1. The arrangement analysis method of the medical omics big data analysis system is characterized by comprising the following steps:

determining one hospital in the target area as a core hospital and other hospitals as hospital conjunctions;

arranging a 5G edge computing system at a core hospital, and connecting the core hospital with a medical body union hospital in a multi-network fusion mode of 5G, Wi-Fi and multi-mode Internet of things;

acquiring medical omics data information of the hospital of the conjuncted medical alliance, and calculating and extracting optimized data information of a target single disease species in the medical omics data information through a 5G edge computing system;

and taking the data information of the optimized target single disease species as reference data information of related medical personnel.

2. The method for placement analysis of a healthcare omics big data analysis system as defined in claim 1, wherein in particular said multi-network fusion is deployed in particular by the following procedure,

determining the installation positions of 5G, Wi-Fi and the Internet of things network equipment;

according to the on-site survey of the hospital and the early network planning, the point location site selection of Wi-FiAP deployment is completed, and the perfect Wi-Fi network signal coverage of the hospital is ensured;

the method comprises the steps that point location addressing of the AP with multiple networks is carried out aiming at an area needing to be covered by deployment of the IOT signals, and the IOT signals can fully and effectively cover the area where all medical IOT applications are located;

and at the position where the station addresses of the Wi-FiAP and the multi-network-in-one AP are superposed, the PoE network cable is directly butted with the multi-network-in-one AP from the floor switch, and then another cable is pulled out through a PoE out network port of the multi-network-in-one AP to be butted with the Wi-FiAP.

3. The method for placement analysis of a healthcare omics big data analysis system as defined in claim 2, further comprising,

at a network access side, the multi-network-in-one AP transmits the Internet of things and Wi-Fi signals back to a 5G link through a 5G air interface or a PoE network cable, and makes full use of the 5G back link and a network deployment facility;

in the mode of returning through a 5G air interface, a communication module needs to be inserted into the equipment of the multi-network-in-one AP;

in the method of returning through the PoE network cable, more than one network cable of over five types needs to be connected in the PoE RJ45 network port of the multi-network-in-one AP and the PoE RJ45 network port of the 5G indoor subsystem equipment pRRU/QCell to connect the equipment.

4. The arrangement analysis method of the omics big data analysis system according to claim 3, wherein the communication module is any one of a 5G module, a 4G module, or an LTE Cat 1 wireless communication module, and the requirement of the throughput rate of the front-end Internet of things data needs to be met, and meanwhile, the principle of uplink and downlink data transmission through a 5G air interface can be effectively utilized.

5. The method for layout analysis of a omics big data analysis system according to claim 1, wherein said calculating extracts the data information maxF of the optimized target individual disease species in said omics data information, in particular by the following formula,

wherein K represents the number of hospital conjunctions randomly distributed in the coverage area of the frameless network architecture, including K1 hospital conjunctions with guaranteed bit rate and K2 hospital conjunctions without guaranteed bit rate, λ represents the priority of guaranteed bit rate service, μ represents the priority of non-guaranteed bit rate service,and U_non-real(r_K) Respectively representing the utility function of a bit rate service and the utility function of a no bit rate service.

6. The method for placement analysis of a healthcare omics big data analysis system as defined in claim 1, further comprising,

after the medical omics big data analysis system is arranged, unified network optimization is carried out on the wireless network of the 5G, Wi-Fi and the multimode Internet of things through a network management center of a platform layer, and good network coverage effect of various service demand areas can be ensured; based on different intelligent terminals, the method carries out end-to-end joint debugging on an access layer, a network layer, a platform layer and an application layer, and ensures normal online and good operation of the system.

7. A system for analyzing big data in a medical group, comprising:

a plurality of conjunctive union hospitals of hospitals within the target area, one of which is defined as a core hospital;

a 5G edge computing system disposed at the core hospital;

the core hospital is in communication connection with other conjunctive hospitals and unions in a multi-network fusion mode of 5G, Wi-Fi and multi-mode Internet of things;

and the management service platform is used for managing and controlling various wireless communication networks and the hospital conjunctive in medicine in the target area.

8. The omics big data analysis system of claim 7, wherein said management service platform comprises,

the knowledge base comprises a plurality of single-disease-species knowledge bases, and each single-disease-species knowledge base is used for storing data information of optimized single disease species extracted from the hospital of the conjunctive union;

and the processing module is used for controlling the matching module to access the directory of the knowledge base according to the information processed by the adaptation module and the translation module so as to obtain optimized data information of a single disease category.

