Intelligent heat supply charging system

Abstract

The invention discloses a heat supply intelligent charging system. The system mainly comprises a user interaction and payment module, a data management and analysis module, a business process and approval module and a system safety and maintenance module. And the user interaction and payment module provides a multi-terminal access point to realize convenient payment operation. And the data management and analysis module is responsible for adding, deleting, modifying and checking user data, generating a statistical report and supporting decision making. The business process and approval module manages the business process of the heat supply service, provides an approval function, and ensures the compliance and efficiency of the process. And the system safety and maintenance module monitors the running state of the system. According to the system, by integrating the advanced information technology, automation and intelligence of heat supply charging are achieved, and the service quality and user experience of heat supply enterprises are improved.

Description

Technical Field

[0001] The present invention relates to the field of heating technology, and in particular to a heating intelligent charging system. Background Art

[0002] With the acceleration of urbanization and the improvement of residents' living standards, heating services have become one of the indispensable infrastructures in northern cities in winter. Traditional heating services have many problems, such as low heating efficiency, serious energy waste, inconvenience for users to pay, and difficulty for heating companies to charge fees. In order to solve these problems, existing technologies provide intelligent heating control systems based on the Internet of Things, which collect heating data and conduct monitoring and alarm to improve the intelligence level of the heating system.

[0003] However, existing technologies still have shortcomings in the collection of heating fees, such as the lack of differentiated and intelligent collection strategies, which leads to low collection efficiency and low user satisfaction. In addition, some smart heating systems still have problems of waste of heating resources and reduced indoor comfort in actual operation, which is mainly due to the large difference between the preset operating baseline and the suitable temperature for the human body. Summary of the invention

[0004] Based on this, the embodiment of the present application provides a heating intelligent charging system, which can not only realize the intelligent management of heating services, but also improve the collection efficiency of heating fees through refined collection strategies, while ensuring the user's comfortable experience. Through the technical solution of the present invention, the service quality of heating enterprises can be effectively improved, user satisfaction can be enhanced, and the sustainable development of the heating industry can be promoted.

[0005] The present application provides a heating intelligent charging system, which includes:

[0006] A user interaction and payment module, which is used to provide an interface for payment through multiple terminal access points; wherein the multiple terminal access points include at least WeChat official accounts, WeChat mini-programs, and Alipay mini-programs;

[0007] The data management and analysis module is used to manage user data after the user accesses the system, including adding, modifying, deleting and querying data, and provides report statistics function to generate various statistical reports;

[0008] The business process and approval module is used to manage the business process of heating services, including network access management, user management, fee management, and bill management, and provides approval functions for business processes;

[0009] The system security and maintenance module is used to monitor the system's operating status, including server status and system load, to ensure stable system operation.

[0010] Optionally, the user interaction and payment module specifically includes: integrating multiple payment interfaces to provide a user-friendly interface, through which users can query bills, pay fees, and obtain electronic invoices.

[0011] Optionally, the user interaction and payment module also includes the use of OAuth 2.0 security protocol for identity authentication to ensure the security of user data. During the payment process, encryption technology is used to ensure transaction security, and it is connected to the APIs of major payment platforms to achieve payment automation.

[0012] Optionally, the data management and analysis module specifically includes: storing and managing user data, including user information, payment records, and service requests; using a database management system to store data, and adopting data backup and recovery strategies to prevent data loss. The data analysis part will use data warehouses and business intelligence tools to generate reports to support decision making.

[0013] Optionally, the business process and approval module specifically includes: implementing workflow management to automate the business process of heating services; integrating BPMN models to design and monitor workflows; the approval function will allow administrators and authorized personnel to approve various requests in the system, including user account opening and fee adjustment.

[0014] Optionally, the system security and maintenance module specifically includes: implementing a multi-layer security strategy, including firewalls, intrusion detection systems, and security information and event management systems to prevent unauthorized access and network attacks;

[0015] In terms of system maintenance, automated monitoring tools are implemented to monitor the status of servers and network devices in real time to ensure high availability of the system.

[0016] Optionally, the system further includes an interface and integration module for providing an interface with third-party software to achieve data interaction and integration, as well as data import and export.

[0017] Optionally, the system also includes an intelligent customer service and support module for integrating natural language processing and machine learning technologies to provide an intelligent customer service chatbot, where users can interact with the robot via text or voice to obtain information about payment, service status, and troubleshooting.

[0018] Optionally, the system also includes an energy consumption monitoring and analysis module for integrating with the user's smart metering equipment, monitoring energy consumption in real time, collecting and analyzing data to identify patterns and anomalies in energy usage, and thus providing personalized energy-saving recommendations; wherein time series analysis and forecasting models are used to predict energy demand and provide strategies for optimizing energy usage.

[0019] Optionally, the system further comprises an electronic archive management module for identifying and processing scanned documents by integrating OCR technology and converting them into an editable and searchable electronic format.

