CN119919019A - A quality assessment method, device, equipment and medium for engineering vehicles - Google Patents
A quality assessment method, device, equipment and medium for engineering vehicles Download PDFInfo
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Abstract
本发明公开了一种工程车辆的质量评估方法、装置、设备及介质。该方法包括：根据工程车辆上传的故障信息以及针对各类型故障预先设置的故障等级系数，分别计算目标时间段内每日的平均无故障工时；根据目标时间段内每日的平均无故障工时，确定目标时间段内无故障工时的稳定性；根据目标时间段内每日的平均无故障工时以及无故障工时的稳定性，确定工程车辆的质量评估结果。采用上述技术方案，计算得到的平均无故障工时能够准确反映车辆实际的的故障情况，从而能够解决现有技术中对车辆质量评估不准确的问题，有效保证工程车辆的工作安全。
The present invention discloses a method, device, equipment and medium for quality assessment of engineering vehicles. The method comprises: calculating the average daily trouble-free working hours in a target time period according to the fault information uploaded by the engineering vehicle and the fault grade coefficients pre-set for each type of fault; determining the stability of the trouble-free working hours in the target time period according to the average daily trouble-free working hours in the target time period; determining the quality assessment result of the engineering vehicle according to the average daily trouble-free working hours in the target time period and the stability of the trouble-free working hours. By adopting the above technical scheme, the calculated average trouble-free working hours can accurately reflect the actual fault situation of the vehicle, thereby solving the problem of inaccurate vehicle quality assessment in the prior art and effectively ensuring the working safety of the engineering vehicle.
Description
Technical Field
The present invention relates to the field of vehicle quality detection technologies, and in particular, to a method, an apparatus, a device, and a medium for evaluating quality of an engineering vehicle.
Background
In the engineering machinery industry, the average working hours without faults of the engineering machinery vehicle are often calculated, the calculated result of the average working hours without faults directly reflects the quality level of the engineering machinery vehicle, and the longer the average working hours without faults, the longer the average working time between two faults of the vehicle is, namely the lower the frequency of the faults of the vehicle in the normal use process is, so that the high quality and the reliability of the product are reflected.
In the traditional average fault-free man-hour measurement scheme, the average value is simply calculated according to the number of faults and the working time, the faults reported by the vehicles are not distinguished in a light-heavy and urgent manner, the engineering vehicles with frequent small faults possibly generate quality alarm, the engineering vehicles with a plurality of times of large faults still continue to work, and the evaluation result obtained in the traditional mode possibly has a large error with the actual vehicle condition, so that the judgment of technicians is affected, and the quality problem of the engineering vehicles cannot be detected in time.
Disclosure of Invention
The invention provides a quality assessment method, a device, equipment and a medium for an engineering vehicle, wherein the calculated average fault-free working hours can accurately reflect the actual fault condition of the vehicle, so that the problem of inaccurate vehicle quality assessment in the prior art can be solved, and the working safety of the engineering vehicle is effectively ensured.
According to an aspect of the present invention, there is provided a quality assessment method of an engineering vehicle, including:
According to the fault information uploaded by the engineering vehicle and the fault grade coefficients preset for each type of fault, calculating average fault-free working hours per day in a target time period respectively;
According to the average non-fault working hours in the target time period, determining the stability of the non-fault working hours in the target time period;
And determining a quality evaluation result of the engineering vehicle according to the average fault-free man-hour and the stability of the fault-free man-hour in the target time period.
Optionally, the fault information includes a vehicle number, a fault code, and a fault time.
Optionally, according to fault information uploaded by the engineering vehicle and fault grade coefficients preset for each type of fault, calculating average fault-free man-hour of each day in a target time period respectively, including:
according to the fault code and the fault time in the fault information, determining the number of times of daily faults and the fault type of each fault in a target time period;
and calculating the average fault-free working hour per day in the target time period according to the number of faults per day in the target time period, the fault type of each fault and the fault grade coefficient.
Optionally, calculating the average non-fault man-hour of each day in the target time period according to the number of faults in each day in the target time period, the fault type of each fault and the fault grade coefficient, including:
the average mean fault-free man-hour per day is calculated according to the following formula:
;
Wherein t is the single day calculation time, ki is the fault grade coefficient corresponding to the fault grade i, and mi is the number of times the fault grade i occurs on the same day.
