General P2C intelligent service system and method based on communication tower

Abstract

The invention discloses a universal P2C intelligent service system and method based on a communication tower, and relates to the field of intelligent services. The system comprises a user terminal, a cloud server and a communication tower end, the user terminal and the communication tower terminal perform data interaction with the cloud server; the user terminal carries out user personalized service customization to obtain personalized service information; the cloud server obtains a cloud analysis result based on the personalized service information, and generates a sensor adjustment instruction or a sensor hanging instruction based on the cloud analysis result; the communication tower end adjusts or hangs the sensor based on the sensor adjusting instruction or the sensor hanging instruction; acquiring sensing data by adopting an adjusted or hung sensor; and the cloud server generates customized information based on the sensing data, and pushes the customized information to the user terminal. According to the application, the development of the smart city can be promoted while the service efficiency is improved and the user experience is optimized.

Description

Technical Field

[0001] The present application relates to the field of intelligent services, and in particular to a universal P2C intelligent service system and method based on communication towers. Background Art

[0002] With the popularization of 5G communication technology and the development of the Internet of Things, communication towers, as an important part of basic communication facilities, are no longer limited to traditional signal transmission. Modern communication towers have powerful data processing capabilities and wide geographical coverage, which provides the possibility for the development of new value-added services. However, how to effectively utilize these resources and build a smart service platform that can meet the needs of diversified consumers and achieve efficient resource allocation has become a major challenge for current technology. Summary of the invention

[0003] In order to solve the above-mentioned problems existing in the prior art, the present application provides a universal P2C (Platform-to-Consumer) smart service system and method based on a communication tower.

[0004] To achieve the above objectives, this application provides the following solutions: A universal P2C smart service system based on a communication tower, comprising: a user terminal, a cloud server and a communication tower terminal; The user terminal and the communication tower terminal both interact with the cloud server for data; The user terminal is used to customize user personalized services and obtain personalized service information; the personalized service information includes user preferences, user behavior data and user geographic location information; The cloud server is used to receive the personalized service information, and to obtain a cloud analysis result based on the personalized service information, and to generate a sensor adjustment instruction or a sensor mounting instruction based on the cloud analysis result; The communication tower is used to receive the sensor adjustment instruction or the sensor mounting instruction, and to adjust or mount the sensor based on the sensor adjustment instruction or the sensor mounting instruction; and to acquire sensor data using the adjusted or mounted sensor; the cloud server is used to receive the sensor data, and to generate customized information based on the sensor data, and push the customized information to the user terminal; the customized information includes an environmental health index, personalized travel recommendations, and warning information.

[0005] Optionally, the user terminal is a smart phone, a smart wearable device, a smart vehicle or a computer.

[0006] Optionally, when the cloud server interacts with the user terminal and the communication tower end respectively, encryption technology is used to encrypt the interaction data.

[0007] Optionally, the cloud server uses a machine learning model to obtain cloud analysis results based on the personalized service information.

[0008] Optionally, the machine learning model includes: a logistic regression model, a support vector machine model or an artificial neural network model.

[0009] Optionally, the communication tower terminal includes: a controller and a green energy power supply device; The controller is connected to the adjusted or mounted sensor; the controller is used to control the sensor to sleep or collect data based on a sleep mechanism and a wake-up mechanism; the green energy power supply device is used to provide electrical energy.

[0010] A universal P2C smart service method based on a communication tower, the method is applied to the universal P2C smart service system based on a communication tower provided above; the method comprises: Performing user personalized service customization to obtain personalized service information; the personalized service information includes user preferences, user behavior data and user geographic location information; Obtaining a cloud analysis result based on the personalized service information, and generating a sensor adjustment instruction or a sensor mounting instruction based on the cloud analysis result; Adjusting or mounting the sensor based on the sensor adjustment instruction or the sensor mounting instruction; Adopt the sensor data that adjusts or mounts, and generate customized information based on the sensor data; The customized information includes environmental health index, personalized travel suggestion and early warning information.

