CN117791971A - Drum shaft motor with fault diagnosis and alarm functions - Google Patents
Drum shaft motor with fault diagnosis and alarm functions Download PDFInfo
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Abstract
The invention relates to the technical field of a cylinder shaft motor, in particular to a cylinder shaft motor with a fault diagnosis alarm function, which comprises a supervision platform, a data acquisition unit, a front-end safety unit, a characteristic supervision unit, an early warning feedback unit, a management matching unit and an early warning processing unit, wherein the supervision platform is used for acquiring data of a cylinder shaft motor; the invention judges whether the line is normal or not by the line data of the cylinder shaft motor and carries out safety supervision evaluation analysis so as to ensure the accuracy of the follow-up analysis result and the effectiveness of early warning, and on the premise of normal line, the invention carries out operation supervision feedback evaluation analysis on the operation characteristic data and the early warning characteristic data of the front cylinder shaft motor by analyzing from the front end and the rear end, so as to improve the operation safety and the management timeliness of the cylinder shaft motor, ensure the effectiveness and the early warning effect of the rear end early warning, and carry out analysis on the abnormal cylinder shaft motor by an information feedback mode and simultaneously reasonably and specifically manage the early warning condition and the line condition of the rear end.
Description
Technical Field
The invention relates to the technical field of a cylinder shaft motor, in particular to a cylinder shaft motor with a fault diagnosis and alarm function.
Background
The cylinder motor is a common motor, the structure of the cylinder motor mainly comprises a stator, a rotor and a bearing, the stator is a fixed part of the motor and consists of an iron core and a winding, the winding is a wire through which current passes, and the iron core is a channel of a magnetic circuit; the cylinder motor is a driving device which connects a cylindrical motor with a roller through a transmission shaft such as a chain, a gear and the like, and is widely applied to industries such as logistics transportation, packaging and the like due to the characteristics of simple structure, high power efficiency and the like;
however, the existing cylinder shaft motor cannot carry out safety supervision on an internal circuit thereof in the use process, so that the follow-up data acquisition, transmission and early warning effectiveness are affected, the operation risk and unnecessary economic loss of the cylinder shaft motor are increased, the management timeliness and rationality of the cylinder shaft motor are reduced, the front-end operation and rear-end early warning condition of the cylinder shaft motor cannot be combined, the cylinder shaft motor is reasonably and pointedly managed, and the management efficiency of the cylinder shaft motor is reduced;
in view of the above technical drawbacks, a solution is now proposed.
Disclosure of Invention
The invention aims to provide a cylinder shaft motor with a fault diagnosis alarm function, which solves the technical defects, judges whether a line is normal or not by carrying out safety supervision, evaluation and analysis on the line data of the cylinder shaft motor, so as to ensure the accuracy of a subsequent analysis result and the effectiveness of early warning, and carries out analysis on the operation characteristic data and the early warning characteristic data of the front cylinder shaft motor from two angles of the front end and the rear end on the premise that the line is normal, so as to improve the operation safety and the management timeliness of the front cylinder shaft motor, ensure the effectiveness and the early warning effect of the rear end early warning, and carry out reasonable and targeted management on the abnormal cylinder shaft motor by combining the rear end early warning condition and the line condition in an information feedback mode, so that the management rationality and the early warning timeliness of the cylinder shaft motor are ensured.
The aim of the invention can be achieved by the following technical scheme: a cylinder shaft motor with a fault diagnosis and alarm function comprises a supervision platform, a data acquisition unit, a front-end safety unit, a characteristic supervision unit, an early warning feedback unit, a management matching unit and an early warning processing unit;
when the supervision platform generates a management command, the management command is sent to a data acquisition unit, the data acquisition unit immediately acquires line data and operation characteristic data of the cylinder shaft motor after receiving the management command, the line data comprises a transmission interference value and a line risk value, the operation characteristic data comprises a characteristic difference value and an operation risk value, the line data and the operation characteristic data are respectively sent to a front-end safety unit and a characteristic supervision unit, the front-end safety unit immediately carries out safety supervision evaluation analysis on the line data after receiving the line data, the obtained normal signal is sent to a characteristic supervision unit and an early warning feedback unit, and the obtained abnormal signal is sent to an early warning processing unit through a management matching unit;
the feature supervision unit immediately performs operation supervision feedback evaluation analysis and deep comparison analysis on the operation feature data after receiving the normal signals and the operation feature data, and sends the obtained risk signals to the management matching unit through the front-end security unit;
the early warning feedback unit immediately acquires early warning characteristic data of the cylinder shaft motor after receiving the normal signal, wherein the early warning characteristic data represent early warning influence values and performance deviation values, performs performance supervision feedback analysis on the early warning characteristic data, sends an obtained feedback signal to the management matching unit, and sends the obtained warning signal to the early warning processing unit through the management matching unit;
and the management matching unit immediately carries out deep management matching analysis on the operation characteristic data corresponding to the risk signal after receiving the risk signal and the feedback signal, and sends the obtained primary maintenance signal, secondary maintenance signal and tertiary maintenance signal to the early warning processing unit.