Background

The medical omics big data is a conventional means which becomes an advanced hospital for researching single disease, how to popularize the data in the medical conjunctive body needs to firstly realize interconnection and intercommunication on communication, and the limited bandwidth is used for transmitting the knowledge which is helpful for realizing diagnosis of the single disease.

The traditional centers for big data processing in medical science and omics include NCBI in the united states, EBI in europe, DDBJ in japan, and the like, which are not only the most long bioinformatics research institutes worldwide but also the largest data retention amount. The storage service mainly providing the original data and the metadata cannot effectively realize the publishing, sharing, analyzing and annotating and integrating services of the massive biological omics data.

So far, most of medical omics big data adopt a mode of directly copying by a hard disk, and the old mode greatly limits the related research and application of the medical omics big data.

Traditional doctors have achieved consistent management, but are often warfare for individual disease categories. This problem is problematic from a communication perspective because data inside and outside the hospital has no communication mechanism to achieve interworking.

Disclosure of Invention

The invention aims to solve at least one of the defects of the prior art and provides a medical omics big data analysis system and a layout analysis method thereof.

In order to achieve the purpose, the invention adopts the following technical scheme:

specifically, the arrangement analysis method of the medical omics big data analysis system comprises the following steps:

determining one hospital in the target area as a core hospital and other hospitals as hospital conjunctions;

arranging a 5G edge computing system at a core hospital, and connecting the core hospital with a medical body union hospital in a multi-network fusion mode of 5G, Wi-Fi and multi-mode Internet of things;

acquiring medical omics data information of the hospital of the conjuncted medical alliance, and calculating and extracting optimized data information of a target single disease species in the medical omics data information through a 5G edge computing system;

and taking the data information of the optimized target single disease species as reference data information of related medical personnel.

Further, specifically, the multi-network fusion mode is deployed through the following procedures,

determining the installation positions of 5G, Wi-Fi and the Internet of things network equipment;

according to the on-site survey of the hospital and the early network planning, the point location site selection of Wi-FiAP deployment is completed, and the perfect Wi-Fi network signal coverage of the hospital is ensured;

the method comprises the steps that point location addressing of the AP with multiple networks is carried out aiming at an area needing to be covered by deployment of the IOT signals, and the IOT signals can fully and effectively cover the area where all medical IOT applications are located;

and at the position where the station addresses of the Wi-FiAP and the multi-network-in-one AP are superposed, the PoE network cable is directly butted with the multi-network-in-one AP from the floor switch, and then another cable is pulled out through a PoE out network port of the multi-network-in-one AP to be butted with the Wi-FiAP.

Further, the method may further comprise,

at a network access side, the multi-network-in-one AP transmits the Internet of things and Wi-Fi signals back to a 5G link through a 5G air interface or a PoE network cable, and makes full use of the 5G back link and a network deployment facility;

in the mode of returning through a 5G air interface, a communication module needs to be inserted into the equipment of the multi-network-in-one AP;

in the method of returning through the PoE network cable, more than one network cable of over five types needs to be connected in the PoE RJ45 network port of the multi-network-in-one AP and the PoE RJ45 network port of the 5G indoor subsystem equipment pRRU/QCell to connect the equipment.

Further, the communication module is specifically any one of a 5G module, a 4G module or an LTE Cat 1 wireless communication module, and needs to meet the requirement of the data throughput rate of the front-end internet of things, and meanwhile, the principle that a 5G air interface is used for uplink and downlink transmission of data can be effectively utilized.

Further, the calculation extracts the optimized data information maxF of the target single disease species in the medical omics data information, and the calculation is specifically carried out through the following formula,

wherein K represents the number of hospital conjunctions randomly distributed in the coverage area of the frameless network architecture, including K1 hospital conjunctions with guaranteed bit rate and K2 hospital conjunctions without guaranteed bit rate, λ represents the priority of guaranteed bit rate service, μ represents the priority of non-guaranteed bit rate service,and U_non-real(r_K) Respectively representing the utility function of a bit rate service and the utility function of a no bit rate service.

Further, the method may further comprise,

after the medical omics big data analysis system is arranged, unified network optimization is carried out on the wireless network of the 5G, Wi-Fi and the multimode Internet of things through a network management center of a platform layer, and good network coverage effect of various service demand areas can be ensured; based on different intelligent terminals, the method carries out end-to-end joint debugging on an access layer, a network layer, a platform layer and an application layer, and ensures normal online and good operation of the system.

The invention also provides a medical omics big data analysis system, which comprises the following components:

a plurality of conjunctive union hospitals of hospitals within the target area, one of which is defined as a core hospital;

a 5G edge computing system disposed at the core hospital;

the core hospital is in communication connection with other conjunctive hospitals and unions in a multi-network fusion mode of 5G, Wi-Fi and multi-mode Internet of things;

and the management service platform is used for managing and controlling various wireless communication networks and the hospital conjunctive in medicine in the target area.

