CN111415018A - Method, device, medium and equipment for evaluating maintenance ex-warehouse - Google Patents
Method, device, medium and equipment for evaluating maintenance ex-warehouse Download PDFInfo
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- CN111415018A CN111415018A CN202010189975.9A CN202010189975A CN111415018A CN 111415018 A CN111415018 A CN 111415018A CN 202010189975 A CN202010189975 A CN 202010189975A CN 111415018 A CN111415018 A CN 111415018A
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Abstract
The invention discloses a method, a device, a medium and equipment for evaluating maintenance ex-warehouse. The method comprises the following steps: acquiring an image of a vehicle to be taken out of a garage in at least one direction; the vehicle to be delivered out of the garage is a repaired vehicle; inputting the images of the vehicles to be taken out of the garage into a vehicle fault recognition model obtained through pre-training; and determining the evaluation result of the vehicle to be delivered according to the output result of the vehicle fault identification model so as to finish the evaluation operation of the vehicle to be delivered. By adopting the technical scheme, the single-vehicle maintenance efficiency can be improved, and the single-vehicle maintenance quality and the single-vehicle ex-warehouse qualification rate are ensured.
Description
Technical Field
The invention relates to the technical field of image recognition, in particular to a maintenance ex-warehouse evaluation method, device, medium and equipment.
Background
With the development of the internet and the gradual development of technologies, shared vehicles become an indispensable travel tool in the life of people. The shared bicycle aims at providing shared travel service for the public, and specifically can comprise a shared bicycle, a shared automobile, a shared electric moped and the like. Taking the sharing bicycle as an example, as the sharing bicycle is put into operation in a large amount, the bicycle is depreciated and damaged, and then the bicycle is increased sharply. The road surface fault treatment is carried out on the fault vehicles on the market by operation and maintenance personnel every day, and the maintenance personnel carry out maintenance so that the single vehicle can be put into use again. However, some of the failures are not repaired by road and need to be recovered to a warehouse for repair.
At present, a fault single vehicle is conveyed to a maintenance warehouse, and after the single vehicle is maintained by a maintenance worker, the single vehicle is taken out of the warehouse and put into operation again after being evaluated by warehouse management personnel. Therefore, after the vehicle is maintained, a certain amount of manpower is required to be invested to check the maintenance result, and only after the inspection is passed, the vehicle can be invested again to market operation. In the process, more human resources need to be arranged, the inspection standards of people cannot guarantee the consistency of time, the condition of missed inspection inevitably occurs, and the maintenance quality of the vehicle is difficult to guarantee. And manual inspection can also affect the efficiency of vehicle maintenance.
In order to improve the maintenance efficiency of the single vehicle and ensure the maintenance quality of the single vehicle and the qualification rate of the single vehicle leaving the warehouse. The invention designs a maintenance ex-warehouse evaluation method and system based on machine vision.
Disclosure of Invention
In view of the above defects in the prior art, the technical problem to be solved by the present invention is to take out the bicycle from the warehouse and put it into operation again after the bicycle is repaired by the warehouse manager. Therefore, after the vehicle is maintained, a certain amount of manpower is required to be invested to check the maintenance result, and only after the inspection is passed, the vehicle can be invested again to market operation. In the process, more human resources need to be arranged, the inspection standards of people cannot guarantee the consistency of time, the condition of missed inspection inevitably occurs, and the maintenance quality of the vehicle is difficult to guarantee. And manual inspection can also affect the efficiency of vehicle maintenance. The invention aims to improve the maintenance efficiency of the single vehicle and ensure the maintenance quality and the ex-warehouse qualification rate of the single vehicle.
In order to achieve the purpose, the invention provides a maintenance ex-warehouse evaluation method, a maintenance ex-warehouse evaluation device, a maintenance ex-warehouse evaluation medium and maintenance ex-warehouse evaluation equipment.
In a preferred embodiment of the present invention, the present application provides a repair ex-warehouse assessment method, including:
acquiring an image of a vehicle to be taken out of a garage in at least one direction; the vehicle to be delivered out of the garage is a repaired vehicle;
inputting the images of the vehicles to be taken out of the garage into a vehicle fault recognition model obtained through pre-training;
and determining the evaluation result of the vehicle to be delivered according to the output result of the vehicle fault identification model so as to finish the evaluation operation of the vehicle to be delivered.
Optionally, after determining the evaluation result of the vehicle to be delivered from the garage according to the output result of the vehicle fault identification model, the method further includes:
and displaying the evaluation result.
Optionally, before acquiring the image of the vehicle to be taken out of the garage in at least one direction, the method further includes:
and transmitting the vehicle to be delivered out of the garage so that the vehicle to be delivered out of the garage runs to the shooting area of the camera in at least one direction.
