A data transmission method and system applied to a limited space

Abstract

The present 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. The method includes: comparing to obtain a layout scheme for transmission relay nodes, a layout scheme for edge computing nodes, a compression scheme for data to be transmitted, and a bandwidth dynamic allocation result; analyzing the data transmission result of the data to be transmitted based on the layout scheme for edge computing nodes, the layout scheme for transmission relay nodes, the compression scheme for data to be transmitted, and the bandwidth dynamic allocation result to obtain a transmission result evaluation value; analyzing the transmission environment state of the data to be transmitted, comparing to obtain a reference evaluation value for the transmission result, and determining whether the data transmission result of the data to be transmitted is qualified. The present invention solves the problems that the existing wireless communication technology cannot meet the requirements in a limited space and the adaptability of traditional data transmission methods in a limited space is insufficient, and can improve the efficiency of data transmission and ensure the reliability and accuracy of data transmission.

Description

Technical Field

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

[0002] Limited spaces are usually enclosed or semi-enclosed environments, such as cable tunnels, underground pipelines, corridors, etc. The space is narrow and the passages are curved, which will interfere with or attenuate the propagation of wireless signals. Operations in limited spaces require the collection of various types of data, such as audio-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 near real-time. To ensure safe and efficient operations, the transmission of these data needs to be highly reliable. Especially for audio-video data and key environmental monitoring data, in underground or limited spaces, conventional wireless network (such as Wi-Fi, 4G / 5G) signals may be severely attenuated or even completely unable to cover. How to ensure the continuous and stable transmission of data has become a key issue.

[0003] Currently, there are still some deficiencies in the research on a data transmission method applied to limited spaces. Specifically, existing wireless communication technologies (such as Wi-Fi, Bluetooth, etc.) in limited spaces will have their transmission distance and quality limited due to problems such as signal attenuation. Unable to meet the requirements, and due to the diversity and complexity of application scenarios, traditional data transmission methods for limited spaces have insufficient adaptability. Signals are prone to attenuation or multipath effects, resulting in poor data transmission quality; data cannot be effectively transmitted from deep or remote operation locations to the receiving terminal. Especially in long-distance underground tunnels or deep underground facilities, the adaptability of traditional methods is insufficient and may perform poorly in different types of limited space scenarios. During the construction of underground pipelines and tunnels, different structural layouts, materials, and wireless interference situations need to be addressed. Traditional methods cannot provide a general solution, resulting in limitations in practical applications. Summary of the Invention

[0004] Aiming at the deficiencies of the prior art, the present invention provides a data transmission method and system applied to limited spaces, 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 realized through the following technical solutions: A data transmission method applied to limited spaces, comprising the following steps:

[0006] Analyze the basic information of the limited space and compare to obtain a layout plan for transmission relay nodes;

[0007] Analyze the basic information of the transmission link and compare to obtain a layout plan for edge computing nodes;

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

[0009] Based on the edge computing node layout scheme, the transmission relay node layout scheme, the data compression scheme to be transmitted, and the bandwidth dynamic allocation result, analyze the transmission result of the data to be transmitted to obtain the transmission result evaluation value;

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

[0011] Combine the transmission result evaluation value and the reference evaluation value of the transmission result to determine whether the transmission result of the data to be transmitted is qualified.

[0012] Preferably, the process of analyzing and obtaining the transmission relay node layout scheme is as follows:

[0013] Obtain the basic information data set of the limited space, including the area of the limited space, the background noise decibel value of the limited space, the air flow rate of the limited space, and the wall thickness of the limited space;

[0014] Store the area of the limited space, the background noise decibel value of the limited space, the air flow rate of the limited space, and the wall thickness of the limited space as a specified label, and compare the specified label with the transmission relay node layout schemes corresponding to each specified label stored in the database to obtain the transmission relay node layout scheme corresponding to the specified label.

