Four-network communication terminal communication method and system

Abstract

The invention discloses a four-network communication terminal communication method and system, and relates to the technical field of multi-network convergence communication, and the method comprises the steps: collecting environment parameter data in real time, and carrying out the data preprocessing; carrying out network signal integration, and selecting an optimal channel to carry out data transmission; data are remotely monitored and managed, and transmission parameters of a network are dynamically adjusted. The method provided by the invention ensures that the system can timely acquire and process key environment parameters, improves the accuracy and timeliness of data, enables subsequent data processing and network selection to be more effective, improves the efficiency and reliability of subsequent data transmission, improves the reliability and communication quality of the whole system, and reduces the cost. The intelligent and adaptive capabilities of the system are improved, it is ensured that the system can be self-adjusted in different environments, a stable and efficient communication state is maintained, and the reliability and safety of data transmission are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of multi-network converged communication, and in particular to a quad-network terminal communication method and system. Background Art

[0002] With the rapid development of the Internet of Things (IoT) and smart home technologies, four-network terminals 4G, 5G, Wi-Fi and Bluetooth have become the key to the connection and communication of various smart devices. In recent years, the application of environmental sensors has received widespread attention, and real-time collection of environmental parameters to support intelligent decision-making and monitoring has become a research hotspot. Various terminals can access different network forms, which not only improves the flexibility of data transmission, but also enhances the reliability and stability of the network. Especially in the fields of smart cities, agricultural monitoring and public safety, the comprehensive use of multiple network signals for efficient data transmission and processing has gradually become an inevitable trend. With the maturity of cloud computing and big data technologies, terminal devices are also increasingly relying on remote data management and dynamic adjustment mechanisms to improve user experience and optimize resource allocation.

[0003] Although existing technologies have achieved certain results in environmental data collection and network signal integration, there are still many shortcomings. Existing technologies often rely only on a single network protocol, which results in the inability to achieve optimal performance in channel selection and data transmission efficiency. This single mode leads to a significant decrease in the communication quality of the terminal when the network environment changes, affecting the real-time and accuracy of the data. The current data preprocessing technology is generally relatively simple and fails to effectively cope with the complexity of large-scale, multi-dimensional environmental data. This means that in the face of complex environmental changes, the reliability and effectiveness of the data often decrease, making it difficult to meet high-demand application scenarios. The existing monitoring and management systems generally lack intelligent decision-making capabilities when dynamically adjusting network transmission parameters, and are unable to make adaptive adjustments based on real-time environmental changes. This not only limits the flexibility of the system, but also reduces the response speed to user needs. Summary of the invention

[0004] In view of the above-mentioned problems, the present invention is proposed.

[0005] Therefore, the technical problem solved by the present invention is: the existing four-network communication technology method has low channel selection efficiency, insufficient data preprocessing capability, imperfect dynamic adjustment mechanism, and how to achieve efficient, stable and intelligent data transmission and management.

[0006] To solve the above technical problems, the present invention provides the following technical solutions: a four-network terminal communication method, comprising real-time collection of environmental parameter data and data preprocessing; network signal integration and selection of the optimal channel for data transmission; remote monitoring and management of data and dynamic adjustment of network transmission parameters.

[0007] As a preferred solution of the four-network terminal communication method described in the present invention, the real-time collection of environmental parameter data includes connecting the control unit with the CO sensor, the humidity sensor and the temperature sensor to form an environmental parameter monitoring system to collect and generate sensor data in real time.

[0008] As a preferred solution of the four-network terminal communication method described in the present invention, the data preprocessing includes converting the analog signal into a digital signal through a data conversion interface, and using different demodulation algorithms to demodulate and convert the signal separately according to the sensor type. The control unit has a built-in logic judgment mechanism, and the system automatically triggers a reporting mechanism to upload the corresponding data to the network system through the conversion interface for real-time data monitoring and anomaly detection.

[0009] As a preferred solution of the four-network terminal communication method described in the present invention, the network signal integration includes a data conversion interface receiving multiple sensor data uploaded by an aggregation device, integrating and storing the data, the aggregation device monitoring the load status of each network bridging device, and applying a load balancing algorithm to dynamically allocate data traffic. When the channel load of a network bridging device is too high, the aggregation device will automatically switch channels.

