CN115083618A - Artificial intelligent epidemiology investigation system and method based on Internet of things - Google Patents
Artificial intelligent epidemiology investigation system and method based on Internet of things Download PDFInfo
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- CN115083618A CN115083618A CN202210547384.3A CN202210547384A CN115083618A CN 115083618 A CN115083618 A CN 115083618A CN 202210547384 A CN202210547384 A CN 202210547384A CN 115083618 A CN115083618 A CN 115083618A
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Abstract
The invention discloses an artificial intelligence epidemiology investigation system and method based on the Internet of things, wherein the system comprises: the system comprises a data acquisition module, an information processing module and a database module; the data acquisition module is used for acquiring video and voice information; the information processing module is used for carrying out structuralized processing on the acquired information and carrying out epidemiological reasoning; the database module is used for storing the data after structured processing; the method comprises the following steps: collecting video and voice information of a patient and a dispatching person; based on the collected information, performing structured processing and epidemiological reasoning; storing the data after the structured processing to a database; and finishing the whole flow regulation work based on the epidemiological reasoning result. By applying the AR technology and the AI to epidemiological investigation work, the field operation is assisted, and the operation efficiency, the quality and the safety are improved.
Description
Technical Field
The invention belongs to the field of data statistical analysis, and particularly relates to an artificial intelligent epidemiology investigation system and method based on the Internet of things.
Background
Epidemiological survey (called epidemiological survey for short) is a common means for preventing and controlling epidemic diseases, and is used for surveying the health of patients or people in close contact with the patients, mastering exposure conditions, contact conditions, activity tracks, medical conditions and the like, and comprises personal basic information, health conditions, recent journey and other information which is useful for preventing and controlling diseases. At present, information is collected mainly by means of one-to-one consultation between an investigator and an investigator, recording means mainly adopt modes of paper pens and the like, and the information is recorded into a system after the information is returned to a mechanism, so that the defects of long time consumption, high execution cost, high manual investment, high labor intensity, poor real-time interactivity and the like exist.
However, the workload of the current flow adjustment is increasingly heavy, and the improvement of the working efficiency and the realization of real-time recording and remote guidance of the flow adjustment site are particularly important. In the existing epidemiology system, the following aspects need to be assisted by an epidemiology investigation system and method based on wearable AR glasses of the Internet of things and artificial intelligence: firstly, background personnel need to transmit back images, videos and audios of objects observed from a first visual angle by field streaming personnel, and the field personnel also need to receive the images, videos and audios transmitted by the background manager to compare with the scene and receive guidance; secondly, the flow adjustment personnel know the physical conditions and the activity tracks of the flow adjustment personnel in a mode of asking and answering with the objects, hidden dangers exist in the mode mainly depending on the self-describing and on-site recording modes of the investigated objects, the risk of misjudgment of the flow adjustment personnel also exists, the rear manager cannot master the flow adjustment operation progress and the monitoring operation quality of the front flow adjustment personnel, and the defects of omission, quality failure to reach the standard and the like caused by heavy flow adjustment tasks are easy to occur; thirdly, the flow adjustment has time limitation and complexity, a plurality of points of personnel are needed to work in a remote cooperative mode sometimes, tools can be operated by two hands at any time, and the wearable device based on the internet of things and capable of liberating the two hands is needed to strengthen intellectualization, standardization, normalization, visualization and paperless of the flow adjustment operation flow, improve the flow adjustment management level, improve the operation efficiency and guarantee the accuracy and efficiency.
Disclosure of Invention
The application discloses an artificial intelligence epidemiology investigation system and method based on the Internet of things.
In order to achieve the above purpose, the invention provides the following scheme:
an artificial intelligence epidemiology investigation system based on thing networking includes: the system comprises a data acquisition module, an information processing module and a database module;
the data acquisition module is used for acquiring video and voice information of a flow regulation site to generate first data;
the information processing module is used for carrying out structuralization processing on the first data to obtain second data and carrying out epidemiology reasoning on the second data to obtain an epidemiology investigation result;
the database module is used for storing the second data.