[0015] Preferably, the process of analyzing and obtaining the edge computing node layout scheme is as follows:

[0016] Obtain the basic information data set 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 obtained basic information data set of the transmission link, comprehensively analyze to obtain the transmission link characteristic value, and the transmission link characteristic value is used as the analysis basis for obtaining the edge computing node layout scheme by comparison;

[0018] Compare the transmission link characteristic value with the edge computing node layout schemes corresponding to each transmission link characteristic value stored in the database to obtain the edge computing node layout scheme corresponding to the transmission link characteristic value.

[0019] Preferably, the process of analyzing and obtaining the data compression scheme to be transmitted and the bandwidth dynamic allocation result is as follows:

[0020] Obtain the basic information data set 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 obtained dataset of basic information of the data to be transmitted, comprehensively analyze to obtain the eigenvalue of the basic information of the data to be transmitted, and use the eigenvalue of the basic information of the data to be transmitted as the analysis basis for obtaining the compression scheme of the data to be transmitted and the result of bandwidth dynamic allocation through comparison;

[0022] Compare the eigenvalue of the basic information of the data to be transmitted with the compression scheme of the data to be transmitted and the result of bandwidth dynamic allocation corresponding to each eigenvalue of the basic information of the data to be transmitted stored in the database, and obtain the compression scheme of the data to be transmitted and the result of bandwidth dynamic allocation corresponding to this eigenvalue of the basic information of the data to be transmitted.

[0023] Preferably, the analysis of the transmission result of the data to be transmitted is as follows:

[0024] Obtain the dataset of the transmission result of the data to be transmitted, including the transmission 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;

[0025] Based on the obtained dataset of the transmission result of the data to be transmitted, comprehensively analyze to obtain the evaluation value of the transmission result, and use the evaluation value of the transmission result as the analysis basis for judging whether the transmission result of the data to be transmitted is qualified.

[0026] Preferably, the evaluation value of the transmission result is obtained in the following way:

[0027]

[0028] In the formula, 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 the natural constant.

[0029] Preferably, the analysis of obtaining the reference evaluation value of the transmission result through comparison is as follows:

[0030] Obtain the dataset of the transmission environment state, including the transmission environment temperature, the transmission environment air pressure, and the transmission environment electromagnetic intensity;

[0031] Based on the obtained dataset of the transmission environment state, comprehensively analyze to obtain the eigenvalue of the transmission environment state, and use the eigenvalue of the transmission environment state as the analysis basis for obtaining the reference evaluation value of the transmission result through comparison;

[0032] Compare the eigenvalue of the transmission environment state with the reference evaluation value of the transmission result corresponding to each eigenvalue of the transmission environment state stored in the database, and obtain the reference evaluation value of the transmission result corresponding to this eigenvalue of the transmission environment state.

[0033] Preferably, the eigenvalue of the transmission environment state is obtained in the following way:

[0034]

[0035] In the formula, 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 process of judging whether the transmission result of the data to be transmitted is qualified is as follows:

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

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

[0039] If the transmission result evaluation value is lower than the reference evaluation value of the transmission result, the transmission result of the data 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 confined space, which applies the above method, includes a relay node layout plan comparison module, an edge computing node layout 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, where:

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

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

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

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

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

[0046] A transmission result qualification judgment module, which is used to combine the transmission result evaluation value and the transmission result reference evaluation value to judge whether the transmission result of the data to be transmitted is qualified.

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

[0048] By analyzing the basic information of the limited space to compare the layout scheme of transmission relay nodes, the present invention can optimize the position and quantity of relay nodes, effectively improve the signal coverage, reduce signal attenuation and data loss. By analyzing the basic information of the transmission link, the best layout position of edge computing nodes can be found, reducing the distance and delay of data transmission and improving the processing efficiency. By analyzing the basic information of the data to be transmitted, a suitable compression scheme and bandwidth dynamic allocation are determined, which can be adjusted according to the actual data traffic and network status, improving the data transmission efficiency. By analyzing the transmission result data and environmental status, the transmission result evaluation value and reference evaluation value are calculated, which can accurately judge whether the transmission result meets the expected standard, ensuring the reliability and accuracy of data transmission.