Optionally, the transmitting the vehicle to be delivered to enable the vehicle to be delivered to run to a shooting area of a camera in at least one direction includes:
in response to an evaluation instruction of a vehicle to be taken out of the garage, conveying the vehicle to be taken out of the garage to a shooting area;
and triggering a photographing instruction when the vehicle to be taken out of the garage reaches the photographing area.
Optionally, the vehicle fault recognition model obtained through pre-training is obtained through machine learning training by using a preset number of pictures of vehicles to be taken out of a warehouse as training samples.
Optionally, the step of acquiring an image of the vehicle to be taken out of the garage in at least one direction includes:
acquiring an image of the vehicle to be delivered from the garage in a first direction;
acquiring an image of the vehicle to be delivered out of the garage in a second direction;
and acquiring an image of the vehicle to be taken out of the garage in a third direction, wherein the first direction, the second direction and the third direction are different.
Optionally, determining an evaluation result of the vehicle to be delivered from the garage according to the output result of the vehicle fault identification model, including:
if the vehicle to be delivered is determined to be failure-free according to the output result of the vehicle failure recognition model, the vehicle to be delivered passes the evaluation;
and if the vehicle to be delivered is determined to have a fault according to the output result of the vehicle fault identification model, returning the vehicle to a vehicle maintenance processing position.
In another preferred embodiment of the present invention, the present application provides a repair/ex-warehouse assessment apparatus, including:
the image acquisition module is used for acquiring images of vehicles to be taken out of the garage in at least one direction; the vehicle to be delivered out of the garage is a repaired vehicle;
the image input module is used for inputting the images of the vehicles to be taken out of the garage into a vehicle fault recognition model obtained through pre-training;
and the result evaluation module is used for determining the evaluation result of the vehicle to be delivered according to the output result of the vehicle fault identification model so as to finish the evaluation operation of the vehicle to be delivered.
Optionally, the apparatus is further configured to:
after determining the evaluation result of the vehicle to be taken out of the garage according to the output result of the vehicle fault recognition model, the device is further used for:
and displaying the evaluation result through an evaluation result indicator.
Optionally, before acquiring the image of the vehicle to be taken out of the garage in at least one direction, the device is further configured to:
and vertically fixing the vehicle to be delivered to the conveying device so that the vehicle to be delivered runs to the shooting area of the camera in at least one direction.
Optionally, the vehicle to be delivered is transmitted to enable the vehicle to be delivered to run to a shooting area of a camera in at least one direction, and the method is specifically configured to:
in response to an evaluation instruction of the vehicle to be delivered, controlling a conveying device to convey the vehicle to be delivered to a shooting area of a camera;
and triggering a photographing instruction of the camera according to the shooting area signal of the vehicle to be taken out of the garage detected by the distance sensor.
Optionally, the vehicle to be delivered out of the garage is vertically fixed on the conveying device through a fixed tray;
wherein the fixed tray comprises a tray bottom plate and a bracket; the tray bottom plate is fixed on the conveying device, and the support is used for supporting front and rear wheel shafts of the vehicle to be delivered out of the garage so as to keep the vehicle to be delivered out of the garage upright.
Optionally, the at least one azimuth camera includes a right-up direction camera, a diagonal-up direction camera, and a horizontal direction camera.
Optionally, determining an evaluation result of the vehicle to be delivered from the garage according to the output result of the vehicle fault identification model, including:
if the vehicle to be delivered is determined to be failure-free according to the output result of the vehicle failure recognition model, the vehicle to be delivered passes the evaluation;
and if the vehicle to be delivered is determined to have a fault according to the output result of the vehicle fault identification model, returning the vehicle to a vehicle maintenance processing position.
In another preferred embodiment of the present invention, a computer-readable storage medium is provided, on which a computer program is stored, and the computer program, when executed by a processor, implements the method for assessing repair ex-warehouse according to the embodiment of the present invention.
In another preferred embodiment of the present invention, an electronic device is provided, which includes a memory, a processor, and a computer program stored in the memory and executable by the processor, and when the processor executes the computer program, the processor implements the method for assessing repair ex-warehouse according to the embodiment of the present invention.
The technical scheme provided by the invention has the following technical effects:
the invention is suitable for the condition of the evaluation operation of maintenance ex-warehouse, and by adopting the technical scheme provided by the application, the evaluation of the single-vehicle maintenance quality is automatic and intelligent; a single-vehicle maintenance quality auditing assembly line is realized; reducing subjective errors of manual examination; the auditing efficiency is improved; the fault labels can be printed on the fault single cars for sorting, and maintenance operation is automatically assigned; the big data of the single vehicle fault can be adopted to ensure the accuracy of the evaluation result; meanwhile, the service conditions of the parts maintained by the single vehicle can be counted; and the fault recognition model training sample data can be collected by the single-vehicle maintenance rack to perform recognition model machine learning.