Preferably, the data acquisition module comprises a wearable AR glasses intelligent terminal and a dialogue device, and the first data comprises a streaming scene image, voice communication between a streaming person and a background manager, and voice response information of a surveyed person;
the wearable AR glasses intelligent terminal is used for acquiring video images of a flow dispatching site and voice communication between site flow dispatching personnel and background management personnel;
the dialogue device is used for generating questions and uploading voice response information of the investigated personnel.
Preferably, the wearable AR glasses intelligent terminal comprises a power supply, a video acquisition device and a voice call device;
the power supply is used for supplying power to the wearable AR glasses intelligent terminal;
the video acquisition device is used for acquiring high-definition video images;
the voice communication device is used for voice communication between on-site flow dispatching personnel and background management personnel.
Preferably, the wearable AR glasses adopt an accessory design of a slide rail card slot.
Preferably, the information processing module comprises an AI recognition device and a knowledge base device;
the AI identification device is used for identifying and structuring the collected first data to obtain second data;
and the knowledge base device is used for carrying out epidemiological reasoning on the obtained second data to obtain an epidemiological investigation result.
Preferably, the knowledge base device comprises a machine learning module and an epidemiology knowledge base;
the machine learning module is used for establishing a machine learning algorithm;
and the epidemiology knowledge base is used for providing epidemiology related data and carrying out epidemiology reasoning on the second data based on the machine learning algorithm to obtain an epidemiology result.
Preferably, the database module is a cloud server database.
On the other hand, in order to realize the technical scheme, the invention also provides an artificial intelligence epidemiology investigation method based on the Internet of things, which comprises the following steps:
s1, collecting video and voice information of a patient and a dispatching person to generate first data;
s2, carrying out structuring processing to generate second data based on the generated first data, and carrying out epidemiological reasoning on the generated second data to obtain an epidemiological investigation result;
s3, storing the generated second data into a database;
and S4, finishing the whole flow regulation work based on the obtained epidemiological investigation result.
The invention has the beneficial effects that:
(1) the high-efficient full-flow collection of the flow modulation operation real-time information based on the first visual angle of the flow modulation personnel can be realized, and the information comprises: identity information of video, image, audio, location, streaming personnel and person under investigation;
(2) when the operation is finished, the transmission and the structured storage of the flow regulation data can be finished through AI identification, so that errors and time lag caused by re-entry are avoided;
(3) the real-time monitoring of the flow dispatching operation by background management personnel can be realized, so that the management personnel can efficiently master and guide the flow dispatching on the site without arriving at the site, and the infection probability of the personnel is reduced;
(4) the historical query and backtracking trace of the whole process operation of the dispatching operation personnel are provided, and the dispatching quality is improved;
(5) through voice and image real-time interaction, multi-user remote cooperative operation can be realized, and high-level managers can remotely guide complex and professional flow dispatching operation, so that the flow dispatching efficiency and accuracy are effectively improved.
Drawings
In order to more clearly illustrate the technical solution of the present invention, the drawings needed to be used in the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without inventive labor.
FIG. 1 is a schematic structural diagram of an artificial intelligence epidemiology investigation system based on the Internet of things;
fig. 2 is a schematic flow chart of the artificial intelligence epidemiology investigation method based on the internet of things.
Detailed Description
For better illustration of the invention, the invention will be further described with reference to the accompanying drawings and the implementation process.
Example one
In the first embodiment, as shown in fig. 1, the system for epidemiology investigation based on artificial intelligence of the internet of things mainly includes a data acquisition module, an information processing module and a database module.