Optionally, determining the stability of the non-faulty man-hour in the target time period according to the average non-faulty man-hour in the target time period every day includes:
Calculating the average value of the fault-free man-hour in the target time period according to the average fault-free man-hour in the target time period;
And calculating the variance of the non-fault working hours in the target time period according to the average value of the non-fault working hours in the target time period, and determining the stability of the non-fault working hours in the target time period according to the variance of the non-fault working hours.
Optionally, calculating the variance of the non-fault man-hour in the target time period according to the mean value of the non-fault man-hour in the target time period, and determining the stability of the non-fault man-hour in the target time period according to the variance of the non-fault man-hour, including:
The variance of the fault-free man-hour in the target period is calculated according to the following formula:
;
Wherein, As the variance of the fault-free man-hour within the target period,For the mean value of the fault-free man-hours in the target time period, the MTBF1 to MTBFn are respectively the single-day mean fault-free man-hours per day;
and determining the stability score of the engineering vehicle in the target time period according to the fault-free man-hour variance.
Optionally, determining the quality evaluation result of the engineering vehicle according to the average non-fault man-hour and the stability of the non-fault man-hour in the target time period, including:
When the condition that any one of the following conditions is met is determined according to the average fault-free working hours and the stability of the fault-free working hours in the target time period, the quality problem of the engineering vehicle is determined, and fault checking prompt information is generated according to the vehicle number and sent to a background manager:
the stability score of the engineering vehicle in the target time period is larger than a first numerical value;
And the number of days greater than the second value in the average fault-free working hours in the target time period reaches the preset target number of days.
According to another aspect of the present invention, there is provided a quality evaluation device of an engineering vehicle, including:
The daily average fault-free man-hour calculation module is used for calculating daily average fault-free man-hours in a target time period according to fault information uploaded by the engineering vehicle and fault grade coefficients preset for each type of faults;
the non-fault working hour stability calculation module is used for determining the stability of the non-fault working hour in the target time period according to the average non-fault working hour in the target time period every day;
And the quality evaluation module is used for determining the quality evaluation result of the engineering vehicle according to the average non-fault working hours and the stability of the non-fault working hours in the target time period.
According to another aspect of the present invention, there is provided an electronic apparatus including:
At least one processor;
and a memory communicatively coupled to the at least one processor, wherein,
The memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the method for evaluating the quality of an engineering vehicle according to any one of the embodiments of the present invention.
According to another aspect of the present invention, there is provided a computer readable storage medium storing computer instructions for causing a processor to implement the quality assessment method of an engineering vehicle according to any one of the embodiments of the present invention when executed.
According to the technical scheme of the embodiment of the invention, the average non-fault working hour per day in the target time period is calculated according to the fault information uploaded by the engineering vehicle and the fault grade coefficient preset for each type of fault, the stability of the non-fault working hour in the target time period is determined according to the average non-fault working hour per day in the target time period, and the quality assessment result of the engineering vehicle is determined according to the average non-fault working hour per day and the stability of the non-fault working hour in the target time period, so that the severity of each fault can be combined, the average non-fault working hour of the engineering vehicle can be calculated reasonably, the calculation result is more fit with the actual condition of the vehicle, the actual fault state of the vehicle can be reflected, the vehicle with the quality problem and really needing maintenance can be prompted, the fault vehicle can be maintained in time, and the use safety of the vehicle is ensured.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a quality evaluation method of an engineering vehicle according to a first embodiment of the present invention;
FIG. 2 is a flow chart of another method for evaluating the quality of an engineering vehicle according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of a quality assessment device for an engineering vehicle according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device implementing a quality evaluation method of an engineering vehicle according to an embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
Fig. 1 is a flowchart of a quality assessment method for an engineering vehicle according to an embodiment of the present invention, where the method may be applied to a situation of reasonably calculating average non-fault working hours of a vehicle and further monitoring the quality of the vehicle, and the method may be performed by a quality assessment device for an engineering vehicle, where the quality assessment device for an engineering vehicle may be implemented in a hardware and/or software form and may be generally configured in a background supervision platform of an engineering vehicle. As shown in fig. 1, the method includes:
S110, calculating average fault-free man-hour per day in a target time period according to fault information uploaded by the engineering vehicle and fault grade coefficients preset for each type of faults.
