CN111846095A - Fault detection device, electric power-assisted vehicle and fault detection method - Google Patents

Fault detection device, electric power-assisted vehicle and fault detection method Download PDF

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Publication number
CN111846095A
CN111846095A CN201910400032.3A CN201910400032A CN111846095A CN 111846095 A CN111846095 A CN 111846095A CN 201910400032 A CN201910400032 A CN 201910400032A CN 111846095 A CN111846095 A CN 111846095A
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fault
state data
data
fault detection
operation state
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CN201910400032.3A
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CN111846095B (en
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张祥
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Hangzhou Qingqi Science and Technology Co Ltd
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Beijing Didi Infinity Technology and Development Co Ltd
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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B62LAND VEHICLES FOR TRAVELLING OTHERWISE THAN ON RAILS
    • B62MRIDER PROPULSION OF WHEELED VEHICLES OR SLEDGES; POWERED PROPULSION OF SLEDGES OR SINGLE-TRACK CYCLES; TRANSMISSIONS SPECIALLY ADAPTED FOR SUCH VEHICLES
    • B62M6/00Rider propulsion of wheeled vehicles with additional source of power, e.g. combustion engine or electric motor
    • B62M6/40Rider propelled cycles with auxiliary electric motor
    • B62M6/45Control or actuating devices therefor
    • B62M6/50Control or actuating devices therefor characterised by detectors or sensors, or arrangement thereof
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION 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
    • B60L3/00Electric devices on electrically-propelled vehicles for safety purposes; Monitoring operating variables, e.g. speed, deceleration or energy consumption
    • B60L3/12Recording operating variables ; Monitoring of operating variables
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T90/00Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02T90/10Technologies relating to charging of electric vehicles
    • Y02T90/16Information or communication technologies improving the operation of electric vehicles

Abstract

The application provides a fault detection equipment, electric power assisted vehicle and fault detection method, wherein, fault detection equipment includes: the device comprises an information acquisition component, a communication component and a control component; the information acquisition component automatically reports the acquired running state data of the fault detection equipment, including fault data, to the communication component; the communication component sends the received operation state data to the control component; the control component classifies the operation state data, and respectively determines fault evaluation information corresponding to each type of operation state data according to each operation state data in each type of operation state data; determining fault evaluation information of the fault detection equipment according to the fault evaluation information corresponding to each type of running state data; and reporting the fault evaluation information corresponding to each type of running state data and the fault evaluation information of the fault detection equipment to a server through a communication component. The method and the device can automatically determine the fault evaluation information and report the fault evaluation information to the server, and are favorable for timely troubleshooting by maintenance personnel.

Description

Fault detection device, electric power-assisted vehicle and fault detection method
Technical Field
The application relates to the technical field of data processing, in particular to fault detection equipment, an electric power assisted vehicle and a fault detection method.
Background
At present, the shared electric power-assisted vehicle is widely applied by users due to the advantages of time saving, labor saving and wide traveling range. The user also needs to scan the two-dimensional code on the electric power-assisted vehicle for unlocking, and then uses the electric power-assisted vehicle.
Because the electric power assisted vehicle rate of utilization is high, consequently can inevitably break down, can't in time discover among the prior art and maintain the electric power assisted vehicle that breaks down, lead to the user to scan the electric power assisted vehicle that breaks down very easily and unblank, at this moment, the user need scan other electric power assisted vehicles again and unblank, just can use the electric power assisted vehicle, and this has just seriously reduced the efficiency that the user used the electric power assisted vehicle.
Disclosure of Invention
In view of this, an object of the present application is to provide a fault detection device, an electric power assisted vehicle, and a fault detection method, which can automatically determine fault evaluation information and report the fault evaluation information to a server, so that maintenance personnel can timely perform fault removal, thereby facilitating improvement of efficiency of using the electric power assisted vehicle by a user.
In a first aspect, an embodiment of the present application provides a fault detection device, including: the device comprises an information acquisition component, a communication component and a control component; the information acquisition component is connected with the communication component, and the communication component is connected with the control component;
The information acquisition component is used for acquiring the running state data of the fault detection equipment and sending the acquired running state data to the communication component;
the communication component is used for sending the received operation state data to the control component;
the control component is used for classifying the received running state data and respectively determining fault evaluation information corresponding to each type of running state data according to each running state data in each type of running state data; determining fault evaluation information of the fault detection equipment according to the fault evaluation information corresponding to each type of running state data; sending fault evaluation information corresponding to each type of running state data and fault evaluation information of the fault detection equipment to the communication component;
and the communication component is also used for reporting the fault evaluation information corresponding to each type of received running state data and the fault evaluation information of the fault detection equipment to a server.
With reference to the first aspect, an embodiment of the present application provides a first possible implementation manner of the first aspect, where when classifying the received operation state data, the control component is specifically configured to classify the received operation state data according to a functional component to which the motion state data belongs.
With reference to the first aspect, an embodiment of the present application provides a second possible implementation manner of the first aspect, where the control component is specifically configured to classify the received operation state data according to data attributes when classifying the operation state data; the classified operation state data comprises voltage operation state data, current operation state data, temperature operation state data and short circuit operation state data.
With reference to the first aspect, an embodiment of the present application provides a third possible implementation manner of the first aspect, where the information acquisition component includes multiple functional components of the fault detection device.
