A wireless intelligent interactive communication method and communication system

By introducing transmission monitoring module, architecture analysis module and stability analysis module in the wireless intelligent interactive communication system, the problems of wireless network transmission status monitoring and analysis are solved, and data transmission efficiency and security are improved.

CN118660309BActive Publication Date: 2025-02-14无锡雷华网络技术有限公司
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Patent Information

Application Number
CN202410741450.X
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-06-11
Publication Date
2025-02-14
Estimated Expiration
2044-06-11

AI Technical Summary

Technical Problem

The prior art cannot monitor and analyze the data transmission status in wireless network transmission, resulting in the inability to improve data transmission efficiency and security.

Method used

A wireless intelligent interactive communication method and communication system are designed, including transmission monitoring module, architecture analysis module and stability analysis module. By monitoring and analyzing the data transmission status of wireless interactive communication, the transmission coefficient, architecture coefficient and stability coefficient are obtained, and the transmission coefficient is carried out. Decision and optimization.

Benefits of technology

Real-time monitoring and analysis of wireless network transmission status is realized, and differentiated marking and optimization can be performed according to the transmission status, improving the efficiency and security of wireless data transmission.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present invention belongs to the field of wireless communications and relates to data analysis technology, which is used to solve the problem that the prior art cannot monitor and analyze the data transmission status in wireless network transmission. Specifically, it is a wireless intelligent interactive communication method and a communication system, including a central processing unit, which is communicatively connected to a transmission monitoring module, an architecture analysis module, a stability analysis module and a storage module; the transmission monitoring module is used to monitor and analyze the data transmission status of wireless interactive communication: generate a monitoring cycle and divide the monitoring cycle into a number of monitoring time periods, divide the wireless interactive communication area into a number of communication areas, and mark the communication area as a normal area or an interference area through a transmission coefficient CS; the present invention can monitor and analyze the data transmission status of wireless interactive communication, thereby differentially marking the communication area according to the transmission coefficient, and providing data support for the overall communication status determination.
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Description

Technical Field

[0001] The present invention belongs to the field of wireless communications, relates to data analysis technology, and specifically is a wireless intelligent interactive communication method and a communication system. Background Art

[0002] In the process of building smart cities and safe cities, video management informatization in the fields of intelligent transportation is particularly important. The security and stability of wireless intelligent interactive communication can be ensured by setting up intelligent protection boxes. The core of wireless intelligent interactive communication methods lies in signal transmission technology, which mainly involves how to effectively transmit information from the sender to the receiver and ensure the integrity and real-time nature of the information.

[0003] At present, conventional intelligent control on the market can only perform incomplete intelligent operations on data uploading, control, storage, etc., but cannot monitor and analyze the data transmission status in wireless network transmission, and cannot formulate corresponding optimization plans and measures based on the transmission status analysis results, resulting in the inability to improve the data transmission efficiency and security in wireless network transmission.

[0004] In view of the above technical problems, this application proposes a solution. Summary of the invention

[0005] The purpose of the present invention is to provide a wireless intelligent interactive communication method and a communication system to solve the problem that the prior art cannot monitor and analyze the data transmission status in wireless network transmission;

[0006] The technical problem to be solved by the present invention is: how to provide a wireless intelligent interactive communication method and a communication system that can monitor and analyze the data transmission status in wireless network transmission.

[0007] The purpose of the present invention can be achieved through the following technical solutions:

[0008] A wireless intelligent interactive communication method and communication system, comprising a central processing unit, wherein the central processing unit is communicatively connected to a transmission monitoring module, an architecture analysis module, a stability analysis module and a storage module;

[0009] The transmission monitoring module is used to monitor and analyze the data transmission status of wireless interactive communication: generate a monitoring cycle and divide the monitoring cycle into several monitoring time periods, divide the wireless interactive communication area into several communication areas, obtain the uplink data SX, downlink data XX, lost data DS and delayed data YC of the communication area in the monitoring period; obtain the transmission coefficient CS of the monitoring period by numerically calculating the uplink data SX, downlink data XX, lost data DS and delayed data YC; mark the communication area as a normal area or an interference area by the transmission coefficient CS; mark the ratio of the number of interference areas to the number of communication areas in the monitoring period as the interference coefficient of the monitoring period, and judge whether the overall communication status of the wireless interactive communication area meets the requirements by the interference coefficient;