Optionally, the fault information includes a vehicle number, a fault code, and a fault time.
Alternatively, the vehicle number may be used to identify the vehicle that generated the fault, each engineering vehicle having a unique vehicle number, the fault code may be used to identify the type of fault, and the fault code may also be used to identify the part of the problem that caused the fault, the time of the fault may be used to identify the time of the fault generation, and the time of the fault may be in natural days or in hours or minutes.
Optionally, the engineering vehicle background supervision platform may obtain fault information of multiple engineering vehicles at the same time, determine fault information matched with each engineering vehicle according to the vehicle number in each fault information, and calculate according to the fault information matched with the target vehicle when determining the quality evaluation result for the target vehicle.
Optionally, the technical scheme provided by the invention is not limited to quality evaluation of engineering vehicles, and can be used for quality evaluation of vehicles such as automobiles, ships, airplanes and the like.
It will be appreciated that the types of faults that may occur in the work vehicle are more numerous and that the severity of the different faults may vary, for example, faults that have less impact on the safety of the vehicle such as a short circuit in the wiper, faults that have failed to start the engine are obstructive faults, if 5 faults of lower severity such as a short circuit in the wiper occur in the vehicle a during the day, and 2 obstructive faults occur in the vehicle B, if calculated in the conventional way, the average non-faulty man-hour of the vehicle a may be considered shorter, and the quality problem of the vehicle a is determined, however, the problem of the vehicle B is actually more serious.
Therefore, based on the above-mentioned problems, the inventors of the present application have proposed a way to classify faults and set different fault class coefficients for different classes of faults, so as to improve the calculation accuracy in average fault-free man-hours.
Alternatively, for lower-level faults, the matching fault coefficients may be set to a smaller value, and for higher-level faults, the matching fault coefficients may be set to a larger value.
In a specific embodiment, 5 fault levels may be set, such as levels 1-5, for which matching fault level coefficients may be 0.1, 0.2, 1, 1.5, and 2 in order.
Alternatively, the formula may be based onAnd calculating the average fault-free working hours MTBF, wherein a is the number of fault levels, t is the time in a single calculation period, ki is the fault level coefficient corresponding to the fault level i, and mi is the occurrence frequency of the fault level i in the single calculation period.
Alternatively, the single calculation period may be one natural day, a plurality of natural days, a continuous working period of the engineering vehicle, etc., for example, t may be 24 if there is an average fault-free working time of each day, and t may be 16 if there is an average fault-free working time of the engineering vehicle within 16 hours of continuous working, which is not limited by the above description.
Alternatively, the number of failure levels a may be determined according to failure levels preset by the user, for example, when the user classifies the failure into 5 different levels, a may be 5, but the number of failure levels is not limited.
In a specific embodiment, taking 5 failure levels as an example, mtbf=t/(k1×m1+k2×m2+k3×m3+k4×m4+k5×m5+1) is taken as the case, where k1-k5 are failure level coefficients corresponding to the 5 failure levels, and m1-m5 are the failure times of each failure level in a single calculation cycle.
Alternatively, the target period may be a period in which the user needs to monitor the vehicle quality, may be a specified period, for example, 1 week, or may be a period from the last maintenance to the current time.
S120, determining the stability of the fault-free working hours in the target time period according to the average fault-free working hours in the target time period.
Alternatively, after calculating the average non-faulty man-hour in the target period, the variance of the non-faulty man-hour in the target period may be calculated, and the stability of the vehicle in the non-faulty man-hour in the target period may be represented by the variance.
Alternatively, the formula may be based on: The average value of the number of non-faulty man-hours in the target period is calculated, where n represents the number of times the average non-faulty man-hours in the target period is calculated, for example, if the target period is 7 days and the average non-faulty man-hours are calculated in units of natural days, the average non-faulty man-hours of 7 times per day is calculated in total in 7 days, and in this case, n may be 7.
