CN111627548B - Overwater medical monitoring system and method based on Internet of things - Google Patents

Overwater medical monitoring system and method based on Internet of things Download PDF

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CN111627548B
CN111627548B CN202010450520.8A CN202010450520A CN111627548B CN 111627548 B CN111627548 B CN 111627548B CN 202010450520 A CN202010450520 A CN 202010450520A CN 111627548 B CN111627548 B CN 111627548B
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data
processing module
module
body data
abnormal
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CN111627548A (en
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刘中民
韩宁
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Chongqing Dongdeng Technology Co ltd
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Chongqing Dongdeng Technology Co ltd
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    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00ICT 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
    • G16H40/60ICT 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
    • G16H40/67ICT 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 for remote operation
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/0002Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
    • A61B5/0015Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by features of the telemetry system
    • A61B5/0022Monitoring a patient using a global network, e.g. telephone networks, internet
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/02Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/021Measuring pressure in heart or blood vessels
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/145Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
    • A61B5/14542Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue for measuring blood gases
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/74Details of notification to user or communication with user or patient ; user input means
    • A61B5/746Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01DMEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D21/00Measuring or testing not otherwise provided for
    • G01D21/02Measuring two or more variables by means not covered by a single other subclass
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00ICT 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
    • G16H40/20ICT 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 management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment

Abstract

The invention relates to the technical field of offshore medical data detection and transmission, in particular to a system and a method for aquatic medical monitoring based on the Internet of things, wherein the system comprises a monitoring end; the method comprises the following steps: monitoring the water environmental information by a monitoring end when detecting body data, judging the body data by the monitoring end and dividing the body data into abnormal data and normal data, judging the change rule of the body data of each person on the water by the monitoring end according to the environmental information, and dividing the abnormal data into normal data by the monitoring end when the body data of the person on the water with the abnormal data is the same as the change rule of the normal body data; the monitoring end records idle time periods and busy time periods of water communication, sends abnormal data to the background Internet of things server in the busy time periods, and sends normal data to the Internet of things server in the idle time periods. The invention can judge abnormal data for many times, and improve the accuracy of body data monitoring.

Description

Overwater medical monitoring system and method based on Internet of things
Technical Field
The invention relates to the technical field of offshore medical data detection and transmission, in particular to a system and a method for aquatic medical monitoring based on the Internet of things.
Background
The ocean wide coverage area, and the frequent of trade and trade across the country, the marine transportation activity of transcountry is more and more, and the number of water transport boats and ships is increased fast, and the crew number of providing service or work on the boats and ships is huge, because the way of water navigation is longer or the influence of environmental weather, the navigation time of boats and ships on water is usually longer, and if the navigation time of boats and ships probably is several months, when the crew is ill, such as wound, generate heat, heart disease, water electrolyte disorder, skin disease and diarrhea, the crew generally handles through personal life experience.
The existing remote medical monitoring system continuously collects medical data through monitoring equipment at a far end, such as heart rate, blood pressure, pulse and the like, and sends the medical data to a background server for analysis and processing, but the water environment where a user is located is complex and changeable, so that the abnormality of the medical data is easily caused, and the data collection is carried out to occupy communication resources, so that the data sending is slow or even lost, and the abnormal data cannot be found in time.
Disclosure of Invention
The invention aims to provide an Internet of things-based aquatic medical monitoring system, which is used for sending monitored data in a classified and time-sharing manner according to environmental information.
The overwater medical monitoring system based on the Internet of things comprises a monitoring end for continuously detecting body data of a plurality of overwater personnel, wherein the monitoring end monitors overwater environment information when detecting the body data, judges the body data and divides the body data into abnormal data and normal data, judges the change rule of the body data of each overwater personnel according to the environment information, and divides the abnormal data into the normal data when the body data of the overwater personnel with the abnormal data is the same as the change rule of the normal body data;
the monitoring end records idle time periods and busy time periods of water communication, sends abnormal data to the internet of things server side of the background in the busy time periods, and sends normal data to the internet of things server side in the idle time periods.
