CN111267620A - Cloud computing-based automobile motor carrying monitoring control system - Google Patents
Cloud computing-based automobile motor carrying monitoring control system Download PDFInfo
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- CN111267620A CN111267620A CN202010202194.9A CN202010202194A CN111267620A CN 111267620 A CN111267620 A CN 111267620A CN 202010202194 A CN202010202194 A CN 202010202194A CN 111267620 A CN111267620 A CN 111267620A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L3/00—Electric devices on electrically-propelled vehicles for safety purposes; Monitoring operating variables, e.g. speed, deceleration or energy consumption
- B60L3/0023—Detecting, eliminating, remedying or compensating for drive train abnormalities, e.g. failures within the drive train
- B60L3/0061—Detecting, eliminating, remedying or compensating for drive train abnormalities, e.g. failures within the drive train relating to electrical machines
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L2240/00—Control parameters of input or output; Target parameters
- B60L2240/40—Drive Train control parameters
- B60L2240/42—Drive Train control parameters related to electric machines
- B60L2240/425—Temperature
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L2240/00—Control parameters of input or output; Target parameters
- B60L2240/40—Drive Train control parameters
- B60L2240/42—Drive Train control parameters related to electric machines
- B60L2240/427—Voltage
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L2240/00—Control parameters of input or output; Target parameters
- B60L2240/40—Drive Train control parameters
- B60L2240/42—Drive Train control parameters related to electric machines
- B60L2240/429—Current
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02T90/10—Technologies relating to charging of electric vehicles
- Y02T90/16—Information or communication technologies improving the operation of electric vehicles
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Abstract
The invention discloses an automobile motor carrying monitoring control system based on cloud computing, which comprises a data acquisition module, a data analysis module, a controller, a signal processing module, an information collection module and a data interconnection module, wherein the data acquisition module is used for acquiring data; the invention combines the real-time carrying condition of the automobile motor with the working environment condition, obtains the real-time motor carrying condition through data definition marking, weighted formula analysis and comparison, and associates the real-time motor carrying condition with the time interval running condition of the automobile motor and the driving interference condition of the automobile vehicle, obtains the time interval motor interference-free running condition through data definition marking, correction formula analysis, interference-free formula analysis and signal combination comparison processing, and makes a targeted feedback prompt measure according to the time interval motor interference-free running condition, namely, the precision of the analysis process and the accuracy of the analysis result are improved according to the mode of dual interference-free and real-time interval matching, so as to avoid the occurrence of false alarm caused by the carrying instantaneous fluctuation or sudden instantaneous abnormality of the automobile motor.
Description
Technical Field
The invention relates to the technical field of automobile motor monitoring, in particular to an automobile motor carrying monitoring control system based on cloud computing.
Background
The automobile motor mainly refers to a type of electromagnetic device which realizes the conversion or transmission of electric energy according to the electromagnetic induction phenomenon; its main function is to generate driving torque for use as a power source for automotive vehicles. The automobile motors can be classified into ac motors, dc motors, ac/dc motors, control motors, signal motors, and the like, and most of the automobile motors mounted on the automobile are dc motors and ac motors.
In the document with the publication number CN106353678A, the motor to be tested is monitored only according to the monitoring interface and the management system, so as to check the test data in real time, and form an effective data curve graph, so that the operator can check the change process of different values in the test process more intuitively, so as to control and monitor the motor quality effectively, and the method is combined with the existing automobile motor carrying monitoring control system;
most of the existing automobile motor carrying monitoring control systems evaluate the quality condition of an automobile motor through a single threshold monitoring mode, lack of deep data analysis and processing processes, and have monotonous evaluation mode and lower accuracy; meanwhile, the real-time carrying condition of the automobile motor is difficult to combine with the working environment condition, and the real-time carrying condition of the automobile motor is connected with the time period running condition of the automobile motor and the driving interference condition of the automobile vehicle, so that the accuracy of the analysis process and the accuracy of the analysis result are improved according to a mode of dual interference removal and real-time period pairing, and the condition of false alarm caused by carrying instantaneous fluctuation or sudden instantaneous abnormality of the automobile motor is avoided;
in order to solve the above-mentioned drawbacks, a technical solution is now provided.