[0010] As a preferred solution of the four-network terminal communication method described in the present invention, wherein: the selection of the optimal channel for data transmission includes connecting with the network bridging device through the aggregation device, the network bridging device automatically selects the optimal channel according to the current network environment, implements dynamic switching and load balancing of multiple networks, and stably transmits data in different network environments. The aggregation device and the network bridging device cooperate with each other, monitor the network load status, and decide the time to switch to another network. When the transmission strength of a network channel is reduced, the system automatically switches the channel access, and the data is continuously transmitted in different network environments.

[0011] As a preferred solution of the four-network terminal communication method described in the present invention, wherein: the remote monitoring and management of data includes automatically judging the data through a logical analysis algorithm. During the remote management process, the computer system adjusts the transmission parameters of each network, continuously analyzes the sensor data, and judges the data based on the set logical rules. When abnormal fluctuations in temperature or humidity data are detected, the system first determines whether the data is instantaneous or continuous fluctuations. If the abnormal fluctuations are continuous, an alarm is triggered, and the data is automatically uploaded through a network bridging device, so as to perform intelligent monitoring of the equipment in a multi-network environment.

[0012] As a preferred solution of the four-network terminal communication method described in the present invention, the dynamic adjustment of the transmission parameters of each network includes automatically adjusting the parameter settings through the environmental detection function of the network bridging device. The system will reduce the transmission rate to stabilize signal transmission, or switch frequency bands, based on real-time updates of the dynamic parameter table to adapt to different network conditions.

[0013] Another object of the present invention is to provide a quad-network terminal communication system that can integrate network signals and select the optimal channel for data transmission, thereby solving the problems of channel congestion and unstable transmission in current multi-network fusion communication technology.

[0014] As a preferred solution of the four-network terminal communication system described in the present invention, it includes: a data preprocessing module, a data transmission module, and a monitoring and dynamic adjustment module.

[0015] The data preprocessing module is used to collect environmental parameter data in real time and perform data preprocessing; the data transmission module is used to integrate network signals and select the optimal channel for data transmission; the monitoring and dynamic adjustment module is used to remotely monitor and manage data and dynamically adjust the transmission parameters of the network.

[0016] A computer device comprises a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement a step of a four-network terminal communication method.

[0017] A computer-readable storage medium stores a computer program, which implements the steps of a four-network terminal communication method when executed by a processor.

[0018] The beneficial effects of the present invention are as follows: the four-network terminal communication method provided by the present invention collects environmental parameter data in real time and performs data preprocessing to ensure that the system can obtain and process key environmental parameters in a timely manner, improve the accuracy and timeliness of the data, make subsequent data processing and network selection more effective, improve the efficiency and reliability of subsequent data transmission, perform network signal integration, and select the optimal channel for data transmission, thereby improving the stability and efficiency of data transmission in a multi-network environment, avoiding communication failures that may be caused when a single network load is too high or the channel transmission strength is reduced. The system can automatically adjust the channel when facing changes in network load to ensure stable data transmission, thereby improving the reliability and communication quality of the overall system, remotely monitor and manage data, dynamically adjust the transmission parameters of the network, improve the intelligence and adaptability of the system, ensure that the system can self-adjust in different environments, and maintain a stable and efficient communication state. The system can automatically trigger alarms and data uploads according to abnormal fluctuations in environmental data, thereby improving fault response speed and early warning capabilities, and improving the reliability and security of data transmission. The present invention achieves better results in terms of accurate data collection and processing, data transmission stability, and optimization of intelligence and adaptability. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0020] Figure 1 The present invention provides an overall flow chart of a four-network terminal communication method according to the first embodiment of the present invention.

[0021] Figure 2 An overall flow chart of a quad-network terminal communication system provided by the third embodiment of the present invention. DETAILED DESCRIPTION

[0022] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0023] Example 1, reference Figure 1 , as an embodiment of the present invention, provides a four-network terminal communication method, comprising:

[0024] S1: Collect environmental parameter data in real time and perform data preprocessing.

[0025] Furthermore, simultaneously collecting environmental parameter data includes connecting the control unit with a CO sensor, a humidity sensor, and a temperature sensor to form an environmental parameter monitoring system to collect and generate sensor data in real time.

