CN116469537A - Large data platform for whole-flow management of oxyhydrogen treatment of respiratory diseases - Google Patents
Large data platform for whole-flow management of oxyhydrogen treatment of respiratory diseases Download PDFInfo
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- CN116469537A CN116469537A CN202310252327.7A CN202310252327A CN116469537A CN 116469537 A CN116469537 A CN 116469537A CN 202310252327 A CN202310252327 A CN 202310252327A CN 116469537 A CN116469537 A CN 116469537A
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/80—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for detecting, monitoring or modelling epidemics or pandemics, e.g. flu
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
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Abstract
The invention relates to the technical field of health management, and discloses a respiratory disease whole-flow management oxyhydrogen treatment big data platform, which comprises a big data analysis platform, an information acquisition platform, an intelligent terminal and oxyhydrogen treatment equipment, wherein the big data analysis platform comprises a plurality of information acquisition modules, a plurality of information acquisition modules and a plurality of information acquisition modules, wherein the information acquisition modules are connected with the information acquisition modules: the information acquisition platform is used for acquiring various body health data indications of the user and uploading the acquired health data to the big data analysis platform; the big data analysis platform comprises a data processing module, a data storage module, a cloud storage module and an information feedback module, wherein the data storage module is used for fully storing information uploaded by the information acquisition platform, and the data processing module is used for analyzing and sorting the information uploaded by the information acquisition platform, screening out useful information and uploading the useful information to the cloud storage module for storage. This respiratory disease overall process management oxyhydrogen treatment big data platform, respiratory disease can prevent and use oxyhydrogen treatment facility to treat under overall process control, and the wholeness is higher, and the monitoring is more timely.
Description
Technical Field
The invention relates to the technical field of health management, in particular to a big data platform for full-flow management of oxyhydrogen treatment of respiratory diseases.
Background
Big data or huge amount of data refers to information which is huge in size and cannot be retrieved, managed, processed and tidied through a mainstream software tool in a reasonable time, and becomes a positive purpose for helping business operation decision.
With the improvement of the life quality of people, the attention to the health of individuals is continuously improved, and the traditional heavy large-scale health monitor cannot meet the needs of people; meanwhile, along with the development of information technology, the existing home visit diagnosis and portable medical equipment play a role to a certain extent, however, due to the number of manual work, a large number of medical gaps still exist, so that a more efficient and informationized product is needed to promote the development of health management, and therefore, a large oxyhydrogen treatment data platform for respiratory disease whole-flow management is provided.
Disclosure of Invention
The invention aims to provide a large data platform for respiratory disease whole-flow management oxyhydrogen treatment, so as to solve the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme: the respiratory disease whole-flow management oxyhydrogen treatment big data platform comprises a big data analysis platform, an information acquisition platform, an intelligent terminal and oxyhydrogen treatment equipment:
the information acquisition platform is used for acquiring various body health data indications of the user and uploading the acquired health data to the big data analysis platform;
the big data analysis platform comprises a data processing module, a data storage module, a cloud storage module and an information feedback module, wherein the data storage module is used for fully storing the information uploaded by the information acquisition platform, and the data processing module is used for analyzing and sorting the information uploaded by the information acquisition platform, screening out useful information and uploading the useful information to the cloud storage module for storage;
the intelligent terminal is used for uploading self health information to the big data analysis platform by a user and receiving feedback information given by the information feedback module in the big data analysis platform;
the oxyhydrogen treatment equipment is connected with a data processing module and an information feedback module in the big data analysis platform, and the use of the oxyhydrogen treatment equipment is authorized by the information feedback module.
Preferably, the information collection platform comprises five aspects, namely household environmental factors, smoking conditions, tumor factors, environmental factors and bacterial infection factors.
Preferably, the information collection platform is mainly aimed at the collection of allergens when collecting household environmental factors of users.
Preferably, the information collection platform should collect whether smoking, age of smoking and second hand smoke contact problems are solved when collecting smoking status of users.
Preferably, the information acquisition platform is mainly used for acquiring whether a respiratory system primary tumor and a metastatic tumor exist or not and the pre-cancerous lesion condition and the chest and lung nodule development condition of a user when collecting tumor factors of the user.
Preferably, the information acquisition platform is mainly used for analyzing and acquiring the working environment conditions of the user when collecting the environment factors.
Preferably, the information collection platform is mainly used for collecting the common respiratory diseases such as pneumonia, pharyngitis and tonsil development caused by bacterial infection when collecting bacterial infection factors.
