Data transmission method and system applied to limited space

Abstract

The invention belongs to the technical field of data communication transmission, and particularly relates to a data transmission method and system applied to a limited space, and the method comprises the steps: obtaining a transmission relay node layout scheme, an edge computing node layout scheme, a to-be-transmitted data compression scheme and a bandwidth dynamic distribution result through comparison; based on an edge computing node layout scheme, a transmission relay node layout scheme, a to-be-transmitted data compression scheme and a bandwidth dynamic allocation result, a to-be-transmitted data transmission result is analyzed to obtain a transmission result evaluation value, and a to-be-transmitted data transmission environment state is analyzed and compared to obtain a transmission result reference evaluation value. And judging whether the to-be-transmitted data transmission result is qualified or not. According to the invention, the problems that the existing wireless communication technology cannot meet the requirements in a limited space and the traditional data transmission method in the limited space is insufficient in adaptive capacity are solved, the data transmission efficiency can be improved, and the reliability and accuracy of data transmission are ensured.

Description

Technical Field

[0001] The present invention belongs to the technical field of data communication transmission, and in particular relates to a data transmission method and system applied to a limited space. Background Art

[0002] Confined spaces are usually closed or semi-closed environments, such as cable tunnels, underground pipelines, corridors, etc. The narrow space and curved passages will interfere with or attenuate the propagation of wireless signals. Confined space operations require the collection of various types of data, such as audio and video data, environmental data (temperature, humidity, gas concentration, etc.), sensor data, etc. These data need to be transmitted to the ground or other monitoring centers in real time or quasi-real time. In order to ensure safe and efficient operations, the transmission of these data needs to be highly reliable, especially for audio and video data and key environmental monitoring data. In underground or confined spaces, conventional wireless network (such as Wi-Fi, 4G / 5G) signals may be severely attenuated or even completely unable to cover. How to ensure continuous and stable transmission of data becomes a key issue.

[0003] At present, there are still some shortcomings in the research on a data transmission method applied to confined spaces. Specifically, due to problems such as signal attenuation, the transmission distance and quality of existing wireless communication technologies (such as Wi-Fi, Bluetooth, etc.) are limited in confined spaces and cannot meet the requirements. In addition, due to the diversity and complexity of application scenarios, traditional confined space data transmission methods have insufficient adaptability, and signals are easily attenuated or multipath effects occur, resulting in poor data transmission quality; data cannot be effectively transmitted from deep or remote work sites to receiving terminals, especially in long-distance underground tunnels or deep underground facilities. Traditional methods have insufficient adaptability and may perform poorly in different types of confined space scenarios. In the construction of underground pipelines and tunnels, different structural layouts, materials and wireless interference situations need to be dealt with. Traditional methods cannot provide a universal solution, resulting in limitations in practical applications. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention provides a data transmission method and system for use in a limited space, which can improve the efficiency of data transmission and ensure the reliability and accuracy of data transmission.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: A data transmission method applied to a limited space, comprising the following steps:

[0006] Analyze the basic information of the limited space and compare it to get the layout plan of the transmission relay nodes;

[0007] Analyze the basic information of the transmission link and compare it to get the edge computing node deployment plan;

[0008] Analyze the basic information of the data to be transmitted, and compare to obtain the compression scheme of the data to be transmitted and the result of dynamic bandwidth allocation;

[0009] Based on the edge computing node deployment plan, the transmission relay node deployment plan, the data compression plan to be transmitted and the dynamic bandwidth allocation results, the data transmission results to be transmitted are analyzed to obtain the transmission result evaluation value;

[0010] Analyze the state of the data transmission environment to be transmitted, and compare the transmission result with the reference evaluation value;

[0011] Combined with the transmission result evaluation value and the transmission result reference evaluation value, determine whether the data transmission result to be transmitted is qualified.

[0012] Preferably, the comparison obtains a transmission relay node deployment scheme, and the analysis process is:

[0013] Obtain a dataset of basic information about the confined space, including the area of ​​the confined space, the decibel value of the background noise in the confined space, the air velocity in the confined space, and the thickness of the wall in the confined space;

[0014] The area of ​​the confined space, the decibel value of the background noise in the confined space, the air flow rate in the confined space, and the thickness of the wall in the confined space are stored as designated tags, and the designated tags are compared with the transmission relay node layout plans corresponding to the designated tags stored in the database to obtain the transmission relay node layout plan corresponding to the designated tags.

[0015] Preferably, the comparison obtains an edge computing node deployment plan, and the analysis process is:

[0016] Obtaining a data set of basic information of the transmission link, including the total length of the transmission link, the transmission rate of the transmission link, and the failure rate of the transmission link;

[0017] Based on the acquired transmission link basic information data set, a comprehensive analysis is performed to obtain the transmission link characteristic value, which is used as the analysis basis for comparing the edge computing node deployment plan;

[0018] The transmission link characteristic value is compared with the edge computing node deployment plan corresponding to each transmission link characteristic value stored in the database to obtain the edge computing node deployment plan corresponding to the transmission link characteristic value.

