CN112651641A - Method and device for processing portrait management data - Google Patents
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Abstract
The embodiment of the invention relates to a processing method of portrait management data, which comprises the steps of obtaining investigation item information; acquiring survey item data information according to the survey item information; processing the data information of the survey item to obtain data information of a survey item standard; and generating a survey item big data portrait according to the survey item target data information. The method can provide reliable theoretical basis for management decision of the energy supply chain, and the reliability of supply chain management is increased.
Description
Technical Field
The invention relates to the technical field of information processing, in particular to a method and a device for processing portrait management data.
Background
At present, the socialization and marketization degrees of logistics and supply chain management in China are low. Considerable enterprises in China still keep a large and comprehensive operation organization mode and a small and comprehensive operation organization mode, a series of logistics and supply chain activities from raw material acquisition to product sale mainly depend on self-service of internal organizations of the enterprises, and the mode of the logistics and supply chain management service activities mainly based on self-service limits and delays the generation and development of high-efficiency specialized and socialized logistics and supply chain management service requirements of the industrial and commercial enterprises to a great extent.
The petrochemical industry in China has entered a slow development stage after years of high-speed development. The current faces multiple dilemmas of excess capacity, improvement of environmental protection requirements, appearance of new energy and other substitute products, and the frequent fluctuation of commodity price brings about not little impact to markets of petrochemical and energy industries, so that uncertain influence is brought to business development of supply chain management enterprises depending on petrochemical energy commodity transaction.
How to manage the energy supply chain has practical theoretical basis, increase the reliability of the supply chain, prevent the inevitable problems, and control the cost is very critical.
Disclosure of Invention
The invention aims to provide a portrait management data processing method aiming at the defects in the prior art, which obtains survey item data information by acquiring and processing survey item data information, then generates a survey item big data portrait, provides a reliable theoretical basis for management decision of an energy supply chain, and increases the reliability of supply chain management.
To achieve the above object, a first aspect of the embodiments of the present invention provides a method for processing portrait management data, where the method includes:
acquiring survey item information;
acquiring survey item data information according to the survey item information;
processing the survey item data information to obtain survey item data information;
and generating a survey item big data portrait according to the survey item target data information.
Preferably, the processing the survey item data information to obtain survey item data information specifically includes:
preprocessing the survey item data information to obtain processed survey item data information;
and according to a preset data processing format, carrying out format processing on the processed survey item data information to obtain survey item data information.
Preferably, the generating a survey item big data portrait according to the survey item target data information specifically includes:
constructing a multi-dimensional attribute model of the investigation item based on the investigation item target data information;
analyzing the survey item target data information through a survey item multi-dimensional attribute model to obtain a survey item evaluation index;
and generating a survey item big data portrait based on the survey item evaluation index.
Preferably, the method further comprises:
determining the label of the investigation item based on the investigation item big data picture;
and classifying the target data information of the investigation items according to the labels of the investigation items.
Preferably, the survey item information includes refinery information, fleet information, and gas station information.
Preferably, when the survey item information is refinery information, the survey item data information includes: position data information, oil quality data information, price data information, and service quality data information.
A second aspect of the embodiments of the present invention provides a device for processing portrait management data, including:
the processing module is used for acquiring the information of the investigation items;
acquiring survey item data information according to the survey item information;
preprocessing the data information of the investigation item to obtain data information of an investigation item standard;
and generating a survey item big data portrait according to the survey item target data information.
A third aspect of an embodiment of the present invention provides an electronic device, including: a memory, a processor, and a transceiver;
the processor is configured to be coupled to the memory, read and execute instructions in the memory, so as to implement the method steps of the first aspect;
the transceiver is coupled to the processor, and the processor controls the transceiver to transmit and receive messages.
A fourth aspect of embodiments of the present invention provides a computer-readable storage medium storing computer instructions that, when executed by a computer, cause the computer to perform the method of the first aspect.
The method is based on a big data technology, acquires and processes survey item data information to obtain survey item data information, generates a survey item big data portrait, provides a reliable theoretical basis for management decision of an energy supply chain, and increases the reliability of supply chain management.