The beneficial effect of this scheme is:
monitoring body data and environmental information of personnel on water through a monitoring end, and classifying the body data, wherein abnormal data is obtained if the body data is larger than or smaller than a normal range; judging the change rule of the body data of each person on water according to the environmental information, if the blood pressure in the body data of a certain person is a change rule tending to gradually rise under the condition of reduced environmental air pressure, changing the abnormal data into normal data when the change rule of the body data of the person corresponding to the abnormal data is the same as the change rule of the body data of the person corresponding to other normal data, and improving the accuracy of body data classification; the monitoring end records idle time periods and busy time periods of the overwater communication, for example, the data volume transmitted when overwater personnel are connected with a network is recorded, abnormal data is sent in the busy time period, normal data is sent in the idle time period, the data volume sent in the busy time period is reduced, communication congestion is avoided, and the data loss rate is reduced.
Further, the monitoring end comprises a time interval module, an environment sensing module, a physical examination module, a processing module and a communication module, the time interval module is used for monitoring data volume of personnel communication on water and sending the data volume to the processing module, the environment sensing module detects environmental information on water, the environmental information comprises air pressure, temperature and humidity, wind speed and illuminance, the physical examination module is used for detecting body data of the personnel on water, the processing module acquires the environmental information and the body data, the processing module compares the body data with a preset data range, when the body data is located in the preset range, the processing module divides the body data into normal data, when the body data is located out of the preset range, the processing module divides the body data into abnormal data, and the processing module acquires change rules of the body data of each personnel on water according to the environmental information, when the change rule of the body data corresponding to the abnormal data is the same as that of the body data corresponding to the normal data, the processing module divides the abnormal data into the normal data, the processing module records the time period when the data volume is larger than the threshold value as a busy time period, the processing module sends the abnormal data to the communication module in the busy time period, the processing module records the time period when the data volume is smaller than the threshold value as an idle time period, the processing module sends the normal data to the communication module in the idle time period, and the communication module sends the body data to the service end of the internet of things.
The beneficial effects are that: the environment sensing module is used for detecting a plurality of environment parameters, the physical examination module is used for detecting physical data of personnel, after the physical data are divided into normal data and abnormal data, the abnormal data are subjected to change rule acquisition according to the environment information and comparison of the change rule, error recording caused by the environment of the abnormal data is avoided, the classified data are sent in different time intervals, and data loss caused by too much data sent at one time is avoided.
Further, the monitoring end also comprises an analysis module, the processing module acquires abnormal data and then sends an analysis signal to the analysis module, the analysis module makes a difference value on the body data of each overwater person at adjacent moments according to the analysis signal, the processing module acquires the difference value and takes the difference value as a change rule of the body data according to the positive value or negative value characteristic of the difference value, and when the change rule of the body data of the overwater person with the abnormal data is the same as that of the normal body data, the processing module divides the abnormal data into normal data.
The beneficial effects are that: the body data of each person on water at adjacent continuous acquisition moments are subjected to difference value by the analysis module, the difference value obtained by subtracting the data at the previous moment from the data at the next moment is a negative value characteristic according to the positive value or negative value characteristic of the difference value by the processing module, if the data at the previous moment is larger than the data at the next moment, the change rule of the body data of a plurality of persons is in an ascending trend if the change rule is the same, abnormal data is divided into normal data, and the accuracy of data classification is improved.
Further, when the change rules are the same, the processing module makes a difference again on the difference values of the same body data of a plurality of persons on the water to obtain the change amplitude, and when the change amplitude is smaller than the change threshold value, the processing module divides the abnormal data into normal data.
The beneficial effects are that: and (3) carrying out difference again on the difference values of the same body data of a plurality of persons with the same change rule to obtain the change amplitude, comparing the difference values of data change among the plurality of persons, judging whether the change rule is abnormal or not, and avoiding that part of data with large change is wrongly classified into normal data.
Further, the processing module judges the emergency degree of the abnormal data, and the communication module receives the reserved medical information or the real-time medical information of the service end of the internet of things according to the emergency degree of the abnormal data.
The beneficial effects are that: the emergency degree of the acquired abnormal data is judged, and then the appointment medical information or the real-time medical information is acquired according to the emergency degree of the abnormal data, so that the medical information is reasonably planned, the medical information of a background is prevented from being disturbed, and the emergency body problem is guaranteed to be solved in time.
