CN112785011A - Logistics vehicle maintenance management method and system - Google Patents
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Abstract
The application provides a logistics vehicle maintenance management method and a logistics vehicle maintenance management system, wherein the method comprises the following steps: the computer terminal obtains vehicle information to be maintained, wherein the vehicle information comprises: vehicle license plates and vehicle mileage; the computer terminal obtains the first picture of maintenance personnel and the maintenance information of vehicle, and the maintenance information includes: maintenance items, maintenance amounts and maintenance dates; sending the vehicle information, the first picture and the maintenance information to a data center; the data center determines a first identity of a maintenance worker according to the first picture, determines whether maintenance is abnormal according to the vehicle information and the maintenance information, and records the first identity, the vehicle information and the maintenance information into an abnormal table of a vehicle maintenance record if the maintenance is abnormal. The technical scheme provided by the application has the advantage of low cost.
Description
Technical Field
The application relates to the technical field of internet logistics, in particular to a logistics vehicle maintenance management method and system.
Background
The logistics enterprise is a main participating body for construction and operation of a logistics financial public information platform, on one hand, the logistics enterprise issues information such as demand information, vehicle and goods transaction, vehicle and goods tracking and positioning and the like through the platform, and the information influence range is expanded; on the other hand, the logistics financial public information platform can provide real-time dynamic information for logistics enterprises, reduces the asymmetry of the information, comprehensively masters the information of financing enterprises, financial institutions and logistics industry, can increase the cooperation opportunities of the logistics enterprises and the financial institutions, is beneficial to the development of new services and improves the competitiveness of the logistics enterprises and the financial institutions.
The existing logistics enterprises are based on manual record management on fleet maintenance, the management cost is high, the management is not standard, and the management efficiency is influenced.
Disclosure of Invention
The embodiment of the application provides a logistics vehicle maintenance management method, which can automatically manage the maintenance records of a fleet of vehicles through an internet logistics technology, improve the management efficiency and reduce the labor cost.
In a first aspect, an embodiment of the present application provides a method for maintaining and managing logistics vehicles, where the method is applied to a fleet management system, and the fleet management system includes: a data center and a plurality of computer terminals connected to the data center, the method comprising the steps of:
the computer terminal obtains vehicle information to be maintained, wherein the vehicle information comprises: vehicle license plates and vehicle mileage;
the computer terminal obtains the first picture of maintenance personnel and the maintenance information of vehicle, and the maintenance information includes: maintenance items, maintenance amounts and maintenance dates; sending the vehicle information, the first picture and the maintenance information to a data center;
the data center determines a first identity of a maintenance worker according to the first picture, determines whether maintenance is abnormal according to the vehicle information and the maintenance information, and records the first identity, the vehicle information and the maintenance information into an abnormal table of a vehicle maintenance record if the maintenance is abnormal.
In a second aspect, a logistics vehicle repair management system is provided, the system comprising: a data center and a plurality of computer terminals connected to the data center,
the computer terminal is used for acquiring vehicle information to be maintained, and the vehicle information comprises: vehicle license plates and vehicle mileage;
the computer terminal is used for acquiring a first picture of a maintenance person and maintenance information of a vehicle, and the maintenance information comprises: maintenance items, maintenance amounts and maintenance dates; sending the vehicle information, the first picture and the maintenance information to a data center;
and the data center is used for determining the first identity of a maintenance worker according to the first picture, determining whether maintenance is abnormal according to the vehicle information and the maintenance information, and recording the first identity, the vehicle information and the maintenance information into an abnormal table of a vehicle maintenance record if the maintenance is abnormal.
In a third aspect, a computer-readable storage medium is provided, which stores a program for electronic data exchange, wherein the program causes a terminal to execute the method provided in the first aspect.
