Shelter hospital equipment adaptive networking communication method and system based on 5G edge computing

Abstract

This application provides an adaptive networking communication method and system for mobile hospital equipment based on 5G edge computing, relating to the field of wireless communication technology. This application acquires medical service flows from medical nodes within the mobile hospital, discharge pulse characteristics of power supply nodes, initial spectrum allocation, and wall characteristics; determines the electromagnetic interference zone around the power supply nodes and calculates the channel attenuation characteristics of the electromagnetic interference zone on the medical service flows; calculates the wall reflection delay based on wall characteristics; generates a spatial anti-interference zone within the electromagnetic interference zone; performs frequency overlap elimination on the initial spectrum allocation based on channel quality to obtain the target spectrum allocation; extracts the real-time load power of the power supply nodes, coordinates it with the real-time load power to determine the target error correction level, updates the networking scheduling cycle, and issues communication adjustment commands. This effectively suppresses the impact of electromagnetic interference from power supply equipment on the medical service flows, improving the reliability and real-time performance of communication in the mobile hospital.

Description

Technical Field

[0001] This application relates to the field of wireless communication technology, and in particular to an adaptive networking communication method and system for mobile hospital equipment based on 5G edge computing. Background Technology

[0002] As a type of temporary treatment facility that can be quickly deployed and easily moved, makeshift hospitals typically employ a metallized cabin structure, housing a large number of medical equipment and energy storage and power supply devices. In such special scenarios, medical operations often require communication that is highly reliable, has low latency, and is highly resistant to interference.

[0003] To ensure the stable operation of medical services within makeshift hospitals, some solutions have attempted to combine 5G communication technology with edge computing architecture, deploying edge nodes inside the makeshift hospitals to handle the collection, scheduling, and forwarding of medical service flows locally. However, research has revealed at least the following shortcomings when applying these existing solutions to makeshift hospital scenarios.

[0004] Firstly, energy storage power supply equipment generates high-amplitude discharge pulses during switching, charging, and discharging, resulting in strong electromagnetic radiation interference. This interference can couple into the operating frequency band of medical services, causing channel attenuation or even interruption of medical services, thereby affecting the real-time performance of critical life-sustaining signals such as ECG, blood oxygen, and respiration.

[0005] Secondly, the metal walls of the container have a high electromagnetic reflection coefficient. Electromagnetic interference is reflected multiple times inside the walls and then superimposed in space, resulting in a highly uneven three-dimensional interference distribution. Spectrum allocation methods that rely solely on spectrum detection are insufficient to accurately avoid this type of three-dimensional interference.

[0006] Third, the real-time load power of energy storage power supply equipment changes dynamically with the operating conditions of medical equipment, such as defibrillation or starting high-power equipment. Fixed modulation and coding strategies are prone to sudden increases in bit errors when the load changes abruptly, and fixed network scheduling cycles cannot be adaptively adjusted according to the real-time electromagnetic environment, further exacerbating the transmission risks of medical service flows.

[0007] Therefore, existing 5G edge computing communication solutions, when used in makeshift hospitals, cannot simultaneously ensure anti-interference performance, spectrum utilization, and scheduling flexibility in strong electromagnetic environments, and require further improvement. Summary of the Invention

[0008] The purpose of this application is to overcome the shortcomings discussed in the background art above and provide an adaptive networking communication method and system for mobile hospital equipment based on 5G edge computing, as well as a computer-readable storage medium, to solve the problems of strong electromagnetic interference caused by discharge pulses from energy storage power supply equipment in mobile hospitals, uneven three-dimensional interference distribution caused by wall reflections, and difficulty in adapting fixed networking scheduling cycles to dynamic changes in the electromagnetic environment, thereby improving the transmission reliability and scheduling flexibility of medical service flows in mobile hospitals.

[0009] The objective of this application is achieved through the following measures: Firstly, this application provides an adaptive networking communication method for mobile hospital equipment based on 5G edge computing, including: Acquire the medical service flow of medical nodes and the discharge pulse characteristics of power supply nodes within the modular hospital, as well as the initial spectrum allocation and bulkhead characteristics; The electromagnetic interference zone around the power supply node is determined based on the discharge pulse characteristics, and the channel attenuation characteristics of the electromagnetic interference zone on the medical service flow are calculated. The bulkhead reflection delay is calculated by combining the channel attenuation characteristics and the bulkhead characteristics, and a spatial anti-interference zone for the medical service flow is generated in the electromagnetic interference zone based on the bulkhead reflection delay. Based on the available channel quality after generating the spatial anti-interference zone, frequency overlap elimination is performed on the initial spectrum allocation to obtain the target spectrum allocation for the medical node. Extract the real-time load power of the power supply node, coordinate the target spectrum allocation with the real-time load power, and determine the target error correction level of the medical service flow; The network scheduling cycle between the medical node and the power supply node is updated based on the target error correction level, and a communication adjustment instruction is issued.

[0010] Optionally, determining the electromagnetic interference zone around the power supply node based on the discharge pulse characteristics and calculating the channel attenuation characteristics of the electromagnetic interference zone for the medical service flow includes the following process: Extract the peak voltage and discharge duration of the discharge pulse characteristics. Based on the electromagnetic radiation field strength of the pulse peak voltage, the radiation influence boundary is extrapolated outward along the power supply node, and the three-dimensional physical space within the radiation influence boundary is defined as the electromagnetic interference zone. Extract the initial carrier frequency of the medical service flow, calculate the radio frequency penetration loss of the initial carrier frequency within the pulse discharge duration, and use the radio frequency penetration loss as a channel attenuation feature.

[0011] Optionally, the step of calculating the bulkhead reflection delay by combining the channel attenuation characteristics and the bulkhead characteristics, and generating a spatial anti-interference zone for the medical service flow within the electromagnetic interference zone based on the bulkhead reflection delay, includes the following process: Extract the metal reflection coefficient and electromagnetic incident angle contained in the bulkhead features; Combining the reflection intensity caused by the metal reflection coefficient, and using the electromagnetic incident angle and the channel attenuation characteristics, the reflection path difference of the medical service flow reaching the electromagnetic interference zone after being reflected from the surface of the bulkhead is calculated. Based on the difference in reflection path and the speed of light, the bulkhead reflection delay of the medical service flow is calculated; The driving antenna array transmits a spatial compensation beam with an anti-phase cancellation phase with the reflection delay of the bulkhead within the electromagnetic interference zone. The spatial compensation beam cancels the phase of the reflected interference signal formed by the reflection of the bulkhead surface in physical space, and the interference-free space formed after the cancellation is defined as the spatial anti-interference zone.