Further, the processing module matches departments, infectious capacities and disease types of abnormal data in preset matching data, when any two items are matched, the processing module judges that the abnormal data are real-time medical information, the processing module sends request early warning information to the communication module when the real-time medical information is not acquired from the communication module within a preset time, and the communication module sends the request early warning information to the internet of things server.
The beneficial effects are that: and matching the abnormal data with preset matching data, judging the emergency degree of the abnormal data according to a matching result, and improving the accuracy of acquiring the appointment medical information and the real-time medical information.
Further, the physical examination module detects every personnel on water with the wearing formula belt the number of times of lavatory and sends to processing module, processing module judges the number of times of lavatory that has the personnel on water of abnormal data, when the number of times of lavatory is greater than quantity threshold value, processing module adds unusual label for abnormal data.
The beneficial effects are that: the number of toilet times of the overwater personnel with abnormal data is judged, if the number of toilet times of the personnel with overhigh temperature is larger than a number threshold value, the abnormal body of the personnel at the moment can be caused by diarrhea or the abnormal body also causes defecation abnormity, the external appearance of the collected personnel is used for assisting the medical monitor to facilitate subsequent disease diagnosis and treatment, and when the number of toilet times is larger, a label is added to the abnormal data, so that the accuracy of collecting all body data is improved.
Further, the processing module does not receive the toilet times within the collection time and prolongs the collection time, and the processing module suspends the sending of the abnormal data.
The beneficial effects are that: when the toilet times are not received in the collection time, the collection time is prolonged, the sending of abnormal data is suspended, and the probability of collecting the toilet times is improved.
The medical waste recovery system comprises a recovery module used for detecting whether medical waste is placed in place or not, the recovery module sends a recovery signal to a processing module when detecting medical waste, the processing module judges whether medical waste is discharged or not according to body data, the processing module obtains the recovery signal of the recovery module when judging that medical waste is discharged, and the processing module obtains contact information of physical examination personnel and sends prompt information when not receiving the recovery signal.
The beneficial effects are that: whether medical waste is discharged or not is judged according to body data, whether medical waste is recycled or not is monitored, whether medical waste is recycled or not is not recycled, a physical examination person is contacted to prompt, and pollution caused by random discharge of medical waste into water is avoided.
The aquatic medical monitoring method based on the Internet of things applies the aquatic medical monitoring system based on the Internet of things.
Drawings
Fig. 1 is a schematic block diagram of a waterborne medical monitoring system based on the internet of things according to a first embodiment of the invention;
fig. 2 is a flow chart of a waterborne medical monitoring method based on the internet of things according to an embodiment of the invention.
Detailed Description
The following is further detailed by way of specific embodiments:
example one
Aquatic medical monitoring system based on thing networking, as shown in fig. 1: the monitoring end comprises a time interval module, an environment sensing module, a physical examination module, a processing module, a communication module and an analysis module; the time interval module is in signal connection with the processing module, the time interval module receives data volume generated by using the mobile terminal by personnel on water, the mobile terminal can be a mobile phone or a notebook computer and the like, and the processing module can be a processor of I7-620LM type; the environment sensing module is in signal connection with the processing module, and the environment sensing module can adopt the existing MAX44009+ BME280 type sensing module; the physical examination module is in signal connection with the processing module, and can acquire blood pressure, heart rate, blood oxygen and the like by using the existing sensor; the communication module is connected with the processing module through signals, and the existing 4G or 5G communication module can be used as the communication module; the analysis module is connected with the processing module through signals.