The embodiment of the application has the following beneficial effects:
it can be seen that, the technical scheme provided by the application obtains the vehicle information to be maintained by the computer terminal, and the vehicle information includes: vehicle license plates and vehicle mileage; the computer terminal obtains the first picture of maintenance personnel and the maintenance information of vehicle, and the maintenance information includes: maintenance items, maintenance amounts and maintenance dates; sending the vehicle information, the first picture and the maintenance information to a data center; the data center determines a first identity of a maintenance worker according to the first picture, determines whether maintenance is abnormal according to the vehicle information and the maintenance information, and records the first identity, the vehicle information and the maintenance information into an abnormal table of a vehicle maintenance record if the maintenance is abnormal. Therefore, the abnormal maintenance condition and the corresponding personnel are recorded, the automatic management of the maintenance record of the motorcade is realized, the management efficiency is improved, and the labor cost is reduced.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic diagram of a fleet management system.
FIG. 2 is a schematic flow chart diagram illustrating a method for logistics vehicle repair management provided herein;
fig. 3 is a schematic cutting diagram of the roll difference calculation provided in the present application.
Fig. 4 is a schematic diagram of a relationship between a pixel matrix and an intersection matrix provided in the present application.
Fig. 5 is a schematic view of a horizontal line of equal distance in accordance with an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some, but not all, embodiments of the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The terms "first," "second," "third," and "fourth," etc. in the description and claims of this application and in the accompanying drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, result, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
Referring to fig. 1, fig. 1 provides a logistics vehicle maintenance management system, the fleet management system comprising: the system comprises a data center 101 and a plurality of computer terminals 102, wherein the computer terminals are arranged in a vehicle maintenance center, specifically, the computer terminals may be a personal computer or a server, or may also be a smart phone, the computer terminals may be connected to the data center through a wireless network or a wired network, and the wireless network specifically may include: 5G, and the like.
Computer terminal includes storage and processing circuit, and with the sensor that storage and processing circuit are connected, the sensor can include camera, distance sensor, gravity sensor etc, this application electronic equipment can include two transparent display screens, this transparent display screen sets up at electronic equipment's back and front, part or whole parts in the part between two transparent display screens also can be for transparent, consequently this electronic equipment can be a transparent electronic equipment from the visual effect, if for some parts be transparent, then this electronic equipment can be fretwork electronic equipment. Wherein:
the computer terminal may include control circuitry, which may include storage and processing circuitry. The storage and processing circuitry may be memory, such as hard disk drive memory, non-volatile memory (e.g., flash memory or other electronically programmable read-only memory used to form a solid state drive, etc.), volatile memory (e.g., static or dynamic random access memory, etc.), etc., and embodiments of the present application are not limited thereto. Processing circuitry in the storage and processing circuitry may be used to control the operation of the terminal. The processing circuitry may be implemented based on one or more microprocessors, microcontrollers, digital signal processors, baseband processors, power management units, audio codec chips, application specific integrated circuits, display driver integrated circuits, and the like.
The storage and processing circuitry may be used to run software in the computer terminal, such as an Internet browsing application, a Voice Over Internet Protocol (VOIP) telephone call application, an email application, a media playing application, an operating system function, and so forth. Such software may be used to perform control operations such as camera-based image capture, ambient light measurement based on an ambient light sensor, proximity sensor measurement based on a proximity sensor, information display functionality based on status indicators such as status indicator lights of light emitting diodes, touch event detection based on a touch sensor, functionality associated with displaying information on multiple (e.g., layered) display screens, operations associated with performing wireless communication functions, operations associated with collecting and generating audio signals, control operations associated with collecting and processing button press event data, and other functions in a computer terminal, to name a few, embodiments of the present application are not limited.
