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CN110333706B - Diagnostic control method, system, storage medium and terminal based on oil pressure data process of oil pressing groove of oil pressure device - Google Patents

Diagnostic control method, system, storage medium and terminal based on oil pressure data process of oil pressing groove of oil pressure device Download PDF

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Publication number
CN110333706B
CN110333706B CN201910330243.4A CN201910330243A CN110333706B CN 110333706 B CN110333706 B CN 110333706B CN 201910330243 A CN201910330243 A CN 201910330243A CN 110333706 B CN110333706 B CN 110333706B
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oil pressure
oil
data
tank
control data
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CN110333706A (en
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赵国建
何军
赵泽西
何啸天
刘昊鹏
王谦
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SICHUAN ZHONGDING INTELLIGENT TECHNOLOGY CO LTD
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SICHUAN ZHONGDING INTELLIGENT TECHNOLOGY CO LTD
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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00Testing or monitoring of control systems or parts thereof
    • G05B23/02Electric testing or monitoring
    • G05B23/0205Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0218Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
    • G05B23/0221Preprocessing measurements, e.g. data collection rate adjustment; Standardization of measurements; Time series or signal analysis, e.g. frequency analysis or wavelets; Trustworthiness of measurements; Indexes therefor; Measurements using easily measured parameters to estimate parameters difficult to measure; Virtual sensor creation; De-noising; Sensor fusion; Unconventional preprocessing inherently present in specific fault detection methods like PCA-based methods
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00Program-control systems
    • G05B2219/20Pc systems
    • G05B2219/24Pc safety
    • G05B2219/24065Real time diagnostics

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Automation & Control Theory (AREA)
  • Fluid-Pressure Circuits (AREA)
  • Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)
  • Control Of Transmission Device (AREA)

Abstract

The invention discloses a diagnostic control method, a diagnostic control system, a storage medium and a terminal based on an oil pressure data process of an oil pressure device oil pressure tank, wherein the method comprises the following steps: setting a process relation between oil pressure device data and time, wherein the data comprises control data and non-control data; the control data is oil pressure of the oil tank, and the non-control data comprises one or more of rising/falling speed of the oil pressure of the oil tank, oil level of an oil return tank, oil temperature of the oil tank, stroke of a servomotor, running/stopping time of an oil pump, motor current and motor voltage; setting a limit process interval of each data, detecting the oil pressure of a pressure oil tank of an oil pressure device, and reporting error to oil pressure diagnosis when the oil pressure exceeds the limit process interval; and/or: and detecting non-control data of the oil pressure device in real time, and diagnosing and reporting errors to the non-control data when the non-control data exceeds a limit process interval. The invention reports errors when the process of the oil pressure data and the non-control data of the oil pressure device is abnormal, and the control is only carried out after the comprehensive diagnosis of the data process.

Description

Diagnostic control method, system, storage medium and terminal based on oil pressure data process of oil pressing groove of oil pressure device
Technical Field
The invention relates to the field of automatic control, in particular to a diagnostic control method, a diagnostic control system, a storage medium and a terminal based on oil pressure data process of an oil pressure device oil pressure tank.
Background
The control object is also called a controlled object. In an automatic control system, it is generally referred to as the control of a device or process to be controlled, such as a reactor, a rectification device, or the control of a heat transfer process, a combustion process, etc. From the quantitative analysis and design point of view, the control object is only a part of factors influencing the input and output parameters of the object in the controlled device or process, and not all the devices. In an automatic control system, an actuator (a regulator valve) and a measurement transmitter other than a controller (a regulator) are included as a broad control object. As a control target in a narrow sense, there are a controlled parameter, a control parameter, and a disturbance parameter (collectively referred to as a process parameter or a process data) as end parameters (input and output), which are linked to each other by an internal state of a tank oil pressure of the oil pressure device.
In the prior art, for the control mode, a preset value and a fixed flow control are adopted for the control mode of a control object, a complex control system is simplified into a simplified control model based on simple input-based execution output, at the moment, the control model has no relation with the controlled object any more, once an input signal is wrong, the control is wrong, the usability of the input signal cannot be identified, and only basic automatic control is realized. The same control model is adopted for controlling the same kind of control objects. For example, the controller simply performs corresponding data discrimination on the analog quantity signal (i.e., the above-mentioned process parameter or process data) received by the controller from the external sensor or other detecting unit, and controls the start and stop of the corresponding working device according to the discrimination result. But the actual situation is: even if the control objects of the same kind are different from one another and have different characteristics, the existing control mode cannot automatically identify the characteristics of each specific control object, and certainly cannot realize differential control according to the characteristics of the specific objects. In the control process, only whether the controlled parameter reaches a preset value is concerned, but the change process of the controlled parameter is not monitored, and the comprehensive self-diagnosis and predictive control cannot be realized because the change process of the controlled parameter is not concerned.
However, the existing control method for the detecting element is based on the premise that the detecting element works normally, but in practice, there is a possibility that the detecting element is in error in a reliable state. The detection element is simply diagnosed and processed whether the detection element is in the detection range, the requirement on the reliability of the detection element is high, and a large number of detection elements with high import price are adopted. Even so, the control system is not subjected to comprehensive self-diagnosis and processing, and once abnormal changes or faults occur to the detection elements, misoperation or incapacitation can occur to the control system, and no fault-tolerant control function exists.
It is also gradually recognized in engineering practice that the most reliable control system may not necessarily be assembled with the most reliable sensing elements and actuators, but rather, it is also possible to construct a highly reliable control system with low reliability elements, provided that they are properly designed, assembled and used.
