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WO2023246185A1 - 一种评估方法、装置、电子设备和存储介质 - Google Patents

一种评估方法、装置、电子设备和存储介质 Download PDF

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Publication number
WO2023246185A1
WO2023246185A1 PCT/CN2023/081060 CN2023081060W WO2023246185A1 WO 2023246185 A1 WO2023246185 A1 WO 2023246185A1 CN 2023081060 W CN2023081060 W CN 2023081060W WO 2023246185 A1 WO2023246185 A1 WO 2023246185A1
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WO
WIPO (PCT)
Prior art keywords
fault
level
deduction
degree
value
Prior art date
Application number
PCT/CN2023/081060
Other languages
English (en)
French (fr)
Inventor
刘雄
唐磊
刘云平
张丹
张猛
周军长
黄杨森
马世俊
马军
Original Assignee
东方电气集团东方电机有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
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Application filed by 东方电气集团东方电机有限公司 filed Critical 东方电气集团东方电机有限公司
Publication of WO2023246185A1 publication Critical patent/WO2023246185A1/zh

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Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/16—Matrix or vector computation, e.g. matrix-matrix or matrix-vector multiplication, matrix factorization
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/20—Administration of product repair or maintenance
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Energy or water supply

Definitions

  • the present disclosure relates to the field of computers, and specifically to an evaluation method, device, electronic device and storage medium.
  • Generators are mechanical devices that convert other forms of energy into electric energy, and condensers It is a synchronous motor that provides or absorbs reactive power to the power system and is used to improve the power factor of the grid and maintain the voltage level of the grid.
  • components such as the rotor in such equipment may fail to function properly due to damage, affecting the normal operation of the equipment.
  • the embodiments of the present disclosure provide an evaluation method, device, electronic device, and storage medium, which can reduce the impact of component damage on the normal operation of the equipment.
  • an embodiment of the present disclosure provides an evaluation method, the method is applied to equipment, the equipment includes a component, and the method includes: in response to a failure of the component, obtaining operating parameters and faults associated with the component Prompt information; use the operating parameters to calculate a first deduction value, which represents the fault degree of the component; use the fault prompt information to calculate a second deduction value, and the second deduction value
  • the score represents the degree of failure of the component; based on the first deduction value and the second deduction value, a fault evaluation is performed on the component to obtain an evaluation result.
  • embodiments of the present disclosure also provide an evaluation device, the device is applied to equipment, the equipment includes a component, and the device includes: a response unit configured to obtain information related to the component in response to a failure of the component. Associated operating parameters and fault prompt information; the first calculation unit is used to use the operating parameters to calculate a first deduction value, and the first deduction value represents the fault degree of the component; the second calculation unit a calculation unit, configured to use the fault prompt information to calculate a second deduction value, where the second deduction value represents the fault degree of the component; an evaluation unit, configured to calculate a second deduction value based on the first deduction value and the The second deduction value is to perform a fault assessment on the component and obtain the assessment result.
  • embodiments of the present disclosure also provide a computer device, including a processor and a memory, the memory stores a plurality of instructions; the processor loads instructions from the memory to execute the instructions provided by the embodiments of the present disclosure. steps in any assessment method.
  • embodiments of the present disclosure also provide a computer-readable storage medium that stores a plurality of instructions, and the instructions are suitable for loading by the processor to execute the instructions provided by the embodiments of the present disclosure. The steps in any assessment method.
  • Embodiments of the present disclosure can obtain operating parameters and fault prompt information associated with the component in response to a component failure; use the operating parameters to calculate a first deduction value, and the first deduction value represents the fault degree of the component; use the fault prompt information to calculate The second deduction value represents the degree of failure of the component; based on the first deduction value and the second deduction value, a fault assessment is performed on the component to obtain an evaluation result.
  • the operating parameters and fault reminder information can map the fault degree of the component.
  • the fault prompt information can be the prompt information that a minor fault, a serious fault, an emergency fault, etc. occurs when the component is working in the equipment, so that the component can be faulted.
  • the operating parameters and fault prompt information associated with the component can be taken into consideration at the same time during the assessment to achieve a comprehensive assessment of the fault degree of the component, so that users can promptly replace components in the equipment based on the component's assessment results and reduce the impact of component damage on the normal operation of the equipment. Impact.
  • Figure 1a is a schematic diagram of a scenario of an evaluation method provided by an embodiment of the present disclosure
  • Figure 1b is a schematic flowchart of an evaluation method provided by an embodiment of the present disclosure
  • Figure 1c is a function image of the degradation degree function provided by an embodiment of the present disclosure.
  • Figure 1d is a function image of the membership function provided by an embodiment of the present disclosure
  • Figure 2 is a schematic structural diagram of an evaluation device provided by an embodiment of the present disclosure
  • FIG. 3 is a schematic structural diagram of an electronic device provided by an embodiment of the present disclosure.
  • Embodiments of the present disclosure provide an evaluation method, device, electronic device, and storage medium.
  • the evaluation device may be integrated into an electronic device, and the electronic device may be a terminal, a server, or other equipment.
  • the terminal can be a mobile phone, a tablet, a smart Bluetooth device, a laptop, or a personal computer (PC);
  • the server can be a single server or a server cluster composed of multiple servers.
  • the evaluation device can also be integrated in multiple electronic devices.
  • the evaluation device can be integrated in multiple servers, and the multiple servers implement the evaluation method of the present disclosure.
  • the server can also be implemented in the form of a terminal.
  • the electronic device can respond to a component failure, obtain operating parameters and fault prompt information associated with the component; use the operating parameters to calculate a first deduction value, and the first deduction value represents The degree of failure of the component; use the fault prompt information to calculate the second deduction value, which represents the degree of failure of the component; conduct a fault assessment on the component based on the first deduction value and the second deduction value, and obtain the evaluation result .
  • the operating parameters and fault prompt information associated with the component can be taken into consideration at the same time, so as to achieve a comprehensive assessment of the fault degree of the component, so that users can promptly replace the components in the equipment based on the assessment results of the component. components to reduce the impact of component damage on the normal operation of the equipment.
  • an evaluation method is provided.
  • the method is applied to equipment, and the equipment includes components, as shown in Figure 1b.
  • the specific process of the evaluation method can be as follows:
  • the operating parameters are the parameters associated with the component when the component is running in the equipment, for example, the parameters in the equipment that are affected when the component fails.
  • the operating parameters associated with the component can be the absolute value of the relative deviation of the excitation current, the maximum value of the shaft vibration frequency at the turning end, and the maximum change rate of the shaft vibration frequency at the turning end. , the maximum value of the vibration frequency of the excitation end cover, the maximum change rate of the vibration frequency of the excitation end cover, the maximum value of the magnetic flux difference percentage ⁇ , the maximum value of the cranking end bearing bush temperature, the maximum value of the excitation end bearing bush temperature, and the peak-to-peak value of the shaft voltage, etc.
  • the fault prompt information is the information that the equipment issues when the component fails, for example, the information associated with the minor fault level, serious fault level, emergency fault level and other fault levels of the component.
  • the first deduction value is the deduction value obtained through the operating parameters when evaluating the component failure, and the deduction value represents the fault degree of the component.
  • the operating parameters are used to calculate the first penalty value, including:
  • the current degree of deterioration represents the degree to which the operating parameter deviates from the normal value at the current time
  • the first deduction value is determined based on all membership degrees corresponding to each operating parameter.
  • the current degree of deterioration is the degree to which the operating parameters deviate from the normal value at the current time.
  • the degree of deviation of the operating parameter from the normal value can determine the corresponding degree of deterioration of the operating parameter.
  • the normal value is the operating parameter associated with the component when it is running normally.
  • the operating parameters associated with the component when it is run without any damage are the operating parameters associated with the component when it is run without any damage.
  • the fault level is used for the level corresponding to the component failure.
  • the fault level can include normal level, minor fault level, serious fault level, emergency fault level, etc.
  • the membership degree represents the degree to which the operating parameters belong to the fault level, and the membership degree is calculated by the current degradation degree. For example, if fault levels include normal level, minor fault level, serious fault level, and emergency fault level, then through the current deterioration degree corresponding to the operating parameters, the membership degree of the operating parameters belonging to the normal level and the level of minor fault can be obtained. The degree of membership and the level of serious failure Degrees of membership and degrees of membership belonging to the level of emergency failure, etc.
  • determining the current degree of degradation corresponding to the operating parameter includes:
  • the current deterioration degree corresponding to the operating parameters is determined.
  • the deterioration degree function is a function that calculates the deterioration degree through operating parameters.
  • the deterioration degree function associated with each operating parameter includes two parameter values a and b.
  • the deterioration degree of parameter a calculated through the deterioration degree function is 0, and the deterioration degree of parameter b calculated through the deterioration degree function is 0.
  • the degree of deterioration is 1, and the degree of deterioration corresponding to the parameters between parameter a and parameter b increases linearly, where the operating parameter can be equal to parameter a or parameter b, or other parameter values.
  • the operating parameter is the absolute value of the relative deviation of the excitation current and is equal to x1
  • the degradation degree function associated with the absolute value of the relative deviation of the excitation current is I(x1)
  • the current degree of degradation corresponding to x1 is I1.