[0012] Optionally, the step of performing frequency overlap elimination on the initial spectrum allocation based on the available channel quality within the spatial anti-interference zone to obtain the target spectrum allocation for the medical node includes the following process: Within the spatial anti-interference zone, the base noise power of each subcarrier in the initial spectrum allocation is detected, and the base noise power is used as the available channel quality; The base noise power is numerically compared with a preset interference tolerance threshold; Subcarriers with a base noise power higher than the interference tolerance threshold are identified as heavily disturbed carriers. These heavily disturbed carriers are removed from the initial spectrum allocation, and the remaining set of available carriers after removal is used as the target spectrum allocation.

[0013] Optionally, after obtaining the target spectrum allocation for the medical node, the process further includes the following steps: The target spectrum allocation includes both continuous and scattered idle spectrum. Based on the differences in latency sensitivity of physical devices, the medical service flow is divided into life support signaling and routine monitoring data; To meet the low-latency communication requirements of the life-sustaining signaling, the life-sustaining signaling is mapped to the continuous idle spectrum for transmission, and the routine monitoring data is mapped to the scattered idle spectrum for transmission.

[0014] Optionally, the step of extracting the real-time load power of the power supply node, co-arranging the target spectrum allocation with the real-time load power, and determining the target error correction level of the medical service flow includes the following process: Monitor the power jump amplitude of the real-time load power, and calculate the peak value of the pulse interference when the power supply node causes a strong electromagnetic shock based on the power jump amplitude mapping; Take stock of the remaining available bandwidth of the target spectrum allocation; Based on the peak value of the impulse interference, the physical error increment is determined, and within the carrying range of the remaining available bandwidth, the initial redundancy code rate of the medical service flow is increased to the target redundancy code rate, and the target error correction level is output according to the target redundancy code rate.

[0015] Optionally, updating the network scheduling cycle between the medical node and the power supply node based on the target error correction level includes the following process: Extract the terminal decoding latency corresponding to the target error correction level; Obtain the current number of concurrent communication paths of the medical node; Multiply the terminal decoding delay by the number of concurrent communication paths to calculate the total air interface transmission length of a single complete interaction; The physical layer time slot protection interval is superimposed on the total length of the air interface transmission, and the total communication duration obtained by superposition is used as the target scheduling period.

[0016] Optionally, before acquiring the medical service flow of the medical nodes and the discharge pulse characteristics of the power supply nodes within the mobile cabin, the following process is also included: By broadcasting and scanning all network-connected terminals in the mobile cabin through edge nodes, the all network-connected terminals are divided into medical treatment terminals and energy storage power supply terminals according to the hardware network access protocol. The medical treatment terminal is designated as the medical node, and the medical service flow of the medical node is monitored; The energy storage power supply terminal is designated as the power supply node, and an out-of-band control channel is established between the edge node and the power supply node. Discharge pulse characteristics are directly collected through the out-of-band control channel.

[0017] Optionally, after issuing the communication adjustment instruction, the process further includes the following: Track the spatial coordinates of the medical nodes within the modular hospital and use sensors to detect the deformation parameters of the modular hospital's metal walls; When the spatial coordinates of the device exceed the physical boundary of the space anti-interference zone, or when the deformation parameters of the bulkhead cause changes in the bulkhead characteristics, resulting in the failure of the space anti-interference zone compensation, the system is triggered to re-extract the discharge pulse characteristics of the power supply node in order to restart the update flow of the network scheduling cycle.

[0018] Secondly, this application provides an adaptive networking communication system for mobile hospital equipment based on 5G edge computing, comprising: The acquisition module is used to acquire the medical service flow of medical nodes, the discharge pulse characteristics of power supply nodes, and the initial spectrum allocation and bulkhead characteristics within the mobile cabin. The calculation module is used to determine the electromagnetic interference zone around the power supply node based on the characteristics of the discharge pulse, and to calculate the channel attenuation characteristics of the electromagnetic interference zone on the medical service flow. The generation module is used to calculate the bulkhead reflection delay by combining the channel attenuation characteristics and the bulkhead characteristics, and to generate a spatial anti-interference zone for the medical service flow in the electromagnetic interference zone based on the bulkhead reflection delay. The elimination module is used to perform frequency overlap elimination on the initial spectrum allocation based on the available channel quality within the spatial anti-interference zone, so as to obtain the target spectrum allocation for the medical node; The coordination module is used to extract the real-time load power of the power supply node, coordinate the target spectrum allocation with the real-time load power, and determine the target error correction level of the medical service flow. The network scheduling cycle between the medical node and the power supply node is updated based on the target error correction level, and a communication adjustment instruction is issued.

[0019] Thirdly, this application provides a computer-readable storage medium storing a computer program that, when executed by a processor, can implement the steps of the adaptive networking communication method for mobile hospital equipment based on 5G edge computing as described in the first aspect above.

[0020] Compared with the prior art, the beneficial effects of this application are as follows: First, this application accurately defines the electromagnetic interference zone based on the characteristics of the discharge pulse, extending the interference perception from frequency domain detection to the three-dimensional physical space level. This can closely reflect the actual distribution of the electromagnetic field in the metal cabin of the shelter, avoiding the problem of missing three-dimensional interference by relying solely on spectrum scanning.

[0021] Second, this application combines channel attenuation characteristics with bulkhead characteristics such as bulkhead reflection coefficient and electromagnetic incident angle, and actively generates a spatial anti-interference zone through phase cancellation. Compared with the scheme of passively avoiding interference frequency bands, it can construct a clean zone suitable for medical business flow transmission within the electromagnetic interference zone, significantly improving spectrum utilization.

[0022] Third, this application coordinates the real-time load power of the power supply node with the target spectrum allocation, so that the error correction level can be dynamically adjusted with the peak value of the pulse interference caused by the load jump, avoiding the problem of a sudden increase in bit error when the fixed error correction level changes suddenly, and enhancing the robustness of medical business flow under strong electromagnetic shock.

