CN112766759A - Refueling management method and system for logistics enterprises - Google Patents
Refueling management method and system for logistics enterprises Download PDFInfo
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Abstract
The application provides a refueling management method and a refueling management system for logistics enterprises, wherein the method comprises the following steps: the method comprises the steps that an intelligent vehicle-mounted terminal obtains coordinate data and oil consumption data of a vehicle in a set period; calculating according to the coordinate data to obtain mileage data, and establishing a data curve between the mileage data and the oil consumption data; the intelligent vehicle-mounted terminal calculates the slope values between each section of line segment in the data curve to obtain a plurality of slope values, extracts a first line segment with a positive value from the slope values, collects a first picture of a driver, and determines a first identity of the driver according to the first picture. The technical scheme provided by the application has the advantage of reducing cost.
Description
Technical Field
The application relates to the technical field of internet logistics, in particular to a refueling management method and system for a logistics enterprise.
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 enterprise reports the refueling management based on drivers, and refueling data is incomplete, so that the cost of the logistics enterprise is influenced.
Disclosure of Invention
The embodiment of the application provides a refueling management method for logistics enterprises and related products, which can automatically manage refueling of the logistics enterprises, realize automatic management of refueling data and reduce the cost of the logistics enterprises.
In a first aspect, an embodiment of the present application provides a refueling management method for a logistics enterprise, where the method includes:
the method comprises the steps that an intelligent vehicle-mounted terminal obtains coordinate data and oil consumption data of a vehicle in a set period; calculating according to the coordinate data to obtain mileage data, and establishing a data curve between the mileage data and the oil consumption data;
the intelligent vehicle-mounted terminal calculates the slope values between each section of line segment in the data curve to obtain a plurality of slope values, extracts a first line segment with a positive value from the slope values, collects a first picture of a driver, and determines a first identity of the driver according to the first picture;
the intelligent vehicle-mounted terminal acquires a first time period corresponding to a first line segment, a coordinate value corresponding to the first line segment and a refueling value corresponding to the first line segment, acquires invoice cost corresponding to the refueling value according to calculated cost calculated by the refueling value, and extracts the coordinate value to acquire an identifier of the gas station if the calculated cost is lower than the invoice cost;
the intelligent vehicle-mounted terminal sends an acquisition request to a server corresponding to the identifier, the acquisition request carries the first time period, the intelligent vehicle-mounted terminal receives a video file of a zeroth time period before the first time period sent by the server, the intelligent vehicle-mounted terminal analyzes the video file to determine a video subfile containing the first identity, whether a purchase article exists or not is determined through analyzing the video subfile, and if the purchase article exists, the intelligent vehicle-mounted terminal sends the video subfile, the first identity, the invoice cost and the oil filling value to a data center for storage.
In a second aspect, a refueling management system for a logistics enterprise is provided, the system comprising: the intelligent vehicle-mounted terminal comprises an intelligent vehicle-mounted terminal and a data center, wherein,
the intelligent vehicle-mounted terminal is used for acquiring coordinate data and oil consumption data of the vehicle in a set period; calculating according to the coordinate data to obtain mileage data, and establishing a data curve between the mileage data and the oil consumption data;
the intelligent vehicle-mounted terminal is further used for calculating slope values between each section of line segment in the data curve to obtain a plurality of slope values, extracting a first line segment with a positive value from the slope values, collecting a first picture of the driver by the intelligent vehicle-mounted terminal, and determining a first identity of the driver according to the first picture;
the intelligent vehicle-mounted terminal is also used for acquiring a first time period corresponding to the first line segment, a coordinate value corresponding to the first line segment and a refueling value corresponding to the first line segment, acquiring an invoice expense corresponding to the refueling value according to the calculated expense calculated by the refueling value, and extracting the coordinate value to acquire the identifier of the gas station if the calculated expense is lower than the invoice expense;
the intelligent vehicle-mounted terminal is further used for sending an obtaining request to the server corresponding to the identifier, the obtaining request carries the first time period, the intelligent vehicle-mounted terminal receives a video file of a zeroth time period before the first time period, the video file is sent by the server, the intelligent vehicle-mounted terminal analyzes the video file to determine a video subfile containing the first identity, whether a purchase article exists or not is determined through analysis of the video subfile, and if the purchase article exists, the intelligent vehicle-mounted terminal sends the video subfile, the first identity, the invoice cost and the oil filling value to the data center for storage.
