CN111430008A - Medical data processing method and medical data processing system based on cloud platform - Google Patents
Medical data processing method and medical data processing system based on cloud platform Download PDFInfo
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Abstract
The invention discloses a medical data processing method and a medical data processing system based on a cloud platform, wherein the method comprises the following steps: the service center server receives medical data information sent by a plurality of user terminals; analyzing the medical data information, and analyzing the type of the user terminal required to be interacted in the medical data instruction; writing the medical data information into a corresponding storage space in the service center server according to the type of the user terminal; carrying out protocol conversion on the medical data information stored in the storage space, and converting the medical data information into a medical data packet which can be analyzed by the corresponding user terminal; and sending the medical data packet to a user terminal corresponding to the address information based on the address information in the user terminal information. By implementing the method and the system provided by the invention, the corresponding storage space is matched for different user terminals, the protocol conversion process is realized, and the data interaction between different user terminals based on the service center server is ensured.
Description
Technical Field
The invention relates to the technical field of digital medical treatment, in particular to a medical data processing method and a medical data processing system based on a cloud platform.
Background
Digital medical treatment is a novel modern medical treatment mode which applies modern computer technology and information technology to the whole medical treatment process, and is the development direction and management target of public medical treatment. The appearance of digital medical equipment greatly enriches the content and capacity of medical information. From the visualization of one-dimensional information, important electrophysiological information such as Electrocardiogram (ECG) and electroencephalogram (EEG); two-dimensional information, such as medical image information of CT, MRI, color ultrasound, digital X-ray machine (DR), etc.; further, three-dimensional visualization makes it possible to obtain even four-dimensional information, such as a three-dimensional heart dynamically displayed in real time. The information greatly enriches the diagnosis technology of doctors, and makes the medicine enter a brand new visual information age.
Medical treatment digitization enables access to medical equipment to achieve digitization, and the digitized medical equipment, namely data acquisition, processing, storage, transmission and other processes, are based on computer technology, and medical equipment working under computer software gradually replaces conventional equipment to become the mainstream of clinical equipment. The digital medical device can store, process and transmit the acquired information.
The digital medical service realizes equipment networking after meeting the requirement of multi-equipment access, but the existing equipment networking causes data interaction confusion among various services, and causes the transmission of data which can not be realized in a self-adaptive way among terminals, namely how a server responds to different service data to realize interaction to the corresponding terminals, and causes the processing response confusion of a service center server, and the data interaction between the user terminals is disordered due to different data types compatible with the user terminals among the service center servers, so that the data interaction between the user terminals cannot be realized well by the processing terminal and the terminal equipment interacted with the processing terminal.
Disclosure of Invention
Aiming at the technical defects of the existing digital medical system, the invention provides a medical data processing method and a medical data processing system based on a cloud platform, which aim at matching corresponding storage spaces for different user terminals, realize a protocol conversion process and ensure that data interaction can be realized among different user terminals based on a service center server.
Therefore, the invention provides a medical data processing method based on a cloud platform, wherein the cloud platform comprises a cloud server, a service center server and a plurality of user terminals, and the plurality of user terminals comprise: the system comprises a plurality of CT machines, a plurality of X-ray machines, a plurality of heart machines and a plurality of diagnosis computer clients, wherein a central server is used for realizing data interaction with a plurality of user terminals, and the central server and a service central server carry out data interaction, and the method comprises the following steps:
the service center server receives medical data information sent by a plurality of user terminals, and the medical data instruction comprises user terminal information required to be interacted;
analyzing the medical data information, and analyzing the type of the user terminal required to be interacted in the medical data instruction;
writing the medical data information into a corresponding storage space in the service center server according to the type of the user terminal, wherein the storage space is set according to the type of the user terminal;
carrying out protocol conversion on the medical data information stored in the storage space, and converting the medical data information into a medical data packet which can be analyzed by the corresponding user terminal;
and sending the medical data packet to a user terminal corresponding to the address information based on the address information in the user terminal information.
The writing the medical data information into the corresponding storage space in the service center server according to the type of the user terminal comprises:
obtaining a storage relation table corresponding to the user terminal type from a corresponding analysis table under a relation database based on the user terminal type, wherein the storage relation table records a storage space address corresponding to the user terminal type;
and writing the medical data information into the corresponding storage space based on the storage space address corresponding to the user terminal type.