[0019] Preferably, the comparison obtains the data compression scheme to be transmitted and the result of the dynamic bandwidth allocation, and the analysis process is:

[0020] Obtain a data set of basic information of the data to be transmitted, including the total number of bytes of the data to be transmitted, the number of statements of the data to be transmitted, and the data flow rate of the data to be transmitted;

[0021] Based on the acquired data set of basic information of the data to be transmitted, a comprehensive analysis is performed to obtain a characteristic value of the basic information of the data to be transmitted, and the characteristic value of the basic information of the data to be transmitted is used as an analysis basis for comparing and obtaining a compression scheme for the data to be transmitted and a result of dynamic bandwidth allocation;

[0022] The basic information characteristic value of the data to be transmitted is compared with the compression scheme for the data to be transmitted and the dynamic bandwidth allocation result corresponding to each basic information characteristic value of the data to be transmitted stored in the database to obtain the compression scheme for the data to be transmitted and the dynamic bandwidth allocation result corresponding to the basic information characteristic value of the data to be transmitted.

[0023] Preferably, the data transmission result to be transmitted is analyzed, and the analysis process is:

[0024] Obtaining a data transmission result data set to be transmitted, including a data transmission delay to be transmitted, a data transmission packet loss rate to be transmitted, and a data transmission error rate to be transmitted;

[0025] Based on the acquired data transmission result data set to be transmitted, a transmission result evaluation value is obtained through comprehensive analysis, and the transmission result evaluation value is used as an analysis basis for judging whether the data transmission result to be transmitted is qualified.

[0026] Preferably, the transmission result evaluation value is obtained by:

[0027]

[0028] Wherein, δ is the evaluation value of the transmission result, sy is the transmission delay of the data to be transmitted, db is the packet loss rate of the data to be transmitted, cw is the error rate of the data to be transmitted, σ1 is the compensation factor of the set sy, σ2 is the compensation factor of the set db, σ3 is the compensation factor of the set cw, and e is a natural constant.

[0029] Preferably, the comparison obtains the transmission result with reference to the evaluation value, and the analysis process is:

[0030] Obtain the transmission environment status data set, including the transmission environment temperature, transmission environment air pressure, and transmission environment electromagnetic intensity;

[0031] Based on the acquired transmission environment status data set, a comprehensive analysis is performed to obtain a transmission environment status characteristic value, and the transmission environment status characteristic value is used as an analysis basis for comparing the transmission result reference evaluation value;

[0032] The transmission environment state characteristic value is compared with the transmission result reference evaluation value corresponding to each transmission environment state characteristic value stored in the database to obtain the transmission result reference evaluation value corresponding to the transmission environment state characteristic value.

[0033] Preferably, the transmission environment state characteristic value is obtained by:

[0034]

[0035] Wherein, ω is the characteristic value of the transmission environment state, wd is the transmission environment temperature, qy is the transmission environment air pressure, dc is the transmission environment electromagnetic intensity, τ1 is the compensation factor of the set wd, τ2 is the compensation factor of the set qy, and τ3 is the compensation factor of the set dc.

[0036] Preferably, the analysis process of judging whether the data transmission result to be transmitted is qualified is as follows:

[0037] comparing the transmission result evaluation value with the transmission result reference evaluation value stored in the database;

[0038] If the transmission result evaluation value is not lower than the transmission result reference evaluation value, the data transmission result to be transmitted corresponding to the transmission result evaluation value is qualified;

[0039] If the transmission result evaluation value is lower than the transmission result reference evaluation value, the data transmission result to be transmitted corresponding to the transmission result evaluation value is unqualified and the data to be transmitted needs to be retransmitted.

[0040] A data transmission system applied to a limited space, applied to the above method, comprises a relay node layout scheme comparison module, an edge computing node layout scheme comparison module, a to-be-transmitted data analysis module, a transmission result evaluation value acquisition module, a transmission result reference evaluation value comparison module and a transmission result qualified judgment module, wherein:

[0041] The relay node layout scheme comparison module is used to analyze the basic information of the limited space and compare to obtain the transmission relay node layout scheme;

[0042] The edge computing node deployment plan comparison module is used to analyze the basic information of the transmission link and compare the edge computing node deployment plan;

[0043] The data analysis module to be transmitted is used to analyze the basic information of the data to be transmitted, and compare to obtain the compression scheme of the data to be transmitted and the result of dynamic bandwidth allocation;

[0044] The transmission result evaluation value acquisition module is used to analyze the data transmission results to be transmitted based on the edge computing node deployment plan, the transmission relay node deployment plan, the data compression plan to be transmitted and the bandwidth dynamic allocation result to obtain the transmission result evaluation value;

[0045] The transmission result reference evaluation value comparison module is used to analyze the state of the data transmission environment to be transmitted and obtain the transmission result reference evaluation value by comparison;

[0046] The transmission result qualification judgment module is used to judge whether the data transmission result to be transmitted is qualified by combining the transmission result evaluation value and the transmission result reference evaluation value.

[0047] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects:

[0048] The present invention compares the transmission relay node deployment scheme by analyzing the basic information of the limited space, can optimize the position and number of relay nodes, effectively improve the signal coverage, reduce signal attenuation and data loss, analyzes the basic information of the transmission link, can find the best edge computing node deployment position, reduce the data transmission distance and delay, improve processing efficiency, analyzes the basic information of the data to be transmitted, determines the appropriate compression scheme and dynamic bandwidth allocation, can adjust according to the actual data flow and network status, improves the efficiency of data transmission, analyzes the transmission result data and the environmental status, calculates the transmission result evaluation value and the reference evaluation value, can accurately judge whether the transmission result meets the expected standard, and ensures the reliability and accuracy of data transmission.

