CN113053483A - System and method for regular inspection tour of inpatients based on artificial intelligence and cloud computing - Google Patents
System and method for regular inspection tour of inpatients based on artificial intelligence and cloud computing Download PDFInfo
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Abstract
The invention discloses a system and a method for regularly patrolling inpatients based on artificial intelligence and cloud computing, and the system comprises a wearable bracelet, a patrolling robot, a cloud server and terminal equipment, wherein the wearable bracelet is provided with an identification module A, a positioning module, a vital sign monitoring module and a processor module, and is connected with the patrolling robot and the cloud server through wireless communication, the patrolling robot is provided with an identification module B, a patrolling module, a walking module and a processor module, and is connected with the wearable bracelet and the cloud server through wireless communication, the cloud server is provided with a task control module, a data acquisition and storage module, a data analysis module and an information prompt and display module, and is connected with the wearable bracelet and the patrolling robot through wireless communication, and is connected with an electronic medical record of a hospital and an artificial intelligence computing module. Aiming at the problem that the nursing hierarchical patrol work cannot be effectively implemented, the invention can effectively monitor the life safety data of the patient and ensure the safety of the patient.
Description
Technical Field
The invention relates to the technical field of information security management, in particular to a system and a method for regular inspection of inpatients based on artificial intelligence and cloud computing.
Background
The safety of patients is the subject of long-term efforts of medical staff during work, the connotation of the safety of patients comprises management safety, technical safety and psychological safety, and the shortage of manpower in clinical front-line nursing of hospitals is one of the main factors influencing the safety of patients. The frequency of inspection required for graded care cannot be completely achieved by manpower alone.
In addition, frequent interruptions of the patient at night are also an obstacle to the implementation of regular rounds. The isolation of the regular patrol of the patient in the ward and the timely discovery of the patient's condition changes and adverse events caused by psychological factors also become one of the new challenges for the hospital administrator.
How to effectively implement the national nursing industry standard, the quality improvement and efficiency enhancement high-quality regular patrol work of a common ward and an isolated ward is completed, the change of the state of an illness and abnormal behaviors of a patient are found in time, and the reduction of potential safety hazards of the patient is a difficult problem in hospital management. The development of a new generation of information technology provides a new method for comprehensively implementing nursing inspection and ensuring the safety of inpatients, particularly isolated patients.
Disclosure of Invention
The invention aims to provide a system and a method for regularly patrolling inpatients based on artificial intelligence and cloud computing, aiming at the problem that nursing classified patrol work cannot be effectively implemented due to insufficient nursing manpower in certain periods, so that the problems that the state of an illness of the patients changes and abnormal behaviors are found in time, medical staff in a ward are informed to intervene immediately in real time, and the safety of the patients is guaranteed.
In order to achieve the purpose, the invention adopts the following technical scheme:
system of regularly patrolling of inpatient based on artificial intelligence and cloud calculate, including wearable bracelet, inspection robot, cloud server and terminal equipment, cloud server is wireless communication connection wearable bracelet, inspection robot and terminal equipment respectively, wherein wearable bracelet with inspection robot passes through wireless communication connection and matches.
In order to optimize the technical scheme, the specific measures adopted further comprise:
further, the wearable bracelet comprises an identification module A, a positioning module, a vital sign monitoring module and a wearable bracelet processor module;
the identification module A stores basic information of a patient when the patient is admitted, and after the wearable bracelet and the inspection robot are successfully matched with each other, the identification module A uploads the basic information of the patient to the cloud server through the wearable bracelet processor module;
the positioning module acquires positioning information of a wearable bracelet wearer, and after the wearable bracelet is successfully matched with the inspection robot, the positioning information of the wearable bracelet wearer is uploaded to the cloud server through the wearable bracelet processor module, wherein the wearable bracelet wearer is a patient;
the vital sign monitoring module automatically monitors vital sign information of a patient in real time, and after the wearable bracelet is successfully matched with the inspection robot, the vital sign information of the patient is uploaded to the cloud server through the wearable bracelet processor module;
the wearable bracelet processor module interprets and cooperates with instructions among modules in the wearable bracelet and processes data.