Disclosure of Invention
The invention aims to overcome the defects of the prior art, provide a diagnosis control method, a diagnosis control system, a diagnosis control storage medium and a diagnosis control terminal based on an oil pressure data process of an oil pressure device, and solve the problem that the whole data are not analyzed to perform corresponding start-stop operation when the data acquisition end of the prior art is abnormal, so that the whole automatic control system is influenced.
The aim of the invention is realized by the following technical scheme:
according to a first aspect of the present application, there is provided a diagnostic control method based on a process of oil pressure data of an oil pressure tank of an oil pressure device, comprising the steps of:
setting a process relation between oil pressure device data and time, wherein the data comprises control data and at least one non-control data associated with the control data; the control data is oil pressure of the oil tank, and the non-control data comprises one or more of oil pressure rising/falling speed of the oil tank, oil level of an oil return tank, oil temperature of the oil tank, stroke of a servomotor, running/stopping time of an oil pump, current of a motor and voltage of the motor;
setting a limit process interval of each data;
detecting the oil pressure of an oil tank of an oil pressure device in real time, and reporting errors to the oil pressure diagnosis of the oil tank when the oil pressure of the oil tank exceeds a limit process interval; and/or:
and detecting non-control data of the oil pressure device in real time, and diagnosing and reporting errors to the non-control data when the non-control data exceeds a limit process interval.
Further, when the real-time detected oil pressure of the oil tank exceeds the limit process interval, and the non-control data is within the limit process interval, fault-tolerant control is performed on the oil pressure of the oil tank of the oil pressure device according to the non-control data, namely, the oil pressure of the oil tank of the oil pressure device is indirectly controlled according to the non-control data.
Further, when the non-control data of the oil pressure device detected in real time exceeds the limit process interval, the oil pressure device is subjected to prediction control of the oil pressure device by taking the oil pressure of the oil pressure tank as a basis, namely, under the condition that the non-control data is diagnosed and reported wrong, the oil pressure of the oil pressure tank of the oil pressure device is subjected to prediction control in an advance and/or retard mode according to the oil pressure data of the oil pressure tank.
Further, the setting of the limit process interval of each data includes the following substeps:
the method comprises the steps of obtaining limit process intervals of oil pressure data of an oil tank of an oil pressure device and non-control data of the oil tank of the oil pressure device under the limit working conditions by manually setting the limit working conditions of the oil pressure of the oil tank of the oil pressure device under the normal operation, namely, the maximum value and the minimum value of the data of the oil pressure of the oil tank of the oil pressure device under the limit working conditions in the normal operation; or:
automatically setting a limit process interval according to the detected oil pressure data of the oil tank and the non-control data thereof after the oil pressure of the oil tank of the oil pressure device is put into operation, namely obtaining the maximum value and the minimum value of each data of the oil pressure of the oil tank of the oil pressure device in the operation process; or:
and simulating the maximum value and the minimum value of data obtained when the oil pressure of the oil tank of the oil pressure device is in a limit working condition in operation by a software simulation mode, so as to set a data limit process interval.
Further, the limit process interval is replaced by a positive and negative deviation range, and the obtaining mode of the positive and negative deviation range comprises the following steps:
in the actual operation of the oil pressure of the oil tank of the oil pressure device, continuously detecting the process relation between the oil pressure of the oil tank of the oil pressure device and the related non-control data and time;
acquiring an average value of a data time process, and establishing a standard normal distribution rule curve;
and determining the positive and negative deviation ranges of the data process according to the average value and the standard normal distribution rule curve.
Further, the non-control data includes the data detection value itself and/or the change speed of the data detection value.
According to a second aspect of the present application, there is provided a diagnostic control system based on a process of oil pressure data of an oil pressure tank of an oil pressure device, comprising:
and a data setting module: the process relation between the oil pressure device data and time is set, wherein the data comprises control data and at least one non-control data associated with the control data; the control data is oil pressure of the oil tank, and the non-control data comprises one or more of oil pressure rising/falling speed of the oil tank, oil level of an oil return tank, oil temperature of the oil tank, stroke of a servomotor, running/stopping time of an oil pump, current of a motor and voltage of the motor;
the limit interval setting module: setting a limit process interval of each data;
control data detection and judgment module: the device is used for detecting the oil pressure of the oil tank of the oil pressure device in real time, and diagnosing and reporting errors to the oil pressure of the oil tank when the oil pressure of the oil tank exceeds a limit process interval; and/or:
and the non-control data detection and judgment module is used for: and the non-control data is used for detecting the non-control data of the oil pressure device in real time, and diagnosing and reporting errors to the non-control data when the non-control data exceeds a limit process interval.
Further, in the control data detection and judgment module, when the real-time detected oil pressure of the oil tank exceeds the limit process interval, and the non-control data is within the limit process interval, fault-tolerant control is performed on the oil pressure of the oil tank of the oil pressure device according to the non-control data, namely, indirect control is performed on the oil pressure of the oil tank of the oil pressure device according to the non-control data.
Further, in the non-control data detection and judgment module, when the non-control data of the oil pressure device detected in real time exceeds the limit process interval, the prediction control of the oil pressure tank is performed on the basis of the oil pressure tank, that is, under the condition that the non-control data is diagnosed and reported, the prediction control of the oil pressure tank of the oil pressure device is performed in an advance and/or retard mode according to the oil pressure data of the oil pressure tank.