The writing of the medical data information into the corresponding storage space based on the storage space address corresponding to the user terminal type further includes:
identifying whether a data interface of the corresponding storage space has a user data request;
when a user data request exists in the data interface, identifying the data operation behavior to be performed in the corresponding storage space based on the relational database;
acquiring a state value of the corresponding storage space, wherein the state value is mapped with the relevance between the corresponding storage space and a cloud storage space on a cloud server;
and controlling the data content synchronization process of the corresponding storage space and the cloud storage space based on the data operation behavior and the state value of the storage space.
The data content synchronization process for controlling the corresponding storage space and the cloud storage space based on the data operation behavior and the state value of the storage space comprises the following steps:
the task mapping strategy based on the discrete binary particle swarm optimization algorithm is used for matching a proper synchronization path between the service center server and the cloud server, and a data content synchronization process is carried out based on the synchronization path.
The plurality of the heart motors communicate with the service center server based on a power carrier communication P L C protocol, the center server receives broadband carrier data from the plurality of the heart motors based on a broadband power line interface circuit, and the power line interface circuit is further used for demodulating medical data information in the broadband carrier data.
The service center server communicates with the plurality of diagnosis computer clients based on a serial communication protocol, a CAN controller is arranged between the service center server and the plurality of diagnosis computer clients, and the CAN controller comprises a CAN bus interface, a CAN bus transceiver circuit, a CPU processor and a CAN bus switching circuit; the CPU processor is connected with the CAN bus transceiver circuit and is used for receiving and sending serial port data; the CPU processor is connected with the CAN bus switching circuit and is used for outputting different control signals to control the conduction and the closure of the CAN bus switching circuit; the CAN bus switching circuit is connected between the CAN bus interface and the CAN bus transceiver circuit and is used for controlling the signal output between the CAN bus and the central server.
Correspondingly, an embodiment of the present invention further provides a medical data processing system, including: cloud server, business center server and a plurality of user terminal, a plurality of user terminal include: the system comprises a plurality of CT machines, a plurality of X-ray machines, a plurality of heart motors and a plurality of diagnosis computer clients, wherein a central server is used for realizing data interaction with a plurality of user terminals, and the central server and a service central server perform data interaction, wherein:
the service center server receives medical data information sent by a plurality of user terminals, and the medical data instruction comprises user terminal information required to be interacted; analyzing the medical data information, and analyzing the type of the user terminal required to be interacted in the medical data instruction; writing the medical data information into a corresponding storage space in the service center server according to the type of the user terminal, wherein the storage space is set according to the type of the user terminal; carrying out protocol conversion on the medical data information stored in the storage space, and converting the medical data information into a medical data packet which can be analyzed by the corresponding user terminal; and sending the medical data packet to a user terminal corresponding to the address information based on the address information in the user terminal information.
The plurality of the heart motors communicate with the service center server based on a power carrier communication P L C protocol, the center server receives broadband carrier data from the plurality of the heart motors based on a broadband power line interface circuit, and the power line interface circuit is further used for demodulating medical data information in the broadband carrier data.
The service center server communicates with the plurality of diagnosis computer clients based on a serial communication protocol, a CAN controller is arranged between the service center server and the plurality of diagnosis computer clients, and the CAN controller comprises a CAN bus interface, a CAN bus transceiver circuit, a CPU processor and a CAN bus switching circuit; the CPU processor is connected with the CAN bus transceiver circuit and is used for receiving and sending serial port data; the CPU processor is connected with the CAN bus switching circuit and is used for outputting different control signals to control the conduction and the closure of the CAN bus switching circuit; the CAN bus switching circuit is connected between the CAN bus interface and the CAN bus transceiver circuit and is used for controlling the signal output between the CAN bus and the central server.
The service center server obtains a storage relation table corresponding to the user terminal type from a corresponding analysis table under a relation database based on the user terminal type, wherein the storage relation table records a storage space address corresponding to the user terminal type; and writing the medical data information into the corresponding storage space based on the storage space address corresponding to the user terminal type.
Compared with the prior art, different user terminals are connected through the service center server, medical data information sent by different user terminals is obtained, the type of the corresponding user terminal on the medical data information is analyzed, the medical data information is written in according to the storage space matched with the type of the user terminal, then protocol conversion is carried out by referring to the types of the different user terminals, and finally a data packet is ensured to be analyzed by the user terminals, so that data interaction among the different user terminals is ensured, the user terminals under different protocols are supported to realize interconnection and intercommunication, and barrier-free communication among digital medical equipment is realized.
