Engineering vehicle quality evaluation method, device, equipment and medium

Abstract

The invention discloses a quality evaluation method, device and equipment of an engineering vehicle and a medium. The method comprises the following steps: according to fault information uploaded by an engineering vehicle and fault grade coefficients preset for various types of faults, calculating daily average fault-free working hours in a target time period; determining the stability of the fault-free working hours in the target time period according to the daily average fault-free working hours in the target time period; and determining a quality evaluation result of the engineering vehicle according to the daily average fault-free working hours in the target time period and the stability of the fault-free working hours. By adopting the technical scheme, 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 evaluation in the prior art can be solved, and the working safety of the engineering vehicle is effectively ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of vehicle quality detection, and in particular to a quality assessment method, device, equipment and medium for an engineering vehicle. Background Art

[0002] In the construction machinery industry, the average trouble-free time of construction machinery vehicles is often calculated. The calculation result of the average trouble-free time directly reflects the quality level of the construction machinery vehicles. The longer the average trouble-free time, the longer the average working time of the vehicle between two failures, that is, the lower the frequency of vehicle failures during normal use, thus reflecting the high quality and reliability of the product.

[0003] In the traditional mean trouble-free time measurement scheme, the average value is simply calculated based on the number of failures and working hours, without distinguishing the severity of the reported failures of the vehicle. This may cause engineering vehicles with frequent minor failures to generate quality alarms, but engineering vehicles with several major failures continue to work. The evaluation results obtained in the traditional way may have a large error with the actual vehicle condition, affecting the judgment of technicians and failing to detect quality problems of engineering vehicles in a timely manner. Summary of the invention

[0004] The present invention provides a method, device, equipment and medium for evaluating the quality of engineering vehicles. The calculated average trouble-free working time can accurately reflect the actual fault conditions of the vehicle, thereby solving the problem of inaccurate vehicle quality evaluation in the prior art and effectively ensuring the working safety of engineering vehicles.

[0005] According to one aspect of the present invention, there is provided a method for evaluating the quality of an engineering vehicle, comprising:

[0006] According to the fault information uploaded by the engineering vehicles and the fault level coefficients preset for each type of fault, the average daily trouble-free working hours within the target time period are calculated;

[0007] Determine the stability of trouble-free working hours within the target time period based on the daily average trouble-free working hours within the target time period;

[0008] The quality assessment results of engineering vehicles are determined based on the daily average trouble-free hours and the stability of trouble-free hours during the target time period.

[0009] Optionally, the fault information includes vehicle number, fault code and fault time.

[0010] Optionally, the average daily trouble-free working hours in the target time period are calculated based on the fault information uploaded by the engineering vehicle and the fault level coefficients preset for each type of fault, including:

[0011] Determine the number of daily faults and the type of each fault within a target time period according to the fault code and fault time in the fault information;

[0012] The average trouble-free working hours per day in the target time period are calculated based on the number of daily failures in the target time period, the failure type of each failure, and the failure level coefficient.

[0013] Optionally, the average daily trouble-free working hours within the target time period are calculated according to the number of daily troubles within the target time period, the type of each trouble and the trouble level coefficient, including:

[0014] The average trouble-free working hours per day is calculated according to the following formula:

[0015] ;

[0016] Where t is the calculation time of a single day, ki is the fault level coefficient corresponding to fault level i, and mi is the number of times fault level i occurs on that day.

[0017] Optionally, the stability of the trouble-free working hours during the target time period is determined based on the daily average trouble-free working hours during the target time period, including:

[0018] Calculate the average trouble-free working hours within the target time period based on the daily average trouble-free working hours within the target time period;

[0019] The variance of the trouble-free working hours in the target time period is calculated according to the average value of the trouble-free working hours in the target time period, and the stability of the trouble-free working hours in the target time period is determined according to the variance of the trouble-free working hours.