[0023] Fourth, this application dynamically updates the network scheduling cycle based on the target error correction level, enabling air interface resources to be allocated according to the actual decoding latency and concurrent communication path, which significantly reduces the end-to-end latency of life support signaling and meets the stringent requirements of makeshift hospitals for low-latency communication. Attached Figure Description

[0024] To more clearly illustrate the technical solutions of the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0025] Figure 1 A schematic diagram of the overall process of the adaptive networking communication method for mobile hospital equipment based on 5G edge computing provided in the embodiments of this application; Figure 2 A schematic diagram of the network architecture of medical nodes, power supply nodes and edge nodes in a makeshift hospital scenario provided in the embodiments of this application; Figure 3 A schematic diagram showing the distribution of the electromagnetic interference zone and the spatial anti-interference zone in the three-dimensional physical space of the container, as provided in the embodiments of this application; Figure 4 A schematic diagram illustrating the signal phase cancellation principle for generating a space anti-interference zone based on bulkhead reflection delay, provided in this application embodiment; Figure 5 A schematic diagram illustrating the frequency overlap elimination and spectrum mapping process provided in the embodiments of this application; Figure 6 This is a schematic diagram of the dynamic tracking and reconfiguration process provided in the embodiments of this application; Figure 7 A schematic diagram of the module structure of an adaptive networking communication system for mobile hospital equipment based on 5G edge computing, provided in an embodiment of this application. Detailed Implementation

[0026] The application scenario of this application embodiment is a makeshift hospital. The makeshift hospital is internally deployed with 5G edge nodes, which are used to carry out the execution of the communication method of this application embodiment. Various medical devices, collectively referred to as medical nodes, and various energy storage and power supply devices, collectively referred to as power supply nodes, are centrally deployed within the makeshift hospital. The medical nodes communicate with the edge nodes via the 5G air interface to report medical service flows, while the power supply nodes provide power assurance for the entire makeshift hospital.

[0027] To facilitate understanding, the following explanations are provided for several terms used in this application: Medical workflow refers to the business data flow generated by medical nodes, carrying information related to medical treatment. Typical data includes life-sustaining signals such as ECG waveforms, blood oxygen saturation, and respiratory rate, as well as routine monitoring data such as nursing rounds and bedside records. Discharge pulse characteristics refer to the time and frequency domain characteristics of voltage and current pulses generated by energy storage power supply equipment during charging and discharging switching, typically including peak pulse voltage and pulse discharge duration. Electromagnetic interference zone refers to the three-dimensional physical space region surrounding the power supply node where the electromagnetic radiation field strength caused by discharge pulses exceeds the tolerable noise level of the medical workflow. Spatial anti-interference zone refers to a three-dimensional physical sub-region within the electromagnetic interference zone where the medical workflow can transmit normally after spatial phase cancellation processing; the spatial anti-interference zone is not an independent physical isolation chamber, but a relatively undisturbed sub-space created within the interference zone through beamforming techniques. Bulkhead characteristics refer to the physical characteristics of the modular container's metal bulkheads on electromagnetic waves, including the metal reflection coefficient and electromagnetic incident angle.

[0028] See Figure 1 The adaptive networking communication method for mobile hospital equipment based on 5G edge computing provided in this application embodiment specifically includes steps S101 to S106.

[0029] To ensure that medical service flows and discharge pulse characteristics can be clearly and without overlap, a pre-process for network terminal partitioning is included before step S101; and a post-process for dynamic tracking and reconfiguration is included after the communication adjustment command is issued in step S106. The following is a combination of... Figures 2 to 7 Each of the above steps will be explained in detail.

[0030] The specific content of the pre-process is as follows: the edge node broadcasts and scans all network-connected terminals in the cabin, and divides all network-connected terminals into medical treatment terminals and energy storage power supply terminals according to the hardware network access protocol; the medical treatment terminals are designated as medical nodes, and the medical business flow of the medical nodes is monitored; the energy storage power supply terminals are designated as power supply nodes, and an out-of-band control channel is established between the edge node and the power supply node, and the discharge pulse characteristics are directly collected through the out-of-band control channel.

[0031] See Figure 2In practical implementation, the pre-processing can be completed as follows: The edge node first broadcasts a scan of all network-connected terminals within the makeshift hospital. This scan can reuse the cell search and random access procedures in the 5G air interface, ensuring that all network-connected terminals can register at the edge node. The hardware network access protocol can be the terminal capability field carried in the RRC connection establishment procedure specified in 3GPP TS 38.331. This field contains a device type identifier pre-written by the equipment manufacturer according to the unified specifications of the makeshift hospital. When the device type identifier is "medical," the edge node determines that the terminal is a medical treatment terminal; when the device type identifier is "energy," the edge node determines that the terminal is an energy storage and power supply terminal.

[0032] For the medical treatment terminal designated as medical node 201, edge node 203 receives and decodes its uplink data according to the physical uplink shared channel demodulation procedure specified in 3GPP TS 38.214, thereby detecting the medical service flow. For the energy storage power supply terminal designated as power supply node 202, edge node 203 establishes an out-of-band control channel 204 with it, and directly collects discharge pulse characteristics through the out-of-band control channel 204.

[0033] The reason for using the out-of-band control channel instead of the main air interface to collect discharge pulse characteristics is that the discharge pulses generated by the power supply node will interfere with the main air interface. If the discharge pulse characteristics are still reported through the main air interface, the characteristic data itself will be distorted by the interference it describes.

[0034] As a specific example, the out-of-band control channel 204 can be implemented using a wired industrial bus such as a CAN bus, or using a separate low-frequency wireless link such as a long-distance radio link operating in the 470 MHz band. Its operating frequency band avoids the main air interface sensing band, thereby ensuring the accuracy of discharge pulse characteristic acquisition.

[0035] Through the above pre-process, the edge node obtains two independent data sources. On the one hand, it can continuously listen to the medical business flow, and on the other hand, it can stably collect the discharge pulse characteristics, which lays the foundation for data acquisition in the subsequent step S101.

[0036] Step S101: Obtain the medical service flow of the medical nodes in the mobile cabin, the discharge pulse characteristics of the power supply nodes, as well as the initial spectrum allocation and cabin wall characteristics.

[0037] This step provides four types of basic data for subsequent steps S102 to S106. Specifically, the medical service flow is obtained by listening to the uplink of the medical node established in the pre-process; the discharge pulse characteristics are collected by the out-of-band control channel established in the pre-process, including two components: pulse peak voltage and pulse discharge duration; the initial spectrum allocation is a set of subcarriers pre-allocated to the medical node by the 5G edge node within the cabin according to default resource allocation rules, which is represented as a set of several subcarriers, each with a corresponding frequency, bandwidth, and time slot number; and the cabin wall characteristics are periodically collected by an array of electromagnetic sensors pre-deployed at different locations on the cabin wall, including two parameters: metal reflection coefficient and electromagnetic incident deflection angle.