Through the cloud platform architecture, the medical data acquired by the service center server can be synchronized with the cloud storage space in real time, cloud computing of the medical big data can be guaranteed, synchronous path computing is performed between the service center server and the cloud server by adopting a task mapping strategy of a discrete binary particle swarm optimization algorithm, the medical data acquired by the service center server cannot be delayed when being synchronized to the cloud platform, the medical data acquired by the service server can be synchronized to the corresponding storage space of the cloud platform in real time, the real-time performance is good, and the cloud platform can comprehensively analyze and compute the whole digital medical data to provide good reference.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic diagram of a medical data processing system according to an embodiment of the present invention;
fig. 2 shows a flowchart of a medical data processing method based on a cloud platform in an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Specifically, fig. 1 shows a schematic structural diagram of a medical data processing system in an embodiment of the present invention, where the medical data processing system is implemented based on a cloud platform architecture, and the cloud platform includes: cloud server, business center server and a plurality of user terminal, a plurality of user terminal include: the system comprises a plurality of CT machines, a plurality of X-ray machines, a plurality of heart motors and a plurality of diagnosis computer clients, wherein a central server is used for realizing data interaction with a plurality of user terminals, and the central server and a service central server carry out data interaction.
In specific implementation, the service center server receives medical data information sent by a plurality of user terminals, and the medical data instruction comprises user terminal information required to be interacted; analyzing the medical data information, and analyzing the type of the user terminal required to be interacted in the medical data instruction; writing the medical data information into a corresponding storage space in the service center server according to the type of the user terminal, wherein the storage space is set according to the type of the user terminal; carrying out protocol conversion on the medical data information stored in the storage space, and converting the medical data information into a medical data packet which can be analyzed by the corresponding user terminal; and sending the medical data packet to a user terminal corresponding to the address information based on the address information in the user terminal information.
Fig. 1 shows a plurality of cloud servers in a cloud computing layer, where the cloud servers may store medical data information synchronized by a service center server, and may also perform cloud computing on the medical data information to obtain relevant data in an area for early warning or relevant analysis and comparison.
Fig. 1 shows a plurality of service center servers, which are equivalent to serving a medical point, and the service center servers are communicated with a plurality of CT machines, a plurality of X-ray machines, a plurality of cardiac machines, and a plurality of diagnostic computer clients, which are all user terminals, and the data formats or communication protocols supported by the user terminals are different, and corresponding conversion needs to be implemented based on the service center servers. Different user terminals are connected through a service center server, medical data information sent by different user terminals is acquired, the type of the corresponding user terminal on the medical data information is analyzed, the medical data information is written in according to a storage space matched with the type of the user terminal, then protocol conversion is carried out by referring to the type of different user terminals, and finally a data packet is ensured to be analyzed by the user terminal, so that data interaction among the different user terminals is ensured, the user terminals under different protocols are supported to realize interconnection and intercommunication, and barrier-free communication among digital medical equipment is realized.
Each service center server obtains a storage relation table corresponding to the user terminal type from a corresponding analysis table under a relation database based on the user terminal type, wherein the storage relation table records a storage space address corresponding to the user terminal type; and writing the medical data information into the corresponding storage space based on the storage space address corresponding to the user terminal type. Based on the matching relation of the storage space addresses corresponding to the user terminal types, the performance of storage scheduling of the service center server can be optimized, and the efficient in-out matching processing process is achieved.
Each service center server can identify whether a data interface of the corresponding storage space has a user data request or not in the process of writing the medical data information into the corresponding storage space based on the storage space address corresponding to the user terminal type; when a user data request exists in the data interface, identifying the data operation behavior to be performed in the corresponding storage space based on the relational database; acquiring a state value of the corresponding storage space, wherein the state value is mapped with the relevance between the corresponding storage space and a cloud storage space on a cloud server; and controlling the data content synchronization process of the corresponding storage space and the cloud storage space based on the data operation behavior and the state value of the storage space. The step ensures that concurrent operation between data on a plurality of service center servers and the cloud platform can be realized in the process that the service center servers synchronize the cloud platform, the data consistency is realized under the condition of ensuring data content synchronization, and the data consistency can be ensured even under the condition that abnormal downtime exists between the service center servers and the cloud platform, so that the stability of data synchronization from the service center servers to the cloud platform is ensured, the operation and maintenance feasibility of the cloud platform is enhanced, and the user experience is enhanced.
The task mapping strategy of each service center server based on the discrete binary particle swarm optimization algorithm is used for matching a proper synchronization path between the service center server and the cloud server, a data content synchronization process is carried out based on the synchronization path, a proper calculation path is searched for synchronous data between the service center server and the cloud calculation layer, the processing delay of medical big data tasks is minimized, the user experience of the whole cloud platform is enhanced, the cloud calculation layer can be guaranteed to have the capacity of real-time response and calculation of medical big data, and errors in synchronous data condition processing are reduced.
