Remote intelligent triage screen management system and method thereof

Abstract

The invention provides a triage screen remote intelligent management system and a method thereof. The system comprises a triage screen remote intelligent management middle table, a data acquisition module, a computing power node determination module, a blockage coefficient determination module, a transmission path determination module and a data transmission module. The data acquisition module acquires to-be-displayed triage data and a data packet size of a target triage screen; the computing power node determination module determines an optimal edge computing power node based on the size of the data packet; a blockage coefficient determination module determines a path blockage coefficient of each data transmission path according to path information of each data transmission path in the optimal edge computing power node; a transmission path determination module determines an optimal transmission path according to the path blocking coefficient of each data transmission path; and the data transmission module transmits the to-be-displayed triage data to the target triage screen based on the optimal transmission path, so that the target triage screen displays the to-be-displayed triage data. According to the invention, the problem of remote control instruction transmission delay is solved, and the triage efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the field of computer technology, and in particular to a remote intelligent management system for triage screens. Background Art

[0002] Remote management of triage screens is to use communication technology to remotely control triage screens in hospitals and other places. At present, remote management of triage screens is mainly based on remote control methods based on network communication, that is, the triage screen terminal is connected to the remote control center or server through the Internet, and data is transmitted through a specific communication protocol. The remote control center can send instructions to the triage screen to adjust the screen display content, brightness, sound and other parameters, as well as publish and update information. For example, the hospital's information management system can transmit the patient's triage information to each triage screen in real time, making it easier for patients to understand the medical process. However, the current remote control method is highly dependent on network stability. If the network fails, the signal is unstable or the bandwidth is insufficient, it will cause a delay in the transmission of remote control instructions, so that the triage information cannot be updated on the triage screen in time, resulting in patients not being able to obtain the triage information on the triage screen in real time and accurately, affecting the triage efficiency. Summary of the invention

[0003] The present invention provides a remote intelligent management system for a triage screen and a method thereof, aiming to solve the problem that the triage information cannot be updated on the triage screen in time due to the delay in the transmission of remote control instructions, resulting in the patient being unable to obtain the triage information on the triage screen in real time and accurately, thereby improving the triage efficiency.

[0004] In a first aspect, the present invention provides a remote intelligent management system for a triage screen, including a remote intelligent management center for a triage screen, a data acquisition module, a computing power node determination module, a congestion coefficient determination module, a transmission path determination module, and a data transmission module; the remote intelligent management center for a triage screen is respectively connected to the data acquisition module, the computing power node determination module, the congestion coefficient determination module, the transmission path determination module, and the data transmission module, for storing and managing data of each module;

[0005] A data acquisition module, used for acquiring the to-be-displayed triage data of the target triage screen and the data packet size of the to-be-displayed triage data;

[0006] A computing power node determination module, used to determine the optimal edge computing power node based on the data packet size;

[0007] A congestion coefficient determination module, used to determine the path congestion coefficient of each data transmission path according to the path information of each data transmission path in the optimal edge computing power node;

[0008] A transmission path determination module, used to determine the optimal transmission path in the optimal edge computing power node according to the path congestion coefficient of each data transmission path;

[0009] A data transmission module is used to transmit the triage data to be displayed to the target triage screen based on the optimal transmission path, so that the target triage screen displays the triage data to be displayed.

[0010] In a second aspect, the present invention further provides a remote intelligent management method for a triage screen, which is applied to the remote intelligent management system for a triage screen described in the first aspect, and the remote intelligent management method for a triage screen comprises:

[0011] Acquire the to-be-displayed triage data of the target triage screen and the data packet size of the to-be-displayed triage data;

[0012] Determining an optimal edge computing node based on the data packet size;

[0013] Determine a path congestion coefficient of each data transmission path according to the path information of each data transmission path in the optimal edge computing power node;

[0014] Determine the optimal transmission path in the optimal edge computing power node according to the path congestion coefficient of each data transmission path;

[0015] The to-be-displayed triage data is transmitted to the target triage screen based on the optimal transmission path, so that the target triage screen displays the to-be-displayed triage data.

[0016] According to the remote intelligent management method of the triage screen provided by an embodiment of the present invention, the path congestion coefficient of each data transmission path is determined according to the path information of each data transmission path in the optimal edge computing power node, including:

[0017] Calculate the path link utilization of each data transmission path based on the total transmission capacity and the effective transmission capacity of each data transmission path;

[0018] Based on the total number of data transmissions, the number of successful data transmissions, and the number of successful retransmissions after data transmission failures on each data transmission path, the path packet loss retransmission rate of each data transmission path is calculated;

[0019] Based on the transmission delays of two adjacent monitoring points in each data transmission path, a path transmission delay gradient of each data transmission path is calculated; a plurality of monitoring points are set in each data transmission path;

[0020] The path link utilization, the path packet loss retransmission rate and the path transmission delay gradient are used as the path information, and based on the path link utilization, the path packet loss retransmission rate and the path transmission delay gradient of each data transmission path, the path congestion coefficient of each data transmission path is determined.

[0021] According to the remote intelligent management method for triage screen provided by an embodiment of the present invention, the calculation formula of the path congestion coefficient of each data transmission path is as follows:

[0022]

[0023] Where C represents the path congestion coefficient of each data transmission path, P loss represents the packet loss and retransmission rate of each data transmission path, D rate represents the path transmission delay gradient of each data transmission path, B rate represents the path link utilization of each data transmission path, and e represents the base of the exponential function.