Further, the setting mode of the limit interval setting module includes:
the method comprises the steps of obtaining limit process intervals of oil pressure data of an oil tank of an oil pressure device and non-control data of the oil tank of the oil pressure device under the limit working conditions by manually setting the limit working conditions of the oil pressure of the oil tank of the oil pressure device under the normal operation, namely, the maximum value and the minimum value of the data of the oil pressure of the oil tank of the oil pressure device under the limit working conditions in the normal operation; or:
automatically setting a limit process interval according to the detected oil pressure data of the oil tank and the non-control data thereof after the oil pressure of the oil tank of the oil pressure device is put into operation, namely obtaining the maximum value and the minimum value of each data of the oil pressure of the oil tank of the oil pressure device in the operation process; or:
and simulating the maximum value and the minimum value of data obtained when the oil pressure of the oil tank of the oil pressure device is in a limit working condition in operation by a software simulation mode, so as to set a data limit process interval.
Further, the limit process interval is replaced by a positive deviation range and a negative deviation range;
the limit interval setting module is replaced by a positive and negative deviation range setting module, and comprises the following submodules: and a data acquisition sub-module: the method is used for continuously detecting the process relation between the oil pressure of the oil tank of the oil pressure device and the related non-control data and time in the actual operation of the oil pressure of the oil tank of the oil pressure device; and a data calculation sub-module: the method comprises the steps of obtaining an average value of a data time process and establishing a standard normal distribution rule curve; positive and negative deviation range determination submodule: determining positive and negative deviation ranges of a data process according to the average value and the standard normal distribution rule curve;
the control data detection and judgment module is used for detecting control data of oil pressure of the oil tank of the oil pressure device in real time, and reporting errors to the oil pressure of the oil tank when the oil pressure of the oil tank exceeds a positive deviation range and a negative deviation range;
the non-control data detection and judgment module is used for detecting non-control data of the oil pressure of the oil tank of the oil pressure device in real time, and reporting errors to the non-control data when the non-control data exceeds a positive deviation range and a negative deviation range.
Further, the non-control data includes the data detection value itself and/or the change speed of the data detection value.
According to a third aspect of the present application, there is provided a storage medium having stored thereon computer instructions that, when executed, perform the steps of the diagnostic control method based on the oil pressure data process of the oil pressure device.
According to a third aspect of the present application, there is provided a terminal comprising a memory and a processor, the memory having stored thereon computer instructions executable on the processor, the processor executing the steps of the diagnostic control method based on the oil pressure data process of the oil pressure device when the computer instructions are executed.
The beneficial effects of the invention are as follows:
(1) The invention diagnoses and reports errors without corresponding control when process abnormality occurs in control data (oil pressure of the oil pressure tank) and non-control data (one or more of the oil pressure tank, the oil level of the oil return tank, the oil temperature of the oil pressure tank, the stroke of the servomotor, the running/stopping time of the oil pump, the current of the motor and the voltage of the motor) of the oil pressure device, and only the data process is comprehensively diagnosed and then is controlled, thereby effectively avoiding control failure caused by control system faults or defects. The application of the invention can bring profound effects to the traditional automatic control technology.
(2) According to the two preferred embodiments of the invention, on the basis of original basic automatic control, predictive control and fault-tolerant control are respectively and autonomously realized through monitoring the time course of data, autonomous learning and the characteristics of an oil pressure device; the integrated diagnosis and fault-tolerant control functions reduce the reliability requirement of the detection element, and the domestic detection element can be used for replacing the imported detection element, so that a high-reliability control system is possible to be formed by low-reliability elements as long as the design, the assembly and the use are proper.
(3) According to another preferred embodiment of the invention, the dynamic characteristics of the oil pressure device can be accumulated and calculated for a long time, the self-learning and the autonomous perfection are realized by utilizing the characteristics of the oil pressure device, and the differential control of similar objects is realized.
(4) In the working process of the control system, comprehensive self-diagnosis is realized through the characteristics of the control system, and self-control is realized according to the diagnosis result, so that the intervention of human on the control process is reduced or not relied on.
Drawings
FIG. 1 is a flow chart of the method of the present invention;
fig. 2 is a block diagram of the system of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made apparent and fully understood from the accompanying drawings, in which some, but not all embodiments of the invention are shown. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In the description of the present invention, it should be noted that directions or positional relationships indicated as being "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. are directions or positional relationships described based on the drawings are merely for convenience of describing the present invention and simplifying the description, and do not indicate or imply that the apparatus or elements to be referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it should be noted that, unless explicitly specified and limited otherwise, terms "mounted," "connected," and "connected" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention will be understood in specific cases by those of ordinary skill in the art.
In addition, the technical features of the different embodiments of the present invention described below may be combined with each other as long as they do not collide with each other.
Example 1
The embodiment discloses a diagnostic control method based on oil pressure data process of an oil pressure device oil pressure groove, which enables when data abnormality occurs at a data acquisition end, analysis is carried out on the whole data to carry out corresponding start-stop operation on the oil pressure of the oil pressure groove of the corresponding oil pressure device, and the influence on the whole automatic control system is avoided.
Specifically, the present embodiment is described taking an oil pressure device as an example, and as shown in fig. 1, a diagnostic control method based on an oil pressure data process of an oil pressure device oil pressure tank includes the steps of:
s1: setting a process relation between oil pressure device data and time, wherein the data comprises control data and at least one non-control data associated with the control data; the control data is oil pressure of the oil tank, and the non-control data comprises one or more of oil pressure rising/falling speed of the oil tank, oil level of an oil return tank, oil temperature of the oil tank, stroke of a servomotor, running/stopping time of an oil pump, current of a motor and voltage of the motor.