The specific implementation method for matching the service center server and the cloud server with the appropriate synchronization path by the task mapping strategy of each service center server based on the discrete binary particle swarm optimization algorithm is as follows: setting detailed parameters of the binary quantum particle swarm based on the population scale, the maximum iteration times and the search space of the central server and the cloud server; initializing position variables of particles of a binary quantum particle swarm algorithm and local optimal values pbest of the particles, and solving global optimal values gbest of a group; calculating the optimal median position mbest of the particle swarm; calculating local attractors, and calculating particle positions; calculating the fitness of the new positions of the particles, updating the current optimal positions of the particles, and updating the optimal positions of the groups; and calculating the optimal position based on the maximum iteration times until the optimal position of the updated group is up to the end, and then outputting the global optimal position gbest of the group, wherein the result is the synchronous path of the service center server and the cloud server. The algorithm is simple in implementation process, easy and simple, has the advantages of high solving efficiency and the like, can meet the requirement of synchronous data under a cloud platform, well realizes real-time path planning and control of data synchronization between the service center server and the cloud server, and provides an effective method for path planning of data synchronization of the cloud platform.
In a specific implementation process, a plurality of CT machines (or other medical devices and other devices) can communicate with a service center server based on a power carrier communication P L C protocol, the center server receives broadband carrier data from a plurality of core motors based on a broadband power line interface circuit, the power line interface circuit is further used for demodulating medical data information in the broadband carrier data, each of the plurality of broadband power line interface circuits can be connected with one core motor, the core motors realize communication based on the power carrier communication P L C protocol service center server, the service center server is connected to the corresponding core motor based on the broadband power line interface circuit and circuit lines, receives the broadband carrier data from the corresponding core motor through the broadband circuit line interface circuit, and demodulates a control instruction set in the broadband carrier data, the data collected by the core motors is single, and the P L C protocol can simply collect the medical data on the core motors to the service center server, and simplify wiring requirements of the core motors under relevant environments.
The service center server needs to be connected with various broadband power line interface circuits based on a serial port module, so that a process of collecting data from multiple interfaces to one path is realized, and disorder of data collection is avoided.
The service center server also needs to filter the medical data information on the heart motor, and the filtering process is mainly used for blocking the 50Hz signal of the power line and enabling the broadband carrier signal to pass through in two directions. In a specific implementation process, a filtering module in the whole filtering process can amplify or attenuate a received analog signal based on a low noise amplifier and send the amplified or attenuated analog signal to an analog mixer; the analog mixer carries out frequency mixing processing on a received power line carrier signal and a signal generated by a local oscillator in the analog mixer, and the frequency of the signal obtained after the frequency mixing is within the passband range of the analog filter; the local oscillation frequency in the analog mixer is adjustable; the analog filter carries out filtering processing on the power line carrier signal after the frequency mixing processing; performing analog-to-digital conversion on the power line carrier signal after the filtering processing, and performing frequency mixing processing on the power line carrier signal after the analog-to-digital conversion by using a digital mixer, wherein the frequency of a signal obtained after the frequency mixing is within the passband range of a digital filter; and the digital filter carries out filtering processing on the power line carrier signal after the frequency mixing processing, and demodulates the signal after the filtering processing. By the data filtering method, data on each core motor can be optimized, the power line communication requirement is improved, and the adaptability of power line communication signals in the whole medical treatment system is improved.
It should be noted that, the service center server communicates with the plurality of diagnosis computer clients based on a serial communication protocol, a CAN controller is arranged between the service center server and the plurality of diagnosis computer clients, and the CAN controller includes a CAN bus interface, a CAN bus transceiver circuit, a CPU processor and a CAN bus switching circuit; the CPU processor is connected with the CAN bus transceiver circuit and is used for receiving and sending serial port data; the CPU processor is connected with the CAN bus switching circuit and is used for outputting different control signals to control the conduction and the closure of the CAN bus switching circuit; the CAN bus switching circuit is connected between the CAN bus interface and the CAN bus transceiver circuit and is used for controlling the signal output between the CAN bus and the central server.
The service center server CAN perform protocol conversion on the medical data information on the storage space corresponding to the diagnosis computer client based on the CAN controller, and transmits the medical data information to the corresponding diagnosis computer client after acquiring the corresponding medical data packet. CAN is an abbreviation of Controller Area Network (hereinafter CAN) and is a serial communication protocol standardized by ISO international. The field bus is one of the hot spots of the technical development in the current automation field, and is known as a computer local area network in the automation field. The occurrence of the method provides powerful technical support for realizing real-time and reliable data communication among all nodes of a distributed control system. The CAN bus is a field bus which has formed an international standard and has the characteristics of high communication rate, easy realization, high cost performance and the like.