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.
In a fourth aspect, a terminal for performing the method steps provided in the first aspect is provided
The embodiment of the application has the following beneficial effects:
according to the technical scheme, the intelligent vehicle-mounted terminal acquires the coordinate data and the oil consumption data of the vehicle in a set period; calculating mileage data according to the coordinate data, establishing a data curve between the mileage data and fuel consumption data, calculating a slope value between each section of line segment in the data curve by a vehicle-mounted terminal to obtain a plurality of slope values, extracting a positive first line segment from the plurality of slope values, acquiring a first picture of a driver by the intelligent vehicle-mounted terminal, identifying and processing the ear picture to determine a first identity corresponding to the first picture if the first picture is an ear picture, acquiring a first time period corresponding to the first line segment, a coordinate value corresponding to the first line segment and a fuel filling value corresponding to the first line segment by the intelligent vehicle-mounted terminal, acquiring an invoice cost corresponding to the fuel filling value according to the calculated charge of the fuel filling value, extracting the coordinate value to acquire an identifier of the fuel station if the calculated charge is lower than the invoice cost, and sending an acquisition request to a server corresponding to the identifier by the intelligent vehicle-mounted terminal, the acquisition request carries the first time period, the intelligent vehicle-mounted terminal receives a video file of a zeroth time period before the first time period, the video file is sent by the server, the intelligent vehicle-mounted terminal analyzes the video file to determine a video subfile containing the first identity, whether a purchase article exists or not is determined by analyzing the video subfile, and if the purchase article exists, the intelligent vehicle-mounted terminal sends the video subfile, the first identity, the invoice expense and the oil filling value to the data center for storage. Whether can have the purchase article to the navigating mate like this and carry out automatic identification to the automatic evidence that remains has realized the maintenance to the evidence and refuels the automatic management of expense, reduced logistics enterprise's administrative fee and refuel expense, the 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 structural diagram of a refueling management system of a logistics enterprise provided by the present application.
Fig. 2 is a schematic flow chart of a refueling management method for a logistics enterprise according to the present application.
Fig. 3 is a schematic diagram of a data curve provided in 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.
For the verification of the building, due to the complexity of components and drawings, the overall cost accounting is a very complicated matter, and the technical scheme of the application mainly performs the cost accounting on partial components of the building, so that a relevant basis is provided for the overall cost accounting of the building, the building cost accounting efficiency is improved, and the cost accounting time and labor cost are reduced.
Referring to fig. 1, fig. 1 provides a fueling management system for a logistics enterprise, which includes: the system comprises a data center 101 and an intelligent vehicle-mounted terminal 102, wherein the intelligent vehicle-mounted terminal is arranged in a vehicle and can be connected with the data center through a wireless network.
This intelligent vehicle-mounted terminal specifically can include: control circuitry may be included, 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 intelligent in-vehicle terminal 102. 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 intelligent vehicle terminal 102, such as an Internet browsing application, a Voice Over Internet Protocol (VOIP) phone call application, an email application, a media playing application, operating system functions, and so forth. The 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 functionality, operations associated with collecting and generating audio signals, control operations associated with collecting and processing button press event data, and other functions in the smart in-vehicle terminal 102, to name a few.
The intelligent vehicle terminal 102 may include an input-output circuit. The input-output circuit may be used to enable the intelligent in-vehicle terminal 102 to enable input and output of data, i.e., to allow the intelligent in-vehicle terminal 102 to receive data from external devices and also to allow the intelligent in-vehicle terminal 102 to output data from the intelligent in-vehicle terminal 102 to external devices. The input-output circuit may further include a sensor. The sensor can include ultrasonic fingerprint identification module, can also include ambient light sensor, proximity sensor based on light sum electric capacity, 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, and other sensors etc. ultrasonic fingerprint identification module can integrate in the screen below, or, ultrasonic fingerprint identification module can set up in electronic equipment's side or the back, do not do the restriction here, this ultrasonic fingerprint identification module can be used to gather the fingerprint image.