  • the operating parameter is the maximum value of the cranking end shaft vibration frequency and is equal to x2.
  • the deterioration degree function associated with the maximum value of the turning end shaft vibration frequency is I(x2), then the current degradation degree corresponding to x2 is I2.
  • the operating parameter is the maximum value of the change rate of shaft vibration frequency at the turning end and is equal to x3.
  • the deterioration degree function associated with the maximum change rate of shaft vibration frequency at the turning end is I(x3), then the current degree of degradation corresponding to x3 is I3 .
  • the operating parameter is the maximum value of the excitation end cover vibration frequency and is equal to x4.
  • the degradation degree function associated with the maximum value of the excitation end cover vibration frequency is I(x4), then the current degradation degree corresponding to x4 is I4.
  • the operating parameter is the maximum value of the vibration frequency change rate of the excitation end cover and is equal to x5.
  • the degradation degree function associated with the maximum vibration frequency change rate of the excitation end cover is I(x5), then the current degradation degree corresponding to x5 is I5.
  • the operating parameter is the maximum value of the magnetic flux difference percentage ⁇ and is equal to x6.
  • the deterioration degree function associated with the maximum value of the magnetic flux difference percentage ⁇ is I(x6), then the current degradation degree corresponding to x6 is I6.
  • the operating parameter is the maximum value of the bearing bush temperature at the turning end and is equal to x7.
  • the deterioration degree function associated with the maximum bearing temperature at the turning end is I(x7), then the current deterioration degree corresponding to x7 is I7.
  • the operating parameter is the maximum value of the field end bearing temperature and is equal to x8.
  • the deterioration degree function associated with the maximum value of the field end bearing temperature is I(x8), then the current degradation degree corresponding to x8 is I8.
  • the operating parameter is the peak-to-peak value of the shaft voltage and is equal to x9.
  • the degradation degree function associated with the peak-to-peak value of the shaft voltage is I(x9). Then the current degradation degree corresponding to x9 is I9.
  • the membership degree of the operating parameter belonging to each fault level is determined according to the current degree of deterioration, including:
  • the membership degree of the operating parameters belonging to each fault level is determined.
  • the membership function is used to relate the operating parameters to the fault level through the degree of degradation.
  • Fault levels include normal levels, minor fault levels, severe fault levels, and emergency fault levels.
  • Figure 1d is the membership function corresponding to the above fault levels.
  • r4 ⁇ 0, I ⁇ [0,0.7], 0.5+0.5*sin[ ⁇ (I-0.85)/0.3], I ⁇ (0.7, 1] ⁇ .
  • the membership matrix W (W1; W2; W3; W4; W5; W6; W7; W8; W9) corresponding to all operating parameters has 9 rows and 4 columns.
  • the first deduction value is determined based on the target values corresponding to all operating parameters.
  • the first weight is the proportion of the preset operating parameters in component failure assessment.
  • the absolute value of the relative deviation of the excitation current, the maximum value of the cranking end shaft vibration frequency, the maximum value of the cranking end shaft vibration frequency change rate, the maximum value of the excitation end cover vibration frequency, the excitation end cover vibration frequency The weight coefficients corresponding to the maximum frequency change rate, the maximum magnetic flux difference percentage ⁇ , the maximum cranking end bearing temperature and the maximum field end bearing temperature are all 1, and the weight coefficient corresponding to the peak-to-peak value of the shaft voltage is 0.4, where, The sum of the weight coefficients corresponding to all operating parameters is 8.4. Divide the weight coefficient corresponding to each operating parameter by the sum of the weight coefficients to obtain the first weight corresponding to each operating parameter.
  • the first weight corresponding to all operating parameters can be specifically: M (1, 1, 1, 1, 1, 1, 1, 1, 1, 0.4)/8.4.
  • M (1, 1, 1, 1, 1, 1 , 1, 1, 1, 0.4) and 8.4 are divided to obtain M (5, 5, 5, 5, 5, 5, 5, 5, 2)/42.
  • the second weight is the weight associated with the fault level.
  • the corresponding weight is 100, if the fault level is minor fault, the corresponding weight is 70, if the fault level is serious fault, the corresponding weight is 30, and if the fault level is emergency fault, the corresponding weight is 30.
  • the corresponding weight is 0, which forms the second weight vector corresponding to all fault levels: Y (100, 70, 30, 0).
  • the weight corresponding to the fault level in order to assign a weight to a fault level, can be determined through a membership function corresponding to the fault level. Before the second weight corresponding to each fault level, it also includes:
  • the target deterioration degree is determined
  • the second weight corresponding to the fault level is determined.
  • the target degradation degree is the degradation degree corresponding to the membership degree equal to 1 in the membership degree function.
  • a membership degree equal to 1 corresponds to a target degradation degree of 0 in the membership function r1
  • a membership degree equal to 1 corresponds to a target degradation degree of 0.3 in the membership function r2
  • a membership degree equal to 1 corresponds to a target degradation degree of 0.3 in the membership function r3.
  • the corresponding target degradation degree in is 0.7
  • the membership degree equal to 1 in the membership function r4 corresponds to the target degradation degree 1.
  • the target degradation degree belonging to the normal fault level is 0, the target degradation degree belonging to the minor fault level is 0.3, the target degradation degree belonging to the serious fault level is 0.7, and the target degradation level belonging to the fault level is 0.7.
  • the target degradation degree of the emergency fault level is 1.
  • the percentages of 0, 0.3, 0.7 and 1 in all target degradation degrees can be calculated respectively, and the corresponding value when the target degradation degree is 0 is obtained.
  • the percentage is 0.
  • the target deterioration degree is 0.3
  • the corresponding percentage is 30.
  • the target deterioration degree is 0.7
  • the corresponding percentage is 70.
  • the target deterioration degree is 1, the corresponding percentage is 100.
  • weight vector Y(100, 70, 30, 0).
  • the second deduction value is the deduction value obtained through the fault prompt information when evaluating the component failure, and the deduction value represents the fault degree of the component.
  • the prompt information issued by the equipment for the component failure is taken into account in the fault assessment.
  • the fault prompt information includes multiple failure levels and faults. The number of faults corresponding to the level. Multiple fault levels include the first level and the second level. The second level is lower than the first level.
  • the fault prompt information is used to calculate the second deduction value, including:
  • the method for determining the second deduction value based on the intermediate values corresponding to all fault levels is:
  • the preset deduction value will be used as the second deduction value.
  • the number of faults is the corresponding number of components when the same fault occurs.
  • the device issues a minor fault prompt, and the device counts the minor fault prompts, so that the number of minor faults in the component can be obtained.
  • the first level is higher than the second level.
  • the first level can be a normal level, a minor fault level, a serious fault level, or an emergency fault level.
  • the second level is the normal level and the level of minor faults.
  • the normal level has no corresponding number of faults, and the number of faults corresponding to the minor fault is a.
  • the second level is a normal level, a minor fault level, and a serious fault level.
  • the normal level has no corresponding fault number
  • the minor fault number is a
  • the number of minor faults is b.
  • the preset deduction function is used to calculate the deduction value obtained by calculating the component failure information sent by the device through the intermediate value.
  • the preset intermediate value is a preset intermediate value associated with the preset deduction function.
  • mapping relationship between the preset intermediate value and the preset deduction function is used to combine the preset intermediate value and the preset deduction function. Let the deduction function be associated.
  • the target penalty function is a preset penalty function mapped to the intermediate value corresponding to the highest-level fault level.
  • the method for determining the second penalty value is:
  • the target deduction function 2 points are deducted for a minor fault and 4 points are deducted for a serious fault.
  • the deduction points corresponding to component failures in the above target deduction function can be determined according to the actual situation.
  • the method of using the preset penalty value as the second penalty value can be: when c′ ⁇ 2, then the second penalty value F is equal to the preset Deduction value, the default deduction value can be 100, or can be set according to the actual situation.
  • the assessment result is the corresponding fault level of the component after fault assessment.
  • the evaluation result can be normal, minor fault, serious fault, emergency fault, etc.
  • the score interval corresponding to the component’s fault level is:
  • the normal component level is [85, 100]
  • the component minor failure level is [50, 85)
  • the component serious failure level is [15, 50]
  • the component emergency failure level is [0, 15).
  • the score S obtained by subtracting the sum of deduction points (the first deduction value and the second deduction value) from the preset score (full score 100) is compared with the interval where S is located.
  • S is in [85, 100] In the interval of , the component is at a normal level; when S is in the interval of [50, 85), the component is at a minor fault level; when S is in [15, In the interval of 50), the component is at the level of serious failure; when S is in the interval of [0, 15), the component is at the level of serious failure.
  • the above-mentioned evaluation method can be loaded on a computer that controls the device, or can also be loaded on an independent device that can evaluate the device, and so on.
  • the embodiment of the present disclosure can obtain the operating parameters and fault prompt information associated with the component; use the operating parameters to calculate the first deduction value, and the first deduction value represents the degree of failure of the component; use the fault prompt information, calculate the second deduction value, which represents the degree of failure of the component; conduct a fault assessment on the component based on the first deduction value and the second deduction value, and obtain the evaluation result.
