Finance and accounting cost dynamic monitoring system

Abstract

The invention discloses a financial and accounting cost dynamic monitoring system which integrates a plurality of modules including a data center and server module, a network communication module, a data acquisition module, an edge computing module, a terminal equipment module, a backup and disaster recovery module and a physical safety and environment control module. Real-time acquisition, processing, analysis and monitoring of financial cost data are realized. The system adopts an edge computing technology to preprocess data, so that the load of a data center is reduced, and the data processing efficiency is improved. And meanwhile, the system provides real-time monitoring and alarming functions, so that the safety of financial data and the stability of the system are ensured. In addition, the system also supports the user to carry out data access and decision support through the terminal equipment, so that the user experience is improved. The system is suitable for enterprises and organizations needing real-time monitoring and accurate cost control, and the efficiency and accuracy of financial management can be remarkably improved.

Description

Technical Field

[0001] The present invention relates to the field of financial accounting technology, and in particular to a financial accounting cost dynamic monitoring system. Background Art

[0002] In traditional financial management systems, cost monitoring often relies on periodic financial statements and manual data entry, which is not only inefficient but also difficult to achieve real-time monitoring and rapid response to market changes. With the development of the Internet of Things (IoT), edge computing, and cloud computing technologies, it has become possible to achieve real-time collection, processing, and analysis of financial data. However, most existing systems focus on single data collection or processing, lacking an integrated solution to achieve full process automation from data collection to analysis and decision-making. In addition, data security and system stability are also important challenges facing existing systems. Summary of the invention

[0003] The purpose of the present invention is to provide a dynamic monitoring system for accounting costs.

[0004] To achieve the above object, the present invention is implemented according to the following technical solutions:

[0005] The financial cost dynamic monitoring system of the present invention includes a data center and server module, a network communication module, a data acquisition module, an edge computing module, a terminal device module, a backup and disaster recovery module, and a physical security and environmental control module; the data center and server module are connected to each module through a network.

[0006] The network communication module acts as the hub of the data flow, transmitting data from the acquisition device to the data center and server module, and passing information from the server or edge device to the terminal device module; the edge computing module is closely connected to the data acquisition module and is responsible for local processing of real-time data. The terminal device module is connected to the data center, server module, and edge computing module to display data and support real-time operations. The backup and disaster recovery module provides security for the data center, while the physical security module protects the physical hardware of the entire system.

[0007] The data center and server module are the core processing units of the system, responsible for data storage, processing and management, and are also the data centralized processing center of each functional module of the system; it supports most of the computing tasks of the system and ensures the efficiency, stability and security of data processing;

[0008] The network communication module is the data transmission core of the system, ensuring fast and stable data exchange between various hardware modules, supporting internal and external secure connections, and ensuring data transmission quality and efficient collaboration of the system;

[0009] The data acquisition module is the data input source of the system, responsible for collecting raw data related to finance and costs from various channels and transmitting it to the data center or edge computing module;

[0010] The edge computing module is responsible for localized data processing, pre-processing some data close to the data source, reducing the load on the data center and the delay in data transmission, ensuring real-time performance and system efficiency;

[0011] The terminal device module provides an interface for users, allowing financial and management personnel to access the system, view real-time cost data, financial statements and related analysis results, and perform operations and make decisions;

[0012] The backup and disaster recovery module is the data security guarantee of the system, responsible for regular backup, disaster recovery and data protection, ensuring that the system can resume normal operation in the event of an accident;

[0013] The physical security and environmental control module ensures the physical security of the system and the stability of the operating environment, including access control to the data center and hardware facilities, power support, cooling and environmental monitoring, ensuring that the system is safe and reliable at the physical level.

[0014] The monitoring method of the financial accounting cost dynamic monitoring system is characterized by comprising the following steps:

[0015] S1: Data collection:

[0016] S1.1: Data source identification: Identify all data collection modules, including IoT sensors, POS systems, production equipment monitoring, financial software interfaces, and document scanner data sources;

[0017] S1.2: Data collection configuration: Configure the data collection module to ensure that the connection with the network communication module is stable and the system can receive data from various devices in real time; set the collection frequency and data format according to the type of data source;

[0018] S1.3: Data upload: Upload the collected raw data to the data center or edge computing module through the network communication module;

[0019] S2: Data preprocessing and edge computing:

[0020] S2.1: Data filtering and cleaning: The edge computing module is responsible for the preliminary processing of the locally collected data, including removing noise, correcting erroneous data, and unifying the data format;

[0021] S2.2: Real-time data processing and decision support: Real-time processing of time-sensitive or important data;