The CAN controller CAN realize the protocol transmission process of transmitting the heart motor to the service center server based on the P L C protocol, the service center server receives the data based on the P L C protocol, realizes the data interaction process of the heart motor and the diagnosis computer client, ensures the transmission control process of the heart motor to the corresponding diagnosis computer client, ensures the centralized collection of the P L C protocol and realizes the receiving processing mechanism with stable protocol content.
For the equipment such as CT machine and X-ray machine, the service center server CAN adopt the mode supporting CAN bus protocol to receive data, store the received data with reference to the type of the diagnosis computer client, and send the data to the diagnosis computer client after repackaging the data.
When the diagnosis computer client sends medical data information to the service center server, the service center server CAN identify the received user terminal information, if the type of the heart motor is involved, the medical data is analyzed, which heart motor needs to be interacted in the medical data information is analyzed, the medical data information is written into a storage space corresponding to the heart motor, protocol conversion is carried out based on a P L C communication protocol corresponding to the heart motor and converted into a medical data packet capable of being analyzed by the heart motor, the service center server sends the medical data packet to the corresponding heart motor based on the address of the heart motor, if the type of the X-ray machine is involved, the medical data is analyzed, which X-ray machine needs to be interacted in the medical data information is analyzed, the medical data information is written into the storage space corresponding to the X-ray machine and is converted into the medical data packet capable of being analyzed by the X-ray machine based on a CAN bus protocol corresponding to the X-ray machine, and the service center server sends the medical data packet to the corresponding X-ray machine based on the address of the X-ray machine.
Fig. 2 shows a flow chart of a medical data processing method based on a cloud platform in an embodiment of the present invention, based on the system architecture shown in fig. 1, the cloud platform related thereto includes a cloud server, a service center server, and a plurality of user terminals, where the plurality of user terminals include: the system comprises a plurality of CT machines, a plurality of X-ray machines, a plurality of heart machines and a plurality of diagnosis computer clients, wherein a central server is used for realizing data interaction with a plurality of user terminals, and the central server and a service central server carry out data interaction, and the method comprises the following steps:
201. the service center server receives medical data information sent by a plurality of user terminals, and the medical data instruction comprises user terminal information required to be interacted;
s202, analyzing the medical data information, and analyzing the type of the user terminal needing to be interacted in the medical data instruction;
s203, writing the medical data information into a corresponding storage space in the service center server according to the type of the user terminal, wherein the storage space is set according to the type of the user terminal;
each service center server obtains a storage relation table corresponding to the user terminal type from a corresponding analysis table under a relation database based on the user terminal type, wherein the storage relation table records a storage space address corresponding to the user terminal type; and writing the medical data information into the corresponding storage space based on the storage space address corresponding to the user terminal type. Based on the matching relation of the storage space addresses corresponding to the user terminal types, the performance of storage scheduling of the service center server can be optimized, and the efficient in-out matching processing process is achieved.
Each service center server can identify whether a data interface of the corresponding storage space has a user data request or not in the process of writing the medical data information into the corresponding storage space based on the storage space address corresponding to the user terminal type; when a user data request exists in the data interface, identifying the data operation behavior to be performed in the corresponding storage space based on the relational database; acquiring a state value of the corresponding storage space, wherein the state value is mapped with the relevance between the corresponding storage space and a cloud storage space on a cloud server; and controlling the data content synchronization process of the corresponding storage space and the cloud storage space based on the data operation behavior and the state value of the storage space. The step ensures that concurrent operation between data on a plurality of service center servers and the cloud platform can be realized in the process that the service center servers synchronize the cloud platform, the data consistency is realized under the condition of ensuring data content synchronization, and the data consistency can be ensured even under the condition that abnormal downtime exists between the service center servers and the cloud platform, so that the stability of data synchronization from the service center servers to the cloud platform is ensured, the operation and maintenance feasibility of the cloud platform is enhanced, and the user experience is enhanced.
The task mapping strategy of each service center server based on the discrete binary particle swarm optimization algorithm is used for matching a proper synchronization path between the service center server and the cloud server, a data content synchronization process is carried out based on the synchronization path, a proper calculation path is searched for synchronous data between the service center server and the cloud calculation layer, the processing delay of medical big data tasks is minimized, the user experience of the whole cloud platform is enhanced, the cloud calculation layer can be guaranteed to have the capacity of real-time response and calculation of medical big data, and errors in synchronous data condition processing are reduced.