The computer terminal may include input-output circuitry. The input-output circuit may be used to enable the computer terminal to perform input and output of data, i.e., to allow the computer terminal to receive data from and also to allow the computer terminal to output data from the computer terminal to and from an external device. The input-output circuit may further include a sensor. The sensor may include: vein identification module, can also include ambient light sensor, proximity sensor based on light and electric capacity, fingerprint identification module, touch sensor (for example, based on light touch sensor and/or capacitanc touch sensor, wherein, touch sensor can be touch-control display screen's partly, also can regard as a touch sensor structure independent utility), acceleration sensor, the camera, and other sensors etc. the camera can be leading camera or rear camera, the fingerprint identification module can integrate in the display screen below, be used for gathering the fingerprint image, the fingerprint identification module can be: optical fingerprint module, etc., and is not limited herein. The front camera can be arranged below the front display screen, and the rear camera can be arranged below the rear display screen. Of course, the front camera or the rear camera may not be integrated with the display screen, and certainly in practical applications, the front camera or the rear camera may also be a lifting structure.
The input-output circuitry may also include one or more display screens. The display screen may include one or a combination of liquid crystal display screen, transparent display screen, organic light emitting diode display screen, electronic ink display screen, plasma display screen, display screen using other display technologies. The display screen may include an array of touch sensors (i.e., the display screen may be a touch display screen). The touch sensor may be a capacitive touch sensor formed by a transparent touch sensor electrode (e.g., an Indium Tin Oxide (ITO) electrode) array, or may be a touch sensor formed using other touch technologies, such as acoustic wave touch, pressure sensitive touch, resistive touch, optical touch, and the like, and the embodiments of the present application are not limited thereto.
The computer terminal may also include an audio component. The audio component may be used to provide audio input and output functionality for the computer terminal. Audio components in a computer terminal may include a speaker, microphone, buzzer, tone generator and other components for generating and detecting sound.
The communication circuit may be used to provide the computer terminal with the ability to communicate with external devices. The communication circuitry may include analog and digital input-output interface circuitry, and wireless communication circuitry based on radio frequency signals and/or optical signals. The wireless communication circuitry in the communication circuitry may include radio frequency transceiver circuitry, power amplifier circuitry, low noise amplifiers, switches, filters, and antennas. For example, the wireless Communication circuitry in the Communication circuitry may include circuitry to support Near Field Communication (NFC) by transmitting and receiving Near Field coupled electromagnetic signals. For example, the communication circuit may include a near field communication antenna and a near field communication transceiver. The communications circuitry may also include cellular telephone transceiver and antennas, wireless local area network transceiver circuitry and antennas, and so forth.
The computer terminal may further include a battery, a power management circuit and other input-output units. Input-output units may include buttons, joysticks, click wheels, scroll wheels, touch pads, keypads, keyboards, cameras, light emitting diodes and other status indicators, and the like.
A user may enter commands through the input-output circuitry to control operation of the computer terminal and may use output data from the input-output circuitry to effect receipt of status information and other outputs from the computer terminal.
For logistics enterprises, two main cost expenses exist, the first is manual expense, the calculation mode of the expense is relatively fixed, the second is expense of vehicles, the expense of the vehicles is divided into two categories, the first category is expense of oil expenses, the second category is expense of maintenance expenses, for the expense of the maintenance expenses, the existing manual statistics is relatively difficult, and the management of vehicle maintenance is relatively disordered and the vehicle maintenance cost is relatively high due to the fact that form statistics personnel for maintenance are difficult to inquire the specific date and the rationality of form statistics personnel.
Referring to fig. 2, fig. 2 provides a method of logistics vehicle maintenance management, which may be performed by the fleet management system shown in fig. 1, the method shown in fig. 2 comprising the steps of:
step S201, the computer terminal obtains the vehicle information to be maintained, and the vehicle information comprises: vehicle license plates and vehicle mileage;
step S202, the computer terminal obtains a first picture of a maintenance person and maintenance information of the vehicle, wherein the maintenance information comprises: maintenance items, maintenance amounts and maintenance dates; sending the vehicle information, the first picture and the maintenance information to a data center;
step S203, the data center determines a first identity of the maintenance worker according to the first picture, determines whether the maintenance is abnormal according to the vehicle information and the maintenance information, and records the first identity, the vehicle information and the maintenance information into an abnormal table of the vehicle maintenance record if the maintenance is abnormal.