Further, specifically, the management service platform includes,

the knowledge base comprises a plurality of single-disease-species knowledge bases, and each single-disease-species knowledge base is used for storing data information of optimized single disease species extracted from the hospital of the conjunctive union;

and the processing module is used for controlling the matching module to access the directory of the knowledge base according to the information processed by the adaptation module and the translation module so as to obtain optimized data information of a single disease category.

The invention has the beneficial effects that:

the invention provides a medical omics big data analysis system constructed in a multi-network fusion mode of 5G, Wi-Fi and multi-mode Internet of things in a mode based on 5G operational capability, the invention can timely transmit knowledge which is helpful for diagnosis of a single disease to doctors, changes the traditional mode of directly copying a data hard disk, and can get rid of the defect of extremely high time delay of analysis results caused by copying mass data by the traditional hard disk.

Drawings

The foregoing and other features of the present disclosure will become more apparent from the detailed description of the embodiments shown in conjunction with the drawings in which like reference characters designate the same or similar elements throughout the several views, and it is apparent that the drawings in the following description are merely some examples of the present disclosure and that other drawings may be derived therefrom by those skilled in the art without the benefit of any inventive faculty, and in which:

FIG. 1 is a block flow diagram of a layout analysis method of a health omics big data analysis system of the present invention;

FIG. 2 is a block diagram of the architecture of the omics big data analysis system of the present invention;

fig. 3 is a block diagram showing the structure of a management service platform of the omics big data analysis system of the present invention.

Detailed Description

The conception, the specific structure and the technical effects of the present invention will be clearly and completely described in conjunction with the embodiments and the accompanying drawings to fully understand the objects, the schemes and the effects of the present invention. It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The same reference numbers will be used throughout the drawings to refer to the same or like parts.

Referring to fig. 1, example 1, the present invention provides a method for analyzing the layout of a medical omics big data analysis system, comprising the following steps:

step 110, determining one hospital in the target area as a core hospital and other hospitals as hospital conjunctions;

step 120, arranging a 5G edge computing system at a core hospital, and connecting the core hospital with a medical body union hospital in a multi-network fusion mode of 5G, Wi-Fi and multi-mode Internet of things;

step 130, obtaining medical omics data information of the hospital of the conjuncted medical alliance, and calculating and extracting optimized data information of a target single disease species in the medical omics data information through a 5G edge computing system;

and step 140, taking the data information of the optimized target single disease species as reference data information of related medical personnel.

As a preferred embodiment of the present invention, specifically, the multi-network convergence mode is deployed specifically through the following procedures, and determines the installation locations of 5G, Wi-Fi and the internet of things network device;

according to the on-site survey of the hospital and the early network planning, the point location site selection of Wi-FiAP deployment is completed, and the perfect Wi-Fi network signal coverage of the hospital is ensured;

the method comprises the steps that point location addressing of the AP with multiple networks is carried out aiming at an area needing to be covered by deployment of the IOT signals, and the IOT signals can fully and effectively cover the area where all medical IOT applications are located;

and at the position where the station addresses of the Wi-FiAP and the multi-network-in-one AP are superposed, the PoE network cable is directly butted with the multi-network-in-one AP from the floor switch, and then another cable is pulled out through a PoE out network port of the multi-network-in-one AP to be butted with the Wi-FiAP.

In the preferred embodiment, how to implement the scheme deployment of multi-network fusion is proposed, and more specifically,

the scheme has the following deployment concept:

the network requirements of all intelligent medical applications cannot be met by a single wireless communication system, and the best effect can be achieved only by constructing a set of multi-network fusion network of '5G + Wi-Fi + multimode Internet of things' and flexibly calling the network capability according to the requirements of a service scene. The construction and deployment of the multi-network fusion network are completed by one-time planning and construction at the front end, and a set of management service platform capable of managing and controlling various wireless communication networks and various intelligent medical application systems is deployed at the rear end, so that the intelligent medical application is completely built on the ground end to end.

In-building deployment scheme and topology

The construction requirement facing complete '5G + Wi-Fi + multi-mode Internet of things' is deployed by following the following flow:

unified netpage gauge and addressing

The deployment modes of the 5G network, the Wi-Fi network and the Internet of things network are not the same as each other because the communication frequency bands, the coverage capabilities and the service demand positions of the networks are different. According to actual requirements of a hospital, for example, a 5G network may only need to be deployed in an operating room classroom, a remote ultrasonic room, or the first-stage Internet of things of the hospital only needs to cover a public area, and the like, the overall network coverage requirements of the hospital are fully investigated, and then the overall wireless network planning of the hospital can be completed, so that the installation positions (station sites) of network devices of the 5G network, the Wi-Fi network and the Internet of things are determined.