  • this solution can pass the first deduction value and the second deduction value, in which the operating parameters and fault reminder information can map the fault degree of the component.
  • the fault prompt information can be a minor fault or a serious fault when the component is working in the equipment. Prompt information of faults, emergency faults, etc., allows the operating parameters and fault prompt information associated with the component to be taken into consideration at the same time when performing fault assessment on the component, achieving a comprehensive assessment of the fault degree of the component, so that users can evaluate the component based on As a result, components in the equipment are replaced in a timely manner to reduce the impact of component damage on the normal operation of the equipment.
  • the evaluation device can be integrated in an electronic device.
  • the electronic device can be a terminal, a server, or other equipment.
  • the terminal can be a mobile phone, tablet computer, smart Bluetooth device, laptop, personal computer and other devices;
  • the server can be a single server or a server cluster composed of multiple servers.
  • the evaluation device may include a response unit 210, a first calculation unit 220, a second calculation unit 230 and an evaluation unit 240, as follows:
  • the response unit 210 is configured to obtain operating parameters and fault prompt information associated with the component in response to a component failure.
  • the first calculation unit 220 is used to calculate a first deduction value using operating parameters, and the first deduction value represents the degree of failure of the component.
  • operating parameters are used to calculate the first deduction value, including:
  • the current degree of deterioration represents the degree to which the operating parameter deviates from the normal value at the current time
  • the first deduction value is determined based on all membership degrees corresponding to each operating parameter.
  • determining the current degree of degradation corresponding to the operating parameter includes:
  • the current deterioration degree corresponding to the operating parameters is determined.
  • the membership degree of the operating parameter belonging to each fault level is determined, including:
  • the membership degree of the operating parameters belonging to each fault level is determined.
  • the first deduction value is determined based on all membership degrees corresponding to each operating parameter, including:
  • the first deduction value is determined based on the target values corresponding to all operating parameters.
  • the second weight corresponding to each fault level before the second weight corresponding to each fault level, it also includes:
  • the target deterioration degree is determined
  • the second weight corresponding to the fault level is determined.
  • Second calculation unit 230 Second calculation unit 230.
  • the second calculation unit 230 is configured to use the fault prompt information to calculate a second deduction value, where the second deduction value represents the fault degree of the component.
  • the fault prompt information includes multiple fault levels and the number of faults corresponding to the fault levels.
  • the multiple fault levels include a first level and a second level.
  • the second level is lower than the first level.
  • the second deduction value is determined based on the intermediate values corresponding to all fault levels
  • the preset deduction value will be used as the second deduction value.
  • the second deduction value is determined based on the intermediate values corresponding to all fault levels, including:
  • the second penalty value is determined based on the target penalty function and the intermediate value corresponding to the fault level except the highest level fault level.
  • the evaluation unit is used to conduct fault evaluation on the component based on the first deduction value and the second deduction value, and obtain the evaluation result.
  • each of the above units can be implemented as an independent entity, or can be combined in any way to be implemented as the same or several entities.
  • each of the above units please refer to the previous method embodiments, and will not be described again here.
  • the response unit responds to the component failure to obtain the operating parameters and fault prompt information associated with the component;
  • the first calculation unit uses the operating parameters to calculate the first deduction value, the first deduction value The value represents the degree of failure of the component;
  • the second calculation unit uses the fault prompt information to calculate the second deduction value, which represents the degree of failure of the component;
  • the evaluation unit uses the first deduction value and the second deduction value , perform fault assessment on the components and obtain the assessment results. Therefore, the embodiments of the present disclosure can achieve a comprehensive assessment of the degree of component failure, so that users can promptly replace components in the equipment based on the assessment results of the components, and reduce the impact of component damage on the normal operation of the equipment.
  • inventions of the present disclosure also provide an electronic device.
  • the electronic device may be a terminal or a server.
  • the terminal may be a smartphone, a tablet computer, a notebook computer, a touch screen, a game console, Personal computers, personal digital assistants (Personal Digital Assistant, PDA) and other terminal devices.
  • PDA Personal Digital Assistant
  • FIG. 3 is a schematic structural diagram of an electronic device provided by an embodiment of the present disclosure.
  • the electronic device 300 includes a processor 310 with one or more processing cores, and a memory with one or more computer-readable storage media. 320 and a computer program stored on memory 320 and executable on the processor. Among them, the processor 310 is electrically connected to the memory 320.
  • the structure of the electronic device shown in the figures does not constitute a limitation of the electronic device, and may include more or fewer components than shown in the figures, or combine certain components, or arrange different components.
  • the processor 310 is the control center of the electronic device 300, using various interfaces and lines to connect various parts of the entire electronic device 300, by running or loading software programs and/or modules stored in the memory 320, and calling the software programs and/or modules stored in the memory 320. data, perform various functions of the electronic device 300 and process the data, thereby overall monitoring the electronic device 300 .
  • the processor 310 in the electronic device 300 will follow the following steps to load instructions corresponding to the processes of one or more application programs into the memory 320, and the processor 310 will run the instructions stored in the memory.
  • 320 applications to achieve various functions:
  • the processor 410 in the computer device 400 will follow the following steps to load instructions corresponding to the processes of one or more application programs into the memory 420, and the processor 410 will run the instructions stored in the memory. 420 to implement the methods of each of the aforementioned method embodiments:
  • the operating parameters and fault prompt information associated with the component In response to a component failure, obtain the operating parameters and fault prompt information associated with the component; use the operating parameters to calculate the first deduction value, which represents the degree of failure of the component; use the fault prompt information to calculate the second deduction value , the second deduction value represents the degree of failure of the component; based on the first deduction value and the second deduction value, the component is evaluated for failure and the evaluation result is obtained.
  • the operating parameters and fault reminder information can map the fault degree of the component.
  • the fault prompt information can be the prompt information that a minor fault, a serious fault, an emergency fault, etc. occurs when the component is working in the equipment, so that When performing fault assessment on a component, the operating parameters and fault prompt information associated with the component can be taken into consideration at the same time to achieve a comprehensive assessment of the fault degree of the component, so that users can promptly replace components in the equipment based on the component evaluation results and reduce component damage. Opposite setting impact on the normal operation of the equipment.
  • the electronic device 300 also includes: a touch display screen 330 , a radio frequency circuit 340 , an audio circuit 350 , an input unit 360 and a power supply 370 .
  • the processor 310 is electrically connected to the touch display screen 330, the radio frequency circuit 340, the audio circuit 350, the input unit 360 and the power supply 370 respectively.
  • the structure of the electronic device shown in FIG. 3 does not constitute a limitation on the electronic device, and may include more or fewer components than shown in the figure, or combine certain components, or arrange different components.
  • the touch display screen 330 can be used to display a graphical user interface and receive operation instructions generated by the user acting on the graphical user interface.
  • the touch display screen 330 may include a display panel and a touch panel.
  • the display panel can be used to display information input by the user or information provided to the user as well as various graphical user interfaces of the electronic device. These graphical user interfaces can be composed of graphics, text, icons, videos, and any combination thereof.
  • the display panel can be configured in the form of liquid crystal display (LCD, Liquid Crystal Display), organic light-emitting diode (OLED, Organic Light-Emitting Diode), etc.
  • the touch panel can be used to collect the user's touch operations on or near it (such as the user's operations on or near the touch panel using a finger, stylus, or any suitable object or accessory), and generate corresponding operations instruction, and the operation instruction executes the corresponding program.
  • the touch panel may include two parts: a touch detection device and a touch controller. Among them, the touch detection device detects the user's touch orientation, detects the signal brought by the touch operation, and transmits the signal to the touch controller; the touch controller receives the touch information from the touch detection device, converts it into contact point coordinates, and then sends it to the touch controller. to the processor 310, and can receive commands sent by the processor 310 and execute them.
  • the touch panel can cover the display panel.
  • the touch panel When the touch panel detects a touch operation on or near the touch panel, it is sent to the processor 310 to determine the type of the touch event. Then the processor 310 provides information on the display panel according to the type of the touch event. Corresponding visual output.
  • the touch panel and the display panel can be integrated into the touch display 330 to implement input and output functions.
  • the touch panel and the touch panel can be used as two independent components to implement input and output functions. That is, the touch display screen 330 can also be used as a part of the input unit 360 to implement the input function.
  • the radio frequency circuit 340 can be used to send and receive radio frequency signals to establish wireless communication with network equipment or other electronic equipment through wireless communication, and to send and receive signals with the network equipment or other electronic equipment.
  • the audio circuit 350 can be used to provide audio between the user and the electronic device through speakers and microphones. frequency interface.
  • the audio circuit 350 can transmit the electrical signal converted from the received audio data to the speaker, which converts it into a sound signal and outputs it; on the other hand, the microphone converts the collected sound signal into an electrical signal, which is received and converted by the audio circuit 350
  • the audio data is processed by the audio data output processor 310 and then sent to, for example, another electronic device via the radio frequency circuit 340, or the audio data is output to the memory 320 for further processing.
  • Audio circuitry 350 may also include an earphone jack to provide communication between peripheral earphones and electronic devices.