The application provides a technical scheme computer terminal acquires the vehicle information of waiting to maintain, and this vehicle information includes: vehicle license plates and vehicle mileage; the computer terminal obtains the first picture of maintenance personnel and the maintenance information of vehicle, and the maintenance information includes: maintenance items, maintenance amounts and maintenance dates; sending the vehicle information, the first picture and the maintenance information to a data center; the data center determines a first identity of a maintenance worker according to the first picture, determines whether maintenance is abnormal according to the vehicle information and the maintenance information, and records the first identity, the vehicle information and the maintenance information into an abnormal table of a vehicle maintenance record if the maintenance is abnormal. Therefore, the abnormal maintenance condition and the corresponding personnel are recorded, the automatic management of the maintenance record of the motorcade is realized, the management efficiency is improved, and the labor cost is reduced.
In an optional scheme, the determining whether the maintenance is abnormal according to the vehicle information and the maintenance information specifically includes:
the computer terminal determines a vehicle model according to a vehicle license plate, extracts a maintenance kilometer number and a maintenance suggestion time in a maintenance manual according to the vehicle model, sends the maintenance kilometer number and the maintenance suggestion time to a data center, the data center extracts a last vehicle mileage and a last maintenance date corresponding to the vehicle license plate, calculates a difference between the last vehicle mileage and the current vehicle mileage to obtain a difference mileage, calculates a difference between the last maintenance date and a local maintenance date to obtain a difference time, and determines that the vehicle information and the maintenance information are abnormal if the difference between the difference mileage and the maintenance kilometer number is lower than a mileage threshold value and the difference between the difference time and the maintenance suggestion time is lower than a time threshold value.
In an optional aspect, the method may further include:
if the difference between the difference mileage and the maintenance kilometer number is higher than the mileage threshold or the difference between the difference time and the maintenance suggested time is higher than the time threshold, the data center obtains a plurality of differences between the current maintenance time and the last maintenance time of each project in the maintenance projects, compares the plurality of differences with the threshold corresponding to the item of the difference to determine, if the first difference is smaller than the threshold corresponding to the item of the first difference, determines that the project corresponding to the first difference is abnormal, and if the plurality of differences are smaller than the threshold corresponding to the project, determines that the vehicle information and the maintenance information are normal.
For example, if the maintenance item is tire replacement, the last tire replacement is the last year, the difference is 1 year, and the corresponding threshold is 3 years, it is determined that the tire replacement is abnormal.
In an alternative, the determining, by the computer terminal, the vehicle model according to the license plate of the vehicle, extracting the vehicle model, extracting the number of service kilometers in the service manual, and extracting the suggested time for service may specifically include:
and the computer terminal calls the vehicle model corresponding to the license plate from the database according to the license plate, calls a maintenance manual corresponding to the vehicle model from the database, and extracts the maintenance kilometers and the maintenance suggested time in the maintenance manual.
For the computer terminal, most of the computer terminal is the computer terminal of the automobile 4S shop, and the terminal keeps relevant information in a database for history customers, so that the maintenance kilometers and the maintenance suggested time can be called conveniently. The above-mentioned call can be obtained in a conventional manner, for example, in the manner of a mapping table, and can also be obtained by direct search through a search engine.
If the first picture is the target face image, the first identity determination method may specifically be as follows:
verifying the target face image; and when the target face image passes the verification, determining that the target object is a first identity corresponding to a preset face module.
In the specific implementation, the data center can pre-store a preset face template, the computer equipment can acquire an original image of a target object through the camera, and then send the original image to the data center, and then the data center can determine the first identity of the target object when the target face image is successfully matched with the preset face template, otherwise, the first identity of the target object is not determined, so that the identity of the target object can be identified, and then whether the first identity is a reserved patient or not can be judged, and the remote medical treatment started by other people is avoided.