The control data are mainly monitoring control data and control basis (namely, the oil pressure of the oil tank) of the oil pressure device, and the non-control data are other data (namely, one or more of the rising/falling speed of the oil pressure of the oil tank, the oil level of an oil return tank, the oil temperature of the oil tank, the stroke of a servomotor, the running/stopping time of the oil pump, the current of a motor and the voltage of the motor) related to the control data.
Preferably, in the present embodiment, the non-control data includes the process data detection value itself and/or the change speed of the process data detection value.
In this embodiment, the control object is the oil pressure of the oil tank of the oil pressure device, and the control data is the oil pressure of the oil tank. And its corresponding non-control data includes one or more of sump oil pressure rise/fall rate, sump oil level, oil return tank oil level, sump oil temperature, servomotor stroke, oil pump run/stop time, motor current, and motor voltage.
That is, in a normal case, the control of the oil pressure in the oil reservoir of the oil pressure device is based on the oil pressure in the oil reservoir, and thus the data may be control data. The present embodiment is non-control data because the sump oil pressure rise/fall speed, sump oil level, oil return tank oil level, sump oil temperature, relay stroke, oil pump running/stopping time, motor current, and motor voltage of the oil pressure device are related to the sump oil pressure.
S2, setting a limit process interval of each data.
The step S2 is used for initializing settings, and specifically includes the following three cases:
(1) The method comprises the steps of obtaining limit process intervals of oil pressure data of an oil tank of an oil pressure device and non-control data of the oil tank of the oil pressure device under the limit working conditions by manually setting the limit working conditions of the oil pressure of the oil tank of the oil pressure device under the normal operation, namely, the maximum value and the minimum value of the data of the oil pressure of the oil tank of the oil pressure device under the limit working conditions in the normal operation; or:
(2) Automatically setting a limit process interval according to the detected oil pressure data of the oil tank and the non-control data thereof after the oil pressure of the oil tank of the oil pressure device is put into operation, namely obtaining the maximum value and the minimum value of each data of the oil pressure of the oil tank of the oil pressure device in the operation process; or:
(3) And simulating the maximum value and the minimum value of data obtained when the oil pressure of the oil tank of the oil pressure device is in a limit working condition in operation by a software simulation mode, so as to set a data limit process interval.
Specifically, in the present embodiment, by any one of the above three modes, the actual highest sump oil pressure and the lowest sump oil pressure of the oil pressure device, as well as the maximum and minimum values of the sump oil level, the maximum and minimum values of the oil return tank oil level, the maximum and minimum values of the oil pump operation time length, the maximum and minimum values of the oil pump downtime length, the maximum and minimum values of the sump oil temperature, the maximum and minimum values of the servomotor stroke, the maximum and minimum values of the motor current, and the maximum and minimum values of the motor voltage can be obtained.
Setting the obtained data as a limit process interval of each process data. And the limit value set may be an actual value or a percentage of an actual value.
S3, detecting the oil pressure of the oil tank of the oil pressure device in real time, and reporting errors to the oil pressure diagnosis of the oil tank when the oil pressure of the oil tank exceeds a limit process interval; and/or: and detecting non-control data of the oil pressure device in real time, and diagnosing and reporting errors to the non-control data when the non-control data exceeds a limit process interval.
Wherein, for the control data exceeding the limit interval and the non-control data exceeding the limit interval, the following three conditions are included:
(1) When an input channel failure of data is detected, i.e., data cannot be detected or acquired (at this time, it is considered that the limit interval is exceeded).
In this embodiment, the input channel of the oil pressure analog quantity of the oil pressure tank of the oil pressure device fails, and the oil pressure data of the oil pressure tank cannot be obtained.
(2) When the detected data signal is not within the detection range of the input channel, namely the data is out of the normal detection range.
In the present embodiment, the signal input through the oil tank oil pressure analog input channel of the oil pressure device is beyond the range of the data that can be detected by the analog input channel.
(3) When the detected data signal is not within the limit process interval set in step S2.
In this embodiment, the oil pressure of the oil tank, the rising/falling speed of the oil pressure of the oil tank, the oil level of the oil return tank, the oil temperature of the oil tank, the stroke of the servomotor, the running/stopping time of the oil pump, the motor current and the motor voltage are within the limit process interval in step S2.
In this step, when any one of the above three cases occurs, that is, there is a possibility that an abnormality occurs in the data itself (such as a damage of a data detection sensor of control data, a damage of a data detection device of non-control data, or a damage of both transmission paths, etc.), instead of an abnormality in the environment.
Therefore, when the control data exceeds the limit process interval or the non-control data exceeds the limit process interval, the error reporting mode is adopted, and the error reporting mode is not directly used as a basis for controlling the oil pressure of the oil tank of the oil pressure device.
Based on the above three steps, in one of the preferred schemes of the present embodiment, a fault-tolerant control implementation manner is adopted, where the fault-tolerant control mainly solves the problem of error reporting of control data, specifically:
when the oil pressure of the oil tank detected in real time exceeds the limit process interval, and the non-control data is within the limit process interval, fault-tolerant control is carried out on the oil pressure of the oil tank of the oil pressure device by taking the non-control data as a basis, namely, the oil pressure of the oil tank of the oil pressure device is indirectly controlled by taking the non-control data as a basis, so that the oil pressure of the oil tank of the oil pressure device is ensured to be out of operation without control failure caused by error reporting of the control data.