[0038] As a specific example, the peak voltage of the pulse can be obtained in real time by sampling the Hall voltage sensor built into the power supply node, the pulse discharge duration can be measured by the current zero-crossing comparator built into the power supply node, the metal reflection coefficient can be obtained by measuring the ratio of the reflected power of the known incident power signal to the incident power of the bulkhead, and the electromagnetic incident deflection angle can be obtained by measuring the incident electric field component and calculating the arctangent by two mutually perpendicular dipole probes arranged on the bulkhead.

[0039] After this step is completed, although the characteristics of the discharge pulse and the bulkhead have been obtained, the spatial influence range of the discharge pulse and the degree of damage to the medical business flow caused by the interference have not yet been quantified. The edge node cannot directly determine where and with what intensity anti-interference processing should be applied. Therefore, the next step is to proceed to step S102 to quantify the above two pieces of information.

[0040] Step S102: Determine the electromagnetic interference zone around the power supply node based on the characteristics of the discharge pulse, and calculate the channel attenuation characteristics of the electromagnetic interference zone on the medical service flow.

[0041] Furthermore, the peak voltage and duration of the discharge pulse are extracted from the characteristics of the discharge pulse; based on the electromagnetic radiation field strength of the peak voltage, the radiation influence boundary is extrapolated outward from the power supply node, and the three-dimensional physical space within the radiation influence boundary is defined as the electromagnetic interference zone; the initial carrier frequency of the medical service flow is extracted, the radio frequency penetration loss of the initial carrier frequency within the pulse discharge duration is calculated, and the radio frequency penetration loss is used as the channel attenuation feature.

[0042] See Figure 3 The peak voltage and pulse discharge duration are directly read from the discharge pulse characteristics obtained in step S101. The reading method is to perform field parsing on the most recently reported pulse characteristic data frame in the out-of-band control channel buffer.

[0043] For the derivation of the radiation influence boundary, this application uses a dipole radiation near-field model. The radiation influence boundary is defined as the spatial envelope surface corresponding to the attenuation of the electromagnetic radiation field strength to the background noise level. The specific field strength formula used in the derivation is as follows: ,in Distance from power supply node The electric field strength at a distance of meters, This is the peak voltage of the pulse. The distance between the measurement point and the geometric center of the power supply node is the straight-line distance. This is a scaling factor related to the geometry of the power supply node, expressed in volt-meters per volt. The value can be given according to the factory parameter calibration of the power supply node. As a specific example, The possible value is 0.03.

[0044] The radius of the radiation-affected boundary can be obtained by inverse solution from this formula. ,in The pre-set environmental background field strength threshold, for example, can be 3 volts / meter. The specific value can be set according to the requirements of the makeshift hospital for the background electromagnetic environment. The sphere will be centered on the location of the power supply node. The spherical space with radius 301 is defined as the electromagnetic interference zone.

[0045] For calculating the channel attenuation characteristics, this application adopts an extended free-space path loss model with a pulse coupling term superimposed. The reason for using radio frequency penetration loss instead of simple spectrum detection results as the channel attenuation characteristics is that in the semi-enclosed metal environment of the shelter, the impact of interference on the traffic flow is mainly reflected in the energy attenuation of the traffic flow when it crosses the interference zone. This attenuation is strongly correlated with the initial carrier frequency and the pulse discharge duration.

[0046] Specifically, the initial carrier frequency of the medical service flow is read from the configuration information carried by the medical node when it registers with the network; the formula for calculating radio frequency penetration loss is as follows: ,in For the speed of light, take meters per second The initial carrier frequency for the medical service flow, in Hertz. The empirical coupling coefficient is expressed in units of 1000 kJ / m². , The value is determined by calibrating the system during deployment by transmitting a known power signal inside the shelter and measuring the attenuation at the receiver. The calculated value is... As a channel attenuation feature output.

[0047] At this point, the spatial range and attenuation amplitude of the interference zone have been quantified, but the core issue of how to transmit service flows within the interference zone remains unresolved. Considering that the modular shelter uses a metal hull, electromagnetic waves will undergo multiple reflections on the hull walls, forming a complex standing wave field. This creates conditions for actively constructing a destructive region by utilizing the phase characteristics of the reflected waves. Therefore, the next step is to introduce the hull wall features in step S103, and use the delay and phase of the reflected waves to construct an anti-phase beam, thereby opening up a clean zone suitable for the transmission of medical service flows within the interference zone.

[0048] Step S103: Calculate the bulkhead reflection delay by combining the channel attenuation characteristics and bulkhead characteristics, and generate a spatial anti-interference zone for medical service flow in the electromagnetic interference zone based on the bulkhead reflection delay.

[0049] This step is further described as follows: extracting the metal reflection coefficient and electromagnetic incident angle contained in the bulkhead features; combining the reflection intensity brought by the metal reflection coefficient, and using the electromagnetic incident angle and channel attenuation characteristics, calculating the reflection path difference of the medical service flow reaching the electromagnetic interference zone after reflection from the bulkhead surface; estimating the bulkhead reflection delay of the medical service flow based on the reflection path difference and the speed of light; driving the antenna array to transmit a spatial compensation beam with an anti-phase cancellation phase with the bulkhead reflection delay in the electromagnetic interference zone; performing phase cancellation with the reflected interference signal formed by the bulkhead surface in physical space through the spatial compensation beam; defining the interference-free space formed after cancellation as the spatial anti-interference zone.

[0050] See Figure 4 The metal reflection coefficient and electromagnetic incident deflection angle are directly read from the bulkhead features obtained in step S101. The metal reflection coefficient reflects the proportion of electromagnetic waves reflected after reaching the bulkhead, and its value ranges from 0 to 1; the electromagnetic incident deflection angle is the angle between the electromagnetic wave vector and the normal to the bulkhead, and its value ranges from 0 to π / 2.

[0051] For calculating the reflection path difference, this application employs the geometric path difference formula and superimposes a reflection attenuation correction term. The motivation behind this formula is to ensure that the reflection path difference simultaneously reflects the combined effects of reflection ratio, incident geometry, and penetration attenuation. Specifically, the formula for calculating the reflection path difference is as follows: ,in The vertical distance from the medical service flow launch point to the cabin wall is expressed in meters and is obtained by real-time ranging from the ultra-wideband anchor points pre-deployed inside the cabin. The channel attenuation characteristics obtained in step S102; This represents the maximum allowable attenuation value of the system, expressed in decibels (dB). A specific example could be 30 dB, but the exact value can be set based on the minimum signal-to-noise ratio requirements for medical applications. The physical meaning of the above formula is that the reflection path difference increases with the reflection coefficient and decreases with the incident angle. Furthermore, the reflection path difference is amplified when the attenuation value approaches the maximum allowable value, thus enabling subsequent compensation beams to cover a deeper interference area.

