CN112187513A - Medical Internet of things cloud platform method and system based on big data and storage medium - Google Patents
Medical Internet of things cloud platform method and system based on big data and storage medium Download PDFInfo
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- 238000004891 communication Methods 0.000 claims description 4
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/069—Management of faults, events, alarms or notifications using logs of notifications; Post-processing of notifications
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y30/00—IoT infrastructure
- G16Y30/10—Security thereof
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y40/00—IoT characterised by the purpose of the information processing
- G16Y40/50—Safety; Security of things, users, data or systems
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/04—Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks
- H04L63/0428—Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks wherein the data content is protected, e.g. by encrypting or encapsulating the payload
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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Abstract
The invention discloses a medical internet of things cloud platform method, a system and a storage medium based on big data, wherein the method comprises the following steps: encrypting and transmitting the generated service data; acquiring a log in a log management system, and sending the log to a big data analysis system; receiving an effective error log sent by the big data analysis system; and generating a corresponding work order according to the effective error log. The system comprises a cloud platform server, a log management system, a big data analysis system and an intelligent terminal collector. The medium stores a computer program which can be loaded and executed by the processor, powerful support is provided for fine management and long-term operation of the medical equipment, and a positive effect is played for benefit promotion of the mechanism.
Description
Technical Field
The invention relates to the technical field of Internet of things and big data, in particular to a medical Internet of things cloud platform method and system based on big data and a storage medium.
Background
With the construction of informatization and digitization enterprises in the medical industry, the wide application of internet of things (IoT) and big data technology in the medical enterprises, and the management and maintenance of medical institution equipment develop towards intellectualization. The medical equipment is connected through the Internet of things technology, and the equipment is detected, positioned and monitored. With the rapid increase of the types and the number of the medical equipment and instruments, the traditional mode needs manual maintenance and repair of the equipment, thereby greatly wasting time and increasing cost.
Disclosure of Invention
In order to solve the problems, the invention provides a medical internet of things cloud platform method, a system and a storage medium based on big data, which have the advantages of improving the maintenance efficiency and the utilization rate of equipment, saving a large amount of time for engineers and medical institutions, giving full play to the greater value of medical equipment, and improving the service quality of patients by the medical institutions.
The technical scheme of the invention is as follows:
in one aspect, the invention provides a big data-based medical internet of things cloud platform method, which comprises the following steps:
encrypting and transmitting the generated service data;
acquiring a log in a log management system, and sending the log to a big data analysis system;
receiving an effective error log sent by the big data analysis system;
and generating a corresponding work order according to the effective error log.
The technical scheme provides a medical Internet of things cloud platform method based on big data, and provides a cloud platform server which transmits log data to a cloud platform server side through the Internet based on an Internet operating environment. According to the technical scheme, through the Internet of things and the big data, the medical equipment error logs are automatically acquired, uploaded and positioned, so that the equipment maintenance efficiency and the utilization rate are greatly improved, and the service quality of medical institutions for patients is improved.
In a further technical solution, the encrypting and transmitting the generated service data includes:
the service data comprises data generated by a cloud platform server and log data acquired by an intelligent terminal acquisition unit.
The data generated by the cloud platform server and the log data collected by the intelligent terminal collector are collected, so that the data information is more comprehensive, and the cloud platform server can more comprehensively and carefully carry out fault check on the log.
In a further technical solution, the obtaining the log in the log management system includes the following steps:
the medical equipment is connected with the intelligent terminal collector;
the intelligent terminal collector collects service data, temporarily stores the data generated by the cloud platform server, and filters and temporarily stores log data;
and compressing the log data acquired in real time and uploading the log data to a log management system.
The log management system receives logs transmitted by the cloud platform server, decompresses and persistently stores the logs received from the terminal through a gzip decompression algorithm, realizes storage of a large amount of log data, and is beneficial to classification of fault logs by the log management system.
In a further technical scheme, the intelligent terminal collector further comprises the following steps:
the intelligent terminal collector temporarily stores the service data to a corresponding file every 10 minutes;
the intelligent terminal collector compresses data through a gzip algorithm;
and the intelligent terminal collector transmits the data to the server side log management system through the terminal WIFI/5G network.