[0049] The present invention analyzes the basic information of the transmission link and obtains the edge computing node layout plan by comparison. Analyzing the basic information of the transmission link can help determine the optimal edge computing node layout location, so that data processing is closer to the data source, thereby reducing the physical distance from the data collection point to the processing point, optimizing the location of the edge computing node, and maximizing the use of existing transmission link resources, reducing unnecessary long-distance transmission, improving the transmission efficiency of the network, preventing single point failures, and improving the overall reliability and fault tolerance of the system.

[0050] The present invention analyzes the basic information of the data to be transmitted, compares the compression scheme of the data to be transmitted and the result of dynamic bandwidth allocation, analyzes the characteristics of the data to be transmitted, and can select a suitable data compression algorithm to effectively reduce the volume of the data, reduce the occupied bandwidth and transmission time, and improve the transmission efficiency of data in a limited space, especially in an environment with limited bandwidth resources (such as an underground tunnel or pipeline). According to the data status, the bandwidth is dynamically allocated so that different types of data transmission can obtain reasonable bandwidth resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 It is a schematic diagram of the method steps of the present invention;

[0052] Figure 2 It is a schematic diagram of system module connection of the present invention;

[0053] Figure 3 A three-dimensional image of the change of the characteristic value of the basic information of the data to be transmitted along with the data flow rate of the data to be transmitted and the compensation factor of the data flow rate of the data to be transmitted;

[0054] Figure 4 An image showing how the characteristic value of the basic information of the data to be transmitted changes with the data flow rate of the data to be transmitted;

[0055] Figure 5 It is an image showing how the transmission result evaluation value changes with the transmission delay of the data to be transmitted. DETAILED DESCRIPTION

[0056] The technical solutions in the embodiments of the present invention are clearly and completely described below in conjunction with the accompanying drawings.

[0057] Example 1

[0058] like Figure 1 As shown, a data transmission method applied to a limited space includes the following steps: analyzing basic information of the limited space and obtaining a transmission relay node deployment plan by comparison.

[0059] The specific analysis process is as follows: obtaining a basic information data set of a confined space, which specifically includes the area of ​​the confined space, the decibel value of the background noise in the confined space, the air flow rate in the confined space, and the thickness of the wall in the confined space; storing the area of ​​the confined space, the decibel value of the background noise in the confined space, the air flow rate in the confined space, and the thickness of the wall in the confined space as designated tags, and comparing the designated tag with the transmission relay node layout plan corresponding to each designated tag stored in the database to obtain the transmission relay node layout plan corresponding to the designated tag.

[0060] The area of ​​a confined space refers to the plane size within a confined area (such as a cable tunnel, underground pipeline or corridor, etc.), usually expressed in square meters. A laser rangefinder or ultrasonic rangefinder is used to measure the length and width of the space, and then the area is calculated; the background noise decibel value indicates the intensity of the environmental noise in the confined space, usually expressed in decibels (dB). Background noise includes the sound of mechanical equipment operation, electromagnetic noise, wind noise, etc. A sound level meter or decibel meter is used to measure the environmental noise in real time; air velocity refers to the flow speed of air in a confined space, usually in meters per second (m / s). The size of the air velocity affects the propagation of signals (especially wireless signals) and the diffusion of gaseous pollutants in the air. Anemometers or air volume meters can measure the air velocity at a specific point; wall thickness refers to the thickness of walls or other barriers in a confined space, usually expressed in meters (m) or centimeters (cm). The wall thickness affects the penetration and reflection performance of wireless signals. An ultrasonic thickness gauge or electromagnetic wave reflectometer is used to measure the thickness of walls or barriers.

[0061] The limited space area determines the range and path of signal propagation. The wall thickness and background noise affect the reflection, absorption and interference of the signal. The air flow rate may cause the propagation of wireless signals to be affected by particulate matter or gas flow in the air. A higher background noise decibel value will interfere with the wireless signal and affect the communication quality. The air flow rate may aggravate the propagation of sound and the diffusion of environmental noise, making the noise interference stronger. The wall thickness has a direct impact on the penetration and reflection characteristics of wireless signals. Thicker walls may cause stronger signal reflection and poorer penetration, thus requiring more relay nodes to ensure coverage.

[0062] The above analysis of parameters such as the area, noise level, air flow rate and wall thickness of the limited space can determine the propagation characteristics and signal attenuation of the signal in the space. According to factors such as the background noise decibel value and wall thickness, the degree of signal attenuation and potential interference sources can be predicted, thereby optimizing the layout of relay nodes. It can also reduce unnecessary energy consumption, extend the service life of relay equipment, and reduce maintenance costs, which is especially important in limited spaces such as cable tunnels and underground pipelines. By accurately comparing the limited space information with the existing solutions in the database, the optimal relay node layout plan can be selected, thereby reducing the complexity and delay of the data transmission path, improving the data transmission speed and efficiency, meeting the requirements of real-time data transmission, and is suitable for scenes that require efficient transmission such as audio and video data acquisition and environmental monitoring.

[0063] The basic information of the transmission link is analyzed and compared to obtain the edge computing node deployment plan.