[0022] S2.3: Data transmission: The pre-processed data is transmitted to the data center for further analysis and storage;

[0023] S3: Data storage and analysis:

[0024] S3.1: Data storage: The data center and server module receive the processed data from the edge computing module and the data acquisition module and store it in an efficient database system;

[0025] S3.2: Data analysis and processing: The system automatically performs preset cost accounting, financial analysis, budget control, and trend forecasting functions;

[0026] S3.3: Data synchronization and feedback: After the analysis is completed, the results are synchronized to the terminal device module for financial personnel and management personnel to view and make decisions based on the system's analysis results;

[0027] S4: Real-time monitoring and alarm:

[0028] S4.1: Real-time data monitoring: Real-time monitoring of various financial and cost indicators through terminal equipment modules;

[0029] S4.2: Anomaly detection and warning: The system continuously analyzes data and sets thresholds. When abnormal data is found, the system sends warning information to relevant personnel via SMS, email or mobile application;

[0030] S4.3: Alarm management: For early warning and alarm information, the system generates alarm records and provides historical backtracking function;

[0031] S5: System maintenance and optimization:

[0032] S5.1: Backup and recovery: The backup and disaster recovery module is responsible for regularly backing up the data center data to the backup device or cloud to ensure data security;

[0033] S5.2: Environmental monitoring and physical security management: The physical security and environmental control module monitors the physical environment status of the data center in real time;

[0034] S5.3: Security policy and access control: Regularly check the system's access control policy to ensure that only authorized personnel can access the system's core data and management permissions;

[0035] S5.4: Performance optimization and expansion: Data centers and server modules are regularly evaluated for performance, and system optimization and upgrades are performed for high-concurrency access scenarios.

[0036] The beneficial effects of the present invention are:

[0037] The present invention is a dynamic monitoring system for accounting costs. Compared with the prior art, the present invention achieves the following technical effects by integrating a data center and server module, a network communication module, a data acquisition module, an edge computing module, a terminal device module, a backup and disaster recovery module, and a physical security and environmental control module:

[0038] Real-time data collection and processing: The system can collect financial and cost data from various channels in real time and pre-process it in the edge computing module to reduce the load on the data center and improve the real-time and efficiency of data processing.

[0039] Comprehensive data analysis and decision support: The data center and server modules conduct in-depth analysis of the collected data, providing functions such as cost accounting, financial analysis, budget control and trend forecasting to help managers make more accurate decisions.

[0040] System security and stability: The backup and disaster recovery module ensures data security, and the physical security and environmental control module ensures the physical security of the system and the stability of the operating environment, thereby improving the system's reliability and risk resistance.

[0041] User-friendly terminal access: The terminal device module provides users with an intuitive interface, making it convenient for financial and management personnel to access the system, view real-time data and analyze results, improving user experience and work efficiency.

[0042] System maintenance and optimization: The system regularly conducts performance evaluation and optimization to ensure long-term stable operation of the system and its ability to adapt to the growth of business scale and changes in computing needs. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 It is a system structure block diagram of the present invention. DETAILED DESCRIPTION

[0044] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments. The illustrative embodiments and descriptions of the present invention are used to explain the present invention but are not intended to limit the present invention.

[0045] like Figure 1As shown: The financial cost dynamic monitoring system of the present invention includes a data center and server module, a network communication module, a data acquisition module, an edge computing module, a terminal device module, a backup and disaster recovery module, and a physical security and environmental control module; the data center and server module are connected to each module through a network, and the network communication module acts as the hub of the data flow, transmitting data from the acquisition device to the data center and server module, and passing information from the server or edge device to the terminal device module; the edge computing module is closely connected to the data acquisition module, and is responsible for local processing of real-time data. The terminal device module is connected to the data center and server module, and the edge computing module, displays data and supports real-time operations. The backup and disaster recovery module provides security for the data center, and the physical security module protects the physical hardware of the entire system.

[0046] The data center and server module are the core processing units of the system, responsible for data storage, processing and management, and are also the data centralized processing center of each functional module of the system; it supports most of the computing tasks of the system and ensures the efficiency, stability and security of data processing; specific responsibilities:

[0047] Data storage and management: Data centers store massive amounts of financial data, including cost information, transaction records, budgets, and financial statements. Use efficient database management systems (such as SQL, NoSQL) to organize and retrieve data.

[0048] Computing and analysis: The server can handle complex financial computing tasks, including cost accounting, budget control, profit analysis, forecasting analysis, etc. For large-scale data processing, high-performance processors (such as multi-core CPUs or GPUs) can be used to accelerate analysis.

