment detection sensors such as temperature, humidity, pressure, flow and the like, and the working environment data is transmitted to the controller.
Further, in step S1, the usage duration obtaining includes the steps of: and the timing unit is used for timing the equipment in the working process in real time and transmitting timing data to the controller.
Further, in step S1, the operation intensity information is obtained by detecting at least one of the operation degree, the rotational speed, and the power of the device using a corresponding sensor.
Further, the equipment to be diagnosed is power equipment or switch equipment.
The invention relates to a fault self-diagnosis system of equipment, comprising:
the environment detection sensor is used for detecting the working environment of the equipment to be diagnosed, such as temperature, humidity, pressure, flow and the like;
the timing unit is used for obtaining the working service duration of the equipment to be diagnosed;
the controller is used for calculating and obtaining a loss value S of the equipment according to the obtained equipment loss coefficient K under the current working environment, the obtained equipment loss coefficient D under the current working intensity and the obtained service life t under the condition; and comparing the obtained loss value with a set value, and controlling a prompting unit to prompt if the obtained loss value is larger than the set value.
Further, the controller is a PLC controller or an embedded chip.
Further, the prompting unit is at least one of an alarm, a voice prompter, an LED prompting lamp or a display screen.
Further, the timing unit is an additional timer or a timing chip carried in the controller.
The invention has the beneficial effects that: the comprehensive analysis of the working condition information of the conveying station can prevent the fault of the equipment of the conveying station according to different working conditions, enhance the working stability of the conveying station and reduce the fault occurrence rate. When a fault occurs, emergency measures are quickly taken, the response speed of fault processing is increased, and the loss caused by the fault is reduced.
Detailed Description
The present invention will be described in further detail with reference to specific examples.
A fault self-diagnosis method of an apparatus, comprising the steps of:
and S1, acquiring the working environment information, the working strength information and the use duration of the equipment to be diagnosed.
Specifically, the equipment to be diagnosed may be switching equipment, such as an electric valve, a relay, a switch, etc.; or power equipment such as a motor, a generator, a hydraulic cylinder, a cylinder and the like.
The acquisition of the working environment information comprises the following steps: different environmental sensors are selected according to different devices. For example, when the equipment is an electric valve, a flow metering sensor which has great influence on the loss of the electric valve is selected for detection, the flow passing through the electric valve is detected in real time by the flow metering sensor, and flow data is transmitted to the controller; for example, when the device is a motor, the working temperature of the motor is detected in real time through the temperature sensor, and the working temperature data is transmitted to the controller.
The acquisition of the use duration comprises the following steps: timing equipment in the working process in real time through a timing unit, and transmitting timing data to a controller; wherein the timing unit can be an additional timer or a timing chip carried in the controller. The embodiment mainly obtains the usable time of the equipment in operation, and the time of the equipment in a non-operating state is negligible.
The operation intensity information is operation information of the device during operation. For example, when the device is an electric valve, the valve opening degree is acquired through the valve opening sensor, and the valve opening degree data is transmitted to the controller. For example, when the device is a motor, the engine speed is obtained through an engine speed sensor, and the speed data is transmitted to the controller.
S2: and obtaining the equipment loss coefficients K under different working environments and the equipment loss coefficients D under different working strengths through tests.
For example, motor oil: the working environment factor influencing the loss of the motor lubricating oil is temperature, and the working intensity factor is rotating speed. Assuming that the temperature is 25 ℃ and the rotating speed is 1000r/min, the standard working state is that K =1 and D = 1. Firstly, obtaining the service life T (T is the maximum loss value) of the lubricating oil under the conditions of 25 ℃ and 1000r/min through tests; and secondly, obtaining the usable time length T1 of the lubricating oil at 30 ℃ and 1000r/min, obtaining the loss coefficient K = T1 ÷ T at 30 ℃, and obtaining the environmental loss coefficient K at 1000r/min at other temperatures in the same way. The usable time length T2 of the lubricating oil at 25 ℃ and 1500r/min is obtained again, the loss coefficient D = T2 ÷ T at 1500r/min is obtained, and the strength loss coefficient D at 25 ℃ and other rotating speeds is obtained in the same way.
S3: and the controller calculates a loss value S of the equipment according to the equipment loss coefficient K in the current working environment, the equipment loss coefficient D in the current working intensity and the service life t under the condition. The environment and the intensity do not interfere with each other under normal conditions, namely the total loss coefficient can be represented by an environment loss coefficient K multiplied by an intensity loss coefficient D.
Wherein, the calculation formula of the loss value S is as follows: s (t) = S (t)0)+K×D×t。
In the formula, S (t)0) Is the initial loss value. And S (t) is the loss value of the equipment after the environmental loss coefficient is K, the intensity loss coefficient is D and the operation time is t.
And S4, comparing the obtained loss value with a set value, and if the obtained loss value is larger than the set value, prompting.