  • the input unit 360 can be used to receive input numbers, character information or user characteristic information (such as fingerprints, iris, facial information, etc.), and to generate keyboard, mouse, joystick, optical or trackball signal input related to user settings and function control. .
  • the power supply 370 is used to power various components of the electronic device 300 .
  • the power supply 370 can be logically connected to the processor 310 through a power management system, so that functions such as charging, discharging, and power consumption management can be implemented through the power management system.
  • Power supply 370 may also include one or more DC or AC power supplies, recharging systems, power failure detection circuits, power converters or inverters, power status indicators, and other arbitrary components.
  • the electronic device 300 may also include a camera, a sensor, a wireless fidelity module, a Bluetooth module, etc., which will not be described again here.
  • the electronic device provided in this embodiment can pass the first deduction value and the second deduction value, wherein the operating parameters and the fault reminder information can map the fault degree of the component, and the fault prompt information can be the component in the device.
  • Prompt information of minor faults, serious faults, emergency faults, etc. generated during operation allows the operating parameters and fault prompt information associated with the component to be taken into consideration at the same time when performing fault assessment on the component, thereby achieving a comprehensive assessment of the fault degree of the component. This allows users to promptly replace components in the equipment based on component evaluation results, reducing the impact of component damage on the normal operation of the equipment.
  • embodiments of the present disclosure provide a computer-readable storage medium in which multiple computer programs are stored.
  • the computer programs can be loaded by the processor to execute the methods provided by the embodiments of the disclosure.
  • the computer program can perform the following steps:
  • the first deduction value which represents the degree of failure of the component
  • the component is evaluated for failure and the evaluation result is obtained.
  • the operating parameters and fault reminder information can map the fault degree of the component.
  • the fault prompt information can be the prompt information that a minor fault, a serious fault, an emergency fault, etc. occurs when the component is working in the equipment, so that When performing fault assessment on a component, the operating parameters and fault prompt information associated with the component can be taken into consideration at the same time to achieve a comprehensive assessment of the fault degree of the component, so that users can promptly replace components in the equipment based on the component evaluation results and reduce component damage. Impact on the normal operation of the equipment.
  • the storage medium may include: read-only memory (ROM, Read Only Memory), random access memory (RAM, Random Access Memory), magnetic disk or optical disk, etc.
  • ROM read-only memory
  • RAM random access memory
  • magnetic disk or optical disk etc.

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Abstract

本公开实施例公开了评估方法，响应于构件故障，获取与构件关联的运行参数和故障提示信息；采用运行参数，计算第一扣分值，第一扣分值表征构件的故障程度；采用故障提示信息，计算第二扣分值，第二扣分值表征构件的故障程度；根据第一扣分值和第二扣分值，对构件进行故障评估，得到评估结果。

Description

一种评估方法、装置、电子设备和存储介质
本公开要求于2022年06月20日提交中国专利局、申请号为202210701467.3、发明名称为“一种评估方法、装置、电子设备和存储介质”的中国专利申请的优先权，其全部内容通过引用结合在本公开中。
技术领域
本公开涉及计算机领域，具体涉及一种评估方法、装置、电子设备和存储介质。
背景技术
为了可以向社会提供生产、生活所需的电能，常采用发电机和调相机的协同工作向电力系统提供稳定的电能，其中，发电机是将其他形式的能源转换成电能的机械设备，调相机是向电力系统提供或吸收无功功率的同步电动机，用于改善电网功率因数，维持电网电压水平。
然而，此类设备中的转子等构件会因为损坏而无法正常工作，影响了设备的正常运行。
技术问题
本公开实施例提供一种评估方法、装置、电子设备和存储介质，可以减少构件损坏对设备正常运行的影响。
技术解决方案
第一方面，本公开实施例提供一种评估方法，所述方法应用于设备，所述设备包括构件，所述方法包括：响应于所述构件故障，获取与所述构件关联的运行参数和故障提示信息；采用所述运行参数，计算第一扣分值，所述第一扣分值表征所述构件的故障程度；采用所述故障提示信息，计算第二扣分值，所述第二扣分值表征所述构件的故障程度；根据所述第一扣分值和所述第二扣分值，对所述构件进行故障评估，得到评估结果。