[0010] The architecture analysis module is used to analyze the network architecture of wireless interactive communication and obtain the architecture coefficient and facility coefficient, obtain the architecture threshold and facility threshold through the storage module, compare the architecture coefficient and facility coefficient of the wireless interactive communication area with the architecture threshold and facility threshold respectively, and judge the rationality of the network architecture layout of the wireless interactive communication area and whether the facility reserve meets the requirements through the comparison results;

[0011] The stability analysis module is used to monitor and analyze the communication stability in the wireless interactive communication area.

[0012] As a preferred embodiment of the present invention, the process of obtaining the uplink data SX includes: marking the data transmission process in the communication area as an uplink process, and summing and averaging the uplink speeds of all uplink processes in the monitoring period to obtain the uplink data SX; the process of obtaining the downlink data XX includes: marking the data download process in the communication area as a downlink process, and summing and averaging the downlink speeds of all downlink processes in the monitoring period to obtain the downlink data XS.

[0013] As a preferred embodiment of the present invention, the process of obtaining the lost data DS includes: marking the number of times data loss occurs during the monitoring period as a loss value, and marking the ratio of the loss value to the number of monitoring processes as the lost data DS; the process of obtaining the delayed data YC includes: marking the number of times data delay occurs during the monitoring period as a delay value, and marking the ratio of the delay value to the number of monitoring processes as the delayed data YC.

[0014] As a preferred embodiment of the present invention, the specific process of marking a communication area as a normal area or an interference area includes: obtaining the transmission threshold CSmin through the storage module, and comparing the transmission coefficient CS of the monitoring period with the transmission threshold CSmin: if the transmission coefficient CS is less than the transmission threshold CSmin, it is determined that the wireless interactive communication state of the communication area does not meet the requirements, and the corresponding communication area is marked as an interference area; if the transmission coefficient CS is greater than or equal to the transmission threshold CSmin, it is determined that the wireless interactive communication state of the communication area meets the requirements, and the corresponding communication area is marked as a normal area.

[0015] As a preferred embodiment of the present invention, the specific process of determining whether the overall communication status of the wireless interactive communication area meets the requirements includes: obtaining the interference threshold through the storage module, and comparing the interference coefficient of the monitoring period with the interference threshold: if the interference coefficient is less than the interference threshold, then it is determined that the overall communication status of the wireless interactive communication area meets the requirements; if the interference coefficient is greater than or equal to the interference threshold, then it is determined that the overall communication status of the wireless interactive communication area does not meet the requirements, generating an architecture analysis signal and sending the architecture analysis signal to the central processing unit, and after receiving the architecture analysis signal, the central processing unit sends the architecture analysis signal to the architecture analysis module.

[0016] As a preferred embodiment of the present invention, the process of obtaining the architecture coefficient and the facility coefficient includes: marking the network transmission nodes in the wireless interactive communication area as analysis objects, selecting an analysis object as a benchmark object, marking the analysis object that is closest to the benchmark object in space as an associated object of the benchmark object, marking the straight-line distance value between the benchmark object and the associated object as the communication value of the benchmark object, and then selecting the next analysis object as the benchmark object, until all analysis objects are used as benchmark objects and the corresponding communication values ​​are obtained, forming a communication set from the communication values ​​of all analysis objects, performing variance calculation on the communication set to obtain the architecture coefficient of the wireless interactive communication area, and summing and averaging the communication values ​​of all analysis objects to obtain the facility coefficient of the wireless interactive communication area.