The specific implementation method for matching the service center server and the cloud server with the appropriate synchronization path by the task mapping strategy of each service center server based on the discrete binary particle swarm optimization algorithm is as follows: setting detailed parameters of the binary quantum particle swarm based on the population scale, the maximum iteration times and the search space of the central server and the cloud server; initializing position variables of particles of a binary quantum particle swarm algorithm and local optimal values pbest of the particles, and solving global optimal values gbest of a group; calculating the optimal median position mbest of the particle swarm; calculating local attractors, and calculating particle positions; calculating the fitness of the new positions of the particles, updating the current optimal positions of the particles, and updating the optimal positions of the groups; and calculating the optimal position based on the maximum iteration times until the optimal position of the updated group is up to the end, and then outputting the global optimal position gbest of the group, wherein the result is the synchronous path of the service center server and the cloud server. The algorithm is simple in implementation process, easy and simple, has the advantages of high solving efficiency and the like, can meet the requirement of synchronous data under a cloud platform, well realizes real-time path planning and control of data synchronization between the service center server and the cloud server, and provides an effective method for path planning of data synchronization of the cloud platform.
S204, performing protocol conversion on the medical data information stored in the storage space, and converting the medical data information into a medical data packet which can be analyzed by the corresponding user terminal;
and S205, sending the medical data packet to the user terminal corresponding to the address information based on the address information in the user terminal information.
In a specific implementation process, a plurality of CT machines (or other medical devices and other devices) can communicate with a service center server based on a power carrier communication P L C protocol, the center server receives broadband carrier data from a plurality of core motors based on a broadband power line interface circuit, the power line interface circuit is further used for demodulating medical data information in the broadband carrier data, each of the plurality of broadband power line interface circuits can be connected with one core motor, the core motors realize communication based on the power carrier communication P L C protocol service center server, the service center server is connected to the corresponding core motor based on the broadband power line interface circuit and circuit lines, receives the broadband carrier data from the corresponding core motor through the broadband circuit line interface circuit, and demodulates a control instruction set in the broadband carrier data, the data collected by the core motors is single, and the P L C protocol can simply collect the medical data on the core motors to the service center server, and simplify wiring requirements of the core motors under relevant environments.
The service center server needs to be connected with various broadband power line interface circuits based on a serial port module, so that a process of collecting data from multiple interfaces to one path is realized, and disorder of data collection is avoided.
The service center server also needs to filter the medical data information on the heart motor, and the filtering process is mainly used for blocking the 50Hz signal of the power line and enabling the broadband carrier signal to pass through in two directions. In a specific implementation process, a filtering module in the whole filtering process can amplify or attenuate a received analog signal based on a low noise amplifier and send the amplified or attenuated analog signal to an analog mixer; the analog mixer carries out frequency mixing processing on a received power line carrier signal and a signal generated by a local oscillator in the analog mixer, and the frequency of the signal obtained after the frequency mixing is within the passband range of the analog filter; the local oscillation frequency in the analog mixer is adjustable; the analog filter carries out filtering processing on the power line carrier signal after the frequency mixing processing; performing analog-to-digital conversion on the power line carrier signal after the filtering processing, and performing frequency mixing processing on the power line carrier signal after the analog-to-digital conversion by using a digital mixer, wherein the frequency of a signal obtained after the frequency mixing is within the passband range of a digital filter; and the digital filter carries out filtering processing on the power line carrier signal after the frequency mixing processing, and demodulates the signal after the filtering processing. By the data filtering method, data on each core motor can be optimized, the power line communication requirement is improved, and the adaptability of power line communication signals in the whole medical treatment system is improved.
It should be noted that, the service center server communicates with the plurality of diagnosis computer clients based on a serial communication protocol, a CAN controller is arranged between the service center server and the plurality of diagnosis computer clients, and the CAN controller includes a CAN bus interface, a CAN bus transceiver circuit, a CPU processor and a CAN bus switching circuit; the CPU processor is connected with the CAN bus transceiver circuit and is used for receiving and sending serial port data; the CPU processor is connected with the CAN bus switching circuit and is used for outputting different control signals to control the conduction and the closure of the CAN bus switching circuit; the CAN bus switching circuit is connected between the CAN bus interface and the CAN bus transceiver circuit and is used for controlling the signal output between the CAN bus and the central server.