[0011] According to the specific embodiments provided in this application, this application discloses the following technical effects: The present application provides a general P2C smart service system and method based on communication towers. By continuously analyzing user behavior data, preferences, geographic location and other information, it is possible to predict users' possible data needs, price sensitivity and other information, and then implement customized information push based on the predicted information, thereby improving service efficiency, optimizing user experience and promoting the development of smart cities. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0013] Figure 1 A structural block diagram of a general P2C smart service system based on a communication tower provided in an embodiment of the present application; Figure 2 An implementation flow chart of a general P2C smart service system based on a communication tower provided in an embodiment of the present application; Figure 3 A flowchart of a general P2C smart service method based on a communication tower provided in an embodiment of the present application. DETAILED DESCRIPTION

[0014] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0015] The purpose of this application is to provide a universal P2C smart service system and method based on communication towers, aiming to improve service efficiency, optimize user experience, and promote the development of smart cities.

[0016] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0017] Example 1 This embodiment integrates cloud computing, big data analysis, artificial intelligence and other advanced technologies to create a comprehensive service platform that integrates information push, location services, environmental monitoring, emergency communications and other functions to improve service efficiency, optimize user experience, and promote the development of smart cities. Based on this, this embodiment provides a general P2C smart service system based on communication towers, such as Figure 1As shown, the system includes: a user terminal, a cloud server and a communication tower. Both the user terminal and the communication tower interact with the cloud server. In order to protect the data security during transmission and ensure the privacy of user personal information and sensor collected data, the cloud server uses encryption technology to encrypt the interaction data when interacting with the user terminal and the communication tower. The encryption technology used can be Transport Layer Security (TLS)1.3, Advanced Encryption Standard (AES)-256 and other technologies.

[0018] The user terminal is used to customize user personalized services and obtain personalized service information. The personalized service information includes user preferences, user behavior data and user geographic location information.

[0019] The cloud server is used to receive personalized service information, and to obtain cloud analysis results based on the personalized service information, and to generate sensor adjustment instructions or sensor mounting instructions based on the cloud analysis results.

[0020] The communication tower is used to receive sensor adjustment instructions or sensor mounting instructions, and to adjust or mount the sensor based on the sensor adjustment instructions or sensor mounting instructions. The adjusted or mounted sensor is used to obtain sensor data. The cloud server is used to receive sensor data, and to generate customized information based on the sensor data, and push the customized information to the user terminal. The customized information includes environmental health index, personalized travel suggestions and warning information.

[0021] Based on the above description, in order to realize the corresponding functions of each component, in the actual application process, the communication tower end can be equipped with a high-performance data acquisition and processing module, which is responsible for the initial collection and preprocessing of data. Among them, the structural design of the communication tower end can be integrated with a standardized and modular sensor installation interface, which is convenient for the rapid deployment of various sensors (such as environmental monitoring sensors, traffic flow monitors, meteorological monitoring equipment, etc.) according to the needs of different regions and different user groups. This design ensures high flexibility and scalability at the hardware level.

[0022] Furthermore, each communication tower at the communication tower end can be equipped with an intelligent gateway to collect the data collected by each sensor and perform preliminary processing on the collected data. The pre-processed data is then transmitted back to the cloud server via a high-speed wireless network.

[0023] Furthermore, the communication tower can also be equipped with smart devices. The smart devices can be low-power components, such as low-power microcontrollers (MCUs) and ARM Cortex-M series system-on-chips (SoCs). The low-power smart devices consume only very low power in sleep mode.

[0024] The sensors mounted on the communication tower are also preferably low-power sensors, such as photoresistors, temperature and humidity sensors, etc. These low-power sensors consume almost no energy when not actively collecting data.

[0025] Furthermore, the communication tower end also needs to optimize power management, adopt low-power communication protocols, set sleep mode and wake-up mechanism, etc., to achieve low-power design at the energy management level.

[0026] In actual application, the communication tower can be combined with solar energy (similar to solar street lights, the equipment is powered by solar panels installed on the tower) or other green energy. If there is abundant local wind energy, it can be considered to install wind power generation equipment on the tower to achieve optimized power management to ensure the long-term sustainable operation of the entire communication tower. The communication protocol used can be low-power wide area network (LPWAN) technology such as LoRa, Sigfox or NB-IoT.