[0020] Optionally, calculating the variance of the trouble-free working hours in the target time period according to the average value of the trouble-free working hours in the target time period, and determining the stability of the trouble-free working hours in the target time period according to the trouble-free working hours variance, includes:

[0021] The variance of trouble-free working hours within the target time period is calculated according to the following formula:

[0022] ;

[0023] in, is the variance of trouble-free working hours in the target time period, is the average trouble-free working hours in the target time period, and MTBF1 to MTBFn are the daily average trouble-free working hours;

[0024] A stability score of the engineering vehicle within a target time period is determined according to the trouble-free working time variance.

[0025] Optionally, the quality assessment results of the engineering vehicles are determined based on the daily average trouble-free working hours and the stability of trouble-free working hours during the target time period, including:

[0026] When any of the following conditions are met based on the daily average trouble-free working hours and the stability of trouble-free working hours during the target time period, it is determined that the engineering vehicle has a quality problem, and a fault inspection prompt message is generated based on the vehicle number and sent to the backend administrator:

[0027] The stability score of the engineering vehicle during the target time period is greater than a first value;

[0028] And, the number of days during the target time period when the average trouble-free working time is greater than the second value reaches a preset target number of days.

[0029] According to another aspect of the present invention, there is provided a quality assessment device for an engineering vehicle, comprising:

[0030] The daily average trouble-free working hours calculation module is used to calculate the daily average trouble-free working hours within the target time period according to the fault information uploaded by the engineering vehicle and the fault level coefficients preset for each type of fault;

[0031] A trouble-free working time stability calculation module is used to determine the stability of trouble-free working time within the target time period based on the average trouble-free working time per day within the target time period;

[0032] The quality assessment module is used to determine the quality assessment results of the engineering vehicles according to the daily average trouble-free working hours and the stability of the trouble-free working hours within the target time period.

[0033] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0034] at least one processor;

[0035] and, a memory communicatively connected to the at least one processor; wherein,

[0036] The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the quality assessment method for an engineering vehicle described in any embodiment of the present invention.

[0037] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the quality assessment method for an engineering vehicle described in any embodiment of the present invention when executed.

[0038] The technical solution of the embodiment of the present invention calculates the average trouble-free working hours per day in the target time period according to the fault information uploaded by the engineering vehicles and the fault level coefficients pre-set for each type of fault, determines the stability of the trouble-free working hours in the target time period according to the average trouble-free working hours per day in the target time period, and determines the quality assessment results of the engineering vehicles according to the average trouble-free working hours per day in the target time period and the stability of the trouble-free working hours. This can reasonably calculate the average trouble-free working hours of the engineering vehicles in combination with the severity of each fault, so that the calculation result is more in line with the actual situation of the vehicle and can better reflect the actual fault status of the vehicle, and can further prompt vehicles with quality problems that really need repair and maintenance, to ensure that the faulty vehicles can be repaired in time, thereby ensuring the safety of vehicle use.

[0039] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0041] Figure 1 is a flow chart of a method for evaluating the quality of an engineering vehicle provided according to Embodiment 1 of the present invention;

[0042] Figure 2 is a flow chart of another method for quality assessment of engineering vehicles provided according to the second embodiment of the present invention;

[0043] Figure 3 is a schematic structural diagram of a quality assessment device for an engineering vehicle provided according to a third embodiment of the present invention;

[0044] Figure 4 It is a schematic diagram of the structure of an electronic device for implementing the quality assessment method of an engineering vehicle according to an embodiment of the present invention. DETAILED DESCRIPTION

[0045] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0046] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0047] Embodiment 1

[0048] Figure 1 This is a flow chart of a method for evaluating the quality of an engineering vehicle provided in the first embodiment of the present invention. This embodiment can be applied to reasonably calculating the average trouble-free working time of a vehicle and then monitoring the quality of the vehicle. The method can be executed by a quality evaluation device for an engineering vehicle. The quality evaluation device for an engineering vehicle can be implemented in the form of hardware and / or software and can generally be configured in a background monitoring platform for engineering vehicles. Figure 1 As shown, the method includes:

[0049] S110, calculating the average trouble-free working hours per day in the target time period according to the fault information uploaded by the engineering vehicle and the fault level coefficients preset for each type of fault.