That is, in the case of the present embodiment, when the tank oil pressure of the oil pressure device exceeds the limit section, the tank oil pressure of the oil pressure device is not controlled by the tank oil pressure data, but is controlled by one or more non-control data of the tank oil pressure rise/fall speed, the tank oil level, the tank oil temperature, the servomotor stroke, the oil pump operation/stop time, the motor current, and the motor voltage. Specifically, a few or a few are selected and set according to actual conditions.
For example, by (autonomously learning and autonomously correcting, preferred) the tank oil pressure rising/falling speed, the tank oil level, the oil tank oil temperature, the servomotor stroke, the oil pump running/stopping time, the motor current, and the motor voltage at the time of tank oil pressure operation of the oil pressure device.
When the oil pressure of the oil tank is higher than the maximum or minimum value in the limit interval, the oil pressure of the oil tank of the oil pressure device is continuously controlled to automatically work according to the rising/falling speed of the oil pressure of the oil tank, the oil level of the oil return tank, the oil temperature of the oil tank, the stroke of the servomotor, the running/stopping time of the oil pump, the current of the motor and the voltage of the motor, or whether the oil pressure of the oil tank of the oil pressure device works normally is judged. And correspondingly, generating an alarm signal corresponding to the control data.
In this way, a diagnostic error can be made on the sensor signal for detecting the oil pressure of the oil sump as a source of control data.
In addition, in the above-described oil pressure device, in a normal case, the oil tank oil pressure rising/falling speed, the oil tank oil level, the oil return tank oil level, the oil tank oil temperature, the servomotor stroke, the oil pump operation/stop time, the motor current, and the motor voltage are data acquired in which the oil tank oil pressure is within the limit process section (i.e., acquisition of non-control data is based on control data being within the limit process section). Specifically:
detecting the oil level of the oil tank of the oil pressure device, if the oil level of the oil tank exceeds the allowable process interval range (namely, when the non-control data is not in the limit interval set in the step S3), sending an alarm signal that the oil level of the oil tank of the oil pressure device exceeds the allowable change interval, otherwise, automatically calculating the oil level of the oil tank in the whole process (namely, when the non-control data is in the limit interval set in the step S3), and continuously and automatically learning and correcting in the control process.
The oil tank oil pressure rising/falling speed, the oil return tank oil level, the oil tank oil temperature, the servomotor stroke, the oil pump running/stopping time, the motor current and the motor voltage of the oil pressure device are also similar, and are not described in detail herein.
Based on the above three steps, in another preferred embodiment of the present embodiment, a prediction control implementation manner is adopted, where the prediction control mainly solves the problem of error reporting of non-control data, specifically:
when the non-control data of the oil pressure device detected in real time exceeds the limit process interval, the oil pressure device is subjected to prediction control on the oil pressure of the oil pressure device by taking the oil pressure of the oil tank as a basis, namely, under the condition that the non-control data is diagnosed and reported wrongly, the oil pressure of the oil tank of the oil pressure device is subjected to prediction control in an advance and/or retard mode according to the oil pressure data of the oil pressure tank.
When the control data is in the limit process interval, the non-control data is not used as the control basis of the oil pressure of the oil tank of the oil pressure device, but the problem of the related content (the problem of the acquisition end or the problem of data acquisition) can be described when the control data exceeds the limit process interval, so that the oil pressure of the oil tank of the oil pressure device can be controlled in an advance and/or retard mode according to the error reporting condition of the non-control data.
Specifically, in the case of the present embodiment, when the tank oil pressure is in the limit process interval, and one or more of the tank oil pressure rising/falling speed, the tank oil level, the oil return tank oil level, the tank oil temperature, the relay stroke, the oil pump operation/stop time, the motor current, and the motor voltage of the oil pressure device is outside the limit process interval, the tank oil pressure of the oil pressure device is controlled to be advanced and/or retarded with reference to the tank oil pressure.
Wherein the predictive control and the fault tolerant control are in the presence of an and/or relationship.
In addition, based on the implementation of any of the foregoing, in this embodiment, the limiting process interval is replaced by a positive and negative deviation range, where the method for obtaining the positive and negative deviation range includes the following steps:
s21': in the actual operation of the oil pressure of the oil tank of the oil pressure device, continuously detecting the process relation between the oil pressure of the oil tank of the oil pressure device and the related non-control data and time;
s22': acquiring an average value of a data time process, and establishing a standard normal distribution rule curve;
s23': and determining the positive and negative deviation ranges of the data process according to the average value and the standard normal distribution rule curve.
That is, the present embodiment also provides a diagnostic method, which can replace the data determination from the limit process interval to the positive and negative deviation ranges, and when it is determined that the process data including the control data and the non-control data exceeds the positive and negative deviation ranges, the error reporting, the fault-tolerant control and the predictive control in the preferred scheme are performed on the oil pressure of the oil tank of the oil pressure device.
The manner of setting the positive and negative deviation ranges is the same as the manner of setting the limit process interval, and will not be described herein.
By adopting the mode, the judging interval of the data is more in line with objective rules, the differential control of the similar objects is realized, and the problems that the oil pressure characteristics of the oil grooves of each specific oil pressure device cannot be automatically identified and the differential control cannot be realized according to the characteristics of the specific objects in the prior art are solved.
In addition, in this embodiment, an average value of the change and the positive and negative deviation ranges determined according to a standard normal distribution rule may be calculated according to the process data of the oil tank oil pressure of the oil pressure device, and a trend of the process data of the oil tank oil pressure of the oil pressure device over time may be determined according to a migration condition over time, and an operation condition and trend analysis of the oil tank oil pressure of the oil pressure device may be diagnosed for evaluating a health deterioration condition of the oil tank oil pressure of the oil pressure device.
