Private car public intelligent metering system based on multi-source data and electronic fence
By integrating multi-source data from in-vehicle intelligent terminals and cloud servers, and combining electronic fences to automatically identify official trips, the issues of accuracy, fairness, and privacy protection in measuring private vehicle usage expenses have been resolved, achieving efficient enterprise management.
Patent Information
- Application Number
- CN202511611053.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-05
- Publication Date
- 2026-02-10
AI Technical Summary
The existing model for measuring expenses related to private vehicles used for business purposes cannot accurately measure or fairly compensate for such expenses. It also presents problems such as moral hazard and high management costs, and fails to protect employee privacy.
The system uses in-vehicle intelligent terminals to collect multi-source data, combined with GPS/BeiDou positioning, OBD interface, IMU and 4G/5G communication, and performs intelligent trip identification and multi-dimensional cost calculation through cloud servers. It also uses electronic fences to automatically determine official trips and separate private trips, achieving accurate cost measurement and privacy protection.
It enables accurate and fair cost calculation, reduces management costs, minimizes the risk of false reporting, protects employee privacy, and improves management efficiency and corporate operations.
Smart Images
Figure CN121505700A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the field of new generation information technology and intelligent manufacturing technology, in particular to a private car public intelligent metering system based on multi-source data and electronic fence. The system integrates Internet of Things terminal (vehicle-mounted intelligent terminal), mobile Internet (user interaction platform), cloud computing (cloud data processing server) and big data analysis (multi-dimensional cost calculation engine, trip intelligent identification module, etc.) technology to build an end-to-end system solution from data collection to management application to meet the complex needs of enterprise private car public cost management. BACKGROUND
[0002] In the enterprise operation scene, the phenomenon of private car public is very common. In order to reasonably compensate the cost of private car public of employees, enterprises usually adopt various cost metering and subsidy modes, but these traditional modes have many inconveniences and accounting drawbacks.
[0003] The current common fixed subsidy mode is that the enterprise pays a fixed amount of subsidy to the employee every month. However, this mode cannot reflect the principle of "more work, more pay", which is unfair to employees who use the car less, and may also cause unnecessary expenditure for the enterprise. Moreover, this mode is decoupled from business, and the subsidy cost cannot be associated with specific projects or trips, which is not conducive to the accurate cost accounting of the enterprise.
[0004] The mileage subsidy mode is to calculate the subsidy according to the driving mileage reported by the employee at a fixed unit price (such as X yuan per kilometer). This mode relies heavily on manual reporting of mileage data, and there is a great moral risk. The authenticity and accuracy of the mileage data are difficult to effectively guarantee, and it is easy for employees to report false mileage to obtain more subsidies. In addition, this mode uses a uniform unit price, which cannot distinguish different road conditions and cannot reflect the additional fuel consumption cost caused by high-speed fees, congestion, etc., resulting in inaccurate and unscientific cost metering.
[0005] The bill real reporting and real settlement mode requires employees to report and settle expenses with invoices such as fuel, parking and road fees. However, this mode has a very high management cost, and financial personnel need to audit a large number of bills, which is extremely tedious. At the same time, this mode has a large arbitrage space, and employees may use private use bills for reimbursement, making it difficult for the enterprise to effectively control the cost.
[0006] With the development of fine enterprise management and the higher requirements for cost control and employee rights protection, the above traditional modes cannot meet the needs of enterprise private car public cost metering and management. Therefore, there is an urgent need for a private car public cost metering system that can accurately meter costs, ensure fairness, improve management efficiency and protect employee privacy to solve the many problems existing in the prior art. SUMMARY
[0007] In order to solve the above problems, the application provides a private car public intelligent metering system based on multi-source data and electronic fence, aiming to provide a scientific, efficient, fair and safe private car public cost management solution for enterprises.