[0050] Optionally, the fault information includes vehicle number, fault code and fault time.

[0051] Optionally, the vehicle number can be used to identify the vehicle that caused the fault. Each engineering vehicle has a unique vehicle number. The fault code can be used to identify the type of fault, and the fault code can also be used to identify the problematic parts that caused the fault. The fault time can be used to identify the time when the fault occurred. The fault time can be in natural days, hours or minutes.

[0052] Optionally, the engineering vehicle backend supervision platform can obtain fault information of multiple engineering vehicles at the same time, and determine the fault information that matches each engineering vehicle based on the vehicle number in each fault information. When determining the quality assessment result for the target vehicle, calculations are performed based on the fault information that matches the target vehicle.

[0053] Optionally, the technical solution described in the present invention is not limited to quality assessment of engineering vehicles, but can also be used for quality assessment of vehicles such as automobiles, ships, and airplanes.

[0054] It is understandable that there are many types of faults that may occur in engineering vehicles, and the severity of different faults is also different. For example, faults such as wiper short circuits have less impact on vehicle safety, while faults such as engine start failures are serious blocking faults. If vehicle A has 5 low-severity faults such as wiper short circuits in one day, and vehicle B has 2 serious blocking faults, if calculated by conventional methods, it may be considered that vehicle A has a shorter average trouble-free time, and thus it is determined that vehicle A has quality problems. However, the problem of vehicle B is actually more serious.

[0055] Therefore, based on the above problems, the inventors of the present application have proposed a method of grading faults and setting different fault grade coefficients for faults of different grades, so as to improve the calculation accuracy of the mean trouble-free working time.

[0056] Optionally, for a fault of a lower level, the matching fault coefficient may be set to a smaller value, and for a fault of a higher level, the matching fault coefficient may be set to a larger value.

[0057] In a specific implementation, five fault levels may be set, for example, levels 1-5. For levels 1-5, the matching fault level coefficients may be 0.1, 0.2, 1, 1.5 and 2 respectively.

[0058] Optionally, you can use the formula Calculate the mean time between failures (MTBF), where a is the number of fault levels, t is the time in a single calculation cycle, ki is the fault level coefficient corresponding to fault level i, and mi is the number of times fault level i occurs in a single calculation cycle.

[0059] Optionally, a single calculation cycle can be one natural day, multiple natural days, the continuous working time of the engineering vehicle, etc. For example, if the average trouble-free working hours per day is calculated, t can be 24. If the average trouble-free working hours of the vehicle within 16 hours of continuous work are calculated, t can be 16. The above is only an example and is not limited to this.

[0060] Optionally, the number a of fault levels may be determined according to the fault levels preset by the user. For example, when the user divides the faults into 5 different levels, a may be 5, but the number of fault levels is not limited.

[0061] In a specific implementation, taking 5 fault levels as an example, MTBF = t / (k1×m1 + k2×m2 + k3×m3 + k4×m4 + k5×m5 + 1); wherein k1-k5 are respectively the fault level coefficients corresponding to the 5 fault levels, and m1-m5 are respectively the number of failures of each fault level in a single calculation cycle.

[0062] Optionally, the target time period may be a time period during which the user needs to monitor the quality of the vehicle, may be a specified time period, such as 1 week, or may be a time period from the last maintenance to the current time.

[0063] S120. Determine the stability of the trouble-free working hours within the target time period according to the daily average trouble-free working hours within the target time period.

[0064] Optionally, after calculating the average trouble-free working time in the target time period, the variance of the trouble-free working time in the target time period may be calculated, and the variance is used to represent the stability of the trouble-free working time of the vehicle in the target time period.

[0065] Optionally, you can use the formula: , calculate the average trouble-free working hours within the target time period, where n represents the number of times the average trouble-free working hours within the target time period are calculated. For example, if the target time period is 7 days, and the average trouble-free working hours are calculated in natural days, then the single-day average trouble-free working hours are calculated 7 times within 7 days. In this case, n can be 7.