Further, the basic information of the patient comprises name, gender, age, identification number, hospital number, ward number and bed number;
the positioning module adopts one of base station, WIFI, Bluetooth and 3D positioning to perform positioning, and the 3D positioning refers to omnibearing positioning of longitude, latitude and height;
the positioning information comprises world uniform time, a prediction ephemeris file and current positioning coordinate information;
the vital sign monitoring module comprises a body temperature monitoring module, a pulse monitoring module, a blood pressure monitoring module, a respiration monitoring module and an oxygen saturation monitoring module.
Further, the patrol robot comprises an identification module B, a patrol module, a walking module and a patrol robot processor module;
the identification module B downloads basic information of the patient from the cloud server in real time through the patrol robot processor module, confirms the identity of the patient through the comparison of the basic information of the patient recorded by the identification module A and the wireless communication, and uploads the basic information of the patient which is not matched in the single patrol list to the cloud server through the patrol robot processor module; the walking module comprises a driving device, a track and an automatic charging module, wherein the driving device moves in the track through a driving wheel and a guide wheel, the track can be freely designed according to the specific environment of a ward, the track surrounds the moving range of a patient in the ward, and is laid into a closed-loop line in a plurality of wards and public areas of the ward, so that the patrol robot can move according to the track, and the recognition and image locking functions of the patrol robot are triggered by presetting sites in the track; the automatic charging module comprises a charging seat and a charging trigger device, wherein the charging seat is connected with the track, and when the inspection robot moves to the charging seat along the track, the charging trigger device is triggered to enable the inspection robot to automatically charge;
the patrol module comprises a patrol robot main body and a 360-degree rotating and fixing device, and after the identification module B is successfully matched with the identification module A, the patrol module acquires image information and behavior information of the patient and uploads the image information and the behavior information to the cloud server through the patrol robot processor module;
the patrol robot processor module interprets and coordinates instructions among all modules in the patrol robot and processes data.
Furthermore, the identification module B and the identification module A are connected through one of RIFD, WIFI and Bluetooth and are mutually identified and matched;
the inspection robot main body adopts at least one of a thermal infrared imager, a 360-degree camera and a laser scanner.
Further, the cloud server comprises a task control module, a data acquisition and storage module, a data analysis module and an information prompt and display module, and is also connected with a hospital electronic medical record and an artificial intelligence computing module;
the task control module sets a patrol task for the patrol robot through terminal equipment, acquires basic information of a patient, nursing level and information of a ward area from an electronic medical record of a hospital, and generates a patrol list of the patrol task by combining system automatic marking and manual marking information;
after the identification module A and the identification module B are successfully matched, the data acquisition and storage module acquires basic information of a patient, vital sign information and positioning information immediately after matching from the wearable bracelet, acquires image information and behavior information from the inspection robot, acquires an inspection list from the task control module and uploads the inspection list to the inspection robot, and the inspection robot performs inspection according to the inspection list;
the data analysis module analyzes the data acquired by the data acquisition and storage module through the artificial intelligence calculation module and generates decision information, wherein the artificial intelligence calculation module comprises a clinical decision support system and is used for interpreting and deciding the vital sign information, the artificial intelligence calculation module also comprises a decision system with a built-in area map and boundary position information and is used for interpreting and deciding the positioning information, and the artificial intelligence calculation module also comprises an image recognition system based on various machine learning algorithms and is used for interpreting and deciding the image information and the behavior information;
the information prompting and displaying module displays the decision information through terminal equipment, the terminal equipment comprises a nurse station, a doctor station PC terminal computer and a handheld mobile computer (such as a PDA and a tablet personal computer), the terminal equipment can be in wired or wireless connection with a cloud server, and the terminal equipment sets an automatic patrol task according to parameters such as time, nursing level and working property of a ward, and the patrol task can be started manually and immediately if the terminal equipment is started once per hour.
Furthermore, the inspection task at least comprises one of an automatic task and a manual task, and the inspection task is managed according to the priority of the inspection task; the patrol task priority is as follows: when the electric quantity is lower than a set value, the charging task is greater than the manual task and the automatic task is greater; when the electric quantity is equal to or higher than a set value, the manual task > the automatic task > the charging task, the inspection robot automatically moves to the charging seat to be charged when the inspection robot is idle, and the charging task is executed first until the electric quantity reaches the standard when the electric quantity of the inspection robot does not reach the set value.