[0008] The technical scheme adopted by the application is: The vehicle-mounted intelligent terminal is installed on the private car public vehicle and is used for collecting vehicle operation data, including a GPS / Beidou positioning module, an OBD interface module, an inertial measurement unit (IMU) and a 4G / 5G communication module. The cloud data processing server is used for receiving and processing the data uploaded by the vehicle-mounted terminal, including a travel intelligent recognition module, a multi-dimensional cost calculation engine and an enterprise rule configuration module. The user interaction platform includes an employee applet / APP and an enterprise management background and is used for realizing the interactive operation of employees and enterprises.
[0009] Preferably, the GPS / Beidou positioning module in the vehicle-mounted intelligent terminal is used for acquiring the position, speed and time information of the vehicle in real time and generating a driving track; the OBD interface module is used for reading accurate data such as engine speed, fuel consumption, driving mileage and fault codes from the vehicle ECU; the inertial measurement unit (IMU) is used for collecting vehicle acceleration and angular velocity data to assist in judging the road conditions; and the 4G / 5G communication module is used for wirelessly transmitting the collected data to the cloud server after encryption.
[0010] Preferably, the travel intelligent recognition module in the cloud data processing server automatically recognizes whether a trip is a public trip based on positioning data, time stamps and a preset "public destination" electronic fence through an algorithm and strips private trip data.
[0011] Preferably, the multi-dimensional cost calculation engine adopts the following model for comprehensive cost calculation: Energy consumption cost is calculated based on the actual fuel consumption (or power consumption) data read by the OBD and the real-time oil price; Mileage depreciation cost is calculated based on the public driving mileage and the per-kilometer depreciation coefficient determined by the vehicle type; Road condition additional cost is calculated based on the congestion duration and the number of frequent acceleration and deceleration times identified based on the IMU data and GPS speed data to make a weighted correction to the energy consumption cost; Explicit fee association is realized by recognizing the parking fee and road toll tickets uploaded by the employee through image recognition technology (OCR) and automatically associating them to the corresponding public trip.
[0012] Preferably, the enterprise rule configuration module allows the enterprise administrator to set cost calculation parameters, public destination electronic fences and available vehicle type restrictions, wherein the cost calculation parameters include the per-kilometer depreciation coefficient and the congestion additional coefficient.
[0013] Preferably, the employee applet / APP in the user interaction platform is used for employees to submit official trip applications, take and upload bills, view trip trajectories and expense details, and confirm reimbursement amounts; the enterprise management background is used for enterprise financial and management personnel to audit expenses, configure rules, and generate multi-dimensional expense analysis reports.
[0014] Preferably, the system innovatively combines OBD real-time fuel consumption, GPS mileage, IMU road condition data and OCR bill recognition through a multi-source data fusion measurement model, and constructs a multi-dimensional, dynamic and accurate expense measurement model.
[0015] Preferably, the trip intelligent recognition and stripping algorithm based on the electronic fence automatically judges official trips and strips private trips through the preset official place electronic fence, effectively protecting the privacy of employees.
[0016] Preferably, the system realizes full-process automation from trip recognition, data collection, expense calculation to report generation, greatly reducing the work burden of financial and employee personnel and improving management efficiency.
[0017] Preferably, the system also includes a data security and privacy protection mechanism to ensure that all uploaded data is encrypted and only the identified official trips are calculated and stored, without monitoring the entire life trajectory of employees.
[0018] The beneficial effects of the present application are: compared with the traditional private car public expense measurement and subsidy mode, the private car public intelligent measurement system based on multi-source data and electronic fence has many significant beneficial effects, as follows: The traditional fixed subsidy mode cannot reflect the principle of "more work, more pay", and the mileage subsidy mode uses a unified unit price and cannot accurately distinguish road condition costs. The present application innovatively combines OBD real-time fuel consumption, GPS mileage, IMU road condition data and OCR bill recognition to construct a multi-dimensional, dynamic and accurate expense measurement model. Based on the real fuel consumption and actual road conditions, the cost is measured, such as the congestion duration and frequent acceleration and deceleration times identified according to the IMU data and GPS speed data, which are used to correct the energy consumption cost, making the expense calculation result more scientific and fair, and making both the enterprise and the employee convinced, effectively solving the problems of rough measurement and unfairness in the traditional mode.