[0066] Optionally, after calculating the average value of trouble-free working hours in the target time period, further calculate the variance of trouble-free working hours in the target time period:

[0067] ;

[0068] in, is the variance of trouble-free working hours in the target time period, is the average trouble-free working hours in the target time period, MTBF1 to MTBFn are the daily average trouble-free working hours, and n is the number of days in the target time period.

[0069] Optional, It can be used as a stability score for engineering vehicles to characterize the stability of trouble-free working hours. The larger the value, the worse the stability of the engineering vehicle's trouble-free working hours within the target time period. The smaller it is, the more stable the trouble-free working hours of the engineering vehicle within the target time period.

[0070] S130. Determine a quality assessment result of the engineering vehicle according to the daily average trouble-free working hours and the stability of the trouble-free working hours within the target time period.

[0071] Optionally, when any of the following conditions is determined to be met based on the daily average trouble-free working hours and the stability of the trouble-free working hours during the target time period, it is determined that the construction vehicle has quality problems, and a fault inspection prompt message is generated based on the vehicle number and sent to the backend administrator: the stability score of the construction vehicle during the target time period is greater than a first value; and the number of days during which the average trouble-free working hours during the target time period is greater than a second value reaches a preset target number of days.

[0072] Optionally, the first value and the second value may be values ​​preset by the user.

[0073] Optionally, when the stability score of the engineering vehicle within the target time period is greater than a first value, it may represent that the stability of the trouble-free working hours of the engineering vehicle is low, that is, the fault state of the vehicle is unstable; when the number of days when the average trouble-free working hours within the target time period is greater than the second value reaches a preset target number of days, it may represent that the engineering vehicle has more faults within multiple days.

[0074] Optionally, the fault inspection prompt information may include the vehicle number and may also include information on vehicle parts to be inspected.

[0075] Optionally, the fault code of the fault information may correspond to the fault type and may also correspond to the faulty part. For example, when the fault type is determined to be engine start failure based on the fault code, the vehicle part corresponding to the fault is determined to be the engine.

[0076] Optionally, after determining that the engineering vehicle has quality problems, the number of failures of each part can be counted based on the fault information of each fault within the target time period, and the target part whose number of failures is greater than a third value can be determined, and the part information of the target part can also be added to the fault inspection prompt information.

[0077] The advantage of this setting is that it can quickly help quality inspectors identify faulty parts of the vehicle and improve the efficiency of fault detection and vehicle maintenance.

[0078] The technical solution of the embodiment of the present invention calculates the average trouble-free working hours per day in the target time period according to the fault information uploaded by the engineering vehicles and the fault level coefficients pre-set for each type of fault, determines the stability of the trouble-free working hours in the target time period according to the average trouble-free working hours per day in the target time period, and determines the quality assessment results of the engineering vehicles according to the average trouble-free working hours per day in the target time period and the stability of the trouble-free working hours. This can reasonably calculate the average trouble-free working hours of the engineering vehicles in combination with the severity of each fault, so that the calculation result is more in line with the actual situation of the vehicle and can better reflect the actual fault status of the vehicle, and can further prompt vehicles with quality problems that really need repair and maintenance, to ensure that the faulty vehicles can be repaired in time, thereby ensuring the safety of vehicle use.

[0079] Embodiment 2

[0080] Figure 2 This is a flow chart of a method for evaluating the quality of an engineering vehicle provided in the second embodiment of the present invention. This embodiment specifically describes the method for evaluating the quality of an engineering vehicle based on the above embodiment. Figure 2 As shown, the method includes:

[0081] S210: Determine the number of daily faults and the type of each fault within a target time period according to the fault code and fault time in the fault information.

[0082] Optionally, the number of failures per day may refer to the number of failures corresponding to each failure type per day.

[0083] S220. Calculate the average daily trouble-free working hours within the target time period according to the number of daily troubles within the target time period, the type of each trouble and the trouble level coefficient.

[0084] Optionally, calculating the average daily trouble-free working hours within the target time period according to the number of daily troubles within the target time period, the type of each trouble, and the trouble level coefficient may include:

[0085] The average trouble-free working hours per day is calculated according to the following formula:

[0086] ;

[0087] Where t is the calculation time of a single day, ki is the fault level coefficient corresponding to fault level i, and mi is the number of times fault level i occurs on that day.