[0017] As a preferred embodiment of the present invention, the specific process of comparing the architecture coefficient and facility coefficient of the wireless interactive communication area with the architecture threshold and facility threshold respectively includes: if the architecture coefficient is greater than or equal to the architecture threshold, it is determined that the rationality of the network architecture layout of the wireless interactive communication area does not meet the requirements, and an architecture optimization signal is generated and sent to the central processor. After receiving the architecture optimization signal, the central processor sends the architecture optimization signal to the mobile phone terminal of the manager; if the architecture coefficient is less than the architecture threshold and the facility coefficient is less than the facility threshold, it is determined that the network architecture of the wireless interactive communication area meets the requirements; if the architecture coefficient is less than the architecture threshold and the facility coefficient is greater than or equal to the facility threshold, it is determined that the facility reserves of the wireless interactive communication area do not meet the requirements, a facility addition signal is generated and sent to the central processor. After receiving the facility addition signal, the central processor sends the facility addition signal to the mobile phone terminal of the manager.

[0018] As a preferred embodiment of the present invention, the specific process of the stability analysis module monitoring and analyzing the communication stability of the wireless interactive communication area includes: at the end of the monitoring period, the variance of the transmission coefficient CS of all monitoring time periods in the monitoring period is calculated to obtain the stability coefficient, the stability threshold is obtained through the storage module, the stability coefficient of the monitoring period is compared with the stability threshold, and whether the communication stability of the monitoring period meets the requirements is determined through the comparison result.

[0019] As a preferred embodiment of the present invention, the specific process of comparing the stability coefficient of the monitoring period with the stability threshold includes: if the stability coefficient is less than the stability threshold, it is determined that the communication stability within the monitoring period meets the requirements; if the stability coefficient is greater than or equal to the stability threshold, it is determined that the communication stability within the monitoring period does not meet the requirements, a network optimization signal is generated and the network optimization signal is sent to the central processor, and after receiving the network optimization signal, the central processor sends the network optimization signal to the mobile phone terminal of the administrator.

[0020] A wireless intelligent interactive communication method comprises the following steps:

[0021] Step 1: Monitor and analyze the data transmission status of wireless interactive communication: generate a monitoring cycle and divide the monitoring cycle into several monitoring periods, divide the wireless interactive communication area into several communication areas, obtain the uplink data SX, downlink data XX, lost data DS and delayed data YC of the communication area in the monitoring period, and perform numerical calculation to obtain the transmission coefficient CS of the monitoring period;

[0022] Step 2: Mark the communication area as an interference area or a normal area through the transmission coefficient CS, mark the ratio of the number of interference areas to the number of communication areas during the monitoring period as the interference coefficient of the monitoring period, and judge whether the overall communication status of the wireless interactive communication area meets the requirements through the interference coefficient;

[0023] Step 3: Analyze the network architecture of wireless interactive communication and obtain the architecture coefficient and facility coefficient. Use the architecture coefficient and facility coefficient to determine whether the network architecture layout of the wireless interactive communication area is reasonable and whether the facility reserve meets the requirements.

[0024] Step 4: Monitor and analyze the communication stability in the wireless interactive communication area: At the end of the monitoring period, calculate the variance of the transmission coefficient CS of all monitoring periods within the monitoring period to obtain the stability coefficient, and use the stability coefficient to determine whether the communication stability of the monitoring period meets the requirements.

[0025] The present invention has the following beneficial effects:

[0026] 1. The transmission monitoring module can monitor and analyze the data transmission status of wireless interactive communication. Multiple communication parameters of each communication area in each monitoring period are collected and analyzed in a regional and time-segment monitoring manner to obtain the transmission coefficient, so as to differentiate the communication area according to the transmission coefficient, and provide data support for the overall communication status determination;

[0027] 2. The architecture analysis module can be used to analyze the network architecture of wireless interactive communication, extract the distance value of each group of closest analysis objects in the wireless interactive communication area, and calculate the facility coefficient and architecture coefficient, so as to select the optimization direction of wireless data transmission in the wireless interactive communication area according to the facility coefficient and architecture coefficient, and improve the optimization efficiency of wireless data transmission;