With reference to the third possible implementation manner of the first aspect, this application example provides a fourth possible implementation manner of the first aspect, where the plurality of functional components include at least one of:
the power supply of the fault detection equipment, the motor of the fault detection equipment, the driver of the fault detection equipment and the torque sensor of the fault detection equipment.
With reference to the fourth possible implementation manner of the first aspect, an embodiment of the present application provides a fifth possible implementation manner of the first aspect, where the operation status data includes operation data of each functional unit and fault data of each functional unit.
With reference to the fifth possible implementation manner of the first aspect, an embodiment of the present application provides a sixth possible implementation manner of the first aspect, wherein the operation data includes at least one of:
the voltage of the power supply, the temperature of the power supply, the electric quantity of the power supply, the output voltage of the torque sensor, the communication function state of the driver and the temperature of the motor.
With reference to the fifth possible implementation manner of the first aspect, an embodiment of the present application provides a seventh possible implementation manner of the first aspect, where the fault data includes at least one of:
the fault data comprise fault data output by power supply overvoltage, fault data of power supply short circuit, fault data of power supply temperature exceeding a first high temperature threshold, fault data of power supply temperature lower than a low temperature threshold, fault data of torque sensor short circuit, fault data of torque sensor output voltage exceeding a preset voltage range, fault data of driver overcurrent output, fault data of driver short circuit, fault data of driver temperature exceeding a second high temperature threshold, fault data of driver driving speed exceeding a preset vehicle speed range, and fault data of motor temperature exceeding a third high temperature threshold.
With reference to the first aspect, an embodiment of the present application provides an eighth possible implementation manner of the first aspect, where the control component is further configured to determine, based on each operating state data in each type of operating state data, a failed functional component and a failure type of the failure detection device, and determine a maintenance policy according to the determined failed functional component and the determined failure type.
With reference to the eighth possible implementation manner of the first aspect, this application example provides a ninth possible implementation manner of the first aspect, where the system further includes a display component connected to the control component, and the display component is configured to receive and display the failed functional component, the failure type, and the maintenance strategy received from the control component.
With reference to the first aspect, this application provides a tenth possible implementation manner of the first aspect, where the apparatus further includes a memory connected to the control unit; the memory is used for storing the running state data, the fault evaluation information corresponding to each type of running state data and the fault evaluation information of the fault detection equipment.
In a second aspect, an embodiment of the present application provides an electric power assisted vehicle, which includes the fault detection apparatus described in any one of the first aspect, the first possible implementation manner of the first aspect, and the tenth possible implementation manner of the first aspect.
In a third aspect, an embodiment of the present application provides a fault detection method, including:
collecting operating state data of a plurality of functional components;
classifying the received operation state data;
respectively determining fault evaluation information corresponding to each type of operation state data according to each operation state data in each type of operation state data, and determining target fault evaluation information according to the fault evaluation information corresponding to each type of operation state data;
and reporting the fault evaluation information and the target fault evaluation information corresponding to each type of running state data to a server.
With reference to the third aspect, an embodiment of the present application provides a first possible implementation manner of the third aspect, where the classifying the received operation state data includes:
and classifying the received operation state data according to the functional component to which the motion state data belongs.
With reference to the third aspect, an embodiment of the present application provides a second possible implementation manner of the third aspect, where the classifying the received operation state data includes:
classifying the operating state data according to data attributes; the classified operation state data comprises voltage operation state data, current operation state data, temperature operation state data and short circuit operation state data.
With reference to the third aspect, the present application provides a third possible implementation manner of the third aspect, where the plurality of functional components include at least one of:
power, motor, driver, moment sensor.
With reference to the third possible implementation manner of the third aspect, the present application provides a fourth possible implementation manner of the third aspect, where the operation status data includes operation data of each functional unit and fault data of each functional unit.
With reference to the fourth possible implementation manner of the third aspect, in an embodiment of the present application, there is provided a fifth possible implementation manner of the third aspect, where the operation data includes at least one of:
the voltage of the power supply, the temperature of the power supply, the electric quantity of the power supply, the output voltage of the torque sensor, the communication function state of the driver and the temperature of the motor.
With reference to the fourth possible implementation manner of the third aspect, in this application, an embodiment provides a sixth possible implementation manner of the third aspect, where the fault data includes at least one of:
the fault data comprise fault data output by power supply overvoltage, fault data of power supply short circuit, fault data of power supply temperature exceeding a first high temperature threshold, fault data of power supply temperature lower than a low temperature threshold, fault data of torque sensor short circuit, fault data of torque sensor output voltage exceeding a preset voltage range, fault data of driver overcurrent output, fault data of driver short circuit, fault data of driver temperature exceeding a second high temperature threshold, fault data of driver driving speed exceeding a preset vehicle speed range, and fault data of motor temperature exceeding a third high temperature threshold.
With reference to the third aspect, an embodiment of the present application provides a seventh possible implementation manner of the third aspect, where the method further includes:
and determining the functional component with the fault and the fault type based on each operating state data in each type of operating state data, and determining a maintenance strategy according to the determined functional component with the fault and the fault type.
With reference to the seventh possible implementation manner of the third aspect, an embodiment of the present application provides an eighth possible implementation manner of the third aspect, where the method further includes:
and displaying the functional component with the fault, the fault type and the maintenance strategy.
With reference to the third aspect, an embodiment of the present application provides a ninth possible implementation manner of the third aspect, where the method further includes:
and storing the running state data, the fault evaluation information corresponding to each type of running state data and the target fault evaluation information.
