CN113223686B - Intelligent medical management system and method based on monitoring technology - Google Patents
Intelligent medical management system and method based on monitoring technology Download PDFInfo
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- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
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Abstract
The invention discloses a monitoring technology-based intelligent medical management system and a monitoring technology-based intelligent medical management method, which belong to the technical field of intelligent medical management and are used for solving the technical problem that the safety performance of hospital environment is reduced because security data can not be acquired and analyzed in each area of a hospital in the prior art; the security data acquisition and analysis are carried out in each area of the hospital, the environmental safety performance of the hospital is improved, and the working efficiency of medical management is enhanced.
Description
Technical Field
The invention belongs to the field of medical treatment, relates to a medical treatment management technology, and particularly relates to an intelligent medical treatment management system and method based on a monitoring technology.
Background
The medical information management system is marginal science integrating various disciplines such as medical science, information, management, computer and the like, is widely applied in developed countries, and creates good social benefit and economic benefit. The medical information management system is a necessary technical support and infrastructure for modern hospital operation, and the aim of realizing the medical information management system is to strengthen the management of the hospital by means of more modernization, scientification and standardization, improve the working efficiency of the hospital and improve the medical quality, so that a new image of the modern hospital is established, which is a necessary direction for the development of the future hospital.
In the prior art, security data acquisition and analysis cannot be performed in each area of a hospital, so that the environmental safety performance of the hospital is reduced, and therefore an intelligent medical management system and method based on a monitoring technology are provided.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide an intelligent medical management system and method based on a monitoring technology, wherein after a security analysis signal is received by a security analysis unit, security area analysis is carried out on each floor in a hospital, after each subarea is received by a data acquisition unit, security data acquisition of security equipment is carried out on each subarea, and security data is analyzed by a data analysis unit; the security data acquisition and analysis are carried out in each area of the hospital, the environmental safety performance of the hospital is improved, and the working efficiency of medical management is enhanced.
The technical problem to be solved by the invention is as follows:
(1) How to carry out security protection data acquisition analysis in each region of hospital, avoid the problem that hospital's environmental security performance reduces.
The purpose of the invention can be realized by the following technical scheme:
an intelligent medical management system based on a monitoring technology comprises a cloud management platform, a security analysis unit, a manpower analysis unit, a data acquisition unit and a data analysis unit;
the cloud management platform is used for analyzing medical data in a hospital so as to intelligently manage the hospital, a manager sends a security analysis signal and a manpower analysis signal to the cloud management platform through the mobile phone terminal, and the cloud management platform sends corresponding signals to the security analysis unit and the manpower analysis unit after receiving the security analysis signal and the manpower analysis signal;
after receiving the security analysis signals, the security analysis unit analyzes security areas of all floors in the hospital, divides all areas of the floors and sends all sub-areas to the data acquisition unit;
after the data acquisition unit receives each subarea, security data acquisition of security equipment is carried out on each subarea, and the acquired security data is sent to the data analysis unit;
after the data analysis unit receives the security data, the security data are analyzed;
after receiving the manpower analysis signal, the manpower analysis unit performs regulation examination on doctors in the hospital, establishes examination questions through internet query, and sends the examination questions to the data acquisition unit;
the data acquisition unit acquires data of a doctor after receiving the examination questions;
the data analysis unit analyzes the doctor score.
Further, the division of each area of the floor is specifically as follows:
step S1: monitoring each floor through monitoring equipment, acquiring a doctor-patient activity area of each floor through monitoring, acquiring a rectangular area of the doctor-patient activity area of each floor, marking the rectangular area of the doctor-patient activity area as a security analysis area, wherein the monitoring equipment is a camera, the rectangular area acquisition is expressed as acquiring a rectangular area around the doctor-patient activity area, and the monitored doctor-patient activity area is positioned in the rectangular area;
step S2: dividing the peripheral rectangular region into a plurality of sub-regions in equal area, and marking the plurality of sub-regions as i, i =1,2, … …, n, n is a positive integer;
and step S3: and sending each subarea to a data acquisition unit.
Further, the security data acquisition of the security device for each sub-area is specifically as follows:
step SS1: acquiring the number of monitoring cameras and spray headers in each sub-area through a counter, and marking the number of the monitoring cameras and the spray headers in each sub-area as SLi;
step SS2: acquiring the working areas of the monitoring cameras and the spray headers in all the sub-areas, and marking the working areas of the monitoring cameras and the spray headers in all the sub-areas as MJi;
and step SS3: acquiring the monitoring angle of the monitoring camera in each sub-area, and marking the monitoring angle of the monitoring camera in each sub-area as JDi;
and step SS4: and sending the collected security data to a data analysis unit.