On the basis of the internet-of-things-based aquatic medical monitoring system, the first embodiment further provides an internet-of-things-based aquatic medical monitoring method, as shown in fig. 2, including the following:
the physical examination module at the monitoring end is used for detecting the physical data of personnel on water, and the physical examination module can detect the physical data such as blood pressure, heart rate, pulse, blood oxygen and the like by using the conventional physical examination bracelet mode;
when body data are detected, the environmental information on water is monitored through an environmental sensing module at a monitoring end, wherein the environmental information comprises air pressure, temperature and humidity, wind speed, illumination and the like, the body data and the environmental information are obtained through a processing module at the monitoring end, the body data are compared with a preset data range through the processing module, the body data are judged and divided into abnormal data and normal data through the processing module, the abnormal data and the normal data are distinguished by comparing the body data with a normal range (a preset data range) during judgment, if blood pressure in the body data is judged to be in a normal blood pressure value range, the abnormal data are judged when the blood pressure is in the blood value range, and the abnormal data are judged when the blood pressure is smaller than the minimum value of the blood pressure value range or larger than the maximum value of the blood pressure value range;
the processing module of the monitoring end judges the change rule of the body data of each overwater person according to the environmental information, the processing module sends an analysis signal to the analysis module after acquiring abnormal data, the analysis module makes a difference value on the body data of each overwater person at adjacent moments according to the analysis signal, for example, the heart rate body data detected by the overwater person A at multiple moments are 57 times/minute, 66 times/minute, 68 times/minute, 72 times/minute and 66 times/minute, the difference values obtained by the analysis module are 9, 2, 4 and-6, the processing module acquires the difference value and takes the positive value or negative value characteristic of the difference value as the change rule of the body data, for example, the change rule of the heart rate body data of the overwater person A is positive value, positive value and negative value, when the body data of the overwater person with the abnormal data is the same as the change rule of the normal body data, namely, the change rule of the overwater person B with normal body data is a positive value, a positive value and a negative value, and the abnormal data is divided into normal data by the processing module;
when the change rules are the same, the processing module makes a difference again on the difference values of the same body data of a plurality of overwater persons to obtain the change amplitude, namely the change amplitude of the overwater person A is-7, 2 and-10, when the change amplitude is smaller than the change threshold, the change threshold can be set according to the increase amplitude of the actual heart rate, if the change threshold can be set to 20, and the processing module divides the abnormal data into normal data;
in the process of detecting body data, the data volume of personnel communication on water, idle time and busy time are monitored and recorded by a time period module on a monitoring end, for example, the monitoring end receives and records the data volume transmitted by the personnel mobile terminal (mobile phone) on water when connecting with the network, the monitoring end directly receives the data volume information when the mobile terminal is connected with the network through Bluetooth or other protocols, recording the time interval when the data quantity is larger than the threshold value as a busy time interval through the processing module, sending abnormal data to the communication module by the processing module on the monitoring end in the busy time interval, the period of time when the data volume is less than the threshold value is recorded as an idle period by the processing module, for example, the data volume is reduced after the people have a rest on water at night, the processing module can be used for recording night time periods as idle time periods and recording day time periods as busy time periods, so that the processing module can send normal data to the communication module in the idle time periods, and the body data can be sent to the internet of things server through the communication module.
In the first embodiment, after body data is divided into normal data and abnormal data, change rules are obtained according to environmental information and compared with the change rules aiming at the abnormal data part, so that error recording of the abnormal data caused by the environment is avoided, the classified data is sent at different time intervals, and data loss caused by too much data sent at one time is avoided; the body data of each overwater person at adjacent continuous acquisition moments are subjected to difference, if the data of the previous moment is larger than the data of the later moment, the difference obtained by subtracting the data of the previous moment from the data of the later moment is a negative characteristic, and when the change rules are the same, abnormal data are divided into normal data, so that the accuracy of data classification is improved; and (3) carrying out difference again on the difference values of the same body data of a plurality of persons with the same change rule to obtain the change amplitude, comparing the difference values of data change among the plurality of persons, judging whether the change rule is abnormal or not, and avoiding that part of data with large change is wrongly classified into normal data.
Example two
The difference from the first embodiment is that the emergency degree of the abnormal data is judged through the processing module, the communication module receives reserved medical information or real-time medical information of the service end of the internet of things according to the emergency degree of the abnormal data, the processing module matches departments, infectious capacities and disease types of the abnormal data in preset matching data, when any two items are matched, the processing module judges that the abnormal data are real-time medical information, when the processing module does not obtain the real-time medical information from the communication module within a preset time length, request early warning information is sent to the communication module, and the communication module sends the request early warning information to the service end of the internet of things.
According to the embodiment, the emergency degree of the acquired abnormal data is judged, and then the appointment medical information or the real-time medical information is acquired according to the abnormal data, so that the medical information is reasonably planned, the medical information of a background is prevented from being disturbed, and the emergency body problem is guaranteed to be solved in time.