Disclosure of Invention
The invention aims to provide an automobile motor carrying monitoring control system based on cloud computing, which combines the real-time carrying condition of an automobile motor with the working environment condition, obtains the real-time motor carrying condition through data definition marking and weighted formula analysis and comparison, the time-interval running condition of the motor of the automobile is related to the driving interference condition of the automobile, the interference-free running condition of the motor of the time interval is obtained through data definition marking, correction formula analysis, interference-free formula analysis and signal combination comparison processing, and a targeted feedback prompt measure is made according to the interference-free running condition, namely, the accuracy of the analysis process and the accuracy of the analysis result are improved according to the mode of dual interference elimination and real-time period matching, so as to avoid the situation of false alarm caused by the instant fluctuation or sudden instant abnormality of the carrying of the automobile motor.
The technical problems to be solved by the invention are as follows:
how to solve the problems that the quality condition of the automobile motor is mostly evaluated in a single threshold monitoring mode, a deep data analysis and processing process is lacked, and the evaluation mode is monotonous and low in accuracy in the conventional automobile motor carrying monitoring control system according to an effective mode; meanwhile, the real-time carrying condition of the automobile motor is difficult to combine with the working environment condition, and the real-time carrying condition of the automobile motor is connected with the time interval running condition of the automobile motor and the driving interference condition of the automobile vehicle, so that the accuracy of the analysis process and the accuracy of the analysis result are improved according to a mode of dual interference removal and real-time interval pairing, and the problem of false alarm caused by carrying instantaneous fluctuation or sudden instantaneous abnormality of the automobile motor is solved.
The purpose of the invention can be realized by the following technical scheme:
a cloud computing-based automobile motor carrying monitoring control system comprises a data acquisition module, a data analysis module, a controller, a signal processing module, an information collection module and a data interconnection module;
the data acquisition module is used for acquiring the carrying environment condition information of the automobile motor in real time when the automobile runs and transmitting the carrying environment condition information to the data analysis module;
the data analysis module carries out real-time carrying monitoring analysis operation on the automobile motor according to the carrying environment condition information of the automobile motor when the automobile runs, which is received in real time, so as to obtain a real-time deep fault monitoring signal or a carrying normal signal, and transmits the real-time deep fault monitoring signal or the carrying normal signal to the signal processing module through the controller;
the signal processing module is used for acquiring the time-interval driving quantity information of the automobile when the automobile runs in real time and storing the time-interval driving quantity information into the internal folder;
after the signal processing module receives the real-time carrying normal signal, no processing is performed; after receiving the real-time deep fault monitoring signal, the signal processing module calls the time-interval running quantity information of the automobile motor during the automobile running in the first time interval after the moment from the information collecting module, obtains the time-interval driving quantity information of the automobile during the automobile running in the first time interval after the moment from the signal processing module, performs interference elimination time-interval monitoring and overlapping analysis operation on the two types of information together to obtain a motor fault confirmation alarm signal, a comprehensive condition overhaul recording signal or an error alarm signal in the first time interval, and transmits the motor fault confirmation alarm signal, the comprehensive condition overhaul recording signal or the error alarm signal to the data interconnection module;
the information collection module is used for collecting the time-interval running quantity information of the automobile motor in real time when the automobile runs and storing the time-interval running quantity information into the internal folder;
the data interconnection module edits a text of 'motor carrying abnormity' according to the received motor fault confirmation alarm signal in the first time period, and the text is sent to a display screen through a color mark; the data interconnection module records the total occurrence times of the comprehensive condition overhaul recording signals in a first time period according to the received comprehensive condition overhaul recording signals, and when the recorded total occurrence times of the comprehensive condition overhaul recording signals exceed a threshold range, a text of 'motor carrying fluctuation and to-be-overhauled adjustment' is edited and sent to a display screen through letter marks; and the data interconnection module edits a text of 'recording abnormality instantly and paying attention to a driving mode' according to the received false alarm signal in the first time period and sends the text to the display screen.