[0020] The beneficial effects brought by the technical solution provided by the embodiment of the present application include at least:

[0021] (1) By complying with the three-level requirements of information registration and protection, the smart heating billing system can provide users with higher standards of security, enhance users’ trust in the platform, and thus improve user satisfaction and loyalty.

[0022] (2) The electronic archive management module realizes the rapid digitization of paper documents through the integration of OCR technology and high-definition scanners, simplifies the storage and management process of archives, improves retrieval efficiency, and reduces the consumption of human resources.

[0023] (3) The system design takes into account possible future expansion and integration of third-party services, enabling the system to adapt to changing business needs and technological advances, ensuring long-term sustainable development. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the implementation methods of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for the implementation methods or the description of the prior art. Obviously, the drawings in the following description are only exemplary, and for ordinary technicians in this field, other implementation drawings can be derived from the provided drawings without creative work.

[0025] Figure 1 A block diagram of a smart heating charging system provided in an embodiment of the present application. DETAILED DESCRIPTION

[0026] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0027] The terms "comprise", "have" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or apparatus comprising a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may also include other steps or units that are not explicitly listed but are inherent to these processes, methods, products or apparatuses, or steps or units added based on further optimization schemes conceived by the present invention.

[0028] With the acceleration of urbanization and the improvement of residents' living standards, heating services have become one of the indispensable infrastructures in northern cities in winter. Traditional heating services have many problems, such as low heating efficiency, serious energy waste, inconvenience for users to pay, and difficulty for heating companies to charge fees. In order to solve these problems, existing technologies provide intelligent heating control systems based on the Internet of Things, which collect heating data and conduct monitoring and alarm to improve the intelligence level of the heating system.

[0029] However, existing technologies still have shortcomings in the collection of heating fees, such as the lack of differentiated and intelligent collection strategies, which leads to low collection efficiency and low user satisfaction. In addition, some smart heating systems still have problems of waste of heating resources and reduced indoor comfort in actual operation, which is mainly due to the large difference between the preset operating baseline and the suitable temperature for the human body.

[0030] Specifically, please refer to Figure 1 , which shows a block diagram of a heating intelligent charging system provided in an embodiment of the present application, the system comprising:

[0031] The user interaction and payment module is used to provide an interface for payment through multiple terminal access points; wherein the multiple terminal access points include at least WeChat official accounts, WeChat mini-programs, and Alipay mini-programs.

[0032] Specifically, the module will integrate multiple payment interfaces, including WeChat official accounts, WeChat mini-programs, and Alipay mini-programs, to provide a user-friendly interface. Users can check bills, pay fees, and obtain electronic invoices through these platforms. The system will use security protocols such as OAuth 2.0 for identity authentication to ensure the security of user data. During the payment process, the system will use encryption technology to ensure transaction security and connect with the APIs of major payment platforms to achieve payment automation.

[0033] The data management and analysis module is used to manage user data after the user accesses the system, including adding, modifying, deleting and querying data, and provides report statistics function to generate various statistical reports.

[0034] Specifically, the module is responsible for storing and managing user data, including user information, payment records, service requests, etc. It will use database management systems (such as MySQL, MongoDB) to store data and adopt data backup and recovery strategies to prevent data loss. The data analysis part will use data warehouses and business intelligence tools (such as PowerBI or Tableau) to generate reports to support decision making. In addition, the module will also implement data mining algorithms to predict user payment behavior and system operation trends.

[0035] The business process and approval module is used to manage the business process of heating services, including network access management, user management, fee management, and bill management, and provides approval functions for business processes.

[0036] Specifically, the module will implement workflow management to automate the business process of heating services. It will integrate the BPMN (Business Process Model and Notation) model to design and monitor workflows to ensure compliance and efficiency of the process. The approval function will allow administrators and authorized personnel to approve various requests in the system, such as user account opening, fee adjustment, etc. In addition, the module will also provide an audit tracking function to record detailed logs of all business activities for easy supervision and auditing.

[0037] The system security and maintenance module is used to monitor the system's operating status, including server status and system load, to ensure stable system operation.

[0038] Specifically, the module focuses on the security and stability of the system. It will implement a multi-layer security strategy, including firewalls, intrusion detection systems (IDS), and security information and event management (SIEM) systems to prevent unauthorized access and network attacks. In terms of system maintenance, automated monitoring tools (such as Nagios or Zabbix) will be implemented to monitor the status of servers and network devices in real time to ensure the high availability of the system. In addition, the module will also perform regular system updates and patch management to protect the system from known vulnerabilities.

[0039] In an optional embodiment of the present application, the system further includes:

[0040] Intelligent Customer Service and Support Module: This module will integrate natural language processing (NLP) and machine learning technologies to provide intelligent customer service chatbots. Users can interact with the robot through text or voice to obtain information about payment, service status, and troubleshooting. The robot will be trained based on a preset FAQ library and user behavior patterns to provide accurate answers and suggestions.