[0049] By analyzing the basic information of the transmission link, the present invention obtains the layout scheme of edge computing nodes through comparison. Analyzing the basic information of the transmission link can help determine the best layout position of edge computing nodes, making data processing closer to the data source, thus reducing the physical distance from the collection point to the processing point. Optimizing the position of edge computing nodes can maximize the utilization of existing transmission link resources, reduce unnecessary long-distance transmission, improve the transmission efficiency of the network, prevent single-point failures, and improve the overall reliability and fault tolerance of the system.

[0050] By analyzing the basic information of the data to be transmitted, the present invention obtains the compression scheme of the data to be transmitted and the result of bandwidth dynamic allocation through comparison. By analyzing the characteristics of the data to be transmitted, a suitable data compression algorithm can be selected, effectively reducing the volume of data, reducing the occupied bandwidth and transmission time, and improving the data transmission efficiency in a limited space, especially more significantly in an environment with limited bandwidth resources (such as underground tunnels or pipelines). According to the data situation, the bandwidth is dynamically allocated so that different types of data transmissions can obtain reasonable bandwidth resources. Brief Description of the Drawings

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

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

[0053] Figure 3 It is a three-dimensional image of the characteristic value of the basic information of the data to be transmitted changing with the data stream rate of the data to be transmitted and the compensation factor of the set data stream rate of the data to be transmitted;

[0054] Figure 4 It is an image of the characteristic value of the basic information of the data to be transmitted changing with the data flow rate of the data to be transmitted;

[0055] Figure 5 It is an image of the evaluation value of the transmission result changing with the transmission delay of the data to be transmitted. Specific implementation manners

[0056] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings.

[0057] Embodiment 1

[0058] As Figure 1 shown, a data transmission method applied to a limited space includes the steps of: analyzing the basic information of the limited space and comparing to obtain a layout scheme of transmission relay nodes.

[0059] The specific analysis process is as follows: Obtain a dataset of the basic information of the limited space. The dataset of the basic information of the limited space specifically includes the area of the limited space, the background noise decibel value of the limited space, the air flow rate of the limited space, and the wall thickness of the limited space. Store the area of the limited space, the background noise decibel value of the limited space, the air flow rate of the limited space, and the wall thickness of the limited space as specified tags, and compare the specified tags with the layout schemes of transmission relay nodes corresponding to each specified tag stored in the database to obtain the layout scheme of transmission relay nodes corresponding to the specified tag.

[0060] The area of the limited space refers to the planar size within a restricted area (such as a cable tunnel, underground pipeline, or corridor, etc.), usually expressed in square meters. The length and width of the space are measured using a laser rangefinder or ultrasonic rangefinder, and then the area is calculated. The background noise decibel value represents the intensity of the environmental noise existing in the limited space, usually expressed in decibels (dB). The background noise includes the operating sound of mechanical equipment, electromagnetic noise, wind noise, etc. The environmental noise is measured in real time using a sound level meter or decibel meter. The air flow rate is the flow velocity of air in the limited space, usually expressed in meters per second (m / s). The magnitude of the air flow rate affects the propagation of signals (especially wireless signals) and the diffusion of gas pollutants in the air. An anemometer or air flow meter can measure the air flow rate at a specific point. The wall thickness is the thickness of the wall or other barriers in the limited space, usually expressed in meters (m) or centimeters (cm). The wall thickness affects the penetration and reflection performance of wireless signals. The thickness of the wall or barrier is measured using an ultrasonic thickness gauge or an electromagnetic wave reflectometer.

[0061] The area of the confined space determines the range and path of signal propagation. The wall thickness and background noise will affect the reflection, absorption, and interference of signals. The air velocity 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 wireless signals and affect the communication quality. The air velocity may exacerbate 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 result in stronger signal reflection and poorer penetration, thus requiring more relay nodes to ensure the coverage area.