Further, the carrying environment condition information of the automobile motor during the running of the automobile consists of current difference quantity, noise ratio quantity and temperature difference ratio quantity of the automobile motor during the running of the automobile; the current difference is the difference between the working current value and the rated current value, the noise ratio is the ratio of working noise decibel to environmental noise decibel, the temperature difference ratio is the difference between the working temperature value and the rated temperature value, and the difference is divided by the environmental temperature value, and the data are obtained by a sensor, a monitor and the like;
the specific mode of the real-time carrying monitoring analysis operation is as follows:
firstly, acquiring carrying environment condition information of an automobile motor in real time when the automobile runs, and respectively marking current difference quantity, noise ratio quantity and temperature difference ratio quantity as Q, W and E; obtaining a real-time carrying index R of the automobile motor when the automobile runs according to a formula R-Q + W + E, wherein Q, W and E are all weight coefficients, Q is larger than E and is larger than W, and Q + W + E is 5.2182; and when the carrying index R of the automobile motor is larger than or equal to the preset value R or smaller than the preset value R during real-time automobile running, respectively generating a depth fault monitoring signal or a carrying normal signal.
Further, the time-interval operation quantity information of the automobile motor during the running of the automobile consists of a temperature step, a vibration step and a power step of the automobile motor during the running of the automobile; the temperature level is the ratio of the average value of the working temperature to the variation of the working temperature, the vibration level is the ratio of the average value of the vibration frequency to the variation of the rotation speed, and the power level is the product of the variation of the working voltage and the variation of the working power, and the data are obtained by a sensor, a monitor and the like; the time-interval driving amount information of the automobile during the running of the automobile consists of the speed variation, the damping distance and the vertical displacement of the automobile during the running of the automobile; the damping distance is the total movement distance data of all the dampers, the vertical displacement is the total displacement data of the vertical ascending or descending, and the data are obtained by a sensor, a monitor and the like;
the specific steps of the interference-free period monitoring fold-in analysis operation are as follows:
the method comprises the following steps: acquiring time-interval driving quantity information of an automobile when the automobile runs in a first time interval, and respectively calibrating the speed variation, the damping distance and the vertical displacement as T, Y and U, and acquiring time-interval running quantity information of an automobile motor when the automobile runs in the first time interval, and respectively calibrating a temperature level, a vibration level and a power level as A, S and D, wherein the first time interval represents the duration of three hundred seconds;
step two: first according to the formula
Obtaining a stability factor P of the automobile when the automobile runs in a first time period, wherein t, y and u are driving correction factors, y is larger than t and larger than u, and t + y + u is 5.6114; then according to the formula
Obtaining the fluctuation factors F, a, s and d of the automobile motor when the automobile runs in the first time period, wherein the fluctuation factors F, a, s and d are motor carrying and correcting factors, and p is a motor dry factorPerturbation factor, p is greater than s is greater than d and a + s + d + p is 4.2881;
step three: when the stability factor P of the automobile in the first time period is larger than or equal to a preset value sigma, generating a driving fluctuation signal, otherwise, generating a driving stability signal; when the fluctuation factor F of the automobile motor in the first time period is larger than or equal to a preset value delta during the running of the automobile, generating a motor carrying abnormal signal, otherwise, generating a motor carrying normal signal; when the driving stable signal is combined with the motor carrying abnormal signal, a motor fault confirmation alarm signal is generated, when the driving fluctuation signal is combined with the motor carrying abnormal signal, a comprehensive condition maintenance record signal is generated, when the driving stable signal is combined with the motor carrying normal signal, and when the driving fluctuation signal is combined with the motor carrying normal signal, a false alarm signal is generated.