Preferably, the data storage module comprises a data arrangement unit and a data processing unit, the data arrangement unit is used for classifying and arranging personal information of different users, namely classifying and arranging household environmental factors, smoking conditions, tumor factors, environmental factors and bacterial infection factors which comprise five factors inducing respiratory diseases, the data processing unit is used for classifying and processing the classified and arranged information, the classified and processed level is respectively high-risk level, medium-risk level and low-risk level according to the development degree of the five factors inducing respiratory diseases, the data processing unit can upload the classified information to the cloud storage module for storage, and redundant information is reserved in the data storage module.
Preferably, the information feedback module is used for feeding back the danger level to the intelligent terminal, and giving out conditions and reservation use windows of the oxyhydrogen treatment equipment on the intelligent terminal.
Compared with the prior art, the invention has the following beneficial effects:
firstly, the information of household environmental factors, smoking conditions, tumor factors, environmental factors and bacterial infection factors are acquired by the information acquisition platform, then the user information is uploaded to the big data analysis platform by the intelligent terminal, and then the information is connected by the data processing module and the information feedback module in the big data analysis platform, and the use of the oxyhydrogen treatment equipment is authorized by the information feedback module, so that respiratory diseases can be prevented under the whole-flow monitoring and the treatment by using the oxyhydrogen treatment equipment, the integrity is higher, and the monitoring is more timely.
The second, the invention is used for classifying and arranging personal information of different users through the data arrangement unit, namely classifying and arranging household environmental factors, smoking conditions, tumor factors, environmental factors and bacterial infection factors which comprise five factors inducing respiratory diseases, the data processing unit classifies and arranges the classified and arranged information, the classified and arranged information is classified and processed according to the development degree of the five factors inducing respiratory diseases, the classified and processed grade is respectively high-risk grade, medium-risk grade and low-risk grade, the classified information can be uploaded to the cloud storage module for storage by the data processing unit, and redundant information is reserved in the data storage module, so that the illness state can be better classified and managed, and medical resources are saved.
Drawings
FIG. 1 is a schematic diagram of the overall flow management oxyhydrogen treatment big data platform composition of the respiratory disease of the present invention;
FIG. 2 is a schematic diagram of the big data analysis platform of the present invention;
FIG. 3 is a schematic diagram of the information collection platform of the present invention;
FIG. 4 is a schematic diagram of information collection composition of a user side of the information collection platform according to the present invention;
FIG. 5 is a schematic diagram of the operation flow of the present invention;
FIG. 6 is a schematic diagram illustrating an analysis of a data storage module according to the present invention;
FIG. 7 is a schematic diagram of the use of the oxyhydrogen treatment apparatus according to the present invention in accordance with the stage.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1-7, the respiratory disease whole-flow management oxyhydrogen treatment big data platform comprises a big data analysis platform, an information acquisition platform, an intelligent terminal and oxyhydrogen treatment equipment:
the information acquisition platform is used for acquiring various body health data indications of the user and uploading the acquired health data to the big data analysis platform;
the big data analysis platform comprises a data processing module, a data storage module, a cloud storage module and an information feedback module, wherein the data storage module is used for fully storing the information uploaded by the information acquisition platform, and the data processing module is used for analyzing and sorting the information uploaded by the information acquisition platform, screening out useful information and uploading the useful information to the cloud storage module for storage;
the intelligent terminal is used for uploading self health information to the big data analysis platform by a user and receiving feedback information given by the information feedback module in the big data analysis platform;
the oxyhydrogen treatment equipment is connected with a data processing module and an information feedback module in the big data analysis platform, and the use of the oxyhydrogen treatment equipment is authorized by the information feedback module.
Specifically, the information acquisition platform includes five aspects, namely household environmental factors, smoking conditions, tumor factors, environmental factors and bacterial infection factors.
Through the technical scheme, data analysis is performed from five aspects, so that the user condition is more comprehensively known, and complete basic information is provided for subsequent treatment.
Specifically, the information acquisition platform is mainly aimed at the acquisition of allergens when collecting household environmental factors of users.
Through the technical scheme, volatile substances in indoor environments, finishing materials and furniture, dust mites on plush toys, pillows and bedding and the like are common allergens for inducing asthma.
Specifically, when the information acquisition platform collects smoking conditions of users, the information acquisition platform shall acquire whether smoking, the age of smoking and second-hand smoking contact problems.
By the technical scheme, smoking destroys the airway mucosa and is a dangerous factor of asthma, and smoking affects the curative effect of inhaled medicines, so that the smoking is an additional injury, namely the smoking is an injury, and the influence on the curative effect is an additional injury, so that acquisition of the problems of smoking, smoking age and second-hand smoking contact of a survey user is an important step for guaranteeing subsequent treatment.