Drawings
FIG. 1 is a flowchart illustrating a method for processing image management data according to an embodiment of the present invention;
FIG. 2 is a block diagram of a processing apparatus for image management data according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of an electronic device according to a third embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the present invention will be described in further detail with reference to the accompanying drawings, and it is apparent that the described embodiments are only a part of the embodiments of the present invention, not all of the embodiments. 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 invention.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
The method for processing the portrait management data provided by the embodiment of the invention provides a reliable theoretical basis for the management decision of an energy supply chain, and increases the reliability of supply chain management.
Fig. 1 is a flowchart of a processing method of image management data according to an embodiment of the present invention, and the method is described below with reference to fig. 1.
The embodiment of the invention provides a method for processing portrait management data, which mainly comprises the following steps:
specifically, according to survey request information sent by the user terminal, the survey request information is analyzed to obtain requester information and survey item information. The survey item information can be understood as key item information which needs to be known for making energy supply chain management decisions or schemes. In one particular example, the survey item information includes refinery information, fleet information, and gas station information. It is to be understood that the information of the survey item request is only specifically described herein, and is not intended to limit the scope of the present application as long as the survey item related to the energy supply chain management is satisfied.
specifically, since the number of the survey items may be one or more, when the number of the survey items is multiple, the data information corresponding to the survey item is acquired according to the information of the survey item. It should be noted that the survey term data information is understood to be all information related to the survey term. The survey item data information may include third party data, data within the respective energy supply chain related systems, real-time updated data automatically collected over the network.
specifically, the survey item data information is preprocessed to obtain processed survey item data information;
the information quantity of the survey item data information is large and comprises various data information, so that the interference information and the information which does not meet the requirements are removed in the preprocessing, and the processed survey item data information is obtained.
And according to a preset data processing format, carrying out format processing on the processed survey item data information to obtain survey item data information.
The data formats of data information from different sources are different, for example, data is measured in different units, or the same information is displayed in different ways. For the convenience of subsequent analysis and processing, the data information is required to be in a uniform format to obtain survey item data information.
Specifically, the survey item target data information may be understood as formatted survey item key parameter information.
For example, when the survey item information is refinery information, the survey item data information includes: position data information, oil quality data information, price data information, and service quality data information.
In a specific example, when the survey item information is refinery information, the obtained survey item data information includes information of zones of dennan city, 123 buses, a certain refinery, longitude, latitude, good service, work clothes, and work meals. The pre-processed survey data information may include: jonan, longitude, and latitude. Assuming that the preset data processing format is longitude and latitude data, the corresponding address of a certain oil refinery needs to be processed into the longitude and latitude data, and the district number of Jinan city is also processed to obtain the longitude and latitude data of the address.
Specifically, firstly, constructing a multi-dimensional attribute model of the investigation item based on the target data information of the investigation item; the corresponding survey item target data information is different among different survey item information, so that the constructed survey item multi-dimensional attribute models are different.
For example, when the survey item information is refinery information, the corresponding survey item multi-dimensional attribute model may include a comprehensive model of a location dimension, a price dimension, an oil quality dimension, and a quality of service dimension.
And secondly, analyzing the data information of the survey item target through the survey item multi-dimensional attribute model to obtain survey item evaluation indexes.
Specifically, the survey item evaluation index corresponds to the survey item in multiple dimensions.
For example, when the survey item information is refinery information, the survey item target data information is analyzed through the oil quality dimensional model, and the obtained survey item evaluation indexes may include: antiknock property, mechanical impurities and moisture, vapor pressure.
Finally, a survey item big data portrait is generated based on the survey item evaluation index.
Specifically, the survey item big data image can be understood as a multi-dimensional survey item evaluation index system.
The method and the device can also determine the label of the investigation item based on the big data image of the investigation item, and then classify the target data information of the investigation item according to the label of the investigation item. The label of the survey item can be understood as an evaluation index corresponding to the survey item.