Further, the decision information generated by the data analysis module comprises patients who do not patrol in the patrol list of the patrol task in unit time, patients with abnormal vital sign information, patients with abnormal positioning information, patients with abnormal image information and patients with abnormal behavior information.
Furthermore, the information display modes of the information prompt and display module comprise dynamic alarm and prompt, static interface, popup window and message prompt.
The method for the in-patient timed patrol of the system comprises the following steps:
s1, manually confirming basic information of a patient when the patient is admitted, inputting the basic information into an electronic medical record of the hospital, synchronizing the basic information to a wearable bracelet, and simultaneously wearing the wearable bracelet by the patient;
s2, connecting a cloud server through terminal equipment to set a patrol task, and starting a patrol robot in a manual starting or automatic starting mode;
s3, starting a patrol task by the patrol robot, synchronizing basic information and nursing level information of patients in a hospital from an electronic medical record of the hospital by the cloud server, and generating a patrol list of the patrol task by combining information automatically marked or manually marked by a system;
s4, the inspection robot moves forward along a preset track according to an inspection list, the inspection robot is matched with the wearable bracelet through wireless communication until a preset locus in the track, the vital sign information and the positioning information of a wearable bracelet wearer are uploaded once after the inspection robot succeeds, meanwhile, the inspection robot rotates a 360-degree camera, the center and the focal length of the 360-degree camera are adjusted, the image information and the behavior information of the wearable bracelet wearer are collected and uploaded to a cloud server, the wearable bracelet and the inspection robot are automatically unbound after the inspection robot finishes, and wireless communication connection is stopped for a period of time;
s5, after the patrol robot is unbound with the wearable bracelet of the previous patient, continuing to be matched with the wearable bracelet of the next patient, repeating the steps of S3 and S4, and circularly patrolling the patients in the ward area in sequence;
s6, the patrol robot finishes a circle of patrol, enters a charging seat area along the track and starts charging, and the patrol task is finished;
s7, the cloud server judges and reads the basic information, the vital sign information, the positioning information, the image information and the behavior information of the patient collected in real time through an artificial intelligence computing module, and classifies all the patient states in the patrol list of the patrol task into the following states: the abnormal situation is displayed in a terminal device through an information prompting and displaying module, wherein the abnormal situation is displayed in different displaying modes according to different interpretation results of the abnormal situation;
and S8, the cloud server judges the record of the one-time patrol task, and presents the patient who is not patrolled in the patrol list, namely the patient who does not record the vital sign information, the positioning information and the image information during the patrol task at the terminal equipment through an information prompting and displaying module.
Medical personnel can access the cloud server through the terminal equipment to label the state of the patient who is not patrolled, and can take corresponding intervention measures in time according to the abnormal information of the state of the patient; when the patient checks out the account and discharges from the hospital, the patient information in the wearable bracelet is unbound after the identity of the patient is confirmed manually.
The invention has the beneficial effects that:
(1) the wearable bracelet-wearing monitoring system can effectively monitor vital sign information, positioning information, behavior information and the like of a wearable bracelet wearer (patient), and realize effective observation of physiological state and behavior state of the wearable bracelet wearer.
(2) The invention can effectively meet the requirement of the hierarchical nursing requirement on the frequency of patrol and realize the dynamic and timed observation of the wearable bracelet wearer (patient).
(3) The wearable bracelet and the method can reduce the actual disturbance times of a wearable bracelet wearer (patient), particularly the disturbance times in the night sleep period, and help the wearer (patient) to better obtain rest.
(4) The invention is suitable for isolating the ward, can find the state of illness and abnormal behavior of the patient in time, and reduce the times of medical staff entering the ward.
(5) The invention can effectively assist medical staff to observe and master the state of illness of patients, reduce repeated and mechanical work tasks, improve work efficiency and quality and reduce human resource allocation to a certain extent.
Drawings
Fig. 1 is a schematic diagram of a connection relationship among a wearable bracelet, a patrol robot, a cloud server, and a terminal device according to the present invention.
Fig. 2 is a schematic view of the connection relationship of the wearable bracelet of the present invention.
Fig. 3 is a schematic diagram of the connection relationship of the inspection robot according to the present invention.
Fig. 4 is a schematic diagram of a connection relationship between cloud servers according to the present invention.