Preferably, the safety supervision, evaluation and analysis process of the front-end safety unit is as follows:
s1: acquiring the time length from the starting operation time to the ending operation time of the cylinder shaft motor, marking the time length as a time threshold, dividing the time threshold into i sub-time periods, wherein i is a natural number larger than zero, dividing the sub-time periods into o sub-time nodes, wherein o is a natural number larger than zero, acquiring a line risk value of a cylinder shaft motor line in each sub-time period, wherein the line risk value represents the number of sub-time nodes corresponding to the temperature rising speed threshold value in the cylinder shaft motor in unit time, carrying out data normalization processing on the product value obtained by the part of the cylinder shaft motor line in unit time, which exceeds the temperature rising speed threshold value in unit time, and simultaneously acquiring a transmission interference value of the cylinder shaft motor line in each sub-time period, wherein the transmission interference value represents the product value obtained by carrying out data normalization processing on the part of the conduction resistance value of the cylinder shaft motor in the line exceeding the preset conduction resistance value threshold value and an environmental electromagnetic interference mean value;
s2: establishing rectangular coordinate systems for line risk value and transmission interference value as Y axes by taking the number of sub-time periods as X axes, respectively drawing a line risk value curve and a transmission interference value curve in a dot drawing mode, respectively drawing a preset line risk value curve and a preset transmission interference value curve in coordinate systems corresponding to the line risk value curve and the transmission interference value curve, further obtaining the sum value of the area surrounded by the line segment above the preset line risk value curve and the area surrounded by the transmission interference value curve above the preset transmission interference value curve and the preset transmission interference value curve, marking the sum value as a risk evaluation coefficient, and comparing the risk evaluation coefficient with a preset risk evaluation coefficient threshold value recorded and stored in the risk evaluation coefficient threshold value:
if the risk assessment coefficient is smaller than a preset risk assessment coefficient threshold value, generating a normal signal;
if the risk assessment coefficient is greater than or equal to a preset risk assessment coefficient threshold, generating an abnormal signal.
Preferably, the operation supervision feedback evaluation analysis process of the feature supervision unit is as follows:
the characteristic difference value of the inner barrel shaft motor in each sub-time period is obtained, the characteristic difference value represents the number of the values corresponding to the operation characteristic parameters exceeding a preset threshold value, the product value is obtained after data normalization processing is carried out on the part, corresponding to the operation characteristic parameters, of the values exceeding the preset threshold value, the operation characteristic parameters comprise an abnormal sound risk value and an oil temperature risk value, the abnormal sound risk value represents the acute angle degree formed by the first intersection of the abnormal sound characteristic curve and the preset abnormal sound characteristic curve, the product value is obtained after data normalization processing is carried out on the linear distance from the maximum peak point of the abnormal sound characteristic curve to the preset abnormal sound characteristic curve, the oil temperature risk value represents the time length corresponding to the first intersection of the oil temperature characteristic curve and the preset oil temperature characteristic curve, and the product value is obtained after data normalization processing is carried out on the oil temperature risk value;
acquiring an operation risk value of the cylinder shaft motor in a time threshold, wherein the operation risk value represents a ratio obtained by carrying out data normalization on the average value of the failure times of the cylinder shaft motor and the interval time length of the failure times, and then carrying out data normalization on the operation value of the cylinder shaft motor and a product value obtained by carrying out data normalization on the operation value of the cylinder shaft motor, and the operation value of the cylinder shaft motor represents a ratio of the total operation time length of the cylinder shaft motor to the time length from the time when the cylinder shaft motor is put into use to the current time.
Preferably, the in-depth comparison and analysis process of the feature supervision unit is as follows:
comparing and analyzing the characteristic difference value with a stored preset characteristic difference value threshold value, further constructing a set A of sub-time periods corresponding to the characteristic difference value larger than the preset characteristic difference value threshold value, obtaining the ratio of the total number of sub-sets in the set A to the total number of sub-time periods, marking the ratio as a characteristic duty ratio coefficient, and comparing the characteristic duty ratio coefficient and the running risk value with a stored preset characteristic duty ratio coefficient threshold value and a preset running risk value threshold value which are input in the characteristic duty ratio coefficient and the running risk value:
if the characteristic duty ratio coefficient is smaller than or equal to a preset characteristic duty ratio coefficient threshold value and the running risk value is smaller than or equal to a preset running risk value threshold value, no signal is generated;
and if the characteristic duty ratio coefficient is larger than a preset characteristic duty ratio coefficient threshold value or the running risk value is larger than a preset running risk value threshold value, generating a risk signal.