The service center server CAN perform protocol conversion on the medical data information on the storage space corresponding to the diagnosis computer client based on the CAN controller, and transmits the medical data information to the corresponding diagnosis computer client after acquiring the corresponding medical data packet. CAN is an abbreviation of Controller Area Network (hereinafter CAN) and is a serial communication protocol standardized by ISO international. The field bus is one of the hot spots of the technical development in the current automation field, and is known as a computer local area network in the automation field. The occurrence of the method provides powerful technical support for realizing real-time and reliable data communication among all nodes of a distributed control system. The CAN bus is a field bus which has formed an international standard and has the characteristics of high communication rate, easy realization, high cost performance and the like.
The CAN controller CAN realize the protocol transmission process of transmitting the heart motor to the service center server based on the P L C protocol, the service center server receives the data based on the P L C protocol, realizes the data interaction process of the heart motor and the diagnosis computer client, ensures the transmission control process of the heart motor to the corresponding diagnosis computer client, ensures the centralized collection of the P L C protocol and realizes the receiving processing mechanism with stable protocol content.
For the equipment such as CT machine and X-ray machine, the service center server CAN adopt the mode supporting CAN bus protocol to receive data, store the received data with reference to the type of the diagnosis computer client, and send the data to the diagnosis computer client after repackaging the data.
When the diagnosis computer client sends medical data information to the service center server, the service center server CAN identify the received user terminal information, if the type of the heart motor is involved, the medical data is analyzed, which heart motor needs to be interacted in the medical data information is analyzed, the medical data information is written into a storage space corresponding to the heart motor, protocol conversion is carried out based on a P L C communication protocol corresponding to the heart motor and converted into a medical data packet capable of being analyzed by the heart motor, the service center server sends the medical data packet to the corresponding heart motor based on the address of the heart motor, if the type of the X-ray machine is involved, the medical data is analyzed, which X-ray machine needs to be interacted in the medical data information is analyzed, the medical data information is written into the storage space corresponding to the X-ray machine and is converted into the medical data packet capable of being analyzed by the X-ray machine based on a CAN bus protocol corresponding to the X-ray machine, and the service center server sends the medical data packet to the corresponding X-ray machine based on the address of the X-ray machine.
To sum up, the embodiment of the present invention connects different user terminals through a service center server, analyzes the type of the corresponding user terminal on the medical data information by obtaining the medical data information sent by different user terminals, writes the medical data information according to the storage space matched with the type of the user terminal, and then performs protocol conversion with reference to the types of different user terminals, thereby finally ensuring that a data packet can be analyzed by the user terminals, thereby ensuring that data interaction is realized among different user terminals, supporting the user terminals under different protocols to realize interconnection and intercommunication, and realizing barrier-free communication among digital medical devices.
Through the cloud platform architecture, the medical data acquired by the service center server can be synchronized with the cloud storage space in real time, cloud computing of the medical big data can be guaranteed, synchronous path computing is performed between the service center server and the cloud server by adopting a task mapping strategy of a discrete binary particle swarm optimization algorithm, the medical data acquired by the service center server cannot be delayed when being synchronized to the cloud platform, the medical data acquired by the service server can be synchronized to the corresponding storage space of the cloud platform in real time, the real-time performance is good, and the cloud platform can comprehensively analyze and compute the whole digital medical data to provide good reference.
The medical data processing method and the medical data processing system based on the cloud platform provided by the embodiment of the invention are described in detail, a specific example is applied in the text to explain the principle and the implementation mode of the invention, and the description of the embodiment is only used for helping to understand the method and the core idea of the invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (10)
1. A medical data processing method based on a cloud platform is characterized in that the cloud platform comprises a cloud server, a service center server and a plurality of user terminals, and the user terminals comprise: the system comprises a plurality of CT machines, a plurality of X-ray machines, a plurality of heart machines and a plurality of diagnosis computer clients, wherein a central server is used for realizing data interaction with a plurality of user terminals, and the central server and a service central server carry out data interaction, and the method comprises the following steps:
the service center server receives medical data information sent by a plurality of user terminals, and the medical data instruction comprises user terminal information required to be interacted;
analyzing the medical data information, and analyzing the type of the user terminal required to be interacted in the medical data instruction;
writing the medical data information into a corresponding storage space in the service center server according to the type of the user terminal, wherein the storage space is set according to the type of the user terminal;
carrying out protocol conversion on the medical data information stored in the storage space, and converting the medical data information into a medical data packet which can be analyzed by the corresponding user terminal;
and sending the medical data packet to a user terminal corresponding to the address information based on the address information in the user terminal information.
2. The medical data processing method based on multi-service mode as claimed in claim 1, wherein said writing the medical data information to the corresponding storage space in the service center server according to the user terminal type comprises:
obtaining a storage relation table corresponding to the user terminal type from a corresponding analysis table under a relation database based on the user terminal type, wherein the storage relation table records a storage space address corresponding to the user terminal type;
and writing the medical data information into the corresponding storage space based on the storage space address corresponding to the user terminal type.