EXAMPLE III
The difference with embodiment one is, let the physical examination module include wearing formula belt detect every personnel on water like the lavatory number of times and send to processing module, judge by processing module the number of times of having the personnel on water like the lavatory of abnormal data, when the number of times of using the lavatory is greater than the quantity threshold value, let processing module add unusual label for abnormal data, if processing module does not receive like the lavatory number of times extension in long time gathering, let processing module suspend the sending of abnormal data.
The wearable belt comprises a radio frequency transceiving unit, a control unit and a triggering unit for detecting loosening of the belt, the processing module comprises a radio frequency communication unit, the radio frequency transceiving unit and the radio frequency communication unit can use an existing radio frequency communication circuit, the processing module sends a starting signal to the radio frequency transceiving unit through the radio frequency communication unit when judging abnormal data, the control unit obtains the triggering signal of the triggering unit after obtaining the starting signal, the control unit can use an existing single chip to control, the control unit counts the obtained triggering signal times to obtain a counting value and sends the counting value to the radio frequency communication unit through the radio frequency transceiving unit, and the processing module judges whether the counting value is larger than a quantity threshold value.
The third on-water personnel who has abnormal data of this embodiment like the lavatory number of times to judge, like the number of times of the too high personnel of body temperature like the lavatory number of times is greater than the quantity threshold value, adds the label for abnormal data when the number of times of the lavatory is great, improves the accuracy of gathering each body data, lets abnormal data can be seen more easily.
Example four
The difference with the first embodiment is that still including being used for detecting medical waste and placing the recovery module that targets in place, send the recovery signal to processing module when detecting medical waste by recovery module, whether recovery module accessible gravity sensing detects medical waste, let processing module judge whether there is medical waste to discharge according to body data, obtain the recovery signal of recovery module when judging that there is medical waste to discharge by processing module, let processing module obtain physical examination personnel's contact information and send the prompt message when not receiving the recovery signal.
Whether medical waste is discharged or not is judged according to body data, whether medical waste is recycled or not is monitored, whether medical waste is recycled or not is not recycled, a physical examination person is contacted to prompt, and pollution caused by random discharge of medical waste into water is avoided.
The foregoing is merely an example of the present invention and common general knowledge of known specific structures and features of the embodiments is not described herein in any greater detail. It should be noted that, for those skilled in the art, without departing from the structure of the present invention, several changes and modifications can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicability of the patent. The scope of the claims of the present application shall be determined by the contents of the claims, and the description of the embodiments and the like in the specification shall be used to explain the contents of the claims.

Claims (7)

1. Medical monitoring system on water based on thing networking, including the monitoring end that detects a plurality of personnel's on water health data in succession, its characterized in that: the monitoring end monitors the water environment information when detecting body data, judges the body data and divides the body data into abnormal data and normal data, judges the change rule of the body data of each person on the water according to the environment information, and divides the abnormal data into normal data when the body data of the person on the water with the abnormal data is the same as the change rule of the normal body data;
the monitoring end records idle time periods and busy time periods of water communication, sends abnormal data to the Internet of things server side at the background in the busy time periods, and sends normal data to the Internet of things server side in the idle time periods;
the monitoring end further comprises an analysis module and a processing module, the processing module acquires abnormal data and then sends an analysis signal to the analysis module, the analysis module makes a difference value on body data of each overwater person at adjacent moments according to the analysis signal, the processing module acquires the difference value and takes the difference value as a change rule of the body data according to the positive value or negative value characteristic of the difference value, and when the change rule of the body data of the overwater person with the abnormal data is the same as that of the normal body data, the processing module divides the abnormal data into normal data; when the change rules are the same, the processing module makes a difference again on the difference values of the same body data of a plurality of persons on the water to obtain the change amplitude, and when the change amplitude is smaller than the change threshold value, the processing module divides the abnormal data into normal data; the medical waste recovery system is characterized by further comprising a recovery module used for detecting whether medical waste is placed in place or not, the recovery module sends a recovery signal to the processing module when detecting medical waste, the processing module judges whether medical waste is discharged or not according to body data, the processing module acquires the recovery signal of the recovery module when judging that medical waste is discharged, and the processing module acquires contact information of physical examination personnel and sends prompt information when not receiving the recovery signal.