[0019] The traditional bill real reporting and real settlement mode has high management cost, and financial staff needs to audit a large number of bills, and the work is tedious. The present application realizes the full-process automation from travel recognition, data collection, cost calculation to report generation. The vehicle-mounted intelligent terminal automatically collects vehicle operation data and encrypts and transmits to the cloud server, the travel intelligent recognition module of the cloud data processing server automatically recognizes official travel, the multi-dimensional cost calculation engine automatically calculates the cost, the user interaction platform facilitates the staff to submit the application and upload the bill, and the enterprise management background can quickly audit the cost and generate multi-dimensional cost analysis report, so that the work burden of the financial staff and the staff is greatly reduced, and the management efficiency is improved.
[0020] The traditional mileage subsidy mode depends on manual reporting of mileage data, and there is a moral risk of false reporting of mileage, and the bill real reporting and real settlement mode also has a arbitrage space that the staff uses private bills for reimbursement. In the present application, all official travels have trajectory maps and data traceability, the driving trajectory generated by the GPS / Beidou positioning module and the detailed data record can effectively prevent false reporting of mileage and false reimbursement, reduce the financial risk of the enterprise, and ensure the transparency and standardization of the cost management of the enterprise.
[0021] In the traditional mode, the whole travel of the staff may be monitored in the cost measurement process, and there is a risk of leakage of the privacy of the staff. In the present application, the travel intelligent recognition and stripping algorithm based on the electronic fence is used, the official place electronic fence is preset, the system can automatically judge the official travel and strip the private travel data, only the official travel recognized is accounted and stored, the whole life track of the staff does not need to be monitored, the privacy of the staff is effectively protected, and the core pain point of leakage of the privacy of the staff is solved.
[0022] The present application provides multi-dimensional data analysis report for the enterprise, and the enterprise management background can generate reports such as department cost statistics and project cost accounting. Based on these accurate data support, the enterprise can optimize the vehicle use policy, control the travel cost, reasonably allocate resources, and improve the operation management level and the scientific nature of the management decision of the enterprise.
[0023] The present application organically integrates the Internet of Things terminal, mobile Internet, cloud computing and big data analysis technology, provides an End-to-End system solution from data collection to management application, instead of a single tool or method. The system-level integrated solution can better meet the complex needs of the enterprise private car public cost management, and realize seamless connection and efficient cooperation of each link. BRIEF DESCRIPTION OF DRAWINGS
[0024] Figure 1 It is a schematic diagram of the system architecture and technical implementation path of the present application. DETAILED DESCRIPTION
[0025] The specific embodiments of the private car public intelligent metering system based on multi-source data and electronic fence of the application are described in detail below in combination with the drawings.
[0026] As shown in Figure 1 The technical implementation path of the private car public intelligent metering system of the application and the interaction between the parts are as follows: Vehicle-mounted intelligent terminal part: shows the hardware composition of OBD interface module, GPS / Beidou positioning module, IMU sensor, etc., and how they work together to collect and transmit data.
[0027] Cloud data processing part: describes how the cloud server receives, stores and processes data from the vehicle-mounted intelligent terminal, including key links such as trip intelligent recognition and multi-dimensional cost calculation.
[0028] User interaction platform part: shows how the mobile application provides functions such as trip application, bill upload, cost query, etc. for users, as well as data security and privacy protection measures.
[0029] Enterprise management background part: describes how the management background provides functions such as cost audit, report generation, policy configuration, etc. for enterprises, as well as multi-dimensional data analysis tools.
[0030] System integration and expansion part: shows how the system integrates with the existing systems of enterprises, and provides API interface for secondary development and function expansion.
[0031] Through Figure 1 The technology roadmap, the overall architecture, the technical implementation path and the interaction between the parts of the private car public intelligent metering system of the application can be clearly understood, which provides strong support for the development, implementation and maintenance of the system.
[0032] Embodiment: The private car public intelligent metering system of the application mainly consists of vehicle-mounted intelligent terminal, cloud data processing server, user interaction platform and enterprise management background. Each part realizes real-time data transmission and interaction through technologies such as Internet of Things, mobile Internet and cloud computing, and together completes the accurate metering and management of private car public cost.