[0024] According to the remote intelligent management method of the triage screen provided by an embodiment of the present invention, determining the optimal transmission path in the optimal edge computing power node according to the path congestion coefficient of each data transmission path in the optimal edge computing power node includes:

[0025] Acquire a set of data transmission paths whose path congestion coefficient is less than or equal to a preset congestion coefficient;

[0026] If the number of data transmission paths in the data transmission path set is less than a preset number, setting the data transmission path in the data transmission path set as the optimal transmission path;

[0027] If the number of data transmission paths in the data transmission path set is greater than or equal to the preset number, the effective time entropy and the total time entropy of each target transmission path in the data transmission path set are obtained; and the optimal transmission path is determined based on the effective time entropy and the total time entropy of each target transmission path.

[0028] According to the remote intelligent management method of the triage screen provided by an embodiment of the present invention, the determining of the optimal transmission path according to the effective time entropy and the total time entropy of each target transmission path includes:

[0029] Based on the effective time entropy and the total time entropy of each target transmission path, the time entropy ratio of each target transmission path is determined;

[0030] Determine the target transmission path corresponding to the minimum time-effective entropy ratio as the optimal transmission path;

[0031] Accordingly, the calculation formula of the time-effective entropy ratio of each target transmission path is as follows:

[0032]

[0033]

[0034] Among them, R j represents the time-effective entropy ratio of the jth target transmission path, represents the total time-effective entropy of the jth target transmission path, represents the effective time entropy of the jth target transmission path, represents the transmission duration value range of the jth target transmission path; Indicates discretizing the transmission duration of the jth transmission path into n different values The corresponding frequencies of occurrence.

[0035] According to the remote intelligent management method of the triage screen provided by an embodiment of the present invention, the determining of the optimal edge computing node based on the data packet size includes:

[0036] Determine the final available bandwidth of each edge computing node based on the currently used bandwidth of each edge computing node, the total node bandwidth, and the bandwidth fluctuation coefficient;

[0037] Determining a target edge computing node based on the data packet size and the final available bandwidth of each edge computing node;

[0038] The optimal edge computing node is determined based on the current processing data volume, maximum processing capacity, current task queue length and average task processing speed of each target edge computing node.

[0039] According to the remote intelligent management method of the triage screen provided by an embodiment of the present invention, the optimal edge computing node is determined based on the current processing data volume, maximum processing capacity, current task queue length and average task processing speed of each target edge computing node, including:

[0040] Determine the node processing capacity occupancy rate of each target edge computing node based on the current processing data volume and maximum processing capacity of each target edge computing node;

[0041] Determine the task queue length coefficient of each target edge computing node based on the current task queue length and average task processing speed of each target edge computing node;

[0042] Determine the node load of each target edge computing node based on the node processing capacity occupancy rate and task queue length coefficient of each target edge computing node;

[0043] The optimal edge computing node is determined based on the node load of each target edge computing node.

[0044] In a third aspect, the present invention further provides an electronic device, comprising: a memory for storing a computer software program; and a processor for reading and executing the computer software program, thereby implementing any of the above-mentioned remote intelligent management methods for the triage screen.

[0045] In a fourth aspect, the present invention further provides a non-transitory computer-readable storage medium, wherein the storage medium stores a computer software program, and when the computer software program is executed by a processor, the remote intelligent management method of the triage screen as described in any one of the above-mentioned methods.

[0046] In a fifth aspect, the present invention further provides a computer program product, comprising a computer program, which, when executed by a processor, implements any of the above-mentioned methods for remote intelligent management of a triage screen.

[0047] The remote intelligent management system for triage screens provided in an embodiment of the present invention includes a remote intelligent management platform for triage screens, a data acquisition module, a computing power node determination module, a congestion coefficient determination module, a transmission path determination module, and a data transmission module. Based on the above-mentioned remote intelligent management system for triage screens, the optimal edge computing power node whose data packet size meets the requirements can be used to determine the optimal transmission path whose path congestion coefficient meets the requirements according to the path information of each data transmission path, and finally the triage data to be displayed is transmitted to the target triage screen through the optimal transmission path, realizing data transmission through the optimal transmission path in the optimal edge computing power node, reducing the delay in the process of data transmission to be displayed, so that the data to be displayed can be updated in the triage screen in a timely manner, and the patient can obtain the triage information on the triage screen in real time and accurately, thereby improving the triage efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 It is a structural schematic diagram of the remote intelligent management system of the triage screen provided by the present invention;

[0049] Figure 2 It is a flow chart of the remote intelligent management method of the triage screen provided by the present invention;

[0050] Figure 3 An embodiment diagram of an electronic device provided by an embodiment of the present invention;

[0051] Figure 4 An embodiment diagram of a computer-readable storage medium provided for an embodiment of the present invention. DETAILED DESCRIPTION

[0052] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0053] In the description of the present invention, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, the meaning of "plurality" is two or more, unless otherwise clearly and specifically defined.

[0054] In the description of the present invention, the term "for example" is used to mean "used as an example, illustration or explanation". Any embodiment described as "for example" in the present invention is not necessarily to be construed as being more preferred or advantageous than other embodiments. The following description is given to enable any technician in the field to implement and use the present invention. In the following description, details are listed for the purpose of explanation. It should be understood that a person of ordinary skill in the art can recognize that the present invention can be implemented without using these specific details. In other examples, well-known structures and processes will not be elaborated in detail to avoid obscuring the description of the present invention with unnecessary details. Therefore, the present invention is not intended to be limited to the embodiments shown, but is consistent with the widest scope consistent with the principles and features disclosed in the present invention.