The application provides a fault detection device, an electric power assisted vehicle and a fault detection method, wherein an information acquisition component automatically reports acquired running state data of the fault detection device to a communication component; the communication component sends the received operation state data to the control component; the control component classifies the operation state data, and respectively determines fault evaluation information corresponding to each type of operation state data according to each operation state data in each type of operation state data; determining fault evaluation information of the fault detection equipment according to the fault evaluation information corresponding to each type of running state data; and reporting the fault evaluation information corresponding to each type of running state data and the fault evaluation information of the fault detection equipment to a server through a communication component. By adopting the fault detection equipment, the fault evaluation information can be automatically determined and reported to the server, and the fault detection equipment is favorable for timely troubleshooting by maintenance personnel.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained from the drawings without inventive effort.
Fig. 1 shows a schematic structural diagram of a fault detection device provided in an embodiment of the present application;
fig. 2 shows a schematic structural diagram of an electric power assisted vehicle provided in the second embodiment of the present application;
fig. 3 shows a flowchart of a fault detection method provided in the third embodiment of the present application.
Detailed Description
In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it should be understood that the drawings in the present application are for illustrative and descriptive purposes only and are not used to limit the scope of protection of the present application. Additionally, it should be understood that the schematic drawings are not necessarily drawn to scale. The flowcharts used in this application illustrate operations implemented according to some embodiments of the present application. It should be understood that the operations of the flow diagrams may be performed out of order, and steps without logical context may be performed in reverse order or simultaneously. One skilled in the art, under the guidance of this application, may add one or more other operations to, or remove one or more operations from, the flowchart.
In addition, the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present application without making any creative effort, shall fall within the protection scope of the present application.
In order to enable a person skilled in the art to use the present disclosure, the following embodiments are given in connection with a specific application scenario "electric power assisted vehicle". It will be apparent to those skilled in the art that the general principles defined herein may be applied to other embodiments and applications without departing from the spirit and scope of the application. Although the present application is described primarily in the context of fault detection by itself by a fault detection device, it should be understood that this is merely one exemplary embodiment.
It should be noted that in the embodiments of the present application, the term "comprising" is used to indicate the presence of the features stated hereinafter, but does not exclude the addition of further features.
It should be noted that, before the application is filed, the fault detection efficiency is low in the manner of the fault repair in the related art fed back by the user. In order to solve the problems, the application provides the fault detection equipment, the electric power assisted vehicle and the fault detection method, a user does not need to feed back, fault evaluation information can be automatically determined, maintenance personnel can conveniently and timely perform fault removal, and the fault detection efficiency is improved.
The following describes a pair of failure detection devices in detail by way of example.
Example one
As shown in fig. 1, a fault detection device provided in the first embodiment of the present application includes: an information acquisition part 11, a communication part 12, and a control part 13; the information acquisition part 11 is connected to the communication part 12, and the communication part 12 is connected to the control part 13.
In a specific implementation, the information collecting component 11 may collect the operation state data of the fault detection device in real time, or may collect the operation state data periodically, for example, it may be set to collect the operation state data once at twelve o 'clock in the middle of the night every day, and collect the operation state data once at twelve o' clock in the middle of the noon every day.
The operation state data of the failure detection apparatus acquired by the information acquisition section 11 includes operation data of each functional section of the failure detection apparatus. Wherein the functional components of the fault detection device comprise at least one of a power supply of the fault detection device, a motor of the fault detection device, a driver of the fault detection device, a torque sensor of the fault detection device. It should be noted that the information collection component may be a functional component itself, that is, the functional component reports its own operation state data to the communication component.
The information collection part 11 may collect its own status data. For example, for a power supply of the fault detection device, the power supply may collect its own voltage, temperature, electric quantity, etc.; for a motor of the fault detection equipment, the motor can acquire the temperature, the rotating speed and the like of the motor; for the driver of the failure detection device, the driver may collect its own communication function state, temperature, and the like.
In addition, the information acquisition part 11 may further include a torque sensor for acquiring a stepping torque of the fault detection device and transmitting the stepping torque to the control part in a voltage manner.
The operation state data of the fault detection apparatus collected by the information collection part 11 also includes fault data of each functional part of the fault detection apparatus. In a specific implementation, the information collecting part 11 may also determine the fault data of each functional unit according to the status data of each functional unit while collecting the status data of each functional unit. For example, if the power supply of the fault detection device fails due to an excessive temperature caused by poor quality, the power supply may determine that the fault data of the power supply is the fault data of the power supply with the temperature exceeding the first high temperature threshold.
The information collecting part 11 may determine different fault data for different faulty components. For a power supply of the fault detection equipment, fault data of overvoltage output, fault data of power supply short circuit, fault data of power supply temperature exceeding a first high-temperature threshold value and fault data of power supply temperature lower than a low-temperature threshold value can be determined according to collected running state data corresponding to the power supply; for a torque sensor of the fault detection equipment, fault data of short circuit of the torque sensor and fault data of output voltage of the torque sensor exceeding a preset voltage range can be determined according to running state data acquired by the torque sensor; for a driver of the fault detection equipment, fault data output by over-current of the driver, fault data of short circuit of the driver, fault data of temperature of the driver exceeding a second high-temperature threshold value and fault data of driving speed of the driver exceeding a preset vehicle speed range can be determined according to collected running state data corresponding to the driver; for the motor of the fault detection device, fault data that the temperature of the motor exceeds a third high-temperature threshold value can be determined according to the collected running state data corresponding to the motor.