[0049] Resource scheduling and load balancing: Manage and allocate system resources to ensure stable system operation in high-concurrency scenarios. The load balancer will evenly distribute processing tasks to avoid server overload.

[0050] Cooperate with the backup system: regularly send data to the disaster recovery module for backup to ensure data security.

[0051] The network communication module is the data transmission core of the system, ensuring fast and stable data exchange between various hardware modules, supporting internal and external security connections, and ensuring data transmission quality and efficient collaboration of the system; Specific responsibilities:

[0052] Data transmission: responsible for data transmission between modules (such as data acquisition equipment, servers, terminal devices, etc.). High-bandwidth routers and switches can ensure real-time and stability.

[0053] Security: Protect data in transit through firewalls, encryption protocols (such as SSL / TLS) and other technologies to prevent hacker attacks and data leaks.

[0054] Network management and optimization: Monitor network traffic, optimize data transmission paths, and ensure efficient use of network resources. Load balancers and gateways can adjust transmission paths based on traffic conditions to avoid network bottlenecks.

[0055] Remote connection support: Through VPN and encrypted channels, remote users are supported to securely access the system, especially for non-local financial personnel or auditors.

[0056] The data acquisition module is the data input source of the system, responsible for collecting raw data related to finance and costs from various channels and transmitting it to the data center or edge computing module; specific responsibilities:

[0057] Real-time data collection: Through IoT sensors (such as temperature sensors, weight sensors, RFID tags, etc.), data from the company's production, warehousing, logistics and other business processes are collected in real time.

[0058] Transaction data entry: Through the POS system or payment terminal, the financial transaction data of sales or purchases is collected in real time and uploaded to the system for cost accounting and account updating.

[0059] Document digitization: Use scanners and OCR technology to convert paper invoices, contracts, vouchers and other documents into digital data for the system to perform financial analysis.

[0060] Automated data entry: Automatically collect cost information from various business systems to reduce errors and delays in manual entry.

[0061] The edge computing module is responsible for localized data processing, pre-processing some data close to the data source, reducing the load on the data center and the delay in data transmission, ensuring real-time performance and system efficiency; Specific responsibilities:

[0062] Local data preprocessing: Edge devices can perform simple preprocessing (such as filtering, compression, cleaning, etc.) on raw data to reduce the amount of data and upload only valuable data to the data center.

[0063] Real-time decision-making: For time-sensitive data (such as production line monitoring data and inventory monitoring data), edge computing devices can process it locally and output decision results in a timely manner to improve response speed.

[0064] Reduce center pressure: By processing data at edge nodes, the amount of data uploaded to the data center is reduced, reducing the processing pressure on the server.

[0065] The terminal device module provides an interface for users, allowing financial and management personnel to access the system, view real-time cost data, financial statements and related analysis results, and perform operations and make decisions; Specific responsibilities:

[0066] Data access and analysis: Terminal devices (such as PCs, laptops, tablets, mobile phones, etc.) allow financial personnel to access the system's core data and reports through a graphical user interface (GUI) or customized applications.

[0067] Mobile access: Financial personnel can access the system in real time from any location through mobile devices, receive early warning information, view reports, and maintain efficient remote work.

[0068] Real-time decision support: Financial personnel can make decisions on terminal devices based on real-time data provided by the system, supporting the company's rapid response capabilities.

[0069] The backup and disaster recovery module is the data security guarantee of the system. It is responsible for regular backup, disaster recovery and data protection to ensure that the system can resume normal operation in the event of an accident. Specific responsibilities:

[0070] Data backup: Regularly copy data in the data center to a backup storage device or cloud to ensure that the data remains safe even if a server fails.

[0071] Disaster recovery: When a serious failure occurs in a data center or a module, the disaster recovery system will enable backup data and quickly restore system functions to reduce downtime and business losses.

[0072] Version management: Regular backup and version control ensure that if data is damaged or lost, you can restore to the most recent correct version.

[0073] Secure storage: Data backup not only prevents hardware failure, but also prevents data loss due to cyber attacks (such as ransomware).

[0074] The physical security and environmental control module ensures the physical security of the system and the stability of the operating environment, including access control, power support, cooling and environmental monitoring of data centers and hardware facilities, ensuring that the system is safe and reliable at the physical level. Specific responsibilities:

[0075] Access control: Control the physical access rights of the data center or computer room through access control systems (such as biometrics, card swiping systems, etc.) to prevent unauthorized entry.

[0076] Environmental monitoring: Monitor the temperature, humidity and other environmental conditions of the data center to ensure that the equipment is in the best working condition and avoid hardware damage caused by overheating, excessive humidity, etc.