Further, the security data is analyzed as follows:
step SSS1: setting corresponding error coefficients for the security data, substituting the security data and the corresponding error coefficients into a formula for calculation, and calculating by the formula Xi = (SLi × a1+ MJi × a2+ JDi × a 3) a1+a2+a3 Obtaining security data analysis coefficients Xi of each subarea, wherein a1, a2 and a3 are all error coefficients, and a1 is greater than a2 and greater than a3 is greater than 0;
step SSS2: acquiring the average number of passing people per day and the average stay time per day of each sub-region, marking the average number of passing people per day and the average stay time per day of each sub-region as RSi and DLi, and acquiring an activity coefficient Zi of each sub-region through a formula Zi = beta (RSi × b1+ DLi × b 2), wherein b1 and b2 are proportional coefficients, b1 is greater than b2 and greater than 0, and beta is an error correction factor and has a value of 1.32;
step SSS3: calculating the ratio of the precipitation area of the spray header in each sub-area to the area of the sub-area, multiplying the corresponding ratio by the corresponding activity coefficient, marking the product as an emergency coefficient, and setting a mark Yi;
step SSS4: comparing the security data analysis coefficient Xi and the emergency coefficient Yi of each subarea with L1 and L2 respectively, wherein L1 is expressed as an analysis coefficient threshold, and L2 is expressed as an emergency coefficient threshold:
if the security data analysis coefficient Xi of the subarea is more than or equal to L1 and the emergency coefficient Yi is more than or equal to L2, marking the corresponding subarea as a security qualified subarea;
if any coefficient of the security data analysis coefficient Xi and the emergency coefficient Yi of the subareas is less than the corresponding threshold value, marking the corresponding subarea as a security defect subarea;
if the security data analysis coefficient Xi and the emergency coefficient Yi of the subareas are both smaller than the corresponding threshold value, marking the corresponding subarea as an unqualified security subarea;
step SSS5: and sending the qualified security sub-region, the defective security sub-region and the unqualified security sub-region to a cloud management platform.
Further, the examination questions are constructed through internet query as follows:
inquiring and acquiring a doctor's work manual through the Internet, setting examination questions according to rules in the doctor work manual, wherein the examination questions are divided into selection questions and subjective questions, and the ratio of the selection questions to the subjective questions is 1: 1;
and sending the examination questions to a data acquisition unit.
Further, the data acquisition for the doctor is as follows:
step TT1: dividing the examination questions into a1 st grade, a2 nd grade and a3 rd grade according to the difficulty of the examination questions, wherein j is more than k and more than p, and marking the grade as s;
step TT2: obtaining a standard answer set of the choice questions and the subjective questions, namely a choice question standard answer set XS { XS1, XS2, …, xso and … xsv }, wherein xso represents a standard answer of the o-th choice question with s-grade, v represents the number of the choice questions, and s takes 1,2,3;
the subjective question standard answer set ZS { ZS1, ZS2, …, zsf and … xsg }, wherein zsf represents the standard answer of the f-th subjective question of s-level, g represents the number of the subjective questions, and s takes the value of 1,2,3;
step TT3: acquiring the number of doctors and marking the number as u, u =1,2, … …, m and m as positive integers, and acquiring a doctor choice question assessment answer set YSS { YSS1, YSS, …, yssro and … yssro }, wherein the yssro represents an answer of an o-th choice question filled by an r-th doctor in s grade, and the s value is 1,2,3; acquiring a doctor subjective question assessment answer set YSZ { YSZ1, YSZ, …, yszqf, … yszmg }, wherein the yszqf represents an answer of the f-th subjective question filled by the q-th doctor in s-grade, and the s value is 1,2,3;
step TT4: and sending the selected question standard answer set XS, the subjective question standard answer set ZS, the doctor selected question assessment answer set YSS and the doctor subjective question assessment answer set YSZ to the data analysis unit.
Further, physician performance was analyzed as follows:
step TTT1: comparing the standard answer set XS of the selected questions with the assessment answer set YSS of the selected questions of the doctor, comparing the standard answer set ZS of the subjective questions with the assessment answer set YSZ of the subjective questions of the doctor, if the corresponding subsets are inconsistent, judging that the answers are wrong, marking the corresponding subsets as wrong answers, otherwise, judging that the answers are correct, and marking the corresponding subsets as correct answers;
step TTT2: acquiring the number of correct answers and the number of wrong answers of a doctor, and judging that the corresponding doctor is qualified if the number of correct answers is more than or equal to the number of wrong answers and the number of wrong answers is less than or equal to 5% of the number of examination questions; if the number of correct answers is less than the number of wrong answers or the number of wrong answers is more than 5% of the number of examination questions, judging that the corresponding doctor is unqualified;
step TTT3: and sending qualified doctors and unqualified doctors to the cloud management platform.