In the figure: the system comprises a wearable bracelet-1, an identification module A-11, a positioning module-12, a vital sign monitoring module-13, a wearable bracelet processor module-14, a patrol robot-2, an identification module B-21, a walking module-22, a patrol module-23, a patrol robot processor module-24, a cloud server-3, a task control module-31, a data acquisition and storage module-32, a data analysis module-33, a hospital electronic medical record-331, an artificial intelligence calculation module-332, an information prompting and displaying module-34 and a terminal device-4.
Detailed Description
The present invention will now be described in further detail with reference to the accompanying drawings.
The invention provides a system and a method for regularly patrolling inpatients based on artificial intelligence and cloud computing, and the system comprises wearable bracelets 1 x N, a patrolling robot 2, a cloud server 3 and terminal equipment 4.
Referring to fig. 1-4, each of the wearable bracelets 1 × N has an identification module a11, a positioning module 12, a vital sign monitoring module 13, and a wearable bracelet processor module 14, and may be connected to the patrol robot 2 and the cloud server 3 through wireless communication; the patrol robot 2 is provided with an identification module B21, a patrol module 23, a walking module 22 and a patrol robot processor module 24, and can be connected with the wearable bracelet 1 and the cloud server 3 through wireless communication; the cloud server 3 is provided with a task control module 31, a data acquisition and storage module 32, a data analysis module 33, an information prompt and display module 34, and can be connected with the wearable bracelet 1 and the patrol robot 2 through wireless communication, the cloud server 3 is also connected with the hospital electronic medical record 331, the artificial intelligence computing module 332, the terminal device 4 and the like through wired/wireless communication, the terminal device 4 comprises a nurse station, a doctor station PC terminal computer and a handheld mobile computer (such as a PDA and a tablet computer), and can be connected with the cloud server 3 through wired/wireless communication.
When a patient is admitted, the staff manually confirms the basic information of the patient, including name, sex, age, identification number, admission number, ward area, bed number and the like, inputs the basic information into the hospital electronic medical record 331, synchronizes to the wearable bracelet 1 through the cloud server 3, and wears the patient; when the patient settles accounts and is discharged from the hospital, after the identity of the patient is confirmed manually, the patient information in the wearable bracelet 1 is unbound, and the wearable bracelet 1 is taken down. Medical personnel visit cloud ware 3 through terminal equipment 4 such as nurse station, doctor's PC end computer, or handheld mobile computer, according to time, nursing grade, the working property isoparametric of ward, set up the automatic task of patrolling, if once start every hour, also can manually start the task of patrolling immediately. The inspection robot 2 receives the automatic inspection task or the manual inspection task, starts from a charging seat, acts along a track preset in a specific environment of a ward, matches a preset point in the track with the wearable bracelet 1 (N1) through wireless communication, uploads vital sign information and positioning information of a wearable bracelet 1 (N1) wearer after matching is successful, simultaneously the inspection robot 2 rotates a 360-degree camera, adjusts the center and the focal length of the camera, collects image information and behavior information of the wearable bracelet 1 (N1) wearer, uploads the image information and the behavior information to the cloud server 3, and the wearable bracelet 1 (N1) and the inspection robot 2 automatically unbind after the completion and stops wireless communication connection for a period of time; the inspection robot 2 continues to move to the next site, matches the wearable bracelet 1 (N2), and repeats the above steps after matching the wearable bracelet 1 (N1) until the inspection robot is unbound to the wearable bracelet 1 (N2) and stops the wireless communication connection for a period of time. After one round of inspection is finished, the vehicle enters a charging seat area along the track to start charging, and the inspection task is finished. The cloud server 3 interprets the patient basic information, vital sign information, positioning information, image information, behavior information and the like collected in real time through the artificial intelligence calculation module 332; meanwhile, the record of one inspection task is interpreted, and the patient who is not inspected in the inspection list, namely the patient who is not recorded with the vital sign information, the positioning information, the image information, the behavior information and the like during the inspection task, is interpreted; and simultaneously, the patient states which are automatically/manually marked by the system are interpreted, and finally, all the patient states in the patrol list of the patrol task are classified into: normal/abnormal/go out, and is presented to medical care personnel at the terminal equipment 4, and in addition, the system can push the 'abnormal' state of the patient to the PC end computer and the handheld mobile computer of the medical care personnel in real time so as to remind the medical care personnel to take intervention measures in time.