Further, in a possible example, the verifying the target face image may include:
performing region segmentation on the target face image to obtain a target face region, wherein the target face region is a region image only of a face;
carrying out binarization processing on the target face area to obtain a binarization face image;
dividing the binaryzation face image into a plurality of regions, wherein the areas of the regions are the same and the area size is larger than a preset area value;
extracting feature points of the binarized face image to obtain a plurality of feature points;
determining the distribution density of the characteristic points corresponding to each of the plurality of areas according to the plurality of characteristic points to obtain a plurality of distribution densities of the characteristic points;
determining a target mean square error according to the distribution densities of the plurality of feature points;
determining a target quality evaluation value corresponding to the target mean square error according to a preset mapping relation between the mean square error and the quality evaluation value;
when the target quality evaluation value is smaller than the preset quality evaluation value, performing image enhancement processing on the target face image, and matching the target face image subjected to the image enhancement processing with a preset face template to obtain a matching value;
and when the matching value is larger than a preset threshold value, determining that the target face image is verified to be passed.
In specific implementation, the preset threshold and the preset area value can be set by a user or default by a system, and the preset face template can be stored in the electronic device in advance. The electronic device may obtain a region segmentation of the target face image to obtain a target face region, where the target face region may be a region that does not include a background but only includes a face, that is, a region image of only a face. And then, can carry out binarization processing to target face region, obtain two quantification face image, so, can reduce the image complexity, divide two quantification face image into a plurality of regions, the area size of each region is equal, and is greater than preset area value. Further, feature point extraction may be performed on the binarized face image to obtain a plurality of feature points, and an algorithm of the feature extraction may be at least one of the following: scale Invariant Feature Transform (SIFT), SURF, pyramid, harris corner detection, and the like, without limitation.
Further, the data center may determine, according to the plurality of feature points, a feature point distribution density corresponding to each of the plurality of regions to obtain a plurality of feature point distribution densities, and determine a target mean square error according to the plurality of feature point distribution densities, the data center may pre-store a mapping relationship between a preset mean square error and a quality evaluation value, and determine, according to the mapping relationship between the preset mean square error and the quality evaluation value, a target quality evaluation value corresponding to the target mean square error, where the smaller the mean square error is, the larger the quality evaluation value is, when the target quality evaluation value is greater than the preset quality evaluation value, directly match the target face image with a preset face template, and when a matching value therebetween is greater than a preset threshold, determine that the target face image is verified, otherwise, determine that the target face image is verified to fail.
Further, when the target quality evaluation value is smaller than the preset quality evaluation value, the data center may perform image enhancement processing on the target face image, match the target face image after the image enhancement processing with the preset face template, and determine that the target face image passes verification if the matching value between the target face image and the preset face template is larger than a preset threshold value, otherwise, determine that the target face image fails verification.
In an optional scheme, the determining, by the data center, the first identity of the service person according to the first picture may include:
the first picture can be a vein picture, the data center identifies the vein picture to determine an angle value of each branch in the vein picture, the angle value of each branch forms an angle matrix according to the position of the branch point, the data center obtains specific voice information collected by the intelligent terminal, identifies the voice information to be identified to obtain a second identity of a driver, extracts a template matrix corresponding to the second identity, uses the angle matrix as a rolling difference kernel and the template matrix to perform rolling difference operation to obtain a plurality of difference matrixes, and if the maximum value in elements of any one of the plurality of difference matrixes is lower than a numerical threshold and the average value of all the elements is lower than an average threshold, the first identity is determined to be the same as the second identity;
the obtaining a plurality of difference matrices by performing the roll difference operation on the angle matrix as the roll difference kernel and the template matrix may specifically include:
the template matrix is cut into alpha basic matrixes by taking an angle matrix as a reference and a moving window as a moving parameter, the basic matrix is obtained by cutting once when the moving window moves once, and the alpha basic matrixes and the angle matrix are respectively subjected to difference operation to obtain a difference matrix, wherein the moving window can be obtained by moving 1 element value in the length direction each time until the moving window moves to the length extreme edge of the template matrix, then moving 1 element value in the width direction, and then moving 1 element value in the length direction each time until the moving window moves to the length extreme edge of the template matrix.