The conception, the specific structure and the technical effects of the present invention will be further described with reference to the accompanying drawings to fully understand the objects, the features and the effects of the present invention.
Drawings
FIG. 1 is a schematic diagram of a repair ex-warehouse assessment method provided by an embodiment of the application;
FIG. 2 is a schematic top view of a camera orientation provided by an embodiment of the present application;
FIG. 3 is a schematic side view of a camera orientation provided by an embodiment of the present application;
FIG. 4 is a schematic top view of a mounting tray provided in accordance with an embodiment of the present application;
FIG. 5 is a schematic side view of a mounting tray provided in accordance with an embodiment of the present application;
FIG. 6 is a schematic diagram of a repair and ex-warehouse assessment device provided by an embodiment of the present application;
fig. 7 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict.
It should be noted that the drawings provided in the following embodiments are only for illustrating the basic idea of the present invention, and the drawings only show the components related to the present invention rather than the number, shape and size of the components in actual implementation, and the type, quantity and proportion of the components in actual implementation may be changed freely, and the layout of the components may be more complicated.
Some exemplary embodiments of the invention have been described for illustrative purposes, and it is to be understood that the invention may be practiced otherwise than as specifically described.
Fig. 1 is a schematic diagram of an evaluation method for service ex-warehouse provided in an embodiment of the present application, where the present embodiment is applicable to a case of service detection of a vehicle, and the method may be performed by an evaluation apparatus for service ex-warehouse provided in an embodiment of the present application, where the apparatus may be implemented by software and/or hardware, and may be integrated in an electronic device in a distributed cluster.
As shown in fig. 1, the method for assessing the repair shipment includes:
s110, acquiring an image of a vehicle to be taken out of a garage in at least one direction; wherein the vehicle to be delivered is a repaired vehicle.
The shooting of images of vehicles to be taken out of a garage from different angles can be completed by adopting the camera in at least one direction, and the advantage of the arrangement is that the shot images can show various details of the vehicles, such as whether brake cables are broken or not, whether chains are broken or not, whether bells are absent or not, the seats are absent and the like. The technical scheme aims at the repaired vehicle, and a conveying device, such as a conveyor belt, can be adopted to convey the vehicle from a vehicle repairing position to an image shooting position of the vehicle. A tray is arranged on the conveying device, and the vehicle is fixed on the tray. The advantage of setting up like this need not the manual work and carries, moreover under the condition that the quantity of vehicle is more, can guarantee that the vehicle is gone out the warehouse and assesses and can be carried out in order.
In this embodiment, optionally, the step of acquiring the image of the vehicle to be taken out of the garage in at least one direction includes: acquiring an image of the vehicle to be delivered from the garage in a first direction; acquiring an image of the vehicle to be delivered out of the garage in a second direction; and acquiring an image of the vehicle to be taken out of the garage in a third direction, wherein the first direction, the second direction and the third direction are different.
The images in the three directions may be acquired at the same time, and the three directions may include a right above direction, an obliquely above direction, and a horizontal direction, and may further include other directions. This has the advantage of more fully capturing the picture of the vehicle in all directions, thereby ensuring that if there is a problem location, it can be reflected from the image.
In this embodiment, optionally, after determining the evaluation result of the vehicle to be delivered from the garage according to the output result of the vehicle fault identification model, the method further includes: and displaying the evaluation result through an evaluation result indicator.
Fig. 2 is a schematic top view and fig. 3 is a schematic side view of a camera orientation provided in an embodiment of the present invention, and as shown in fig. 2 and 3, a single-vehicle fixing tray 1 is provided above a conveyor 2, a direct upward direction camera 5 may be provided directly above the conveyor belt, an oblique upward direction camera 6 may be provided obliquely above the conveyor belt, and a horizontal direction camera 2 may be provided in a horizontal direction of the conveyor belt. Wherein the assessment result indicator 4 may be used to display the assessment result. Through the arrangement, a multi-directional image of the vehicle can be obtained, and the accuracy of the evaluation result is further ensured.
And S120, inputting the image of the vehicle to be taken out of the garage to a vehicle fault recognition model obtained through pre-training.
In the scheme, the intelligent terminal can complete the acquisition of the image data and input the image data into the vehicle fault identification model. The intelligent device can be an electronic device such as a smart phone, a tablet computer, a computer and a server. It can be understood that the intelligent terminal can be connected with the photographing device in a wired or wireless transmission mode, so as to acquire the image data of the vehicles leaving the warehouse.