In a specific example, when the survey item information is gas station information, the survey item data information may include: location data information, security data information, marketing data information. The tags for the survey items may include longitude, latitude, parking space, security training, average annual inventory, and average annual sales. That is, by the tag, when the survey item target data information is obtained, it is possible to distinguish which category the survey item target data information belongs to, as described above, the annual average stock quantity, and annual average sales quantity belong to the marketing data information.
The portrait management data processing method provided by the embodiment of the invention is based on a big data technology, acquires and processes survey item data information to obtain survey item standard data information, and generates a survey item big data portrait, so that a reliable theoretical basis is provided for management decision of an energy supply chain, and the reliability of supply chain management is increased.
FIG. 2 is a block diagram of a processing device for image management data according to a second embodiment of the present invention, which can be a device capable of implementing the method according to embodiment 1 of the present application, such as a processing device or a chip system for image management data. As shown in fig. 2, the processing apparatus includes:
and the processing module 201 is used for acquiring the survey item information.
The processing module 201 is further configured to obtain survey item data information according to the survey item information;
processing the data information of the survey item to obtain data information of a survey item standard;
and generating a survey item big data portrait according to the survey item target data information.
In a specific implementation manner provided in this embodiment, the processing module 201 is specifically configured to:
preprocessing the survey item data information to obtain processed survey item data information;
and according to a preset data processing format, carrying out format processing on the processed survey item data information to obtain survey item data information.
In another specific implementation manner provided in this embodiment, the processing module 201 is specifically configured to:
constructing a multi-dimensional attribute model of the investigation item based on the target data information of the investigation item;
analyzing the data information of the survey item target through the survey item multi-dimensional attribute model to obtain survey item evaluation indexes;
and generating a survey item big data portrait based on the survey item evaluation index.
In another specific implementation manner provided in this embodiment, the processing module 201 is further configured to:
determining the label of the investigation item based on the big data picture of the investigation item;
and classifying the target data information of the investigation items according to the labels of the investigation items.
In another specific implementation manner provided by this embodiment, the survey item information includes refinery information, fleet information, and gas station information.
In another specific implementation manner provided in this embodiment, when the survey item information is oil refinery information, the survey item data information includes: position data information, oil quality data information, price data information, and service quality data information.
The image management data processing apparatus provided in the embodiment of the present invention may execute the method steps in the foregoing method embodiments, and the implementation principle and the technical effect are similar, which are not described herein again.
It should be noted that the division of the modules of the above apparatus is only a logical division, and the actual implementation may be wholly or partially integrated into one physical entity, or may be physically separated. And these modules can be realized in the form of software called by processing element; or may be implemented entirely in hardware; and part of the modules can be realized in the form of calling software by the processing element, and part of the modules can be realized in the form of hardware. For example, the determining module may be a processing element separately set up, or may be implemented by being integrated in a chip of the apparatus, or may be stored in a memory of the apparatus in the form of program code, and the function of the determining module is called and executed by a processing element of the apparatus. Other modules are implemented similarly. In addition, all or part of the modules can be integrated together or can be independently realized. The processing element described herein may be an integrated circuit having signal processing capabilities. In implementation, each step of the above method or each module above may be implemented by an integrated logic circuit of hardware in a processor element or an instruction in the form of software.
For example, the above modules may be one or more integrated circuits configured to implement the above methods, such as: one or more Application Specific Integrated Circuits (ASICs), or one or more microprocessors (DSPs), or one or more Field Programmable Gate Arrays (FPGAs), etc. For another example, when some of the above modules are implemented in the form of a Processing element scheduler code, the Processing element may be a general-purpose processor, such as a Central Processing Unit (CPU) or other processor that can invoke the program code. As another example, these modules may be integrated together and implemented in the form of a System-on-a-chip (SOC).
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the application to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored on a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website, computer, server, or data center to another website, computer, server, or data center via wire (e.g., coaxial cable, fiber optics, Digital Subscriber Line (DSL)), or wireless (e.g., infrared, wireless, bluetooth, microwave, etc.). DVD), or semiconductor media (e.g., Solid State Disk (SSD)), etc.