Specifically, when collecting user tumor factors, the information collection platform mainly collects whether the user has respiratory system primary and metastatic tumors and precancerous lesion conditions and chest and lung nodule development conditions.
According to the technical scheme, the primary tumor is most common in bronchus cancer, and the metastatic tumor of the lung is frequently multiple, and the primary disease focus is frequently found in gastrointestinal tracts, genitourinary organs, mammary glands, skin, bones and the like, so that registration of cancer conditions is also important content of subsequent treatment analysis, and for precancerous lesions, especially lung nodules, clear registration of the size, boundary definition, quantity and position of ground glass nodules, solid nodules and mixed nodules is facilitated, and subsequent data analysis and management are facilitated.
Specifically, when the information acquisition platform collects environmental factors, the information acquisition platform mainly analyzes and acquires the environmental factors according to the working environment conditions of the user.
By the technical scheme, workers in environments such as cement, tobacco, coal dust, flour or chemical substances and the like have the advantages that nasal mucosa is stimulated and damaged by physical and chemical factors, chronic rhinitis and environments with rapid temperature and humidity changes, such as workshop workers for steelmaking, freezing, baking and melting and the like are more prone to respiratory system infection, and therefore, the working environment is also an important relevant factor for respiratory system disease induction.
Specifically, when collecting bacterial infection factors, the information collection platform is mainly used for collecting the development conditions of common respiratory diseases such as pneumonia, pharyngitis and tonsils caused by bacterial infection.
By the technical scheme, bacterial infection can directly invade or secondary to viral infection, and is most commonly treated by hemolytic streptococcus, secondarily pneumococcus, staphylococcus and haemophilus influenzae, and even is gram-negative bacillus, and the infection is mainly pharyngitis or tonsillitis, so that the monitoring of the infectious diseases is beneficial to the management and control of the epidemic situation of the large disease during analysis.
Specifically, the data storage module comprises a data arrangement unit and a data processing unit, wherein the data arrangement unit is used for classifying and arranging personal information of different users, namely classifying and arranging household environmental factors, smoking conditions, tumor factors, environmental factors and bacterial infection factors which comprise five factors inducing respiratory diseases, the data processing unit is used for classifying and processing the classified and arranged information, the classified and processed level is respectively high-risk level, medium-risk level and low-risk level according to the development degree of the five factors inducing respiratory diseases, the data processing unit can upload the classified information to the cloud storage module for storage, and redundant information is reserved in the data storage module.
Specifically, the information feedback module is used for feeding back the danger level to the intelligent terminal, and providing conditions for using the oxyhydrogen treatment equipment and a reserved use window on the intelligent terminal.
Example two
The embodiment is a specific implementation mode of a big data analysis platform of a big data platform for respiratory disease whole-flow management oxyhydrogen treatment
The big data analysis platform comprises a data processing module, a data storage module, a cloud storage module and an information feedback module, wherein the data storage module is used for fully storing information uploaded by the information acquisition platform, and the data processing module is used for analyzing and sorting the information uploaded by the information acquisition platform, screening out useful information and uploading the useful information to the cloud storage module for storage.
Example III
The embodiment is a specific implementation mode of an information acquisition platform of a respiratory disease whole-flow management oxyhydrogen treatment big data platform
The information acquisition platform comprises five aspects, namely household environmental factors, smoking conditions, tumor factors, environmental factors and bacterial infection factors;
the information acquisition platform is mainly used for acquiring allergens when collecting household environmental factors of users;
when the information acquisition platform collects smoking conditions of users, the information acquisition platform shall acquire whether smoking, the age of smoking and the contact problem of second hand smoking;
the information acquisition platform is mainly used for acquiring whether a user has respiratory system primary and metastatic tumors and precancerous lesion conditions and chest and lung nodule development conditions when collecting tumor factors of the user;
when the information acquisition platform collects environmental factors, the information acquisition platform mainly analyzes and acquires the environmental factors according to the working environment conditions of the user;
when collecting bacterial infection factors, the information acquisition platform is mainly used for collecting the development conditions of common respiratory diseases such as pneumonia, pharyngitis and tonsils caused by bacterial infection.