Referring to fig. 2, the identification module a11 in the wearable bracelet 1 adopts identification methods including, but not limited to, radio frequency identification (RIFD), WIFI, bluetooth, etc., and the identification module a11 may be matched with the identification module B21 in the patrol robot 2. The positioning module 12 adopts positioning modes including but not limited to base station, WIFI, bluetooth positioning, 3D positioning, etc.; the 3D positioning refers to longitude and latitude three-degree omnibearing positioning, and the identification module A11 can upload the vital sign information and the positioning information of the wearable bracelet 1 wearer after being successfully matched with the identification module B21 in the inspection robot 2; the positioning information comprises universal time, a prediction ephemeris file, current positioning coordinate information and the like. The vital sign monitoring module 13 can automatically monitor vital sign information of a patient in real time, including but not limited to a body temperature monitoring module for monitoring body temperature, a pulse monitoring module for monitoring pulse, a blood pressure monitoring module for monitoring blood pressure, a respiration monitoring module for monitoring respiration, an oxygen saturation monitoring module for monitoring oxygen saturation, etc., and the wearable bracelet processor module 14 can interpret and cooperate with instructions among the modules in the wearable bracelet 1, and process data.
The vital sign monitoring module 13 and the positioning module 12 monitor vital sign information and positioning information of the patient in real time, and after the identification module B21 of the patrol robot 2 is successfully matched with the identification module a11 of the wearable bracelet 1 of the patient to confirm the identity of the patient, the wearable bracelet processor module 14 uploads the vital sign information and the positioning information which are immediate to the cloud server 3.
Referring to fig. 3, the identification module B21 in the patrol robot 2 adopts identification methods including, but not limited to, radio frequency identification (RIFD), WIFI, bluetooth, etc.; the identification module B21 can synchronize the patrol list in real time from the cloud server 3, and can confirm the identity of the patient by comparing the basic information of the patient recorded by the identification module A11 in the wearable bracelet 1 through wireless communication, and the information of the patient which is not matched in the patrol list of the single patrol task can be uploaded to the cloud server 3 through the patrol robot processor module 24. The patrol module 23 includes a patrol robot main body and a 360 ° rotation and fixing device. The inspection robot body in the inspection module 23 comprises one or more of a thermal infrared imager, a camera and a laser scanner, and after the identification module B21 is successfully matched with the identification module a11, the inspection module 23 acquires image information, behavior information and the like of the patient and uploads the image information, behavior information and the like to the cloud server 3 through the inspection robot processor module 24. And the walking module 22 comprises a driving device, a track and an automatic charging module. The driving device moves in the track through the driving wheel and the guide wheel. The track can freely be designed according to the specific environment of ward, around the home range of patient in the ward, lay into closed loop's circuit in a plurality of wards, ward public districts, supplies to patrol robot 2 and move according to the track, and the position can be predetermine in the track, triggers the discernment and the image locking function of patrolling robot 2. The automatic charging module comprises a charging seat and a charging trigger device, wherein the charging seat is connected with the track, when the inspection robot 2 moves to the charging seat along the track, the charging trigger device is triggered to enable the inspection robot 2 to carry out automatic charging, and the inspection robot processor module 24 interprets and cooperates with instructions among modules in the inspection robot 2 and processes data.
The patrol robot 2 receives an automatic patrol task or a manual patrol task, synchronizes a patrol list in the cloud server 3 in real time and stores the patrol list, starts from a charging seat, performs patrol work along a track action preset in a specific environment of a ward, finishes a patrol circle, enters a charging seat area along a track to start charging, and finishes the patrol task; if the electric quantity of the inspection robot 2 does not reach the set value, the charging task is executed first until the electric quantity reaches the standard.