[0064] The specific analysis process is as follows: obtaining a data set of basic information on the transmission link, which specifically includes the total length of the transmission link, the transmission rate of the transmission link, and the failure rate of the transmission link; based on the obtained data set of basic information on the transmission link, a comprehensive analysis is performed to obtain a characteristic value of the transmission link, and the characteristic value of the transmission link is used as an analysis basis for comparing and obtaining an edge computing node deployment plan; the characteristic value of the transmission link is compared with the edge computing node deployment plan corresponding to each transmission link characteristic value stored in the database to obtain the edge computing node deployment plan corresponding to the characteristic value of the transmission link.

[0065] The above-mentioned total length of the transmission link refers to the physical distance of the data transmission path. In a limited space (such as an underground tunnel or pipeline), it refers to the length of the communication path from a data collection point to a data receiving end, and is obtained using a geographic information system (GIS) device. The transmission link transmission rate refers to the speed at which data is transmitted on a communication link, generally measured in bits per second (bps) or bytes per second (Bps), depending on the type of communication technology, the quality of the link, and the bandwidth. It is obtained using a network speed meter. The transmission link failure rate refers to the frequency of failures (such as signal loss, bit error, etc.) occurring during the communication process, and is usually expressed as the ratio of the number of failures to the total transmission time. A higher failure rate means unstable transmission or poor link quality, and is obtained based on network monitoring equipment.

[0066] The longer the total length of the link, the greater the possibility that the signal will be attenuated and delayed during transmission, resulting in a decrease in the transmission rate. The total length of the link and the transmission rate are usually inversely proportional. In a limited space, long distances may require relay nodes or signal amplifiers to maintain the transmission rate. The longer the total length of the link, the more attenuation and interference there will be in the transmission signal, which may lead to an increase in the failure rate. In a cable tunnel or pipe, the signal is affected by factors such as wall reflection, obstruction, and environmental noise. A longer transmission path increases the possibility of failure. A higher transmission rate usually requires support from a higher quality communication link. If the link quality is poor or the signal interference is large, increasing the transmission rate may lead to a higher failure rate. A lower rate may be more stable with a relatively low failure rate. It is necessary to find a balance between rate and failure rate to ensure stable and reliable data transmission.

[0067] By obtaining the basic information data of the transmission link (such as total length, transmission rate, and failure rate), the characteristic values ​​of the transmission link can be comprehensively analyzed, which can help determine the bottlenecks and weak points of data transmission, and clarify the location and number of edge computing nodes that need to be deployed to minimize signal attenuation, interference, and delay, and improve the stability and efficiency of data transmission. The reasonable deployment of edge computing nodes can share the load of the central server, provide localized data processing capabilities, and reduce packet loss, errors, and retransmissions caused by link failures or signal weakening during data transmission, thereby improving the reliability and stability of data transmission. By comparing the characteristic values ​​of the transmission link, the optimal node deployment plan can be found to avoid unnecessary increase or reduction of nodes.

[0068] The above transmission link characteristic value is obtained as follows:

[0069]

[0070] Wherein, α is the characteristic value of the transmission link, zd is the total length of the transmission link, cs is the transmission rate of the transmission link, gz is the failure rate of the transmission link, ε1 is the compensation factor of the set zd, ε2 is the compensation factor of the set cs, ε3 is the compensation factor of the set gz, and e is a natural constant.

[0071] The above transmission link characteristic values ​​are calculated through the total length of the transmission link, the transmission rate of the transmission link, and the failure rate of the transmission link. After zd, cs, and gz are normalized, the calculated transmission link characteristic values ​​can provide a comprehensive evaluation of the link performance, covering multiple aspects such as the link length, transmission speed, and failure rate. The comprehensive evaluation can help determine the overall quality and reliability of the link. By using the transmission link characteristic values, more targeted decisions can be made in the network design and planning stage, and the impact of the total link length on signal attenuation, the impact of the transmission rate on bandwidth requirements, and the impact of the failure rate on link reliability can be understood. Problems in the link, such as signal attenuation, insufficient bandwidth, or frequent failures, can be identified, which helps to formulate more effective link maintenance and management strategies.

[0072] The compensation factors of zd, cs, and gz set above are obtained from the database. A mapping set of the historically measured total length of the transmission link, the transmission rate of the transmission link, the transmission link failure rate and the compensation factors of zd, cs, and gz is established according to the historical data to obtain the compensation factors of zd, cs, and gz corresponding to the current zd, cs, and gz.

[0073] μ1, μ2, μ3, σ1, σ2, σ3, τ1, τ2, and τ3 mentioned below are also obtained through a mapping set of historical data and compensation factors established in a database, that is, the corresponding compensation factors are obtained based on the current data.

[0074] The basic information of the data to be transmitted is analyzed and compared to obtain the compression scheme of the data to be transmitted and the result of dynamic bandwidth allocation.

[0075] The specific analysis process is as follows: obtaining a data set of basic information of data to be transmitted, the data set of basic information of data to be transmitted specifically including the total number of bytes of data to be transmitted, the number of data statements to be transmitted, and the data flow rate of data to be transmitted; based on the obtained data set of basic information of data to be transmitted, a comprehensive analysis is performed to obtain a characteristic value of the basic information of the data to be transmitted, and the characteristic value of the basic information of the data to be transmitted is used as an analysis basis for comparing and obtaining a compression scheme for the data to be transmitted and a result of dynamic bandwidth allocation; comparing the characteristic value of the basic information of the data to be transmitted with the compression scheme for the data to be transmitted and the result of dynamic bandwidth allocation corresponding to each characteristic value of the basic information of the data to be transmitted stored in a database, and obtaining a compression scheme for the data to be transmitted and a result of dynamic bandwidth allocation corresponding to the characteristic value of the basic information of the data to be transmitted.