[0033] The vehicle-mounted intelligent terminal of the embodiment is implemented as follows: Hardware composition: OBD interface module: used to connect the vehicle OBD interface to read the vehicle fuel consumption data in real time.
[0034] GPS / Beidou positioning module: used to obtain real-time position information and driving track of the vehicle.
[0035] IMU sensor: Used to collect data such as acceleration and angular velocity during vehicle movement to identify road conditions (such as congestion, frequent acceleration and deceleration).
[0036] Encrypted communication module: The collected data is encrypted using national cryptographic standard SM4 and other encryption algorithms to ensure data transmission security.
[0037] Power management module: Provides stable power to in-vehicle intelligent terminals and supports low-power operation after the vehicle is turned off.
[0038] Data acquisition and processing: The OBD interface module periodically reads vehicle fuel consumption data and transmits it to the cloud server via an encrypted communication module.
[0039] The GPS / BeiDou positioning module acquires vehicle location information in real time, generates driving trajectory data, and transmits it to the cloud simultaneously.
[0040] The IMU sensor continuously collects dynamic data during vehicle operation for road condition identification and sends the identification results to the cloud.
[0041] In this embodiment, the cloud data processing server operates as follows: Regarding data reception and storage: The cloud server receives fuel consumption, location, trajectory, and traffic data from the in-vehicle intelligent terminal via an encrypted communication protocol. A distributed database is used to store massive amounts of data, ensuring efficient data reading and writing and long-term data retention.
[0042] Regarding intelligent trip recognition: Based on preset electronic fences for official business locations, the system automatically identifies official trips through algorithms. When a vehicle enters or leaves the electronic fence area, the system records the start and end points of the trip. Combined with GPS trajectory data and IMU traffic data, the trip is further verified and corrected to ensure the accuracy of official trip recognition.
[0043] Regarding multi-dimensional cost calculation: A multi-dimensional cost calculation model is constructed based on OBD fuel consumption data, GPS mileage data, and IMU traffic data. Weighted adjustments are made for traffic conditions such as congestion duration and frequency of acceleration and deceleration to calculate the actual energy consumption cost. Finally, a cost calculation report is generated by combining OCR receipt recognition results (such as toll fees and parking fees).
[0044] In this embodiment, the user interaction platform is implemented as follows: Mobile application development: Develop mobile applications for iOS and Android platforms for employee use. Provide functions such as trip application, ticket upload, and expense inquiry, allowing employees to operate conveniently anytime, anywhere.
[0045] Data security and privacy protection: Data is transmitted using secure protocols such as HTTPS to ensure the security of user data during transmission. User-uploaded tickets are encrypted and stored to prevent data leakage. Data access permissions are strictly limited, and relevant data is only accessible to authorized users.
[0046] In this embodiment, the enterprise management backend is implemented as follows: Regarding the development of the back-end management system: Develop a web-based management back-end for enterprise administrators. It should provide functions such as expense approval, report generation, and policy configuration to support comprehensive expense management for enterprises.
[0047] Regarding multi-dimensional data analysis: We generate multi-dimensional reports such as departmental expense statistics and project cost accounting to provide data support for enterprise decision-making. We also provide data visualization tools to help enterprises intuitively understand the distribution of expenses.
[0048] Regarding system integration and expansion: It supports integration with existing enterprise ERP, financial, and other systems, achieving seamless data exchange. It provides API interfaces to facilitate secondary development and functional expansion for enterprises.
[0049] In summary, this embodiment provides a private vehicle usage cost measurement system based on IoT, mobile internet, cloud computing, and big data analytics technologies. It can be widely applied to various aspects of corporate vehicle management, such as accurate cost measurement, intelligent trip identification, cost analysis, and employee privacy protection, providing a system-level solution for optimizing corporate vehicle usage policies and controlling travel costs.