2. The internet of things based aquatic medical monitoring system of claim 1, wherein: the monitoring end comprises a time period module, an environment sensing module, a physical examination module and a communication module, wherein the time period module is used for monitoring data volume of personnel communication on water and sending the data volume to a processing module, the environment sensing module is used for detecting environmental information on water, the environmental information comprises air pressure, temperature and humidity, wind speed and illuminance, the physical examination module is used for detecting body data of the personnel on water, the processing module is used for acquiring the environmental information and the body data, the processing module is used for comparing the body data with a preset data range, when the body data are located in the preset range, the processing module divides the body data into normal data, when the body data are located out of the preset range, the processing module divides the body data into abnormal data, the processing module acquires the change rule of the body data of each personnel on water according to the environmental information, when the change rule of the body data corresponding to the abnormal data is the same as the change rule of the body data corresponding to the normal data, the processing module divides the abnormal data into normal data, the processing module records a time period when the data volume is larger than a threshold value as a busy time period, the processing module sends the abnormal data to the communication module in the busy time period, the processing module records a time period when the data volume is smaller than the threshold value as an idle time period, the processing module sends the normal data to the communication module in the idle time period, and the communication module sends the body data to the service end of the Internet of things.
3. The internet of things based aquatic medical monitoring system of claim 2, wherein: the processing module judges the emergency degree of the abnormal data, and the communication module receives the reserved medical information or the real-time medical information of the service end of the Internet of things according to the emergency degree of the abnormal data.
4. The internet of things based aquatic medical monitoring system of claim 3, wherein: the processing module matches departments, infectious capacities and disease types of abnormal data in preset matching data, when any two items are matched, the processing module judges that the abnormal data are real-time medical information, the processing module sends request early warning information to the communication module when the real-time medical information is not acquired from the communication module within a preset time, and the communication module sends the request early warning information to the internet of things server.
5. The internet of things based aquatic medical monitoring system of claim 2, wherein: the health examination module detects every personnel on water with wearing formula belt like the lavatory number of times and sends to processing module, processing module judges the number of times of having the personnel on water of abnormal data like the lavatory, when the number of times of like the lavatory is greater than quantity threshold value, processing module adds unusual label for abnormal data.
6. The internet of things based aquatic medical monitoring system of claim 5, wherein: the processing module does not receive the toilet times within the acquisition time and prolongs the acquisition time, and the processing module suspends the sending of the abnormal data.
7. The aquatic medical monitoring method based on the Internet of things is characterized by comprising the following steps: physical data of personnel on water are detected through a physical examination module of a monitoring end, and environmental information on water is monitored through an environment sensing module of the monitoring end;
the body data and the environmental information are acquired by a processing module on a monitoring end, the body data is compared with a preset data range by the processing module, the body data is judged by the processing module and divided into abnormal data and normal data, the abnormal data and the normal data are distinguished by comparing the body data with the normal range during judgment, the change rule of the body data of each overwater person is judged by the processing module on the monitoring end according to the environmental information, the processing module sends an analysis signal to an analysis module after acquiring the abnormal data, the analysis module makes a difference value on the body data of each overwater person at adjacent moments according to the analysis signal, the difference value is acquired by the processing module and is used as the change rule of the body data according to the positive value or negative value characteristic of the difference value, and when the change rule of the body data of the overwater person with the abnormal data is the same as the change rule of the normal, dividing the abnormal data into normal data by a processing module;
in the process of detecting body data, monitoring and recording data volume, idle time period and busy time period of personnel communication on water through a time period module on a monitoring end, recording the time period when the data volume is larger than a threshold value as the busy time period through a processing module, sending abnormal data to a communication module by the processing module on the monitoring end in the busy time period, recording the time period when the data volume is smaller than the threshold value as the idle time period through the processing module, sending normal data to the communication module by the processing module in the idle time period, and sending the body data to an internet of things server end through the communication module;
the medical waste recovery module sends a recovery signal to the processing module when detecting medical waste, the processing module judges whether medical waste is discharged according to body data, the processing module acquires the recovery signal of the recovery module when judging that medical waste is discharged, and the processing module acquires contact information of physical examination personnel and sends prompt information when not receiving the recovery signal.
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