[0076] The above-mentioned total number of bytes of data to be transmitted refers to the total number of bytes of all data to be transmitted during the data transmission process, including the sum of bytes of all data files, messages, records, etc. to be transmitted, and is obtained based on the attributes of the data files; the number of data sentences to be transmitted refers to the number of independent data units contained in the data, such as the number of records in the database, the number of sentences in the text, etc., and is obtained based on database queries; the data flow rate of the data to be transmitted refers to the data transmission speed per unit time, usually in bytes / second (Bps) or bits / second (bps), and is obtained based on network monitoring tools.

[0077] The relationship between the total number of bytes and the data flow rate is reflected in the calculation of transmission time. Given the total number of bytes and the data flow rate, the time required for data transmission can be calculated. Transmission time = total number of bytes / data flow rate. The total number of bytes and the number of statements are usually related, but not in a direct linear relationship. The size of different statements or records can vary. Therefore, the relationship between the total number of bytes and the number of statements depends on the average size of each statement. The data flow rate affects the transmission speed of data, which in turn affects the number of statements that can be transmitted in a certain period of time. The transmission rate of the number of statements = data flow rate / average size of each statement.

[0078] By analyzing the characteristic values ​​of the data to be transmitted as described above, a suitable compression algorithm can be selected to reduce the volume of the data, thereby improving transmission efficiency. The compressed data occupies less bandwidth, reducing transmission time and bandwidth consumption. The bandwidth allocation is dynamically adjusted according to the data flow rate and the total number of bytes to ensure that bandwidth resources are reasonably utilized during data transmission. By comparing the basic information characteristic values ​​of the data to be transmitted with the solutions in the database, the compression and bandwidth allocation solution that best suits the current data type and network conditions can be found. Data compression reduces the amount of data that needs to be transmitted, directly reducing the transmission time, thereby reducing latency, improving the stability of data transmission, reducing the risk of data loss and transmission errors, and ensuring high availability of the system.

[0079] The basic information characteristic value of the above-mentioned data to be transmitted is obtained in the following way:

[0080]

[0081] Wherein, β is the characteristic value of the basic information of the data to be transmitted, zj is the total number of bytes of the data to be transmitted, yj is the number of statements of the data to be transmitted, ls is the data flow rate of the data to be transmitted, μ1 is the compensation factor of zj, μ2 is the compensation factor of yj, and μ3 is the compensation factor of ls.

[0082] like Figure 3 , Figure 4As shown, the characteristic value of the basic information of the data to be transmitted decreases as the data flow rate of the data to be transmitted increases. The above-mentioned characteristic value of the basic information of the data to be transmitted is calculated by the total number of bytes of the data to be transmitted, the number of statements of the data to be transmitted, and the data flow rate of the data to be transmitted. zj, yj, and ls are normalized. By calculating the characteristic value of the basic information of the data to be transmitted, the compression demand of the data can be evaluated. The characteristic value can help select appropriate data compression algorithms and parameters, thereby optimizing the data compression effect and reducing the amount of transmitted data. The characteristic value of the basic information of the data to be transmitted can help dynamically adjust the bandwidth allocation. The total number of data bytes and the flow rate can help predict the data transmission demand and reasonably allocate network bandwidth resources. By using the characteristic value of the basic information of the data to be transmitted, more effective transmission strategies can be formulated, such as segmented transmission, parallel transmission, etc., which help to improve transmission efficiency and reduce data loss and transmission delay.

[0083] Based on the edge computing node deployment plan, the transmission relay node deployment plan, the data compression plan to be transmitted and the dynamic bandwidth allocation results, the data transmission results to be transmitted are analyzed to obtain the transmission result evaluation value.

[0084] The specific analysis process is: obtaining a data set of data transmission results to be transmitted, which specifically includes the data transmission delay to be transmitted, the data transmission packet loss rate to be transmitted, and the data transmission error rate to be transmitted; based on the obtained data set of data transmission results to be transmitted, a comprehensive analysis is performed to obtain a transmission result evaluation value, and the transmission result evaluation value is used as an analysis basis for judging whether the data transmission result to be transmitted is qualified.

[0085] The above-mentioned transmission delay refers to the time required for data to be transmitted from the source to the destination, including network transmission time, processing time, etc., which is usually measured in milliseconds (ms) and can be obtained through network testing tools (such as ping), network monitoring equipment (such as network analyzer), or through the software's log system (such as performance monitoring built into the application); packet loss rate refers to the proportion of data packets lost during data transmission to the total number of data packets. A high packet loss rate usually indicates that the network is unstable or a transmission error has occurred. It is usually expressed in percentage and can be obtained through network monitoring tools (such as ping's statistics, network analyzer) or analysis in network protocol analysis software to obtain the data packet loss situation; error rate refers to the proportion of data packets that have errors during data transmission to the total number of transmitted data packets, including erroneous content, damaged or incomplete data of the data packets. It is usually expressed in percentage and obtained through network protocol analysis tools, statistical functions of network equipment (such as routers, switches), or error detection mechanisms in data transmission protocols (such as CRC).

