CN113345567B - Patient monitoring system and intelligent monitoring control method thereof - Google Patents

Patient monitoring system and intelligent monitoring control method thereof Download PDF

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Publication number
CN113345567B
CN113345567B CN202110801690.0A CN202110801690A CN113345567B CN 113345567 B CN113345567 B CN 113345567B CN 202110801690 A CN202110801690 A CN 202110801690A CN 113345567 B CN113345567 B CN 113345567B
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monitoring
terminal
patient
data
control method
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CN113345567A (en
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金子
陈良
谷琦琦
邱新光
张增梅
徐海莉
毛宏伟
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First Affiliated Hospital of Zhengzhou University
Zhengzhou Institute of Technology
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First Affiliated Hospital of Zhengzhou University
Zhengzhou Institute of Technology
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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
    • G16H40/20ICT 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
    • 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
    • G16H40/40ICT 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 of medical equipment or devices, e.g. scheduling maintenance or upgrades
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

Abstract

The invention discloses a patient monitoring system and an intelligent monitoring control method thereof, wherein the patient monitoring system comprises: the monitoring device comprises a monitoring device, a first terminal and a second terminal; the display panel, the monitoring center and the big data platform; the monitoring equipment acquires human body state data in real time, sends the human body state data to the monitoring center, carries out data cleaning processing by the monitoring center and then sends the data to the big data platform, and the big data platform comprehensively considers the human body state data and the patient medical record, automatically generates a monitoring report and pushes the monitoring report to the first terminal; the monitoring device can automatically identify the current application situation and intelligently adjust the sound size and the display brightness of the monitoring device; the monitoring device can identify whether a doctor reads the monitoring report or not, comprehensively consider the illness state of the patient, and select whether to broadcast the monitoring report summary on site or not, so that the doctor is prevented from missing to view the monitoring data.

Description

Patient monitoring system and intelligent monitoring control method thereof
Technical Field
The invention relates to the technical field of intelligent control of monitoring equipment, in particular to an intelligent monitoring control method of a monitoring system.
Background
The monitoring device is a device for monitoring the physiological state data of the human body in real time, can display the monitoring data in real time, and plays an abnormal alarm when the monitoring data is abnormal. In addition, monitoring devices often need to emit alert tones at intervals.
However, the sound sizes of the alarm sound and the prompt sound of the current monitoring device are generally constant, and cannot meet the complex environmental requirements. For example, in an outdoor ambulance, because environmental noise is large, in order to clearly understand the monitoring state, the monitoring device needs to be able to make a large sound; in the ward, when the patient enters a rest state and the illness state is stable, the monitoring equipment needs to make a small sound so as not to influence the rest recovery of the patient. The existing monitoring device cannot be intelligently adjusted according to different application situations. In addition, the adjustment of the screen display brightness of the monitoring device cannot be intelligently adjusted according to environmental changes.
Moreover, the monitoring device is often complicated to operate, many medical staff cannot completely master the operation method, and if manual adjustment is relied on, the efficiency is too low.
In addition, most of the existing monitoring devices are independently arranged and are not organically integrated with the whole monitoring system, and medical staff can observe the monitoring condition only when the medical staff reaches the monitoring device on site. Some monitoring devices can communicate with medical staff remotely and send monitoring data to a remote end where the medical staff is located in real time, but the monitoring data usually contains a large amount of complicated data, and the monitoring data cannot be accurately known because the medical staff has huge workload and is likely to be busy in operations or other matters and can not be automatically checked.
Disclosure of Invention
The invention aims to: in view of the above problems, the present invention provides a patient monitoring system and an intelligent monitoring control method applied to the patient monitoring system.