Preferably, the performance supervision feedback analysis process of the early warning feedback unit is as follows:
t1: the method comprises the steps of collecting a period of time after early warning equipment at the rear end of a cylinder shaft motor starts early warning time, marking the period of time as early warning time, obtaining early warning influence values of the early warning equipment at the rear end of the cylinder shaft motor in the early warning time, wherein the early warning influence values represent the ratio of the number of times that the delay time exceeds a preset delay time threshold value in early warning delay times to the early warning delay times, and then obtaining the ratio with the early warning delay trend values after data normalization processing, and the early warning delay trend values are obtained as follows: establishing a rectangular coordinate system by taking the times as an X axis and taking the interval time between the connected times as a Y axis, drawing an interval time curve in a dot drawing mode, further obtaining a change trend value of the interval time curve, and marking the change trend value as an early warning delay trend value;
t2: acquiring a performance deviation value of the early warning equipment at the rear end of the cylinder shaft motor in the early warning time, wherein the performance deviation value represents a product value obtained by carrying out data normalization processing on a part of the brightness value of the early warning lamp, which is lower than a preset brightness value threshold, and the flicker frequency, and respectively marking the early warning influence value and the performance deviation value as YJ and BP;
t3: according to the formulaObtaining early warning failure evaluation coefficients, wherein a1 and a2 are respectively preset scale factor coefficients of an early warning influence value and a performance deviation value, a1 and a2 are positive numbers larger than zero, a3 is a preset correction factor coefficient, the value is 1.228, F is the early warning failure evaluation coefficient, and the early warning failure evaluation coefficient F is compared with a preset early warning failure evaluation coefficient threshold value recorded and stored in the early warning failure evaluation coefficient F:
if the ratio between the early warning failure evaluation coefficient F and the preset early warning failure evaluation coefficient threshold is smaller than or equal to 1, generating a feedback signal;
if the ratio between the early warning failure evaluation coefficient F and the preset early warning failure evaluation coefficient threshold is greater than 1, generating an alarm signal.
Preferably, the in-depth management matching analysis process of the management matching unit is as follows:
acquiring a risk evaluation coefficient corresponding to a normal signal, acquiring an early warning failure evaluation coefficient F corresponding to a feedback signal, acquiring a sum value of a part with a characteristic ratio coefficient larger than a preset characteristic ratio coefficient threshold and a part with an operation risk value larger than a preset operation risk value threshold, marking the sum value of the part with the characteristic ratio coefficient larger than the preset characteristic ratio coefficient threshold and the part with the operation risk value larger than the preset operation risk value threshold as a demand evaluation value, and marking the risk evaluation coefficient and the demand evaluation value as FP and XQ respectively;
according to the formulaObtaining management fusion evaluation coefficients, wherein f1, f2 and f3 are respectively preset weight factor coefficients of an early warning failure evaluation coefficient, a risk evaluation coefficient and a demand evaluation value, f1, f2 and f3 are positive numbers larger than zero, f4 is a preset fault tolerance factor coefficient, the value is 1.882, R is the management fusion evaluation coefficient, and the management fusion evaluation coefficient R is compared with a preset management fusion evaluation coefficient threshold curve recorded and stored in the management fusion evaluation coefficient R:
if the management fusion evaluation coefficient R is positioned above a preset management fusion evaluation coefficient threshold curve, generating a primary maintenance signal;
if the management fusion evaluation coefficient R is overlapped with a preset management fusion evaluation coefficient threshold curve, generating a secondary maintenance signal;
and if the management fusion evaluation coefficient R is positioned below a preset management fusion evaluation coefficient threshold curve, generating a three-level maintenance signal.
The beneficial effects of the invention are as follows:
(1) The invention judges whether the line is normal or not through the line data of the cylinder shaft motor and carries out safety supervision evaluation analysis so as to ensure the accuracy of the follow-up analysis result and the effectiveness of early warning, and on the premise of normal line, the invention carries out operation supervision feedback evaluation analysis on the operation characteristic data and the early warning characteristic data of the front cylinder shaft motor so as to judge whether the operation of the cylinder shaft motor is normal or not, so as to timely carry out early warning management, so as to improve the operation safety and the management timeliness of the cylinder shaft motor, and carries out performance supervision feedback analysis on the early warning characteristic data of the back end early warning equipment so as to timely manage the back end early warning, so as to ensure the effectiveness and the early warning effect of the back end early warning;
(2) The invention rationalizes and manages the abnormal cylinder shaft motor in an information feedback mode, and simultaneously combines the back-end early warning condition and the line condition to carry out reasonable and targeted management so as to rationalize and manage according to different management grades, thereby ensuring the rationality and the early warning timeliness of the management of the cylinder shaft motor.