[0052] The calculation of bulkhead reflection delay uses the formula of path length to speed of light, i.e. ,in It is the speed of light.

[0053] For the transmission of the space-compensated beam, this application achieves this by driving an antenna array pre-deployed within the shelter. The phase of the space-compensated beam is set to... That is, in the delay Add to the corresponding phase The phase shift causes the reflected interference wave to be out of phase in physical space. The weight vectors of each element in the antenna array are iteratively solved using a least mean square adaptive algorithm. The specific process of this algorithm is as follows: using the received signal sampled within the interference zone... Error between the expected zero signal Let the cost function be calculated using an iterative method. Continuously update the element weights of each array ,in The input signal received by the array element. This represents the complex conjugate operation. This is the step size factor; as a specific example, it can be 0.01. The iteration number; when the error The absolute value is less than the preset convergence threshold, for example The iteration terminates at that time. By utilizing the phase cancellation effect between the spatial compensation beam and the medical service flow in physical space, a cancellation zone with the lowest local signal strength will appear in the area that was originally affected by interference. This application defines the interference-free space after cancellation as the spatial anti-interference zone 302.

[0054] After step S103, the interference environment has been improved at the physical space level. However, the residual noise of each subcarrier in the interference zone is not completely uniform, and some subcarriers are still heavily disturbed even after spatial cancellation processing. If these subcarriers are still allocated and used according to the initial spectrum, the bit error rate of this part of the service flow will be abnormally high. Therefore, it is necessary to further remove the severely disturbed residual subcarriers in the frequency domain, thus proceeding to step S104.

[0055] Step S104: Based on the available channel quality within the spatial anti-interference zone, frequency overlap is eliminated from the initial spectrum allocation to obtain the target spectrum allocation for the medical node.

[0056] This step is further described as follows: within the spatial anti-interference zone, the base noise power of each subcarrier in the initial spectrum allocation is detected, and the base noise power is used as the available channel quality; the base noise power is numerically compared with a pre-set interference tolerance threshold; subcarriers with base noise power higher than the interference tolerance threshold are identified as heavily interfered carriers, and heavily interfered carriers are removed from the initial spectrum allocation, and the set of remaining available carriers after removal is used as the target spectrum allocation.

[0057] See Figure 5 , floor noise power The detection method is as follows: during the guard slot when there is no traffic transmission, the power of each subcarrier in the initial spectrum allocation is continuously sampled K times and a moving average is performed. The formula for calculating the basis noise power is: ,in This is the subcarrier index, with values ​​ranging from 1 to N; The sampling sequence number; For the first The subcarrier at the ... Power measurement value at the time of the second sampling; This represents the sampling window length; for a specific example, it can be 16. The exact value can be set based on the noise change rate within the shelter. The base noise power... This serves as the available channel quality output for the corresponding subcarrier.

[0058] Interference tolerance threshold The value is derived by inversely calculating the minimum signal-to-noise ratio and transmit power required for medical workflows. The inverse calculation formula is as follows: ,in For medical service flow transmission power, The minimum signal-to-noise ratio required to ensure normal demodulation of medical services. As a concrete example, when... Take -60 dBmW, When taking 30 decibels, It can be set to -90 dB / mW, and the specific value can be set according to the quality requirements of medical services.

[0059] Base noise power With interference tolerance threshold Perform carrier-by-carrier comparison, when > When a heavily disturbed subcarrier is identified, it is removed from the initial spectrum allocation. Specifically, this removal operation involves setting the available flag of the corresponding subcarrier to 0 in the spectrum allocation table maintained by the edge nodes. After removal, the remaining set of available carriers constitutes the target spectrum allocation.

[0060] Considering that medical service flows are not homogeneous, life-sustaining signals such as ECG, pulse oximetry, and respiration are highly sensitive to latency, while routine monitoring data such as nursing rounds and bedside records are not sensitive to latency; if the spectrum is simply allocated evenly without distinguishing between the two types of data, the latency of critical signals will not be guaranteed. Therefore, after obtaining the target spectrum allocation, this application further performs the sorting of continuous and fragmented spectrum, as well as the decomposition and mapping of medical service flows.

[0061] Specifically, the sorting process is as follows: sort out the continuous idle spectrum and scattered idle spectrum included in the target spectrum allocation; based on the difference in latency sensitivity of physical devices, the medical service flow is split into life support signaling and routine monitoring data; in order to meet the low latency communication requirements of life support signaling, life support signaling is mapped to the continuous idle spectrum for transmission, and routine monitoring data is mapped to the scattered idle spectrum for transmission.

[0062] One specific implementation of the sorting process is as follows: scan the target spectrum allocation from low to high according to the subcarrier frequency, and merge adjacent available subcarriers into the same continuous segment; if the number of subcarriers contained in a continuous segment is not less than a preset continuous threshold, then the continuous segment is classified into the continuous idle spectrum; otherwise, it is classified into the scattered idle spectrum. As a specific example, the continuous threshold can be 4 subcarriers, and the specific value can be set according to the transmission bandwidth requirements of life support signaling.

[0063] The breakdown of medical service flows is based on the service priority field carried by the medical device during network registration. When the service priority field is "critical", it is classified as life support signaling; when it is "normal", it is classified as routine monitoring data. The reason for mapping life support signaling to continuous idle spectrum and routine monitoring data to scattered idle spectrum is that continuous idle spectrum can complete the transmission of life support signaling in a single transmission, avoiding the additional scheduling delay caused by repeated switching across scattered spectrum; while routine monitoring data has lower latency sensitivity and can withstand the overhead of switching across scattered spectrum.

[0064] After spectrum allocation and service mapping are completed, medical service flow is well protected from a frequency perspective. However, the load power of the power supply node has abrupt changes. For example, when a defibrillator or high-power imaging equipment is activated, the load power can rise rapidly within tens of milliseconds, inducing new pulse interference. If the error correction level remains constant, a sudden increase in bit errors will occur at the moment of power jump. Therefore, the next step is to dynamically adjust the error correction level in step S105.

[0065] Step S105: Extract the real-time load power of the power supply node, and coordinate the target spectrum allocation with the real-time load power to determine the target error correction level of the medical service flow.

[0066] This step is further described as follows: monitor the power jump amplitude of the real-time load power, and calculate the peak value of the pulse interference when the power supply node causes a strong electromagnetic shock based on the power jump amplitude mapping; take stock of the remaining available bandwidth of the target spectrum allocation; determine the physical error increment based on the peak value of the pulse interference, and within the carrying range of the remaining available bandwidth, increase the initial redundancy code rate of the medical business flow to the target redundancy code rate, and output the target error correction level according to the target redundancy code rate.