Further, an intelligent medical management method based on monitoring technology comprises the following steps:
firstly, a manager sends a security analysis signal and a manpower analysis signal to a cloud management platform through a mobile phone terminal, and the cloud management platform sends corresponding signals to a security analysis unit and a manpower analysis unit respectively after receiving the security analysis signal and the manpower analysis signal;
after receiving the security analysis signals, the security analysis unit performs security area analysis on each floor in the hospital, receives each subarea through the data acquisition unit, performs security data acquisition on security equipment of each subarea, and analyzes the security data through the data analysis unit;
thirdly, after receiving the manpower analysis signal through the manpower analysis unit, performing regulation examination on doctors in the hospital, inquiring and constructing examination questions through the internet, and sending the examination questions to the data acquisition unit; and after the data acquisition unit receives the examination questions, the data acquisition unit acquires data of the doctor and then analyzes the score of the doctor through the data analysis unit.
Compared with the prior art, the invention has the beneficial effects that:
1. after receiving a security analysis signal through a security analysis unit, performing security area analysis on each floor in a hospital, after receiving each subarea through a data acquisition unit, performing security data acquisition on security equipment of each subarea, and analyzing security data through a data analysis unit; security data acquisition and analysis are carried out in each area of the hospital, so that the environmental safety performance of the hospital is improved, and the working efficiency of medical management is enhanced;
2. according to the invention, after receiving a manpower analysis signal through the manpower analysis unit, the doctor in the hospital is subjected to regulation examination, examination questions are constructed through internet query, and the examination questions are sent to the data acquisition unit; after receiving the examination questions, the data acquisition unit acquires data of the doctor and then analyzes the score of the doctor through the data analysis unit; the system and the method have the advantages that doctors in hospitals are examined and analyzed, the theoretical knowledge of the doctors is improved, the hospitalizing quality of patients is enhanced, meanwhile, the level of the doctors is improved, and convenience is brought to medical management.
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In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is an overall system block diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, an intelligent medical management system based on monitoring technology includes a cloud management platform, a security analysis unit, a human analysis unit, a data acquisition unit, and a data analysis unit;
the cloud management platform is used for analyzing medical data in a hospital so as to intelligently manage the hospital, wherein the medical data comprises security data and manpower data, the personal safety of doctors and patients in the hospital is improved by monitoring the security data, the hospital visiting quality of patients is improved, the working environment quality of doctors is also improved, a manager sends security analysis signals and manpower analysis signals to the cloud management platform through a mobile phone terminal, and the cloud management platform sends corresponding signals to the security analysis unit and the manpower analysis unit respectively after receiving the security analysis signals and the manpower analysis signals;
after receiving the security analysis signal, the security analysis unit analyzes security areas of each floor in the hospital, divides each area of the floor, accurately divides the area of the hospital to improve data accuracy, and divides each area of the floor as follows:
step S1: monitoring each floor through monitoring equipment, acquiring a doctor-patient activity area of each floor through monitoring, acquiring a rectangular area of the doctor-patient activity area of each floor, marking the rectangular area of the doctor-patient activity area as a security analysis area, wherein the monitoring equipment is a camera, the rectangular area acquisition is expressed as acquiring a rectangular area around the doctor-patient activity area, and the monitored doctor-patient activity area is positioned in the rectangular area;
step S2: dividing the peripheral rectangular region into a plurality of sub-regions in equal area, and marking the sub-regions as i, i =1,2, … …, n, n is a positive integer;
and step S3: sending each subregion to a data acquisition unit;
after the data acquisition unit receives each subarea, security data acquisition of security equipment is carried out on each subarea;
specifically, the following are: security protection equipment includes surveillance camera head and shower head, security protection data includes quantity data, area data and angle data, quantity data is the quantity of surveillance camera head and shower head in each subregion, area data is the working area of surveillance camera head and shower head in each subregion, angle data is the monitoring angle of surveillance camera head in each subregion, the working area of surveillance camera head is the subregion area that the shooting range of surveillance camera head corresponds, the working area of shower head is the precipitation area of shower head, the security protection data acquisition who carries out security protection equipment to each subregion specifically as follows:
step SS1: acquiring the number of monitoring cameras and spray headers in each sub-area through a counter, and marking the number of the monitoring cameras and the spray headers in each sub-area as SLi;
step SS2: acquiring the working areas of the monitoring cameras and the spray headers in all the sub-areas, and marking the working areas of the monitoring cameras and the spray headers in all the sub-areas as MJi;
step SS3: acquiring the monitoring angle of the monitoring camera in each sub-area, and marking the monitoring angle of the monitoring camera in each sub-area as JDi;