[0026] It should be noted that data preprocessing includes converting analog signals into digital signals through a data conversion interface. Depending on the type of sensor, different demodulation algorithms are used to demodulate and convert the signals separately. The control unit has a built-in logic judgment mechanism, and the system automatically triggers the reporting mechanism to upload the corresponding data to the network system through the conversion interface for real-time data monitoring and anomaly detection.

[0027] It should also be noted that the collected data is screened according to the preset environmental parameter thresholds. The specific steps are as follows: First, the control unit is closely connected with the CO sensor, humidity sensor and temperature sensor to form a comprehensive environmental parameter monitoring system. Each sensor collects environmental data in real time according to the preset sampling frequency. For example, the CO sensor collects concentration data once per second. These original analog signals are converted into digital signals through the data conversion interface. During the conversion process, the system will apply the corresponding demodulation algorithm according to the characteristics of different sensors to ensure the accuracy and reliability of signal conversion; the converted digital signal is then transmitted to the control unit, and the built-in logical judgment mechanism starts to work to perform real-time analysis on the collected data; the control unit has built-in preset environmental parameter thresholds, such as the CO concentration threshold of 50ppm, the humidity threshold of 60%RH, and the temperature threshold of 25℃; the system will compare the data transmitted by each sensor item by item. If If any data exceeds the preset threshold range, for example, the relative humidity detected by the humidity sensor reaches 65%RH, the control unit will immediately identify this abnormality; once the data is detected to exceed the threshold, the system will automatically trigger the reporting mechanism. The specific operation is: the control unit marks and packages the abnormal data, and quickly uploads it to the network system through the data conversion interface. At the same time, the system will record the time of the abnormality, the duration and related environmental parameters. The system will also notify the management personnel to take corresponding emergency measures according to the severity of the abnormality through sound and light alarms or sending text messages; through this screening and reporting mechanism, the system can ensure that all key environmental parameter abnormalities are identified and handled in a timely manner, thereby effectively preventing potential safety risks and ensuring the continuity of industrial production and personnel safety; this process not only improves the intelligence level of environmental monitoring, but also provides strong technical support for the company's environmental management and risk control.

[0028] It should also be noted that by collecting environmental parameter data in real time and performing data preprocessing, the system can obtain and process key environmental parameters in real time, which not only improves the accuracy and timeliness of the data, but also provides a reliable basis for subsequent data transmission and network selection. Accurate environmental data helps to better understand the environmental status, so that timely measures can be taken when abnormalities occur. Through the data preprocessing step, the analog signal is converted into a digital signal, and different demodulation algorithms are applied to the signal according to the sensor type to demodulate and convert it separately. The built-in logical judgment mechanism enables the system to automatically trigger the reporting mechanism and upload the relevant data to the network system through the conversion interface for real-time data monitoring and anomaly detection. This process not only improves the efficiency and accuracy of data processing, but also enhances the system's self-diagnosis and self-repair capabilities to ensure stable operation under various environmental conditions.

[0029] S2: Integrate network signals and select the optimal channel for data transmission.

[0030] Furthermore, network signal integration includes receiving various sensor data uploaded by the aggregation device through the data conversion interface, integrating and storing the data, the aggregation device monitoring the load status of each network bridging device, and applying a load balancing algorithm to dynamically allocate data traffic. When the channel load of a network bridging device is too high, the aggregation device will automatically switch channels.

[0031] It should be noted that selecting the optimal channel for data transmission includes connecting the aggregation device to the network bridging device. The network bridging device automatically selects the optimal channel according to the current network environment, implements dynamic switching and load balancing of multiple networks, and stably transmits data in different network environments. The aggregation device and the network bridging device cooperate with each other to monitor the network load status and decide the time to switch to another network. When the transmission strength of a network channel decreases, the system automatically switches channel access, and data is continuously transmitted in different network environments.