Fig. 3 is a schematic structural diagram of an electronic device according to a third embodiment of the present invention. As shown in fig. 3, the electronic device 300 may include: a processor 31 (e.g., CPU), a memory 32, a transceiver 33; the transceiver 33 is coupled to the processor 31, and the processor 31 controls the transceiving operation of the transceiver 33. Various instructions may be stored in memory 32 for performing various processing functions and implementing method steps performed by the electronic device of embodiments of the present invention. Preferably, the electronic device according to an embodiment of the present invention may further include: a power supply 34, a system bus 33, and a communication port 36. The system bus 33 is used to implement communication connections between the elements. The communication port 36 is used for connection communication between the electronic device and other peripherals.
The system bus mentioned in fig. 3 may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The system bus may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown, but this does not mean that there is only one bus or one type of bus. The communication interface is used for realizing communication between the database access device and other equipment (such as a client, a read-write library and a read-only library). The Memory may include a Random Access Memory (RAM) and may also include a Non-Volatile Memory (Non-Volatile Memory), such as at least one disk Memory.
The Processor may be a general-purpose Processor, including a central processing unit CPU, a Network Processor (NP), and the like; but also a digital signal processor DSP, an application specific integrated circuit ASIC, a field programmable gate array FPGA or other programmable logic device, discrete gate or transistor logic, discrete hardware components.
It should be noted that the embodiment of the present invention also provides a computer-readable storage medium, which stores instructions that, when executed on a computer, cause the computer to execute the method and the processing procedure provided in the above-mentioned embodiment.
The embodiment of the invention also provides a chip for running the instructions, and the chip is used for executing the method and the processing process provided by the embodiment.
Embodiments of the present invention also provide a program product, which includes a computer program stored in a storage medium, from which the computer program can be read by at least one processor, and the at least one processor executes the methods and processes provided in the embodiments.
Those of skill would further appreciate that the various illustrative components and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied in hardware, a software module executed by a processor, or a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM powertrain control method, or any other form of storage medium known in the art.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are merely exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (9)
1. A method of processing portrait management data, the method comprising:
acquiring survey item information;
acquiring survey item data information according to the survey item information;
processing the survey item data information to obtain survey item data information;
and generating a survey item big data portrait according to the survey item target data information.
2. The image management data processing method of claim 1, wherein processing the survey item data information to obtain survey item data information specifically comprises:
preprocessing the survey item data information to obtain processed survey item data information;
and according to a preset data processing format, carrying out format processing on the processed survey item data information to obtain the survey item data information.
3. The method of claim 1, wherein generating a survey item big data representation based on the survey item target data information comprises:
constructing a multi-dimensional attribute model of the investigation item based on the investigation item target data information;
analyzing the survey item target data information through a survey item multi-dimensional attribute model to obtain a survey item evaluation index;
and generating a survey item big data portrait based on the survey item evaluation index.
4. The method of processing portrait management data of claim 1, further comprising:
determining the label of the investigation item based on the investigation item big data picture;
and classifying the target data information of the investigation items according to the labels of the investigation items.
5. The representation management data processing method of claim 1, wherein the survey item information includes refinery information, fleet information, and gas station information.
6. The image management data processing method of claim 1, wherein when the survey item information is refinery information, the survey item data information includes: location data information, oil quality data information, price data information, and quality of service data information.
7. An image management data processing apparatus, comprising:
the processing module is used for acquiring the information of the investigation items;
acquiring survey item data information according to the survey item information;
preprocessing the data information of the investigation item to obtain data information of an investigation item standard;
and generating a survey item big data portrait according to the survey item target data information.
8. An electronic device, comprising: a memory, a processor, and a transceiver;
the processor is used for being coupled with the memory, reading and executing the instructions in the memory to realize the method steps of any one of claims 1-6;
the transceiver is coupled to the processor, and the processor controls the transceiver to transmit and receive messages.
9. A computer-readable storage medium having stored thereon computer instructions which, when executed by a computer, cause the computer to perform the method of any of claims 1-6.
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