Site selection installation of equipment

Firstly, according to the on-site survey of the hospital and the early network planning, the point location addressing of the Wi-FiAP deployment is completed, and the perfect Wi-Fi network signal coverage of the hospital is ensured.

And secondly, performing point location and site selection of the AP (access point) with multiple networks for the area covered by the signal of the Internet of things to be deployed, and ensuring that the signal of the Internet of things (such as Bluetooth and RFID) can fully and effectively cover the area where all medical Internet of things are applied.

And thirdly, planning to perform fusion, butt joint and deployment at the position where the Wi-FiAP and the multi-network-in-one AP station address coincide. In the specific process of wire-pulling and net-laying, for the position where the Wi-FiAP and the multi-network-in-one AP are overlapped, a PoE network cable can be directly butted with the multi-network-in-one AP from a floor switch, and then another cable is pulled out through a PoE out network port of the multi-network-in-one AP to be butted with the Wi-FiAP. Therefore, common backhaul and common power supply of Wi-Fi and Internet of things signals can be realized at one station site by only one backhaul network cable.

For the deployment of the online 5G private medical network of a future hospital, according to a network gauge scheme and a station location position, 5G indoor distribution system equipment (pRRU/QCell) of an operator, multi-network-in-one AP/Bluetooth AoA Internet of things positioning base station/Wi-FiAP and other equipment can be installed on a ceiling or a wall.

For the equipment for returning data by means of the 5G room distribution system, a 5G photoelectric composite cable can be used for returning signals to BBU equipment in the north direction and then to a hospital core switch; for signal feedback of conventional multi-network-in-one AP/Bluetooth AoA (infrastructure access point) Internet of things positioning base stations/Wi-FiAP (wireless FiAP) and other equipment, the signals can be transmitted back to a floor switch through a PoE (Power over Ethernet) network cable and finally converged to a core switch in a hospital machine room.

The core switch transmits the signals back to the platform application layer through the digital communication network, is in butt joint with the AIoT management service platform and the wireless controller AC, and performs unified management on various networks, equipment, terminals, applications and data of the 5G, Wi-Fi, the Internet of things and the like.

Network optimization and debugging

Unified network optimization is carried out on the wireless network of the 5G, Wi-Fi and the multi-mode Internet of things through a network management center of a platform layer, and good network coverage effect of various service demand areas can be obtained. And then, based on different intelligent terminals, performing initial end-to-end joint debugging on an access layer, a network layer, a platform layer and an application layer, and ensuring normal online and good operation of the system.

Future 5G + multi-network-in-one AP fusion deployment scheme

In the future, 5G hospital network oriented expansion and compatibility are achieved, the multi-network-in-one AP equipment is installed and deployed in an area where the 5G room subsystem is deployed, the convergence and reusability of the 5G network can be effectively utilized, the deployment cost is reduced, and the value of the hospital 5G network is fully exerted.

Network access side convergence scheme

On the network access side, the multi-network-in-one AP can transmit the Internet of things and Wi-Fi signals back to the 5G link through the 5G air interface or the PoE network cable, and fully utilizes the 5G back link and the network arrangement facility.

In the mode of backhaul through a 5G air interface, a 5G communication module needs to be plugged in the multi-network-in-one AP device. However, based on cost consideration, a 4G or LTE Cat 1 wireless communication module can be plugged, the requirement of the data throughput rate of the front-end internet of things can still be met, and meanwhile, a 5G air interface can be effectively utilized for uplink and downlink transmission of data.

In the method of returning through the PoE network cable, it is necessary to connect a network cable of more than fifteen types to the PoE RJ45 network port of the multi-network-in-one AP and the PoE RJ45 network port of the 5G indoor subsystem equipment (pRRU/QCell) for connection between the equipments. The mode can realize the 3-multiplexing advantages of station address multiplexing, power supply multiplexing and data link multiplexing, effectively reduces the construction cost, and improves the station address concentration and the aesthetic degree of equipment.

Edge platform side fusion scheme

In a central machine room of a hospital, MEC edge clouds are required to be deployed facing a 5G medical private network so as to bear the UPF capability of the hospital, vBBUs are deployed, and management of the 5G network, intelligent medical application and service data in the hospital is completed. For a Wi-Fi network, deployment and management of a wireless controller AC and an upper-layer service application are required. For medical internet of things, an AIoT platform, medical internet of things application and data deployment and management are needed.