In this embodiment, optionally, the vehicle fault recognition model obtained through pre-training is obtained through machine learning training by using a preset number of pictures of vehicles to be taken out of a warehouse as training samples. The vehicle fault recognition model is obtained through pre-training, for example, a large number of faulty vehicle images and fault-free vehicle images are collected, feature extraction and marking are performed, and the images are input into the model for training, so that the vehicle fault recognition model capable of determining whether a vehicle has a fault is obtained. For example, 1000 training samples are adopted, images of 1000 training samples in each direction are respectively obtained, various faults such as lack of bell, brake cable breakage, chain breakage and lack of saddle can exist in the 1000 training samples, fault information can be labeled after the images are obtained, and then the fault information is input to an initial model for training. It is understood that there may be vehicles that are not faulty in the 1000 training samples. The result output by the model is compared with the actually marked fault, whether the output result of the model is correct or not can be determined, and if the output result is incorrect, the model parameters are readjusted to improve.
According to the technical scheme, vehicle fault recognition is carried out in an image recognition mode, and the vehicle detection method is different from the existing manual detection and other detection modes, and can improve the vehicle ex-warehouse detection efficiency.
And S130, determining the evaluation result of the vehicle to be delivered according to the output result of the vehicle fault identification model so as to finish the evaluation operation of the vehicle to be delivered.
In the scheme, the intelligent terminal can determine the evaluation result after obtaining the output result. Wherein the output result may be a score value, the assessment result may include a fault and no fault, and the intelligent terminal may transmit the assessment result to the result indicator for display.
In this embodiment, optionally, after determining the evaluation result of the vehicle to be delivered from the garage according to the output result of the vehicle fault recognition model, the method further includes: and displaying the evaluation result.
Specifically, the output evaluation result may be displayed by the result indicator. For example, a green light is indicated as passing the test, and a red light is indicated as still having a fault. Wherein the result indicator may be a display device arranged at the end position of the conveyor belt. For example, in the case of manually returning the vehicle to a maintenance department or a garage exit process, the worker may determine the destination of the currently delivered vehicle from the result indicator. The output result of the vehicle fault identification model may be a result of whether a fault exists in the vehicle, for example, a field that is output is a fault existence or a fault nonexistence. Specifically, the numbers 0 and 1 can be used to indicate whether a fault exists. Therefore, the evaluation result of the vehicle to be taken out of the garage can be determined based on the obtained output result. Wherein the assessment result may include that the assessment may be ex-warehouse or that the assessment cannot be ex-warehouse.
In this embodiment, preferably, the determining the evaluation result of the vehicle to be delivered from the garage according to the output result of the vehicle fault recognition model includes:
if the vehicle to be delivered is determined to be failure-free according to the output result of the vehicle failure recognition model, the vehicle to be delivered passes the evaluation;
and if the vehicle to be delivered is determined to have a fault according to the output result of the vehicle fault identification model, returning the vehicle to a vehicle maintenance processing position.
If the vehicle is detected to have no fault, the evaluation result of the vehicle can be determined to be fault-free, and therefore the vehicle to be delivered can be determined to pass the evaluation.
If the vehicle is detected to have at least one fault, such as seat missing, bell missing, chain breaking, brake cable breaking and the like, and if one fault exists, the vehicle is determined to have a fault according to the evaluation result, and the vehicle needs to be returned to a vehicle maintenance processing position for re-maintenance and re-evaluation.
Through the arrangement, the vehicles can be detected based on the visual system before being delivered out of the garage, accurate detection results are obtained, and the quality of the vehicles delivered out of the garage is guaranteed.
According to the technical scheme provided by the embodiment of the invention, the image of the vehicle to be taken out of the garage in at least one direction is obtained; the vehicle to be delivered out of the garage is a repaired vehicle; inputting the images of the vehicles to be taken out of the garage into a vehicle fault recognition model obtained through pre-training; and determining the evaluation result of the vehicle to be delivered according to the output result of the vehicle fault identification model so as to finish the evaluation operation of the vehicle to be delivered. By adopting the technical scheme, the single-vehicle maintenance efficiency can be improved, and the single-vehicle maintenance quality and the single-vehicle ex-warehouse qualification rate are ensured. In the scheme, the mode of arranging the tray on the conveying device can be adopted, so that the vehicle is conveyed in a fixed posture, the image shooting effect of the vehicle can be ensured, the maintenance ex-warehouse evaluation of the vehicle can be orderly carried out, and the ex-warehouse evaluation efficiency is improved.
On the basis of the above technical solutions, optionally, the vehicle to be delivered out of the garage is vertically fixed on the conveying device through a fixed tray; wherein the fixed tray comprises a tray bottom plate and a bracket; the tray bottom plate is fixed on the conveying device, and the support is used for supporting front and rear wheel shafts of the vehicle to be delivered out of the garage so as to keep the vehicle to be delivered out of the garage upright.