[0077] Power protection: Use uninterruptible power supply (UPS) and backup power supply to prevent power outages from affecting the server and ensure continuous operation of the system.

[0078] Video surveillance: Use cameras to monitor the security of data centers and other critical facilities to prevent physical attacks.

[0079] The monitoring method of the financial accounting cost dynamic monitoring system of the present invention is characterized by comprising the following steps:

[0080] S1: Data collection:

[0081] S1.1: Data source identification: Identify all data collection modules, including IoT sensors, POS systems, production equipment monitoring, financial software interfaces, and document scanner data sources;

[0082] S1.2: Data collection configuration: Configure the data collection module to ensure that the connection with the network communication module is stable and the system can receive data from various devices in real time; set the collection frequency and data format according to the type of data source (such as physical sensor data, sales data, production data, etc.);

[0083] S1.3: Data upload: Upload the collected raw data to the data center or edge computing module through the network communication module; ensure the stability and security of the transmission, and all transmission processes should be protected by encryption protocols (such as SSL / TLS).

[0084] S2: Data preprocessing and edge computing:

[0085] S2.1: Data filtering and cleaning: The edge computing module is responsible for the preliminary processing of the locally collected data, including removing noise, correcting erroneous data, and unifying the data format; ensuring that the original data has undergone necessary cleaning before being transmitted to the data center to reduce the system load.

[0086] S2.2: Real-time data processing and decision support: Real-time processing of time-sensitive or important data (such as production line fault warnings, inventory status, etc.); the edge computing module can make instant decisions locally and send the results to the terminal device module so that financial personnel or management can respond quickly.

[0087] S2.3: Data transmission: transmit pre-processed data (such as analyzed production costs, inventory information, etc.) to the data center for further analysis and storage; ensure low latency and high efficiency when uploading data.

[0088] S3: Data storage and analysis:

[0089] S3.1: Data storage: The data center and server module receive the processed data from the edge computing module and the data acquisition module, and store it in an efficient database system (such as a relational database, a distributed storage system, etc.). At the same time, the data is redundantly backed up to ensure data security.

[0090] S3.2: Data analysis and processing: The system automatically performs preset cost accounting, financial analysis, budget control, and trend forecasting functions; through machine learning algorithms, data mining and other technologies, it analyzes financial and cost data in real time and generates relevant reports and decision-making recommendations.

[0091] S3.3: Data synchronization and feedback: After the analysis is completed, the results are synchronized to the terminal device module for financial personnel and management personnel to view and make decisions based on the system's analysis results; the system should support the generation of detailed financial statements, cost analysis reports, budget reports, etc. on demand.

[0092] S4: Real-time monitoring and alarm:

[0093] S4.1: Real-time data monitoring: Real-time monitoring of various financial and cost indicators through terminal equipment modules. The system interface should display key data, such as real-time cost, budget usage, expenditure of each business link, production efficiency, etc.

[0094] S4.2: Anomaly detection and early warning: The system continuously analyzes data and sets thresholds. When abnormal data is found (such as abnormal cost increase, insufficient inventory, production line failure, etc.), the system sends early warning information to relevant personnel via SMS, email or mobile application;

[0095] S4.3: Alarm management: For early warning and alarm information, the system generates alarm records and provides historical backtracking functions. The alarm management system can support classification and priority division, making it convenient for financial personnel or management to handle problems in layers.

[0096] S5: System maintenance and optimization:

[0097] S5.1: Backup and recovery: The backup and disaster recovery module is responsible for regularly backing up the data center data to the backup device or cloud to ensure data security. The backup cycle can be set according to the needs of the enterprise, such as daily, weekly or monthly automatic backup. If the system fails or data is lost, the disaster recovery system is immediately started for data recovery.

[0098] S5.2: Environmental monitoring and physical security management: The physical security and environmental control module monitors the physical environment of the data center in real time, such as temperature, humidity, power supply, etc., to ensure that the equipment is in a safe state. If an environmental abnormality occurs (such as overheating, power outage, etc.), the system will issue an alarm to remind maintenance personnel to deal with it in time.

[0099] S5.3: Security policy and access control: Regularly check the system's access control policy to ensure that only authorized personnel can access the system's core data and management permissions; including audit logs, permission management, and identity authentication (such as two-factor authentication) to prevent unauthorized access.

[0100] S5.4: Performance optimization and expansion: Data centers and server modules are regularly evaluated for performance, and system optimization and upgrades are performed for high concurrent access scenarios. Ensure that network communication, computing, and storage resources can be dynamically expanded to adapt to the growth of business scale and changes in computing needs.