[0032] It should also be noted that the alarm mechanism performs layer-by-layer analysis through a logic judgment and threshold detection process. The specific steps are as follows: The operation of the alarm mechanism relies on precise logic judgment and threshold detection processes. First, the environmental parameter data collected by the sensor in real time is converted into digital signals through the data conversion interface and then transmitted to the control unit. The control unit has a built-in set of complex logic judgment algorithms, which analyze each incoming data point layer by layer. The algorithm first checks whether the CO concentration exceeds 50ppm, whether the humidity exceeds 60%RH, and whether the temperature exceeds 25°C and other preset thresholds. Once a parameter is detected to exceed the threshold, the system will start the first layer of analysis, that is, to confirm whether it is an instantaneous fluctuation or a continuous abnormality. If it is an instantaneous fluctuation, the system may ignore the alarm or only record the event for further observation. If it is a continuous abnormality, the system will enter the second layer of analysis to calculate the duration and intensity of the abnormal data. to assess the degree of urgency; if the CO concentration rises rapidly in a short period of time and continues to exceed the threshold, the system will determine it as an emergency. In an emergency, the system will trigger the third layer of analysis, that is, activate the alarm mechanism, and send real-time alarms to managers, including sound and light alarms, SMS notifications, or pop-up warnings directly on the monitoring interface; at the same time, the system will automatically record all relevant data of the abnormal event, including timestamps, abnormal values, duration, and sensor status, for subsequent accident analysis and system optimization; the system will also automatically adjust the sensor sampling frequency or start backup sensors according to the type and severity of the abnormality to ensure data accuracy and system reliability; through this layer-by-layer analysis method, the alarm mechanism can not only respond to abnormal changes in environmental parameters in a timely manner, but also provide managers with sufficient information to take the most appropriate safety measures, thereby effectively preventing and dealing with potential safety risks.

[0033] It should also be noted that when the signal strength of the connected network is weak, the system will reduce the transmission rate to stabilize the signal transmission, or switch the frequency band, based on the real-time update of the dynamic parameter table to adapt to different network conditions. The specific operation steps are as follows: First, the network bridging device will evaluate the quality of the network signal in real time according to the built-in dynamic parameter table. The parameter table contains multiple indicators such as signal strength, bit error rate, and delay; if the signal strength is lower than the preset threshold, the system will start the adaptive adjustment mechanism to reduce the data transmission rate to reduce signal transmission errors in weak signal environments; the system will also consider switching to other frequency bands, especially when the current frequency band is interfered or congested; the process involves real-time scanning and evaluation of available frequency bands, and selecting the optimal frequency band for Data transmission; the network bridging device continuously monitors the network status and uses algorithms to predict and select the best transmission path to ensure smooth data transmission under various network conditions. If the 4G network signal is weak, the system may automatically switch to the 3G network or look for other available wireless spectrum; throughout the process, the dynamic parameter table will be updated in real time to reflect changes in the current network environment, thereby guiding the system to make corresponding adjustments; the adaptive mechanism not only improves the reliability of data transmission, but also optimizes the utilization of network resources, especially in industrial scenarios with complex and changeable network environments; through this intelligent network management, the system can respond to various network challenges while maintaining communication continuity to ensure the timely delivery of critical data.

[0034] It should also be noted that by integrating network signals and selecting the optimal channel for data transmission, the channel congestion and unstable transmission problems existing in the current multi-network converged communication technology are solved. The application of load balancing algorithm ensures the reasonable distribution and management of data traffic, avoids the phenomenon of excessive load on a single network, and thus improves the stability of data transmission. Through the mechanism of automatic channel switching, when the channel load of a certain network bridging device is too high, it automatically switches to other low-load channels, thereby enhancing the adaptability and flexibility of the system in a multi-network environment, ensuring that data can be transmitted stably and efficiently under any network conditions. By automatically selecting the optimal channel, the system can adjust according to the real-time changes of the current network environment. When the network signal strength weakens or the load is too high, it automatically switches to other channels to continue transmitting data, thereby improving the reliability and continuity of data transmission, avoiding communication interruptions caused by changes in network conditions, and improving the overall performance of the system and user experience.

[0035] S3: Remotely monitor and manage data and dynamically adjust network transmission parameters.

[0036] Furthermore, remote monitoring and management of data includes automatic judgment of data through logical analysis algorithms. During the remote management process, the computer system adjusts the transmission parameters of each network, continuously analyzes the sensor data, and judges the data based on the set logical rules. When abnormal fluctuations in temperature or humidity data are detected, the system first determines whether the data is instantaneous or continuous. If there is a continuous abnormal fluctuation, an alarm is triggered and the data is automatically uploaded through a network bridging device, so as to perform intelligent monitoring of the equipment in a multi-network environment.