Optionally, after calculating the average value of the non-faulty man-hours in the target period, the variance of the non-faulty man-hours in the target period is further calculated:
;
Wherein, As the variance of the fault-free man-hour within the target period,For the mean value of the trouble-free man-hours in the target period, MTBF1 to MTBFn are each a single-day mean trouble-free man-hour per day, and n is the number of days in the target period.
Alternatively to this, the method may comprise,Can be used as a stability score of engineering vehicles for representing the stability of the non-fault working hours,The larger the engineering vehicle is, the worse the stability of the working hours without faults in the target time period is,The smaller the engineering vehicle is, the more stable the working hours without failure in the target period of time is.
S130, determining a quality evaluation result of the engineering vehicle according to the average non-fault working hours and the stability of the non-fault working hours in the target time period.
Optionally, when the condition that the engineering vehicle has quality problems is determined to be met according to the average non-fault working hours and the stability of the non-fault working hours in the target time period, generating fault checking prompt information according to the vehicle number and sending the fault checking prompt information to a background manager, wherein the stability score of the engineering vehicle in the target time period is larger than a first value, and the number of days, in the target time period, of which the average non-fault working hours is larger than a second value reaches a preset target number of days.
Alternatively, the first value and the second value may be values preset by the user.
Optionally, when the stability score of the engineering vehicle in the target time period is greater than the first value, it may represent that the stability of the engineering vehicle in the fault-free working hours is lower, that is, the fault state of the vehicle is unstable, and when the number of days that the average fault-free working hours in the target time period is greater than the second value reaches the preset target number of days, it may represent that the engineering vehicle has more faults in multiple days.
Optionally, the fault checking prompt information may include a vehicle number, and may further include information about a part to be checked of the vehicle.
Alternatively, the fault code of the fault information may correspond to a fault type, and may also correspond to a fault part, for example, when it is determined that the fault type is an engine start failure according to the fault code, it is determined that the vehicle part corresponding to the fault is the engine.
Optionally, after determining that the engineering vehicle has a quality problem, according to the fault information of each fault in the target time period, the number of faults of each part may be counted, and the target part with the number of faults being greater than the third value may be determined, and the part information of the target part may be added to the fault inspection prompt information.
The device has the advantages that quality inspection personnel can be quickly assisted in determining the fault parts of the vehicle, and the fault detection and vehicle maintenance efficiency is improved.
According to the technical scheme of the embodiment of the invention, the average non-fault working hour per day in the target time period is calculated according to the fault information uploaded by the engineering vehicle and the fault grade coefficient preset for each type of fault, the stability of the non-fault working hour in the target time period is determined according to the average non-fault working hour per day in the target time period, and the quality assessment result of the engineering vehicle is determined according to the average non-fault working hour per day and the stability of the non-fault working hour in the target time period, so that the severity of each fault can be combined, the average non-fault working hour of the engineering vehicle can be calculated reasonably, the calculation result is more fit with the actual condition of the vehicle, the actual fault state of the vehicle can be reflected, the vehicle with the quality problem and really needing maintenance can be prompted, the fault vehicle can be maintained in time, and the use safety of the vehicle is ensured.
Example two
Fig. 2 is a flowchart of a quality evaluation method for an engineering vehicle according to a second embodiment of the present invention, where the quality evaluation method for an engineering vehicle is specifically described based on the foregoing embodiment. As shown in fig. 2, the method includes:
s210, determining the number of faults per day and the fault type of each fault in the target time period according to the fault codes and the fault time in the fault information.
Alternatively, the number of faults per day may refer to the number of faults corresponding to each fault type per day.
S220, calculating average fault-free working hours per day in the target time period according to the number of faults per day in the target time period, the fault type of each fault and the fault grade coefficient.
Optionally, calculating the average non-fault man-hour of each day in the target time period according to the number of faults in each day in the target time period, the fault type of each fault and the fault grade coefficient may include:
the average mean fault-free man-hour per day is calculated according to the following formula:
;
Wherein t is the single day calculation time, ki is the fault grade coefficient corresponding to the fault grade i, and mi is the number of times the fault grade i occurs on the same day.