[0067] Real-time load power Periodic sampling is performed by the power sensor built into the power supply node. As a specific example, the sampling interval can be set to 1 millisecond. The sampling results are reported to the edge node via the out-of-band control channel. Power jump amplitude The calculation method is as follows: in a length of The difference between the maximum and minimum real-time load power is taken within the sliding window, and the calculation formula is as follows: ,in This represents the length of the sliding window; for example, it can be 100 milliseconds.

[0068] Pulse interference peak With power jump amplitude The mapping relationship between them adopts a linear proportional model, and the mapping formula is: ,in This represents the peak interference gain coefficient corresponding to a unit power jump, expressed in volts per watt. The value of is calibrated during the system deployment phase by applying a step load to the power supply node and simultaneously measuring the peak value of the interference. As a specific example, it can be taken as 0.2 volts / watt.

[0069] The reason for using a linear proportional model is that, at the power levels involved, the discharge pulse amplitude and the load power jump exhibit approximately linear characteristics. Using a linear model can balance the calculation accuracy and real-time performance.

[0070] Remaining available bandwidth The inventory method is as follows: The subcarrier bandwidth currently not occupied by services in the target spectrum allocation obtained in step S104 is accumulated, and the calculation formula is as follows: ,in For the first The bandwidth of an idle subcarrier.

[0071] Physical error increment The estimation formula is derived by inversely using the Shannon error estimation formula. ,in For complementary error functions, To account for impulse interference, the effective signal-to-noise ratio (SNR) is calculated as follows: ,in The unit conversion factor from peak interference to equivalent noise power is , with dimensions of 1 / ohm. Its value is pre-calibrated based on the small-scale fading statistical characteristics of the channel between the power supply node and the medical node. As a specific example, it can be taken as 0.01 / ohm.

[0072] Initial Redundancy Rate The upward adjustment method is ,in The initial redundant code rate currently used for the medical business flow can be set to 0.5 as a specific example; As a specific example, the acceptable bit error rate threshold for medical applications can be used as a reference. ; The target redundancy rate is obtained after adjustment; the adjustment process also needs to meet the following constraints. - )×service rate≤ This ensures that the target redundancy code rate falls within the carrying range of the remaining available bandwidth. The service rate is defined as the amount of payload data transmitted by the medical node per unit time under the initial spectrum allocation, and its value is read from the radio resource control connection context maintained by the edge node.

[0073] Based on the target redundancy code rate The specific method for outputting the target error correction level is as follows: a lookup is performed using a pre-constructed code rate to error correction level mapping table. The mapping table is constructed as follows: the redundant code rate range is divided into several sub-ranges as needed, with each sub-range corresponding to a specific error correction level. For example, the redundant code rate range of 0.5 to 0.6 corresponds to a low-level low-density parity-check code, the range of 0.6 to 0.75 corresponds to a medium-level low-density parity-check code, and the range greater than 0.75 corresponds to a high-level low-density parity-check code. The specific sub-range divisions and corresponding levels can be set according to actual communication requirements.

[0074] Adjusting the error correction level changes the decoding time of a single data packet, thus affecting the overall air interface scheduling rhythm. If the scheduling cycle does not change with the error correction level, scheduling conflicts will occur due to increased encoding overhead. Therefore, the next step is to proceed to step S106, where the scheduling cycle is updated in conjunction with the error correction level.

[0075] Step S106: Update the network scheduling cycle between the medical node and the power supply node based on the target error correction level, and issue a communication adjustment command.

[0076] This step is further described as follows: extract the terminal decoding latency corresponding to the target error correction level; obtain the current number of concurrent communication paths of the medical node; multiply the terminal decoding latency by the number of concurrent communication paths to calculate the total air interface transmission length of a single complete interaction; superimpose the physical layer time slot protection interval on the total air interface transmission length, and use the superimposed total communication duration as the target scheduling period.

[0077] The terminal decoding latency is obtained from a mapping table pre-set in the edge nodes to the error correction level. The specific values ​​in the mapping table can be provided by the chip manufacturer in the device datasheet. As a concrete example, low-level low-density parity-check codes correspond to... The acceptable value is 0.1 milliseconds, with 0.2 milliseconds for medium-level and 0.4 milliseconds for high-level.

[0078] The number of concurrent communication paths M is obtained by the edge node counting the currently active Radio Resource Control (RRC) connections. The criteria for determining an active state are: the RRC connection is connected and there is data transmission within the most recent active determination window length. As a specific example, the active determination window length can be 100 milliseconds.

[0079] Total length of air interface transmission in a single complete interaction The calculation is performed using multiplication, and the formula is as follows: Time slot protection interval The cyclic prefix length, as specified in the 5G physical layer protocol, can be taken as 4.7 microseconds as a specific example. Target scheduling period. The calculation is performed using an additive relationship, and the formula is as follows: .

[0080] Finally, the edge nodes are scheduled according to the target period. The system encapsulates communication adjustment instructions at the target error correction level and sends them to the medical and power supply nodes via 5G radio resource control signaling, enabling them to conduct subsequent communication according to the new scheduling cycle and error correction method. As a specific example, the communication adjustment instructions can be carried within a dedicated radio resource configuration cell of the radio resource control reconfiguration message.

[0081] After the communication adjustment command is issued in step S106, the current communication configuration is only effective for the electromagnetic environment of the mobile cabin at the current moment. However, medical nodes may move with the medical staff's cart, and the metal walls of the mobile cabin may deform due to external impacts or temperature changes. These situations may cause the spatial anti-interference zone constructed in step S103 to fail. Therefore, this embodiment of the application further performs a post-process of dynamic tracking and reconfiguration.

[0082] The specific content of the post-process is as follows: track the spatial coordinates of the medical nodes in the cabin and use sensors to detect the deformation parameters of the cabin's metal walls; when the spatial coordinates of the equipment exceed the physical boundary of the space anti-interference zone, or when the deformation parameters of the cabin walls cause changes in the cabin wall characteristics, resulting in the failure of the space anti-interference zone compensation, the system is triggered to re-extract the discharge pulse characteristics of the power supply nodes in order to restart the update flow of the network scheduling cycle.