[0037] It should be noted that dynamic adjustment of the transmission parameters of each network includes automatic adjustment of parameter settings through the environmental detection function of the network bridging device. The system will reduce the transmission rate to stabilize signal transmission, or switch frequency bands, based on real-time updates of the dynamic parameter table to adapt to different network conditions.

[0038] It should also be noted that remote monitoring and management of data and dynamic adjustment of network transmission parameters solve the problem of insufficient dynamic adaptation and response to network transmission in the current multi-network environment. Through logical analysis algorithms, the system can automatically determine data anomalies and respond quickly, effectively improving the system's intelligence level and ability to deal with emergencies. When abnormal fluctuations in environmental data occur, the system can quickly analyze data and take corresponding measures, such as triggering alarms and executing data uploads, to ensure that problems are handled in a timely manner and avoid adverse effects on system operation and data transmission. Through remote management and dynamic adjustment of transmission parameters, the system automatically adjusts parameter settings according to the environmental detection function of the network bridging device, reduces the transmission rate when necessary to stabilize signal transmission, or adapts to different network environments according to the real-time update of the dynamic parameter table. This not only enhances the system's adaptability and stability in a changing network environment, but also makes communication more reliable and efficient, enabling the system to have a high level of adaptability, self-diagnosis and self-regulation capabilities, further improving the intelligence and reliability of the system.

[0039] Embodiment 2 is an embodiment of the present invention, which provides a four-network terminal communication method. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through economic benefit calculation and simulation experiments.

[0040] First, the experimental equipment includes CO sensor, humidity sensor, temperature sensor, data conversion interface, convergence device, network bridge device and control unit; the sensor group consists of CO sensor, humidity sensor and temperature sensor, each sensor is closely connected with the control unit to form a comprehensive environmental parameter monitoring system; the sensor collects data according to the preset sampling frequency, the CO sensor collects concentration data once per second, the humidity sensor and the temperature sensor collect data once per second respectively; the collected analog signal is converted into a digital signal through the data conversion interface; during the conversion process, the system will apply the corresponding demodulation algorithm according to the characteristics of different sensors to ensure the accuracy and reliability of signal conversion; after conversion, the The digital signal is transmitted to the control unit, and the built-in logic judgment mechanism starts working immediately. The control unit has preset environmental parameter thresholds, such as CO concentration 50ppm, humidity 60%RH, and temperature 25℃; the system will compare the data from each sensor item by item; if any data exceeds the preset threshold range, the control unit will immediately identify and record the abnormal situation. When the humidity sensor detects that the relative humidity reaches 65%RH, the system will trigger the reporting mechanism; the control unit will mark and package the abnormal data, upload it to the network system through the data conversion interface, and record the time when the abnormality occurred, the duration and related environmental parameters; according to the severity of the abnormality, the system will send an audible and visual alarm or send a text message The system notifies the management personnel in a timely manner; during the data upload and analysis process, the system monitors and automatically judges the data in real time through the logic analysis algorithm. The aggregation device receives the data of each sensor and integrates and stores it. Through the network bridging device, the system monitors the load status of each network channel and dynamically allocates the data flow using the load balancing algorithm. When the channel load of a network bridging device is too high, the aggregation device will automatically switch channels and select the optimal channel for data transmission to ensure stable data transmission. In order to ensure the efficient operation of the system and the reliability of data transmission, the experiment simulates data transmission scenarios under various network environments, including simulating signal strength reduction and channel congestion. The system evaluates the real-time The network signal quality is updated in real time through the dynamic parameter table to adapt to different network conditions, reduce the transmission rate or switch the frequency band. When the system detects that the 4G network signal is weakened, it will automatically switch to the 3G network or find other available frequency bands for data transmission to ensure the continuity of communication. The experiment tested the system's self-healing ability and adaptability in a multi-network environment. By analyzing the abnormal conditions of environmental parameters layer by layer, the system can make accurate judgments in instantaneous fluctuations and continuous abnormalities, issue alarms and initiate corresponding emergency measures. Combined with the real-time update of the dynamic parameter table and the logic analysis algorithm, the system can quickly adjust the sampling frequency of the sensor or start the backup sensor when an abnormality occurs to ensure the accuracy of the data and timely upload.From the experimental data, it can be seen that the present invention provides enterprises with a set of more efficient, safe and reliable environmental monitoring and data management solutions, and has innovative advantages in environmental monitoring and data processing. ;

[0041] Example 3, reference Figure 2 , is an embodiment of the present invention, which provides a four-network terminal communication system, including a data preprocessing module, a data transmission module, and a monitoring and dynamic adjustment module.