Through intelligent terminal collection log, equipment monitoring and equipment location, terminal data pass through compression, encryption, convey to the server through WIFI 5G, through this kind of mode, can guarantee terminal data transmission's security and quality.
In a further technical solution, the receiving the valid error log sent by the big data analysis system includes:
the big data analysis system is built by adopting Hadoop, Storm, Spark, Hbase, Hive and other frameworks, logs are read from the log management system, and data cleaning and data query are carried out on log data.
The log data is automatically analyzed and counted by the big data analysis system, so that the medical equipment fault can be accurately pre-judged, the medical equipment can be timely repaired, and the maintenance time is short.
In a further technical solution, the generating a corresponding work order according to the effective error log includes:
and the administrator confirms the maintenance work order and sends the maintenance work order to an engineer.
The work order and the delivery order are automatically generated, the efficiency of medical institutions and manufacturers or maintainers is improved, and the vacancy rate of medical equipment is greatly reduced.
In a further technical scheme, the method also comprises the following steps:
the cloud platform server further comprises the following steps:
a SpringCloud micro-service architecture is adopted, so that the module coupling is reduced;
and performing virtualization deployment through kubernets and Docker.
The cloud platform server is a service layer, adopts a SpringCloud micro-service architecture and carries out virtualization distributed deployment through kubernets and dockers. The agility, flexibility and expandability of the system are increased. Each micro-service responsibility is distinct, and the division of cloud platform server-side services and the expansion of medical equipment log data services and big data analysis systems are facilitated.
In a further technical solution, the technical solution further includes:
the communication in the method is carried out by HL7 protocol and proprietary definition protocol.
According to the technical scheme, the proprietary definition protocol and the HL7 protocol are adopted, so that the medical equipment can be conveniently transmitted to the cloud platform server side through the Internet.
In another aspect, the invention provides a medical internet of things cloud platform system based on big data, and the system comprises:
the cloud platform server is used for acquiring the logs in the log management system and sending the logs to the big data analysis system;
the log management system is used for receiving and inquiring logs transmitted by the cloud platform server;
the big data analysis system is used for reading the log from the log management system, and performing data cleaning and data query on the log data;
the intelligent terminal collector is used for collecting fault logs generated on the medical equipment, temporarily storing, filtering and data compressing collected log data, encrypting the compressed data and uploading the encrypted data to the cloud platform log system.
In another aspect, the present invention provides a computer readable storage medium storing a program capable of being loaded by a processor and executing the above method.
The invention has the beneficial effects that:
1. the technical scheme provides a medical Internet of things cloud platform method based on big data, and provides a cloud platform server which transmits log data to a cloud platform server side through the Internet based on an Internet operating environment. According to the technical scheme, through the automatic acquisition, log uploading and equipment positioning of the error logs of the medical equipment through the Internet of things and the big data, the equipment maintenance efficiency and the utilization rate are greatly improved, a large amount of time is saved for engineers and medical institutions, greater value of the medical equipment is brought into play, and the quality of service of the medical institutions for patients is improved;
2. the data generated by the cloud platform server and the log data collected by the intelligent terminal collector are collected, so that the data information is more comprehensive, and the cloud platform server can more comprehensively and finely check the log;
3. the log management system receives logs transmitted by the cloud platform server, decompresses and persistently stores the logs received from the terminal through a gzip decompression algorithm, realizes storage of a large amount of log data, and is beneficial to classification of fault logs by the log management system;
4. the intelligent terminal acquires logs, monitors the equipment and positions the equipment, terminal data are compressed and encrypted and are transmitted to the server through WIFI/5G, and the safety and the quality of terminal data transmission can be guaranteed in such a way;
5. the log data are automatically analyzed and counted by a big data analysis system, so that the medical equipment fault can be accurately pre-judged, timely reported and repaired, and the maintenance time is short;
6. the work order and the delivery order are automatically generated, so that the efficiency of medical institutions and manufacturers or maintainers is improved, and the vacancy rate of medical equipment is greatly reduced;
7. the cloud platform server is a service layer, adopts a SpringCloud micro-service architecture and performs virtualization deployment through kubernets and dockers, and is more convenient to realize automatic acquisition and filtering compression of log data of medical equipment through a terminal;
8. according to the technical scheme, the proprietary definition protocol and the HL7 protocol are adopted, so that the medical equipment can be conveniently transmitted to the cloud platform server side through the Internet;
9. a processing method which generates a work order for the log and automatically distributes issuing flows based on a log management system and a big data analysis system in real time is adopted;
10. the intelligent cleaning and filtering of the log data by the data analysis system can be realized.