In general, the limit process interval is used for a period of time when the oil pressure in the oil tank of the oil pressure device is just started, and at this time, less data is used for calculating the positive and negative deviation ranges. And the positive and negative deviation ranges are used for replacing the limit process interval after a period of operation, so that the data judge the oil pressure characteristics of the oil tank with the oil pressure device.
Further, the positive and negative deviation ranges are preferably variable, and the ratio is preferably smaller as the data is larger. For example, in the initial case of use, 60% of the float around the average value may be used, while in the later stage 95% or even 99% of the float around the average value may be used.
Example 2
The embodiment also provides a diagnosis control system based on the oil pressure data process of the oil pressure device oil pressure groove, and the system has the same inventive concept as that of the embodiment 1, so that when the data acquisition end is abnormal, the whole data is analyzed to perform corresponding start-stop operation on the oil pressure of the oil pressure groove of the corresponding oil pressure device, and the influence on the whole automatic control system is avoided. Specifically, as shown in fig. 2, a diagnostic control system based on a process of oil pressure data of an oil pressure tank of an oil pressure device includes:
and a data setting module: the process relation between the oil pressure device data and time is set, wherein the data comprises control data and at least one non-control data associated with the control data; the control data is oil pressure of the oil tank, and the non-control data comprises one or more of oil pressure rising/falling speed of the oil tank, oil level of an oil return tank, oil temperature of the oil tank, stroke of a servomotor, running/stopping time of an oil pump, current of a motor and voltage of the motor;
the limit interval setting module: setting a limit process interval of each data;
control data detection and judgment module: the device is used for detecting the oil pressure of the oil tank of the oil pressure device in real time, and diagnosing and reporting errors to the oil pressure of the oil tank when the oil pressure of the oil tank exceeds a limit process interval; and/or:
and the non-control data detection and judgment module is used for: and the non-control data is used for detecting the non-control data of the oil pressure device in real time, and diagnosing and reporting errors to the non-control data when the non-control data exceeds a limit process interval.
Preferably, in the present embodiment, in the control data detecting and judging module, when the real-time detected oil pressure of the oil tank exceeds the limit process interval, but the non-control data is within the limit process interval, the fault-tolerant control is performed on the oil pressure of the oil tank of the oil pressure device based on the non-control data, that is, the indirect control is performed on the oil pressure of the oil tank of the oil pressure device based on the non-control data.
Preferably, in the present embodiment, in the non-control data detection and judgment module, when the non-control data of the hydraulic device detected in real time exceeds the limit process interval, the prediction control of the hydraulic tank oil pressure is performed on the hydraulic device based on the hydraulic tank oil pressure, that is, in the case of diagnosing and reporting errors in the non-control data, the prediction control is performed on the hydraulic tank oil pressure of the hydraulic device in an advance and/or retard manner based on the hydraulic tank oil pressure data.
Preferably, in this embodiment, the setting manner of the limit interval setting module includes:
the method comprises the steps of obtaining limit process intervals of oil pressure data of an oil tank of an oil pressure device and non-control data of the oil tank of the oil pressure device under the limit working conditions by manually setting the limit working conditions of the oil pressure of the oil tank of the oil pressure device under the normal operation, namely, the maximum value and the minimum value of the data of the oil pressure of the oil tank of the oil pressure device under the limit working conditions in the normal operation; or:
automatically setting a limit process interval according to the detected oil pressure data of the oil tank and the non-control data thereof after the oil pressure of the oil tank of the oil pressure device is put into operation, namely obtaining the maximum value and the minimum value of each data of the oil pressure of the oil tank of the oil pressure device in the operation process; or:
and simulating the maximum value and the minimum value of data obtained when the oil pressure of the oil tank of the oil pressure device is in a limit working condition in operation by a software simulation mode, so as to set a data limit process interval.
Preferably, in the present embodiment, the limit process interval is replaced by a positive and negative deviation range;
the limit interval setting module is replaced by a positive and negative deviation range setting module, and comprises the following submodules: and a data acquisition sub-module: the method is used for continuously detecting the process relation between the oil pressure of the oil tank of the oil pressure device and the related non-control data and time in the actual operation of the oil pressure of the oil tank of the oil pressure device; and a data calculation sub-module: the method comprises the steps of obtaining an average value of a data time process and establishing a standard normal distribution rule curve; positive and negative deviation range determination submodule: determining positive and negative deviation ranges of a data process according to the average value and the standard normal distribution rule curve;
the control data detection and judgment module is used for detecting control data of oil pressure of the oil tank of the oil pressure device in real time, and reporting errors to the oil pressure of the oil tank when the oil pressure of the oil tank exceeds a positive deviation range and a negative deviation range;
the non-control data detection and judgment module is used for detecting non-control data of the oil pressure of the oil tank of the oil pressure device in real time, and reporting errors to the non-control data when the non-control data exceeds a positive deviation range and a negative deviation range.
Preferably, in the present embodiment, the non-control data includes the data detection value itself and/or the change speed of the data detection value.
The description of the relevant parts in the diagnostic control system based on the oil pressure data process of the oil pressure device provided by the embodiment of the invention is referred to in the detailed description of the corresponding parts in the diagnostic control method based on the oil pressure data process of the oil pressure device provided by the embodiment 1 of the invention, and is not repeated here. In addition, in the above technical solutions provided in the embodiments of the present invention, the parts consistent with the implementation principles of the corresponding technical solutions in the prior art are not described in detail, so that redundant descriptions are avoided.