Referring to fig. 4, the task control module 31 in the cloud server 3 may set a patrol task, including but not limited to an automatic task and a manual task, through the terminal device 4, and manage the patrol task, where the patrol task has a priority: when the electric quantity is lower than a set value, the charging task is greater than the manual task and the automatic task is greater; when the amount of electricity is equal to or higher than a set value, the manual task > the automatic task > the charging task. The task control module 31 can obtain information including but not limited to basic information of patients, nursing levels, and all patients in the hospital in real time from the electronic medical records 331 of the hospital, and generate a patrol list of the patrol task according to rules by combining information of automatic/manual labeling of the system, and the like. After the patrol robot 2 and the wearable bracelet 1 are successfully matched through the identity recognition module, the data acquisition and storage module 32 automatically records basic information of a patient, acquires vital sign information and positioning information immediately after matching from the wearable bracelet 1, acquires image information and behavior information from the patrol robot 2, and acquires information such as nursing levels and all patients in a ward from an electronic medical record 331 of the hospital through the task control module 31. The data analysis module 33 can analyze the collected data and the data of the electronic medical record 331 of the hospital through the artificial intelligence calculation module 332, and generate decision information. The artificial intelligence computation module 332 comprises a Clinical Decision Support System (CDSS) of vital signs for interpretation and decision making of vital sign information; the system comprises a decision-making system internally provided with a regional map and boundary position information and an image recognition system based on various machine learning algorithms and used for interpreting and deciding image information and behavior information. The data analysis module 33 generates decision information including, but not limited to, patient information that is not patrolled in the task list in unit time, patient information with abnormal vital sign information, patient information with abnormal positioning information, patient information with abnormal image information, and patient information with abnormal behavior information. The information prompting and displaying module 34 is configured to display the decision information through the terminal device 4, where the display modes include, but are not limited to, dynamic alarm and prompt, static interface, popup window, message prompt, and the like.
Wherein, cloud server 3 acquires and stores hospital's electronic medical record 331 in the ward all at hospital patient's name this tour task when starting, the number of being in hospital, the bed number, the nursing level, the system is to the automatic marking information of patient's state (if go out), medical personnel are to patient's marking information etc., generate this tour manifest, and reach tour robot 2 through wireless communication down, cloud server 3 acquires and stores from wearable bracelet 1 and the successful matching back of tour robot 2, collect patient's basic information (name, the number of being in hospital etc.) in real time, vital sign information, positioning information, image information, behavior information etc., judge through artificial intelligence calculation module 332, obtain this tour whole ward patient's state: normal/abnormal/go out, thereby obtaining the state record of a plurality of patients in a certain period of time, presenting the state record in the form of interface and the like at a nurse station, a doctor station PC terminal computer or a handheld mobile computer, and presenting abnormal information in the form of alarming or reminding in real time at the nurse station, the doctor station PC terminal computer or the handheld mobile computer, and reminding medical staff of the abnormal state of a certain patient in time.
The patrol task is set manually/automatically, 1 patrol task is carried out to the charging seat along the track once, and the patrol list means that the number of patients in the hospital can be synchronized when the patrol task starts every time, so that the patrol list of the patrol task is formed.
The task control module 31 can obtain the set automatic/manual task from the terminal device 4, and can synchronize the patient list from the hospital electronic medical record 331 during the patrol task to generate the patrol list, and the patrol list is sent to the data acquisition and storage module 32 and executed by the patrol robot 2 through the data acquisition and storage module 32.
It should be noted that the terms "upper", "lower", "left", "right", "front", "back", etc. used in the present invention are for clarity of description only, and are not intended to limit the scope of the present invention, and the relative relationship between the terms and the terms is not limited by the technical contents of the essential changes.
The above is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above-mentioned embodiments, and all technical solutions belonging to the idea of the present invention belong to the protection scope of the present invention. It should be noted that modifications and embellishments within the scope of the invention may be made by those skilled in the art without departing from the principle of the invention.
Claims (10)
1. System of regularly patrolling of inpatient based on artificial intelligence and cloud calculate, its characterized in that, including wearable bracelet (1), tour robot (2), cloud ware (3) and terminal equipment (4), cloud ware (3) are wireless communication connection wearable bracelet (1), tour robot (2) and terminal equipment (4) respectively, wherein wearable bracelet (1) with tour robot (2) pass through wireless communication connection and match.