The data acquisition module comprises a wearable AR glasses intelligent terminal and a conversation device and is used for acquiring basic information of personnel, namely name, gender, age, identity card number, current address, affiliated street, affiliated community and disease onset date to generate first data; the AR glasses intelligent terminal comprises a camera based on high-definition imaging, a voice communication device, a monocular adjusting lens, a bidirectional communication device and a power supply; the AR glasses intelligent terminal can adapt to the wearing requirements of frame glasses, can be worn behind a medical isolation mask or medical goggles, and can adapt to the medical isolation mask or the medical goggles by adopting the accessory design of a sliding rail clamping groove, so that the AR glasses can be suitable for the wearing requirements of different dominant eyes and different application scenes of a person in charge of adjustment; the high-definition imaging camera is used for acquiring a video image in the flow regulation process, and the acquired image is wirelessly transmitted to the intelligent control device; the voice communication device comprises a noise reduction microphone, an earphone and an external loudspeaker and is used for realizing the real-time voice interaction between the on-site flow dispatching personnel and a background manager or the voice interaction with the background manager; the monocular adjusting lens is used for presenting an interactive interface and adjusting the imaging definition according to the external illumination intensity; the two-way communication device provides audio and video stream wireless transmission in front and back, and can be cellular wireless communication or WiFi; the power is used for providing the electric energy to wearable AR glasses intelligent terminal, supports and trades the electric operation, and the built-in low capacity battery in glasses terminal makes the glasses host computer support the hot plug that 5min did not shut down.
The information processing module comprises an AI identification device and a knowledge base device, first data uploaded by the wearable AR glasses intelligent terminal and the dialogue device are processed through a natural language processing algorithm of the audio and video AI identification device to identify relevant contents such as symptoms, signs and exposure history expressed by a patient, after a flow question and answer is converted into a text, text information is extracted in a targeted manner through an information extraction algorithm, and finally the extracted information is subjected to structural processing and is converted into second data meeting relevant file specifications; the relevant file specifications refer to diagnosis and treatment schemes, operation guidelines, standards and laws and regulations related to circulation, including but not limited to novel diagnosis and treatment schemes for coronavirus pneumonia, infectious disease prevention and treatment laws of the people's republic of China, and the like; the knowledge base device comprises an epidemiology knowledge base which is established based on laws and regulations, professional documents, an infectious disease monitoring network and infectious disease diagnosis standards, and is used for establishing an epidemiology knowledge base containing epidemiology characteristics, symptoms, physical signs and laboratory detection standards of infectious diseases, establishing a model aiming at structured second data by applying a machine learning algorithm (supervised learning, reinforcement learning and unsupervised learning), comparing with the epidemiology knowledge base, carrying out intelligent reasoning, and giving out a discrimination result expressed by probability and an infectious disease prevention and control suggestion to obtain an epidemiology investigation result.
The database module is a cloud server database, is respectively connected with the data acquisition module and the information processing module, and is used for storing second data.
The artificial intelligent epidemiology investigation system based on the Internet of things comprises the following specific implementation steps:
(1) and after receiving the flow adjustment task, the flow adjustment personnel prepares the task before flow adjustment according to the corresponding flow adjustment task, and wears AR glasses and a medical isolation mask or medical goggles.
(2) Performing flow adjustment work according to the task step prompt on the AR glasses; acquiring video voice information through a high-definition imaging camera, a voice call device and a two-way communication device arranged on AR glasses to obtain first data, transmitting the first data to an information processing module, and obtaining second data through structural processing of an information processing module AI identification system; and the second data enters a knowledge base device for reasoning to obtain a flow modulation result, and the flow modulation result is transmitted to the AR glasses.
(3) The data acquisition module and the information processing module establish remote monitoring, and voice and video information of a first visual angle of a flow adjustment person is returned in real time, so that the remote assistance and supervision of experts and managers are facilitated;
(4) and video, voice and operation decisions of the dispatching personnel in the dispatching process can be stored in the database device in real time.