[0027] The cloud server performs big data analysis, AI algorithm processing and service scheduling. The cloud server can be equipped with an intelligent gateway with edge computing capabilities to perform simple data analysis and filtering, reduce the burden on the cloud, and improve response speed.

[0028] The cloud server can be a big data and AI analysis engine, whose main function is to analyze and predict user needs. In order to achieve this function, the cloud server can be integrated with advanced big data processing and machine learning models, such as logistic regression, support vector machines (SVM), artificial neural networks (ANN), etc., and then use the integrated big data processing and machine learning models to continuously analyze user behavior data, preference settings, geographic location information, etc., and analyze the user behavior data through the integrated above models to predict the user's possible data needs, price sensitivity and other information. Through continuous feedback and iteration from users, the system can continuously optimize the recommendation algorithm to make information push more accurate and personalized. Among them, user behavior data can include user click stream data (page browsing, button clicks), login frequency and time period, etc. These user behavior data reflect the user's activity level, interest direction and usage habits. Preference settings refer to personal preferences that users actively set in the system, such as display focus, data graphics method, etc., which are crucial to the provision of customized content and services. Geographic location information mainly includes user geographic location data obtained through satellite positioning, IP address or mobile base station positioning. This information can help promote localized services, personalized recommendations and marketing.

[0029] Furthermore, in the cloud server, according to the obtained cloud analysis results, instructions can be automatically or manually reviewed to the communication tower at the specific communication tower end to mount or adjust the required type of sensor. For example, if it is predicted that residents in a certain area are highly concerned about air quality, air quality monitoring sensors will be added or strengthened on the corresponding communication tower.

[0030] User terminals connect to the platform via mobile networks or Wi-Fi to receive customized services. In actual applications, user terminals (such as smartphones, smart wearable devices, smart vehicles, computers, etc.) subscribe to personalized services through APP or other interfaces. The cloud server pushes customized information such as environmental health index, personalized travel suggestions, emergency warnings, etc. based on user preferences and real-time sensor data.

[0031] Furthermore, on the user terminal, users can adjust service strategies in real time based on the relevance and satisfaction of information pushed by the cloud server, so as to form a closed-loop optimization with the cloud server and communication tower, and continuously improve the user experience.

[0032] In addition, a remote monitoring and maintenance system can be further established to respond to hardware failures in a timely manner and ensure service continuity. Figure 2As shown, the implementation process of the universal P2C smart service system based on communication towers provided by this application can be summarized as follows: Step 1: Enhanced functions of the communication tower: This step is mainly implemented by the functions of the communication tower given above.

[0033] Step 2: Personalized information service implementation mechanism: This step is mainly implemented by data interaction between the above-mentioned user terminal and the cloud server.

[0034] Step 3: Information push and interaction: This step is mainly achieved by data interaction between the user terminal, the communication tower and the cloud server.

[0035] Step 4: Security and sustainability control: This step is mainly achieved through data interaction between user terminals, communication towers, and cloud servers.

[0036] In summary, the universal P2C smart service system based on communication towers provided by the present invention can greatly enhance the added value of communication towers, transforming them from a single signal transmission role to a key infrastructure of smart cities. It not only makes full use of existing communication infrastructure resources, but also realizes intelligent and personalized service upgrades through technological innovation, providing users with a richer, more convenient and personalized service experience. In addition, by setting up user terminals, communication tower terminals and cloud servers, this application can optimize resource allocation, improve urban service efficiency, and assist in the construction of smart cities, which can provide guidance for strengthening public safety and emergency response capabilities and improving the overall welfare of society.

[0037] Example 2 This embodiment provides a general P2C smart service method based on a communication tower, which is applied to the general P2C smart service system based on a communication tower provided above. Figure 3 As shown, the method includes: Step 100: Customize user personalized services and obtain personalized service information. The personalized service information includes user preferences, user behavior data, and user geographic location information.