2. The system for in-patient timed patrol based on artificial intelligence and cloud computing according to claim 1, characterized in that said wearable bracelet (1) comprises an identification module a (11), a positioning module (12), a vital signs monitoring module (13) and a wearable bracelet processor module (14);
the identification module A (11) stores basic information of a patient when the patient is admitted, and when the wearable bracelet (1) and the patrol robot (2) are successfully matched with each other, the identification module A (11) uploads the basic information of the patient to the cloud server (3) through the wearable bracelet processor module (14);
the positioning module (12) acquires positioning information of a wearable bracelet (1) wearer, and after the wearable bracelet (1) is successfully matched with the inspection robot (2), the positioning information of the wearable bracelet (1) wearer is uploaded to the cloud server (3) through the wearable bracelet processor module (14), wherein the wearable bracelet (1) wearer is a patient;
the vital sign monitoring module (13) automatically monitors vital sign information of a patient in real time, and after the wearable bracelet (1) is successfully matched with the patrol robot (2), the vital sign information of the patient is uploaded to the cloud server (3) through the wearable bracelet processor module (14);
the wearable bracelet processor module (14) interprets and coordinates instructions among the modules in the wearable bracelet (1) and processes data.
3. The system for the in-patient regular patrol based on artificial intelligence and cloud computing according to claim 2, wherein the patient basic information comprises name, sex, age, identification number, hospitalization number, ward area, bed number;
the positioning module (12) adopts one of base station, WIFI, Bluetooth and 3D positioning to perform positioning, and the 3D positioning refers to omnibearing positioning of longitude, latitude and height;
the positioning information comprises world uniform time, a prediction ephemeris file and current positioning coordinate information;
the vital sign monitoring module (13) comprises a body temperature monitoring module, a pulse monitoring module, a blood pressure monitoring module, a respiration monitoring module and an oxygen saturation monitoring module.
4. The system for the in-patient timed patrol based on artificial intelligence and cloud computing according to claim 2, wherein the patrol robot (2) comprises an identification module B (21), a patrol module (23), a walking module (22) and a patrol robot processor module (24);
the identification module B (21) downloads basic information of the patient from the cloud server (3) in real time through the patrol robot processor module (24), and compares the basic information of the patient with the basic information of the patient recorded by the identification module A (11) through wireless communication to confirm the identity of the patient; the walking module (22) comprises a driving device, a track and an automatic charging module, wherein the driving device moves in the track through a driving wheel and a guide wheel, the track surrounds the moving range of a patient in a ward and is laid into a closed-loop line in a plurality of sickrooms and ward public areas, the patrol robot (2) moves according to the track, and a position point is preset in the track to trigger the functions of identification and image locking of the patrol robot (2); the automatic charging module comprises a charging seat and a charging trigger device, wherein the charging seat is connected with the track, and when the inspection robot (2) moves to the charging seat along the track, the charging trigger device is triggered to enable the inspection robot (2) to automatically charge;
the patrol module (23) comprises a patrol robot main body and a 360-degree rotating and fixing device, and after the identification module B (21) is successfully matched with the identification module A (11), the patrol module (23) acquires the image information and the behavior information of the patient and uploads the image information and the behavior information to the cloud server (3) through the patrol robot processor module (24);
the patrol robot processor module (24) interprets and coordinates instructions among the modules in the patrol robot (2) and processes data.
5. The system for the in-patient timed patrol based on artificial intelligence and cloud computing according to claim 4, wherein the identification module B (21) and the identification module A (11) are connected through one of RIFD, WIFI and Bluetooth and are mutually identified and matched;
the inspection robot main body adopts at least one of a thermal infrared imager, a 360-degree camera and a laser scanner.
6. The system for the in-patient timed patrol based on artificial intelligence and cloud computing as claimed in claim 4, wherein the cloud server (3) comprises a task control module (31), a data acquisition and storage module (32), a data analysis module (33) and an information prompting and displaying module (34), and the cloud server (3) is further connected with a hospital electronic medical record (331) and an artificial intelligence computing module (332);
the task control module (31) sets a patrol task for the patrol robot (2) through the terminal device (4), and meanwhile, the task control module (31) acquires basic information, nursing level and information of a ward from an electronic medical record (331) of a hospital, and generates a patrol list of the patrol task by combining the information of automatic labeling and manual labeling of a system;
after the identification module A (11) and the identification module B (21) are successfully matched, the data acquisition and storage module (32) acquires basic information of a patient, vital sign information and positioning information immediately after matching from the wearable bracelet (1), acquires image information and behavior information from the inspection robot (2), acquires an inspection list from the task control module (31) and uploads the inspection list to the inspection robot (2), and the inspection robot (2) performs inspection according to the inspection list;
the data analysis module (33) analyzes the data acquired by the data acquisition and storage module (32) through an artificial intelligence calculation module (332) and generates decision information, wherein the artificial intelligence calculation module (332) comprises a clinical decision support system for interpreting and deciding the vital sign information, the artificial intelligence calculation module (332) further comprises a decision system with a built-in area map and boundary position information for interpreting and deciding the positioning information, and the artificial intelligence calculation module (332) further comprises an image recognition system based on a plurality of machine learning algorithms for interpreting and deciding the image information and the behavior information;
the information prompt and display module (34) displays the decision information through the terminal equipment (4).