[0088] S230. Calculate the average trouble-free working hours in the target time period according to the daily average trouble-free working hours in the target time period.

[0089] S240, calculating the variance of the trouble-free working hours in the target time period according to the average value of the trouble-free working hours in the target time period, and determining the stability of the trouble-free working hours in the target time period according to the variance of the trouble-free working hours.

[0090] Optionally, calculating the variance of the trouble-free working hours in the target time period according to the average value of the trouble-free working hours in the target time period, and determining the stability of the trouble-free working hours in the target time period according to the trouble-free working hours variance, includes:

[0091] The variance of trouble-free working hours within the target time period is calculated according to the following formula:

[0092] ;

[0093] in, is the variance of trouble-free working hours in the target time period, is the average trouble-free working hours in the target time period, and MTBF1 to MTBFn are the daily average trouble-free working hours;

[0094] A stability score of the engineering vehicle within a target time period is determined according to the trouble-free working time variance.

[0095] S250. When any of the following conditions is met based on the daily average trouble-free working hours and the stability of the trouble-free working hours during the target time period, it is determined that the engineering vehicle has a quality problem, and a fault inspection prompt message is generated according to the vehicle number and sent to the backend administrator: the stability score of the engineering vehicle during the target time period is greater than a first value; and the number of days during which the average trouble-free working hours during the target time period is greater than a second value reaches a preset target number of days.

[0096] In another optional embodiment, a quality score for the engineering vehicle can be generated based on the variance of the trouble-free working hours and the average trouble-free working hours within the target time period, and when the quality score is less than a preset target score value, it is determined that the engineering vehicle has quality problems and the problem is fed back to the vehicle's quality management department for quality management personnel to conduct maintenance and inspection.

[0097] In another optional embodiment, after determining the parts failure conditions of each engineering vehicle within the target time period, the number of failures of each part in the same model of engineering vehicles can be counted, and when it is determined that the number of failures of a certain part is greater than a preset target number of failures, it is determined that the engineering vehicles of this model need to uniformly replace or inspect the part.

[0098] The technical solution of the embodiment of the present invention calculates the average trouble-free working hours per day in the target time period according to the fault information uploaded by the engineering vehicles and the fault level coefficients pre-set for each type of fault, determines the stability of the trouble-free working hours in the target time period according to the average trouble-free working hours per day in the target time period, and determines the quality assessment results of the engineering vehicles according to the average trouble-free working hours per day in the target time period and the stability of the trouble-free working hours. This can reasonably calculate the average trouble-free working hours of the engineering vehicles in combination with the severity of each fault, so that the calculation result is more in line with the actual situation of the vehicle and can better reflect the actual fault status of the vehicle, and can further prompt vehicles with quality problems that really need repair and maintenance, to ensure that the faulty vehicles can be repaired in time, thereby ensuring the safety of vehicle use.

[0099] Embodiment 3

[0100] Figure 3 This is a schematic diagram of the structure of a quality assessment device for an engineering vehicle provided in Embodiment 3 of the present invention. Figure 3 As shown, the device includes: a daily average trouble-free working time calculation module 310, a trouble-free working time stability calculation module 320 and a quality evaluation module 330.

[0101] The daily average trouble-free working hours calculation module 310 is used to calculate the daily average trouble-free working hours within the target time period according to the fault information uploaded by the engineering vehicle and the fault level coefficient preset for each type of fault.

[0102] The trouble-free working time stability calculation module 320 is used to determine the stability of the trouble-free working time within the target time period according to the average trouble-free working time per day within the target time period.

[0103] The quality assessment module 330 is used to determine the quality assessment result of the engineering vehicle according to the average trouble-free working hours per day and the stability of the trouble-free working hours within the target time period.