[0042] The data preprocessing module is used to collect environmental parameter data in real time and perform data preprocessing; the data transmission module is used to integrate network signals and select the optimal channel for data transmission; the monitoring and dynamic adjustment module is used to remotely monitor and manage data and dynamically adjust the transmission parameters of the network.

[0043] If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0044] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0045] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering, or processing in another suitable manner as necessary, and then stored in a computer memory.

[0046] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc. It should be noted that the above embodiments are only used to illustrate the technical solution of the present invention and are not limited. Although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention, which should be included in the scope of the claims of the present invention.

[0047] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A four-network terminal communication method, characterized in that: include: Collect environmental parameter data in real time and perform data preprocessing; Integrate network signals and select the best channel for data transmission; Remotely monitor and manage data, and dynamically adjust network transmission parameters.

2. The quad-network terminal communication method according to claim 1, characterized in that: The real-time collection of environmental parameter data includes connecting the control unit with a CO sensor, a humidity sensor and a temperature sensor to form an environmental parameter monitoring system to collect and generate sensor data in real time.

3. The quad-network terminal communication method according to claim 2, characterized in that: The data preprocessing includes converting the analog signal into a digital signal through a data conversion interface. According to the sensor type, different demodulation algorithms are used to demodulate and convert the signal separately. The control unit has a built-in logic judgment mechanism. The system automatically triggers the reporting mechanism and uploads the corresponding data to the network system through the conversion interface for real-time data monitoring and anomaly detection.

4. The quad-network terminal communication method according to claim 3, characterized in that: The network signal integration includes receiving multiple sensor data uploaded by the aggregation device through the data conversion interface, integrating and storing the data, the aggregation device monitoring the load status of each network bridging device, and applying the load balancing algorithm to dynamically allocate data traffic. When the channel load of a network bridging device is too high, the aggregation device will automatically switch channels.

5. The quad-network terminal communication method according to claim 4, characterized in that: The selection of the optimal channel for data transmission includes connecting the aggregation device to the network bridging device, the network bridging device automatically selects the optimal channel according to the current network environment, implements dynamic switching and load balancing of multiple networks, and stably transmits data in different network environments. The aggregation device and the network bridging device cooperate with each other, monitor the network load status, and decide the time to switch to another network. When the transmission strength of a network channel decreases, the system automatically switches channel access, and data is continuously transmitted in different network environments.

6. The quad-network terminal communication method according to claim 5, characterized in that: The remote monitoring and management of data includes automatic judgment of data through logic analysis algorithms. During the remote management process, the computer system adjusts the transmission parameters of each network, continuously analyzes the sensor data, and judges the data based on set logic rules. When abnormal fluctuations in temperature or humidity data are detected, the system first determines whether the data is instantaneous or continuous fluctuations. If there are continuous abnormal fluctuations, an alarm is triggered and the data is automatically uploaded through a network bridging device, so as to perform intelligent monitoring of the equipment in a multi-network environment.

7. The quad-network terminal communication method according to claim 6, characterized in that: The dynamic adjustment of the transmission parameters of each network includes automatically adjusting parameter settings through the environmental detection function of the network bridging device. The system will reduce the transmission rate to stabilize signal transmission, or switch frequency bands, based on real-time updates of the dynamic parameter table to adapt to different network conditions.

8. A system using the quad-network terminal communication method according to any one of claims 1 to 7, characterized in that: It includes data preprocessing module, data transmission module, monitoring and dynamic adjustment module; The data preprocessing module is used to collect environmental parameter data in real time and perform data preprocessing; The data transmission module is used to integrate network signals and select the optimal channel for data transmission; The monitoring and dynamic adjustment module is used to remotely monitor and manage data and dynamically adjust the transmission parameters of the network.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the quad-network terminal communication method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the quad-network terminal communication method according to any one of claims 1 to 7 are implemented.

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