[0041] Energy consumption monitoring and analysis module: This module will integrate with users' smart metering devices (such as smart thermostats and electricity meters) to monitor energy consumption in real time. It will collect and analyze data to identify patterns and anomalies in energy usage to provide personalized energy-saving recommendations. This module will use time series analysis and forecasting models to predict energy demand and provide strategies to optimize energy use. In addition, it will support users to participate in demand response programs to further reduce energy costs.

[0042] Electronic archive management module: This module will support multiple fuzzy retrieval methods to improve the flexibility and accuracy of archive retrieval. By integrating OCR technology, this module can recognize and process scanned documents and convert them into editable and searchable electronic formats. In addition, this module will be connected to scanning devices such as high-speed scanners to achieve rapid document image data collection and electronic archive management. In this way, the efficiency of archive management can be greatly improved, the storage and management costs of paper documents can be reduced, and convenient archive retrieval and utilization services can be provided.

[0043] From the above, it can be seen that the innovation of this application lies in:

[0044] (1) Realize multi-terminal charging, including WeChat official account payment, WeChat life payment, WeChat mini program payment, Alipay mini program payment, and Alipay life payment.

[0045] (2) A complete heating operation and charging system can divide heating users into different levels, support multiple fuzzy search methods, and connect with high-speed scanners to realize electronic archiving. It can manage heating charges, refunds, subsidies, liquidated damages, fee increases and decreases, and supporting fees, including discounts, exemptions, and other charging work.

[0046] (3) The deployment is completed in compliance with the Ministry of Public Security’s Level 3 information registration protection classification requirements, ensuring the security of user information and data on the Internet payment platform.

[0047] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0048] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be construed as limiting the scope of the patent application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent application shall be subject to the attached claims.

Claims

1. A heating intelligent charging system, characterized in that: The system comprises: A user interaction and payment module, which is used to provide an interface for payment through multiple terminal access points; wherein the multiple terminal access points include at least WeChat official accounts, WeChat mini-programs, and Alipay mini-programs; The data management and analysis module is used to manage user data after the user accesses the system, including adding, modifying, deleting and querying data, and provides report statistics function to generate various statistical reports; The business process and approval module is used to manage the business process of heating services, including network access management, user management, fee management, and bill management, and provides approval functions for business processes; The system security and maintenance module is used to monitor the system's operating status, including server status and system load, to ensure stable system operation.

2. The system according to claim 1, characterized in that The user interaction and payment module specifically includes: integrating multiple payment interfaces to provide a user-friendly interface, through which users can query bills, pay fees, and obtain electronic invoices.

3. The system according to claim 2, characterized in that The user interaction and payment module also includes the use of OAuth2.0 security protocol for identity authentication to ensure the security of user data. During the payment process, encryption technology is used to ensure transaction security, and it is connected with the APIs of major payment platforms to achieve payment automation.

4. The system according to claim 1, characterized in that The data management and analysis module specifically includes: storing and managing user data, including user information, payment records, and service requests; using a database management system to store data, and adopting data backup and recovery strategies to prevent data loss. The data analysis part will use data warehouses and business intelligence tools to generate reports to support decision making.

5. The system according to claim 1, characterized in that The business process and approval module specifically includes: implementing workflow management to automate the business process of heating services; integrating BPMN models to design and monitor workflows; and the approval function will allow administrators and authorized personnel to approve various requests in the system, including user account opening and fee adjustment.

6. The system according to claim 1, characterized in that The System Security and Maintenance module specifically includes: implementing a multi-layered security strategy, including firewalls, intrusion detection systems, and security information and event management systems to prevent unauthorized access and cyber attacks; In terms of system maintenance, automated monitoring tools are implemented to monitor the status of servers and network devices in real time to ensure high availability of the system.

7. The system according to claim 1, characterized in that The system also includes an interface and integration module, which is used to provide an interface with third-party software to achieve data interaction and integration, as well as data import and export.

8. The system according to claim 1, characterized in that The system also includes an intelligent customer service and support module, which is used to integrate natural language processing and machine learning technologies to provide an intelligent customer service chatbot. Users can interact with the robot through text or voice to obtain information about payment, service status and troubleshooting.

9. The system according to claim 1, characterized in that The system also includes an energy consumption monitoring and analysis module for integrating with the user's smart metering equipment, monitoring energy consumption in real time, collecting and analyzing data to identify patterns and anomalies in energy usage, and thus providing personalized energy-saving recommendations; wherein time series analysis and forecasting models are used to predict energy demand and provide strategies for optimizing energy usage.

10. The system according to claim 1, characterized in that The system also includes an electronic archive management module for recognizing and processing scanned documents by integrating OCR technology and converting them into editable and searchable electronic formats.

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