[0055] Optional, see Figure 1 As shown, Figure 1 It is a structural diagram of the remote intelligent management system of the triage screen provided by the present invention, and the remote intelligent management system of the triage screen includes a remote intelligent management center of the triage screen, a data acquisition module, a computing power node determination module, a congestion coefficient determination module, a transmission path determination module and a data transmission module. In one embodiment, the remote intelligent management center of the triage screen is respectively connected to the data acquisition module, the computing power node determination module, the congestion coefficient determination module, the transmission path determination module and the data transmission module to store and manage the data of each module.

[0056] Among them, the remote intelligent management system of the triage screen in the embodiment of the present invention is designed based on the edge computing architecture. Therefore, the remote intelligent management system of the triage screen can be understood as a server cluster, including multiple edge computing nodes, and each edge computing node can be understood as a server.

[0057] Furthermore, when the user needs to send the triage data to the corresponding target triage screen, the triage screen remote command can be triggered, and the triage data to be displayed in the target triage screen can be uploaded. Therefore, the remote intelligent management center of the triage screen responds to the remote command of the triage screen triggered by the user, controls the data acquisition module to obtain the triage data to be displayed on the target triage screen, and at the same time, needs to obtain the data packet size of the triage data to be displayed, where the data packet size can be understood as the number of bytes contained in each data, for example, a data packet size of 1000 bytes, that is, the data carries 1000 bytes of data information.

[0058] Furthermore, the computing power node determines the optimal edge computing power node that meets the data packet size requirements based on the bandwidth conditions and data packet size of each edge computing power node.

[0059] Furthermore, the congestion coefficient determination module determines the path congestion coefficient of each data transmission path according to the path information of each data transmission path in the optimal edge computing power node.

[0060] Furthermore, the transmission path determination module determines the optimal transmission path in the optimal edge computing power node according to the path congestion coefficient of each data transmission path.

[0061] Furthermore, the data transmission module transmits the to-be-displayed triage data to the target triage screen via the optimal transmission path. After receiving the to-be-displayed triage data, the target triage screen can process the to-be-displayed triage data, such as data decoding and data analysis, and display the processed results on the target triage screen.

[0062] The remote intelligent management system for triage screens provided in an embodiment of the present invention includes a remote intelligent management platform for triage screens, a data acquisition module, a computing power node determination module, a congestion coefficient determination module, a transmission path determination module, and a data transmission module. Based on the above-mentioned remote intelligent management system for triage screens, according to the optimal edge computing power node whose data packet size meets the requirements, the optimal transmission path whose path congestion coefficient meets the requirements is determined according to the path information of each data transmission path, and finally the triage data to be displayed is transmitted to the target triage screen through the optimal transmission path, realizing data transmission through the optimal transmission path in the optimal edge computing power node, reducing the delay in the process of data transmission to be displayed, so that the data to be displayed can be updated in time in the triage screen, and the patient can obtain the triage information on the triage screen in real time and accurately, thereby improving the triage efficiency.

[0063] Optional, see Figure 2 , Figure 2It is a flow chart of the remote intelligent management method of the triage screen provided by the present invention. In the embodiment of the present invention, the execution subject of the remote intelligent management method of the triage screen is the intelligent operation management system, therefore, the remote intelligent management method of the triage screen includes: step 10, obtaining the triage data to be displayed on the target triage screen and the data packet size of the triage data to be displayed.

[0064] The remote intelligent management system of the triage screen in the embodiment of the present invention is designed based on the edge computing architecture. Therefore, the remote intelligent management system of the triage screen can be understood as a server cluster, including multiple edge computing nodes, and each edge computing node can be understood as a server.

[0065] Furthermore, when the user needs to send the triage data to the corresponding target triage screen, the triage screen remote command can be triggered, and the triage data to be displayed in the target triage screen can be uploaded. Therefore, the triage screen remote intelligent management system responds to the triage screen remote command triggered by the user, obtains the triage data to be displayed on the target triage screen and the data packet size of the triage data to be displayed, wherein the data packet size can be understood as the number of bytes of data contained in each data.

[0066] Step 20, determine the optimal edge computing node based on the data packet size.

[0067] Furthermore, the triage screen remote intelligent management system obtains the bandwidth status of each edge computing node, and determines the optimal edge computing node according to the bandwidth status of each edge computing node and the data packet size, as described in steps 201 to 203.

[0068] Step 30, determine the path congestion coefficient of each data transmission path according to the path information of each data transmission path in the optimal edge computing power node.

[0069] Furthermore, the triage screen remote intelligent management system obtains the total transmission capacity, effective transmission capacity, total data transmission times, successful data transmission times, successful retransmission times after data transmission failure, and transmission delay between two adjacent monitoring points in each data transmission path.

[0070] Furthermore, the triage screen remote intelligent management system determines the path information of each data transmission path based on the total transmission capacity, effective transmission capacity, total data transmission times, successful data transmission times, successful retransmission times after data transmission failure, and transmission delay between two adjacent monitoring points in each data transmission path, wherein the path information may include path link utilization, path packet loss retransmission rate, and path transmission delay gradient, as specifically described in steps 301 to 304.