The input-output circuitry may also include one or more display screens, such as a display screen. The display screen can comprise one or a combination of a liquid crystal display screen, an organic light emitting diode display screen, an electronic ink display screen, a plasma display screen and a 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 intelligent vehicle terminal 102 may also include an audio component. The audio component may be used to provide audio input and output functionality for the intelligent in-vehicle terminal 102. The audio components in the intelligent vehicle terminal 102 may include a speaker, a microphone, a buzzer, a tone generator, and other components for generating and detecting sound.
The communication circuit may be used to provide the intelligent in-vehicle terminal 102 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 intelligent in-vehicle terminal 102 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 input commands through the input-output circuitry to control operation of the intelligent vehicle terminal 102, and may use output data of the input-output circuitry to enable receipt of status information and other outputs from the intelligent vehicle terminal 102.
Referring to fig. 2, fig. 2 provides a fueling management method for a logistics enterprise, which is implemented in the fueling management system of the logistics enterprise shown in fig. 1, and the method shown in fig. 2 comprises the following steps:
step S201, the intelligent vehicle-mounted terminal acquires coordinate data and oil consumption data of a vehicle in a set period; calculating according to the coordinate data to obtain mileage data, and establishing a data curve between the mileage data and the oil consumption data;
the setting period may be set by the logistics enterprise, for example, the coordinate data and the oil consumption data are collected every 5 minutes, and for example, the coordinate data and the oil consumption data are collected every 2 minutes.
The calculating of the mileage data by the intelligent vehicle-mounted terminal according to the coordinate data may specifically include:
the intelligent vehicle-mounted terminal determines the ith coordinate value acquired each time and the ith-1 coordinate value acquired last time, calculates the difference value between the two ith-1 coordinate values and the ith coordinate value to obtain the mileage, and traverses all the coordinate values to calculate the mileage to obtain the mileage data. The above i may be the number of times of collection.
The establishing of the data curve between the mileage data and the fuel consumption data may specifically include:
establishing an X axis and a Y axis of a data curve coordinate system, wherein the X axis is mileage, the Y axis is oil consumption, obtaining a first mileage value and a first oil consumption value corresponding to a first period, marking the first mileage value and the first oil consumption value as a first point (a point shown in figure 3) in the data curve coordinate system, traversing all the mileage values and all the oil consumption values corresponding to all the periods, marking the mileage value and the oil consumption value corresponding to each period as a point in the data curve coordinate system, and connecting the adjacent marked points by using a straight line to obtain the data curve.
The data curve is shown in fig. 3, where each black dot in fig. 3 represents a marked dot.
Step S202, the intelligent vehicle-mounted terminal calculates slope values between each section of line segment in the data curve to obtain a plurality of slope values, a first line segment with a positive value is extracted from the slope values, the intelligent vehicle-mounted terminal collects a first picture of a driver, and a first identity of the driver is determined according to the first picture;
the above-mentioned determination of the first identity of the driver from the first picture may be by conventional means, e.g. by face recognition, fingerprint recognition, etc. Of course, the method of human ear recognition described below in the present application may be employed.
Step S203, the intelligent vehicle-mounted terminal obtains a first time period corresponding to the first line segment, a coordinate value corresponding to the first line segment and a refueling value corresponding to the first line segment, obtains an invoice expense corresponding to the refueling value according to the calculated expense calculated by the refueling value, and extracts the coordinate value to obtain an identifier of the gas station if the calculated expense is lower than the invoice expense;
for the invoice cost, the vehicle of the logistics enterprise is refueled and invoices need to be made, and the invoice cost can be obtained by directly obtaining the amount of money corresponding to the invoices which are made.