Example IV
The embodiment is a specific implementation mode of a data storage module of a big oxyhydrogen treatment data platform for respiratory disease whole-flow management
The data storage module comprises a data arrangement unit and a data processing unit, wherein the data arrangement unit is used for classifying personal information of different users, namely classifying and arranging five factors including household environmental factors, smoking conditions, tumor factors, environmental factors and bacterial infection factors which induce respiratory diseases, the data processing unit is used for classifying and processing the classified and arranged information, the classified and processed level is respectively high-risk level, medium-risk level and low-risk level according to the development degree of the five factors which induce respiratory diseases, the data processing unit can upload the classified information to the cloud storage module for storage, and redundant information is reserved in the data storage module.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations may be made therein without departing from the principles and spirit thereof, the scope of which is defined in the appended claims and their equivalents.
Claims (9)
1. Respiratory disease whole process management oxyhydrogen treatment big data platform, including big data analysis platform, information acquisition platform, intelligent terminal and oxyhydrogen treatment facility, its characterized in that:
the information acquisition platform is used for acquiring various body health data indications of the user and uploading the acquired health data to the big data analysis platform;
the big data analysis platform comprises a data processing module, a data storage module, a cloud storage module and an information feedback module, wherein the data storage module is used for fully storing the information uploaded by the information acquisition platform, and the data processing module is used for analyzing and sorting the information uploaded by the information acquisition platform, screening out useful information and uploading the useful information to the cloud storage module for storage;
the intelligent terminal is used for uploading self health information to the big data analysis platform by a user and receiving feedback information given by the information feedback module in the big data analysis platform;
the oxyhydrogen treatment equipment is connected with a data processing module and an information feedback module in the big data analysis platform, and the use of the oxyhydrogen treatment equipment is authorized by the information feedback module.
2. The respiratory disease whole-flow management oxyhydrogen therapy big data platform according to claim 1, characterized in that: the information acquisition platform comprises five aspects, namely household environmental factors, smoking conditions, tumor factors, environmental factors and bacterial infection factors.
3. The respiratory disease whole-flow management oxyhydrogen therapy big data platform according to claim 2, characterized in that: the information acquisition platform is mainly used for acquiring allergens when collecting household environmental factors of users.
4. The respiratory disease whole-flow management oxyhydrogen therapy big data platform according to claim 2, characterized in that: when the information acquisition platform collects smoking conditions of users, the information acquisition platform shall acquire whether smoking, the age of smoking and second-hand smoking contact problems.
5. The respiratory disease whole-flow management oxyhydrogen therapy big data platform according to claim 2, characterized in that: the information acquisition platform is mainly used for acquiring whether a user has respiratory system primary and metastatic tumors and precancerous lesion conditions and chest and lung nodule development conditions when collecting tumor factors of the user.
6. The respiratory disease whole-flow management oxyhydrogen therapy big data platform according to claim 2, characterized in that: when the information acquisition platform collects environmental factors, the information acquisition platform is mainly used for analyzing and acquiring the working environment conditions of the user.
7. The respiratory disease whole-flow management oxyhydrogen therapy big data platform according to claim 2, characterized in that: when collecting bacterial infection factors, the information acquisition platform is mainly used for collecting the development conditions of common respiratory diseases such as pneumonia, pharyngitis and tonsils caused by bacterial infection.
8. The respiratory disease whole-flow management oxyhydrogen therapy big data platform according to claim 1, characterized in that: the data storage module comprises a data arrangement unit and a data processing unit, wherein the data arrangement unit is used for classifying personal information of different users, namely classifying and arranging five factors including household environmental factors, smoking conditions, tumor factors, environmental factors and bacterial infection factors which induce respiratory diseases, the data processing unit is used for classifying and processing the classified and arranged information, the classified and processed level is respectively high-risk level, medium-risk level and low-risk level according to the development degree of the five factors which induce respiratory diseases, the data processing unit can upload the classified information to the cloud storage module for storage, and redundant information is reserved in the data storage module.
9. The respiratory disease whole-flow management oxyhydrogen therapy big data platform according to claim 1, characterized in that: the information feedback module is used for feeding back the danger level to the intelligent terminal and giving out conditions for using the oxyhydrogen treatment equipment and a reserved use window on the intelligent terminal.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117173613A (en) * | 2023-09-15 | 2023-12-05 | 中国铁路广州局集团有限公司 | Intelligent management system and method for whole process informatization of engineering construction project |
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| CN117173613A (en) * | 2023-09-15 | 2023-12-05 | 中国铁路广州局集团有限公司 | Intelligent management system and method for whole process informatization of engineering construction project |
| CN117173613B (en) * | 2023-09-15 | 2024-03-29 | 中国铁路广州局集团有限公司 | Intelligent management system and method for whole process informatization of engineering construction project |
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