[0071] Step 40, determining the optimal transmission path in the optimal edge computing power node according to the path congestion coefficient of each data transmission path.

[0072] Furthermore, the triage screen remote intelligent management system determines the optimal transmission path in the optimal edge computing node based on the path congestion coefficient of each data transmission path, wherein the optimal transmission path is the data transmission path with the smallest path congestion coefficient, as specifically described in steps 401 to 403.

[0073] Step 50: transmitting the to-be-displayed triage data to the target triage screen based on the optimal transmission path, so that the target triage screen displays the to-be-displayed triage data.

[0074] Furthermore, the remote intelligent management system of the triage screen transmits the triage data to be displayed to the target triage screen through the optimal transmission path. After receiving the triage data to be displayed, the target triage screen can process the triage data to be displayed, such as data decoding and data analysis, and display the processed results on the target triage screen.

[0075] The embodiment of the present invention determines the optimal transmission path with a path congestion coefficient that meets the requirements according to the optimal edge computing power node whose data packet size meets the requirements and the path information of each data transmission path, and finally transmits the triage data to be displayed to the target triage screen through the optimal transmission path, thereby realizing data transmission through the optimal transmission path in the optimal edge computing power node, reducing the delay in the process of transmitting the data to be displayed. Therefore, the data to be displayed can be updated in the triage screen in time, and the patient can obtain the triage information on the triage screen in real time and accurately, thereby improving the triage efficiency.

[0076] Further, the description of step 201 to step 203 is as follows:

[0077] Step 201, based on the currently used bandwidth of each edge computing node, the total node bandwidth and the bandwidth fluctuation coefficient, determine the final available bandwidth of each edge computing node.

[0078] Specifically, the triage screen remote intelligent management system obtains the currently used bandwidth and the total node bandwidth of each edge computing node, and calculates the remaining usable bandwidth of each edge computing node based on the currently used bandwidth and the total node bandwidth of each edge computing node. Therefore, the remaining usable bandwidth of each edge computing node = total node bandwidth - currently used bandwidth.

[0079] Furthermore, the remote intelligent management system of the triage screen obtains the bandwidth fluctuation coefficient of each edge computing node. The specific process is as follows: In one embodiment, in the time interval [t 1 ,t 2 ], the bandwidth of each edge computing node is measured n times, and the bandwidth value of each measurement is Bi , the average bandwidth of n detections is Therefore, the calculation formula for the bandwidth fluctuation coefficient of each edge computing node is:

[0080]

[0081] Among them, S bw Indicates the bandwidth fluctuation coefficient of each edge computing node.

[0082] Furthermore, the remote intelligent management system of the triage screen calculates the final available bandwidth of each edge computing node based on the remaining available bandwidth and bandwidth fluctuation coefficient of each edge computing node. The formula is as follows:

[0083] B bw =(B total -B used )*(1-S bw )

[0084] Among them, B bw represents the final available bandwidth of each edge computing node, B total represents the total node bandwidth of each edge computing node, B used Indicates the currently used bandwidth of each edge computing node.

[0085] Step 202, determine the target edge computing node based on the data packet size and the final available bandwidth of each edge computing node.

[0086] Furthermore, the triage screen remote intelligent management system compares the data packet size with the final available bandwidth of each edge computing node to obtain a comparison result.

[0087] Furthermore, if the comparison result is that the final available bandwidth of the edge computing node is greater than or equal to a preset number of times the data packet size, the triage screen remote intelligent management system will determine the edge computing node as the target edge computing node, wherein the purpose of setting the preset number of times is to ensure that the edge computing node has sufficient bandwidth to transmit the triage data to be displayed, and the preset number of times is set according to the actual situation, such as 3 times, 5 times, etc.

[0088] In one embodiment, the data packet size is 2MB, the preset number multiple is 3, and the final usable bandwidth of edge computing node 1, edge computing node 2, edge computing node 3 and edge computing node 4 is 10Mbps, 4Mbps, 8Mbps and 6Mbps, which are 5 times, 2 times, 4 times and 3 times the data packet size respectively. Therefore, the target edge computing nodes are edge computing node 1, edge computing node 3 and edge computing node 4.

[0089] Step 203, determine the optimal edge computing node based on the current processing data volume, maximum processing capacity, current task queue length and average task processing speed of each target edge computing node.

[0090] Furthermore, if the number of target edge computing nodes is less than the preset number at this time, the triage screen remote intelligent management system determines the target edge computing node as the optimal edge computing node, wherein the preset number in the embodiment of the present invention is 2. In one embodiment, if the target edge computing node is edge computing node 1, edge computing node 1 is directly determined as the optimal edge computing node. If the target edge computing nodes are edge computing node 1 and edge computing node 2, one of them needs to be determined as the optimal edge computing node.

[0091] Furthermore, if the number of target edge computing nodes is greater than or equal to the preset number at this time, the triage screen remote intelligent management system obtains the current processing data volume, maximum processing capacity, current task queue length and average task processing speed of each target edge computing node, and determines the optimal edge computing node based on the current processing data volume, maximum processing capacity, current task queue length and average task processing speed of each target edge computing node, as described in steps 2031 to 2034.