The information collection part 11 transmits the collected above-described operation state data to the communication part 12, and the communication part 12 transmits the received operation state data to the control part 13.
The communication component 12 may be a wired communication component, that is, the information acquisition component 11 and the control component 13 are electrically connected to the wired communication component; wireless communication parts, namely the information acquisition part 11 and the control part 13, can be in communication connection with the wired communication part. In the implementation, the setting can be performed according to different requirements, and this is not specifically limited in the embodiments of the present application.
In a specific implementation, after the control part 13 receives the operation state data sent by the communication part 12, the control part 13 may classify the operation state data according to a preset classification rule. The control unit 13 may be an integrated circuit chip, a central processing unit with data processing capability.
Here, the classification rule may be to classify the operation state data according to the functional component to which the operation state data belongs, or may be to classify the operation state data according to the data attribute, or may classify the operation state data according to another classification rule, which is not specifically limited in this embodiment of the present application.
Next, two ways of classifying the operation state data according to the functional component to which the motion state data belongs and classifying the operation state data according to the data attribute, and a method for the control component 13 to further determine the fault evaluation information of the fault detection device after classification according to the two classification rules are respectively explained.
The first method comprises the following steps: the operating state data are classified according to the functional component to which the operating state data belong.
Specifically, when classifying the received operation state data according to the functional component to which the motion state data belongs, the control component 13 may use the voltage of the power supply, the temperature of the power supply, the electric quantity of the power supply, the fault data of overvoltage output, the fault data of power supply short circuit, the fault data of power supply temperature exceeding a first high temperature threshold, the fault data of power supply temperature lower than a low temperature threshold, and the like as the power supply class operation state data; taking the temperature and the rotating speed of the motor, fault data of the motor with the temperature exceeding a third high-temperature threshold value and the like as motor operation state data; taking the communication function state and temperature of the driver, fault data output by overcurrent of the driver, fault data of short circuit of the driver, fault data of temperature of the driver exceeding a second high-temperature threshold, fault data of driving speed of the driver exceeding a preset speed range and the like as driver running state data; and taking the voltage and the current of the torque sensor, the fault data of the short circuit of the torque sensor, the fault data of the output voltage of the torque sensor exceeding a preset voltage range and the like as the operation state data of the torque sensor and the like.
After the control unit 13 classifies the operation state data according to the functional unit to which the motion state data belongs, each type of operation state data includes at least one operation state data. The control unit 13 may analyze each operation state data in each type of operation state data to determine fault evaluation information corresponding to each type of operation state data, and summarize and analyze the fault evaluation information corresponding to each type of operation state data to determine fault evaluation information of the fault detection device.
In a specific implementation, the operation state data corresponding to each functional component may be analyzed according to the classification rule to determine the fault evaluation information of the functional component. For example, after analyzing each operation state data in the power supply operation state data, the fault evaluation information corresponding to the power supply operation state data, that is, the fault evaluation information corresponding to the power supply, may be determined; after each piece of operation state data in the driver class operation state data is analyzed, fault evaluation information corresponding to the driver class operation state data, that is, fault evaluation information corresponding to the driver, and the like can be determined.
After determining the fault evaluation information of each functional component in the fault detection device, the fault evaluation information corresponding to each functional component may be summarized and analyzed, so as to determine the fault evaluation information of the fault detection device.
The fault evaluation information of each functional component may include a fault evaluation score corresponding to the functional component. Specifically, each operating state data corresponding to the functional component and a weight value corresponding to each operating state data are weighted to obtain a fault evaluation score of the functional component. Further, the fault evaluation scores of all the functional components are collected and analyzed, and the fault evaluation score of the fault detection equipment is determined. Specifically, the failure evaluation score of each functional component and the weight value corresponding to each functional component may be weighted to obtain the failure evaluation score of the failure detection device, and the failure evaluation score is used as the failure evaluation information corresponding to the failure detection device. Wherein the failure evaluation score is used to indicate the degree of abnormality of the corresponding functional component or the failure detection apparatus.
The failure evaluation information of each functional component may be a current state evaluation level corresponding to the functional component. Specifically, the reference evaluation score of the functional component is determined according to each operating state data corresponding to the functional component and a first preset calculation rule. And determining a current state evaluation grade corresponding to the functional component according to a mapping relation between the pre-established evaluation score and the state evaluation grade based on the reference evaluation score, wherein the state evaluation grade is used for indicating the use state of the corresponding functional component or the fault detection equipment. The state evaluation level may include to-be-repaired, normal, and excellent, and the state evaluation level may be set according to actual requirements, which is not specifically limited in the embodiments of the present application.
And the second method comprises the following steps: and classifying the running state data according to the data attributes.
When the operation state data are classified according to the data attributes, the voltage of the power supply, the voltage of the torque sensor, the fault data output by the voltage of the power supply, the fault data of the output voltage of the torque sensor exceeding a preset voltage range and the like can be used as voltage operation state data; collecting current of a torque sensor, output current of a power supply, current of a motor and the like as current type running state data; taking the temperature of a power supply, the temperature of a motor, the temperature of a driver, fault data of which the temperature of the power supply exceeds a first high-temperature threshold, fault data of which the temperature of the driver exceeds a second high-temperature threshold, fault data of which the temperature of the motor exceeds a third high-temperature threshold and the like as temperature-type running state data; the short-circuit type operating state data includes, for example, data on a power supply short circuit fault, data on a torque sensor short circuit fault, and data on a driver overcurrent output fault.