[0028] 3. The stability analysis module can monitor and analyze the communication stability in the wireless interactive communication area. On the basis of transmission status monitoring, the discrete degree of the transmission coefficient in different monitoring periods is calculated to evaluate the communication stability of the monitoring period, so that timely feedback and early warning can be provided when the network transmission stability is poor. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0030] Figure 1 is a system block diagram of Embodiment 1 of the present invention;

[0031] Figure 2 This is a flow chart of the method of Embodiment 2 of the present invention. DETAILED DESCRIPTION

[0032] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0033] Embodiment 1

[0034] like Figure 1 As shown, a wireless intelligent interactive communication system includes a central processing unit, and the central processing unit is communicatively connected to a transmission monitoring module, an architecture analysis module, a stability analysis module and a storage module.

[0035] The transmission monitoring module is used to monitor and analyze the data transmission status of wireless interactive communication: generate a monitoring cycle and divide the monitoring cycle into several monitoring time periods, divide the wireless interactive communication area into several communication areas, obtain the uplink data SX, downlink data XX, lost data DS and delayed data YC of the communication area within the monitoring period, and the process of obtaining the uplink data SX includes: marking the data transmission process of the communication area as the uplink process, summing up the uplink speeds of all the uplink processes within the monitoring period and taking the average value to obtain the uplink data SX; the process of obtaining the downlink data XX includes: marking the data download process of the communication area as the downlink process, summing up the downlink speeds of all the downlink processes within the monitoring period and taking the average value to obtain the uplink data SX; the process of obtaining the downlink data XX includes: marking the data download process of the communication area as the downlink process, The downlink data XS is obtained by summing up the downlink speed and taking the average value; the process of obtaining the lost data DS includes: marking the number of data loss occurring in the monitoring period as the loss value, and marking the ratio of the loss value to the number of monitoring processes as the lost data DS; the process of obtaining the delayed data YC includes: marking the number of data delay occurring in the monitoring period as the delay value, and marking the ratio of the delay value to the number of monitoring processes as the delay data YC; the transmission coefficient CS of the monitoring period is obtained by the formula CS=(α1*SX+α2*XX) / (α3*DS+α4*YC), wherein α1, α2, α3 and α4 are all proportional coefficients, and α1>α2>α3>α4>1; the transmission coefficient CS of the monitoring period is obtained by the storage module Get the transmission threshold CSmin, compare the transmission coefficient CS of the monitoring period with the transmission threshold CSmin: if the transmission coefficient CS is less than the transmission threshold CSmin, it is determined that the wireless interactive communication state of the communication area does not meet the requirements, and the corresponding communication area is marked as an interference area; if the transmission coefficient CS is greater than or equal to the transmission threshold CSmin, it is determined that the wireless interactive communication state of the communication area meets the requirements, and the corresponding communication area is marked as a normal area; mark the ratio of the number of interference areas to the number of communication areas in the monitoring period as the interference coefficient of the monitoring period, obtain the interference threshold through the storage module, and compare the interference coefficient of the monitoring period with the interference threshold: if the interference coefficient is less than If the interference coefficient is greater than or equal to the interference threshold, it is determined that the overall communication status of the wireless interactive communication area meets the requirements; if the interference coefficient is greater than or equal to the interference threshold, it is determined that the overall communication status of the wireless interactive communication area does not meet the requirements, and an architecture analysis signal is generated and sent to the central processing unit. After receiving the architecture analysis signal, the central processing unit sends the architecture analysis signal to the architecture analysis module; the data transmission status of the wireless interactive communication is monitored and analyzed, and multiple communication parameters of each communication area in each monitoring time period are collected and analyzed in a manner of regional and time period monitoring to obtain the transmission coefficient, so as to differentiate the communication areas according to the transmission coefficient, so as to provide data support for the overall communication status determination.