In order to effectively carry out unified centralized management on various system modules and freely call and forward data, a set of unified edge cloud platform is arranged in a core computer room of a hospital and is used for fusing all networks, platforms, service applications, data management and operation and maintenance for bearing the whole hospital 5G, Wi-Fi and the Internet of things. The edge cloud platform truly realizes allocation according to needs and unified bearing of various networks and application data based on a virtualized cloud resource pool under an X86 architecture.

As a preferred embodiment of the present invention, the calculating extracts the data information maxF of the optimized target individual disease species in the omics data information, and specifically calculates by the following formula,

wherein K represents the number of hospital conjunctions randomly distributed in the coverage area of the frameless network architecture, including K1 hospital conjunctions with guaranteed bit rate and K2 hospital conjunctions without guaranteed bit rate, λ represents the priority of guaranteed bit rate service, μ represents the priority of non-guaranteed bit rate service,and U_non-real(r_K) Respectively representing the utility function of a bit rate service and the utility function of a no bit rate service.

In the preferred embodiment, by solving the problem of multidimensional resource allocation as described above, it is agreed to manage all available resources, resulting in a near-optimal solution for centralized resource allocation with a fast convergence rate.

One implementation scenario of the present invention is as follows:

the subsidiary ophthalmic hospital of the university at Zhongshan is a leading hospital in the south China, and researches on the application of medical omics big data have been carried out for a long time. The ophthalmic center has previously primarily used hard disks to copy data from the Guangzhou center, the national super computing center. The data is then retrieved to the hospital's computer for analysis. The ophthalmology center is used as a central node to deploy an analysis system and a storage medium of medical omics big data. Each park and each alliance hospital are interconnected with a central node through bare optical fibers. The ophthalmology center deploys two sets of supercomputers as calculation and storage nodes. The invention transforms the supercomputer into the edge computing node, uploads the clinical data to the edge computing node in the hospital, automatically allocates the resource of the resource pool through the genetic algorithm, and the ophthalmologic center has the capability of uploading the data of all alliance hospitals and sub-hospitals, quickly analyzing and returning the result for diagnosis and scientific research.

The invention also provides a medical omics big data analysis system, which comprises the following components:

a plurality of conjunctive union hospitals of hospitals within the target area, one of which is defined as a core hospital;

a 5G edge computing system disposed at the core hospital;

the core hospital is in communication connection with other conjunctive hospitals and unions in a multi-network fusion mode of 5G, Wi-Fi and multi-mode Internet of things;

and the management service platform is used for managing and controlling various wireless communication networks and the hospital conjunctive in medicine in the target area.

Referring to fig. 2, the hospital alliance hospital transmits the hospital self-production data to the front-end 5G core network through the 5G air interface by using the 5G large bandwidth characteristic through the base station. The 5G core network transmits the data to a 5G edge computing facility deployed at a federation central hospital. Each hospital of the conjunctive hospital is linked with the hospital of the union center through bare optical fiber.

Referring to fig. 3, specifically, as a preferred embodiment of the present invention, the management service platform includes,

the knowledge base comprises a plurality of single-disease-species knowledge bases, and each single-disease-species knowledge base is used for storing data information of optimized single disease species extracted from the hospital of the conjunctive union;

and the processing module is used for controlling the matching module to access the directory of the knowledge base according to the information processed by the adaptation module and the translation module so as to obtain optimized data information of a single disease category.

The modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical modules, may be located in one place, or may be distributed on a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution in this embodiment.

In addition, functional modules in the embodiments of the present invention may be integrated into one processing module, or each of the modules may exist alone physically, or two or more modules are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode.

The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium and can implement the steps of the above-described method embodiments when the computer program is executed by a processor. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium includes content that can be suitably increased or decreased according to the requirements of legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunication signals according to legislation and patent practice.

While the present invention has been described in considerable detail and with particular reference to a few illustrative embodiments thereof, it is not intended to be limited to any such details or embodiments or any particular embodiments, but it is to be construed as effectively covering the intended scope of the invention by providing a broad, potential interpretation of such claims in view of the prior art with reference to the appended claims. Furthermore, the foregoing describes the invention in terms of embodiments foreseen by the inventor for which an enabling description was available, notwithstanding that insubstantial modifications of the invention, not presently foreseen, may nonetheless represent equivalent modifications thereto.

The above description is only a preferred embodiment of the present invention, and the present invention is not limited to the above embodiment, and the present invention shall fall within the protection scope of the present invention as long as the technical effects of the present invention are achieved by the same means. The invention is capable of other modifications and variations in its technical solution and/or its implementation, within the scope of protection of the invention.