[0062] Analyzing parameters such as the area, noise level, air velocity, and wall thickness of the above-mentioned confined space can determine the propagation characteristics and signal attenuation of signals in the space. According to factors such as the background noise decibel value and wall thickness, the attenuation degree of signals and potential interference sources can be predicted, thereby optimizing the layout scheme of relay nodes, reducing unnecessary energy consumption, prolonging the service life of relay equipment, and reducing maintenance costs. This is particularly important in confined spaces such as cable tunnels and underground pipelines. By accurately comparing the confined space information with the existing schemes in the database, the optimal relay node layout scheme 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 being suitable for scenarios that require high-efficiency transmission such as audio and video data collection and environmental monitoring.

[0063] Analyze the basic information of the transmission link and compare to obtain the layout scheme of edge computing nodes.

[0064] The specific analysis process is as follows: Obtain the basic information dataset of the transmission link. The basic information dataset of the transmission link 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 basic information dataset of the transmission link, comprehensively analyze to obtain the transmission link characteristic value. The transmission link characteristic value is used as the analysis basis for comparing and obtaining the layout scheme of edge computing nodes. Compare the transmission link characteristic value with the layout schemes of edge computing nodes corresponding to each transmission link characteristic value stored in the database to obtain the layout scheme of edge computing nodes corresponding to the transmission link characteristic value.

[0065] The total length of the above-mentioned transmission link refers to the physical distance of the data transmission path. In a limited space (such as an underground tunnel or pipeline), it is the length of the communication path between a data acquisition point and the data receiving end, which is obtained using Geographic Information System (GIS) equipment. The transmission rate of the transmission link refers to the speed at which data is transmitted on the 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, and is obtained using a network speed tester. The failure rate of the transmission link refers to the frequency of failures (such as signal loss, error codes, etc.) during the communication process, 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 of signal attenuation and delay during transmission, resulting in a decrease in the transmission rate. There is usually an inverse relationship between the total length of the link and the transmission rate. 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 of the transmitted signal, which may lead to an increase in the failure rate. In a cable tunnel or pipeline, the signal is affected by factors such as wall reflection, obstacle blockage, and environmental noise. A longer transmission path will increase the possibility of failures. A higher transmission rate usually requires 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 and the failure rate is relatively low. It is necessary to find a balance between the rate and the 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, failure rate) as mentioned above, the characteristic values of the transmission link can be comprehensively analyzed, which can help to judge the bottlenecks and weak points of data transmission, clarify the location and quantity of edge computing nodes to be deployed, so as 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 local 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 addition or reduction of nodes.

[0068] The above-mentioned characteristic values of the transmission link are obtained in the following way:

[0069]

[0070] In the formula, α is the transmission link eigenvalue, 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 for the set zd, ε2 is the compensation factor for the set cs, ε3 is the compensation factor for the set gz, and e is the natural constant.

[0071] The above-mentioned transmission link eigenvalue is calculated through the total length of the transmission link, the transmission rate of the transmission link, and the failure rate of the transmission link. By normalizing zd, cs, and gz, the calculated transmission link eigenvalue can provide a comprehensive evaluation of the link performance, covering multiple aspects such as the length, transmission speed, and failure rate of the link. A comprehensive evaluation can help determine the overall quality and reliability of the link. Using the transmission link eigenvalue, more targeted decisions can be made in the network design and planning stage, understanding 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. Problems existing in the link, such as signal attenuation, insufficient bandwidth, or frequent failures, can be identified, which helps formulate more effective link maintenance and management strategies.

[0072] The above-mentioned compensation factors for the set zd, cs, and gz are obtained from the database. By establishing a mapping set of the total length of the historical measured transmission link, the transmission rate of the transmission link, the failure rate of the transmission link, and the compensation factors for zd, cs, and gz based on historical data, the compensation factors for zd, cs, and gz corresponding to the current zd, cs, and gz are obtained.

[0073] In the following text, μ1, μ2, μ3, σ1, σ2, σ3, τ1, and τ2 are also obtained through the mapping set of historical data and compensation factors established in the database, that is, the corresponding compensation factors are obtained according to the current data.