[0036] The architecture analysis module is used to analyze the network architecture of wireless interactive communication: the network transmission nodes in the wireless interactive communication area are marked as analysis objects, an analysis object is selected as a benchmark object, the analysis object with the closest spatial distance to the benchmark object is marked as an associated object of the benchmark object, the straight-line distance value between the benchmark object and the associated object is marked as the communication value of the benchmark object, and then the next analysis object is selected as the benchmark object, until all analysis objects are used as benchmark objects and the corresponding communication values ​​are obtained, the communication values ​​of all analysis objects constitute a communication set, the variance of the communication set is calculated to obtain the architecture coefficient of the wireless interactive communication area, the communication values ​​of all analysis objects are summed and averaged to obtain the facility coefficient of the wireless interactive communication area, the architecture threshold and facility threshold are obtained through the storage module, and the architecture coefficient and facility coefficient of the wireless interactive communication area are compared with the architecture threshold and facility threshold respectively: if the architecture coefficient is greater than or equal to the architecture threshold, the network architecture layout of the wireless interactive communication area is determined. If the rationality does not meet the requirements, an architecture optimization signal is generated and sent to the central processor. After receiving the architecture optimization signal, the central processor sends the architecture optimization signal to the mobile terminal of the manager. If the architecture coefficient is less than the architecture threshold and the facility coefficient is less than the facility threshold, the network architecture of the wireless interactive communication area is determined to meet the requirements. If the architecture coefficient is less than the architecture threshold and the facility coefficient is greater than or equal to the facility threshold, the facility reserve in the wireless interactive communication area is determined to not meet the requirements, and a facility addition signal is generated and sent to the central processor. After receiving the facility addition signal, the central processor sends the facility addition signal to the mobile terminal of the manager. The network architecture of the wireless interactive communication is analyzed, and the distance value of each group of the closest analysis objects in the wireless interactive communication area is extracted and the facility coefficient and the architecture coefficient are calculated, so as to select the optimization direction of wireless data transmission in the wireless interactive communication area according to the facility coefficient and the architecture coefficient, thereby improving the optimization efficiency of wireless data transmission.

[0037] The stability analysis module is used to monitor and analyze the communication stability in the wireless interactive communication area: at the end of the monitoring period, the variance of the transmission coefficient CS of all monitoring periods in the monitoring period is calculated to obtain the stability coefficient, the stability threshold is obtained through the storage module, and the stability coefficient of the monitoring period is compared with the stability threshold: if the stability coefficient is less than the stability threshold, it is determined that the communication stability in the monitoring period meets the requirements; if the stability coefficient is greater than or equal to the stability threshold, it is determined that the communication stability in the monitoring period does not meet the requirements, and a network optimization signal is generated and sent to the central processor. After receiving the network optimization signal, the central processor sends the network optimization signal to the mobile phone terminal of the administrator; the communication stability in the wireless interactive communication area is monitored and analyzed, and on the basis of transmission status monitoring, the communication stability of the monitoring period is evaluated by calculating the discrete degree of the transmission coefficient in different monitoring periods, so that timely feedback and early warning can be provided when the network transmission stability is poor.

[0038] Embodiment 2

[0039] like Figure 2 As shown, a wireless intelligent interactive communication method comprises the following steps:

[0040] Step 1: Monitor and analyze the data transmission status of wireless interactive communication: generate a monitoring cycle and divide the monitoring cycle into several monitoring periods, divide the wireless interactive communication area into several communication areas, obtain the uplink data SX, downlink data XX, lost data DS and delayed data YC of the communication area in the monitoring period, and perform numerical calculation to obtain the transmission coefficient CS of the monitoring period;

[0041] Step 2: Mark the communication area as an interference area or a normal area through the transmission coefficient CS, mark the ratio of the number of interference areas to the number of communication areas during the monitoring period as the interference coefficient of the monitoring period, and judge whether the overall communication status of the wireless interactive communication area meets the requirements through the interference coefficient;

[0042] Step 3: Analyze the network architecture of wireless interactive communication and obtain the architecture coefficient and facility coefficient. Use the architecture coefficient and facility coefficient to determine whether the network architecture layout of the wireless interactive communication area is reasonable and whether the facility reserve meets the requirements.