The invention has the beneficial effects that:
the invention collects the carrying environment condition information of the automobile motor in real time when the automobile runs, and the carrying environment condition information of the automobile motor when the automobile runs consists of the current difference quantity, the noise ratio quantity and the temperature difference ratio quantity of the automobile motor when the automobile runs; the current difference is the difference between the working current value and the rated current value, the noise ratio is the ratio of working noise decibel to environmental noise decibel, and the temperature difference ratio is the difference between the working temperature value and the rated temperature value, divided by the environmental temperature value; carrying out real-time carrying monitoring analysis operation on the depth fault monitoring system, namely carrying out data definition marking and weighting formula analysis and comparison on current difference, noise ratio and temperature difference ratio corresponding to carrying environment condition information of an automobile motor when the automobile runs to obtain a real-time depth fault monitoring signal or carrying normal signal;
after receiving the real-time carrying normal signal, no processing is carried out; after receiving the real-time deep fault monitoring signal, calling the time interval operation quantity information of the automobile motor when the automobile runs in a first time interval after the time, and obtaining the time interval driving quantity information of the automobile when the automobile runs in a first time interval after the time, and carrying out interference elimination time interval monitoring and overlapping analysis operation on the two types of information, namely the vehicle speed variation, the damping distance and the vertical displacement corresponding to the time-interval driving amount information of the automobile when the automobile runs, the temperature level, the vibration level and the power level corresponding to the time-interval operation quantity information of the automobile motor during the running of the automobile are subjected to data definition marking, correction formula analysis, interference-free formula analysis and signal combination comparison processing to obtain a motor fault confirmation alarm signal, a comprehensive condition maintenance record signal or a false alarm signal in a first time interval;
the time-interval driving quantity information of the automobile during the running of the automobile is collected in real time and stored in an internal folder, and the time-interval driving quantity information of the automobile during the running of the automobile consists of the speed variation, the damping distance and the vertical displacement of the automobile during the running of the automobile; the damping distance is the total movement distance data of all the dampers, and the vertical displacement is the total displacement data of ascending or descending in the vertical direction;
the time-interval operation quantity information of the automobile motor during automobile running is collected in real time and stored in an internal folder, and the time-interval operation quantity information of the automobile motor during automobile running is composed of a temperature level, a vibration level and a power level of the automobile motor during automobile running; the temperature level is the ratio of the average value of the working temperature to the variation of the working temperature, the vibration level is the ratio of the average value of the vibration frequency to the variation of the rotation speed, and the power level is the product of the variation of the working voltage and the variation of the working power;
editing a 'motor carrying abnormity' text according to the received motor fault confirmation alarm signal in the first time period, and sending the text to a display screen through a color mark; recording the total occurrence frequency of the comprehensive overhaul recording signals in a first time period according to the received comprehensive overhaul recording signals, and editing a text of 'motor carrying fluctuation and to-be-overhauled adjustment' to send the text to a display screen through letter marks when the recorded total occurrence frequency of the comprehensive overhaul recording signals exceeds a threshold range; editing a text of 'recording abnormality instantly and paying attention to a driving mode' according to the received false alarm signal in the first time period, and sending the text to a display screen;
the real-time carrying condition of the automobile motor is combined with the working environment condition, the real-time motor carrying condition is obtained through data definition marking, weighted formula analysis and comparison, the real-time motor carrying condition is associated with the time interval running condition of the automobile motor and the driving interference condition of the automobile, the time interval motor interference-removing running condition is obtained through data definition marking, correction formula analysis, interference-removing formula analysis and signal combination comparison processing, and a targeted feedback prompt measure is made according to the time interval motor interference-removing condition, namely the accuracy of an analysis process and the accuracy of an analysis result are improved according to a mode of dual interference-removing and real-time interval matching, so that the situation of false alarm caused by carrying instantaneous fluctuation or sudden instantaneous abnormality of the automobile motor is avoided.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings;
FIG. 1 is a block diagram of the system of the present invention.