[0074] Analyze the basic information of the data to be transmitted, and compare to obtain the data compression scheme and bandwidth dynamic allocation result for the data to be transmitted.

[0075] The specific analysis process is as follows: Obtain the basic information dataset of the data to be transmitted. The basic information dataset of the data to be transmitted specifically includes the total number of bytes of the data to be transmitted, the number of statements of the data to be transmitted, and the data stream rate of the data to be transmitted. Based on the obtained basic information dataset of the data to be transmitted, comprehensively analyze to obtain the basic information eigenvalue of the data to be transmitted. The basic information eigenvalue of the data to be transmitted is used as the analysis basis for comparing to obtain the data compression scheme and bandwidth dynamic allocation result for the data to be transmitted. Compare the basic information eigenvalue of the data to be transmitted with the data compression scheme and bandwidth dynamic allocation result corresponding to each basic information eigenvalue of the data to be transmitted stored in the database to obtain the data compression scheme and bandwidth dynamic allocation result corresponding to the basic information eigenvalue of the data to be transmitted.

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

[0077] The relationship between the total number of bytes and the data stream rate is reflected in the calculation of the transmission time. Given the total number of bytes and the data stream rate, the time required for data transmission can be calculated. Transmission time = total number of bytes / data stream rate. The total number of bytes and the number of statements are usually related, but not directly linearly related. The sizes 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 stream rate affects the data transmission speed, and thus affects the number of statements that can be transmitted within a certain time. The transmission rate of the number of statements = data stream rate / average size of each statement.

[0078] Based on the above-mentioned characteristic values of the data to be transmitted, an appropriate compression algorithm can be selected to reduce the volume of the data, thereby improving the transmission efficiency. The compressed data occupies less bandwidth, reducing the transmission time and bandwidth consumption. Dynamically adjust the bandwidth allocation according to the data stream rate and the total number of bytes to ensure the reasonable utilization of bandwidth resources during the data transmission process. Compare the basic information characteristic values of the data to be transmitted with the schemes in the database to find the most suitable compression and bandwidth allocation schemes for the current data type and network conditions. Data compression reduces the amount of data to be transmitted, directly reducing the transmission time, thereby reducing latency, enhancing the stability of data transmission, reducing the risk of data loss and transmission errors, and ensuring the high availability of the system.

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

[0080]

[0081] In the formula, β is the basic information characteristic value 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 stream rate of the data to be transmitted, μ1 is the compensation factor set for zj, μ2 is the compensation factor set for yj, and μ3 is the compensation factor set for ls.

[0082] Such as Figure 3 、 Figure 4As shown, the eigenvalue of the basic information of the data to be transmitted decreases as the data stream rate of the data to be transmitted increases. The above eigenvalue of the basic information of the data to be transmitted is calculated through the total number of bytes of the data to be transmitted, the number of statements of the data to be transmitted, and the data stream rate of the data to be transmitted. Normalize zj, yj, and ls. By calculating the eigenvalue of the basic information of the data to be transmitted, the compression requirement of the data can be evaluated. The eigenvalue can help select appropriate data compression algorithms and parameters, thereby optimizing the data compression effect and reducing the amount of transmitted data. The eigenvalue of the basic information of the data to be transmitted can help dynamically adjust the bandwidth allocation. The total number of bytes and the stream rate of the data can help predict the data transmission requirement and reasonably allocate network bandwidth resources. Using the eigenvalue 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 helps to improve the transmission efficiency and reduce data loss and transmission delay.

[0083] Based on the edge computing node layout scheme, the transmission relay node layout scheme, the data compression scheme to be transmitted, and the bandwidth dynamic allocation result, analyze the transmission result of the data to be transmitted to obtain the transmission result evaluation value.

[0084] The specific analysis process is as follows: Obtain the data set of the transmission results of the data to be transmitted. The data set of the transmission results of the data to be transmitted specifically includes the transmission 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. Based on the obtained data set of the transmission results of the data to be transmitted, comprehensively analyze to obtain the transmission result evaluation value, and the transmission result evaluation value is used as the analysis basis for judging whether the transmission result of the data to be transmitted is qualified.