S230, calculating the average value of the fault-free man-hour in the target time period according to the average fault-free man-hour in the target time period.
S240, calculating the variance of the non-fault working hours in the target time period according to the average value of the non-fault working hours in the target time period, and determining the stability of the non-fault working hours in the target time period according to the variance of the non-fault working hours.
Optionally, calculating the variance of the non-fault man-hour in the target time period according to the mean value of the non-fault man-hour in the target time period, and determining the stability of the non-fault man-hour in the target time period according to the variance of the non-fault man-hour, including:
The variance of the fault-free man-hour in the target period is calculated according to the following formula:
;
Wherein, As the variance of the fault-free man-hour within the target period,For the mean value of the fault-free man-hours in the target time period, the MTBF1 to MTBFn are respectively the single-day mean fault-free man-hours per day;
and determining the stability score of the engineering vehicle in the target time period according to the fault-free man-hour variance.
S250, determining that the engineering vehicle has quality problems when the condition that the stability score of the engineering vehicle in the target time period is larger than a first value and the number of days of the average non-fault working hours in the target time period is larger than a second value reaches a preset target number of days is met according to the average non-fault working hours and the stability of the non-fault working hours in the target time period.
In another alternative embodiment, the quality score of the engineering vehicle may be generated according to the variance of the fault-free man-hour and the average fault-free man-hour in the target time period, and when the quality score is smaller than the preset target score value, it is determined that the engineering vehicle has a quality problem, and the quality problem is fed back to the quality management department of the vehicle, so that the quality management personnel can perform maintenance detection.
In another alternative embodiment, after determining the fault condition of the parts of each engineering vehicle in the target time period, the number of faults of each part in the engineering vehicle of the same model may be counted, and when it is determined that the number of faults of a certain part is greater than the preset target number of faults, it is determined that the engineering vehicle of the model needs to uniformly replace or inspect the part.
According to the technical scheme of the embodiment of the invention, the average non-fault working hour per day in the target time period is calculated according to the fault information uploaded by the engineering vehicle and the fault grade coefficient preset for each type of fault, the stability of the non-fault working hour in the target time period is determined according to the average non-fault working hour per day in the target time period, and the quality assessment result of the engineering vehicle is determined according to the average non-fault working hour per day and the stability of the non-fault working hour in the target time period, so that the severity of each fault can be combined, the average non-fault working hour of the engineering vehicle can be calculated reasonably, the calculation result is more fit with the actual condition of the vehicle, the actual fault state of the vehicle can be reflected, the vehicle with the quality problem and really needing maintenance can be prompted, the fault vehicle can be maintained in time, and the use safety of the vehicle is ensured.
Example III
Fig. 3 is a schematic structural diagram of a quality assessment device for an engineering vehicle according to a third embodiment of the present invention. As shown in fig. 3, the apparatus includes a daily average non-faulty man-hour calculation module 310, a non-faulty man-hour stability calculation module 320, and a quality assessment module 330.
The daily average fault-free man-hour calculating module 310 is configured to calculate daily average fault-free man-hours in a target period according to fault information uploaded by the engineering vehicle and fault level coefficients preset for each type of fault.
The non-fault man-hour stability calculation module 320 is configured to determine the stability of the non-fault man-hour in the target period according to the average non-fault man-hour per day in the target period.
The quality evaluation module 330 is configured to determine a quality evaluation result of the engineering vehicle according to the average non-faulty man-hour per day and the stability of the non-faulty man-hour in the target period.
According to the technical scheme of the embodiment of the invention, the average non-fault working hour per day in the target time period is calculated according to the fault information uploaded by the engineering vehicle and the fault grade coefficient preset for each type of fault, the stability of the non-fault working hour in the target time period is determined according to the average non-fault working hour per day in the target time period, and the quality assessment result of the engineering vehicle is determined according to the average non-fault working hour per day and the stability of the non-fault working hour in the target time period, so that the severity of each fault can be combined, the average non-fault working hour of the engineering vehicle can be calculated reasonably, the calculation result is more fit with the actual condition of the vehicle, the actual fault state of the vehicle can be reflected, the vehicle with the quality problem and really needing maintenance can be prompted, the fault vehicle can be maintained in time, and the use safety of the vehicle is ensured.