Drawings
The invention is further described below with reference to the accompanying drawings;
FIG. 1 is a flow chart of the system of the present invention;
fig. 2 is a partial analysis reference diagram of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. 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.
Embodiment one:
referring to fig. 1 to 2, the invention discloses a cylinder shaft motor with fault diagnosis and alarm functions, which comprises a supervision platform, a data acquisition unit, a front end safety unit, a characteristic supervision unit, an early warning feedback unit, a management matching unit and an early warning processing unit, wherein the supervision platform is in one-way communication connection with the data acquisition unit, the data acquisition unit is in one-way communication connection with the front end safety unit and the characteristic supervision unit, the front end safety unit is in two-way communication connection with the characteristic supervision unit, the front end safety unit is in one-way communication connection with the early warning feedback unit and the management matching unit, the early warning feedback unit is in one-way communication connection with the management matching unit, and the management matching unit is in one-way communication connection with the early warning processing unit;
when the supervision platform generates a management command and sends the management command to the data acquisition unit, the data acquisition unit immediately acquires line data and operation characteristic data of the cylinder shaft motor after receiving the management command, the line data comprises a transmission interference value and a line risk value, the operation characteristic data comprises a characteristic difference value and an operation risk value, the line data and the operation characteristic data are respectively sent to the front-end safety unit and the characteristic supervision unit, and the front-end safety unit immediately carries out safety supervision evaluation analysis on the line data after receiving the line data so as to judge whether the line is normal or not to ensure the effectiveness of a subsequent analysis result and early warning, and the specific safety supervision evaluation analysis process is as follows:
acquiring the time length from the starting operation time to the ending operation time of the cylinder shaft motor, marking the time length as a time threshold, dividing the time threshold into i subtime periods, wherein i is a natural number larger than zero, dividing the subtime periods into o subtime nodes, wherein o is a natural number larger than zero, acquiring a line risk value of the cylinder shaft motor line in each subtime period, wherein the line risk value represents the number of subtime nodes corresponding to the temperature rising speed threshold value in the unit time of the line in the cylinder shaft motor, and then carrying out data normalization processing on the product value obtained by the part of the temperature rising speed in the unit time exceeding the temperature rising speed threshold value in the unit time, and simultaneously acquiring a transmission interference value of the cylinder shaft motor line in each subtime period, wherein the transmission interference value represents the product value obtained by carrying out data normalization processing on the part of the conduction resistance value of the line in the cylinder shaft motor exceeding the preset conduction resistance value threshold value and the environmental electromagnetic interference mean value;
establishing rectangular coordinate systems for line risk value and transmission interference value as Y axes by taking the number of sub-time periods as X axes, respectively drawing a line risk value curve and a transmission interference value curve in a dot drawing mode, respectively drawing a preset line risk value curve and a preset transmission interference value curve in coordinate systems corresponding to the line risk value curve and the transmission interference value curve, further obtaining the sum value of the area surrounded by the line segment above the preset line risk value curve and the area surrounded by the transmission interference value curve above the preset transmission interference value curve and the preset transmission interference value curve, marking the sum value as a risk evaluation coefficient, and comparing the risk evaluation coefficient with a preset risk evaluation coefficient threshold value recorded and stored in the risk evaluation coefficient threshold value:
if the risk assessment coefficient is smaller than a preset risk assessment coefficient threshold value, generating a normal signal, and sending the normal signal to a characteristic supervision unit and an early warning feedback unit;
if the risk assessment coefficient is greater than or equal to a preset risk assessment coefficient threshold value, generating an abnormal signal, sending the abnormal signal to an early warning processing unit through a management matching unit, and immediately making a preset early warning operation corresponding to the abnormal signal after the early warning processing unit receives the abnormal signal, so that the circuit in the cylinder shaft motor is managed in time, the influence of the circuit on subsequent data acquisition and transmission is reduced, the management timeliness and the effectiveness of the cylinder shaft motor are improved, and meanwhile, the early warning effect of the cylinder shaft motor is improved;
the characteristic supervision unit immediately performs operation supervision feedback evaluation analysis on the operation characteristic data after receiving the normal signal and the operation characteristic data so as to judge whether the operation of the cylinder shaft motor is normal or not, so that early warning management can be performed timely, the operation safety and the management timeliness of the cylinder shaft motor are improved, and the specific operation supervision feedback evaluation analysis process is as follows:
the method comprises the steps that a characteristic difference value of an inner barrel shaft motor in each sub-time period is obtained, the characteristic difference value represents the number of the corresponding numerical value of an operation characteristic parameter exceeding a preset threshold value, then the product value is obtained after data normalization processing is carried out on the part of the corresponding numerical value of the operation characteristic parameter exceeding the preset threshold value, the operation characteristic parameter comprises an abnormal sound risk value, an oil temperature risk value and the like, the abnormal sound risk value represents the acute angle degree formed by the first intersection of an abnormal sound characteristic curve and the preset abnormal sound characteristic curve, then the product value is obtained after data normalization processing is carried out on the linear distance from the maximum peak point of the abnormal sound characteristic curve to the preset abnormal sound characteristic curve, the oil temperature risk value represents the corresponding duration of the first intersection of the oil temperature characteristic curve and the preset oil temperature characteristic curve, and then the product value is obtained after data normalization processing is carried out on the oil temperature mean value, and the larger numerical value of the characteristic difference value is required to be explained, the abnormal running risk of the barrel shaft motor is higher;
acquiring an operation risk value of the cylinder shaft motor in a time threshold, wherein the operation risk value represents a ratio obtained by carrying out data normalization on the average value of the failure times of the cylinder shaft motor and the interval time length of the failure times, and a product value obtained by carrying out data normalization on the operation value of the cylinder shaft motor and the operation value of the cylinder shaft motor, and the operation value of the cylinder shaft motor represents a ratio of the total operation time length of the cylinder shaft motor to the time length from the moment when the cylinder shaft motor is put into use to the current moment, and the fact that the larger the value of the operation risk value is, the higher the operation abnormal risk of the cylinder shaft motor is;
comparing and analyzing the characteristic difference value with a stored preset characteristic difference value threshold value, further constructing a set A of sub-time periods corresponding to the characteristic difference value larger than the preset characteristic difference value threshold value, obtaining the ratio of the total number of sub-sets in the set A to the total number of sub-time periods, marking the ratio as a characteristic duty ratio coefficient, and comparing the characteristic duty ratio coefficient and the running risk value with a stored preset characteristic duty ratio coefficient threshold value and a preset running risk value threshold value which are input in the characteristic duty ratio coefficient and the running risk value:
if the characteristic duty ratio coefficient is smaller than or equal to a preset characteristic duty ratio coefficient threshold value and the running risk value is smaller than or equal to a preset running risk value threshold value, no signal is generated;
if the characteristic duty ratio coefficient is larger than a preset characteristic duty ratio coefficient threshold value or the operation risk value is larger than a preset operation risk value threshold value, a risk signal is generated, and the risk signal is sent to the management matching unit through the front-end safety unit.
Embodiment two:
the early warning feedback unit immediately collects early warning characteristic data of the cylinder shaft motor after receiving the normal signal, the early warning characteristic data represent early warning influence values and performance deviation values, and performs performance supervision feedback analysis on the early warning characteristic data so as to timely manage the rear-end early warning, so that the effectiveness and the early warning effect of the rear-end early warning are ensured, and the specific performance supervision feedback analysis process is as follows:
the method comprises the steps of collecting a period of time after early warning equipment at the rear end of a cylinder shaft motor starts early warning time, marking the period of time as early warning time, obtaining early warning influence values of the early warning equipment at the rear end of the cylinder shaft motor in the early warning time, wherein the early warning influence values represent the ratio of the number of times that the delay time exceeds a preset delay time threshold value in early warning delay times to the early warning delay times, and then obtaining the ratio with the early warning delay trend values after data normalization processing, and the early warning delay trend values are obtained as follows: establishing a rectangular coordinate system by taking the times as an X axis and taking the interval time between the connected times as a Y axis, drawing an interval time curve in a dot drawing mode, further obtaining a change trend value of the interval time curve, and marking the change trend value as an early warning delay trend value, wherein the larger the value of an early warning influence value is, the higher the abnormal risk of early warning equipment at the rear end of the cylinder shaft motor is;
acquiring a performance deviation value of the early warning equipment at the rear end of the cylinder shaft motor in the early warning time, wherein the performance deviation value represents a product value obtained by carrying out data normalization processing on a part of the brightness value of the early warning lamp, which is lower than a preset brightness value threshold, and the flicker frequency, and respectively marking the early warning influence value and the performance deviation value as YJ and BP;
according to the formulaObtaining early warning failure evaluation coefficients, wherein a1 and a2 are respectively preset scale factor coefficients of an early warning influence value and a performance deviation value, the scale factor coefficients are used for correcting deviation of various parameters in a formula calculation process, so that calculation results are more accurate, a1 and a2 are positive numbers larger than zero, a3 is a preset correction factor coefficient, the value is 1.228, F is an early warning failure evaluation coefficient, and the early warning failure evaluation coefficient F is compared with a preset early warning failure evaluation coefficient threshold value recorded and stored in the early warning failure evaluation coefficient F:
if the ratio between the early warning failure evaluation coefficient F and the preset early warning failure evaluation coefficient threshold is smaller than or equal to 1, generating a feedback signal, and sending the feedback signal to a management matching unit;
if the ratio between the early warning failure evaluation coefficient F and the preset early warning failure evaluation coefficient threshold is greater than 1, generating an alarm signal, and sending the alarm signal to an early warning processing unit through a management matching unit, wherein the early warning processing unit immediately makes a preset early warning operation corresponding to the alarm signal after receiving the alarm signal, so that the rear end early warning is managed in time, and the effectiveness and the early warning effect of the rear end early warning are ensured;
after receiving the risk signal and the feedback signal, the management matching unit immediately carries out deep management matching analysis on the operation characteristic data corresponding to the risk signal, and then carries out reasonable and targeted management on the cylinder shaft motor in an information feedback mode so as to ensure the management rationality and early warning timeliness of the cylinder shaft motor, wherein the specific deep management matching analysis process is as follows:
acquiring a risk evaluation coefficient corresponding to a normal signal, acquiring an early warning failure evaluation coefficient F corresponding to a feedback signal, acquiring a sum value of a part with a characteristic ratio coefficient larger than a preset characteristic ratio coefficient threshold and a part with an operation risk value larger than a preset operation risk value threshold, marking the sum value of the part with the characteristic ratio coefficient larger than the preset characteristic ratio coefficient threshold and the part with the operation risk value larger than the preset operation risk value threshold as a demand evaluation value, and marking the risk evaluation coefficient and the demand evaluation value as FP and XQ respectively;
according to the formulaObtaining management fusion evaluation coefficients, wherein f1, f2 and f3 are respectively preset weight factor coefficients of an early warning failure evaluation coefficient, a risk evaluation coefficient and a demand evaluation value, f1, f2 and f3 are positive numbers larger than zero, f4 is a preset fault tolerance factor coefficient, the value is 1.882, R is the management fusion evaluation coefficient, and the management fusion evaluation coefficient R is compared with a preset management fusion evaluation coefficient threshold curve recorded and stored in the management fusion evaluation coefficient R:
if the management fusion evaluation coefficient R is positioned above a preset management fusion evaluation coefficient threshold curve, generating a primary maintenance signal;
if the management fusion evaluation coefficient R is overlapped with a preset management fusion evaluation coefficient threshold curve, generating a secondary maintenance signal;
if the management fusion evaluation coefficient R is positioned below a preset management fusion evaluation coefficient threshold curve, generating a three-level maintenance signal, wherein the management degrees corresponding to the first-level maintenance signal, the second-level maintenance signal and the three-level maintenance signal are sequentially reduced, and the first-level maintenance signal, the second-level maintenance signal and the three-level maintenance signal are sent to an early warning processing unit;
in summary, the invention judges whether the line is normal or not by the line data of the spool motor and performs safety supervision evaluation analysis, so as to ensure the accuracy and the early warning effectiveness of the subsequent analysis result, while on the premise that the line is normal, the operation characteristic data and the early warning characteristic data of the spool motor are analyzed from two angles of the front end and the rear end, so as to judge whether the spool motor is normal or not, so as to timely perform early warning management, so as to improve the operation safety and the management timeliness of the spool motor, perform performance supervision feedback analysis on the early warning characteristic data of the rear end early warning device, so as to timely perform management on the rear end early warning, so as to ensure the effectiveness and the early warning effect of the rear end early warning, and perform reasonable and targeted management on the abnormal spool motor by combining the rear end early warning condition and the line condition, so as to perform reasonable and targeted management according to different management grades, so as to ensure the management rationality and the early warning timeliness of the spool motor.
The size of the threshold is set for ease of comparison, and regarding the size of the threshold, the number of cardinalities is set for each set of sample data depending on how many sample data are and the person skilled in the art; as long as the proportional relation between the parameter and the quantized value is not affected.
The above formulas are all formulas obtained by collecting a large amount of data for software simulation and selecting a formula close to the true value, and coefficients in the formulas are set by a person skilled in the art according to practical situations, and the above is only a preferred embodiment of the present invention, but the protection scope of the present invention is not limited thereto, and any person skilled in the art is within the technical scope of the present invention, and the technical scheme and the inventive concept according to the present invention are equivalent to or changed and are all covered in the protection scope of the present invention.