[0085] The above transmission delay refers to the time required for data to be transmitted from the source end to the destination end, including network transmission time, processing time, etc., and is usually measured in milliseconds (ms). It can be obtained through network testing tools (such as ping), network monitoring devices (such as network analyzers), or through the log system of software (such as the performance monitoring built into the application). The packet loss rate refers to the proportion of lost data packets in the total number of data packets during data transmission. A high packet loss rate usually indicates network instability or transmission errors, and is usually expressed as a percentage. It can be obtained by analyzing the statistical information of network monitoring tools (such as ping), network analyzers, or in network protocol analysis software to obtain the packet loss situation. The error rate refers to the proportion of data packets with errors in the total number of transmitted data packets during data transmission, including the error content of the data packets, damaged or incomplete data, and is usually expressed as a percentage. It is obtained through network protocol analysis tools, the statistical functions of network devices (such as routers, switches), or the error detection mechanism (such as CRC) in the data transmission protocol.

[0086] Higher latency usually leads to an increase in the 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 timeout situations, resulting in packet loss. Higher latency sometimes leads to an increase in the error rate because more interference or signal attenuation may occur during the long transmission process, resulting in packet corruption or errors. The packet loss rate and the error rate are usually related but not exactly the same. The packet loss rate directly refers to the loss of data packets, while the error rate refers to data errors during transmission. A high packet loss rate may be related to a high error rate, but not always, because the error rate may also be affected by other factors such as signal quality or interference.

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

[0088] Furthermore, the way to obtain the evaluation value of the transmission result is as follows:

[0089]

[0090] In the formula, δ is the evaluation value of the transmission result, sy is the transmission latency 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 for the set sy, σ2 is the compensation factor for the set db, and σ3 is the compensation factor for the set cw.

[0091] As Figure 5 shown, the evaluation value of the transmission result decreases as the transmission latency of the data to be transmitted changes. The smaller the evaluation value of the transmission result, the worse the transmission result. The above evaluation value of the transmission result is calculated through the transmission latency 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. By normalizing sy, db, and cw and comprehensively considering the transmission latency, packet loss rate, and error rate, the overall quality of data transmission can be comprehensively evaluated. This comprehensive evaluation can provide a more comprehensive perspective than a single indicator. By calculating the evaluation value of the transmission result, problems in data transmission, such as excessive latency, packet loss, or a high error rate, can be detected in a timely manner, and thus measures can be taken to improve the transmission reliability. Based on the evaluation value of the transmission result, targeted improvement measures can be formulated, and the status of data transmission can be monitored through the evaluation value of the transmission result.

[0092] Analyze the status of the transmission environment of the data to be transmitted and compare to obtain the reference evaluation value of the transmission result.

[0093] The specific analysis process is as follows: Obtain the transmission environment status data set, which specifically includes the transmission environment temperature, the transmission environment air pressure, and the transmission environment electromagnetic intensity; Based on the obtained transmission environment status data set, comprehensively analyze to obtain the transmission environment status characteristic value, and the transmission environment status characteristic value is used as the analysis basis for comparing and obtaining the reference evaluation value of the transmission result; Compare the transmission environment status characteristic value with the reference evaluation value of the transmission result corresponding to each transmission environment status characteristic value stored in the database to obtain the reference evaluation value of the transmission result corresponding to this 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 degrees Celsius or Fahrenheit. Temperature changes will directly affect the performance and stability of electronic devices. Especially in a limited space, too high or too low temperature may cause equipment failure or a decline in transmission quality, which is obtained based on a temperature and humidity sensor. The transmission environment air pressure refers to the air pressure value in the data transmission environment, usually expressed in pascals, kilopascals, or millimeters of mercury; air pressure changes may affect the propagation characteristics of wireless signals, especially in a closed or semi-closed environment, which is obtained based on a barometric pressure sensor. The transmission environment electromagnetic intensity refers to the intensity of the electromagnetic field in the data transmission environment, usually expressed in volts per meter (V / m); changes in electromagnetic intensity will affect the quality and stability of wireless signals, especially in an environment with strong electromagnetic interference, which is obtained through an electromagnetic field strength meter or an electromagnetic radiation monitor.