Detailed Description
As shown in fig. 1, an automobile motor carrying monitoring control system based on cloud computing includes a data acquisition module, a data analysis module, a controller, a signal processing module, an information collection module and a data interconnection module;
the data acquisition module acquires the carrying environment condition information of the automobile motor in real time when the automobile runs and transmits the carrying environment condition information to the data analysis module, and the carrying environment condition information of the automobile motor when the automobile runs consists of the current difference quantity, the noise ratio quantity and the temperature difference ratio quantity of the automobile motor when the automobile runs; the current difference is the difference between the working current value and the rated current value, the noise ratio is the ratio of working noise decibel to environmental noise decibel, the temperature difference ratio is the difference between the working temperature value and the rated temperature value, and the difference is divided by the environmental temperature value, and the data are obtained by a sensor, a monitor and the like;
the data analysis module carries out real-time carrying monitoring analysis operation on the vehicle motor according to the real-time received carrying environment condition information of the vehicle motor when the vehicle runs, and the specific mode is as follows:
firstly, acquiring carrying environment condition information of an automobile motor in real time when the automobile runs, and respectively marking current difference quantity, noise ratio quantity and temperature difference ratio quantity as Q, W and E; obtaining a real-time carrying index R of the automobile motor when the automobile runs according to a formula R-Q + W + E, wherein Q, W and E are all weight coefficients, Q is larger than E and is larger than W, and Q + W + E is 5.2182; when the carrying index R of the automobile motor is larger than or equal to a preset value R or smaller than the preset value R during real-time automobile running, respectively generating a depth fault monitoring signal or a carrying normal signal;
and according to the obtained real-time depth fault monitoring signal or carrying normal signal, transmitting the real-time depth fault monitoring signal or carrying normal signal to the signal processing module through the controller;
the signal processing module acquires the time-interval driving quantity information of the automobile during the running of the automobile in real time and stores the time-interval driving quantity information into an internal folder, and the time-interval driving quantity information of the automobile during the running of the automobile consists of the speed variation, the damping distance and the vertical displacement of the automobile during the running of the automobile; the damping distance is the total movement distance data of all the dampers, the vertical displacement is the total displacement data of the vertical ascending or descending, and the data are obtained by a sensor, a monitor and the like;
after receiving the real-time carrying normal signal, the signal processing module does not perform any processing; after receiving the real-time deep fault monitoring signal, the signal processing module calls the time-interval operation quantity information of the automobile motor during automobile running in a first time interval after the time from the information collecting module, wherein the time-interval operation quantity information of the automobile motor during automobile running is composed of a temperature step, a vibration step and a power step of the automobile motor during automobile running; the temperature level is the ratio of the average value of the working temperature to the variation of the working temperature, the vibration level is the ratio of the average value of the vibration frequency to the variation of the rotation speed, and the power level is the product of the variation of the working voltage and the variation of the working power, and the data are obtained by a sensor, a monitor and the like; and acquiring the time-interval driving quantity information of the automobile when the automobile runs in a first time interval after the time from the signal processing module, and carrying out interference elimination time interval monitoring and overlapping analysis operation on the two types of information together, wherein the specific steps are as follows:
the method comprises the following steps: acquiring time-interval driving quantity information of an automobile when the automobile runs in a first time interval, and respectively calibrating the speed variation, the damping distance and the vertical displacement as T, Y and U, and acquiring time-interval running quantity information of an automobile motor when the automobile runs in the first time interval, and respectively calibrating a temperature level, a vibration level and a power level as A, S and D, wherein the first time interval represents the duration of three hundred seconds;
step two: first according to the formula
Obtaining a stability factor P of the automobile when the automobile runs in a first time period, wherein t, y and u are driving correction factors, y is larger than t and larger than u, and t + y + u is 5.6114; then according to the formula
Obtaining a fluctuation factor F of an automobile motor during driving of the automobile in a first time period, wherein a, s and d are motor carrying and correcting factors, p is a motor interference factor, p is larger than s and larger than a and larger than d, and a + s + d + p is 4.2881;