Since the rolling difference operation is an operation customized in the present application, for convenience of understanding, it is assumed that fig. 3 is used for illustration, here, the template matrix is a 5 × 5 matrix, and the angle matrix is a 4 × 4 matrix, as shown in fig. 3, the template matrix 5 × 5 is cut into 4 × 4 basic matrices, then each basic matrix and the angle matrix perform a difference operation, and when cutting, the moving window 1 is used as a reference to move, as shown in fig. 3, one square may represent one element.
The specific voice message may be a voice message containing the second identity, for example, my is zhang san, and "zhang san" is the name of the second identity. The voice recognition may be performed by a common recognition method, such as a voice recognition system of the science fiction, such as the voice recognition of millet, and the like.
The data center identifies the vein picture to determine an angle value of each branch in the vein picture, and forming an angle matrix from the angle values of each branch according to the positions of the branch points may specifically include:
the method comprises the steps of preliminarily identifying a vein picture to determine a first branch region of a first branch in the vein picture (which can be determined in a classification identification mode or a region identification mode, and the specific implementation can be realized by the existing classification identification such as a support vector machine), determining a first branch sub-region and a second branch sub-region in the first branch region, performing RGB value identification on all pixel points of the first branch sub-region to obtain RGB values of all pixel points of the first branch sub-region, dividing the first branch sub-region into a vein sub-region, a fuzzy sub-region and a non-vein sub-region according to the RGB values of all the pixel points, constructing a plurality of horizontal equidistant lines in the first branch sub-region, wherein the distance between two adjacent horizontal equidistant lines is the distance of one pixel point, performing pixel point identification operation on each horizontal equidistant line in the plurality of horizontal equidistant lines to determine a left boundary pixel point and a right boundary pixel point of the fuzzy sub-region, connecting adjacent left-boundary pixel points on one side of a vein subregion to obtain a left vein boundary line, connecting adjacent right-boundary pixel points on the other side of the vein subregion to obtain a right vein boundary line, determining a vein center line between the vein boundary line on the left side of the member and the vein boundary line on the right side, determining a vein center line as a center line of a first branch line, traversing a second branch line subregion to obtain a center line of a second branch line of the second branch line, obtaining a first angle value between the center line of the first branch line and the center line of the second branch line, determining the first angle value as an angle value of a first branch, traversing remaining branches (except the first branch) in a vein picture to obtain remaining angle values of the remaining branches, and reserving pixel points belonging to intersection points in a pixel point matrix for all pixel point member pixel point matrices of the vein picture, deleting the pixel points of the non-intersection points to obtain an intersection point matrix, and filling the angle values corresponding to all the intersection points into the corresponding positions of the intersection point matrix to obtain an angle matrix.
Referring to fig. 4, fig. 4 is a schematic diagram of a transformation of a pixel point matrix into an intersection point matrix (black is an intersection point pixel point, and a dotted arrow indicates a position correspondence relationship of the intersection point matrix after the intersection point pixel point is reserved), where after the intersection point pixel point is reserved, the intersection point matrix is obtained by rearranging the positions of the pixel points.
Referring to fig. 5, fig. 5 is a schematic diagram of an isometric line in a plurality of horizontal isometric lines, as shown in fig. 5, the horizontal isometric line has 1 vein sub-region, 2 fuzzy sub-regions (respectively a left region and a right region), and 2 non-vein sub-regions, and referring to fig. 5, the technical solution of the present application needs to predict vein boundary pixel points in the fuzzy sub-regions.