Step S204, the intelligent vehicle-mounted terminal sends an acquisition request to the server corresponding to the identifier, the acquisition request carries the first time period, the intelligent vehicle-mounted terminal receives a video file of a zeroth time period before the first time period sent by the server, the intelligent vehicle-mounted terminal analyzes the video file to determine a video subfile containing the first identity, whether a purchase article exists or not is determined through analyzing the video subfile, and if the purchase article exists, the intelligent vehicle-mounted terminal sends the video subfile, the first identity, the invoice subfile and the oil filling value to the data center for storage.
The idea of the above scheme is described below, the fueling data for vehicles is always relatively disordered data for logistics enterprises, since most of domestic gas stations are provided with corresponding supermarkets, for example, "easy and quick" for medium and petrochemical industry, products purchased by such supermarkets are invoices that can be directly invoiced, which causes waste of logistics enterprise cost, and thus needs to be managed. Based on the purpose, according to the technical scheme, when the fact that the calculation cost is inconsistent with the invoice cost is found, the corresponding video file is obtained, then the video subfile of the first identity in the video file is extracted, whether the purchased article exists is further identified, if the purchased article exists, the fact that the fuel filling is abnormal is determined, and the video subfile, the first identity, the invoice cost and the fuel filling value are sent to the data center to be stored.
According to the technical scheme, the intelligent vehicle-mounted terminal acquires coordinate data and oil consumption data of a vehicle in a set period; calculating mileage data according to the coordinate data, establishing a data curve between the mileage data and fuel consumption data, calculating a slope value between each section of line segment in the data curve by a vehicle-mounted terminal to obtain a plurality of slope values, extracting a positive first line segment from the plurality of slope values, acquiring a first picture of a driver by the intelligent vehicle-mounted terminal, identifying and processing the ear picture to determine a first identity corresponding to the first picture if the first picture is an ear picture, acquiring a first time period corresponding to the first line segment, a coordinate value corresponding to the first line segment and a fuel filling value corresponding to the first line segment by the intelligent vehicle-mounted terminal, acquiring an invoice cost corresponding to the fuel filling value according to the calculated charge of the fuel filling value, extracting the coordinate value to acquire an identifier of the fuel station if the calculated charge is lower than the invoice cost, and sending an acquisition request to a server corresponding to the identifier by the intelligent vehicle-mounted terminal, the acquisition request carries the first time period, the intelligent vehicle-mounted terminal receives a video file of a zeroth time period before the first time period, the video file is sent by the server, the intelligent vehicle-mounted terminal analyzes the video file to determine a video subfile containing the first identity, whether a purchase article exists or not is determined by analyzing the video subfile, and if the purchase article exists, the intelligent vehicle-mounted terminal sends the video subfile, the first identity, the invoice expense and the oil filling value to the data center for storage. Whether can have the purchase article to the navigating mate like this and carry out automatic identification to the automatic evidence that remains has realized the maintenance to the evidence and refuels the automatic management of expense, reduced logistics enterprise's administrative fee and refuel expense, the cost is reduced.
In an alternative, the calculating the charge according to the fueling value may specifically include:
the intelligent vehicle-mounted terminal extracts the unit price of the corresponding oil product according to the first time period, and the calculation cost is equal to the product of the unit price and the refueling value. For example, if the price of diesel oil is 5.75 yuan/liter and the fuel filling value is 100 liters, the calculation cost is 575 yuan.
In an optional scheme, the analyzing, by the intelligent in-vehicle terminal, the video file to determine the video subfile including the first identity may specifically include:
and the intelligent vehicle-mounted terminal identifies the video file to determine a segment containing the first identity, and splices the segments in time sequence to obtain a video subfile containing the first identity.
The above identification modes can be various, for example, on the premise that the mask is not worn, the identification can be realized through face identification, and for example, the first identity can be determined by adopting the mode of human ear identification of the present application.
The receiving, by the intelligent vehicle-mounted terminal, the video file in the zeroth time period before the first time period sent by the server may specifically include:
the server determines the tail value of the first time period, acquires w minutes (for example, the last 5 minutes or 10 minutes) before the tail value as a zeroth time period, extracts a video file of the zeroth time period, and transmits the video file to the intelligent vehicle-mounted terminal. The transmission can be transmitted through a communication network, and also can be transmitted through wifi or Bluetooth.