and step SS4: sending the collected security data to a data analysis unit;
when the security data analysis method is specifically implemented, after the data analysis unit receives the security data, the security data are analyzed:
step SSS1: setting corresponding error coefficients for the security data, substituting the security data and the corresponding error coefficients into a formula for calculation, and calculating by the formula Xi = (SLi × a1+ MJi × a2+ JDi × a 3) a1+a2+a3 Obtaining security data analysis coefficients Xi of each subarea, wherein a1, a2 and a3 are all error coefficients, and a1 is greater than a2 and greater than a3 is greater than 0;
step SSS2: the method comprises the steps of obtaining the average number of passing people per day and the average daily stay time of each subregion, marking the average number of passing people per day and the average daily stay time of each subregion as RSi and DLi, and obtaining an activity coefficient Zi of each subregion through a formula Zi = beta (RSi multiplied by b1+ DLi multiplied by b 2), wherein b1 and b2 are proportional coefficients, b1 is larger than b2 and larger than 0, and beta is an error correction factor and is 1.32;
step SSS3: calculating the ratio of the precipitation area of the spray header in each sub-area to the area of the sub-area, multiplying the corresponding ratio by the corresponding activity coefficient, marking the product as an emergency coefficient, and setting a mark Yi;
step SSS4: comparing the security data analysis coefficient Xi and the emergency coefficient Yi of each sub-area with L1 and L2 respectively, wherein L1 is an analysis coefficient threshold, and L2 is an emergency coefficient threshold:
if the security data analysis coefficient Xi of the subarea is more than or equal to L1 and the emergency coefficient Yi is more than or equal to L2, marking the corresponding subarea as a security qualified subarea;
if any coefficient of the security data analysis coefficient Xi and the emergency coefficient Yi of the subareas is less than the corresponding threshold value, marking the corresponding subarea as a security defect subarea;
if the security data analysis coefficient Xi and the emergency coefficient Yi of the subareas are both smaller than the corresponding threshold value, marking the corresponding subarea as an unqualified security subarea;
step SSS5: sending the qualified security sub-region, the defective security sub-region and the unqualified security sub-region to a cloud management platform;
after receiving the manpower analysis signal, the manpower analysis unit performs regulation examination on doctors in the hospital, and inquires and constructs examination questions through the Internet, wherein the construction process specifically comprises the following steps:
in specific implementation, a doctor work manual is obtained through internet query, examination questions are set according to rules in the doctor work manual and are divided into selection questions and subjective questions, and the ratio of the selection questions to the subjective questions is 1: 1;
the examination questions are sent to a data acquisition unit;
after the data acquisition unit receives the examination questions, data acquisition is carried out on doctors, and the security data acquisition of security equipment on each subarea is as follows:
step TT1: dividing the examination questions into a1 st grade, a2 nd grade and a3 rd grade according to the difficulty of the examination questions, wherein j is more than k and more than p, and marking the grade as s;
step TT2: obtaining a standard answer set of the choice questions and the subjective questions, namely a choice question standard answer set XS { XS1, XS2, …, xso and … xsv }, wherein xso represents a standard answer of the o-th choice question with s-grade, v represents the number of the choice questions, and s takes 1,2,3;
the subjective question standard answer set ZS { ZS1, ZS2, …, zsf and … xsg }, wherein zsf represents the standard answer of the f-th subjective question of s-level, g represents the number of the subjective questions, and s takes the value of 1,2,3;
step TT3: acquiring the number of doctors and marking the number as u, u =1,2, … …, m and m as positive integers, and acquiring a doctor choice question assessment answer set YSS { YSS, YSS, …, yssro and … yssmv }, wherein the yssro represents an answer of an o-th choice question filled by an r-th doctor in s-level, and the s value is 1,2,3; acquiring a doctor subjective question assessment answer set YSZ { YSZ1, YSZ, …, yszqf, … yszmg }, wherein the yszqf represents an answer of the f-th subjective question filled by the q-th doctor in s-grade, and the s value is 1,2,3;
step TT4: sending a selected question standard answer set XS, a subjective question standard answer set ZS, a doctor selected question assessment answer set YSS and a doctor subjective question assessment answer set YSZ to a data analysis unit;
after receiving the selected question standard answer set XS, the subjective question standard answer set ZS, the doctor selected question assessment answer set YSS and the doctor subjective question assessment answer set YSZ, the data analysis unit analyzes the doctor scores, and the analysis process is as follows:
step TTT1: comparing the standard answer set XS of the selected questions with the assessment answer set YSS of the selected questions of the doctor, comparing the standard answer set ZS of the subjective questions with the assessment answer set YSZ of the subjective questions of the doctor, if the corresponding subsets are inconsistent, judging that the answers are wrong, marking the corresponding subsets as wrong answers, otherwise, judging that the answers are correct, and marking the corresponding subsets as correct answers;
step TTT2: acquiring the number of correct answers and the number of wrong answers of a doctor, and judging that the corresponding doctor is qualified if the number of correct answers is larger than or equal to the number of wrong answers and the number of wrong answers is less than or equal to 5% of the number of examination questions; if the number of correct answers is less than the number of wrong answers or the number of wrong answers is more than 5% of the number of examination questions, judging that the corresponding doctor is unqualified;
step TTT3: and sending qualified doctors and unqualified doctors to the cloud management platform.