第二方面，本公开实施例还提供一种评估装置，所述装置应用于设备，所述设备包括构件，所述装置包括：响应单元，用于响应于所述构件故障，获取与所述构件关联的运行参数和故障提示信息；第一计算单元，用于采用所述运行参数，计算第一扣分值，所述第一扣分值表征所述构件的故障程度；第二计 算单元，用于采用所述故障提示信息，计算第二扣分值，所述第二扣分值表征所述构件的故障程度；评估单元，用于根据所述第一扣分值和所述第二扣分值，对所述构件进行故障评估，得到评估结果。
第三方面，本公开实施例还提供一种计算机设备，包括处理器和存储器，所述存储器存储有多条指令；所述处理器从所述存储器中加载指令，以执行本公开实施例所提供的任一种评估方法中的步骤。
第四方面，本公开实施例还提供一种计算机可读存储介质，所述计算机可读存储介质存储有多条指令，所述指令适于处理器进行加载，以执行本公开实施例所提供的任一种评估方法中的步骤。
有益效果
本公开实施例可以响应于构件故障，获取与构件关联的运行参数和故障提示信息；采用运行参数，计算第一扣分值，第一扣分值表征构件的故障程度；采用故障提示信息，计算第二扣分值，第二扣分值表征构件的故障程度；根据第一扣分值和第二扣分值，对构件进行故障评估，得到评估结果。在本公开中，运行参数和故障提醒信息可以映射构件的故障程度，该故障提示信息可以是构件在设备中工作时产生轻微故障、严重故障、紧急故障等的提示信息，使在对构件进行故障评估时可以同时考虑到与构件关联的运行参数和故障提示信息，实现对构件的故障程度进行全面的评估，便于用户可以根据构件的评估结果及时更换设备中的构件，减少构件损坏对设备正常运行的影响。
附图说明
为了更清楚地说明本公开实施例中的技术方案，下面将对实施例描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本公开的一些实施例，对于本领域技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。
图1a是本公开实施例提供的评估方法的场景示意图；
图1b是本公开实施例提供的评估方法的流程示意图；
图1c是本公开实施例提供的劣化度函数的函数图像；
图1d是本公开实施例提供的隶属度函数的函数图像；
图2是本公开实施例提供的评估装置的结构示意图；
图3是本公开实施例提供的电子设备的结构示意图。
本发明的实施方式
下面将结合本公开实施例中的附图，对本公开实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅仅是本公开一部分实施例，而不是全部的实施例。基于本公开中的实施例，本领域技术人员在没有作出创造性劳动前提下所获得的所有其他实施例，都属于本公开保护的范围。本公开实施例提供一种评估方法、装置、电子设备和存储介质。
其中，该评估装置具体可以集成在电子设备中，该电子设备可以为终端、服务器等设备。其中，终端可以为手机、平板电脑、智能蓝牙设备、笔记本电脑、或者个人电脑(Personal Computer，PC)等设备；服务器可以是单一服务器，也可以是由多个服务器组成的服务器集群。
在一些实施例中，该评估装置还可以集成在多个电子设备中，比如，评估装置可以集成在多个服务器中，由多个服务器来实现本公开的评估方法。
在一些实施例中，服务器也可以以终端的形式来实现。
例如，参考图1a，例如，参考图1a，该电子设备可以响应于构件故障，获取与构件关联的运行参数和故障提示信息；采用运行参数，计算第一扣分值，第一扣分值表征构件的故障程度；采用故障提示信息，计算第二扣分值，第二扣分值表征构件的故障程度；根据第一扣分值和第二扣分值，对构件进行故障评估，得到评估结果。
在本公开中，对构件进行故障评估时可以同时考虑到与构件关联的运行参数和故障提示信息，实现对构件的故障程度进行全面的评估，便于用户可以根据构件的评估结果及时更换设备中的构件，减少构件损坏对设备正常运行的影响。
以下分别进行详细说明。需说明的是，以下实施例的序号不作为对实施例优选顺序的限定。
在本实施例中，提供了一种评估方法，方法应用于设备，设备包括构件，如图1b所示，该评估方法的具体流程可以如下：
110、响应于构件故障，获取与构件关联的运行参数和故障提示信息。
其中，运行参数为构件在设备中运行时与构件关联的参数，比如，当构件出现故障时所影响的设备中的参数。
例如，当设备为调相机、构件为转子时，则与构件关联的运行参数可以是励磁电流相对偏差绝对值、盘车端轴振通频最大值、盘车端轴振通频变化率最大值、励端盖振通频最大值、励端盖振通频变化率最大值、磁通差值百分比δ最大值、盘车端轴瓦温度最大值、励端轴瓦温度最大值以及轴电压峰峰值，等等。
其中，故障提示信息为构件故障时设备发出提示的信息，比如，与构件的轻微故障等级、严重故障等级、紧急故障等级等故障等级关联的信息。
120、采用运行参数，计算第一扣分值，第一扣分值表征构件的故障程度。
其中，第一扣分值为评估构件故障时通过运行参数得到的扣分值，该扣分值表征构件的故障程度。
在一些实施例中，为了可以通过运行参数计算得到构件处于故障时的扣分值，采用运行参数，计算第一扣分值，包括：
确定运行参数对应的当前劣化度，当前劣化度表征运行参数在当前时间偏离正常值的程度；
根据当前劣化度，确定运行参数属于每个故障等级的隶属度；
根据每个运行参数对应的所有隶属度，确定第一扣分值。
其中，当前劣化度为运行参数在当前时间偏离正常值的程度，比如，运行参数偏离正常值的程度，可以确定运行参数对应的劣化度。
其中，正常值为构件正常运行时与其关联的运行参数。比如，构件没有任何破损的情况下运行时与其关联的运行参数。
其中，故障等级用于构件故障对应的等级，比如，故障等级可以包括正常的等级、轻微故障的等级、严重故障的等级、紧急故障的等级，等等。
其中，隶属度表征运行参数属于故障等级的程度，该隶属度通过当前劣化度计算得到。比如，故障等级有正常的等级、轻微故障的等级、严重故障的等级、紧急故障的等级，则通过运行参数对应的当前劣化度，得到运行参数属于正常的等级的隶属度、属于轻微故障的等级的隶属度、属于严重故障的等级的 隶属度以及属于紧急故障的等级的隶属度，等等。
在一些实施例中，考虑到可以计算得到运行参数对应的劣化度，确定运行参数对应的当前劣化度，包括：
获取与运行参数关联的劣化度函数；
根据劣化度函数和运行参数，确定运行参数对应的当前劣化度。
其中，劣化度函数为通过运行参数计算劣化度的函数。
在一些实施例中，参考图1c，每个运行参数关联的劣化度函数包括a和b两个参数值，参数a通过劣化度函数计算得到的劣化度为0，参数b通过劣化度函数计算的劣化度为1，参数a和参数b之间的参数对应的劣化度线性增加，其中，运行参数可以等于参数a或参数b，也可以等于其他的参数值。
由表1可知a和b的值可以是：
表1

例如，运行参数为励磁电流相对偏差绝对值且等于x1，与励磁电流相对偏差绝对值关联的劣化度函数为I(x1)，则x1对应的当前劣化度为I1。
运行参数为盘车端轴振通频最大值且等于x2，与盘车端轴振通频最大值关联的劣化度函数为I(x2)，则x2对应的当前劣化度为I2。
运行参数为盘车端轴振通频变化率最大值且等于x3，与盘车端轴振通频变化率最大值关联的劣化度函数为I(x3)，则x3对应的当前劣化度为I3。
运行参数为励端盖振通频最大值且等于x4，与励端盖振通频最大值关联的劣化度函数为I(x4)，则x4对应的当前劣化度为I4。
运行参数为励端盖振通频变化率最大值且等于x5，与励端盖振通频变化率最大值关联的劣化度函数为I(x5)，则x5对应的当前劣化度为I5。
运行参数为磁通差值百分比δ最大值且等于x6，与磁通差值百分比δ最大值关联的劣化度函数为I(x6)，则x6对应的当前劣化度为I6。
运行参数为盘车端轴瓦温度最大值且等于x7，与盘车端轴瓦温度最大值关联的劣化度函数为I(x7)，则x7对应的当前劣化度为I7。
运行参数为励端轴瓦温度最大值且等于x8，与励端轴瓦温度最大值关联的劣化度函数为I(x8)，则x8对应的当前劣化度为I8。
运行参数为轴电压峰峰值且等于x9，与轴电压峰峰值关联的劣化度函数为I(x9)，则x9对应的当前劣化度为I9。
在一些实施例中，为了考虑到可以将运行参数对应的劣化度与构件的故障等级关联，根据当前劣化度，确定运行参数属于每个故障等级的隶属度，包括：
获取所有故障等级对应的隶属度函数；
根据当前劣化度和所有隶属度函数，确定运行参数属于每个故障等级的隶属度。
其中，隶属度函数用于通过劣化度将运行参数与故障等级关联。
故障等级有正常的等级、轻微故障的等级、严重故障的等级、紧急故障的等级，例如，参考图1d，为上述故障等级对应的隶属度函数。
则与正常的等级对应的隶属度函数为r1：
r1＝{0.5-0.5*sin[π(I-0.15)/0.3]，1∈[0,0.3]；0，I∈(0.3，1]}。
与轻微故障的等级对应的隶属度函数为r2：
与严重故障的等级对应的隶属度函数为r3：
与严重故障的等级对应的隶属度函数为r4：
r4＝{0，I∈[0,0.7]，0.5+0.5*sin[π(I-0.85)/0.3]，I∈(0.7，1]}。
其中，将当前劣化度I1代入到r1中，得到w11；将当前劣化度I1代入到r2中，得到w12；将当前劣化度I1代入到r3中，得到w13；将当前劣化度I1代入到r4中，得到w14。通过上述w11、w12、w13和w14构成x1的隶属度向量W1(w11,w12,w13,w14)，剩余的当前劣化度I2～I9采用上述计算方法，得到x2的隶属度向量W2、x3的隶属度向量W3、x4的隶属度向量W4、x5的隶属度向量W5、x6的隶属度向量W6、x7的隶属度向量W7、x8的隶属度向量W8、x9的隶属度向量W9，如此，构成了所有运行参数对应的隶属度矩阵W(W1；W2；W3；W4；W5；W6；W7；W8；W9)，该隶属度矩阵为9行4列。
在一些实施例中，考虑到与构件关联的运行参数不止一个，在评估构件的故障时，为了将所有运行参数对应的隶属度融合，以生成一个便于评估构件故障的参数，根据每个运行参数对应的所有隶属度，确定第一扣分值，包括：