[0104] The technical solution of the embodiment of the present invention calculates the average trouble-free working hours per day in the target time period according to the fault information uploaded by the engineering vehicles and the fault level coefficients pre-set for each type of fault, determines the stability of the trouble-free working hours in the target time period according to the average trouble-free working hours per day in the target time period, and determines the quality assessment results of the engineering vehicles according to the average trouble-free working hours per day in the target time period and the stability of the trouble-free working hours. This can reasonably calculate the average trouble-free working hours of the engineering vehicles in combination with the severity of each fault, so that the calculation result is more in line with the actual situation of the vehicle and can better reflect the actual fault status of the vehicle, and can further prompt vehicles with quality problems that really need repair and maintenance, to ensure that the faulty vehicles can be repaired in time, thereby ensuring the safety of vehicle use.

[0105] Based on the above embodiments, the fault information includes the vehicle number, fault code and fault time.

[0106] Based on the above embodiments, the daily average trouble-free working hours calculation module 310 may include:

[0107] A fault information analysis unit, used to determine the number of faults per day and the type of each fault within a target time period according to the fault code and fault time in the fault information;

[0108] The daily average value calculation unit is used to calculate the daily average trouble-free working hours within the target time period according to the number of daily faults within the target time period, the fault type of each fault and the fault level coefficient.

[0109] Based on the above embodiments, the daily average value calculation unit can be specifically used for:

[0110] The average trouble-free working hours per day is calculated according to the following formula:

[0111] ;

[0112] Where t is the calculation time of a single day, ki is the fault level coefficient corresponding to fault level i, and mi is the number of times fault level i occurs on that day.

[0113] Based on the above embodiments, the failure-free working time stability calculation module 320 may include:

[0114] The average value calculation unit within the time period is used to calculate the average value of the trouble-free working hours within the target time period according to the average trouble-free working hours per day within the target time period;

[0115] The variance calculation unit is used to calculate the variance of the trouble-free working hours in the target time period according to the average value of the trouble-free working hours in the target time period, and determine the stability of the trouble-free working hours in the target time period according to the variance of the trouble-free working hours.

[0116] Based on the above embodiments, the variance calculation unit can be specifically used for:

[0117] The variance of trouble-free working hours within the target time period is calculated according to the following formula:

[0118] ;

[0119] in, is the variance of trouble-free working hours in the target time period, is the average trouble-free working hours in the target time period, and MTBF1 to MTBFn are the daily average trouble-free working hours;

[0120] A stability score of the engineering vehicle within a target time period is determined according to the trouble-free working time variance.

[0121] Based on the above embodiments, the quality assessment module 330 can be specifically used for:

[0122] When any of the following conditions are met based on the daily average trouble-free working hours and the stability of trouble-free working hours during the target time period, it is determined that the engineering vehicle has a quality problem, and a fault inspection prompt message is generated based on the vehicle number and sent to the backend administrator:

[0123] The stability score of the engineering vehicle during the target time period is greater than a first value;

[0124] And, the number of days during the target time period when the average trouble-free working time is greater than the second value reaches a preset target number of days.

[0125] The quality assessment device for an engineering vehicle provided in an embodiment of the present invention can execute the quality assessment method for an engineering vehicle provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0126] Embodiment 4

[0127] Figure 4 A schematic diagram of the structure of an electronic device 10 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0128] like Figure 4As shown, the electronic device 10 includes at least one processor 11, and a memory connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 11 can 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 to the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. The input / output (I / O) interface 15 is also connected to the bus 14.

[0129] A number of components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0130] The processor 11 may be any general and / or dedicated processing component with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as the quality assessment method for an engineering vehicle as described in an embodiment of the present invention. That is:

[0131] According to the fault information uploaded by the engineering vehicles and the fault level coefficients preset for each type of fault, the average daily trouble-free working hours within the target time period are calculated;

[0132] Determine the stability of trouble-free working hours within the target time period based on the daily average trouble-free working hours within the target time period;

[0133] The quality assessment results of engineering vehicles are determined based on the daily average trouble-free hours and the stability of trouble-free hours during the target time period.

[0134] In some embodiments, the quality assessment method for an engineering vehicle may be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on 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 quality assessment method for an engineering vehicle described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to execute the quality assessment method for an engineering vehicle in any other appropriate manner (e.g., by means of firmware).