The technical scheme is as follows: in order to achieve the purpose of the invention, the technical scheme adopted by the invention is a patient monitoring system, which comprises monitoring equipment, a first terminal, a second terminal, a display panel, a monitoring center and a big data platform;
the monitoring equipment comprises a human body monitoring part, an identification judging part and an adjustment executing part; the identification judging part comprises a light intensity sensing part, a position detecting part, a vibration detecting part, a sound detecting part, a time detecting part and a monitoring camera shooting part; the adjusting execution part comprises a playing part and a display part;
the first terminal is a portable terminal carried by a doctor and is used for receiving a monitoring report pushed by the big data platform;
the second terminal is carried by a patient and is used for acquiring human body state data in real time;
the display panel is arranged at the ward entrance and used for displaying reminding information;
the monitoring center is arranged at the comprehensive hospital control center and is used for acquiring monitoring data and processing the data;
the big data platform is a provincial or municipal regional big data platform.
Preferably, the position detecting unit employs a GPS sensing unit or an indoor positioning sensing unit.
The invention also provides an intelligent monitoring control method applied to the patient monitoring system, which comprises the following steps:
step s1, the monitoring equipment acquires human body state data in real time through a human body monitoring part and a second terminal carried by a patient and sends the human body state data to a monitoring center;
step s11, the monitoring center performs data cleaning treatment and then sends the data to the big data cloud platform;
step s12, the big data platform comprehensively considers the human body state data and the patient medical history, automatically generates a monitoring report and pushes the monitoring report to the first terminal; the first terminal is a portable terminal carried by a doctor;
step s2, the identification judging part judges whether the monitoring equipment is in a ward according to the information of the position detecting part, if yes, the step s21 is entered, and if not, the step s4 is entered;
step s21, the identification judging part judges whether the current habit resting time is in the habit resting time according to the habit data of the patient and the time detection module, if yes, the step s22 is counted, otherwise, the step s4 is entered;
step s22, the identification judging part judges whether the curtain and the illuminating lamp are closed currently according to the light intensity sensing part, if yes, the step s23 is counted, otherwise, the step s4 is entered;
step s23, the adjusting executing part adjusts the playing part and the display part, and reduces the volume and the display brightness of the prompt tone to a first preset range; sending out a rest reminding message to the display panel, and entering into step s3;
step s3, the identification judging part judges whether a person accesses the ward through the monitoring camera part, if yes, the step s31 is entered, and if not, the step s4 is entered;
step S31, the identification judging part judges the distance between the first terminal and the monitoring equipment, when the distance between the first terminal and the monitoring equipment is smaller than a first preset distance, the doctor checks the room at the moment, the adjusting executing part adjusts the playing part and the display part, and the volume and the display brightness of the prompt tone are improved to a third preset range; otherwise, returning to the step s1;
step s32, judging whether the monitoring report sent to the first terminal by the big data platform is in a read state, if so, returning to the step s1, and if not, acquiring the disease grade by the content of the monitoring report;
if the disease level is the first level, the current patient state tends to be stable and no abnormal data exists, an adjusting executing part is not required to be adjusted, and the step s1 is returned;
if the disease level is two or more levels, which indicates that the disease is repeated or the human body monitoring data is abnormal, the adjusting and executing part adjusts the playing part and the display part, improves the volume and the display brightness of the prompting sound to a third preset range, automatically broadcasts the summary content of the monitoring report on site, and displays key information on the display part, thereby avoiding that a doctor does not look over the monitoring report due to busy business, and returning to the step s1;
step s4, the identification judging part judges whether the monitoring equipment is in an operating room according to the position detecting part, if so, the adjusting executing part adjusts the playing part and the display part, and the volume and the display brightness of the prompt tone are improved to a fourth preset range; if not, returning to the step s1;
step s5, the identification judging part judges whether the monitoring equipment is outdoors according to the position detecting part, if yes, the step s51 is entered, otherwise, the step s1 is returned;
step s51, the identification judging part obtains the moving speed through differential calculation according to the position information obtained by the position detecting part, judges whether the moving speed is greater than a first speed threshold, if so, judges that the monitoring device is in an ambulance, and enters step s52, otherwise, returns to step s1;
step s52, the adjustment executing unit adjusts the playing unit and the display unit, increases the volume and the display brightness of the alert tone to a fifth preset range, and returns to step s1.
Preferably, the identification judging part further includes a sound detecting part, and step s51 further includes judging that the monitoring device is in the ambulance if the ambulance siren is detected.