[0101] The technical solution of the present invention is not limited to the above-mentioned specific embodiments. All technical variations made according to the technical solution of the present invention fall within the protection scope of the present invention.

Claims

1. A dynamic monitoring system for accounting costs, characterized in that: It includes data center and server module, network communication module, data acquisition module, edge computing module, terminal device module, backup and disaster recovery module, physical security and environmental control module; the data center and server module are connected to each module through the network, and the network communication module acts as the hub of the data flow, transmitting data from the acquisition device to the data center and server module, and passing the information from the server or edge device to the terminal device module; The edge computing module is closely connected to the data acquisition module and is responsible for local processing of real-time data. The terminal device module is connected to the data center, server module, and edge computing module to display data and support real-time operations. The backup and disaster recovery module provides security for the data center, while the physical security module protects the physical hardware of the entire system.

2. The financial cost dynamic monitoring system according to claim 1 is characterized in that: The data center and server module are the core processing units of the system, responsible for data storage, processing and management, and are also the data centralized processing center of each functional module of the system; it supports most of the computing tasks of the system and ensures the efficiency, stability and security of data processing; The network communication module is the data transmission core of the system, ensuring fast and stable data exchange between various hardware modules, supporting internal and external secure connections, and ensuring data transmission quality and efficient collaboration of the system; The data acquisition module is the data input source of the system, responsible for collecting raw data related to finance and costs from various channels and transmitting it to the data center or edge computing module; The edge computing module is responsible for localized data processing, pre-processing some data close to the data source, reducing the load on the data center and the delay in data transmission, ensuring real-time performance and system efficiency; The terminal device module provides an interface for users, allowing financial and management personnel to access the system, view real-time cost data, financial statements and related analysis results, and perform operations and make decisions; The backup and disaster recovery module is the data security guarantee of the system, responsible for regular backup, disaster recovery and data protection, ensuring that the system can resume normal operation in the event of an accident; The physical security and environmental control module ensures the physical security of the system and the stability of the operating environment, including access control to the data center and hardware facilities, power support, cooling and environmental monitoring, ensuring that the system is safe and reliable at the physical level.

3. A monitoring method of the dynamic monitoring system for accounting costs as claimed in claim 2, characterized in that: The following steps are involved: S1: Data collection: S1.1: Data source identification: Identify all data collection modules, including IoT sensors, POS systems, production equipment monitoring, financial software interfaces, and document scanner data sources; S1.2: Data collection configuration: Configure the data collection module to ensure that the connection with the network communication module is stable and the system can receive data from various devices in real time; set the collection frequency and data format according to the type of data source; S1.3: Data upload: Upload the collected raw data to the data center or edge computing module through the network communication module; S2: Data preprocessing and edge computing: S2.1: Data filtering and cleaning: The edge computing module is responsible for the preliminary processing of the locally collected data, including removing noise, correcting erroneous data, and unifying the data format; S2.2: Real-time data processing and decision support: Real-time processing of time-sensitive or important data; S2.3: Data transmission: The pre-processed data is transmitted to the data center for further analysis and storage; S3: Data storage and analysis: S3.1: Data storage: The data center and server module receive the processed data from the edge computing module and the data acquisition module and store it in an efficient database system; S3.2: Data analysis and processing: The system automatically performs preset cost accounting, financial analysis, budget control, and trend forecasting functions; S3.3: Data synchronization and feedback: After the analysis is completed, the results are synchronized to the terminal device module for financial personnel and management personnel to view and make decisions based on the system's analysis results; S4: Real-time monitoring and alarm: S4.1: Real-time data monitoring: Real-time monitoring of various financial and cost indicators through terminal equipment modules; S4.2: Anomaly detection and warning: The system continuously analyzes data and sets thresholds. When abnormal data is found, the system sends warning information to relevant personnel via SMS, email or mobile application; S4.3: Alarm management: For early warning and alarm information, the system generates alarm records and provides historical backtracking function; S5: System maintenance and optimization: S5.1: Backup and recovery: The backup and disaster recovery module is responsible for regularly backing up the data center data to the backup device or cloud to ensure data security; S5.2: Environmental monitoring and physical security management: The physical security and environmental control module monitors the physical environment status of the data center in real time; S5.3: Security policy and access control: Regularly check the system's access control policy to ensure that only authorized personnel can access the system's core data and management permissions; S5.4: Performance optimization and expansion: Data centers and server modules are regularly evaluated for performance, and system optimization and upgrades are performed for high-concurrency access scenarios.

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