[0135] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0136] Computer programs for implementing the 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, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0137] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, device, or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, 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 disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0138] To provide interaction with a user, the systems and techniques described herein may 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 trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the 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, voice input, or tactile input).

[0139] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may 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.

[0140] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0141] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0142] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for evaluating the quality of an engineering vehicle, characterized in that: include: According to the fault information uploaded by the engineering vehicles and the fault level coefficients preset for each type of fault, the average daily trouble-free working hours within the target time period are calculated; Determine the stability of trouble-free working hours within the target time period based on the daily average trouble-free working hours within the target time period; The quality assessment results of engineering vehicles are determined based on the daily average trouble-free hours and the stability of trouble-free hours during the target time period.

2. The method according to claim 1, characterized in that The fault information includes vehicle number, fault code and fault time.

3. The method according to claim 2, characterized in that According to the fault information uploaded by the engineering vehicles and the fault level coefficients preset for each type of fault, the average daily trouble-free working hours within the target time period are calculated separately, including: Determine the number of daily faults and the type of each fault within a target time period according to the fault code and fault time in the fault information; The average trouble-free working hours per day in the target time period are calculated based on the number of daily failures in the target time period, the failure type of each failure, and the failure level coefficient.

4. The method according to claim 3, characterized in that: According to the number of daily failures in the target time period, the failure type of each failure and the failure level coefficient, the average daily trouble-free working hours in the target time period are calculated, including: The average trouble-free working hours per day is calculated according to the following formula: ； Where t is the calculation time of a single day, ki is the fault level coefficient corresponding to fault level i, and mi is the number of times fault level i occurs on that day.

5. The method according to claim 2, characterized in that: Based on the average daily trouble-free working hours during the target time period, determine the stability of trouble-free working hours during the target time period, including: Calculate the average trouble-free working hours within the target time period based on the daily average trouble-free working hours within the target time period; The variance of the trouble-free working hours in the target time period is calculated according to the average value of the trouble-free working hours in the target time period, and the stability of the trouble-free working hours in the target time period is determined according to the variance of the trouble-free working hours.

6. The method according to claim 5, characterized in that According to the average value of the trouble-free working hours in the target time period, the variance of the trouble-free working hours in the target time period is calculated, and according to the variance of the trouble-free working hours, the stability of the trouble-free working hours in the target time period is determined, including: The variance of trouble-free working hours during the target time period is calculated according to the following formula: ； in, is the variance of trouble-free working hours in the target time period, is the average trouble-free working hours in the target time period, and MTBF1 to MTBFn are the daily average trouble-free working hours; A stability score of the engineering vehicle within a target time period is determined according to the trouble-free working time variance.

7. The method according to claim 6, characterized in that Determine the quality assessment results of engineering vehicles based on the daily average trouble-free working hours and the stability of trouble-free working hours during the target time period, including: When any of the following conditions are met based on the daily average trouble-free working hours and the stability of trouble-free working hours during the target time period, it is determined that the engineering vehicle has a quality problem, and a fault inspection prompt message is generated based on the vehicle number and sent to the backend administrator: The stability score of the engineering vehicle during the target time period is greater than a first value; And, the number of days during the target time period when the average trouble-free working time is greater than the second value reaches a preset target number of days.

8. A quality assessment device for an engineering vehicle, characterized in that: include: The daily average trouble-free working hours calculation module is used to calculate the daily average trouble-free working hours within the target time period according to the fault information uploaded by the engineering vehicle and the fault level coefficients preset for each type of fault; A trouble-free working time stability calculation module is used to determine the stability of trouble-free working time within the target time period based on the daily average trouble-free working time within the target time period; The quality assessment module is used to determine the quality assessment results of the engineering vehicles according to the daily average trouble-free working hours and the stability of the trouble-free working hours within the target time period.

9. An electronic device, characterized in that: The electronic device comprises: at least one processor; and, a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the quality assessment method for an engineering vehicle according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the quality assessment method for an engineering vehicle according to any one of claims 1 to 7 when executed.

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