[0092] The embodiment of the present invention determines the target edge computing node that meets the data packet size requirements according to the data packet size and the currently used bandwidth of each edge computing node, the total node bandwidth and the bandwidth fluctuation coefficient, and then determines the optimal transmission path that meets the data packet size requirements according to the current processing data volume, maximum processing capacity, current task queue length and average task processing speed of each target edge computing node. Finally, the triage data to be displayed is transmitted to the target triage screen through the optimal transmission path, reducing the delay of the data to be displayed in the transmission process. Therefore, the data to be displayed can be updated in the triage screen in time, and the patient can obtain the triage information on the triage screen in real time and accurately, thereby improving the triage efficiency.

[0093] Further, the description of step 2031 to step 2034 is as follows:

[0094] Step 2031, based on the current processing data volume and maximum processing capacity of each target edge computing node, determine the node processing capacity occupancy rate of each target edge computing node.

[0095] Specifically, the triage screen remote intelligent management system obtains the current processing data volume, maximum processing capacity, current task queue length and average task processing speed of each target edge computing node.

[0096] Furthermore, the remote intelligent management system of the triage screen calculates the node processing capacity occupancy rate of each target edge computing node according to the current processing data volume and maximum processing capacity of each target edge computing node. The specific calculation formula is as follows:

[0097]

[0098] Among them, O i represents the node processing capacity occupancy rate of the i-th target edge computing node, D i represents the current processing data volume of the i-th target edge computing node, C max,i Indicates the maximum processing capacity of the i-th target edge computing node.

[0099] Step 2032, based on the current task queue length and average task processing speed of each target edge computing node, determine the task queue length coefficient of each target edge computing node.

[0100] Furthermore, the remote intelligent management system of the triage screen calculates the task queue length coefficient of each target edge computing node according to the current task queue length and average task processing speed of each target edge computing node. The specific calculation formula is as follows:

[0101]

[0102] Among them, L i represents the task queue length coefficient of the i-th target edge computing node, Q i represents the current task queue length of the i-th target edge computing node, V avg,i Represents the average task processing speed of the i-th target edge computing node.

[0103] Step 2033, determining the node load of each target edge computing node based on the node processing capacity occupancy rate and the task queue length coefficient of each target edge computing node;

[0104] Furthermore, the triage screen remote intelligent management system calculates the node load of each target edge computing node according to the node processing capacity occupancy rate and task queue length coefficient of each target edge computing node. The specific calculation formula is as follows:

[0105]

[0106] Among them, F i represents the node load of the i-th target edge computing node, and e represents the base of the exponential function.

[0107] Step 2034, determine the optimal edge computing node based on the node load of each target edge computing node.

[0108] Furthermore, the triage screen remote intelligent management system compares the node loads of each target edge computing node in numerical value, and determines the target edge computing node corresponding to the node load with the smallest value in the comparison result as the optimal edge computing node.

[0109] The embodiment of the present invention determines the optimal transmission path that meets the data packet size requirements according to the current processing data volume, maximum processing capacity, current task queue length and average task processing speed of each target edge computing node, and finally transmits the triage data to be displayed to the target triage screen through the optimal transmission path, thereby reducing the delay of the data to be displayed in the transmission process. Therefore, the data to be displayed can be updated in the triage screen in time, and the patient can obtain the triage information on the triage screen in real time and accurately, thereby improving the triage efficiency.

[0110] Further, the description of step 301 to step 304 is as follows:

[0111] Step 301: Calculate the path link utilization of each data transmission path based on the total transmission capacity and effective transmission capacity of each data transmission path.

[0112] Specifically, each data transmission path in the embodiment of the present invention is provided with a plurality of monitoring points.

[0113] Optionally, the triage screen remote intelligent management system obtains the total transmission capacity, effective transmission capacity, total data transmission times, successful data transmission times, successful retransmission times after data transmission failure, and transmission delay between two adjacent monitoring points for each data transmission path.

[0114] Among them, the total transmission capacity and effective transmission capacity of each data transmission path are related to the noise power spectrum density, signal power and bandwidth of each data transmission path. The specific formula is as follows:

[0115]

[0116] Among them, C total represents the total transmission capacity of each data transmission path, B 0 represents the theoretical bandwidth of each data transmission path, S represents the theoretical signal power of each data transmission path, and N 0 represents the theoretical noise power spectral density of each data transmission path, C eff represents the effective transmission capacity of each data transmission path, B 0 represents the actual bandwidth of each data transmission path, S represents the actual signal power of each data transmission path, and N 0 Represents the actual noise power spectral density of each data transmission path.

[0117] Furthermore, the remote intelligent management system of the triage screen calculates the path link utilization of each data transmission path according to the total transmission capacity and effective transmission capacity of each data transmission path. The specific formula is as follows:

[0118]

[0119] Among them, B rate Indicates the path link utilization of each data transmission path.

[0120] Step 302 , based on the total number of data transmissions, the number of successful data transmissions, and the number of successful retransmissions after data transmission failures on each data transmission path, calculate the packet loss retransmission rate of each data transmission path.

[0121] Furthermore, the remote intelligent management system of the triage screen calculates the packet loss retransmission rate of each data transmission path according to the total number of data transmissions, the number of successful data transmissions, and the number of successful retransmissions after data transmission failures on each data transmission path. The specific calculation formula is as follows:

[0122]

[0123] Among them, P loss Represents the packet loss and retransmission rate of each data transmission path, N t Indicates the total number of data transmissions for each data transmission path, N s Indicates the number of successful data transmissions on each data transmission path, N r Indicates the number of successful retransmissions after data transmission failure on each data transmission path, p r It represents the retransmission success rate after data transmission failure of each data transmission path, and e represents the base of the exponential function.