获取与运行参数对应的第一权重，以及每个故障等级对应的第二权重；
对第一权重、所有第二权重以及运行参数对应的隶属度进行相乘求和，得到运行参数对应的目标值；
根据所有运行参数对应的目标值，确定第一扣分值。
其中，第一权重为预先设置的运行参数在构件故障评估时所占据的比重。
与运行参数对应的第一权重的获取方法：
表2
例如，由表2可知，励磁电流相对偏差绝对值、盘车端轴振通频最大值、盘车端轴振通频变化率最大值、励端盖振通频最大值、励端盖振通频变化率最大值、磁通差值百分比δ最大值、盘车端轴瓦温度最大值和励端轴瓦温度最大值对应的权重系数都为1，轴电压峰峰值对应的权重系数为0.4，其中，所有运行参数对应的权重系数之和为8.4，将每个运行参数对应的权重系数除以权重系数之和，得到每个运行参数对应的第一权重。所有运行参数对应的第一权重具体可以是：M(1，1，1，1，1，1，1，1，0.4)/8.4，为了便于计算，对(1，1，1，1，1，1，1，1，0.4)和8.4进行通分，得到M(5，5，5，5，5，5，5，5，2)/42。
其中，第二权重为与故障等级关联的权重。
例如，故障等级为正常的等级所对应的权重为100，故障等级为轻微故障的等级所对应的权重为70，故障等级为严重故障的等级所对应的权重为30、故障等级为紧急故障的等级所对应的权重为0，则构成所有故障等级对应的第二权重向量：Y(100，70，30，0)。
对第一权重、所有第二权重以及运行参数对应的隶属度进行相乘求和，得到运行参数对应的目标值；并根据所有运行参数对应的目标值，确定第一扣分值的计算方法为：第一扣分值S0＝100-sum[(M*W)*Y]。
在一些实施例中，为了对故障等级赋予权重，可以通过与故障等级对应的隶属度函数来确定故障等级对应的权重，在每个故障等级对应的第二权重之前，还包括：
根据故障等级对应的隶属度函数和等于1的隶属度，确定目标劣化度；
根据隶属度函数对应的目标劣化度，确定故障等级对应的第二权重。
其中，目标劣化度为等于1的隶属度在隶属度函数中对应的劣化度。
例如，等于1的隶属度在隶属度函数r1中对应的目标劣化度为0，等于1的隶属度在隶属度函数r2中对应的目标劣化度为0.3，等于1的隶属度在隶属度函数r3中对应的目标劣化度为0.7，等于1的隶属度在隶属度函数r4中对应的目标劣化度为1。
即隶属于故障等级为正常的等级的目标劣化度为0，属于故障等级为轻微故障的等级的目标劣化度为0.3，属于故障等级为严重故障的等级的目标劣化度为0.7，属于故障等级为紧急故障的等级的目标劣化度为1，如此，为了赋予故障等级的权重，可以分别计算0、0.3、0.7和1在所有目标劣化度中所占据的百分比，得到目标劣化度为0时对应的百分比为0，目标劣化度为0.3时对应的百分比为30，目标劣化度为0.7时对应的百分比为70，目标劣化度为1时对应的百分比为100。
考虑到是对故障等级赋予权重，因按照故障等级的严重程度将数值大的赋予小的故障等级，数值大的赋予严重的故障等级，即百分比为100时对应的故障等级为正常的等级，百分比为70时对应的故障等级为轻微故障的等级，百分比为30时对应的故障等级为严重故障的等级，百分比为0时对应的故障等级为紧急故障的等级，从而构成所有故障等级对应的第二权重向量：Y(100，70，30，0)。
130、采用故障提示信息，计算第二扣分值，第二扣分值表征构件的故障程度。
其中，第二扣分值为评估构件故障时通过故障提示信息得到的扣分值，该扣分值表征构件的故障程度。
在一些实施例中，在评估构件的故障等级时，为了可以纳入影响构件故障评估的因素，将设备对构件出现故障所发出提示信息考虑到了故障评估中，故障提示信息包括多个故障等级和故障等级对应的故障个数，多个故障等级包括第一等级和第二等级，第二等级低于第一等级，采用故障提示信息，计算第二扣分值，包括：
根据第一等级对应的故障个数以及第二等级对应的故障个数，确定第一等级对应的中间值；
若最高级的故障等级对应的中间值满足预设条件时，基于所有故障等级对应的中间值，确定第二扣分值的确定方法为：
若最高级的故障等级对应的中间值满足预设条件时，获取预设中间值与预设扣分函数之间的映射关系；
根据预设中间值与预设扣分函数之间的映射关系，以及最高级的故障等级 对应的中间值，确定目标扣分函数；
根据目标扣分函数以及除最高级的故障等级以外的故障等级对应的中间值，确定第二扣分值；
若最高级的故障等级对应的中间值不满足预设条件时，将预设扣分值作为第二扣分值。
其中，故障个数个数为构件在出现相同故障时对应的个数。
例如，当构件出现故障时，设备发出轻微故障的提示，设备会对该轻微故障的提示进行统计，从而可以得到构件出现轻微故障的个数。
其中，第一等级高于第二等级。比如，第一等级可以是正常的等级、轻微故障的等级，还可以是严重故障的等级，还可以是紧急故障的等级。
例如，当第一等级为轻微故障的等级时，第二等级为正常的等级，则正常对应的等级没有对应的故障个数，此时，轻微故障的等级对应的中间值的计算公式为a′＝mod(a，5)，其中，a′为在轻微故障的等级对应的中间值，a为在轻微故障的等级对应的故障个数。
例如，当第一等级为严重故障的等级时，第二等级为正常的等级和轻微故障的等级，其中，正常的等级没有对应的故障个数，轻微故障对应的故障个数为a，此时，严重故障对应的中间值的计算公式为b′＝mod(b+int(a/5)，3)，其中，b′为轻微故障的等级对应的中间值，b为严重故障的等级对应的故障个数。
例如，当第一等级为紧急故障的等级时，第二等级为正常的等级、轻微故障的等级和严重故障的等级，其中，正常的等级没有对应的故障个数，轻微故障的故障个数为a，轻微故障的故障个数为b，此时，紧急故障的等级对应的中间值的计算公式为c′＝c+int(b+int(a/5))/3，其中，c′为紧急故障的等级对应的中间值，c为紧急故障的等级对应的故障个数。
其中，最高级的故障等级对应的中间值可以通过c′＝c+int(b+int(a/5))/3计算得到。
其中，预设扣分函数用于通过中间值计算设备发出构件故障的信息所得到的扣分值。
其中，预设中间值为预先设置的与预设扣分函数关联的中间值。
其中，预设中间值与预设扣分函数之间的映射关系用于将预设中间值与预 设扣分函数关联。
其中，目标扣分函数为最高级的故障等级对应的中间值所映射的预设扣分函数。
根据目标扣分函数以及除最高级的故障等级以外的故障等级对应的中间值，确定第二扣分值的确定方法为：
若c′＝1，对应的目标扣分函数为F＝85+2b′+a′，其中，该目标扣分函数中一个轻微故障扣1分，一个严重障碍扣2分。
若c′＝0且b′≠0，对应的目标扣分函数为F＝50+4b′+2a′，其中，该目标扣分函数中一个轻微故障扣2分，一个严重故障扣4分。
若c′＝0、b′＝0且a′≠0，对应的目标扣分函数为F＝15+4a′，其中，该目标扣分函数中一个轻微故障扣4分。
上述目标扣分函数中构件故障对应的扣分可以根据实际情况决定。
若最高级的故障等级对应的中间值不满足预设条件时，将预设扣分值作为第二扣分值的方法可以是：当c′≥2，则第二扣分值F等于预设扣分值，该预设扣分值可以是100，还可以根据实际情况设定。
140、根据第一扣分值和第二扣分值，对构件进行故障评估，得到评估结果。
其中，评估结果为构件经过故障评估后对应的故障等级。比如，评估结果可以是正常，还可以是轻微故障，还可以是严重故障，还可以是紧急故障，等等。
根据第一扣分值和第二扣分值，对构件进行故障评估的方法：
其中，构件的故障等级对应的分值区间为：
构件正常的等级—[85，100]，构件轻微故障的等级—[50，85)，构件严重故障的等级—[15，50)，构件紧急故障的等级—[0，15)。
构件的故障评估公式S＝100-S0-F，其中，S0为第一扣分值，F为第二扣分值。
例如：根据预设分值(满分100)分减去扣分总和(第一扣分值和第二扣分值)后得到的分数S，对比S所在的区间，当S在[85，100]的区间中，构件处于正常的等级；当S在[50，85)的区间中，构件处于轻微故障的等级；当S在[15， 50)的区间中，构件处于严重故障的等级；当S在[0，15)的区间中，构件处于严重故障的等级。
在一些实施例中，上述评估方法可以加载在控制设备的计算机上，还可以加载在独立的装置上，该装置可以评估该设备，等等。
由上可知，本公开实施例可以响应于构件故障，获取与构件关联的运行参数和故障提示信息；采用运行参数，计算第一扣分值，第一扣分值表征构件的故障程度；采用故障提示信息，计算第二扣分值，第二扣分值表征构件的故障程度；根据第一扣分值和第二扣分值，对构件进行故障评估，得到评估结果。
由此本方案可以通过第一扣分值和第二扣分值，其中，运行参数和故障提醒信息可以映射构件的故障程度，该故障提示信息可以是构件在设备中工作时产生轻微故障、严重故障、紧急故障等的提示信息，使在对构件进行故障评估时可以同时考虑到与构件关联的运行参数和故障提示信息，实现对构件的故障程度进行全面的评估，便于用户可以根据构件的评估结果及时更换设备中的构件，减少构件损坏对设备正常运行的影响。
为了更好地实施以上方法，本公开实施例还提供一种评估装置，该评估装置具体可以集成在电子设备中，该电子设备可以为终端、服务器等设备。其中，终端可以为手机、平板电脑、智能蓝牙设备、笔记本电脑、个人电脑等设备；服务器可以是单一服务器，也可以是由多个服务器组成的服务器集群。
比如，在本实施例中，将以评估装置具体集成在电子设备为例，对本公开实施例的方法进行详细说明。
例如，如图2所示，该评估装置可以包括响应单元210、第一计算单元220、第二计算单元230以及评估单元240，如下：
(一)、响应单元210。
响应单元210，用于响应于构件故障，获取与构件关联的运行参数和故障提示信息。
(二)、第一计算单元220。
第一计算单元220，用于采用运行参数，计算第一扣分值，第一扣分值表征构件的故障程度。