Drawings
Fig. 1 is a flowchart of a big data based medical internet of things cloud platform method according to an embodiment of the present invention;
fig. 2 is a system diagram of a big data-based cloud platform method for the medical internet of things according to an embodiment of the invention;
fig. 3 is a typical system architecture diagram of a solution of a big data based cloud platform method for medical internet of things according to an embodiment of the present invention;
fig. 4 is a flow chart of processing a log collection processing process and a service-side log analysis generation device work order of a big-data-based medical internet of things cloud platform method according to an embodiment of the present invention;
fig. 5 is a system diagram for automatically generating a work order and automatically dispatching a work order by an intelligent device fault analysis service based on a big data medical internet of things cloud platform method according to an embodiment of the invention.
Description of reference numerals:
10. an intelligent terminal collector; 11. a cloud platform server; 12. a log management system; 13. big data analysis system.
Detailed Description
The embodiments of the present invention will be further described with reference to the accompanying drawings.
Example (b):
as shown in fig. 1, a big data based medical internet of things cloud platform method includes the following steps:
encrypting and transmitting the generated service data;
acquiring a log in a log management system, and sending the log to a big data analysis system;
receiving an effective error log sent by the big data analysis system;
and generating a corresponding work order according to the effective error log.
In the embodiment, 1) the cloud platform server queries the latest log from the log management system in real time; 2) cleaning, analyzing and filtering the logs through a big data analysis system algorithm, matching corresponding equipment on a cloud platform server, and automatically generating a corresponding work order according to an error log; 3) and the administrator user confirms whether the work order needs to be processed, if so, the work order needs to be processed and then the work order is sent to an engineer APP, and if not, the work order is discarded.
The embodiment provides a medical internet of things cloud platform method based on big data, and provides a cloud platform server which transmits log data to a cloud platform server side through the internet based on an internet operating environment.
In another embodiment, the encrypting and transmitting the generated service data includes:
the service data comprises data generated by a cloud platform server and log data acquired by an intelligent terminal acquisition unit.
The data generated by the cloud platform server and the log data collected by the intelligent terminal collector are collected, so that the data information is more comprehensive, and the cloud platform server can more comprehensively and carefully carry out fault check on the log.
In another embodiment, as shown in fig. 3, the obtaining the log in the log management system includes the following steps:
the medical equipment is connected with the intelligent terminal collector;
the intelligent terminal collector filters, temporarily stores, compresses and encrypts the log data collected from the medical equipment and uploads the log data to a log system of the server side.
The log management system receives logs transmitted by the intelligent terminal collector, decompresses the logs received from the intelligent terminal collector through a gzip decompression algorithm, stores the logs persistently, and builds a log visual query platform through an elastic search frame, a Logstash frame and a Kibana frame.
In another embodiment, as shown in fig. 4, the intelligent terminal collector further includes the following steps:
the intelligent terminal collector temporarily stores the service data to a corresponding file every 10 minutes;
the intelligent terminal collector compresses data through a gzip algorithm;
and the intelligent terminal collector transmits the data to the server side log management system through the terminal WIFI/5G network.