After the control section 13 classifies the operation state data according to the data attributes, each type of operation state data includes at least one operation state data. The control unit 13 may analyze each operation state data in each type of operation state data to determine fault evaluation information corresponding to each type of operation state data, and summarize and analyze the fault evaluation information corresponding to each type of operation state data to determine fault evaluation information of the fault detection device.
In a specific implementation, if the operation state data is classified according to the data attribute, the voltage state, the current state, the temperature state, and the like of the fault detection device can be analyzed respectively. For example, after each operation state data in the voltage operation state data is analyzed, the fault evaluation information corresponding to the voltage operation state data can be determined; after each piece of operation state data in the current operation state data is analyzed, fault evaluation information and the like corresponding to the current operation state data can be determined.
After determining the fault evaluation information of various types of operation state data in the fault detection device, the fault evaluation information corresponding to the voltage type operation state data, the fault evaluation information corresponding to the current type operation state data, the fault evaluation information corresponding to the temperature type operation state data, and the fault evaluation information corresponding to the short circuit type operation state data may be summarized and analyzed, so as to determine the fault evaluation information of the fault detection device.
The fault evaluation information may be fault evaluation scores respectively corresponding to the voltage, the current, the temperature and the like of the whole fault detection device. Specifically, each running state data in various running state data and a weight value corresponding to each running state data are weighted and calculated, so that a fault evaluation score is obtained. Further, the fault evaluation scores of the various types of running state data are collected and analyzed, and the fault evaluation score of the fault detection device is determined, wherein the fault evaluation score of the fault detection device can be obtained by performing weighted calculation on the fault evaluation scores of the various types of running state data and the weight value corresponding to the various types of running state data, and the fault evaluation score is fault evaluation information corresponding to the fault detection device. The failure evaluation information is used to indicate the state of each attribute in the failure detection device or the degree of abnormality of the failure detection device.
The fault evaluation information corresponding to each type of operation state data in each fault detection device may be a current state evaluation level corresponding to each type of operation state data in the fault detection device. Specifically, a reference evaluation score of each type of running state data in the fault detection device is determined according to each running state data in the running state data and a preset calculation rule, and a current state evaluation grade corresponding to the type of running state data is determined according to a mapping relation between a pre-established evaluation score and the state evaluation grade on the basis of the reference evaluation score, wherein the state evaluation grade is used for representing the state of a corresponding attribute or the working state of the fault detection device. The state evaluation level may include poor, general and good, and the state evaluation level may be set according to actual requirements, which is not specifically limited in the embodiments of the present application.
The control unit 13 can determine the fault evaluation information corresponding to each type of operation state data and the fault evaluation information of the fault detection device through the two classification manners, and send the fault evaluation information corresponding to each type of operation state data and the fault evaluation information of the fault detection device to the communication unit 12, so that the communication unit 12 reports each operation state data, the fault evaluation information corresponding to each type of operation state data and the fault evaluation information of the fault detection device to the server, so that the server can perform backup.
As shown in fig. 1, the failure detection device provided in the first embodiment of the present application further includes a memory 14 connected to the control unit 13; the memory is used for storing the operation state data, the fault evaluation information corresponding to each type of operation state data and the fault evaluation information of the fault detection equipment, and avoiding the problem that the operation state data, the fault evaluation information corresponding to each type of operation state data and the fault evaluation information of the fault detection equipment cannot be reported to the server successfully and backup fails due to the fact that the communication component 12 breaks down.
When the communication component 12 does not report the operation state data, the fault evaluation information corresponding to each type of operation state data, and the fault evaluation information of the fault detection device to the server successfully, the control component 13 may send the operation state data, the fault evaluation information corresponding to each type of operation state data, and the fault evaluation information of the fault detection device stored in the memory 14 to the communication component 12 again after a preset time period, so that the communication component 12 reports the operation state data, the fault evaluation information corresponding to each type of operation state data, and the fault evaluation information of the fault detection device to the server.
In the first embodiment of the present application, the information acquisition component 11 sends the acquired operation state data of each functional component of the fault detection device to the communication component 12; the communication section 12 transmits the received operation state data to the control section 13; the control part 13 classifies the operation state data, and respectively determines the fault evaluation information corresponding to each type of operation state data according to each operation state data in each type of operation state data; determining fault evaluation information of the fault detection equipment according to the fault evaluation information corresponding to each type of running state data; and the fault evaluation information corresponding to each type of running state data and the fault evaluation information of the fault detection device are reported to the server through the communication part 12. By adopting the fault detection equipment provided by the embodiment of the application, the fault evaluation information can be automatically determined and reported to the server, and the fault detection equipment is favorable for timely troubleshooting by maintenance personnel.
In a specific implementation, the control component 13 may further determine a failed functional component and a failure type of the failure detection device based on each operating state data of each type of operating state data, and determine a maintenance strategy according to the determined failed functional component and the failure type.
For example, the power supply operation state data includes fault data that the power supply temperature of the fault detection device is lower than a low-temperature threshold, so that it can be determined that the power supply of the fault detection device has a fault, and the fault type is that the temperature is too low; the short-circuit operation state data comprises fault data of driver short circuit, so that the driver of the fault detection equipment can be determined to be in fault, and the fault type is short circuit and the like.
The control unit 13 may search, based on the determined functional component and the determined fault type, a maintenance strategy corresponding to the functional component and the fault type that have a fault currently in advance among the maintenance strategies established for the functional components and the fault types, so that a maintenance worker can perform troubleshooting in time and efficiently.