step three: when the stability factor P of the automobile in the first time period is larger than or equal to a preset value sigma, generating a driving fluctuation signal, otherwise, generating a driving stability signal; when the fluctuation factor F of the automobile motor in the first time period is larger than or equal to a preset value delta during the running of the automobile, generating a motor carrying abnormal signal, otherwise, generating a motor carrying normal signal; when the driving stable signal is combined with the motor carrying abnormal signal, a motor fault confirmation alarm signal is generated, when the driving fluctuation signal is combined with the motor carrying abnormal signal, a comprehensive condition maintenance record signal is generated, and when the driving stable signal is combined with the motor carrying normal signal, and when the driving fluctuation signal is combined with the motor carrying normal signal, a false alarm signal is generated;
confirming an alarm signal, a comprehensive condition maintenance record signal or a false alarm signal according to the obtained motor fault in the first time period, and transmitting the alarm signal, the comprehensive condition maintenance record signal or the false alarm signal to the data interconnection module;
the information collection module collects the time-interval running quantity information of the automobile motor in real time when the automobile runs and stores the time-interval running quantity information into an internal folder;
the data interconnection module edits a text of 'motor carrying abnormity' according to the received motor fault confirmation alarm signal in the first time period, and the text is sent to the display screen through the color mark; the data interconnection module records the total occurrence times of the comprehensive condition overhaul recording signals in a first time period according to the received comprehensive condition overhaul recording signals, and when the recorded total occurrence times of the comprehensive condition overhaul recording signals exceed a threshold range, a text of 'motor carrying fluctuation and to-be-overhauled adjustment' is edited and sent to a display screen through letter marks; and the data interconnection module edits a text of 'recording abnormality instantly and paying attention to a driving mode' according to the received false alarm signal in the first time period and sends the text to the display screen.
A vehicle motor carrying monitoring control system based on cloud computing collects the carrying environment condition information of a vehicle motor in real time when the vehicle runs and carries the monitoring and analyzing operation in real time, namely, the current difference, the noise ratio and the temperature difference corresponding to the carrying environment condition information of the vehicle motor when the vehicle runs are analyzed and compared through a data definition mark and a weighting formula to obtain a real-time depth fault monitoring signal or a carrying normal signal;
after receiving the real-time carrying normal signal, no processing is carried out; after receiving the real-time deep fault monitoring signal, calling the time interval operation quantity information of the automobile motor when the automobile runs in a first time interval after the time, and obtaining the time interval driving quantity information of the automobile when the automobile runs in a first time interval after the time, and carrying out interference elimination time interval monitoring and overlapping analysis operation on the two types of information, namely the vehicle speed variation, the damping distance and the vertical displacement corresponding to the time-interval driving amount information of the automobile when the automobile runs, the temperature level, the vibration level and the power level corresponding to the time-interval operation quantity information of the automobile motor during the running of the automobile are subjected to data definition marking, correction formula analysis, interference-free formula analysis and signal combination comparison processing to obtain a motor fault confirmation alarm signal, a comprehensive condition maintenance record signal or a false alarm signal in a first time interval;
editing a 'motor carrying abnormity' text according to the received motor fault confirmation alarm signal in the first time period, and sending the text to a display screen through a color mark; recording the total occurrence frequency of the comprehensive overhaul recording signals in a first time period according to the received comprehensive overhaul recording signals, and editing a text of 'motor carrying fluctuation and to-be-overhauled adjustment' to send the text to a display screen through letter marks when the recorded total occurrence frequency of the comprehensive overhaul recording signals exceeds a threshold range; editing a text of 'recording abnormality instantly and paying attention to a driving mode' according to the received false alarm signal in the first time period, and sending the text to a display screen;