The analyzing the video subfile to determine whether there is a purchased article specifically may include:
extracting a multi-frame picture containing a first identity from the video subfile, carrying out region identification on the multi-frame picture to determine a person region and an article region in the multi-frame picture, and if the article region is intersected or overlapped with the person region, determining that the video subfile has a purchased article.
The intersecting or overlapping of the article area and the character area may specifically include:
and if the pixel point region of the article region is intersected or overlapped with the pixel point region of the character region in the picture, determining that the article region is intersected or overlapped with the character region.
The area identification can be realized by using the existing area identification algorithm, and the application does not limit the specific area identification mode.
In an optional scheme, if the first picture is an ear picture, the identifying and processing the ear picture to determine a first identity corresponding to the first picture may include:
adopting artificial neural network to classify and recognize ear pictures to determine sub-pictures of human ear regions, extracting edges of the sub-pictures to obtain the outlines of ears, constructing outline graphs of the edges of the ears, classifying and recognizing the sub-regions to determine the ear hole regions in the sub-regions, constructing a plurality of horizontal equidistant lines and a plurality of vertical equidistant lines in the ear hole regions, and acquiring a plurality of horizontal equidistant lines and the likeObtaining a plurality of horizontal line segments intersecting at the edge line of the ear cavity region from a line, obtaining a plurality of vertical horizontal line segments intersecting at the edge line of the ear cavity region from a plurality of vertical equidistant lines, extracting a first horizontal line segment with the largest length from the plurality of horizontal line segments and a first vertical line segment with the largest length from the plurality of vertical line segments, extracting an intersection O between the first horizontal line segment and the first vertical line segment, determining a coordinate value of the intersection O, marking the intersection O corresponding to the coordinate value from the contour diagram, emitting m (for example, m may be 360 or 720) rays with the intersection O as an endpoint, obtaining a plurality of intersections of the m rays and the contour diagram intersecting with the ear edge line, obtaining a plurality of lengths between the intersection O and the a plurality of intersections, extracting a ray γ corresponding to the largest length value among the a plurality of lengths and an intersection H1, obtaining a plurality of β γ intersections clockwise or counterclockwise of the rays (for example, 100 or 150), obtaining distance values between the intersection point O and the intersection point H1 and beta distance values between the intersection point O and the beta intersection points, and forming distance vectors by the beta +1 distance values according to a clockwise or anticlockwise obtaining sequenceβ+1Extracting preset template vectors, and sequentially intercepting a plurality of distance vectors from the template vectorsβ+1Delta template sub-vectors with the same size, delta template sub-vectors and distance vectorsβ+1And performing subtraction to obtain a plurality of difference vectors, and if the number of zero elements of any one of the plurality of difference vectors is greater than a zero element threshold value, determining that the first identity of the ear picture is the identity corresponding to the template vector. The above α ≦ m because the ear contour may exist only for part of the angles, and therefore its part of the angles does not have intersection points, and α is not larger than m.
The artificial neural network may adopt an existing deep neural network, may also be a support vector machine, and the like, and the performing of the edge extraction may also adopt an existing edge extraction method, for example, extracting an edge by a Canny operator.
The reason for the above-mentioned human ear identification is because to special period, the driver is probably likely to wear the gauze mask, also likely to wear the goggles, certainly in practical application, the driver also can wear sunglasses, because of this reason, face identification or pupil identification can't satisfy identification's requirement, if adopt fingerprint mode or vein mode, firstly, the driver probably wears gloves, in addition, fingerprint mode or vein mode are also not the noninductive identification mode, need driver's cooperation, therefore human ear identification can realize driver's identification promptly.