After the intelligent terminal acquisition equipment is started, the intelligent terminal acquisition equipment is connected with the acquisition equipment through the equipment COM port. And externally outputting input data, and interacting the equipment COM and the intelligent terminal collector equipment through an HL7 protocol. The intelligent terminal is used for positioning and monitoring the equipment, collected logs are filtered and compressed, after data are collected in real time by the intelligent terminal collector, the data are filtered, corresponding files are written in for temporary storage, the data are compressed through a gzip algorithm at an interval of 10 minutes, and the data and the cloud platform server are uploaded through a WIFI/5G through a private communication protocol. By the method, the safety and the quality of terminal data transmission can be ensured. And the server side decompresses the data through a log receiving service gzip decompression algorithm and stores the decompressed data to a log management system in a classified manner.
In another embodiment, the receiving the valid error log sent by the big data analysis system includes:
the big data analysis system is built by adopting Hadoop, Storm, Spark, Hbase, Hive and other frameworks, logs are read from the log management system, and data cleaning and data query are carried out on log data.
The log data is automatically analyzed and counted by the big data analysis system, so that the medical equipment fault can be accurately pre-judged, the medical equipment can be timely repaired, and the maintenance time is short.
In another embodiment, as shown in FIG. 5, the generating of the correspondence from the valid error logs is performed
The work order includes:
and the administrator confirms the maintenance work order and sends the maintenance work order to an engineer.
And displaying the adapted data visually based on the logic and data processing of the cloud platform server. And the APP receives the relevant information such as the work order pushed by the server side, and displays and processes the relevant service.
The work order and the delivery order are automatically generated, the efficiency of medical institutions and manufacturers or maintainers is improved, and the vacancy rate of medical equipment is greatly reduced.
In another embodiment, the method further comprises the following steps:
the cloud platform server further comprises the following steps:
the cloud platform server adopts a SpringCloud micro-service architecture, is deployed in a distributed mode, and reduces the module coupling;
and the cloud platform server performs virtualization deployment through kubernets and Docker.
The cloud platform server is mainly divided into micro-service systems such as a background management function service, a data monitoring service, an authority management service, a cloud data storage service and a log management system service.
The cloud platform server is a service layer, adopts a SpringCloud micro-service architecture and performs virtualization deployment through kubernets and dockers, and is more convenient for realizing automatic acquisition and filtering compression of log data of medical equipment through a terminal.
In another embodiment, the present embodiment further includes:
the communication in the method is carried out by HL7 protocol and proprietary definition protocol.
The embodiment adopts the proprietary definition protocol and the HL7 protocol, so that the medical equipment can be conveniently transmitted to the cloud platform server side through the Internet.
In another embodiment, as shown in fig. 2, the present embodiment provides a big data based cloud platform system for medical internet of things, the system including:
the cloud platform server is used for acquiring the logs in the log management system and sending the logs to the big data analysis system;
the log management system is used for receiving, inquiring and storing the logs transmitted by the cloud platform server;
the big data analysis system is used for reading the log from the log management system, and performing data cleaning and data query on the log data;
the intelligent terminal collector is used for collecting fault logs generated on the medical equipment, temporarily storing, filtering and data compressing collected log data, encrypting the compressed data and uploading the encrypted data to the cloud platform log system.
In this embodiment, the COM port of the medical device is connected to the intelligent terminal log collector, and the medical device communicates with the custom protocol through the HL7 protocol. And compressing the log collected in real time, and uploading the compressed log to a log management system. The cloud platform server obtains logs from the log management system in real time, effective error logs are cleaned out through the big data analysis system, a work order corresponding to the equipment is generated through the cloud platform server, an administrator confirms the effective work order, an engineer nearby is distributed, and the work order is automatically issued to the engineer APP end.
In another embodiment, the present embodiments provide a computer-readable storage medium storing a program capable of being loaded by a processor and executing the above-described method.
The above-mentioned embodiments only express the specific embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention.
Claims (10)
1. A big data-based medical Internet of things cloud platform method is characterized by comprising the following steps:
encrypting and transmitting the generated service data;
acquiring a log in a log management system, and sending the log to a big data analysis system;
receiving an effective error log sent by the big data analysis system;
and generating a corresponding work order according to the effective error log.
2. The big data-based medical internet of things cloud platform method according to claim 1, wherein the encrypting and transmitting the generated service data comprises:
the service data comprises data generated by a cloud platform server and log data acquired by an intelligent terminal acquisition unit.