the real-time carrying condition of the automobile motor is combined with the working environment condition, the real-time motor carrying condition is obtained through data definition marking, weighted formula analysis and comparison, the real-time motor carrying condition is associated with the time interval running condition of the automobile motor and the driving interference condition of the automobile, the time interval motor interference-removing running condition is obtained through data definition marking, correction formula analysis, interference-removing formula analysis and signal combination comparison processing, and a targeted feedback prompt measure is made according to the time interval motor interference-removing condition, namely the accuracy of an analysis process and the accuracy of an analysis result are improved according to a mode of dual interference-removing and real-time interval matching, so that the situation of false alarm caused by carrying instantaneous fluctuation or sudden instantaneous abnormality of the automobile motor is avoided.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (3)
1. A cloud computing-based automobile motor carrying monitoring control system is characterized by comprising a data acquisition module, a data analysis module, a controller, a signal processing module, an information collection module and a data interconnection module;
the data acquisition module is used for acquiring the carrying environment condition information of the automobile motor in real time when the automobile runs and transmitting the carrying environment condition information to the data analysis module;
the data analysis module carries out real-time carrying monitoring analysis operation on the automobile motor according to the carrying environment condition information of the automobile motor when the automobile runs, which is received in real time, so as to obtain a real-time deep fault monitoring signal or a carrying normal signal, and transmits the real-time deep fault monitoring signal or the carrying normal signal to the signal processing module through the controller;
the signal processing module is used for acquiring the time-interval driving quantity information of the automobile when the automobile runs in real time and storing the time-interval driving quantity information into the internal folder;
after the signal processing module receives the real-time carrying normal signal, no processing is performed; after receiving the real-time deep fault monitoring signal, the signal processing module calls the time-interval running quantity information of the automobile motor during the automobile running in the first time interval after the moment from the information collecting module, obtains the time-interval driving quantity information of the automobile during the automobile running in the first time interval after the moment from the signal processing module, performs interference elimination time-interval monitoring and overlapping analysis operation on the two types of information together to obtain a motor fault confirmation alarm signal, a comprehensive condition overhaul recording signal or an error alarm signal in the first time interval, and transmits the motor fault confirmation alarm signal, the comprehensive condition overhaul recording signal or the error alarm signal to the data interconnection module;
the information collection module is used for collecting the time-interval running quantity information of the automobile motor in real time when the automobile runs and storing the time-interval running quantity information into the internal folder;
the data interconnection module edits a text of 'motor carrying abnormity' according to the received motor fault confirmation alarm signal in the first time period, and the text is sent to a display screen through a color mark; the data interconnection module records the total occurrence times of the comprehensive condition overhaul recording signals in a first time period according to the received comprehensive condition overhaul recording signals, and when the recorded total occurrence times of the comprehensive condition overhaul recording signals exceed a threshold range, a text of 'motor carrying fluctuation and to-be-overhauled adjustment' is edited and sent to a display screen through letter marks; and the data interconnection module edits a text of 'recording abnormality instantly and paying attention to a driving mode' according to the received false alarm signal in the first time period and sends the text to the display screen.
2. The cloud-computing-based automobile motor carrying monitoring and control system according to claim 1, wherein the carrying environment condition information of the automobile motor during the running of the automobile is composed of a current difference amount, a noise ratio amount and a temperature difference ratio amount of the automobile motor during the running of the automobile; the current difference is the difference between the working current value and the rated current value, the noise ratio is the ratio of working noise decibel to environmental noise decibel, and the temperature difference ratio is the difference between the working temperature value and the rated temperature value, divided by the environmental temperature value;
the specific mode of the real-time carrying monitoring analysis operation is as follows:
firstly, acquiring carrying environment condition information of an automobile motor in real time when the automobile runs, and respectively marking current difference quantity, noise ratio quantity and temperature difference ratio quantity as Q, W and E; obtaining a real-time carrying index R of the automobile motor when the automobile runs according to a formula R-Q + W + E, wherein Q, W and E are all weight coefficients, Q is larger than E and is larger than W, and Q + W + E is 5.2182; and when the carrying index R of the automobile motor is larger than or equal to the preset value R or smaller than the preset value R during real-time automobile running, respectively generating a depth fault monitoring signal or a carrying normal signal.