On the basis of the above embodiments, the fault information includes a vehicle number, a fault code, and a fault time.
Based on the above embodiments, the daily average trouble-free man-hour calculation module 310 may include:
the fault information analysis unit is used for determining the number of times of faults and the fault type of each fault in a target time period according to the fault code and the fault time in the fault information;
and the daily average value calculation unit is used for calculating the daily average fault-free working hours in the target time period according to the number of times of faults in the target time period, the fault type of each fault and the fault grade coefficient.
On the basis of the above embodiments, the daily average calculation unit may be specifically configured to:
the average mean fault-free man-hour per day is calculated according to the following formula:
;
Wherein t is the single day calculation time, ki is the fault grade coefficient corresponding to the fault grade i, and mi is the number of times the fault grade i occurs on the same day.
Based on the above embodiments, the fault-free man-hour stability calculation module 320 may include:
an average value calculation unit in the time period, which is used for calculating the average value of the fault-free working hours in the target time period according to the average fault-free working hours in the target time period every day;
and the variance calculation unit is used for calculating the variance of the non-fault working hours in the target time period according to the average value of the non-fault working hours in the target time period and determining the stability of the non-fault working hours in the target time period according to the variance of the non-fault working hours.
On the basis of the above embodiments, the variance calculating unit may be specifically configured to:
The variance of the fault-free man-hour in the target period is calculated according to the following formula:
;
Wherein, As the variance of the fault-free man-hour within the target period,For the mean value of the fault-free man-hours in the target time period, the MTBF1 to MTBFn are respectively the single-day mean fault-free man-hours per day;
and determining the stability score of the engineering vehicle in the target time period according to the fault-free man-hour variance.
Based on the above embodiments, the quality evaluation module 330 may be specifically configured to:
When the condition that any one of the following conditions is met is determined according to the average fault-free working hours and the stability of the fault-free working hours in the target time period, the quality problem of the engineering vehicle is determined, and fault checking prompt information is generated according to the vehicle number and sent to a background manager:
the stability score of the engineering vehicle in the target time period is larger than a first numerical value;
And the number of days greater than the second value in the average fault-free working hours in the target time period reaches the preset target number of days.
The quality evaluation device for the engineering vehicle provided by the embodiment of the invention can execute the quality evaluation method for the engineering vehicle provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
Example IV
Fig. 4 shows a schematic diagram of the structure of an electronic device 10 that may be used to implement an embodiment of the invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. Electronic equipment may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 4, the electronic device 10 includes at least one processor 11, and a memory, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, etc., communicatively connected to the at least one processor 11, in which the memory stores a computer program executable by the at least one processor, and the processor 11 may perform various appropriate actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from the storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 may also be stored. The processor 11, the ROM 12 and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.
Various components in the electronic device 10 are connected to the I/O interface 15, including an input unit 16, such as a keyboard, mouse, etc., an output unit 17, such as various types of displays, speakers, etc., a storage unit 18, such as a magnetic disk, optical disk, etc., and a communication unit 19, such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.
The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 11 performs the various methods and processes described above, such as the quality assessment method of the work vehicle as described in the embodiments of the present invention. Namely:
According to the fault information uploaded by the engineering vehicle and the fault grade coefficients preset for each type of fault, calculating average fault-free working hours per day in a target time period respectively;
According to the average non-fault working hours in the target time period, determining the stability of the non-fault working hours in the target time period;
And determining a quality evaluation result of the engineering vehicle according to the average fault-free man-hour and the stability of the fault-free man-hour in the target time period.
In some embodiments, the quality assessment method of the work vehicle may be implemented as a computer program tangibly embodied on a computer-readable storage medium, such as the storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the above-described quality evaluation method of the engineering vehicle may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the quality assessment method of the work vehicle in any other suitable way (e.g., by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include being implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be a special or general purpose programmable processor, operable to receive data and instructions from, and to transmit data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for carrying out methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user and a keyboard and a pointing device (e.g., a mouse or a trackball) by which the user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user, for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback), and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a Local Area Network (LAN), a Wide Area Network (WAN), a blockchain network, and the Internet.