在一些实施例中，采用运行参数，计算第一扣分值，包括：
确定运行参数对应的当前劣化度，当前劣化度表征运行参数在当前时间偏离正常值的程度；
根据当前劣化度，确定运行参数属于每个故障等级的隶属度；
根据每个运行参数对应的所有隶属度，确定第一扣分值。
在一些实施例中，确定运行参数对应的当前劣化度，包括：
获取与运行参数关联的劣化度函数；
根据劣化度函数和运行参数，确定运行参数对应的当前劣化度。
在一些实施例中，根据当前劣化度，确定运行参数属于每个故障等级的隶属度，包括：
获取所有故障等级对应的隶属度函数；
根据当前劣化度和所有隶属度函数，确定运行参数属于每个故障等级的隶属度。
在一些实施例中，根据每个运行参数对应的所有隶属度，确定第一扣分值，包括：
获取与运行参数对应的第一权重，以及每个故障等级对应的第二权重；
对第一权重、所有第二权重以及运行参数对应的隶属度进行相乘求和，得到运行参数对应的目标值；
根据所有运行参数对应的目标值，确定第一扣分值。
在一些实施例中，在每个故障等级对应的第二权重之前，还包括：
根据故障等级对应的隶属度函数和等于1的隶属度，确定目标劣化度；
根据隶属度函数对应的目标劣化度，确定故障等级对应的第二权重。
(三)、第二计算单元230。
第二计算单元230，用于采用故障提示信息，计算第二扣分值，第二扣分值表征构件的故障程度。
在一些实施例中，故障提示信息包括多个故障等级和故障等级对应的故障个数，多个故障等级包括第一等级和第二等级，第二等级低于第一等级，采用故障提示信息，计算第二扣分值，包括：
根据第一等级对应的故障个数以及第二等级对应的故障个数，确定第一等 级对应的中间值；
若最高级的故障等级对应的中间值满足预设条件时，基于所有故障等级对应的中间值，确定第二扣分值；
若最高级的故障等级对应的中间值不满足预设条件时，将预设扣分值作为第二扣分值。
在一些实施例中，若最高级的故障等级对应的中间值满足预设条件时，基于所有故障等级对应的中间值，确定第二扣分值，包括：
若最高级的故障等级对应的中间值满足预设条件时，获取预设中间值与预设扣分函数之间的映射关系；
根据预设中间值与预设扣分函数之间的映射关系，以及最高级的故障等级对应的中间值，确定目标扣分函数；
根据目标扣分函数以及除最高级的故障等级以外的故障等级对应的中间值，确定第二扣分值。
(四)、评估单元240。
评估单元，用于根据第一扣分值和第二扣分值，对构件进行故障评估，得到评估结果。
具体实施时，以上各个单元可以作为独立的实体来实现，也可以进行任意组合，作为同一或若干个实体来实现，以上各个单元的具体实施可参见前面的方法实施例，在此不再赘述。
由此，本公开实施例的评估装置由响应单元响应于构件故障，获取与构件关联的运行参数和故障提示信息；由第一计算单元采用运行参数，计算第一扣分值，第一扣分值表征构件的故障程度；由第二计算单元采用故障提示信息，计算第二扣分值，第二扣分值表征构件的故障程度；由评估单元根据第一扣分值和第二扣分值，对构件进行故障评估，得到评估结果。由此，本公开实施例可以实现对构件的故障程度进行全面的评估，便于用户可以根据构件的评估结果及时更换设备中的构件，减少构件损坏对设备正常运行的影响。
相应的，本公开实施例还提供一种电子设备，该电子设备可以为终端或服务器，该终端可以为智能手机、平板电脑、笔记本电脑、触控屏幕、游戏机、 个人计算机、个人数字助理(Personal Digital Assistant，PDA)等终端设备。
如图3所示，图3为本公开实施例提供的电子设备的结构示意图，该电子设备300包括有一个或者一个以上处理核心的处理器310、有一个或一个以上计算机可读存储介质的存储器320及存储在存储器320上并可在处理器上运行的计算机程序。其中，处理器310与存储器320电性连接。本领域技术人员可以理解，图中示出的电子设备结构并不构成对电子设备的限定，可以包括比图示更多或更少的部件，或者组合某些部件，或者不同的部件布置。
处理器310是电子设备300的控制中心，利用各种接口和线路连接整个电子设备300的各个部分，通过运行或加载存储在存储器320内的软件程序和/或模块，以及调用存储在存储器320内的数据，执行电子设备300的各种功能和处理数据，从而对电子设备300进行整体监控。
在本公开实施例中，电子设备300中的处理器310会按照如下的步骤，将一个或一个以上的应用程序的进程对应的指令加载到存储器320中，并由处理器310来运行存储在存储器320中的应用程序，从而实现各种功能：
在本公开实施例中，计算机设备400中的处理器410会按照如下的步骤，将一个或一个以上的应用程序的进程对应的指令加载到存储器420中，并由处理器410来运行存储在存储器420中的应用程序，从而实现前述各个方法实施例的方法：
响应于构件故障，获取与构件关联的运行参数和故障提示信息；采用运行参数，计算第一扣分值，第一扣分值表征构件的故障程度；采用故障提示信息，计算第二扣分值，第二扣分值表征构件的故障程度；根据第一扣分值和第二扣分值，对构件进行故障评估，得到评估结果。
本实施例运行的评估方法的具体实施例内容，同样适用于前述的评估方法的实施例内容，故在此不做赘述。
本公开实施例运行的评估方法，运行参数和故障提醒信息可以映射构件的故障程度，该故障提示信息可以是构件在设备中工作时产生轻微故障、严重故障、紧急故障等的提示信息，使在对构件进行故障评估时可以同时考虑到与构件关联的运行参数和故障提示信息，实现对构件的故障程度进行全面的评估，便于用户可以根据构件的评估结果及时更换设备中的构件，减少构件损坏对设 备正常运行的影响。
可选的，如图3所示，电子设备300还包括：触控显示屏330、射频电路340、音频电路350、输入单元360以及电源370。其中，处理器310分别与触控显示屏330、射频电路340、音频电路350、输入单元360以及电源370电性连接。本领域技术人员可以理解，图3中示出的电子设备结构并不构成对电子设备的限定，可以包括比图示更多或更少的部件，或者组合某些部件，或者不同的部件布置。
触控显示屏330可用于显示图形用户界面以及接收用户作用于图形用户界面产生的操作指令。触控显示屏330可以包括显示面板和触控面板。其中，显示面板可用于显示由用户输入的信息或提供给用户的信息以及电子设备的各种图形用户接口，这些图形用户接口可以由图形、文本、图标、视频和其任意组合来构成。可选的，可以采用液晶显示器(LCD，Liquid Crystal Display)、有机发光二极管(OLED，Organic Light-Emitting Diode)等形式来配置显示面板。触控面板可用于收集用户在其上或附近的触摸操作(比如用户使用手指、触笔等任何适合的物体或附件在触控面板上或在触控面板附近的操作)，并生成相应的操作指令，且操作指令执行对应程序。可选的，触控面板可包括触摸检测装置和触摸控制器两个部分。其中，触摸检测装置检测用户的触摸方位，并检测触摸操作带来的信号，将信号传送给触摸控制器；触摸控制器从触摸检测装置上接收触摸信息，并将它转换成触点坐标，再送给处理器310，并能接收处理器310发来的命令并加以执行。触控面板可覆盖显示面板，当触控面板检测到在其上或附近的触摸操作后，传送给处理器310以确定触摸事件的类型，随后处理器310根据触摸事件的类型在显示面板上提供相应的视觉输出。在本公开实施例中，可以将触控面板与显示面板集成到触控显示屏330而实现输入和输出功能。但是在某些实施例中，触控面板与触控面板可以作为两个独立的部件来实现输入和输出功能。即触控显示屏330也可以作为输入单元360的一部分实现输入功能。
射频电路340可用于收发射频信号，以通过无线通信与网络设备或其他电子设备建立无线通讯，与网络设备或其他电子设备之间收发信号。
音频电路350可以用于通过扬声器、传声器提供用户与电子设备之间的音 频接口。音频电路350可将接收到的音频数据转换后的电信号，传输到扬声器，由扬声器转换为声音信号输出；另一方面，传声器将收集的声音信号转换为电信号，由音频电路350接收后转换为音频数据，再将音频数据输出处理器310处理后，经射频电路340以发送给比如另一电子设备，或者将音频数据输出至存储器320以便进一步处理。音频电路350还可能包括耳塞插孔，以提供外设耳机与电子设备的通信。
输入单元360可用于接收输入的数字、字符信息或用户特征信息(例如指纹、虹膜、面部信息等)，以及产生与用户设置以及功能控制有关的键盘、鼠标、操作杆、光学或者轨迹球信号输入。
电源370用于给电子设备300的各个部件供电。可选的，电源370可以通过电源管理系统与处理器310逻辑相连，从而通过电源管理系统实现管理充电、放电、以及功耗管理等功能。电源370还可以包括一个或一个以上的直流或交流电源、再充电系统、电源故障检测电路、电源转换器或者逆变器、电源状态指示器等任意组件。
尽管图3中未示出，电子设备300还可以包括摄像头、传感器、无线保真模块、蓝牙模块等，在此不再赘述。
在上述实施例中，对各个实施例的描述都各有侧重，某个实施例中没有详述的部分，可以参见其他实施例的相关描述。
由上可知，本实施例提供的电子设备可以通过第一扣分值和第二扣分值，其中，运行参数和故障提醒信息可以映射构件的故障程度，该故障提示信息可以是构件在设备中工作时产生轻微故障、严重故障、紧急故障等的提示信息，使在对构件进行故障评估时可以同时考虑到与构件关联的运行参数和故障提示信息，实现对构件的故障程度进行全面的评估，便于用户可以根据构件的评估结果及时更换设备中的构件，减少构件损坏对设备正常运行的影响。
本领域普通技术人员可以理解，上述实施例的各种方法中的全部或部分步骤可以通过指令来完成，或通过指令控制相关的硬件来完成，该指令可以存储于一计算机可读存储介质中，并由处理器进行加载和执行。
为此，本公开实施例提供一种计算机可读存储介质，其中存储有多条计算机程序，该计算机程序能够被处理器进行加载，以执行本公开实施例所提供的 任一种评估方法中的步骤。例如，该计算机程序可以执行如下步骤：