Claims
1. A private vehicle public smart metering system based on multi-source data and electronic fences, characterized in that, include: The vehicle-mounted intelligent terminal, installed on private and public vehicles, is used to collect vehicle operation data, including a GPS / BeiDou positioning module, an OBD interface module, an inertial measurement unit (IMU), and a 4G / 5G communication module; The cloud-based data processing server is used to receive and process data uploaded by the vehicle terminal, including a trip intelligent recognition module, a multi-dimensional cost calculation engine, and an enterprise rule configuration module. The user interaction platform, including employee mini-programs / apps and enterprise management backends, is used to enable interaction between employees and the enterprise.
2. The intelligent metering system for private vehicles used in public spaces based on multi-source data and electronic fences according to claim 1, characterized in that, The GPS / BeiDou positioning module in the vehicle-mounted intelligent terminal is used to acquire the vehicle's location, speed, and time information in real time and generate a driving trajectory; the OBD interface module is used to read precise data such as engine speed, fuel consumption, mileage, and fault codes from the vehicle's ECU; the inertial measurement unit (IMU) is used to collect vehicle acceleration and angular velocity data to assist in judging road conditions; and the 4G / 5G communication module is used to encrypt the collected data and wirelessly transmit it to the cloud server.
3. The intelligent metering system for private vehicles based on multi-source data and electronic fences according to claim 1, characterized in that, The intelligent trip identification module in the cloud data processing server automatically identifies whether a trip is an official trip based on location data, timestamps, and preset "official destination" electronic fences, and separates private trip data.
4. The intelligent metering system for private vehicles based on multi-source data and electronic fences according to claim 1, characterized in that, The multi-dimensional cost calculation engine uses the following model for comprehensive cost calculation: Energy consumption cost is calculated based on actual fuel consumption (or electricity consumption) data read by OBD and real-time fuel prices; Mileage loss cost is calculated based on official driving mileage and a depreciation factor per kilometer determined by the vehicle model; Additional road condition costs are weighted and adjusted for energy consumption costs based on congestion duration and frequency of acceleration and deceleration identified by IMU and GPS speed data. Explicit expense association uses image recognition (OCR) technology to identify parking fee and toll receipts uploaded by employees and automatically associates them with the corresponding official business trips.
5. The intelligent metering system for private vehicles used in public spaces based on multi-source data and electronic fences according to claim 1, characterized in that, The enterprise rules configuration module allows enterprise administrators to set cost calculation parameters, electronic fences for official destinations, and restrictions on available vehicle models. The cost calculation parameters include depreciation coefficients per kilometer and congestion surcharges.
6. The intelligent metering system for private vehicles used in public spaces based on multi-source data and electronic fences according to claim 1, characterized in that, The employee mini-program / APP in the user interaction platform is used by employees to submit business trip applications, take and upload receipts, view trip itineraries and expense details, and confirm reimbursement amounts. The enterprise management backend is used by enterprise finance and management personnel to review expenses, configure rules, and generate multi-dimensional expense analysis reports.
7. A private vehicle public smart metering system based on multi-source data and electronic fence as described in claim 1, characterized in that, The system innovatively combines OBD real-time fuel consumption, GPS mileage, IMU traffic data, and OCR ticket recognition through a multi-source data fusion metering model, constructing a multi-dimensional, dynamic, and accurate cost metering model.
8. A private vehicle public smart metering system based on multi-source data and electronic fence as described in claim 3, characterized in that, The electronic fence-based intelligent trip identification and separation algorithm can automatically identify official trips and separate private trips by setting up electronic fences for official locations, effectively protecting employee privacy.
9. A private vehicle public smart metering system based on multi-source data and electronic fence as described in claim 1, characterized in that, The system automates the entire process from trip identification, data collection, cost calculation to report generation, greatly reducing the workload of finance and employees and improving management efficiency.
10. A private vehicle public smart metering system based on multi-source data and electronic fence according to any one of claims 1 to 9, characterized in that, The system also includes data security and privacy protection mechanisms to ensure that all uploaded data is encrypted and that only identified official business trips are accounted for and stored, without monitoring employees' entire life trajectory.