3. The cloud-computing-based vehicle motor traffic monitoring and control system according to claim 1, wherein the time-interval operation quantity information of the vehicle motor during the driving of the vehicle is composed of a temperature step, a vibration step and a power step of the vehicle motor during the driving of the vehicle; the temperature level is the ratio of the average value of the working temperature to the variation of the working temperature, the vibration level is the ratio of the average value of the vibration frequency to the variation of the rotation speed, and the power level is the product of the variation of the working voltage and the variation of the working power; the time-interval driving amount information of the automobile during the running of the automobile consists of the speed variation, the damping distance and the vertical displacement of the automobile during the running of the automobile; the damping distance is the total movement distance data of all the dampers, and the vertical displacement is the total displacement data of ascending or descending in the vertical direction;
the specific steps of the interference-free period monitoring fold-in analysis operation are as follows:
the method comprises the following steps: acquiring time-interval driving quantity information of an automobile when the automobile runs in a first time interval, and respectively calibrating the speed variation, the damping distance and the vertical displacement as T, Y and U, and acquiring time-interval running quantity information of an automobile motor when the automobile runs in the first time interval, and respectively calibrating a temperature level, a vibration level and a power level as A, S and D, wherein the first time interval represents the duration of three hundred seconds;
step two: first according to the formula
Obtaining a stability factor P of the automobile when the automobile runs in a first time period, wherein t, y and u are driving correction factors, y is larger than t and larger than u, and t + y + u is 5.6114; then according to the formula
Obtaining a fluctuation factor F of an automobile motor during driving of the automobile in a first time period, wherein a, s and d are motor carrying and correcting factors, p is a motor interference factor, p is larger than s and larger than a and larger than d, and a + s + d + p is 4.2881;
step three: when the stability factor P of the automobile in the first time period is larger than or equal to a preset value sigma, generating a driving fluctuation signal, otherwise, generating a driving stability signal; when the fluctuation factor F of the automobile motor in the first time period is larger than or equal to a preset value delta during the running of the automobile, generating a motor carrying abnormal signal, otherwise, generating a motor carrying normal signal; when the driving stable signal is combined with the motor carrying abnormal signal, a motor fault confirmation alarm signal is generated, when the driving fluctuation signal is combined with the motor carrying abnormal signal, a comprehensive condition maintenance record signal is generated, when the driving stable signal is combined with the motor carrying normal signal, and when the driving fluctuation signal is combined with the motor carrying normal signal, a false alarm signal is generated.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114061651A (en) * | 2021-09-28 | 2022-02-18 | 南京交通职业技术学院 | Automobile operation information monitoring method and system based on automatic driving |
| CN115214494A (en) * | 2022-07-14 | 2022-10-21 | 安徽一维新能源技术有限公司 | High-precision chassis control system supporting ros system |
| CN117236352A (en) * | 2023-09-08 | 2023-12-15 | 安徽沐达科技有限公司 | RFID sensor for vibration monitoring |
-
2020
- 2020-03-20 CN CN202010202194.9A patent/CN111267620A/en not_active Withdrawn
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114061651A (en) * | 2021-09-28 | 2022-02-18 | 南京交通职业技术学院 | Automobile operation information monitoring method and system based on automatic driving |
| CN114061651B (en) * | 2021-09-28 | 2024-05-24 | 南京交通职业技术学院 | Automatic driving-based automobile operation information monitoring method and system |
| CN115214494A (en) * | 2022-07-14 | 2022-10-21 | 安徽一维新能源技术有限公司 | High-precision chassis control system supporting ros system |
| CN117236352A (en) * | 2023-09-08 | 2023-12-15 | 安徽沐达科技有限公司 | RFID sensor for vibration monitoring |
| CN117236352B (en) * | 2023-09-08 | 2024-05-03 | 安徽沐达科技有限公司 | RFID sensor for vibration monitoring |
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