3. The medical data processing method based on multi-service mode as claimed in claim 2, wherein the writing the medical data information to the corresponding storage space based on the storage space address corresponding to the user terminal type further comprises:
identifying whether a data interface of the corresponding storage space has a user data request;
when a user data request exists in the data interface, identifying the data operation behavior to be performed in the corresponding storage space based on the relational database;
acquiring a state value of the corresponding storage space, wherein the state value is mapped with the relevance between the corresponding storage space and a cloud storage space on a cloud server;
and controlling the data content synchronization process of the corresponding storage space and the cloud storage space based on the data operation behavior and the state value of the storage space.
4. The medical data processing method based on the multi-service mode as claimed in claim 3, wherein the controlling of the data content synchronization process of the corresponding storage space and the cloud storage space based on the data operation behavior and the state value of the storage space comprises:
the task mapping strategy based on the discrete binary particle swarm optimization algorithm is used for matching a proper synchronization path between the service center server and the cloud server, and a data content synchronization process is carried out based on the synchronization path.
5. The method of claim 1, wherein the plurality of cardiac electric machines communicate with the service center server based on a P L C protocol, the center server receives broadband carrier data from the plurality of cardiac electric machines based on a broadband power line interface circuit, and the power line interface circuit is further configured to demodulate medical data information in the broadband carrier data.
6. The method according to claim 1, wherein the service center server communicates with the plurality of diagnostic computer clients based on a serial communication protocol, and a CAN controller is disposed between the service center server and the plurality of diagnostic computer clients, and the CAN controller includes a CAN bus interface, a CAN bus transceiver circuit, a CPU processor, and a CAN bus switching circuit; the CPU processor is connected with the CAN bus transceiver circuit and is used for receiving and sending serial port data; the CPU processor is connected with the CAN bus switching circuit and is used for outputting different control signals to control the conduction and the closure of the CAN bus switching circuit; the CAN bus switching circuit is connected between the CAN bus interface and the CAN bus transceiver circuit and is used for controlling the signal output between the CAN bus and the central server.
7. A medical data processing system, comprising: cloud server, business center server and a plurality of user terminal, a plurality of user terminal include: the system comprises a plurality of CT machines, a plurality of X-ray machines, a plurality of heart motors and a plurality of diagnosis computer clients, wherein a central server is used for realizing data interaction with a plurality of user terminals, and the central server and a service central server perform data interaction, wherein:
the service center server receives medical data information sent by a plurality of user terminals, and the medical data instruction comprises user terminal information required to be interacted; analyzing the medical data information, and analyzing the type of the user terminal required to be interacted in the medical data instruction; writing the medical data information into a corresponding storage space in the service center server according to the type of the user terminal, wherein the storage space is set according to the type of the user terminal; carrying out protocol conversion on the medical data information stored in the storage space, and converting the medical data information into a medical data packet which can be analyzed by the corresponding user terminal; and sending the medical data packet to a user terminal corresponding to the address information based on the address information in the user terminal information.
8. The medical data processing system of claim 7, wherein the plurality of cardiac electrical machines communicate with the service center server based on a power carrier communication P L C protocol, the center server receiving broadband carrier data from the plurality of cardiac electrical machines based on a broadband power line interface circuit, the power line interface circuit further configured to demodulate medical data information in the broadband carrier data.
9. The medical data processing system of claim 7, wherein the service center server communicates with the plurality of diagnostic computer clients based on a serial communication protocol, and a CAN controller is disposed between the service center server and the plurality of diagnostic computer clients, the CAN controller including a CAN bus interface, a CAN bus transceiver circuit, a CPU processor, and a CAN bus switching circuit; the CPU processor is connected with the CAN bus transceiver circuit and is used for receiving and sending serial port data; the CPU processor is connected with the CAN bus switching circuit and is used for outputting different control signals to control the conduction and the closure of the CAN bus switching circuit; the CAN bus switching circuit is connected between the CAN bus interface and the CAN bus transceiver circuit and is used for controlling the signal output between the CAN bus and the central server.
10. The medical data processing system according to any one of claims 7 to 8, wherein the service center server obtains a storage relationship table corresponding to the user terminal type from a corresponding resolution table under a relationship database based on the user terminal type, wherein the storage relationship table records a storage space address corresponding to the user terminal type; and writing the medical data information into the corresponding storage space based on the storage space address corresponding to the user terminal type.
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