Specifically, taking the motor lubricating oil as an example, the controller compares the obtained loss value with a set value T, and if the current loss value is greater than the set value T, the controller controls the alarm to give an early warning to notify personnel of the coming maintenance or replacement. And maintenance items can be displayed through the display screen, so that workers can know the maintenance items conveniently.
In this embodiment, the controller may be a PLC controller or an embedded chip, and the type of the controller is not specifically limited in the present invention.
Because the equipment is used and abraded differently under different working environments and working strengths, the invention carries out early warning self diagnosis according to the use duration, the working environments and the working strengths of the equipment, can change the after maintenance of the equipment into the before maintenance, carries out maintenance and replacement on the equipment in advance, prevents accidents in the bud, greatly prolongs the service life of the equipment, reduces unplanned fault shutdown and ensures the long-period stable operation of the system.
Claims (7)
1. A method of fault self-diagnosis of an apparatus, characterized by comprising the steps of:
s1, acquiring the working environment information, the working strength information and the service life of the equipment to be diagnosed; the acquisition of the working environment information comprises the following steps: detecting the working environment of the equipment to be diagnosed in real time through at least one environment detection sensor, and transmitting the working environment data to a controller; the use duration acquisition includes: timing equipment in the working process in real time through a timing unit, and transmitting timing data to a controller;
s2: obtaining equipment loss coefficients K under different working environments and equipment loss coefficients D under different working strengths through tests; the method specifically comprises the following steps: setting a plurality of factors influencing the loss working environment and working intensity as working environment factors and working intensity factors, setting the specific states of the working environment factors and the working intensity factors as a standard working state, K =1 and D =1, obtaining the usable time T in the standard working state through tests, changing the numerical value of the working environment factors in the factors to obtain the usable time T1, then changing the loss coefficient K = T1/T under the working environment factor condition, similarly changing the numerical value of the working intensity factors in the factors to obtain the usable time T2, then changing the loss coefficient D = T2/T under the working intensity factor condition;
s3: calculating to obtain a loss value S of the equipment according to the equipment loss coefficient K in the current working environment, the equipment loss coefficient D in the current working intensity and the service time t under the condition; the loss value S is obtained by the following formula: s (t) = S (t)0) + K × D × t, where S (t)0) Is an initial loss value;
and S4, comparing the obtained loss value with a set value, and if the obtained loss value is larger than the set value, prompting.
2. The method of self-diagnosing a failure of an apparatus according to claim 1, wherein the operation intensity information is obtained by detecting at least one of the operation degree, the rotational speed, and the power of the apparatus using corresponding sensors in step S1.
3. The fault self-diagnosis method of an apparatus according to claim 1 or 2, characterized in that the apparatus to be diagnosed is a power apparatus or a switchgear.
4. A fault self-diagnosis system of an apparatus, characterized by comprising:
the environment detection sensor is used for detecting the working environment of the equipment to be diagnosed;
the timing unit is used for obtaining the working service duration of the equipment to be diagnosed;
at least one intensity detection sensor for detecting the working intensity of the equipment to be diagnosed;
the controller is used for calculating and obtaining a loss value S of the equipment according to the obtained equipment loss coefficient K under the current working environment, the obtained equipment loss coefficient D under the current working intensity and the obtained service life t under the condition; and comparing the obtained loss value with a set value, and controlling a prompting unit to prompt if the obtained loss value is larger than the set value.
5. The system of self fault diagnosis of equipment according to claim 4, wherein the controller is a PLC controller or an embedded chip.
6. The system of self fault diagnosis of equipment according to claim 4 or 5, wherein the prompting unit is at least one of an alarm, a voice prompter, an LED prompting lamp or a display screen.
7. The system of self fault diagnosis of the device according to claim 4 or 5, wherein the timing unit is an additional timer or a self-contained timing chip in the controller.
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| CN201810095458.8A CN108458887B (en) | 2018-01-31 | 2018-01-31 | Fault self-diagnosis system and method of equipment |
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| CN108458887B true CN108458887B (en) | 2021-04-30 |
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| CN109211555A (en) * | 2018-10-15 | 2019-01-15 | 安徽旭辰达电子科技有限公司 | A kind of holder fault self-diagnosis system |
| CN111025025B (en) * | 2019-11-21 | 2023-03-21 | 广东美的厨房电器制造有限公司 | Method for reminding replacement of electric appliance parts |
| CN114834592B (en) * | 2022-07-04 | 2022-12-02 | 广东工业大学 | Control method and device for large cable mooring device and computer readable storage medium |
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| JP2987446B2 (en) * | 1989-06-29 | 1999-12-06 | 富士重工業株式会社 | Vehicle self-diagnosis device |
| JPH04121000A (en) * | 1990-09-12 | 1992-04-21 | Nec Corp | Fault prevention self-diagnostic system |
| CN102969727A (en) * | 2012-12-13 | 2013-03-13 | 武汉东为科技有限公司 | Low-voltage reactive compensation control device and fault self-diagnosis method |
| CN104453842B (en) * | 2014-11-07 | 2017-04-26 | 常州大学 | Oil gas well down-hole fault diagnosis system and method |
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