The above-mentioned each horizontal equidistance line to many horizontal equidistance lines carries out pixel point identification operation and confirms that left demarcation pixel point and right demarcation pixel point of fuzzy subregion specifically can include:
performing a demarcation operation on the blurred region on one side of a horizontal equidistant line, wherein the demarcation operation comprises the following steps: acquiring a first left boundary point and a second left boundary point of a fuzzy region (such as a left fuzzy region) on one side of a horizontal equidistance line, and calculating the sum of RGB values of the first left boundary point, namely C1The sum of the value and the RGB value of the second left boundary point (the pixel point located in the fuzzy region and adjacent to the first left boundary point), namely C2Values, respectively calculating C1Value and C of pixel points in vein subregion0Value and C of pixel points in non-venous subregion0The difference between' gives two difference values X1、X1', calculating C respectively2Value and C of pixel points in vein subregion0Value and C of pixel points in non-venous subregion0The difference between' gives two difference values X2、X2', if X1＜X1' and X2＞X2', determining the first left boundary point as the left boundary pixel point, if X is1＜X1' and X2＜X2' extracting two left boundary points i and i +1 from the fuzzy region at one side of a horizontal equidistance line, and calculating the sum of RGB values of the left boundary points i, namely CiThe sum of the value and the RGB value of the left boundary point i +1 (the pixel point located in the fuzzy region and adjacent to the left boundary point i), namely Ci+1Values, respectively calculating CiValue and C of pixel points in vein subregion0Value and C of pixel points in non-venous subregion0The difference between' gives two difference values Xi、Xi', calculating C respectivelyi+1Value and C of pixel points in vein subregion0Value and C of pixel points in non-venous subregion0The difference between' gives two difference values Xi+1、Xi+1'; if Xi＜X1i' and Xi+1＞Xi+1Determining a left boundary point i as a left boundary pixel point; and performing boundary operation on the fuzzy area on the other side of one horizontal equidistant line to obtain right boundary pixel points.
The above-mentioned C value is R value + G value + B value.
For vein boundary analysis, the applicant obtains that a pixel point at the actual position of a vein boundary is often a jump pixel point in a fuzzy region (the C value of the jump pixel point is close to C)0Value, C value of the adjacent pixel point close to the non-vein subregion of the jumping pixel point is close to C0'value'), based on which the boundary line of the vein can be accurately distinguished to improve the calculation accuracy of the angle value.
The present application further provides a vehicle maintenance management system of commodity circulation, the system includes: a data center and a plurality of computer terminals connected to the data center,
the computer terminal is used for acquiring vehicle information to be maintained, and the vehicle information comprises: vehicle license plates and vehicle mileage;
the computer terminal is used for acquiring a first picture of a maintenance person and maintenance information of a vehicle, and the maintenance information comprises: maintenance items, maintenance amounts and maintenance dates; sending the vehicle information, the first picture and the maintenance information to a data center;
and the data center is used for determining the first identity of a maintenance worker according to the first picture, determining whether maintenance is abnormal according to the vehicle information and the maintenance information, and recording the first identity, the vehicle information and the maintenance information into an abnormal table of a vehicle maintenance record if the maintenance is abnormal.
Embodiments of the present application also provide a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, and the computer program enables a computer to execute part or all of the steps of any one of the methods as described in the above method embodiments.
Embodiments of the present application also provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any one of the methods as recited in the above method embodiments.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are exemplary embodiments and that the acts and modules referred to are not necessarily required in this application.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
The foregoing detailed description of the embodiments of the present application has been presented to illustrate the principles and implementations of the present application, and the above description of the embodiments is only provided to help understand the method and the core concept of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.