Preferably, the step of the intelligent monitoring control method further includes generating a first monitoring invalidation signal when the monitoring center cannot receive the data information of the human body monitoring part for a first preset time length; and generating a second monitoring invalid signal when the monitoring center cannot receive the data information of the second terminal for a preset time length.
Preferably, when the first monitoring disable signal is present and the second monitoring disable signal is absent, then the patient is determined to be briefly away from the hospital bed but still within the hospital bed; in the event that both the first monitoring disable signal and the second monitoring disable signal are present, then the patient is determined to be away from the patient room.
Preferably, the monitoring center may remotely activate the monitoring camera for viewing the patient's condition in real time.
Preferably, the intelligent monitoring control method further comprises the step of judging that the patient leaves the ward under the condition that the first monitoring invalid signal and the second monitoring invalid signal exist, wherein the monitoring center automatically and remotely starts the monitoring camera part and sends the collected video data information to the big data platform for storage so as to be convenient for confirming the condition of the patient subsequently.
Preferably, the intelligent monitoring control method further comprises the step of sending abnormal reminding information to the first terminal when the monitoring center automatically and remotely starts the monitoring camera, and the first terminal can remotely retrieve video information stored in the big data platform.
Preferably, the intelligent monitoring control method further includes that the first terminal can execute the elimination operation after confirming the abnormal reminding information.
Compared with the prior art, the invention has the following beneficial effects:
1. the monitoring equipment, the first terminal, the second terminal, the display panel, the monitoring center and the big data platform together form an organic combined monitoring system which can analyze and process real-time monitoring data to form a monitoring report and send the monitoring report to medical staff, so that doctors can quickly and accurately know the monitoring condition without checking a great deal of complicated monitoring data.
2. The monitoring equipment can automatically judge whether a doctor reads the monitoring report or not, and when judging that the doctor does not read the monitoring report, the monitoring equipment judges whether the summary content and key information of the monitoring report are automatically broadcasted and displayed on site or not by comprehensively considering the condition of a patient when the doctor checks the ward according to the distances between the camera and the monitoring equipment and the first terminal, so that the doctor is prevented from missing the information.
3. The monitoring device can automatically identify different application situations, and automatically and intelligently adjust the sound size and the display brightness of the monitoring device according to the change of the application situations.
4. The monitoring device intelligently judges whether the patient is in a ward and needs to rest, if so, the volume of the prompt tone and the display brightness are automatically reduced, so that the influence on the rest and recovery of the patient is avoided. The monitoring device can intelligently judge whether the patient is in an operating room or an ambulance, so that the volume of the prompting sound is automatically increased, and medical staff can clearly observe the monitored data.
Drawings
FIG. 1 is a schematic diagram of a monitoring system;
FIG. 2 is a schematic diagram of a monitoring device;
fig. 3 is a flow chart of an intelligent monitoring control method of the monitoring system.
Detailed Description
The technical scheme of the invention is further described below with reference to the accompanying drawings and examples.
1-2, a patient monitoring system of the present invention includes a monitoring device, a first terminal, a second terminal, a display panel, a monitoring center, and a big data platform;
the monitoring equipment comprises a human body monitoring part, an identification judging part and an adjustment executing part; the identification judging part comprises a light intensity sensing part, a position detecting part, a vibration detecting part, a sound detecting part, a time detecting part and a monitoring camera shooting part; the adjusting execution part comprises a playing part and a display part;
the first terminal is a portable terminal carried by a doctor and is used for receiving a monitoring report pushed by the big data platform;
the second terminal is carried by a patient and is used for acquiring human body state data in real time;
the display panel is arranged at the ward entrance and used for displaying reminding information;
the monitoring center is arranged at the comprehensive hospital control center and is used for acquiring monitoring data and processing the data;
the big data platform is a provincial or municipal regional big data platform.
Preferably, the position detecting unit employs a GPS sensing unit or an indoor positioning sensing unit.