[0124] Step 303: Calculate the path transmission delay gradient of each data transmission path based on the transmission delays of two adjacent monitoring points in each data transmission path.

[0125] Furthermore, the remote intelligent management system of the triage screen selects k monitoring points in each data transmission path, and the delay between two adjacent monitoring points is Δd i (i=1,2,...,k-1).

[0126] Furthermore, the remote intelligent management system of the triage screen calculates the path transmission delay gradient of each data transmission path according to the transmission delay between two adjacent monitoring points in each data transmission path. The specific calculation formula of the path transmission delay gradient is as follows:

[0127]

[0128] Among them, D rateRepresents the path transmission delay gradient of each data transmission path.

[0129] Step 304, taking the path link utilization, the path packet loss retransmission rate and the path transmission delay gradient as the path information, based on the path link utilization, the path packet loss retransmission rate and the path transmission delay gradient of each data transmission path, determine the path congestion coefficient of each data transmission path.

[0130] Furthermore, the remote intelligent management system of the triage screen takes the path link utilization, path packet loss retransmission rate and path transmission delay gradient as path information, and calculates the path congestion coefficient of each data transmission path according to the path link utilization, path packet loss retransmission rate and path transmission delay gradient of each data transmission path. The specific calculation formula is as follows:

[0131]

[0132] Wherein, C represents the path congestion coefficient of each data transmission path, and e represents the base of the exponential function.

[0133] The embodiment of the present invention accurately calculates the path congestion coefficient of each data transmission path through the total transmission capacity, effective transmission capacity, total data transmission times, successful data transmission times, successful retransmission times after data transmission failure, and transmission delay of two adjacent monitoring points of each data transmission path, so as to accurately select the optimal transmission path in the optimal edge computing power node according to the path congestion coefficient of each data transmission path, and finally transmit the triage data to be displayed to the target triage screen through the optimal transmission path, thereby realizing data transmission through the optimal transmission path in the optimal edge computing power node, reducing the delay in the process of transmitting the data to be displayed, so that the data to be displayed can be updated in the triage screen in time, and the patient can obtain the triage information on the triage screen in real time and accurately, thereby improving the triage efficiency.

[0134] Further, the description of step 401 to step 403 is as follows:

[0135] Step 401, obtaining a set of data transmission paths whose path congestion coefficient is less than or equal to a preset congestion coefficient;

[0136] Step 402, if the number of data transmission paths in the data transmission path set is less than a preset number, setting the data transmission path in the data transmission path set as the optimal transmission path;

[0137] Step 403: If the number of data transmission paths in the data transmission path set is greater than or equal to a preset number, obtain the effective time entropy and total time entropy of each target transmission path in the data transmission path set; determine the optimal transmission path based on the effective time entropy and total time entropy of each target transmission path.

[0138] Specifically, the triage screen remote intelligent management system obtains a set of data transmission paths whose path congestion coefficients are less than or equal to a preset congestion coefficient, wherein the preset congestion coefficient is set according to actual conditions.

[0139] Furthermore, the remote intelligent management system of the triage screen determines the number of data transmission paths in the data transmission path set. If the number of data transmission paths in the data transmission path set is less than the preset number, the remote intelligent management system of the triage screen directly sets the data transmission path in the data transmission path set as the optimal transmission path.

[0140] The preset number in the embodiment of the present invention is 2. Therefore, it can be understood that if the number of data transmission paths in the data transmission path set is 1, the data transmission path in the data transmission path set is directly set as the optimal transmission path.

[0141] If the number of data transmission paths in the data transmission path set is greater than or equal to the preset number, that is, the number of data transmission paths in the data transmission path set is 2 or more, the triage screen remote intelligent management system needs to obtain the effective time entropy and total time entropy of each target transmission path in the data transmission path set, where the time entropy is used to measure the uncertainty or confusion of the transmission path in terms of time efficiency.

[0142] In one embodiment, there are m transmission paths. For the jth transmission path, the calculation of its time-effective entropy is related to the transmission time characteristics on the path. Therefore, the specific process of obtaining the effective time-effective entropy and the total time-effective entropy of each target transmission path is as follows:

[0143] For the jth transmission path, the transmission duration ranges from Therefore, the total time entropy of the jth target transmission path can be expressed as:

[0144]

[0145] in, represents the total time-effective entropy of the jth target transmission path, Indicates the transmission duration range of the j-th target transmission path.

[0146] Furthermore, the transmission duration of the jth transmission path is discretized into n different values: n different values The corresponding occurrence frequencies are Therefore, the effective time entropy of the jth target transmission path can be expressed as:

[0147]

[0148] in, represents the effective time entropy of the jth target transmission path; Indicates discretizing the transmission duration of the jth transmission path into n different values The corresponding frequencies of occurrence.

[0149] Furthermore, the remote intelligent management system of the triage screen determines the optimal transmission path according to the effective time entropy and total time entropy of each target transmission path. Specifically, the time entropy ratio of each target transmission path is determined according to the effective time entropy and total time entropy of each target transmission path. The specific formula is:

[0150]

[0151] Among them, R j It represents the time-effective entropy ratio of the j-th target transmission path.