3. The big-data-based medical internet of things cloud platform method according to claim 1 or 2, wherein the step of obtaining the logs in the log management system comprises the following steps:
the medical equipment is connected with the intelligent terminal collector;
the intelligent terminal collector collects service data, temporarily stores the data generated by the cloud platform server, and filters and temporarily stores log data;
and compressing the log data acquired in real time and uploading the log data to a log management system.
4. The big data-based medical internet of things cloud platform method according to claim 3, wherein the intelligent terminal collector further comprises the following steps:
the intelligent terminal collector temporarily stores the service data to a corresponding file every 10 minutes;
the intelligent terminal collector compresses data through a gzip algorithm;
and the intelligent terminal collector transmits the data to the server side log management system through the terminal WIFI/5G network.
5. The big-data-based medical internet-of-things cloud platform method according to claim 1, wherein the receiving the valid error log sent by the big-data analysis system comprises:
the big data analysis system is built by adopting Hadoop, Storm, Spark, Hbase, Hive and other frameworks, logs are read from the log management system, and data cleaning and data query are carried out on log data.
6. The big-data-based medical internet of things cloud platform method according to claim 1, wherein the generating a corresponding work order from the valid error log comprises:
and the administrator confirms the maintenance work order and sends the maintenance work order to an engineer.
7. The big-data-based medical internet of things cloud platform method according to claim 1, wherein the cloud platform server further comprises the following steps:
a SpringCloud micro-service architecture is adopted, so that the module coupling is reduced;
and performing virtualization deployment through kubernets and Docker.
8. The big-data-based medical internet of things cloud platform method according to claim 1, comprising:
the communication in the method is carried out by HL7 protocol and proprietary definition protocol.
9. A big data based medical Internet of things cloud platform system, the system comprising: the cloud platform server is used for acquiring the logs in the log management system and sending the logs to the big data analysis system;
the log management system is used for receiving, inquiring and storing the logs transmitted by the cloud platform server;
the big data analysis system is used for reading the log from the log management system, and performing data cleaning and data query on the log data;
the intelligent terminal collector is used for collecting fault logs generated on the medical equipment, temporarily storing, filtering and data compressing collected log data, encrypting the compressed data and uploading the encrypted data to the cloud platform log system.
10. A computer-readable storage medium storing a computer program which can be loaded by a processor and which executes the method according to any one of claims 1 to 8.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112768046A (en) * | 2021-01-27 | 2021-05-07 | 深圳市智莱科技股份有限公司 | Data processing method, medical management system and terminal |
| CN113921130A (en) * | 2021-09-07 | 2022-01-11 | 医惠科技有限公司 | Cloud-native-based smart medical cloud ecological service method, equipment and storage medium |
| CN114268798A (en) * | 2021-12-17 | 2022-04-01 | 广州先聚智能科技有限公司 | Internet of things application system based on 5G streaming media |
| CN116582406A (en) * | 2023-07-13 | 2023-08-11 | 支付宝(杭州)信息技术有限公司 | Method and device for uploading monitoring data |
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| CN109462512A (en) * | 2018-12-25 | 2019-03-12 | 深圳开立生物医疗科技股份有限公司 | Medical equipment failure processing method and system, cloud server and Internet of things system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112768046A (en) * | 2021-01-27 | 2021-05-07 | 深圳市智莱科技股份有限公司 | Data processing method, medical management system and terminal |
| CN113921130A (en) * | 2021-09-07 | 2022-01-11 | 医惠科技有限公司 | Cloud-native-based smart medical cloud ecological service method, equipment and storage medium |
| CN114268798A (en) * | 2021-12-17 | 2022-04-01 | 广州先聚智能科技有限公司 | Internet of things application system based on 5G streaming media |
| CN116582406A (en) * | 2023-07-13 | 2023-08-11 | 支付宝(杭州)信息技术有限公司 | Method and device for uploading monitoring data |
| CN116582406B (en) * | 2023-07-13 | 2023-09-26 | 支付宝(杭州)信息技术有限公司 | Method and device for uploading monitoring data |
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Application publication date: 20210105 |