Example two
In the second embodiment, as shown in fig. 2, an artificial intelligence epidemiology investigation method based on the internet of things includes the following steps:
(1) collecting video and voice information of a patient and a dispatching person to generate first data;
in the embodiment, video voice information of a patient and a flow modulation person is collected through a wearable AR glasses intelligent terminal and a conversation device, and first data is generated and comprises basic information of the patient, video image information of the flow modulation site, conversation voice information between the flow modulation person and a background and conversation information between the flow modulation person and the patient;
(2) carrying out structuring processing on the generated first data to generate second data, and carrying out epidemiological reasoning on the generated second data to obtain an epidemiological investigation result;
in the embodiment, the AI identification device is used for carrying out structuring processing on the generated first data to generate second data, and the knowledge base device is used for carrying out epidemiological reasoning on the generated second data to obtain an epidemiological investigation result;
(3) storing the generated second data into a cloud server database;
(4) feeding back the obtained epidemiology investigation result to the wearable AR glasses intelligent terminal, and finishing the whole flow regulation work based on the obtained epidemiology investigation result.
The artificial intelligence epidemiology investigation system and method based on the Internet of things apply AR technology and AI to epidemiology investigation work, and aim to assist field operation and improve operation efficiency, quality and safety; the hands of the dispatching personnel are liberated, the dispatching personnel are helped to solve the difficulties in the dispatching process, and the dispatching task is completed safely and efficiently; and saving the operation record at the cloud.
The above-described embodiments are merely illustrative of the preferred embodiments of the present invention, and do not limit the scope of the present invention, and various modifications and improvements of the technical solutions of the present invention can be made by those skilled in the art without departing from the spirit of the present invention, and the technical solutions of the present invention are within the scope of the present invention defined by the claims.
Claims (8)
1. An artificial intelligence epidemiology survey system based on the Internet of things is characterized by comprising: the system comprises a data acquisition module, an information processing module and a database module;
the data acquisition module is used for acquiring video and voice information of a flow regulation site to generate first data;
the information processing module is used for carrying out structuralization processing on the first data to obtain second data and carrying out epidemiology reasoning on the second data to obtain an epidemiology investigation result;
the database module is used for storing the second data.
2. The artificial intelligence epidemiology survey system based on the internet of things of claim 1, wherein the data acquisition module comprises a wearable AR glasses intelligent terminal and a dialogue device, and the first data comprises a flow scene image, voice communication between a flow person and a background manager, and voice response information of a person under investigation;
the wearable AR glasses intelligent terminal is used for acquiring video images of a flow dispatching site and voice communication between site flow dispatching personnel and background management personnel;
the dialogue device is used for generating questions and uploading voice response information of the investigated personnel.
3. The artificial intelligence epidemiology investigation system based on the internet of things of claim 2, wherein the wearable AR glasses intelligent terminal comprises a power supply, a video acquisition device and a voice call device;
the power supply is used for supplying power to the wearable AR glasses intelligent terminal;
the video acquisition device is used for acquiring high-definition video images;
the voice communication device is used for voice communication between on-site flow dispatching personnel and background management personnel.
4. The internet of things-based artificial intelligence epidemiology survey system of claim 2, wherein the wearable AR glasses are designed with sliding rail clamping grooves.
5. The internet of things-based artificial intelligence epidemiological survey system according to claim 1, wherein the information processing module comprises an AI identification device and a knowledge base device;
the AI identification device is used for identifying and structuring the collected first data to obtain second data;
and the knowledge base device is used for carrying out epidemiological reasoning on the obtained second data to obtain an epidemiological investigation result.
6. The internet of things-based artificial intelligence epidemiological survey system of claim 5, wherein the knowledge base means comprises a machine learning module and an epidemiological knowledge base;
the machine learning module is used for establishing a machine learning algorithm;
and the epidemiology knowledge base is used for providing epidemiology related data and carrying out epidemiology reasoning on the second data based on the machine learning algorithm to obtain an epidemiology result.
7. The internet of things-based artificial intelligence epidemiology survey system of claim 1, wherein the database module is a cloud server database.
8. An artificial intelligence epidemiology investigation method based on the Internet of things is characterized by comprising the following steps:
s1, collecting video and voice information of a patient and a dispatching person to generate first data;
s2, carrying out structuring processing to generate second data based on the generated first data, and carrying out epidemiological reasoning on the generated second data to obtain an epidemiological investigation result;
s3, storing the generated second data into a database;
and S4, finishing the whole flow regulation work based on the obtained epidemiological survey result.
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