[0086] Higher latency usually leads to increased packet loss rate. This is because in a network with higher latency, data packets take longer to transmit in the network and may encounter more congestion or timeouts, resulting in packet loss. Higher latency sometimes leads to increased error rate because more interference or signal attenuation may occur during long transmission, resulting in data packet damage or errors. Packet loss rate and error rate are usually related, but not exactly the same. Packet loss rate directly refers to the loss of data packets, while error rate refers to data errors in transmission. High packet loss rate may be associated with high error rate, but this is not always the case, because error rate may also be affected by other factors, such as signal quality or interference.

[0087] The above-mentioned data transmission delay, packet loss rate and error rate of the data to be transmitted are key indicators for evaluating the quality of data transmission. Analyzing these data can provide a comprehensive view of transmission performance and accurately identify possible problems in data transmission, such as excessive delay, severe packet loss or excessive error rate. After understanding the transmission performance, the transmission plan can be optimized. Using the transmission result evaluation value as the basis for judgment can standardize the judgment of transmission quality and make it more objective and consistent.

[0088] Furthermore, the transmission result evaluation value is obtained by:

[0089]

[0090] Wherein, δ is the transmission result evaluation value, sy is the transmission delay of the data to be transmitted, db is the packet loss rate of the data to be transmitted, cw is the error rate of the data to be transmitted, σ1 is the compensation factor of the set sy, σ2 is the compensation factor of the set db, and σ3 is the compensation factor of the set cw.

[0091] like Figure 5 As shown in the figure, the transmission result evaluation value decreases with the change of the data delay of the data to be transmitted. The smaller the transmission result evaluation value is, the worse the transmission result is. The above transmission result evaluation value is calculated by the data delay of the data to be transmitted, the packet loss rate of the data to be transmitted, and the error rate of the data to be transmitted. Sy, db, and cw are normalized, and the transmission delay, packet loss rate, and error rate are comprehensively considered to comprehensively evaluate the overall quality of data transmission. This comprehensive evaluation can provide a more comprehensive perspective than a single indicator. By calculating the transmission result evaluation value, problems in data transmission, such as excessive delay, packet loss, or excessive error rate, can be detected in time, so as to take measures to improve transmission reliability. Based on the transmission result evaluation value, targeted improvement measures can be formulated. The status of data transmission can be monitored through the transmission result evaluation value.

[0092] Analyze the state of the data transmission environment to be transmitted, and compare the transmission results with the evaluation value.

[0093] The specific analysis process is as follows: obtaining a transmission environment status data set, which specifically includes the transmission environment temperature, the transmission environment air pressure, and the transmission environment electromagnetic strength; based on the obtained transmission environment status data set, a comprehensive analysis is performed to obtain a transmission environment status characteristic value, and the transmission environment status characteristic value is used as an analysis basis for comparing and obtaining a transmission result reference evaluation value; comparing the transmission environment status characteristic value with the transmission result reference evaluation value corresponding to each transmission environment status characteristic value stored in the database, to obtain a transmission result reference evaluation value corresponding to the transmission environment status characteristic value.

[0094] The above-mentioned transmission environment temperature refers to the air temperature in the data transmission environment, usually expressed in Celsius or Fahrenheit. Temperature changes will directly affect the performance and stability of electronic equipment, especially in a limited space. Too high or too low temperature may cause equipment failure or reduced transmission quality, which is obtained based on temperature and humidity sensors. The transmission environment air pressure refers to the air pressure value in the data transmission environment, usually expressed in Pascal, kilopascal or millimeters of mercury; air pressure changes may affect the propagation characteristics of wireless signals, especially in closed or semi-closed environments, which is obtained based on air pressure sensors. The transmission environment electromagnetic intensity refers to the intensity of the electromagnetic field in the data transmission environment, usually expressed in volts / meter (V / m); changes in electromagnetic intensity will affect the quality and stability of wireless signals, especially in environments with strong electromagnetic interference, obtained through electromagnetic field intensity meters or electromagnetic radiation monitors.

[0095] There is a certain correlation between temperature and air pressure. Usually in a closed space, changes in temperature will lead to changes in air pressure. When the temperature rises, the air volume expands and the air pressure may decrease; when the temperature drops, the air volume shrinks and the air pressure may increase. This change may affect the propagation characteristics of wireless signals. Changes in ambient temperature may affect the performance of electronic equipment and thus affect the electromagnetic strength. High temperature may cause the device to overheat, thereby affecting its electromagnetic radiation characteristics. The performance and electromagnetic strength of electromagnetic equipment may be affected by temperature changes.

[0096] The above-mentioned comparison of the generated transmission environment status characteristic value with the reference characteristic value stored in the database can provide a reference evaluation value of the transmission result based on the environmental state. The obtained transmission environment status characteristic value can be used as a data-driven decision-making basis to support the management to make more scientific decisions in resource allocation, system upgrades and maintenance plans. By establishing a corresponding relationship between characteristic values ​​and evaluation values, standards can be established for future transmission environment monitoring and evaluation. As environmental conditions change, the system can flexibly adjust the transmission strategy to maintain optimal performance, thereby enhancing the system's adaptability.

[0097] Furthermore, the characteristic value of the transmission environment state is obtained as follows:

[0098]

[0099] Wherein, ω is the characteristic value of the transmission environment state, wd is the transmission environment temperature, qy is the transmission environment air pressure, dc is the transmission environment electromagnetic intensity, τ1 is the compensation factor of the set wd, τ2 is the compensation factor of the set qy, and τ3 is the compensation factor of the set dc.