As shown in fig. 3, an intelligent monitoring control method applied to the patient monitoring system in the present invention includes the following steps:
step s1, the monitoring equipment acquires human body state data in real time through a human body monitoring part and a second terminal carried by a patient and sends the human body state data to a monitoring center;
step s11, the monitoring center performs data cleaning treatment and then sends the data to the big data cloud platform;
step s12, the big data platform comprehensively considers the human body state data and the patient medical history, automatically generates a monitoring report and pushes the monitoring report to the first terminal; the first terminal is a portable terminal carried by a doctor;
step s2, the identification judging part judges whether the monitoring equipment is in a ward according to the information of the position detecting part, if yes, the step s21 is entered, and if not, the step s4 is entered;
step s21, the identification judging part judges whether the current habit resting time is in the habit resting time according to the habit data of the patient and the time detection module, if yes, the step s22 is counted, otherwise, the step s4 is entered;
step s22, the identification judging part judges whether the curtain and the illuminating lamp are closed currently according to the light intensity sensing part, if yes, the step s23 is counted, otherwise, the step s4 is entered;
step s23, the adjusting executing part adjusts the playing part and the display part, and reduces the volume and the display brightness of the prompt tone to a first preset range; sending out a rest reminding message to the display panel, and entering into step s3;
step s3, the identification judging part judges whether a person accesses the ward through the monitoring camera part, if yes, the step s31 is entered, and if not, the step s4 is entered;
step S31, the identification judging part judges the distance between the first terminal and the monitoring equipment, when the distance between the first terminal and the monitoring equipment is smaller than a first preset distance, the doctor checks the room at the moment, the adjusting executing part adjusts the playing part and the display part, and the volume and the display brightness of the prompt tone are improved to a third preset range; otherwise, returning to the step s1;
step s32, judging whether the monitoring report sent to the first terminal by the big data platform is in a read state, if so, returning to the step s1, and if not, acquiring the disease grade by the content of the monitoring report;
if the disease level is the first level, the current patient state tends to be stable and no abnormal data exists, an adjusting executing part is not required to be adjusted, and the step s1 is returned;
if the disease level is two or more levels, which indicates that the disease is repeated or the human body monitoring data is abnormal, the adjusting and executing part adjusts the playing part and the display part, improves the volume and the display brightness of the prompting sound to a third preset range, automatically broadcasts the summary content of the monitoring report on site, and displays key information on the display part, thereby avoiding that a doctor does not look over the monitoring report due to busy business, and returning to the step s1;
step s4, the identification judging part judges whether the monitoring equipment is in an operating room according to the position detecting part, if so, the adjusting executing part adjusts the playing part and the display part, and the volume and the display brightness of the prompt tone are improved to a fourth preset range; if not, returning to the step s1;
step s5, the identification judging part judges whether the monitoring equipment is outdoors according to the position detecting part, if yes, the step s51 is entered, otherwise, the step s1 is returned;
step s51, the identification judging part obtains the moving speed through differential calculation according to the position information obtained by the position detecting part, judges whether the moving speed is greater than a first speed threshold, if so, judges that the monitoring device is in an ambulance, and enters step s52, otherwise, returns to step s1;
step s52, the adjustment executing unit adjusts the playing unit and the display unit, increases the volume and the display brightness of the alert tone to a fifth preset range, and returns to step s1.
The identification judgment part further includes a sound detection part, and step s51 further includes judging that the monitoring device is in the ambulance if the ambulance siren is detected.
The intelligent monitoring control method further comprises the step of generating a first monitoring invalid signal when the monitoring center cannot receive the data information of the human body monitoring part and reaches a first preset time length; and generating a second monitoring invalid signal when the monitoring center cannot receive the data information of the second terminal for a preset time length.
When the first monitoring invalid signal is provided and the second monitoring invalid signal is not provided, judging that the patient leaves the sickbed briefly and is still in the sickbed; in the event that both the first monitoring disable signal and the second monitoring disable signal are present, then the patient is determined to be away from the patient room.
The monitoring center can remotely start the monitoring camera part for checking the condition of the patient in real time.
The intelligent monitoring control method further comprises the steps that under the condition that the first monitoring invalid signal and the second monitoring invalid signal exist, the patient is judged to leave the ward, the monitoring center automatically and remotely starts the monitoring camera part, and the collected video data information is sent to the big data platform for storage, so that the condition of the patient can be confirmed later.
