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The Application of Big Data in the Analysis of the Operation of Stations at Gas Stations
Regarding the definition of “big dataâ€, everyone’s opinions are not the same. Ultimately, big data means a collection of large amounts of data, and all kinds of data are uniformly acquired, stored, managed, and analyzed to get what we need. Data or value points. The significance of big data lies not in the large amount of data, but in how to extract meaningful data from a large amount of data and optimize the data to achieve its value in professional fields.
In the field of security, as the density of front-end point deployments is getting higher and higher, the amount of video data acquired through video is growing rapidly, and security big data applications are gradually becoming a follow-up trend. In the security industry, the acquisition and storage of big data has gradually been completed with the deployment of points, cloud storage, and cloud computing. However, for data applications, how to extract effective data from unstructured video data Structured data, how to integrate big data applications into our solutions is an important direction for our current research.
According to the "Outline for Action for the Promotion of Big Data Development" issued by the State Council, the systematic deployment of big data development work is a strategic and programmatic document for the country to comprehensively promote the development and application of big data and build a strong data country. Through the integration of big data and cloud computing, Internet of Things, and mobile Internet, a new generation of information technology will be developed to explore new formats and new models for the coordinated development of big data and traditional industries, promote the transformation and upgrading of traditional industries and the development of emerging industries, and cultivate new economies. The growth point will eventually form a batch of products, systems and solutions that meet the major application needs of big data, and establish a safe and credible big data technology system so that big data products and services will reach the international advanced level and the domestic market share will increase significantly.
Industry application requirements analysis
The gas station is an indispensable part of our daily life. Every day, the number of gas stations, the number of people entering and leaving the car, and the amount of data on live video recording are very large. In the early days, our application of video was limited to the safety of the site. Management and control, if there is a sudden accident, can check the on-site situation, but the post-event video will be covered, unable to further apply the data, and have an impact on the operation and management of the gas station. In view of this, we start from the front-end equipment, back-end software, and combined with the problems encountered in the current business process encountered in gas stations to explore the application of big data in gas stations.
At present, the main business needs of the gas station business application are divided into the following three points:
Basic Security - Safeguarding Security
As an important supporting facility of the society, gas stations are widely seen in cities, and as a high-risk site, the frequency of vicious incidents such as the arson of gas stations has gradually increased. Therefore, it is necessary to realize full coverage of important operating areas, cash register areas, convenience stores, etc. of gas stations. Monitor and control the people/cars entering and leaving the gas station. At the same time, the tracking of tanker vehicles is timely.
Smart Application - Optimization Management
Through intelligent means, the vehicle attributes such as body color, vehicle models, vehicle brands, license plates and other structured data are extracted to analyze the data such as the filling rate of the gas station and the real-time load of the gas station to assist the operation and management of the gas station.
The structural data of the gas station personnel such as face, human attributes, and behaviors are extracted to analyze whether the operation of the employees of the gas station is standardized, and the site staff of the gas station are managed in a unified manner.
Data Mining - Upgrade Services
Through the analysis of the structured data of people/vehicles, we analyzed the refueling frequency and non-oil consumption habits of gas station customers to provide customers with quality services.
Big Data Application Construction
According to the analysis of the status quo of the construction of gas stations and the requirements of big data applications, the research direction of the final confirmed application of big data is “license plate/face/consumer big data interactionâ€. The main construction requirements include:
3.1 Front-end acquisition equipment
In the application of big data, the first step is the collection of data. In the security project, the data collection equipment mainly depends on the video surveillance. Unlike the gas station HD video surveillance, the video capture equipment is more. In the direction of smart development, some devices can achieve structured data collection at the front end.
Front-end acquisition devices that are mainly used in gas stations include:
Panoramic surveillance camera
Through the panoramic camera, panoramic monitoring of the refueling operation area can collect the whole process of the vehicle from entering the gas station to go out for convenient inspection afterwards, and can also track the vehicle trajectory.
License Plate Recognition Camera
It can directly extract the data such as license plate, vehicle brand, car body color and vehicle model from the video screen and store it with structured data.
Heat statistics camera
The heat statistics system is mainly used in non-oil product sales areas such as gas station supermarkets and convenience stores. It can analyze the locations of supermarkets where people are most densely populated and are most concerned, so that the most profitable products can be placed in these locations.
3.2 Cloud Big Data Analysis
In the age of big data, we need to sort and organize the data of massive data, and use the data after collation to analyze the actual problems encountered in the business. In the gas station business application, big data is divided into three categories, one is vehicle attribute big data; the other is human characteristics big data, including heat analysis, passenger flow analysis, and face big data; the three types are behavioral characteristic data, Including abnormal behavior big data, standard operating big data and so on.
3.3 Business Applications
Gas station big data business application is mainly divided into four parts, including marketing management, operations analysis, staff management and security management.
Marketing Management
Marketing management mainly analyzes the data of people, cars, passenger flow, etc. to understand the consumption habits of stationers and achieve accurate marketing of oil products and non-oil products.
Operational analysis
Operational analysis mainly relies on vehicle big data, assists the operation of gas stations, and improves the operation efficiency of gas stations through the management and optimization of processes during the operation of gas stations.
Staff management
Through the employee behavioral big data, assist station chiefs and provincial and municipal sales companies to assess the work of employees.
Safety management
Finally, Big Data also needs to guarantee the safety of gas stations. In addition to post-mortem inspections, using big data intelligence analysis, we can perform pre-warning of gas station site safety and on-site standardization operations, greatly reducing the workload of workers and ensuring work safety.
IV. Summary and Prospect
Through in-depth excavation and application of vehicle data, personnel data, and consumption data at the gas station, and relying on big data application technologies to realize data interactions and assist fine gas station marketing and innovation operations, it is the main direction for gas station construction in the next stage. Smart gas station construction must consider and face problems. Through the analysis of the application of big data at gas stations, it is hoped that a different path will be opened up for the construction of gas stations in the next stage.