[0100] The above transmission environment state characteristic value is calculated through the transmission environment temperature, transmission environment air pressure, and transmission environment electromagnetic intensity, and wd, qy, and dc are normalized. The transmission environment state characteristic value provides a comprehensive indicator that can reflect the overall state of the transmission environment and reveal the comprehensive impact of environmental factors on transmission quality. Understanding the overall impact of the transmission environment can help identify the potential impact of environmental changes on transmission performance, so as to perform targeted optimization. The transmission environment state characteristic value helps to understand the impact of the environment on the stability of data transmission, so that measures can be taken to reduce the impact of environmental changes on transmission quality. According to the transmission environment state characteristic value, the transmission scheme and technology can be adjusted to meet the needs of specific environments.

[0101] Combined with the transmission result evaluation value and the transmission result reference evaluation value, determine whether the data transmission result to be transmitted is qualified.

[0102] The specific analysis process is: compare the transmission result evaluation value with the transmission result reference evaluation value stored in the database; if the transmission result evaluation value is not lower than the transmission result reference evaluation value, the data transmission result to be transmitted corresponding to the transmission result evaluation value is qualified; if the transmission result evaluation value is lower than the transmission result reference evaluation value, the data transmission result to be transmitted corresponding to the transmission result evaluation value is unqualified and the data to be transmitted needs to be retransmitted.

[0103] By comparing the transmission result evaluation value with the transmission result reference evaluation value, it can be ensured that the quality of data transmission meets the expected standards. If the transmission result evaluation value is lower than the reference evaluation value, it means that there may be problems with data transmission (such as high packet loss rate, high latency, etc.), and retransmission is required to ensure data integrity. The retransmission mechanism can reduce data loss and errors caused by transmission problems. Through retransmission, the system can correct problems in transmission and avoid data loss or errors from adversely affecting business processes. By detecting and repairing problems in transmission, the use of network resources can be optimized, ensuring the effectiveness of data transmission and helping to reasonably allocate bandwidth and other network resources. The retransmission mechanism enhances the robustness of the system, enabling it to remain stable in the face of various transmission problems. The system can automatically detect and correct errors in transmission to improve the reliability of the overall system.

[0104] Example 2

[0105] like Figure 2As shown, a data transmission system applied to a limited space is used to implement the method of Example 1, including a relay node deployment plan comparison module, an edge computing node deployment plan comparison module, a data to be transmitted analysis module, a transmission result evaluation value acquisition module, a transmission result reference evaluation value comparison module and a transmission result qualification judgment module.

[0106] The relay node deployment plan comparison module is used to analyze the basic information of the limited space and compare the transmission relay node deployment plan.

[0107] The edge computing node deployment plan comparison module is used to analyze the basic information of the transmission link and obtain the edge computing node deployment plan by comparison.

[0108] The data analysis module to be transmitted is used to analyze the basic information of the data to be transmitted, and compare to obtain the compression scheme of the data to be transmitted and the dynamic allocation result of the bandwidth.

[0109] The transmission result evaluation value acquisition module is used to analyze the data transmission results to be transmitted based on the edge computing node deployment plan, the transmission relay node deployment plan, the data compression plan to be transmitted and the bandwidth dynamic allocation results to obtain the transmission result evaluation value.

[0110] The transmission result reference evaluation value comparison module is used to analyze the state of the data transmission environment to be transmitted and obtain the transmission result reference evaluation value by comparison.

[0111] The transmission result qualification judgment module is used to judge whether the data transmission result to be transmitted is qualified by combining the transmission result evaluation value and the transmission result reference evaluation value.

Claims

1. A data transmission method applied to a limited space, characterized in that: The following steps are involved: Analyze the basic information of the limited space and compare it to get the layout plan of the transmission relay nodes; Analyze the basic information of the transmission link and compare it to get the edge computing node deployment plan; Analyze the basic information of the data to be transmitted, and compare to obtain the compression scheme of the data to be transmitted and the result of dynamic bandwidth allocation; Based on the edge computing node deployment plan, the transmission relay node deployment plan, the data compression plan to be transmitted and the dynamic bandwidth allocation results, the data transmission results to be transmitted are analyzed to obtain the transmission result evaluation value; Analyze the state of the data transmission environment to be transmitted, and compare the transmission result with the reference evaluation value; Combined with the transmission result evaluation value and the transmission result reference evaluation value, determine whether the data transmission result to be transmitted is qualified.

2. The data transmission method for limited space according to claim 1, characterized in that: The comparison obtains the transmission relay node deployment plan, and the analysis process is as follows: Obtain a dataset of basic information about the confined space, including the area of ​​the confined space, the decibel value of the background noise in the confined space, the air velocity in the confined space, and the thickness of the wall in the confined space; The area of ​​the confined space, the decibel value of the background noise in the confined space, the air flow rate in the confined space, and the wall thickness of the confined space are stored as designated tags, and the designated tags are compared with the transmission relay node layout plans corresponding to the designated tags stored in the database to obtain the transmission relay node layout plan corresponding to the designated tags.

3. The data transmission method applied to a limited space according to claim 1, characterized in that: The comparison results in an edge computing node deployment plan, and the analysis process is as follows: Obtaining a data set of basic information of the transmission link, including the total length of the transmission link, the transmission rate of the transmission link, and the failure rate of the transmission link; Based on the acquired transmission link basic information data set, a comprehensive analysis is performed to obtain the transmission link characteristic value, which is used as the analysis basis for comparing the edge computing node deployment plan; The transmission link characteristic value is compared with the edge computing node deployment plan corresponding to each transmission link characteristic value stored in the database to obtain the edge computing node deployment plan corresponding to the transmission link characteristic value.