In a specific implementation, the control unit 13 may upload the currently failed functional unit and the maintenance strategy corresponding to the failure type to the server, so as to facilitate the server to perform backup. The server can also select maintenance personnel matched with the maintenance strategy from a pre-stored maintenance personnel list according to the functional component with the current fault and the maintenance strategy corresponding to the fault type, generate a maintenance work order and send the maintenance work order to the equipment terminal corresponding to the maintenance personnel.
As shown in fig. 1, the failure detection apparatus provided in the first embodiment of the present application further includes a display unit 15 connected to the control unit 13, and the display unit 15 is configured to receive and display the failed functional unit, the failure type, and the maintenance strategy received from the control unit 13.
Before troubleshooting, the serviceman can compare the functional component, the fault type and the maintenance strategy with faults displayed in the display component 15, if the functional component, the fault type and the maintenance strategy with faults are matched, the troubleshooting is performed, and if the functional component, the fault type and the maintenance strategy are not matched, the troubleshooting is performed by searching the fault detection equipment corresponding to the maintenance work order.
Example two
As shown in fig. 2, a second embodiment of the present application further provides an electric power assisted vehicle, which includes a wheel 21, a lock 22, a positioning component 23, a fault detection device 24 provided in the second embodiment of the present application, and the like.
When the fault detection device reports the operation state data of the fault detection device 24, the fault evaluation information corresponding to each type of operation state data, the fault evaluation information of the fault detection device 24 and the maintenance strategy to the server, the electric power assisted vehicle can report the current position information of the electric power assisted vehicle to the server through the positioning component 23, so that the server can add the position information to the maintenance work order, and the maintenance personnel can quickly determine the electric power assisted vehicle to be subjected to fault removal.
EXAMPLE III
Fig. 3 shows a fault detection method corresponding to the fault detection device in the third embodiment of the present application.
Specifically, the fault detection method of the present embodiment includes the following steps:
s301, collecting operating state data of a plurality of functional components;
s302, classifying the received running state data;
s303, respectively determining fault evaluation information corresponding to each type of operation state data according to each operation state data in each type of operation state data, and determining target fault evaluation information according to the fault evaluation information corresponding to each type of operation state data;
and S304, reporting the fault evaluation information and the target fault evaluation information corresponding to each type of running state data to a server.
In a specific implementation, the classifying the received operation state data includes:
and classifying the received operation state data according to the functional component to which the motion state data belongs.
In a specific implementation, the classifying the received operation state data includes:
classifying the operating state data according to data attributes; the classified operation state data comprises voltage operation state data, current operation state data, temperature operation state data and short circuit operation state data.
In a specific implementation, the plurality of functional components includes at least one of:
power, motor, driver, moment sensor.
In a specific implementation, the operational status data includes operational data for each functional unit, and fault data for each functional unit.
In particular implementations, the operational data includes at least one of:
the voltage of the power supply, the temperature of the power supply, the electric quantity of the power supply, the output voltage of the torque sensor, the communication function state of the driver and the temperature of the motor.
In particular implementations, the fault data includes at least one of:
the fault data comprise fault data output by power supply overvoltage, fault data of power supply short circuit, fault data of power supply temperature exceeding a first high temperature threshold, fault data of power supply temperature lower than a low temperature threshold, fault data of torque sensor short circuit, fault data of torque sensor output voltage exceeding a preset voltage range, fault data of driver overcurrent output, fault data of driver short circuit, fault data of driver temperature exceeding a second high temperature threshold, fault data of driver driving speed exceeding a preset vehicle speed range, and fault data of motor temperature exceeding a third high temperature threshold.
In a specific implementation, the method further comprises the following steps:
and determining the functional component with the fault and the fault type based on each operating state data in each type of operating state data, and determining a maintenance strategy according to the determined functional component with the fault and the fault type.
In a specific implementation, the fault detection method further includes:
and displaying the functional component with the fault, the fault type and the maintenance strategy.
In a specific implementation, the fault detection method further includes:
and storing the running state data, the fault evaluation information corresponding to each type of running state data and the target fault evaluation information.
Embodiments of the present application further provide a computer-readable storage medium, on which a computer program is stored, where the computer program is executed by a processor to perform the steps of the fault detection method.
Specifically, the storage medium can be a general storage medium, such as a removable disk, a hard disk, or the like, and when a computer program on the storage medium is executed, the method for detecting the fault can be executed, so that the purpose of self-determining fault evaluation information is achieved, and a maintenance worker can conveniently perform fault removal in time.
The computer program product of the fault detection method provided in the embodiment of the present application includes a computer-readable storage medium storing a program code, where instructions included in the program code may be used to execute the method in the foregoing method embodiment, and specific implementation may refer to the method embodiment, and details are not described herein again.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the system and the apparatus described above may refer to corresponding processes in the method embodiments, and are not described in detail in this application. In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. The above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is merely a logical division, and there may be other divisions in actual implementation, and for example, a plurality of modules or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or modules through some communication interfaces, and may be in an electrical, mechanical or other form.
The modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a non-volatile computer-readable storage medium executable by a processor. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a U disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims (11)

1. A fault detection device, comprising: the device comprises an information acquisition component, a communication component and a control component; the information acquisition component is connected with the communication component, and the communication component is connected with the control component;
the information acquisition component is used for acquiring the running state data of the fault detection equipment and sending the acquired running state data to the communication component;
the communication component is used for sending the received operation state data to the control component;
the control component is used for classifying the received running state data and respectively determining fault evaluation information corresponding to each type of running state data according to each running state data in each type of running state data; determining fault evaluation information of the fault detection equipment according to the fault evaluation information corresponding to each type of running state data; sending fault evaluation information corresponding to each type of running state data and fault evaluation information of the fault detection equipment to the communication component;
and the communication component is also used for reporting the fault evaluation information corresponding to each type of received running state data and the fault evaluation information of the fault detection equipment to a server.
2. The fault detection device according to claim 1, characterized in that the control unit, when classifying the received operating state data, is specifically configured to classify the received operating state data according to the functional unit to which the operating state data belongs.
3. The fault detection device according to claim 1, characterized in that the control means, when classifying the received operational status data, are specifically configured to classify the operational status data according to data attributes; the classified operation state data comprises voltage operation state data, current operation state data, temperature operation state data and short circuit operation state data.
4. The fault detection device of claim 1, wherein the information collection component comprises a plurality of functional components of the fault detection device.
5. The fault detection device of claim 4, wherein the plurality of functional components comprise at least one of:
the power supply of the fault detection equipment, the motor of the fault detection equipment, the driver of the fault detection equipment and the torque sensor of the fault detection equipment.
6. The fault detection device of claim 5, wherein the operational status data comprises operational data for each functional component, fault data for each functional component.
7. The fault detection device of claim 6, wherein the fault data comprises at least one of:
the fault data comprise fault data output by power supply overvoltage, fault data of power supply short circuit, fault data of power supply temperature exceeding a first high temperature threshold, fault data of power supply temperature lower than a low temperature threshold, fault data of torque sensor short circuit, fault data of torque sensor output voltage exceeding a preset voltage range, fault data of driver overcurrent output, fault data of driver short circuit, fault data of driver temperature exceeding a second high temperature threshold, fault data of driver driving speed exceeding a preset vehicle speed range, and fault data of motor temperature exceeding a third high temperature threshold.
8. The fault detection device of claim 1, wherein the control component is further configured to determine a failed functional component and a fault type of the fault detection device based on each of the types of operational state data, and determine a maintenance strategy based on the determined failed functional component and the fault type.
9. The fault detection device of claim 8, further comprising a display component coupled to the control component, the display component configured to receive and display the failed functional component, the type of fault, and the maintenance strategy received from the control component.
10. An electric power assisted vehicle, characterized in that it comprises a fault detection device according to any of claims 1 to 9.
11. A method of fault detection, comprising:
collecting operating state data of a plurality of functional components;
classifying the received operation state data;
respectively determining fault evaluation information corresponding to each type of operation state data according to each operation state data in each type of operation state data, and determining target fault evaluation information according to the fault evaluation information corresponding to each type of operation state data;
and reporting the fault evaluation information and the target fault evaluation information corresponding to each type of running state data to a server.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112379208A (en) * 2020-11-30 2021-02-19 摩拜(北京)信息技术有限公司 Fault detection method of electric bicycle, electric bicycle and system

Citations (25)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2000266642A (en) * 1999-03-19 2000-09-29 Suzuki Motor Corp Vehicle diagnosis system and method therefor, vehicle diagnosing apparatus, vehicle-mounted electronic control device, and record medium
KR20010093442A (en) * 2000-03-29 2001-10-29 정광욱 Wireless Diagonastic system for car
US20040002776A1 (en) * 2000-06-09 2004-01-01 Bickford Randall L. Surveillance system and method having an operating mode partitioned fault classification model