The intelligent monitoring control method further comprises the step of sending abnormal reminding information to the first terminal when the monitoring center automatically and remotely starts the monitoring camera, and the first terminal can remotely call video information stored in the big data platform.
The intelligent monitoring control method further comprises the step that the first terminal can execute elimination operation after confirming the abnormal reminding information.
The monitoring center is provided with a man-machine interaction interface, and an administrator can set the system through the man-machine interaction interface and adjust various preset parameter values, so that the system can be better adapted to different environments. The big data platform can analyze the stored data, and periodically send the data report to the first terminal, so that doctors can conveniently master the whole data. The first terminal and the second terminal have a direct communication function, so that direct information transmission between doctors and patients is facilitated, the working efficiency is improved, and information can be directly transmitted to the doctors when the patients feel abnormal.
The monitoring equipment, the first terminal, the second terminal, the display panel, the monitoring center and the big data platform together form an organic combined monitoring system which can analyze and process real-time monitoring data to form a monitoring report and send the monitoring report to medical staff, so that doctors can quickly and accurately know the monitoring condition without checking a great deal of complicated monitoring data.
The monitoring equipment can automatically judge whether a doctor reads the monitoring report or not, and when judging that the doctor does not read the monitoring report, the monitoring equipment judges whether the summary content and key information of the monitoring report are automatically broadcasted and displayed on site or not by comprehensively considering the condition of a patient when the doctor checks the ward according to the distances between the camera and the monitoring equipment and the first terminal, so that the doctor is prevented from missing the information.
The monitoring device can automatically identify different application situations, and automatically and intelligently adjust the sound size and the display brightness of the monitoring device according to the change of the application situations.
The monitoring device intelligently judges whether the patient is in a ward and needs to rest, if so, the volume of the prompt tone and the display brightness are automatically reduced, so that the influence on the rest and recovery of the patient is avoided. The monitoring device can intelligently judge whether the patient is in an operating room or an ambulance, so that the volume of the prompting sound is automatically increased, and medical staff can clearly observe the monitored data.

Claims (7)

1. The intelligent monitoring control method applied to the patient monitoring system comprises monitoring equipment, a first terminal, a second terminal, a display panel, a monitoring center and a big data platform; the monitoring equipment comprises a human body monitoring part, an identification judging part and an adjustment executing part; the identification judging part comprises a light intensity sensing part, a position detecting part, a vibration detecting part, a sound detecting part, a time detecting part and a monitoring camera shooting part; the adjusting execution part comprises a playing part and a display part; the first terminal is a portable terminal carried by a doctor and is used for receiving a monitoring report pushed by the big data platform; the second terminal is carried by a patient and is used for acquiring human body state data in real time; the display panel is arranged at the ward entrance and used for displaying reminding information; the monitoring center is arranged at the comprehensive hospital control center and is used for acquiring monitoring data and processing the data; the big data platform is a provincial or municipal regional big data platform;
the intelligent monitoring control method comprises the following steps:
step s1, the monitoring equipment acquires human body state data in real time through a human body monitoring part and a second terminal carried by a patient and sends the human body state data to a monitoring center;
step s11, the monitoring center performs data cleaning treatment and then sends the data to the big data cloud platform;
step s12, the big data platform comprehensively considers the human body state data and the patient medical history, automatically generates a monitoring report and pushes the monitoring report to the first terminal; the first terminal is a portable terminal carried by a doctor;
step s2, the identification judging part judges whether the monitoring equipment is in a ward according to the information of the position detecting part, if yes, the step s21 is entered, and if not, the step s4 is entered;
step s21, the identification judging part judges whether the current habit resting time is in the habit resting time according to the habit data of the patient and the time detection module, if yes, the step s22 is counted, otherwise, the step s4 is entered;
step s22, the identification judging part judges whether the curtain and the illuminating lamp are closed currently according to the light intensity sensing part, if yes, the step s23 is counted, otherwise, the step s4 is entered;