[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 air temperature rises, the air volume expands and the air pressure may decrease; when the air temperature drops, the air volume shrinks and the air pressure may increase. This change may affect the propagation characteristics of wireless signals. Changes in the environment temperature may affect the performance of electronic devices, and thus affect the electromagnetic intensity. High temperature may cause the device to overheat, thereby affecting its electromagnetic radiation characteristics. The performance of electromagnetic devices and electromagnetic intensity may be affected by temperature changes.

[0096] The above comparison of the generated transmission environment status characteristic value with the reference characteristic value stored in the database can provide a reference evaluation value for the transmission result based on the environment status. 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 aspects such as resource allocation, system upgrade, and maintenance plan. By establishing the corresponding relationship between the characteristic value and the evaluation value, a standard can be established for future transmission environment monitoring and evaluation. As the environmental conditions change, the system can flexibly adjust the transmission strategy to maintain the best performance, enhancing the adaptability of the system.

[0097] Furthermore, the obtaining method of the transmission environment status characteristic value is as follows:

[0098]

[0099] In the formula, 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 for the set wd, τ2 is the compensation factor for the set qy, and τ3 is the compensation factor for the set dc.

[0100] The above-mentioned characteristic value of the transmission environment state is calculated through the transmission environment temperature, transmission environment air pressure, and transmission environment electromagnetic intensity. After normalizing wd, qy, and dc, the characteristic value of the transmission environment state provides a comprehensive index that can reflect the overall state of the transmission environment, reveal the comprehensive impact of environmental factors on the transmission quality, and understanding the overall impact of the transmission environment can help identify the potential impact of environmental changes on the transmission performance, so as to carry out targeted optimization. The characteristic value of the transmission environment state 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 the transmission quality. According to the characteristic value of the transmission environment state, the transmission scheme and technology can be adjusted to meet the requirements of a specific environment.

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

[0102] The specific analysis process is as follows: 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 transmission result of the data to be transmitted corresponding to this transmission result evaluation value is qualified; if the transmission result evaluation value is lower than the transmission result reference evaluation value, the transmission result of the data to be transmitted corresponding to this 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 as described above, the quality of data transmission can be ensured to meet the expected standard. If the transmission result evaluation value is lower than the reference evaluation value, it means that there may be problems in 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, avoid adverse effects on the business process caused by data loss or errors, optimize the use of network resources by detecting and repairing problems in transmission, ensure the effectiveness of data transmission, which helps to reasonably allocate bandwidth and other network resources, and 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, improving the overall reliability of the system.

[0104] Embodiment 2

[0105] Such as Figure 2As shown in the figure, a data transmission system applied to a limited space, which is used to implement the method of Embodiment 1, includes a relay node layout plan comparison module, an edge computing node layout 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 layout plan comparison module is used to analyze the basic information of the limited space and compare to obtain the relay node layout plan for transmission.

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

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

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

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

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

Claims

1. A data transmission method applied to a limited space, characterized in that, It includes the following steps: Analyze the basic information of the confined space and compare to obtain the layout plan of the transmission relay nodes; Analyze the basic information of the transmission link and compare to obtain the layout plan of the edge computing nodes; Analyze the basic information of the data to be transmitted and compare to obtain the compression plan of the data to be transmitted and the result of dynamic bandwidth allocation; Based on the layout plan of the edge computing nodes, the layout plan of the transmission relay nodes, the compression plan of the data to be transmitted, and the result of dynamic bandwidth allocation, analyze the transmission result of the data to be transmitted to obtain the transmission result evaluation value; Analyze the transmission environment state of the data to be transmitted and compare to obtain the reference evaluation value of the transmission result; Combine the transmission result evaluation value and the reference evaluation value of the transmission result to determine whether the transmission result of the data to be transmitted is qualified.