Fig. 4 is a schematic top view of a fixing tray provided in an embodiment of the present application, and fig. 5 is a schematic side view of the fixing tray provided in the embodiment of the present application, as shown in fig. 4 and 5, the fixing tray can be stably fixed on a conveyor by a tray bottom plate, and a lateral shaft of a wheel is supported by a bracket, wherein the lateral shaft includes a front wheel and a rear wheel. It is possible to ensure that the body of the vehicle is in an upright state. Through the arrangement, the vehicle can be ensured to be in an upright state in the running process on the conveyor belt, so that the shot images can accurately acquire details of all directions of the vehicle to be delivered, and the accuracy of the evaluation result of the vehicle to be delivered based on the images is ensured.
On the basis of the above technical solutions, optionally, before acquiring the image of the vehicle to be taken out of the garage in at least one direction, the method further includes: and transmitting the vehicle to be delivered out of the garage so that the vehicle to be delivered out of the garage runs to the shooting area of the camera in at least one direction.
The upright vehicle leaving warehouse can be ensured, so that the images of the vehicles can be acquired from a fixed angle in the process of subsequent image shooting, and the problem that whether faults exist in parts due to the fact that the parts are shielded by the vehicle body and cannot be normally judged due to different angles is solved.
On the basis of the above technical solutions, optionally, the transmitting the vehicle to be delivered out of the garage to enable the vehicle to be delivered out of the garage to move to the shooting area of the camera in at least one direction includes: in response to an evaluation instruction of a vehicle to be taken out of a garage, conveying the vehicle to be taken out of the garage to a shooting area of a camera; and triggering a photographing instruction when the vehicle to be taken out of the garage reaches the photographing area.
Wherein sensors, such as proximity sensors, etc., can be mounted in fixed positions. When the camera reaches the position, the proximity switch detects the signal, so that the camera is triggered to shoot a picture. Through the arrangement, the vehicle can be ensured to obtain a complete image with a consistent direction when the image is shot, and the accuracy of the evaluation result of the vehicle to be taken out of the garage by the vehicle fault identification model is facilitated. Besides the proximity sensor, a signal transmitting device and a signal receiving device can be arranged on the opposite side of the conveying device, the signal transmitting device and the signal receiving device can be arranged in front of the camera, so that the vehicle firstly passes through the signal transmitting device and the signal receiving device and then reaches the position of the camera, laser or infrared light signals are continuously transmitted at one end of the signal transmitting device, the signals are continuously received at one end of the signal receiving device, when an interruption exists in the receiving process, an object exists, namely the vehicle is conveyed to the positions of the signal transmitting device and the signal receiving device, and meanwhile, the photographing function can be determined to be started according to the conveying speed of the conveying device.
In the scheme, the vehicle is taken out of the warehouse according to a series of quality standards, for example, relevant parts such as a brake, a handle and a cushion cannot be lost, a chain, a brake cable and the like are intact and cannot be damaged, and a picture taken by the vehicle is diagnosed through an intelligent machine vision algorithm. If the vehicle part is missing or damaged, the vehicle part is judged to be unqualified, namely, the vehicle part has a fault.
According to the technical scheme, the single-vehicle fault maintenance auditing mechanical rack comprises a conveying device, a single-vehicle fixed tray, a camera device and an auditing result indicator. The transmission device is used for transmitting the bicycle to be detected to the camera position for fault audit and evaluation; the bicycle fixing tray is a mechanical part for fixing a bicycle and ensuring the stability of the bicycle; the camera equipment is an intelligent electronic device for collecting a picture of the bicycle to be detected; the checking result indicator is an indicating device for outputting the result after the image data of the single vehicle is transmitted to the fault recognition system and checked by the fault recognition system. The single-vehicle fault recognition system is an intelligent system for recognizing vehicle fault positions and evaluating vehicle quality through an artificial intelligence algorithm on single-vehicle fault images.
By adopting the scheme, the following advantages can be realized: a fault label is printed on a fault bicycle for sorting, and maintenance operation is automatically assigned; the single-vehicle maintenance quality evaluation is automatic and intelligent; a single-vehicle maintenance quality auditing assembly line is realized; reducing subjective errors of manual examination; the auditing efficiency is improved; big data of single vehicle faults; statistics on the use of parts maintained by a single vehicle; the fault recognition model training sample plate data can be collected through the single-vehicle maintenance rack to perform recognition model machine learning.
Fig. 6 is a schematic view of a repair and ex-warehouse assessment device provided in an embodiment of the present application, and as shown in fig. 6, the repair and ex-warehouse assessment device includes:
the image acquisition module 610 is used for acquiring images of vehicles to be taken out of the garage in at least one direction; the vehicle to be delivered out of the garage is a repaired vehicle;
the image input module 620 is used for inputting the images of the vehicles to be taken out of the garage into a vehicle fault recognition model obtained through pre-training;
and the result evaluation module 630 is used for determining the evaluation result of the vehicle to be delivered according to the output result of the vehicle fault identification model so as to finish the evaluation operation of the vehicle to be delivered.