Claims (6)
1. The cylinder shaft motor with the fault diagnosis and alarm functions is characterized by comprising a supervision platform, a data acquisition unit, a front-end safety unit, a characteristic supervision unit, an early warning feedback unit, a management matching unit and an early warning processing unit;
when the supervision platform generates a management command, the management command is sent to a data acquisition unit, the data acquisition unit immediately acquires line data and operation characteristic data of the cylinder shaft motor after receiving the management command, the line data comprises a transmission interference value and a line risk value, the operation characteristic data comprises a characteristic difference value and an operation risk value, the line data and the operation characteristic data are respectively sent to a front-end safety unit and a characteristic supervision unit, the front-end safety unit immediately carries out safety supervision evaluation analysis on the line data after receiving the line data, the obtained normal signal is sent to a characteristic supervision unit and an early warning feedback unit, and the obtained abnormal signal is sent to an early warning processing unit through a management matching unit;
the feature supervision unit immediately performs operation supervision feedback evaluation analysis and deep comparison analysis on the operation feature data after receiving the normal signals and the operation feature data, and sends the obtained risk signals to the management matching unit through the front-end security unit;
the early warning feedback unit immediately acquires early warning characteristic data of the cylinder shaft motor after receiving the normal signal, wherein the early warning characteristic data represent early warning influence values and performance deviation values, performs performance supervision feedback analysis on the early warning characteristic data, sends an obtained feedback signal to the management matching unit, and sends the obtained warning signal to the early warning processing unit through the management matching unit;
and the management matching unit immediately carries out deep management matching analysis on the operation characteristic data corresponding to the risk signal after receiving the risk signal and the feedback signal, and sends the obtained primary maintenance signal, secondary maintenance signal and tertiary maintenance signal to the early warning processing unit.
2. The spool motor with fault diagnosis and alarm function according to claim 1, wherein the safety supervision and evaluation analysis process of the front-end safety unit is as follows:
s1: acquiring the time length from the starting operation time to the ending operation time of the cylinder shaft motor, marking the time length as a time threshold, dividing the time threshold into i sub-time periods, wherein i is a natural number larger than zero, dividing the sub-time periods into o sub-time nodes, wherein o is a natural number larger than zero, acquiring a line risk value of a cylinder shaft motor line in each sub-time period, wherein the line risk value represents the number of sub-time nodes corresponding to the temperature rising speed threshold value in the cylinder shaft motor in unit time, carrying out data normalization processing on the product value obtained by the part of the cylinder shaft motor line in unit time, which exceeds the temperature rising speed threshold value in unit time, and simultaneously acquiring a transmission interference value of the cylinder shaft motor line in each sub-time period, wherein the transmission interference value represents the product value obtained by carrying out data normalization processing on the part of the conduction resistance value of the cylinder shaft motor in the line exceeding the preset conduction resistance value threshold value and an environmental electromagnetic interference mean value;
s2: establishing rectangular coordinate systems for line risk value and transmission interference value as Y axes by taking the number of sub-time periods as X axes, respectively drawing a line risk value curve and a transmission interference value curve in a dot drawing mode, respectively drawing a preset line risk value curve and a preset transmission interference value curve in coordinate systems corresponding to the line risk value curve and the transmission interference value curve, further obtaining the sum value of the area surrounded by the line segment above the preset line risk value curve and the area surrounded by the transmission interference value curve above the preset transmission interference value curve and the preset transmission interference value curve, marking the sum value as a risk evaluation coefficient, and comparing the risk evaluation coefficient with a preset risk evaluation coefficient threshold value recorded and stored in the risk evaluation coefficient threshold value:
if the risk assessment coefficient is smaller than a preset risk assessment coefficient threshold value, generating a normal signal;
if the risk assessment coefficient is greater than or equal to a preset risk assessment coefficient threshold, generating an abnormal signal.
3. The spool motor with fault diagnosis and alarm function according to claim 1, wherein the operation supervision feedback evaluation analysis process of the feature supervision unit is as follows:
the characteristic difference value of the inner barrel shaft motor in each sub-time period is obtained, the characteristic difference value represents the number of the values corresponding to the operation characteristic parameters exceeding a preset threshold value, the product value is obtained after data normalization processing is carried out on the part, corresponding to the operation characteristic parameters, of the values exceeding the preset threshold value, the operation characteristic parameters comprise an abnormal sound risk value and an oil temperature risk value, the abnormal sound risk value represents the acute angle degree formed by the first intersection of the abnormal sound characteristic curve and the preset abnormal sound characteristic curve, the product value is obtained after data normalization processing is carried out on the linear distance from the maximum peak point of the abnormal sound characteristic curve to the preset abnormal sound characteristic curve, the oil temperature risk value represents the time length corresponding to the first intersection of the oil temperature characteristic curve and the preset oil temperature characteristic curve, and the product value is obtained after data normalization processing is carried out on the oil temperature risk value;
acquiring an operation risk value of the cylinder shaft motor in a time threshold, wherein the operation risk value represents a ratio obtained by carrying out data normalization on the average value of the failure times of the cylinder shaft motor and the interval time length of the failure times, and then carrying out data normalization on the operation value of the cylinder shaft motor and a product value obtained by carrying out data normalization on the operation value of the cylinder shaft motor, and the operation value of the cylinder shaft motor represents a ratio of the total operation time length of the cylinder shaft motor to the time length from the time when the cylinder shaft motor is put into use to the current time.