Example 3
Based on the implementation of embodiment 1, this embodiment also provides a storage medium having stored thereon computer instructions that, when executed, perform the steps of the diagnostic control method based on the oil pressure data process of the oil pressure device oil pressure tank described in embodiment 1.
Based on such understanding, the technical solution of the present embodiment may be essentially or a part contributing to the prior art or a part of the technical solution may be embodied in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-only memory (ROM), a random access memory (RandomAccessMemory, RAM), a magnetic disk, an optical disk, or other various media capable of storing program codes.
Example 4
Based on the implementation of embodiment 1, this embodiment further provides a terminal, including a memory and a processor, where the memory stores computer instructions that can be executed on the processor, and when the processor executes the computer instructions, the processor executes the steps of the diagnostic control method based on the oil pressure data process of the oil pressure device oil pressure tank described in embodiment 1.
The functional units in the embodiments provided in the present invention may be integrated in one processor, or each unit may exist alone physically, or two or more units may be integrated in one unit.
It is apparent that the above examples are given by way of illustration only and not by way of limitation, and that other variations or modifications may be made in the various forms based on the above description by those of ordinary skill in the art. It is not necessary here nor is it exhaustive of all embodiments. And obvious variations or modifications thereof are contemplated as falling within the scope of the present invention.

Claims (10)

1. The diagnosis control method based on the oil pressure data process of the oil pressure device oil pressure groove is characterized by comprising the following steps of: the method comprises the following steps:
setting a process relation between oil pressure device data and time, wherein the data comprises control data and at least one non-control data associated with the control data; the control data is oil pressure of the oil tank, and the non-control data comprises one or more of oil pressure rising/falling speed of the oil tank, oil level of an oil return tank, oil temperature of the oil tank, stroke of a servomotor, running/stopping time of an oil pump, current of a motor and voltage of the motor;
setting a limit process interval of each data;
detecting the oil pressure of an oil tank of an oil pressure device in real time, and reporting errors to the oil pressure diagnosis of the oil tank when the oil pressure of the oil tank exceeds a limit process interval; when the oil pressure of the oil tank detected in real time exceeds the limit process interval, and the non-control data is within the limit process interval, fault-tolerant control is carried out on the oil pressure of the oil tank of the oil pressure device by taking the non-control data as a basis, namely, the oil pressure of the oil tank of the oil pressure device is indirectly controlled by taking the non-control data as a basis; and/or:
detecting non-control data of the oil pressure device in real time, and diagnosing and reporting errors to the non-control data when the non-control data exceeds a limit process interval; when the non-control data of the oil pressure device detected in real time exceeds the limit process interval, the oil pressure device is subjected to prediction control on the oil pressure of the oil pressure device by taking the oil pressure of the oil tank as a basis, namely, under the condition that the non-control data is diagnosed and reported wrongly, the oil pressure of the oil tank of the oil pressure device is subjected to prediction control in an advance and/or retard mode according to the oil pressure data of the oil pressure tank.
2. The diagnostic control method based on the oil pressure data process of the oil pressure tank of the oil pressure device according to claim 1, wherein: the setting of the limit process interval of each data comprises the following substeps:
the method comprises the steps of obtaining limit process intervals of oil pressure data of an oil tank of an oil pressure device and non-control data of the oil tank of the oil pressure device under the limit working conditions by manually setting the limit working conditions of the oil pressure of the oil tank of the oil pressure device under the normal operation, namely, the maximum value and the minimum value of the data of the oil pressure of the oil tank of the oil pressure device under the limit working conditions in the normal operation; or:
automatically setting a limit process interval according to the detected oil pressure data of the oil tank and the non-control data thereof after the oil pressure of the oil tank of the oil pressure device is put into operation, namely obtaining the maximum value and the minimum value of each data of the oil pressure of the oil tank of the oil pressure device in the operation process; or:
and simulating the maximum value and the minimum value of data obtained when the oil pressure of the oil tank of the oil pressure device is in a limit working condition in operation by a software simulation mode, so as to set a data limit process interval.
3. The diagnostic control method based on the oil pressure data process of the oil pressure tank of the oil pressure device according to claim 1, wherein: the limit process interval is replaced by a positive and negative deviation range, and the acquisition mode of the positive and negative deviation range comprises the following steps:
in the actual operation of the oil pressure of the oil tank of the oil pressure device, continuously detecting the process relation between the oil pressure of the oil tank of the oil pressure device and the related non-control data and time;
acquiring an average value of a data time process, and establishing a standard normal distribution rule curve;
and determining the positive and negative deviation ranges of the data process according to the average value and the standard normal distribution rule curve.
4. The diagnostic control method based on the oil pressure data process of the oil pressure tank of the oil pressure device according to claim 1, wherein: the non-control data includes the data detection value itself and/or the change speed of the data detection value.