According to the technical scheme provided by the embodiment of the invention, the image of the vehicle to be taken out of the garage in at least one direction is obtained; the vehicle to be delivered out of the garage is a repaired vehicle; inputting the images of the vehicles to be taken out of the garage into a vehicle fault recognition model obtained through pre-training; and determining the evaluation result of the vehicle to be delivered according to the output result of the vehicle fault identification model so as to finish the evaluation operation of the vehicle to be delivered. By adopting the technical scheme, the single-vehicle maintenance efficiency can be improved, and the single-vehicle maintenance quality and the single-vehicle ex-warehouse qualification rate are ensured.
Optionally, the apparatus is further configured to:
after determining the evaluation result of the vehicle to be taken out of the garage according to the output result of the vehicle fault recognition model, the device is further used for:
and displaying the evaluation result through an evaluation result indicator.
Optionally, before acquiring the image of the vehicle to be taken out of the garage in at least one direction, the device is further configured to:
and vertically fixing the vehicle to be delivered to the conveying device so that the vehicle to be delivered runs to the shooting area of the camera in at least one direction.
Optionally, the vehicle to be delivered is transmitted to enable the vehicle to be delivered to run to a shooting area of a camera in at least one direction, and the method is specifically configured to:
in response to an evaluation instruction of the vehicle to be delivered, controlling a conveying device to convey the vehicle to be delivered to a shooting area of a camera;
and triggering a photographing instruction of the camera according to the shooting area signal of the vehicle to be taken out of the garage detected by the distance sensor.
Optionally, the vehicle to be delivered out of the garage is vertically fixed on the conveying device through a fixed tray;
wherein the fixed tray comprises a tray bottom plate and a bracket; the tray bottom plate is fixed on the conveying device, and the support is used for supporting front and rear wheel shafts of the vehicle to be delivered out of the garage so as to keep the vehicle to be delivered out of the garage upright.
Optionally, the at least one azimuth camera includes a right-up direction camera, a diagonal-up direction camera, and a horizontal direction camera.
Optionally, determining an evaluation result of the vehicle to be delivered from the garage according to the output result of the vehicle fault identification model, including:
if the vehicle to be delivered is determined to be failure-free according to the output result of the vehicle failure recognition model, the vehicle to be delivered passes the evaluation;
and if the vehicle to be delivered is determined to have a fault according to the output result of the vehicle fault identification model, returning the vehicle to a vehicle maintenance processing position.
The product can execute the method provided by the embodiment of the application, and has the corresponding functional modules and beneficial effects of the execution method.
Embodiments of the present application also provide a storage medium containing computer-executable instructions that, when executed by a computer processor, perform a method for providing power based on a solar panel, the method comprising:
acquiring an image of a vehicle to be taken out of a garage in at least one direction; the vehicle to be delivered out of the garage is a repaired vehicle;
inputting the images of the vehicles to be taken out of the garage into a vehicle fault recognition model obtained through pre-training;
and determining the evaluation result of the vehicle to be delivered according to the output result of the vehicle fault identification model so as to finish the evaluation operation of the vehicle to be delivered.
Optionally, after determining the evaluation result of the vehicle to be delivered from the garage according to the output result of the vehicle fault identification model, the method further includes:
and displaying the evaluation result through an evaluation result indicator.
Optionally, before acquiring the image of the vehicle to be taken out of the garage in at least one direction, the method further includes:
and vertically fixing the vehicle to be delivered to the conveying device so that the vehicle to be delivered runs to the shooting area of the camera in at least one direction.
Optionally, the transmitting the vehicle to be delivered to enable the vehicle to be delivered to run to a shooting area of a camera in at least one direction includes:
in response to an evaluation instruction of the vehicle to be delivered, controlling a conveying device to convey the vehicle to be delivered to a shooting area of a camera;
and triggering a photographing instruction of the camera according to the shooting area signal of the vehicle to be taken out of the garage detected by the distance sensor.
Optionally, the vehicle to be delivered out of the garage is vertically fixed on the conveying device through a fixed tray;
wherein the fixed tray comprises a tray bottom plate and a bracket; the tray bottom plate is fixed on the conveying device, and the support is used for supporting front and rear wheel shafts of the vehicle to be delivered out of the garage so as to keep the vehicle to be delivered out of the garage upright.
Optionally, the at least one azimuth camera includes a right-up direction camera, a diagonal-up direction camera, and a horizontal direction camera.