4. The cartridge shaft motor with fault diagnosis and alarm function according to claim 1, wherein the in-depth comparison and analysis process of the feature supervision unit is as follows:
comparing and analyzing the characteristic difference value with a stored preset characteristic difference value threshold value, further constructing a set A of sub-time periods corresponding to the characteristic difference value larger than the preset characteristic difference value threshold value, obtaining the ratio of the total number of sub-sets in the set A to the total number of sub-time periods, marking the ratio as a characteristic duty ratio coefficient, and comparing the characteristic duty ratio coefficient and the running risk value with a stored preset characteristic duty ratio coefficient threshold value and a preset running risk value threshold value which are input in the characteristic duty ratio coefficient and the running risk value:
if the characteristic duty ratio coefficient is smaller than or equal to a preset characteristic duty ratio coefficient threshold value and the running risk value is smaller than or equal to a preset running risk value threshold value, no signal is generated;
and if the characteristic duty ratio coefficient is larger than a preset characteristic duty ratio coefficient threshold value or the running risk value is larger than a preset running risk value threshold value, generating a risk signal.
5. The cylinder shaft motor with the fault diagnosis and alarm function according to claim 1, wherein the performance supervision feedback analysis process of the early warning feedback unit is as follows:
t1: the method comprises the steps of collecting a period of time after early warning equipment at the rear end of a cylinder shaft motor starts early warning time, marking the period of time as early warning time, obtaining early warning influence values of the early warning equipment at the rear end of the cylinder shaft motor in the early warning time, wherein the early warning influence values represent the ratio of the number of times that the delay time exceeds a preset delay time threshold value in early warning delay times to the early warning delay times, and then obtaining the ratio with the early warning delay trend values after data normalization processing, and the early warning delay trend values are obtained as follows: establishing a rectangular coordinate system by taking the times as an X axis and taking the interval time between the connected times as a Y axis, drawing an interval time curve in a dot drawing mode, further obtaining a change trend value of the interval time curve, and marking the change trend value as an early warning delay trend value;
t2: acquiring a performance deviation value of the early warning equipment at the rear end of the cylinder shaft motor in the early warning time, wherein the performance deviation value represents a product value obtained by carrying out data normalization processing on a part of the brightness value of the early warning lamp, which is lower than a preset brightness value threshold, and the flicker frequency, and respectively marking the early warning influence value and the performance deviation value as YJ and BP;
t3: according to the formulaObtaining early warning failure evaluation coefficients, wherein a1 and a2 are respectively preset scale factor coefficients of an early warning influence value and a performance deviation value, a1 and a2 are positive numbers larger than zero, a3 is a preset correction factor coefficient, the value is 1.228, F is the early warning failure evaluation coefficient, and the early warning failure evaluation coefficient F is compared with a preset early warning failure evaluation coefficient threshold value recorded and stored in the early warning failure evaluation coefficient F:
if the ratio between the early warning failure evaluation coefficient F and the preset early warning failure evaluation coefficient threshold is smaller than or equal to 1, generating a feedback signal;
if the ratio between the early warning failure evaluation coefficient F and the preset early warning failure evaluation coefficient threshold is greater than 1, generating an alarm signal.
6. The spool motor with fault diagnosis alarm function according to claim 1, wherein the in-depth management matching analysis process of the management matching unit is as follows:
acquiring a risk evaluation coefficient corresponding to a normal signal, acquiring an early warning failure evaluation coefficient F corresponding to a feedback signal, acquiring a sum value of a part with a characteristic ratio coefficient larger than a preset characteristic ratio coefficient threshold and a part with an operation risk value larger than a preset operation risk value threshold, marking the sum value of the part with the characteristic ratio coefficient larger than the preset characteristic ratio coefficient threshold and the part with the operation risk value larger than the preset operation risk value threshold as a demand evaluation value, and marking the risk evaluation coefficient and the demand evaluation value as FP and XQ respectively;
according to the formulaObtaining management fusion evaluation coefficients, wherein f1, f2 and f3 are respectively preset weight factor coefficients of an early warning failure evaluation coefficient, a risk evaluation coefficient and a demand evaluation value, f1, f2 and f3 are positive numbers larger than zero, f4 is a preset fault tolerance factor coefficient, the value is 1.882, R is the management fusion evaluation coefficient, and the management fusion evaluation coefficient R is compared with a preset management fusion evaluation coefficient threshold curve recorded and stored in the management fusion evaluation coefficient R:
if the management fusion evaluation coefficient R is positioned above a preset management fusion evaluation coefficient threshold curve, generating a primary maintenance signal;
if the management fusion evaluation coefficient R is overlapped with a preset management fusion evaluation coefficient threshold curve, generating a secondary maintenance signal;
and if the management fusion evaluation coefficient R is positioned below a preset management fusion evaluation coefficient threshold curve, generating a three-level maintenance signal.
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