[0152] Furthermore, the remote intelligent management system of the triage screen compares the numerical values ​​of all the time-efficiency entropy ratios to obtain a comparison result. Among them, the smaller the time-efficiency entropy ratio, the smaller the uncertainty or the smaller the degree of confusion of the transmission path in terms of time efficiency. Therefore, the remote intelligent management system of the triage screen determines the target transmission path corresponding to the smallest time-efficiency entropy ratio in the comparison result as the optimal transmission path.

[0153] In one embodiment, the data transmission path set includes three target transmission paths, namely target transmission path 1, target transmission path 2 and target transmission path 3.

[0154] For target transfer path 1: The discretized transmission duration is (frequency ), (frequency ). Therefore, the effective time entropy of the target transmission path 1 is The total time-effective entropy of target transmission path 1 is: Therefore, the time-effective entropy ratio of the target transmission path 1 is: R 1 =0.0929 / log(10)=0.0929.

[0155] For target transfer path 2: The discretized transmission duration is (frequency ), (frequency ). Therefore, the effective time entropy of the target transmission path 2 is The total time-dependent entropy of target transmission path 2 is: Therefore, the time-effective entropy ratio of the target transmission path 2 is: R 2 =0.0906 / log(10)=0.0906.

[0156] For target transfer path 3: The discretized transmission duration is (frequency ), (frequency ). Therefore, the effective time entropy of target transmission path 3 is The total time-dependent entropy of target transmission path 3 is: Therefore, the time-effective entropy ratio of the target transmission path 3 is: R 3 =0.0988 / log(10)=0.0988.

[0157] Due to R 3 >R 1 >R 2 , therefore, target transmission path 2 is determined as the optimal transmission path.

[0158] The embodiment of the present invention accurately selects the optimal transmission path in the optimal edge computing power node according to the effective time entropy and the total time entropy of each target transmission path, and finally transmits the triage data to be displayed to the target triage screen through the optimal transmission path, thereby realizing data transmission through the optimal transmission path in the optimal edge computing power node, reducing the delay in the transmission of the data to be displayed, and updating the data to be displayed in the triage screen in a timely manner. The patient can obtain the triage information on the triage screen in real time and accurately, thereby improving the triage efficiency.

[0159] See also Figure 3 , Figure 3 FIG. 1 is an embodiment diagram of an electronic device provided by an embodiment of the present invention. Figure 3 As shown, an embodiment of the present invention provides an electronic device 300, including a memory 310, a processor 320, and a computer program 311 stored in the memory 310 and executable on the processor 320. When the processor 320 executes the computer program 311, the following steps are implemented:

[0160] Obtain the triage data to be displayed on the target triage screen and the data packet size of the triage data to be displayed;

[0161] Determine the optimal edge computing node based on the packet size;

[0162] Determine the path congestion coefficient of each data transmission path according to the path information of each data transmission path in the optimal edge computing power node;

[0163] According to the path congestion coefficient of each data transmission path, the optimal transmission path in the optimal edge computing power node is determined;

[0164] The triage data to be displayed is transmitted to the target triage screen based on the optimal transmission path, so that the target triage screen displays the triage data to be displayed.

[0165] See also Figure 4 , Figure 4 Detailed description of an embodiment of a computer-readable storage medium provided by an embodiment of the present invention. Figure 4 As shown, this embodiment provides a computer-readable storage medium 400, on which a computer program 311 is stored. When the computer program 311 is executed by a processor, the following steps are implemented:

[0166] Obtain the triage data to be displayed on the target triage screen and the data packet size of the triage data to be displayed;

[0167] Determine the optimal edge computing node based on the packet size;

[0168] Determine the path congestion coefficient of each data transmission path according to the path information of each data transmission path in the optimal edge computing power node;

[0169] According to the path congestion coefficient of each data transmission path, the optimal transmission path in the optimal edge computing power node is determined;

[0170] The triage data to be displayed is transmitted to the target triage screen based on the optimal transmission path, so that the target triage screen displays the triage data to be displayed.

[0171] On the other hand, the present invention further provides a computer program product, which includes a computer program. The computer program can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the remote intelligent management method of the triage screen provided by the above methods, and the method includes:

[0172] Obtain the triage data to be displayed on the target triage screen and the data packet size of the triage data to be displayed;

[0173] Determine the optimal edge computing node based on the packet size;

[0174] Determine the path congestion coefficient of each data transmission path according to the path information of each data transmission path in the optimal edge computing power node;

[0175] According to the path congestion coefficient of each data transmission path, the optimal transmission path in the optimal edge computing power node is determined;

[0176] The triage data to be displayed is transmitted to the target triage screen based on the optimal transmission path, so that the target triage screen displays the triage data to be displayed.

[0177] The system embodiment described above is merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art may understand and implement it without creative work.

[0178] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0179] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A remote intelligent management system for triage screens, characterized in that: It includes a remote intelligent management center for a triage screen, a data acquisition module, a computing power node determination module, a congestion coefficient determination module, a transmission path determination module, and a data transmission module; the remote intelligent management center for a triage screen is respectively connected to the data acquisition module, the computing power node determination module, the congestion coefficient determination module, the transmission path determination module, and the data transmission module to store and manage the data of each module; A data acquisition module, used for acquiring the to-be-displayed triage data of the target triage screen and the data packet size of the to-be-displayed triage data; A computing power node determination module, used to determine the optimal edge computing power node based on the data packet size; A congestion coefficient determination module, used to determine the path congestion coefficient of each data transmission path according to the path information of each data transmission path in the optimal edge computing power node; A transmission path determination module, used to determine the optimal transmission path in the optimal edge computing power node according to the path congestion coefficient of each data transmission path; A data transmission module is used to transmit the triage data to be displayed to the target triage screen based on the optimal transmission path, so that the target triage screen displays the triage data to be displayed.