5. Diagnostic control system based on oil pressure device oil pressure groove oil pressure data process, its characterized in that: comprising the following steps:
and a data setting module: the process relation between the oil pressure device data and time is set, wherein the data comprises control data and at least one non-control data associated with the control data; the control data is oil pressure of the oil tank, and the non-control data comprises one or more of oil pressure rising/falling speed of the oil tank, oil level of an oil return tank, oil temperature of the oil tank, stroke of a servomotor, running/stopping time of an oil pump, current of a motor and voltage of the motor;
the limit interval setting module: setting a limit process interval of each data;
control data detection and judgment module: the device is used for detecting the oil pressure of the oil tank of the oil pressure device in real time, and diagnosing and reporting errors to the oil pressure of the oil tank when the oil pressure of the oil tank exceeds a limit process interval; when the oil pressure of the oil tank detected in real time exceeds the limit process interval, and the non-control data is within the limit process interval, fault-tolerant control is carried out on the oil pressure of the oil tank of the oil pressure device by taking the non-control data as a basis, namely, the oil pressure of the oil tank of the oil pressure device is indirectly controlled by taking the non-control data as a basis; and/or:
and the non-control data detection and judgment module is used for: the method comprises the steps of detecting non-control data of an oil pressure device in real time, and diagnosing and reporting errors to the non-control data when the non-control data exceeds a limit process interval; when the non-control data of the oil pressure device detected in real time exceeds the limit process interval, the oil pressure device is subjected to prediction control on the oil pressure of the oil pressure device by taking the oil pressure of the oil tank as a basis, namely, under the condition that the non-control data is diagnosed and reported wrongly, the oil pressure of the oil tank of the oil pressure device is subjected to prediction control in an advance and/or retard mode according to the oil pressure data of the oil pressure tank.
6. The diagnostic control system based on the oil pressure data process of the oil pressure tank of the oil pressure device according to claim 5, wherein: the setting mode of the limit interval setting module comprises the following steps:
the method comprises the steps of obtaining limit process intervals of oil pressure data of an oil tank of an oil pressure device and non-control data of the oil tank of the oil pressure device under the limit working conditions by manually setting the limit working conditions of the oil pressure of the oil tank of the oil pressure device under the normal operation, namely, the maximum value and the minimum value of the data of the oil pressure of the oil tank of the oil pressure device under the limit working conditions in the normal operation; or:
automatically setting a limit process interval according to the detected oil pressure data of the oil tank and the non-control data thereof after the oil pressure of the oil tank of the oil pressure device is put into operation, namely obtaining the maximum value and the minimum value of each data of the oil pressure of the oil tank of the oil pressure device in the operation process; or:
and simulating the maximum value and the minimum value of data obtained when the oil pressure of the oil tank of the oil pressure device is in a limit working condition in operation by a software simulation mode, so as to set a data limit process interval.
7. The diagnostic control system based on the oil pressure data process of the oil pressure tank of the oil pressure device according to claim 5, wherein: the limit process interval is replaced by a positive deviation range and a negative deviation range;
the limit interval setting module is replaced by a positive and negative deviation range setting module, and comprises the following submodules: and a data acquisition sub-module: the method is used for continuously detecting the process relation between the oil pressure of the oil tank of the oil pressure device and the related non-control data and time in the actual operation of the oil pressure of the oil tank of the oil pressure device; and a data calculation sub-module: the method comprises the steps of obtaining an average value of a data time process and establishing a standard normal distribution rule curve; positive and negative deviation range determination submodule: determining positive and negative deviation ranges of a data process according to the average value and the standard normal distribution rule curve;
the control data detection and judgment module is used for detecting control data of oil pressure of the oil tank of the oil pressure device in real time, and reporting errors to the oil pressure of the oil tank when the oil pressure of the oil tank exceeds a positive deviation range and a negative deviation range;
the non-control data detection and judgment module is used for detecting non-control data of the oil pressure of the oil tank of the oil pressure device in real time, and reporting errors to the non-control data when the non-control data exceeds a positive deviation range and a negative deviation range.
8. The diagnostic control system based on the oil pressure data process of the oil pressure tank of the oil pressure device according to claim 5, wherein: the non-control data includes the data detection value itself and/or the change speed of the data detection value.
9. A storage medium having stored thereon computer instructions, characterized by: the computer instructions, when executed, perform the steps of the diagnostic control method based on the oil pressure data process of the oil pressure device oil pressure tank of any one of claims 1 to 4.
10. A terminal comprising a memory and a processor, the memory having stored thereon computer instructions executable on the processor, wherein the processor, when executing the computer instructions, performs the steps of the diagnostic control method of any one of claims 1 to 4 based on the oil pressure data process of the oil pressure device.
CN201910330243.4A 2019-04-23 2019-04-23 Diagnostic control method, system, storage medium and terminal based on oil pressure data process of oil pressing groove of oil pressure device Active CN110333706B (en)

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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6205376B1 (en) * 1999-06-22 2001-03-20 Rockwell Collins, Inc. Blocked pitot-static monitor
CN1589370A (en) * 2001-11-27 2005-03-02 艾劳埃斯·乌本 Method for monitoring a sensor
CN1650109A (en) * 2002-05-03 2005-08-03 费希尔控制国际公司 Method and apparatus for performing diagnostics in a control loop of a control valve
CN106774229A (en) * 2016-12-16 2017-05-31 杭州和利时自动化有限公司 A kind of SOE parameters unusual fluctuation analysis method and device

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7487761B1 (en) * 2007-07-24 2009-02-10 Visteon Global Technologies, Inc. Detection of fuel system problems

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6205376B1 (en) * 1999-06-22 2001-03-20 Rockwell Collins, Inc. Blocked pitot-static monitor
CN1589370A (en) * 2001-11-27 2005-03-02 艾劳埃斯·乌本 Method for monitoring a sensor
CN1650109A (en) * 2002-05-03 2005-08-03 费希尔控制国际公司 Method and apparatus for performing diagnostics in a control loop of a control valve
CN106774229A (en) * 2016-12-16 2017-05-31 杭州和利时自动化有限公司 A kind of SOE parameters unusual fluctuation analysis method and device

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