4. The data transmission method for limited space according to claim 1, characterized in that: The comparison obtains the data compression scheme to be transmitted and the result of the dynamic bandwidth allocation. The analysis process is as follows: Obtain a data set of basic information of the data to be transmitted, including the total number of bytes of the data to be transmitted, the number of statements of the data to be transmitted, and the data flow rate of the data to be transmitted; Based on the acquired data set of basic information of the data to be transmitted, a comprehensive analysis is performed to obtain a characteristic value of the basic information of the data to be transmitted, and the characteristic value of the basic information of the data to be transmitted is used as an analysis basis for comparing and obtaining a compression scheme for the data to be transmitted and a result of dynamic bandwidth allocation; The basic information characteristic value of the data to be transmitted is compared with the compression scheme for the data to be transmitted and the dynamic bandwidth allocation result corresponding to each basic information characteristic value of the data to be transmitted stored in the database to obtain the compression scheme for the data to be transmitted and the dynamic bandwidth allocation result corresponding to the basic information characteristic value of the data to be transmitted.

5. The data transmission method applied to a limited space according to claim 1, characterized in that: The data transmission result to be transmitted is analyzed, and the analysis process is as follows: Obtaining a data transmission result data set to be transmitted, including a data transmission delay to be transmitted, a data transmission packet loss rate to be transmitted, and a data transmission error rate to be transmitted; Based on the acquired data transmission result data set to be transmitted, a transmission result evaluation value is obtained through comprehensive analysis, and the transmission result evaluation value is used as an analysis basis for judging whether the data transmission result to be transmitted is qualified.

6. The data transmission method applied to a limited space according to claim 5, characterized in that: The transmission result evaluation value is obtained by: Wherein, δ is the evaluation value of the transmission result, sy is the transmission delay of the data to be transmitted, db is the packet loss rate of the data to be transmitted, cw is the error rate of the data to be transmitted, σ1 is the compensation factor of the set sy, σ2 is the compensation factor of the set db, σ3 is the compensation factor of the set cw, and e is a natural constant.

7. The data transmission method applied to a limited space according to claim 1, characterized in that: The transmission result obtained by comparison refers to the evaluation value, and the analysis process is: Obtain the transmission environment status data set, including the transmission environment temperature, transmission environment air pressure, and transmission environment electromagnetic intensity; Based on the acquired transmission environment status data set, a comprehensive analysis is performed to obtain a transmission environment status characteristic value, and the transmission environment status characteristic value is used as an analysis basis for comparing the transmission result reference evaluation value; The transmission environment state characteristic value is compared with the transmission result reference evaluation value corresponding to each transmission environment state characteristic value stored in the database to obtain the transmission result reference evaluation value corresponding to the transmission environment state characteristic value.

8. The data transmission method applied to a limited space according to claim 7, characterized in that: The transmission environment state characteristic value is obtained in the following manner: Wherein, ω is the characteristic value of the transmission environment state, wd is the transmission environment temperature, qy is the transmission environment air pressure, dc is the transmission environment electromagnetic intensity, τ1 is the compensation factor of the set wd, τ2 is the compensation factor of the set qy, and τ3 is the compensation factor of the set dc.

9. The data transmission method applied to a limited space according to claim 1, characterized in that: The analysis process of judging whether the data transmission result to be transmitted is qualified is as follows: comparing the transmission result evaluation value with the transmission result reference evaluation value stored in the database; If the transmission result evaluation value is not lower than the transmission result reference evaluation value, the data transmission result to be transmitted corresponding to the transmission result evaluation value is qualified; If the transmission result evaluation value is lower than the transmission result reference evaluation value, the data transmission result to be transmitted corresponding to the transmission result evaluation value is unqualified and the data to be transmitted needs to be retransmitted.

10. A data transmission system for limited space, applied to the method according to any one of claims 1 to 9, characterized in that: It includes a relay node deployment scheme comparison module, an edge computing node deployment scheme comparison module, a data to be transmitted analysis module, a transmission result evaluation value acquisition module, a transmission result reference evaluation value comparison module and a transmission result qualification judgment module, wherein: The relay node layout scheme comparison module is used to analyze the basic information of the limited space and compare to obtain the transmission relay node layout scheme; The edge computing node deployment plan comparison module is used to analyze the basic information of the transmission link and compare the edge computing node deployment plan; The data analysis module to be transmitted is used to analyze the basic information of the data to be transmitted, and compare to obtain the compression scheme of the data to be transmitted and the result of dynamic bandwidth allocation; The transmission result evaluation value acquisition module is used to analyze the data transmission results to be transmitted based on the edge computing node deployment plan, the transmission relay node deployment plan, the data compression plan to be transmitted and the bandwidth dynamic allocation result to obtain the transmission result evaluation value; The transmission result reference evaluation value comparison module is used to analyze the state of the data transmission environment to be transmitted and obtain the transmission result reference evaluation value by comparison; The transmission result qualification judgment module is used to judge whether the data transmission result to be transmitted is qualified by combining the transmission result evaluation value and the transmission result reference evaluation value.

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