The computing system may include clients and servers. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present invention may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution of the present invention are achieved, and the present invention is not limited herein.
The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.
Claims (10)
1. A quality assessment method of an engineering vehicle, characterized by comprising:
According to the fault information uploaded by the engineering vehicle and the fault grade coefficients preset for each type of fault, calculating average fault-free working hours per day in a target time period respectively;
According to the average non-fault working hours in the target time period, determining the stability of the non-fault working hours in the target time period;
And determining a quality evaluation result of the engineering vehicle according to the average fault-free man-hour and the stability of the fault-free man-hour in the target time period.
2. The method of claim 1, wherein the fault information includes a vehicle number, a fault code, and a fault time.
3. The method according to claim 2, wherein calculating the average non-faulty man-hours per day in the target period of time, respectively, based on the fault information uploaded by the engineering vehicle and the fault level coefficients preset for each type of fault, comprises:
according to the fault code and the fault time in the fault information, determining the number of times of daily faults and the fault type of each fault in a target time period;
and calculating the average fault-free working hour per day in the target time period according to the number of faults per day in the target time period, the fault type of each fault and the fault grade coefficient.
4. A method according to claim 3, wherein calculating an average number of non-faulty man-hours per day for the target period based on the number of faults per day for the target period, the fault type of each fault and the fault class coefficient, comprises:
the average mean fault-free man-hour per day is calculated according to the following formula:
;
Wherein t is the single day calculation time, ki is the fault grade coefficient corresponding to the fault grade i, and mi is the number of times the fault grade i occurs on the same day.
5. The method of claim 2, wherein determining the stability of the non-faulty man-hours in the target time period based on the average non-faulty man-hours per day in the target time period comprises:
Calculating the average value of the fault-free man-hour in the target time period according to the average fault-free man-hour in the target time period;
And calculating the variance of the non-fault working hours in the target time period according to the average value of the non-fault working hours in the target time period, and determining the stability of the non-fault working hours in the target time period according to the variance of the non-fault working hours.
6. The method of claim 5, wherein calculating a non-faulty man-hour variance over the target time period from the mean value of non-faulty man-hours over the target time period, and determining stability of the non-faulty man-hours over the target time period from the non-faulty man-hour variance, comprises:
The variance of the fault-free man-hour in the target period is calculated according to the following formula:
;
Wherein, As the variance of the fault-free man-hour within the target period,For the mean value of the fault-free man-hours in the target time period, the MTBF1 to MTBFn are respectively the single-day mean fault-free man-hours per day;
and determining the stability score of the engineering vehicle in the target time period according to the fault-free man-hour variance.
7. The method of claim 6, wherein determining the quality assessment result of the engineering vehicle based on the average non-faulty man-hour per day and the stability of the non-faulty man-hour within the target period of time comprises:
When the condition that any one of the following conditions is met is determined according to the average fault-free working hours and the stability of the fault-free working hours in the target time period, the quality problem of the engineering vehicle is determined, and fault checking prompt information is generated according to the vehicle number and sent to a background manager:
the stability score of the engineering vehicle in the target time period is larger than a first numerical value;
And the number of days greater than the second value in the average fault-free working hours in the target time period reaches the preset target number of days.
8. A quality evaluation device of an engineering vehicle, characterized by comprising:
The daily average fault-free man-hour calculation module is used for calculating daily average fault-free man-hours in a target time period according to fault information uploaded by the engineering vehicle and fault grade coefficients preset for each type of faults;
the non-fault working hour stability calculation module is used for determining the stability of the non-fault working hour in the target time period according to the average non-fault working hour in the target time period every day;
And the quality evaluation module is used for determining the quality evaluation result of the engineering vehicle according to the average non-fault working hours and the stability of the non-fault working hours in the target time period.
9. An electronic device, the electronic device comprising:
At least one processor;
and a memory communicatively coupled to the at least one processor, wherein,
The memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the quality assessment method of the work vehicle of any one of claims 1-7.
10. A computer readable storage medium, characterized in that the computer readable storage medium stores computer instructions for causing a processor to implement the quality assessment method of an engineering vehicle according to any one of claims 1-7 when executed.
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