[0083] See Figure 6 The tracking methods for the equipment's spatial coordinates can be as follows: edge nodes measure the three-dimensional spatial coordinates of the medical node using 5G positioning reference signals at tracking intervals; or positioning can be achieved using three-point ranging via pre-installed ultra-wideband anchor points within the modular shelter. As a specific example, the tracking period can be 200 milliseconds. The detection method for the cabin wall deformation parameter Δd is as follows: a strain sensor array consisting of several resistance strain gauges is deployed on the inner side of the cabin wall. The resistance change output by each strain gauge... Deformation of the location The relationship between them is satisfied ,in The strain coefficient of the strain gauge is denoted as . The original resistance value of the strain gauge is given by the formula, which represents the standard calculation method for strain measurement.

[0084] The edge node performs two checks on the obtained equipment spatial coordinates and bulkhead deformation parameters: Check 1, whether the obtained equipment spatial coordinates exceed the physical boundary of the spatial anti-interference zone 302 obtained in step S103; Check 2, whether the bulkhead deformation parameters exceed a preset deformation threshold, where the preset deformation threshold can be taken as 1 mm as a specific example. If Check 1 is true, it indicates that the medical node is no longer in the effective compensation area; if Check 2 is true, the metal reflection coefficient or electromagnetic incident angle of the bulkhead may have changed, causing spatial compensation beam mismatch calculated based on the original bulkhead characteristics. Regardless of which check is true, the edge node triggers the system to return to step S101, re-extract the discharge pulse characteristics of the power supply node, and sequentially re-execute steps S102 to S106 to restart the network scheduling cycle update flow.

[0085] See Figure 7 Based on the same inventive concept as the above method, this application also provides an adaptive networking communication system 700 for makeshift hospital equipment based on 5G edge computing. The communication system 700 is deployed on a 5G edge node and includes an acquisition module 701, a calculation module 702, a generation module 703, a rejection module 704, and a collaboration module 705, which are connected in sequence.

[0086] The acquisition module 701 is used to acquire the medical service flow of the medical nodes within the mobile cabin, the discharge pulse characteristics of the power supply nodes, as well as the initial spectrum allocation and cabin wall characteristics. The specific functions performed by the acquisition module 701 are consistent with the steps S101 described above. In specific implementations, the acquisition module 701 can correspond to the radio frequency receiving unit and out-of-band control interface on the edge node.

[0087] The calculation module 702, connected to the output of the acquisition module 701, is used to determine the electromagnetic interference zone around the power supply node based on the discharge pulse characteristics, and to calculate the channel attenuation characteristics of the electromagnetic interference zone on the medical service flow. The specific function performed by the calculation module 702 is consistent with the above-described step S102. In a specific implementation, the calculation module 702 can be implemented by the baseband processing unit of the edge node.

[0088] The generation module 703, connected to the output of the calculation module 702, is used to calculate the bulkhead reflection delay by combining channel attenuation characteristics and bulkhead characteristics, and to generate a spatial anti-interference zone for medical service flows within the electromagnetic interference zone based on the bulkhead reflection delay. The specific function performed by the generation module 703 is consistent with the above-described step S103. In a specific implementation, the output of the generation module 703 is connected to an antenna array deployed inside the shelter, used to drive the antenna array to transmit a spatial compensation beam.

[0089] The elimination module 704, connected to the output of the generation module 703, is used to assess the available channel quality within the spatial anti-interference zone. It performs frequency overlap elimination on the initial spectrum allocation to obtain the target spectrum allocation for the medical node. The specific function performed by the elimination module 704 is consistent with step S104 described above.

[0090] The coordination module 705, connected to the output of the rejection module 704, is used to extract the real-time load power of the power supply node, coordinate the target spectrum allocation with the real-time load power to determine the target error correction level of the medical service flow, update the network scheduling cycle between the medical node and the power supply node based on the target error correction level, and issue communication adjustment instructions. The specific functions performed by the coordination module 705 are consistent with the steps S105 and S106 described above. In specific implementation, the output of the coordination module 705 issues communication adjustment instructions to the medical node and the power supply node via the 5G core network interface.

[0091] The aforementioned acquisition module 701, calculation module 702, generation module 703, elimination module 704, and coordination module 705 can be implemented using software, hardware, or a combination of both. For example, each of these modules can be deployed in a chip or chip module with communication capabilities in an edge node. At least some of these modules can run as software programs on a processor integrated within the chip or chip module, while the remaining modules can be implemented using hardware circuitry.

[0092] This application also provides a computer-readable storage medium storing a computer program. When the computer program is run by a processor, it executes all or part of the steps of the communication method described in steps S101 to S106, or executes all or part of the steps in the pre-process and post-process described above. The storage medium may include a read-only memory, a random access memory, a magnetic disk, or an optical disk, and may also include non-volatile memory or non-transient memory.

[0093] The use of "and / or" in the embodiments of this application is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent three situations: A existing alone, A and B existing simultaneously, and B existing alone. The use of terms such as "first," "second," etc., in the embodiments of this application is only for illustration and differentiation of the described objects, and has no order, nor does it indicate a specific limitation on the number of devices in the embodiments of this application, and cannot constitute any limitation on the embodiments of this application.

[0094] While this application discloses the above information, it is not limited thereto. Any person skilled in the art can make various modifications and alterations without departing from the spirit and scope of this application; therefore, the scope of protection of this application shall be determined by the scope defined in the claims.

Claims

1. An adaptive networking communication method for mobile hospital equipment based on 5G edge computing, characterized in that, include: Acquire the medical service flow of medical nodes and the discharge pulse characteristics of power supply nodes within the modular hospital, as well as the initial spectrum allocation and bulkhead characteristics; The electromagnetic interference zone around the power supply node is determined based on the discharge pulse characteristics, and the channel attenuation characteristics of the electromagnetic interference zone on the medical service flow are calculated. The bulkhead reflection delay is calculated by combining the channel attenuation characteristics and the bulkhead characteristics, and a spatial anti-interference zone for the medical service flow is generated in the electromagnetic interference zone based on the bulkhead reflection delay. Based on the available channel quality within the spatial anti-interference zone, frequency overlap elimination is performed on the initial spectrum allocation to obtain the target spectrum allocation for the medical node; Extract the real-time load power of the power supply node, coordinate the target spectrum allocation with the real-time load power, and determine the target error correction level of the medical service flow; The network scheduling cycle between the medical node and the power supply node is updated based on the target error correction level, and a communication adjustment instruction is issued.