2. The data transmission method applied to a confined space according to claim 1, characterized in that: The process of comparing to obtain the layout plan of the transmission relay nodes is as follows: Obtain the basic information dataset of the confined space, including the area of the confined space, the background noise decibel value of the confined space, the air flow rate of the confined space, and the wall thickness of the confined space; Store the area of the confined space, the background noise decibel value of the confined space, the air flow rate of the confined space, and the wall thickness of the confined space as a specified label, and compare the specified label with the layout plans of the transmission relay nodes corresponding to each specified label stored in the database to obtain the layout plan of the transmission relay nodes corresponding to the specified label.

3. The data transmission method applied to a confined space according to claim 1, wherein: The process of comparing to obtain the layout plan of the edge computing nodes is as follows: Obtain the basic information dataset 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 obtained basic information dataset of the transmission link, comprehensively analyze to obtain the characteristic value of the transmission link, and the characteristic value of the transmission link is used as the analysis basis for comparing to obtain the layout plan of the edge computing nodes; Compare the characteristic value of the transmission link with the layout plans of the edge computing nodes corresponding to each characteristic value of the transmission link stored in the database to obtain the layout plan of the edge computing nodes corresponding to the characteristic value of the transmission link.

4. The data transmission method applied to a confined space according to claim 1, wherein: The process of comparing to obtain the compression plan of the data to be transmitted and the result of dynamic bandwidth allocation is as follows: Obtain the basic information dataset 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 stream rate of the data to be transmitted; Based on the obtained basic information dataset of the data to be transmitted, comprehensively analyze to obtain the 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 the analysis basis for comparing to obtain the compression plan of the data to be transmitted and the result of dynamic bandwidth allocation; Compare the characteristic value of the basic information of the data to be transmitted with the compression plans of the data to be transmitted and the results of dynamic bandwidth allocation corresponding to each characteristic value of the basic information of the data to be transmitted stored in the database to obtain the compression plan of the data to be transmitted and the result of dynamic bandwidth allocation corresponding to the characteristic value of the basic information of the data to be transmitted.

5. The data transmission method applied to a confined space according to claim 1, characterized in that: The process of analyzing the transmission result of the data to be transmitted is as follows: Obtain the transmission result dataset of the data to be transmitted, including the transmission delay of the data to be transmitted, the packet loss rate of the data to be transmitted, and the transmission error rate of the data to be transmitted; Based on the obtained transmission result dataset of the data to be transmitted, comprehensively analyze to obtain the transmission result evaluation value, and the transmission result evaluation value is used as the analysis basis for determining whether the transmission result of the data to be transmitted is qualified.

6. The data transmission method applied to a confined space according to claim 5, wherein: The method for obtaining the transmission result evaluation value is as follows: In the formula, 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 for the set sy, σ2 is the compensation factor for the set db, σ3 is the compensation factor for the set cw, and e is the natural constant.

7. The data transmission method applied to a confined space according to claim 1, characterized in that: The analysis process for obtaining the reference evaluation value of the transmission result by comparison is as follows: Obtain the transmission environment status data set, including the transmission environment temperature, the transmission environment air pressure, and the transmission environment electromagnetic intensity; Based on the obtained transmission environment status data set, comprehensively analyze to obtain the transmission environment status characteristic value, and use the transmission environment status characteristic value as the analysis basis for obtaining the reference evaluation value of the transmission result by comparison; Compare the transmission environment status characteristic value with the reference evaluation value of the transmission result corresponding to each transmission environment status characteristic value stored in the database to obtain the reference evaluation value of the transmission result corresponding to this transmission environment status characteristic value.

8. A data transmission method applied to a confined space according to claim 7, characterized in that: The method for obtaining the transmission environment status characteristic value is as follows: In the formula, ω is the transmission environment status characteristic value, 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 for the set wd, τ2 is the compensation factor for the set qy, and τ3 is the compensation factor for the set dc.

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

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

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