For a specific identification process, the method adopts a mode of determining a reference point to construct a feature vector of a feature, namely a distance vectorβ+1The reference point is determined as the center point of an ear hole, the ear hole is similar to an ellipse, the center point is defined as the intersection point of a horizontal or vertical maximum length line segment, then the maximum length value is obtained by taking the intersection point as a ray of an end point, the value is taken as the value of the first element of a feature vector, then beta distance values are collected clockwise or anticlockwise, and then the feature vector is constructed.
The application also provides a logistics enterprise's management system that refuels, the system includes: the intelligent vehicle-mounted terminal comprises an intelligent vehicle-mounted terminal and a data center, wherein,
the intelligent vehicle-mounted terminal is used for acquiring coordinate data and oil consumption data of the vehicle in a set period; calculating according to the coordinate data to obtain mileage data, and establishing a data curve between the mileage data and the oil consumption data;
the intelligent vehicle-mounted terminal is further used for calculating slope values between each section of line segment in the data curve to obtain a plurality of slope values, extracting a first line segment with a positive value from the slope values, collecting a first picture of the driver by the intelligent vehicle-mounted terminal, and determining a first identity of the driver according to the first picture;
the intelligent vehicle-mounted terminal is also used for acquiring a first time period corresponding to the first line segment, a coordinate value corresponding to the first line segment and a refueling value corresponding to the first line segment, acquiring an invoice expense corresponding to the refueling value according to the calculated expense calculated by the refueling value, and extracting the coordinate value to acquire the identifier of the gas station if the calculated expense is lower than the invoice expense;
the intelligent vehicle-mounted terminal is further used for sending an obtaining request to the server corresponding to the identifier, the obtaining request carries the first time period, the intelligent vehicle-mounted terminal receives a video file of a zeroth time period before the first time period, the video file is sent by the server, the intelligent vehicle-mounted terminal analyzes the video file to determine a video subfile containing the first identity, whether a purchase article exists or not is determined through analysis of the video subfile, and if the purchase article exists, the intelligent vehicle-mounted terminal sends the video subfile, the first identity, the invoice cost and the oil filling value to the data center for storage.
The intelligent vehicle-mounted terminal or the data center can also execute an alternative or detailed scheme of the embodiment shown in fig. 2, which is not described herein again.
The present application also provides 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 fueling management methods for a logistics enterprise as set forth in the above method embodiments.
Embodiments of the present application also provide a computer program product, which includes a non-transitory computer readable storage medium storing a computer program, and the computer program is operable to cause a computer to execute some or all of the steps of any of the fueling management methods for a logistics enterprise as set forth 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 (7)
1. A refueling management method for logistics enterprises is characterized by comprising the following steps:
the method comprises the steps that an intelligent vehicle-mounted terminal obtains coordinate data and oil consumption data of a vehicle in a set period; calculating according to the coordinate data to obtain mileage data, and establishing a data curve between the mileage data and the oil consumption data;
the intelligent vehicle-mounted terminal calculates the slope values between each section of line segment in the data curve to obtain a plurality of slope values, extracts a first line segment with a positive value from the slope values, collects a first picture of a driver, and determines a first identity of the driver according to the first picture;
the intelligent vehicle-mounted terminal acquires a first time period corresponding to a first line segment, a coordinate value corresponding to the first line segment and a refueling value corresponding to the first line segment, acquires invoice cost corresponding to the refueling value according to calculated cost calculated by the refueling value, and extracts the coordinate value to acquire an identifier of the gas station if the calculated cost is lower than the invoice cost;
the intelligent vehicle-mounted terminal sends an acquisition request to a server corresponding to the identifier, the acquisition request carries the first time period, the intelligent vehicle-mounted terminal receives a video file of a zeroth time period before the first time period sent by the server, the intelligent vehicle-mounted terminal analyzes the video file to determine a video subfile containing the first identity, whether a purchase article exists or not is determined through analyzing the video subfile, and if the purchase article exists, the intelligent vehicle-mounted terminal sends the video subfile, the first identity, the invoice cost and the oil filling value to a data center for storage.