step s23, the adjusting executing part adjusts the playing part and the display part, and reduces the volume and the display brightness of the prompt tone to a first preset range; sending out a rest reminding message to the display panel, and entering into step s3;
step s3, the identification judging part judges whether a person accesses the ward through the monitoring camera part, if yes, the step s31 is entered, and if not, the step s4 is entered;
step S31, the identification judging part judges the distance between the first terminal and the monitoring equipment, when the distance between the first terminal and the monitoring equipment is smaller than a first preset distance, the doctor checks the room at the moment, the adjusting executing part adjusts the playing part and the display part, and the volume and the display brightness of the prompt tone are improved to a third preset range; otherwise, returning to the step s1;
step s32, judging whether the monitoring report sent to the first terminal by the big data platform is in a read state, if so, returning to the step s1, and if not, acquiring the disease grade by the content of the monitoring report;
if the disease level is the first level, the current patient state tends to be stable and no abnormal data exists, an adjusting executing part is not required to be adjusted, and the step s1 is returned;
if the disease level is two or more levels, which indicates that the disease is repeated or the human body monitoring data is abnormal, the adjusting and executing part adjusts the playing part and the display part, improves the volume and the display brightness of the prompting sound to a third preset range, automatically broadcasts the summary content of the monitoring report on site, and displays key information on the display part, thereby avoiding that a doctor does not look over the monitoring report due to busy business, and returning to the step s1;
step s4, the identification judging part judges whether the monitoring equipment is in an operating room according to the position detecting part, if so, the adjusting executing part adjusts the playing part and the display part, and the volume and the display brightness of the prompt tone are improved to a fourth preset range; if not, returning to the step s1;
step s5, the identification judging part judges whether the monitoring equipment is outdoors according to the position detecting part, if yes, the step s51 is entered, otherwise, the step s1 is returned;
step s51, the identification judging part obtains the moving speed through differential calculation according to the position information obtained by the position detecting part, judges whether the moving speed is greater than a first speed threshold, if so, judges that the monitoring device is in an ambulance, and enters step s52, otherwise, returns to step s1;
step s52, the adjusting executing part adjusts the playing part and the display part, improves the volume and the display brightness of the prompt tone to a fifth preset range, and returns to step s1;
the intelligent monitoring control method further comprises the step of generating a first monitoring invalid signal when the monitoring center cannot receive the data information of the human body monitoring part and reaches a first preset time length; generating a second monitoring invalid signal when the monitoring center cannot receive the data information of the second terminal and the preset time length is reached;
when the first monitoring invalid signal is provided and the second monitoring invalid signal is not provided, judging that the patient leaves the sickbed briefly and is still in the sickbed; in the event that both the first monitoring disable signal and the second monitoring disable signal are present, then the patient is determined to be away from the patient room.
2. The intelligent monitoring control method according to claim 1, characterized in that: the position detecting unit adopts a GPS sensing unit or an indoor positioning sensing unit.
3. The intelligent monitoring control method according to claim 2, characterized in that: the identification judgment part further includes a sound detection part, and step s51 further includes judging that the monitoring device is in the ambulance if the ambulance siren is detected.
4. The intelligent monitoring control method according to claim 3, characterized in that: the monitoring center can remotely start the monitoring camera part for checking the condition of the patient in real time.
5. The intelligent monitoring control method according to claim 4, wherein: the intelligent monitoring control method further comprises the steps that under the condition that the first monitoring invalid signal and the second monitoring invalid signal exist, the patient is judged to leave the ward, the monitoring center automatically and remotely starts the monitoring camera part, and the collected video data information is sent to the big data platform for storage, so that the condition of the patient can be confirmed later.
6. The intelligent monitoring control method according to claim 5, characterized in that: the intelligent monitoring control method further comprises the step of sending abnormal reminding information to the first terminal when the monitoring center automatically and remotely starts the monitoring camera, and the first terminal can remotely call video information stored in the big data platform.
7. The intelligent monitoring control method according to claim 6, wherein: the intelligent monitoring control method further comprises the step that the first terminal can execute elimination operation after confirming the abnormal reminding information.
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