[0043] Step 4: Monitor and analyze the communication stability in the wireless interactive communication area: At the end of the monitoring period, calculate the variance of the transmission coefficient CS of all monitoring periods within the monitoring period to obtain the stability coefficient, and use the stability coefficient to determine whether the communication stability of the monitoring period meets the requirements.

[0044] A wireless intelligent interactive communication method generates a monitoring cycle and divides the monitoring cycle into a plurality of monitoring time periods, divides a wireless interactive communication area into a plurality of communication areas, obtains uplink data SX, downlink data XX, lost data DS and delayed data YC of the communication area in the monitoring time period and performs numerical calculation to obtain a transmission coefficient CS of the monitoring time period; marks the communication area as an interference area or a normal area by the transmission coefficient CS, marks the ratio of the number of interference areas to the number of communication areas in the monitoring time period as the interference coefficient of the monitoring time period, and determines whether the overall communication state of the wireless interactive communication area meets the requirements by the interference coefficient; analyzes the network architecture of the wireless interactive communication and obtains the architecture coefficient and the facility coefficient, and determines whether the network architecture layout of the wireless interactive communication area meets the requirements by the architecture coefficient and the facility coefficient; performs variance calculation on the transmission coefficient CS of all monitoring time periods in the monitoring cycle at the end of the monitoring cycle to obtain a stability coefficient, and determines whether the communication stability of the monitoring cycle meets the requirements by the stability coefficient.

[0045] In a specific embodiment, the wireless intelligent interactive communication system of the present invention includes but is not limited to a network lightning protection module and a power failure monitoring module;

[0046] The network lightning protection module is used to protect the electrical equipment in the network system from lightning overvoltage, operation overvoltage, and power frequency transient overvoltage to prevent them from being damaged;

[0047] Further, the network lightning protection module includes but is not limited to a protection gap, a valve type lightning arrester and a zinc oxide lightning arrester;

[0048] The power failure monitoring module is used to detect the power status of the communication device in real time, and can respond quickly and trigger corresponding alarm or control mechanisms when a power failure is detected;

[0049] Furthermore, the power outage monitoring module also has data recording and analysis functions, which can manage the collected data. Through data analysis, it helps to discover potential problems of communication equipment and perform maintenance and repairs in a timely manner, thereby improving the reliability and operating efficiency of communication equipment.

[0050] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

[0051] The above formulas are obtained by collecting a large amount of data for software simulation and selecting a formula close to the real value. The coefficients in the formula are set by technicians in this field according to the actual situation; for example: formula CS = (α1*SX+α2*XX) / (α3*DS+α4*YC); technicians in this field collect multiple groups of sample data and set corresponding transmission coefficients for each group of sample data; substitute the set transmission coefficients and the collected sample data into the formula, any four formulas constitute a four-variable linear equation system, screen the calculated coefficients and take the average, and obtain the values ​​of α1, α2, α3 and α4 as 3.62, 3.25, 2.83 and 2.14 respectively;

[0052] The size of the coefficient is to quantify each parameter to obtain a specific value for subsequent comparison. The size of the coefficient depends on the amount of sample data and the preliminary setting of the corresponding transmission coefficient for each group of sample data by technical personnel in this field; as long as it does not affect the proportional relationship between the parameter and the quantized value, such as the transmission coefficient is proportional to the value of the uplink data.