Claims (6)
1. A logistics vehicle maintenance management method is applied to a fleet management system, and the fleet management system comprises: a data center and a plurality of computer terminals connected to the data center, the method comprising the steps of:
the computer terminal obtains vehicle information to be maintained, wherein the vehicle information comprises: vehicle license plates and vehicle mileage;
the computer terminal obtains the first picture of maintenance personnel and the maintenance information of vehicle, and the maintenance information includes: maintenance items, maintenance amounts and maintenance dates; sending the vehicle information, the first picture and the maintenance information to a data center;
the data center determines a first identity of a maintenance worker according to the first picture, determines whether maintenance is abnormal according to the vehicle information and the maintenance information, and records the first identity, the vehicle information and the maintenance information into an abnormal table of a vehicle maintenance record if the maintenance is abnormal.
2. The method of claim 1, wherein the determining whether the maintenance is abnormal according to the vehicle information and the maintenance information specifically comprises:
the computer terminal determines the vehicle model according to the vehicle license plate, extracts the vehicle model, extracts the maintenance kilometer number and the maintenance suggested time in the maintenance manual, and sends the maintenance kilometer number and the maintenance suggested time to the data center;
the data center extracts the last vehicle mileage and the last maintenance date corresponding to the vehicle license plate, calculates the difference between the last vehicle mileage and the current vehicle mileage to obtain a difference mileage, calculates the difference between the last maintenance date and the local maintenance date to obtain a difference time, and determines that the vehicle information and the maintenance information are abnormal if the difference between the difference mileage and the maintenance kilometer number is lower than a mileage threshold value and the difference between the difference time and the maintenance suggested time is lower than a time threshold value.
3. The method of claim 2, further comprising:
if the difference between the difference mileage and the maintenance kilometer number is higher than the mileage threshold or the difference between the difference time and the maintenance suggested time is higher than the time threshold, the data center obtains a plurality of differences between the current maintenance time and the last maintenance time of each project in the maintenance projects, compares the plurality of differences with the threshold corresponding to the item of the difference to determine, if the first difference is smaller than the threshold corresponding to the item of the first difference, determines that the project corresponding to the first difference is abnormal, and if the plurality of differences are smaller than the threshold corresponding to the project, determines that the vehicle information and the maintenance information are normal.
4. The method of claim 2, wherein the computer terminal determines a vehicle model according to the license plate of the vehicle, and extracting the vehicle model and extracting the number of service kilometers and suggested time of service in the service manual comprises:
and the computer terminal calls the vehicle model corresponding to the license plate from the database according to the license plate, calls a maintenance manual corresponding to the vehicle model from the database, and extracts the maintenance kilometers and the maintenance suggested time in the maintenance manual.
5. A logistics vehicle repair management system, the system comprising: a data center and a plurality of computer terminals connected to the data center,
the computer terminal is used for acquiring vehicle information to be maintained, and the vehicle information comprises: vehicle license plates and vehicle mileage;
the computer terminal is used for acquiring a first picture of a maintenance person and maintenance information of a vehicle, and the maintenance information comprises: maintenance items, maintenance amounts and maintenance dates; sending the vehicle information, the first picture and the maintenance information to a data center;
and the data center is used for determining the first identity of a maintenance worker according to the first picture, determining whether maintenance is abnormal according to the vehicle information and the maintenance information, and recording the first identity, the vehicle information and the maintenance information into an abnormal table of a vehicle maintenance record if the maintenance is abnormal.
6. A computer-readable storage medium storing a program for electronic data exchange, wherein the program causes a terminal to execute the method according to any one of claims 1 to 4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110048916.4A CN112785011A (en) | 2021-01-14 | 2021-01-14 | Logistics vehicle maintenance management method and system |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110048916.4A CN112785011A (en) | 2021-01-14 | 2021-01-14 | Logistics vehicle maintenance management method and system |
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| CN112785011A true CN112785011A (en) | 2021-05-11 |
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| CN202110048916.4A Withdrawn CN112785011A (en) | 2021-01-14 | 2021-01-14 | Logistics vehicle maintenance management method and system |
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| CN (1) | CN112785011A (en) |
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2021
- 2021-01-14 CN CN202110048916.4A patent/CN112785011A/en not_active Withdrawn
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Application publication date: 20210511 |