Optionally, determining an evaluation result of the vehicle to be delivered from the garage according to the output result of the vehicle fault identification model, including:
if the vehicle to be delivered is determined to be failure-free according to the output result of the vehicle failure recognition model, the vehicle to be delivered passes the evaluation;
and if the vehicle to be delivered is determined to have a fault according to the output result of the vehicle fault identification model, returning the vehicle to a vehicle maintenance processing position.
Storage medium-any of various types of memory devices or storage devices. The term "storage medium" is intended to include: mounting media such as CD-ROM, floppy disk, or tape devices; computer system memory or random access memory such as DRAM, DDR RAM, SRAM, EDO RAM, Lanbas (Rambus) RAM, etc.; non-volatile memory such as flash memory, magnetic media (e.g., hard disk or optical storage); registers or other similar types of memory elements, etc. The storage medium may also include other types of memory or combinations thereof. In addition, the storage medium may be located in the computer system in which the program is executed, or may be located in a different second computer system connected to the computer system through a network (such as the internet). The second computer system may provide the program instructions to the computer for execution. The term "storage medium" may include two or more storage media that may reside in different locations, such as in different computer systems that are connected by a network. The storage medium may store program instructions (e.g., embodied as a computer program) that are executable by one or more processors.
Of course, the storage medium provided in the embodiments of the present application contains computer-executable instructions, and the computer-executable instructions are not limited to the operations of the method for assessing repair and ex-warehouse service described above, and may also perform related operations in the method for assessing repair and ex-warehouse service provided in any embodiment of the present application.
Fig. 7 is a schematic structural diagram of an electronic device according to an embodiment of the present application. Referring now to FIG. 7, shown is a schematic diagram of an electronic device 700 suitable for use in implementing embodiments of the present application. The electronic device in the embodiment of the present application may be an electronic device for providing an information presentation function. The electronic device shown in fig. 7 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present application.
As shown in fig. 7, electronic device 700 may include a processing means (e.g., central processing unit, graphics processor, etc.) 701 that may perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)702 or a program loaded from storage 708 into a Random Access Memory (RAM) 703. In the RAM 703, various programs and data necessary for the operation of the electronic apparatus 700 are also stored. The processing device 701, the ROM 702, and the RAM 703 are connected to each other by a bus 704. An input/output (I/O) interface 705 is also connected to bus 704.
In general, input devices 706 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc., output devices 707 including, for example, a liquid crystal display (L CD), speaker, vibrator, etc., storage devices 708 including, for example, magnetic tape, hard disk, etc., and communication devices 709. communication devices 709 may allow electronic device 700 to communicate wirelessly or wiredly with other devices to exchange data.
In particular, according to embodiments of the application, the processes described above with reference to the flow diagrams may be implemented as computer software programs. For example, embodiments of the present application include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated by the flow chart. In such embodiments, the computer program may be downloaded and installed from a network via the communication means 709, or may be installed from the storage means 708, or may be installed from the ROM 702. The computer program, when executed by the processing device 701, performs the above-described functions defined in the methods of the embodiments of the present application.
It should be noted that the computer readable medium mentioned above in the present application may be a computer readable signal medium or a computer readable medium or any combination of the two. A computer readable medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable medium may include, but are not limited to: an electrical connection having 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. In the present application, a computer readable medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In this application, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may be any computer readable medium that is not a computer readable medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
The computer readable medium may be embodied in the electronic device; or may exist separately without being assembled into the electronic device.
The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to perform:
acquiring an image of a vehicle to be taken out of a garage in at least one direction; the vehicle to be delivered out of the garage is a repaired vehicle;
inputting the images of the vehicles to be taken out of the garage into a vehicle fault recognition model obtained through pre-training;
and determining the evaluation result of the vehicle to be delivered according to the output result of the vehicle fault identification model so as to finish the evaluation operation of the vehicle to be delivered.
Optionally, after determining the evaluation result of the vehicle to be delivered from the garage according to the output result of the vehicle fault identification model, the method further includes:
and displaying the evaluation result through an evaluation result indicator.
Optionally, before acquiring the image of the vehicle to be taken out of the garage in at least one direction, the method further includes:
and vertically fixing the vehicle to be delivered to the conveying device so that the vehicle to be delivered runs to the shooting area of the camera in at least one direction.
Optionally, the transmitting the vehicle to be delivered to enable the vehicle to be delivered to run to a shooting area of a camera in at least one direction includes:
in response to an evaluation instruction of the vehicle to be delivered, controlling a conveying device to convey the vehicle to be delivered to a shooting area of a camera;
and triggering a photographing instruction of the camera according to the shooting area signal of the vehicle to be taken out of the garage detected by the distance sensor.
Optionally, the vehicle to be delivered out of the garage is vertically fixed on the conveying device through a fixed tray;
wherein the fixed tray comprises a tray bottom plate and a bracket; the tray bottom plate is fixed on the conveying device, and the support is used for supporting front and rear wheel shafts of the vehicle to be delivered out of the garage so as to keep the vehicle to be delivered out of the garage upright.