响应于构件故障，获取与构件关联的运行参数和故障提示信息；
采用运行参数，计算第一扣分值，第一扣分值表征构件的故障程度；
采用故障提示信息，计算第二扣分值，第二扣分值表征构件的故障程度；
根据第一扣分值和第二扣分值，对构件进行故障评估，得到评估结果。
本实施例运行的评估方法的具体实施例内容，同样适用于前述的评估方法的实施例内容，故在此不做赘述。
本公开实施例运行的评估方法，运行参数和故障提醒信息可以映射构件的故障程度，该故障提示信息可以是构件在设备中工作时产生轻微故障、严重故障、紧急故障等的提示信息，使在对构件进行故障评估时可以同时考虑到与构件关联的运行参数和故障提示信息，实现对构件的故障程度进行全面的评估，便于用户可以根据构件的评估结果及时更换设备中的构件，减少构件损坏对设备正常运行的影响。
其中，该存储介质可以包括：只读存储器(ROM，Read Only Memory)、随机存取记忆体(RAM，Random Access Memory)、磁盘或光盘等。
由于该存储介质中所存储的计算机程序，可以执行本公开实施例所提供的任一种评估方法中的步骤，因此，可以实现本公开实施例所提供的任一种评估方法所能实现的有益效果，详见前面的实施例，在此不再赘述。
以上对本公开实施例所提供的一种评估方法、装置、计算机设备和存储介质进行了详细介绍，本文中应用了具体个例对本公开的原理及实施方式进行了阐述，以上实施例的说明只是用于帮助理解本公开的方法及其核心思想；同时，对于本领域的技术人员，依据本公开的思想，在具体实施方式及应用范围上均会有改变之处，综上所述，本说明书内容不应理解为对本公开的限制。

Claims (20)

  1. 一种评估方法，所述方法应用于设备，所述设备包括构件，所述方法包括：
    响应于所述构件故障，获取与所述构件关联的运行参数和故障提示信息；
    采用所述运行参数，计算第一扣分值，所述第一扣分值表征所述构件的故障程度；
    采用所述故障提示信息，计算第二扣分值，所述第二扣分值表征所述构件的故障程度；
    根据所述第一扣分值和所述第二扣分值，对所述构件进行故障评估，得到评估结果。
  2. 如权利要求1所述的评估方法，其中，所述故障提示信息包括多个故障等级和所述故障等级对应的故障个数，所述多个故障等级包括第一等级和第二等级，所述第二等级低于所述第一等级，所述采用所述故障提示信息，计算第二扣分值，包括：
    根据所述第一等级对应的故障个数以及所述第二等级对应的故障个数，确定所述第一等级对应的中间值；
    若最高级的所述故障等级对应的中间值满足预设条件时，基于所有所述故障等级对应的中间值，确定第二扣分值；
    若最高级的所述故障等级对应的中间值不满足预设条件时，将预设扣分值作为所述第二扣分值。
  3. 如权利要求2所述的评估方法，其中，所述若最高级的所述故障等级对应的中间值满足预设条件时，基于所有所述故障等级对应的中间值，确定第二扣分值，包括：
    若最高级的所述故障等级对应的中间值满足预设条件时，获取预设中间值与预设扣分函数之间的映射关系；
    根据所述预设中间值与预设扣分函数之间的映射关系，以及最高级的所述故障等级对应的中间值，确定目标扣分函数；
    根据所述目标扣分函数以及除最高级的所述故障等级以外的所述故障等级对应的中间值，确定第二扣分值。
  4. 如权利要求1所述的评估方法，其中，所述采用所述运行参数，计算第一扣分值，包括：
    确定所述运行参数对应的当前劣化度，所述当前劣化度表征所述运行参数在当前时间偏离正常值的程度；
    根据所述当前劣化度，确定所述运行参数属于每个故障等级的隶属度；
    根据每个所述运行参数对应的所有隶属度，确定第一扣分值。
  5. 如权利要求4所述的评估方法，其中，所述确定所述运行参数对应的当前劣化度，包括：
    获取与所述运行参数关联的劣化度函数；
    根据所述劣化度函数和所述运行参数，确定所述运行参数对应的当前劣化度。
  6. 如权利要求4所述的评估方法，其中，所述根据所述当前劣化度，确定所述运行参数属于每个故障等级的隶属度，包括：
    获取所有所述故障等级对应的隶属度函数；
    根据所述当前劣化度和所有所述隶属度函数，确定所述运行参数属于每个故障等级的隶属度。
  7. 如权利要求4所述的评估方法，其中，所述根据每个所述运行参数对应的所有隶属度，确定第一扣分值，包括：
    获取与所述运行参数对应的第一权重，以及每个所述故障等级对应的第二权重；
    对所述第一权重、所有所述第二权重以及所述运行参数对应的隶属度进行相乘求和，得到所述运行参数对应的目标值；
    根据所有所述运行参数对应的目标值，确定第一扣分值。
  8. 如权利要求7所述的评估方法，其中，在所述获取每个所述故障等级对应的第二权重之前，还包括：
    根据所述故障等级对应的隶属度函数和等于1的隶属度，确定目标劣化度；
    根据所述隶属度函数对应的目标劣化度，确定所述故障等级对应的第二权重。
  9. 如权利要求1～8任一项所述的评估方法，其中，所述根据所述第一扣分 值和所述第二扣分值，对所述构件进行故障评估，得到评估结果，包括：
    确定扣分总和，所述扣分总和等于所述第一扣分值和所述第二扣分值相加；
    将预设分值减去所述扣分总和，得到所述构件对应的分数；
    根据所述构件对应的分数，对所述构件进行故障评估，得到评估结果。
  10. 如权利要求9所述的评估方法，其中，所述根据所述构件对应的分数，对所述构件进行故障评估，得到评估结果，包括：
    获取所述构件的故障等级对应的分值区间；
    根据所述故障等级对应的分值区间，确定所述构件对应的分数的故障等级。
  11. 一种评估装置，所述装置应用于设备，所述设备包括构件，所述装置包括：
    响应单元，用于响应于所述构件故障，获取与所述构件关联的运行参数和故障提示信息；
    第一计算单元，用于采用所述运行参数，计算第一扣分值，所述第一扣分值表征所述构件的故障程度；
    第二计算单元，用于采用所述故障提示信息，计算第二扣分值，所述第二扣分值表征所述构件的故障程度；
    评估单元，用于根据所述第一扣分值和所述第二扣分值，对所述构件进行故障评估，得到评估结果。
  12. 如权利要求11所述的评估装置，其中，所述故障提示信息包括多个故障等级和所述故障等级对应的故障个数，所述多个故障等级包括第一等级和第二等级，所述第二等级低于所述第一等级，所述第二计算单元，包括：
    第二扣分中间子单元，用于根据所述第一等级对应的故障个数以及所述第二等级对应的故障个数，确定所述第一等级对应的中间值；
    第二扣分计算子单元，用于若最高级的所述故障等级对应的中间值满足预设条件时，基于所有所述故障等级对应的中间值，确定第二扣分值；若最高级的所述故障等级对应的中间值不满足预设条件时，将预设扣分值作为所述第二扣分值。
  13. 如权利要求12所述的评估装置，其中，所述第二扣分计算子单元，包括：
    第一子单元，用于若最高级的所述故障等级对应的中间值满足预设条件时，获取预设中间值与预设扣分函数之间的映射关系；
    第二子单元，用于根据所述预设中间值与预设扣分函数之间的映射关系，以及最高级的所述故障等级对应的中间值，确定目标扣分函数；
    第三子单元，用于根据所述目标扣分函数以及除最高级的所述故障等级以外的所述故障等级对应的中间值，确定第二扣分值。
  14. 如权利要求11所述的评估装置，其中，所述第一计算单元，包括：
    劣化度计算子单元，用于确定所述运行参数对应的当前劣化度，所述当前劣化度表征所述运行参数在当前时间偏离正常值的程度；
    隶属度计算子单元，用于根据所述当前劣化度，确定所述运行参数属于每个故障等级的隶属度；
    第一扣分计算子单元，用于根据每个所述运行参数对应的所有隶属度，确定第一扣分值。
  15. 如权利要求14所述的评估装置，其中，所述劣化度计算子单元，包括：
    第四子单元，用于获取与所述运行参数关联的劣化度函数；
    第五子单元，用于根据所述劣化度函数和所述运行参数，确定所述运行参数对应的当前劣化度。
  16. 如权利要求14所述的评估装置，其中，所述隶属度计算子单元，包括：
    第六子单元，用于获取所有所述故障等级对应的隶属度函数；
    第七子单元，用于根据所述当前劣化度和所有所述隶属度函数，确定所述运行参数属于每个故障等级的隶属度。
  17. 如权利要求14所述的评估装置，其中，所述第一扣分计算子单元，包括：
    第八子单元，用于获取与所述运行参数对应的第一权重，以及每个所述故障等级对应的第二权重；
    第九子单元，用于对所述第一权重、所有所述第二权重以及所述运行参数对应的隶属度进行相乘求和，得到所述运行参数对应的目标值；
    第十子单元，用于根据所有所述运行参数对应的目标值，确定第一扣分值。
  18. 如权利要求17所述的评估装置，其中，所述在所述每个所述故障等级对应的第二权重之前，还包括：
    第十一子单元，用于根据所述故障等级对应的隶属度函数和等于1的隶属度，确定目标劣化度；
    第十二子单元，用于根据所述隶属度函数对应的目标劣化度，确定所述故障等级对应的第二权重。
  19. 一种电子设备，其中，包括处理器和存储器，所述存储器存储有多条指令；所述处理器从所述存储器中加载指令，以执行如权利要求1～10任一项所述的评估方法中的步骤。
  20. 一种计算机可读存储介质，其中，所述计算机可读存储介质存储有多条指令，所述指令适于处理器进行加载，以执行权利要求1～10任一项所述的评估方法中的步骤。
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