CA2524546A1 (en) * 2004-10-26 2006-04-26 Yamaha Hatsudoki Kabushiki Kaisha System for efficient power control on a snowmobile
CN101118694A (en) * 2007-05-18 2008-02-06 李克明 Vehicle intellectualized management system
CN101486318A (en) * 2009-01-15 2009-07-22 天津市松正电动科技有限公司 Real time monitoring system and method for electric bicycle
CN102139701A (en) * 2010-02-01 2011-08-03 同济大学 Train working condition on-line monitoring method for rail transit
CN102436198A (en) * 2007-03-12 2012-05-02 三菱电机株式会社 Control sub-unit and control main unit
CN102607867A (en) * 2012-02-22 2012-07-25 北京交通大学 On-passage fault detection system based on GLRT (generalized likelihood ratio test) train suspension system and detection method of on-passage fault detection system
CN203011705U (en) * 2012-10-16 2013-06-19 湖南信德信息技术有限公司 Detection and diagnosis system of locomotive state
CN103616887A (en) * 2013-11-25 2014-03-05 北京广育德视觉技术股份有限公司 Monitoring system and terminal of light-emitting identification
CN104199438A (en) * 2014-08-19 2014-12-10 奇瑞汽车股份有限公司 Remote diagnosis method and equipment of vehicle
CN104331066A (en) * 2014-10-14 2015-02-04 苏州德鲁森自动化系统有限公司 Remote vehicle fault diagnosis method
CN205345261U (en) * 2016-01-29 2016-06-29 杭州云造科技有限公司 Intelligence electric bicycle control system based on thing networking
CN106292641A (en) * 2016-08-31 2017-01-04 南京宝旭信息技术有限公司 A kind of control method of electric motor car
CN106372735A (en) * 2016-09-06 2017-02-01 北京四方继保自动化股份有限公司 Relay protection state evaluation method
CN106383509A (en) * 2016-08-30 2017-02-08 株洲壹星科技股份有限公司 High-power locomotive fault early-warning analysis method
CN107490485A (en) * 2016-11-15 2017-12-19 宝沃汽车(中国)有限公司 Vehicle health degree detection method, device and vehicle
CN107784325A (en) * 2017-10-20 2018-03-09 河北工业大学 Spiral fault diagnosis model based on the fusion of data-driven increment
CN108303264A (en) * 2017-01-13 2018-07-20 华为技术有限公司 A kind of car fault diagnosis method based on cloud, device and its system
CN108388227A (en) * 2018-01-30 2018-08-10 杭州深渡科技有限公司 Air-conditioning remote fault diagnosis method and system
CN108860013A (en) * 2018-06-12 2018-11-23 吉利汽车研究院(宁波)有限公司 A kind of vehicle trouble prompt system
CN109101010A (en) * 2018-09-30 2018-12-28 深圳市元征科技股份有限公司 A kind of Diagnosis method of automobile faults and relevant device
US20190003929A1 (en) * 2014-12-01 2019-01-03 Uptake Technologies, Inc. Computer System and Method for Recommending an Operating Mode of an Asset
CN109560770A (en) * 2018-10-29 2019-04-02 西安交通大学 Photovoltaic system fault arc detection method based on self-adaptive kernel function and instantaneous Frequency Estimation

Patent Citations (25)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2000266642A (en) * 1999-03-19 2000-09-29 Suzuki Motor Corp Vehicle diagnosis system and method therefor, vehicle diagnosing apparatus, vehicle-mounted electronic control device, and record medium
KR20010093442A (en) * 2000-03-29 2001-10-29 정광욱 Wireless Diagonastic system for car
US20040002776A1 (en) * 2000-06-09 2004-01-01 Bickford Randall L. Surveillance system and method having an operating mode partitioned fault classification model
CA2524546A1 (en) * 2004-10-26 2006-04-26 Yamaha Hatsudoki Kabushiki Kaisha System for efficient power control on a snowmobile
CN102436198A (en) * 2007-03-12 2012-05-02 三菱电机株式会社 Control sub-unit and control main unit
CN101118694A (en) * 2007-05-18 2008-02-06 李克明 Vehicle intellectualized management system
CN101486318A (en) * 2009-01-15 2009-07-22 天津市松正电动科技有限公司 Real time monitoring system and method for electric bicycle
CN102139701A (en) * 2010-02-01 2011-08-03 同济大学 Train working condition on-line monitoring method for rail transit
CN102607867A (en) * 2012-02-22 2012-07-25 北京交通大学 On-passage fault detection system based on GLRT (generalized likelihood ratio test) train suspension system and detection method of on-passage fault detection system
CN203011705U (en) * 2012-10-16 2013-06-19 湖南信德信息技术有限公司 Detection and diagnosis system of locomotive state
CN103616887A (en) * 2013-11-25 2014-03-05 北京广育德视觉技术股份有限公司 Monitoring system and terminal of light-emitting identification
CN104199438A (en) * 2014-08-19 2014-12-10 奇瑞汽车股份有限公司 Remote diagnosis method and equipment of vehicle
CN104331066A (en) * 2014-10-14 2015-02-04 苏州德鲁森自动化系统有限公司 Remote vehicle fault diagnosis method
US20190003929A1 (en) * 2014-12-01 2019-01-03 Uptake Technologies, Inc. Computer System and Method for Recommending an Operating Mode of an Asset
CN205345261U (en) * 2016-01-29 2016-06-29 杭州云造科技有限公司 Intelligence electric bicycle control system based on thing networking
CN106383509A (en) * 2016-08-30 2017-02-08 株洲壹星科技股份有限公司 High-power locomotive fault early-warning analysis method
CN106292641A (en) * 2016-08-31 2017-01-04 南京宝旭信息技术有限公司 A kind of control method of electric motor car
CN106372735A (en) * 2016-09-06 2017-02-01 北京四方继保自动化股份有限公司 Relay protection state evaluation method
CN107490485A (en) * 2016-11-15 2017-12-19 宝沃汽车(中国)有限公司 Vehicle health degree detection method, device and vehicle
CN108303264A (en) * 2017-01-13 2018-07-20 华为技术有限公司 A kind of car fault diagnosis method based on cloud, device and its system
CN107784325A (en) * 2017-10-20 2018-03-09 河北工业大学 Spiral fault diagnosis model based on the fusion of data-driven increment
CN108388227A (en) * 2018-01-30 2018-08-10 杭州深渡科技有限公司 Air-conditioning remote fault diagnosis method and system
CN108860013A (en) * 2018-06-12 2018-11-23 吉利汽车研究院(宁波)有限公司 A kind of vehicle trouble prompt system
CN109101010A (en) * 2018-09-30 2018-12-28 深圳市元征科技股份有限公司 A kind of Diagnosis method of automobile faults and relevant device
CN109560770A (en) * 2018-10-29 2019-04-02 西安交通大学 Photovoltaic system fault arc detection method based on self-adaptive kernel function and instantaneous Frequency Estimation

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
杨小娟等: "新能源汽车可靠性大数据分析技术研究", 《公路交通科技》 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112379208A (en) * 2020-11-30 2021-02-19 摩拜(北京)信息技术有限公司 Fault detection method of electric bicycle, electric bicycle and system

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