2. A remote intelligent management method for triage screens, applied to the remote intelligent management system for triage screens as claimed in claim 1, characterized in that: The remote intelligent management method of the triage screen includes: Acquire the to-be-displayed triage data of the target triage screen and the data packet size of the to-be-displayed triage data; Determining an optimal edge computing node based on the data packet size; Determine a path congestion coefficient of each data transmission path according to the path information of each data transmission path in the optimal edge computing power node; Determine the optimal transmission path in the optimal edge computing power node according to the path congestion coefficient of each data transmission path; The to-be-displayed triage data is transmitted to the target triage screen based on the optimal transmission path, so that the target triage screen displays the to-be-displayed triage data.

3. The remote intelligent management method of the triage screen according to claim 2 is characterized in that: Determining the path congestion coefficient of each data transmission path according to the path information of each data transmission path in the optimal edge computing power node includes: Calculate the path link utilization of each data transmission path based on the total transmission capacity and the effective transmission capacity of each data transmission path; Based on the total number of data transmissions, the number of successful data transmissions, and the number of successful retransmissions after data transmission failures on each data transmission path, the path packet loss retransmission rate of each data transmission path is calculated; Based on the transmission delays of two adjacent monitoring points in each data transmission path, a path transmission delay gradient of each data transmission path is calculated; a plurality of monitoring points are set in each data transmission path; The path link utilization, the path packet loss retransmission rate and the path transmission delay gradient are used as the path information, and based on the path link utilization, the path packet loss retransmission rate and the path transmission delay gradient of each data transmission path, the path congestion coefficient of each data transmission path is determined.

4. The remote intelligent management method of the triage screen according to claim 3 is characterized in that: The calculation formula of the path congestion coefficient of each data transmission path is as follows: Where C represents the path congestion coefficient of each data transmission path, P loss represents the packet loss and retransmission rate of each data transmission path, D rate represents the path transmission delay gradient of each data transmission path, B rate represents the path link utilization of each data transmission path, and e represents the base of the exponential function.

5. The remote intelligent management method of the triage screen according to claim 2 is characterized in that: The determining, according to the path congestion coefficient of each data transmission path in the optimal edge computing power node, the optimal transmission path in the optimal edge computing power node comprises: Acquire a set of data transmission paths whose path congestion coefficient is less than or equal to a preset congestion coefficient; If the number of data transmission paths in the data transmission path set is less than a preset number, setting the data transmission path in the data transmission path set as the optimal transmission path; If the number of data transmission paths in the data transmission path set is greater than or equal to the preset number, the effective time entropy and the total time entropy of each target transmission path in the data transmission path set are obtained; and the optimal transmission path is determined based on the effective time entropy and the total time entropy of each target transmission path.

6. The remote intelligent management method of the triage screen according to claim 5 is characterized in that: The determining the optimal transmission path according to the effective time entropy and the total time entropy of each target transmission path includes: Based on the effective time entropy and the total time entropy of each target transmission path, the time entropy ratio of each target transmission path is determined; Determine the target transmission path corresponding to the minimum time-effective entropy ratio as the optimal transmission path; Accordingly, the calculation formula of the time-effective entropy ratio of each target transmission path is as follows: Among them, R j represents the time-effective entropy ratio of the jth target transmission path, represents the total time-effective entropy of the jth target transmission path, represents the effective time entropy of the jth target transmission path, represents the transmission duration value range of the jth target transmission path; Indicates discretizing the transmission duration of the jth transmission path into n different values The corresponding frequencies of occurrence.

7. The remote intelligent management method of the triage screen according to any one of claims 2 to 6, characterized in that: The determining the optimal edge computing node based on the data packet size includes: Determine the final available bandwidth of each edge computing node based on the currently used bandwidth of each edge computing node, the total node bandwidth, and the bandwidth fluctuation coefficient; Determining a target edge computing node based on the data packet size and the final available bandwidth of each edge computing node; The optimal edge computing node is determined based on the current processing data volume, maximum processing capacity, current task queue length and average task processing speed of each target edge computing node.

8. The remote intelligent management method of the triage screen according to claim 7 is characterized in that: The determining of the optimal edge computing node based on the current processing data volume, maximum processing capacity, current task queue length and average task processing speed of each target edge computing node includes: Determine the node processing capacity occupancy rate of each target edge computing node based on the current processing data volume and maximum processing capacity of each target edge computing node; Determine the task queue length coefficient of each target edge computing node based on the current task queue length and average task processing speed of each target edge computing node; Determine the node load of each target edge computing node based on the node processing capacity occupancy rate and task queue length coefficient of each target edge computing node; The optimal edge computing node is determined based on the node load of each target edge computing node.

9. An electronic device, comprising: A memory and a processor, characterized in that a computer software program is stored in the memory, and when the processor reads and executes the computer software program, the remote intelligent management method of the triage screen as described in any one of claims 2 to 8 is implemented.

10. A non-transitory computer-readable storage medium, characterized in that: The storage medium stores a computer software program, which, when executed by a processor, implements the remote intelligent management method for the triage screen as described in any one of claims 2 to 8.

Images