[0038] Step 101: Obtain cloud analysis results based on personalized service information, and generate sensor adjustment instructions or sensor mounting instructions based on the cloud analysis results.

[0039] Step 102: Adjust or mount the sensor based on the sensor adjustment instruction or the sensor mounting instruction.

[0040] Step 103: Use the adjusted or mounted sensors to obtain sensor data, and generate customized information based on the sensor data. The customized information includes an environmental health index, personalized travel suggestions, and warning information.

[0041] Example 3 A computer device includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the universal P2C smart service method based on a communication tower in Embodiment 1.

[0042] Example 4 A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the universal P2C smart service method based on a communication tower in Example 1.

[0043] Example 5 A computer program product includes a computer program, which, when executed by a processor, implements the universal P2C smart service method based on a communication tower in embodiment 1.

[0044] Example 6 A computer device, which may be a database. The computer device includes a processor, a memory, an input / output interface (I / O for short) and a communication interface. The processor, the memory and the input / output interface are connected via a system bus, and the communication interface is connected to the system bus via the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store pending transactions. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, the general P2C smart service method based on a communication tower in Example 1 can be implemented.

[0045] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0046] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0047] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above 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] This article uses specific examples to illustrate the principles and implementation methods of this application. The description of the above embodiments is only used to help understand the method and core ideas of this application. The same and similar parts between the embodiments can be referenced to each other; at the same time, for those of ordinary skill in the art, according to the ideas of this application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting this application.

Claims

1. A universal P2C intelligent service system based on communication tower, characterized in that: The system comprises: a user terminal, a cloud server and a communication tower terminal; The user terminal and the communication tower terminal both interact with the cloud server for data; The user terminal is used to customize user personalized services and obtain personalized service information; the personalized service information includes user preferences, user behavior data and user geographic location information; The cloud server is used to receive the personalized service information, and to obtain a cloud analysis result based on the personalized service information, and to generate a sensor adjustment instruction or a sensor mounting instruction based on the cloud analysis result; The communication tower is used to receive the sensor adjustment instruction or the sensor mounting instruction, and to adjust or mount the sensor based on the sensor adjustment instruction or the sensor mounting instruction; and to acquire sensor data using the adjusted or mounted sensor; the cloud server is used to receive the sensor data, and to generate customized information based on the sensor data, and push the customized information to the user terminal; the customized information includes an environmental health index, personalized travel recommendations, and warning information.

2. The universal P2C intelligent service system based on communication tower according to claim 1 is characterized in that: The user terminal is a smart phone, a smart wearable device, a smart vehicle or a computer.

3. The universal P2C intelligent service system based on communication tower according to claim 1 is characterized in that: When the cloud server interacts with the user terminal and the communication tower end respectively, encryption technology is used to encrypt the interaction data.

4. The universal P2C intelligent service system based on communication tower according to claim 1 is characterized in that: The cloud server uses a machine learning model to obtain cloud analysis results based on the personalized service information.

5. The universal P2C intelligent service system based on communication tower according to claim 4 is characterized in that: The machine learning model includes: a logistic regression model, a support vector machine model or an artificial neural network model.

6. The universal P2C intelligent service system based on communication tower according to claim 1, characterized in that: The communication tower end includes: a controller and a green energy power supply device; The controller is connected to the adjusted or mounted sensor; the controller is used to control the sensor to sleep or collect data based on a sleep mechanism and a wake-up mechanism; the green energy power supply device is used to provide electrical energy.

7. A general P2C intelligent service method based on communication tower, characterized in that: The method is applied to the universal P2C smart service system based on a communication tower as described in any one of claims 1 to 6; the method comprises: Performing user personalized service customization to obtain personalized service information; the personalized service information includes user preferences, user behavior data and user geographic location information; Obtaining a cloud analysis result based on the personalized service information, and generating a sensor adjustment instruction or a sensor mounting instruction based on the cloud analysis result; Adjusting or mounting the sensor based on the sensor adjustment instruction or the sensor mounting instruction; Adopt the sensor data that adjusts or mounts, and generate customized information based on the sensor data; The customized information includes environmental health index, personalized travel suggestion and early warning information.

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