2. The method according to claim 1, wherein the establishing a data curve between the mileage data and the fuel consumption data comprises:
establishing an X axis and a Y axis of a data curve coordinate system, wherein the X axis is mileage, the Y axis is oil consumption, obtaining a first mileage value and a first oil consumption value corresponding to a first period, marking the first mileage value and the first oil consumption value as first points in the data curve coordinate system, traversing all the mileage values and all the oil consumption values corresponding to all the periods, marking the mileage value and the oil consumption value corresponding to each period as one point in the data curve coordinate system, and connecting the adjacent marked points by using a straight line to obtain the data curve.
3. Method according to claim 1, characterized in that said calculation of the cost as a function of the refuelling value comprises in particular:
the intelligent vehicle-mounted terminal extracts the unit price of the corresponding oil product according to the first time period, and the calculation cost is equal to the product of the unit price and the refueling value.
4. The method according to any one of claims 1 to 3, wherein the analyzing, by the intelligent in-vehicle terminal, the video file to determine the video subfile containing the first identity specifically comprises:
and the intelligent vehicle-mounted terminal identifies the video file to determine a segment containing the first identity, and splices the segments in time sequence to obtain a video subfile containing the first identity.
5. The method according to claim 4, wherein the intelligent vehicle-mounted terminal receives the video file of the zeroth time period before the first time period, which is sent by the server, and the analyzing the video subfile to determine whether there is an item to be purchased specifically comprises:
the server determines the tail value of the first time period, acquires w minutes before the tail value as a zeroth time period, extracts a video file of the zeroth time period, and transmits the video file to the intelligent vehicle-mounted terminal;
extracting a multi-frame picture containing a first identity from the video subfile, carrying out region identification on the multi-frame picture to determine a person region and an article region in the multi-frame picture, and if the article region is intersected or overlapped with the person region, determining that the video subfile has a purchased article.
6. A refueling management system for a logistics enterprise, the system comprising: the intelligent vehicle-mounted terminal comprises an intelligent vehicle-mounted terminal and a data center, wherein,
the intelligent vehicle-mounted terminal is used for acquiring coordinate data and oil consumption data of the vehicle in a set period; calculating according to the coordinate data to obtain mileage data, and establishing a data curve between the mileage data and the oil consumption data;
the intelligent vehicle-mounted terminal is further used for calculating slope values between each section of line segment in the data curve to obtain a plurality of slope values, extracting a first line segment with a positive value from the slope values, collecting a first picture of the driver by the intelligent vehicle-mounted terminal, and determining a first identity of the driver according to the first picture;
the intelligent vehicle-mounted terminal is also used for acquiring a first time period corresponding to the first line segment, a coordinate value corresponding to the first line segment and a refueling value corresponding to the first line segment, acquiring an invoice expense corresponding to the refueling value according to the calculated expense calculated by the refueling value, and extracting the coordinate value to acquire the identifier of the gas station if the calculated expense is lower than the invoice expense;
the intelligent vehicle-mounted terminal is further used for sending an obtaining request to the server corresponding to the identifier, the obtaining request carries the first time period, the intelligent vehicle-mounted terminal receives a video file of a zeroth time period before the first time period, the video file is sent by the server, the intelligent vehicle-mounted terminal analyzes the video file to determine a video subfile containing the first identity, whether a purchase article exists or not is determined through analysis of the video subfile, and if the purchase article exists, the intelligent vehicle-mounted terminal sends the video subfile, the first identity, the invoice cost and the oil filling value to the data center for storage.
7. A computer-readable storage medium storing a program for electronic data exchange, wherein the program causes a terminal to perform the method as provided in any one of claims 1-5.
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Effective date of registration: 20221128 Address after: 315800 Room 1309, Room 01, Building 1, No. 55, Hailan Road, Meishan, Beilun District, Ningbo City, Zhejiang Province Patentee after: Sinochem Fangsheng Energy Management Service Co.,Ltd. Address before: 2 / F, building 5, Changyuan new material port engineering technology center, Gaoxin Middle Road, Yuehai street, Nanshan District, Shenzhen, Guangdong 518000 Patentee before: Shenzhen Guangcheng Jierui Technology Co.,Ltd. |