Optionally, the at least one azimuth camera includes a right-up direction camera, a diagonal-up direction camera, and a horizontal direction camera.
Optionally, determining an evaluation result of the vehicle to be delivered from the garage according to the output result of the vehicle fault identification model, including:
if the vehicle to be delivered is determined to be failure-free according to the output result of the vehicle failure recognition model, the vehicle to be delivered passes the evaluation;
and if the vehicle to be delivered is determined to have a fault according to the output result of the vehicle fault identification model, returning the vehicle to a vehicle maintenance processing position.
Computer program code for carrying out operations for aspects of the present application may be written in any combination of one or more programming languages, including AN object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in the embodiments of the present application may be implemented by software or hardware. The names of the modules and units do not limit the modules and units in some cases.
The above description is only a preferred embodiment of the application and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the disclosure herein is not limited to the particular combination of features described above, but also encompasses other arrangements formed by any combination of the above features or their equivalents without departing from the spirit of the disclosure. For example, the above features may be replaced with (but not limited to) features having similar functions disclosed in the present application.
The foregoing embodiments are merely illustrative of the principles and utilities of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.
Claims (10)
1. A method for assessing service disembarkation, the method comprising:
acquiring an image of a vehicle to be taken out of a garage in at least one direction; the vehicle to be delivered out of the garage is a repaired vehicle;
inputting the images of the vehicles to be taken out of the garage into a vehicle fault recognition model obtained through pre-training;
and determining the evaluation result of the vehicle to be delivered according to the output result of the vehicle fault identification model so as to finish the evaluation operation of the vehicle to be delivered.
2. The method according to claim 1, wherein after determining the result of evaluation of the vehicle to be out of stock from the output result of the vehicle failure recognition model, the method further comprises:
and displaying the evaluation result.
3. The method of claim 1, wherein prior to the step of obtaining an image of a vehicle to be picked up in at least one direction, the method further comprises:
and transmitting the vehicle to be delivered out of the garage so that the vehicle to be delivered out of the garage runs to the shooting area of the camera in at least one direction.
4. The method of claim 3, wherein the transferring the vehicle to be picked up to move the vehicle to be picked up to a shooting area of a camera of at least one azimuth comprises:
in response to an evaluation instruction of a vehicle to be taken out of the garage, conveying the vehicle to be taken out of the garage to a shooting area;
and triggering a photographing instruction when the vehicle to be taken out of the garage reaches the photographing area.
5. The method of claim 1, wherein the pre-trained vehicle fault recognition model is obtained through machine learning training by using a preset number of pictures of vehicles to be taken out of a warehouse as training samples.
6. The method of claim 1, wherein the step of obtaining an image of a vehicle to be picked up in at least one direction comprises:
acquiring an image of the vehicle to be delivered from the garage in a first direction;
acquiring an image of the vehicle to be delivered out of the garage in a second direction;
and acquiring an image of the vehicle to be taken out of the garage in a third direction, wherein the first direction, the second direction and the third direction are different.
7. The method according to claim 1, wherein determining the evaluation result of the vehicle to be out of the garage based on the output result of the vehicle failure recognition model includes:
if the vehicle to be delivered is determined to be failure-free according to the output result of the vehicle failure recognition model, the vehicle to be delivered passes the evaluation;
and if the vehicle to be delivered is determined to have a fault according to the output result of the vehicle fault identification model, returning the vehicle to a vehicle maintenance processing position.
8. A service-out assessment device, the method comprising:
the image acquisition module is used for acquiring images of vehicles to be taken out of the garage in at least one direction; the vehicle to be delivered out of the garage is a repaired vehicle;
the image input module is used for inputting the images of the vehicles to be taken out of the garage into a vehicle fault recognition model obtained through pre-training;
and the result evaluation module is used for determining the evaluation result of the vehicle to be delivered according to the output result of the vehicle fault identification model so as to finish the evaluation operation of the vehicle to be delivered.
9. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out a method of assessing service ex-warehouse as claimed in any one of claims 1 to 7.
10. An electronic device comprising a memory, a processor and a computer program stored on said memory and executable on said processor, wherein said processor implements the method of assessing service out of a warehouse as claimed in any one of claims 1 to 7 when executing said computer program.
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| CN202010189975.9A CN111415018A (en) | 2020-03-18 | 2020-03-18 | Method, device, medium and equipment for evaluating maintenance ex-warehouse |
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| CN202010189975.9A CN111415018A (en) | 2020-03-18 | 2020-03-18 | Method, device, medium and equipment for evaluating maintenance ex-warehouse |
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Application publication date: 20200714 |