7. The system for the in-patient timed patrol based on artificial intelligence and cloud computing according to claim 6, wherein the patrol task at least comprises one of an automatic task and a manual task, and is managed by patrol task priority; the patrol task priority is as follows: when the electric quantity is lower than a set value, the charging task is greater than the manual task and the automatic task is greater; when the electric quantity is equal to or higher than a set value, the manual task > the automatic task > the charging task, and the inspection robot (2) automatically moves to the charging seat to be charged when being idle.
8. The system for in-patient timed patrol based on artificial intelligence and cloud computing according to claim 6, wherein the decision information generated by the data analysis module (33) comprises patients who do not patrol in the patrol list in the patrol task in unit time, patients with abnormal vital sign information, patients with abnormal positioning information, patients with abnormal image information and patients with abnormal behavior information.
9. The system for the in-patient regular patrol based on artificial intelligence and cloud computing according to claim 6, wherein the information presentation modes of the information prompt and presentation module comprise dynamic alarm and prompt, static interface, pop-up window and message prompt.
10. A method for in-patient timed tours based on a system according to any of claims 1 to 9, comprising the steps of:
s1, manually confirming basic information of a patient when the patient is admitted, inputting the basic information into an electronic medical record (331) of the hospital, synchronizing the basic information to a wearable bracelet (1), and simultaneously wearing the wearable bracelet on the patient;
s2, connecting a cloud server (3) through a terminal device (4) to set a patrol task, and starting a patrol robot (2) in a manual starting or automatic starting mode;
s3, starting a patrol task by the patrol robot (2), synchronizing basic information and nursing level information of a patient in a hospital from an electronic medical record (331) of the hospital by the cloud server (3), and generating a patrol list of the patrol task by combining information automatically labeled or manually labeled by a system;
s4, the patrol robot (2) moves forwards along a preset track according to a patrol list, the patrol robot is matched with the wearable bracelet (1) through wireless communication until a preset locus in the track is matched with the wearable bracelet (1), the vital sign information and the positioning information of a wearer of the wearable bracelet (1) are uploaded once after the patrol robot succeeds, meanwhile, the patrol robot (2) rotates a 360-degree camera, the center and the focal length of the 360-degree camera are adjusted, the image information and the behavior information of the wearer of the wearable bracelet (1) are collected and uploaded to a cloud server (3), the wearable bracelet (1) and the patrol robot (2) are automatically unbound after the patrol robot finishes, and the wireless communication connection is stopped for a period of time;
s5, after the patrol robot (2) is unbound from the wearable bracelet (1) of the previous patient, continuing to be matched with the wearable bracelet (1) of the next patient, repeating the steps of S3 and S4, and circularly patrolling the patients in the ward area in sequence;
s6, the patrol robot (2) finishes a circle of patrol, enters a charging seat area along the track and starts charging, and the patrol task is finished;
s7, the cloud server (3) interprets the basic information, the vital sign information, the positioning information, the image information and the behavior information of the patient collected in real time through an artificial intelligence computing module (332), and classifies all the patient states in the patrol list of the patrol task into the following states: the information is displayed on the terminal equipment (4) through an information prompting and displaying module (34), wherein the information is displayed in different display modes according to different interpretation results of abnormal conditions;
and S8, the cloud server (3) interprets the record of the patrol task, and presents the patient who is not patrolled in the patrol list, namely the patient who is not recorded with the vital sign information, the positioning information and the image information in the patrol task period in the terminal equipment (4) through the information prompting and displaying module (34).
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