2. The adaptive networking communication method for mobile hospital equipment based on 5G edge computing according to claim 1, characterized in that, The electromagnetic interference zone around the power supply node is determined based on the discharge pulse characteristics, and the channel attenuation characteristics of the electromagnetic interference zone on the medical service flow are calculated, including the following process: Extract the peak voltage and discharge duration of the discharge pulse characteristics. Based on the electromagnetic radiation field strength of the pulse peak voltage, the radiation influence boundary is extrapolated outward along the power supply node, and the three-dimensional physical space within the radiation influence boundary is defined as the electromagnetic interference zone. Extract the initial carrier frequency of the medical service flow, calculate the radio frequency penetration loss of the initial carrier frequency within the pulse discharge duration, and use the radio frequency penetration loss as a channel attenuation feature.

3. The adaptive networking communication method for mobile hospital equipment based on 5G edge computing according to claim 1, characterized in that, The bulkhead reflection delay is calculated by combining the channel attenuation characteristics and the bulkhead characteristics. Based on the bulkhead reflection delay, a spatial anti-interference zone for the medical service flow is generated within the electromagnetic interference zone, comprising the following process: Extract the metal reflection coefficient and electromagnetic incident angle contained in the bulkhead features; Combining the reflection intensity caused by the metal reflection coefficient, and using the electromagnetic incident angle and the channel attenuation characteristics, the reflection path difference of the medical service flow reaching the electromagnetic interference zone after being reflected from the surface of the bulkhead is calculated. Based on the difference in reflection path and the speed of light, the bulkhead reflection delay of the medical service flow is calculated; The driving antenna array transmits a spatial compensation beam with an anti-phase cancellation phase with the reflection delay of the bulkhead within the electromagnetic interference zone. The spatial compensation beam cancels the phase of the reflected interference signal formed by the reflection of the bulkhead surface in physical space, and the interference-free space formed after the cancellation is defined as the spatial anti-interference zone.

4. The adaptive networking communication method for mobile hospital equipment based on 5G edge computing according to claim 1, characterized in that, Based on the available channel quality within the spatial anti-interference zone, frequency overlap is eliminated in the initial spectrum allocation to obtain the target spectrum allocation for the medical node, comprising the following process: Within the spatial anti-interference zone, the base noise power of each subcarrier in the initial spectrum allocation is detected, and the base noise power is used as the available channel quality; The base noise power is numerically compared with a preset interference tolerance threshold; Subcarriers with a base noise power higher than the interference tolerance threshold are identified as heavily disturbed carriers. These heavily disturbed carriers are removed from the initial spectrum allocation, and the remaining set of available carriers after removal is used as the target spectrum allocation.

5. The adaptive networking communication method for mobile hospital equipment based on 5G edge computing according to claim 4, characterized in that, After obtaining the target spectrum allocation for the medical node, the following process is also included: The target spectrum allocation includes both continuous and scattered idle spectrum. Based on the differences in latency sensitivity of physical devices, the medical service flow is divided into life support signaling and routine monitoring data; The life support signaling is mapped to the continuous idle spectrum for transmission, and the routine monitoring data is mapped to the scattered idle spectrum for transmission.

6. The adaptive networking communication method for mobile hospital equipment based on 5G edge computing according to claim 1, characterized in that, Extracting the real-time load power of the power supply node, co-arranging the target spectrum allocation with the real-time load power, and determining the target error correction level of the medical service flow includes the following process: Monitor the power jump amplitude of the real-time load power, and calculate the peak value of the pulse interference when the power supply node causes a strong electromagnetic shock based on the power jump amplitude mapping; Take stock of the remaining available bandwidth of the target spectrum allocation; Based on the peak value of the impulse interference, the physical error increment is determined. Within the remaining available bandwidth, the initial redundancy code rate of the medical service flow is increased to the target redundancy code rate, and the target error correction level is output according to the target redundancy code rate.

7. The adaptive networking communication method for mobile hospital equipment based on 5G edge computing according to claim 1, characterized in that, The process of updating the network scheduling cycle between the medical node and the power supply node based on the target error correction level includes the following steps: Extract the terminal decoding latency corresponding to the target error correction level; Obtain the current number of concurrent communication paths of the medical node; Multiply the terminal decoding delay by the number of concurrent communication paths to calculate the total air interface transmission length of a single complete interaction; The physical layer time slot protection interval is superimposed on the total length of the air interface transmission, and the total communication duration obtained by superposition is used as the target scheduling period.

8. The adaptive networking communication method for mobile hospital equipment based on 5G edge computing according to claim 1, characterized in that, Before obtaining the medical service flow of the medical nodes and the discharge pulse characteristics of the power supply nodes within the mobile medical facility, the following process is also included: By broadcasting and scanning all network-connected terminals in the mobile cabin through edge nodes, the all network-connected terminals are divided into medical treatment terminals and energy storage power supply terminals according to the hardware network access protocol. The medical treatment terminal is designated as the medical node, and the medical service flow of the medical node is monitored; The energy storage power supply terminal is designated as the power supply node, and an out-of-band control channel is established between the edge node and the power supply node. Discharge pulse characteristics are directly collected through the out-of-band control channel.

9. The adaptive networking communication method for mobile hospital equipment based on 5G edge computing according to claim 1, characterized in that, After issuing the communication adjustment command, the following process is also included: Track the spatial coordinates of the medical nodes within the modular hospital and use sensors to detect the deformation parameters of the modular hospital's metal walls; When the spatial coordinates of the device exceed the physical boundary of the space anti-interference zone, or when the deformation parameters of the bulkhead cause changes in the bulkhead characteristics, resulting in the failure of the space anti-interference zone compensation, the discharge pulse characteristics of the power supply node are re-extracted, and the update flow of the network scheduling cycle is restarted.

10. An adaptive networking communication system for mobile hospital equipment based on 5G edge computing, characterized in that, include: The acquisition module is used to acquire the medical service flow of medical nodes, the discharge pulse characteristics of power supply nodes, and the initial spectrum allocation and bulkhead characteristics within the mobile cabin. The calculation module is used to determine the electromagnetic interference zone around the power supply node based on the characteristics of the discharge pulse, and to calculate the channel attenuation characteristics of the electromagnetic interference zone on the medical service flow. The generation module is used to calculate the bulkhead reflection delay by combining the channel attenuation characteristics and the bulkhead characteristics, and to generate a spatial anti-interference zone for the medical service flow in the electromagnetic interference zone based on the bulkhead reflection delay. The elimination module is used to perform frequency overlap elimination on the initial spectrum allocation based on the available channel quality within the spatial anti-interference zone, so as to obtain the target spectrum allocation for the medical node; The coordination module is used to extract the real-time load power of the power supply node, coordinate the target spectrum allocation with the real-time load power, and determine the target error correction level of the medical service flow. The network scheduling cycle between the medical node and the power supply node is updated based on the target error correction level, and a communication adjustment instruction is issued.

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