[0053] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0054] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A wireless intelligent interactive communication system, characterized in that: It includes a central processing unit, and the central processing unit is communicatively connected with a transmission monitoring module, an architecture analysis module, a stability analysis module and a storage module; The transmission monitoring module is used to monitor and analyze the data transmission status of wireless interactive communication: generate a monitoring cycle and divide the monitoring cycle into several monitoring time periods, divide the wireless interactive communication area into several communication areas, obtain the uplink data SX, downlink data XX, lost data DS and delayed data YC of the communication area in the monitoring period; obtain the transmission coefficient CS of the monitoring period by numerically calculating the uplink data SX, downlink data XX, lost data DS and delayed data YC; The communication area is marked as a normal area or an interference area by the transmission coefficient CS; the ratio of the number of interference areas to the number of communication areas in the monitoring period is marked as the interference coefficient of the monitoring period, and the overall communication status of the wireless interactive communication area is judged by the interference coefficient to determine whether it meets the requirements; The architecture analysis module is used to analyze the network architecture of wireless interactive communication and obtain the architecture coefficient and facility coefficient, obtain the architecture threshold and facility threshold through the storage module, compare the architecture coefficient and facility coefficient of the wireless interactive communication area with the architecture threshold and facility threshold respectively, and judge the rationality of the network architecture layout of the wireless interactive communication area and whether the facility reserve meets the requirements through the comparison results; The stability analysis module is used to monitor and analyze the communication stability in the wireless interactive communication area; The process of obtaining the architecture coefficient and the facility coefficient includes: marking the network transmission nodes in the wireless interactive communication area as analysis objects, selecting an analysis object as a benchmark object, marking the analysis object that is closest to the benchmark object in space as an associated object of the benchmark object, marking the straight-line distance value between the benchmark object and the associated object as the communication value of the benchmark object, and then selecting the next analysis object as the benchmark object, until all analysis objects are used as benchmark objects and the corresponding communication values ​​are obtained, forming a communication set from the communication values ​​of all analysis objects, calculating the variance of the communication set to obtain the architecture coefficient of the wireless interactive communication area, and summing and averaging the communication values ​​of all analysis objects to obtain the facility coefficient of the wireless interactive communication area.

2. A wireless intelligent interactive communication system according to claim 1, characterized in that: The process of obtaining the uplink data SX includes: marking the data transmission process in the communication area as the uplink process, summing and averaging the uplink speeds of all uplink processes in the monitoring period to obtain the uplink data SX; the process of obtaining the downlink data XX includes: marking the data download process in the communication area as the downlink process, summing and averaging the downlink speeds of all downlink processes in the monitoring period to obtain the downlink data XS.

3. A wireless intelligent interactive communication system according to claim 2, characterized in that: The process of obtaining the lost data DS includes: marking the number of times data loss occurs during the monitoring period as the lost value, and marking the ratio of the lost value to the number of monitoring processes as the lost data DS; the process of obtaining the delayed data YC includes: marking the number of times data delay occurs during the monitoring period as the delay value, and marking the ratio of the delay value to the number of monitoring processes as the delayed data YC.

4. A wireless intelligent interactive communication system according to claim 3, characterized in that: The specific process of marking a communication area as a normal area or an interference area includes: obtaining the transmission threshold CSmin through the storage module, and comparing the transmission coefficient CS of the monitoring period with the transmission threshold CSmin: if the transmission coefficient CS is less than the transmission threshold CSmin, it is determined that the wireless interactive communication state of the communication area does not meet the requirements, and the corresponding communication area is marked as an interference area; if the transmission coefficient CS is greater than or equal to the transmission threshold CSmin, it is determined that the wireless interactive communication state of the communication area meets the requirements, and the corresponding communication area is marked as a normal area.

5. A wireless intelligent interactive communication system according to claim 4, characterized in that: The specific process of determining whether the overall communication status of the wireless interactive communication area meets the requirements includes: obtaining the interference threshold through the storage module, and comparing the interference coefficient of the monitoring period with the interference threshold: if the interference coefficient is less than the interference threshold, it is determined that the overall communication status of the wireless interactive communication area meets the requirements; if the interference coefficient is greater than or equal to the interference threshold, it is determined that the overall communication status of the wireless interactive communication area does not meet the requirements, generating an architecture analysis signal and sending the architecture analysis signal to the central processing unit, and after receiving the architecture analysis signal, the central processing unit sends the architecture analysis signal to the architecture analysis module.

6. A wireless intelligent interactive communication system according to claim 5, characterized in that: The specific process of comparing the architecture coefficient and facility coefficient of the wireless interactive communication area with the architecture threshold and facility threshold respectively includes: if the architecture coefficient is greater than or equal to the architecture threshold, it is determined that the rationality of the network architecture layout of the wireless interactive communication area does not meet the requirements, and an architecture optimization signal is generated and sent to the central processor. After receiving the architecture optimization signal, the central processor sends the architecture optimization signal to the mobile terminal of the manager; if the architecture coefficient is less than the architecture threshold and the facility coefficient is less than the facility threshold, it is determined that the network architecture of the wireless interactive communication area meets the requirements; if the architecture coefficient is less than the architecture threshold and the facility coefficient is greater than or equal to the facility threshold, it is determined that the facility reserves of the wireless interactive communication area do not meet the requirements, a facility addition signal is generated and sent to the central processor. After receiving the facility addition signal, the central processor sends the facility addition signal to the mobile terminal of the manager.

7. A wireless intelligent interactive communication system according to claim 6, characterized in that: The specific process of the stability analysis module monitoring and analyzing the communication stability in the wireless interactive communication area includes: at the end of the monitoring period, the variance of the transmission coefficient CS of all monitoring periods in the monitoring period is calculated to obtain the stability coefficient, the stability threshold is obtained through the storage module, the stability coefficient of the monitoring period is compared with the stability threshold, and the comparison result is used to determine whether the communication stability of the monitoring period meets the requirements.

8. A wireless intelligent interactive communication system according to claim 7, characterized in that: The specific process of comparing the stability coefficient of the monitoring period with the stability threshold includes: if the stability coefficient is less than the stability threshold, it is determined that the communication stability within the monitoring period meets the requirements; if the stability coefficient is greater than or equal to the stability threshold, it is determined that the communication stability within the monitoring period does not meet the requirements, a network optimization signal is generated and sent to the central processor, and after receiving the network optimization signal, the central processor sends the network optimization signal to the mobile phone terminal of the administrator.

9. A wireless intelligent interactive communication method, characterized in that: The following steps are involved: Step 1: Monitor and analyze the data transmission status of wireless interactive communication: generate a monitoring cycle and divide the monitoring cycle into several monitoring periods, divide the wireless interactive communication area into several communication areas, obtain the uplink data SX, downlink data XX, lost data DS and delayed data YC of the communication area in the monitoring period, and perform numerical calculation to obtain the transmission coefficient CS of the monitoring period; Step 2: Mark the communication area as an interference area or a normal area through the transmission coefficient CS, mark the ratio of the number of interference areas to the number of communication areas during the monitoring period as the interference coefficient of the monitoring period, and judge whether the overall communication status of the wireless interactive communication area meets the requirements through the interference coefficient; Step 3: Analyze the network architecture of wireless interactive communication and obtain the architecture coefficient and facility coefficient. Use the architecture coefficient and facility coefficient to determine whether the network architecture layout of the wireless interactive communication area is reasonable and whether the facility reserve meets the requirements. Step 4: Monitor and analyze the communication stability of the wireless interactive communication area: At the end of the monitoring period, the variance of the transmission coefficient CS of all monitoring periods in the monitoring period is calculated to obtain the stability coefficient, and the communication stability of the monitoring period is judged by the stability coefficient to determine whether it meets the requirements; The process of obtaining the architecture coefficient and the facility coefficient includes: marking the network transmission nodes in the wireless interactive communication area as analysis objects, selecting an analysis object as a benchmark object, marking the analysis object that is closest to the benchmark object in space as an associated object of the benchmark object, marking the straight-line distance value between the benchmark object and the associated object as the communication value of the benchmark object, and then selecting the next analysis object as the benchmark object, until all analysis objects are used as benchmark objects and the corresponding communication values ​​are obtained, forming a communication set from the communication values ​​of all analysis objects, calculating the variance of the communication set to obtain the architecture coefficient of the wireless interactive communication area, and summing and averaging the communication values ​​of all analysis objects to obtain the facility coefficient of the wireless interactive communication area.

Citation Information

Patent Citations

  • LSN base station communication rate adaptive adjustment method applied to ecological monitoring

    CN113873579A

  • Visual intelligent management system for environmental protection equipment based on data transmission

    CN116187980A