When the intelligent medical management system works, after a security analysis signal is received by a security analysis unit, security area analysis is carried out on each floor in a hospital, after each subarea is received by a data acquisition unit, security data acquisition of security equipment is carried out on each subarea, and security data is analyzed by a data analysis unit;
after receiving the manpower analysis signal, the manpower analysis unit performs regulation examination on doctors in the hospital, establishes examination questions through internet query, and sends the examination questions to the data acquisition unit; after the data acquisition unit receives the examination questions, the data acquisition unit acquires data of the doctor and then analyzes the score of the doctor through the data analysis unit.
Based on another concept of the same invention, an intelligent medical management method based on a monitoring technology is provided, and the steps of the management method are as follows:
firstly, a manager sends a security analysis signal and a manpower analysis signal to a cloud management platform through a mobile phone terminal, and the cloud management platform sends corresponding signals to a security analysis unit and a manpower analysis unit respectively after receiving the security analysis signal and the manpower analysis signal;
after receiving the security analysis signals, the security analysis unit analyzes security areas of all floors in the hospital, and after receiving all sub-areas through the data acquisition unit, the security analysis unit acquires security data of security equipment for all sub-areas and analyzes the security data;
thirdly, after receiving the manpower analysis signal through the manpower analysis unit, performing regulation examination on doctors in the hospital, inquiring and constructing examination questions through the internet, and sending the examination questions to the data acquisition unit; after the data acquisition unit receives the examination questions, the data acquisition unit acquires data of the doctor and then analyzes the score of the doctor through the data analysis unit.
The above formulas are all calculated by taking the numerical value of the dimension, the formula is a formula which obtains the latest real situation by acquiring a large amount of data and performing software simulation, and the preset parameters in the formula are set by the technical personnel in the field according to the actual situation.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (5)
1. An intelligent medical management system based on a monitoring technology is characterized by comprising a cloud management platform, a security analysis unit, a manpower analysis unit, a data acquisition unit and a data analysis unit;
the cloud management platform is used for analyzing medical data in a hospital so as to intelligently manage the hospital, a manager sends a security analysis signal and a manpower analysis signal to the cloud management platform through the mobile phone terminal, and the cloud management platform sends corresponding signals to the security analysis unit and the manpower analysis unit after receiving the security analysis signal and the manpower analysis signal;
after receiving the security analysis signals, the security analysis unit analyzes security areas of all floors in the hospital, divides all areas of the floors and sends all sub-areas to the data acquisition unit;
after the data acquisition unit receives each subarea, security data acquisition of security equipment is carried out on each subarea, and the acquired security data is sent to the data analysis unit;
after the data analysis unit receives the security data, the security data are analyzed;
after receiving the manpower analysis signal, the manpower analysis unit performs regulation examination on doctors in the hospital, establishes examination questions through internet query, and sends the examination questions to the data acquisition unit;
the data acquisition unit acquires data of a doctor after receiving the examination questions;
the data analysis unit analyzes the score of the doctor;
the security data is analyzed as follows:
step SSS1: setting corresponding error coefficients for the security data, substituting the security data and the corresponding error coefficients into a formula for calculation, and calculating by the formula Xi = (SLi × a1+ MJi × a2+ JDi × a 3) a1+a2+a3 Obtaining security data analysis coefficients Xi of each subarea, wherein a1, a2 and a3 are all error coefficients, and a1 is greater than a2 and greater than a3 is greater than 0;
step SSS2: acquiring the average number of passing people per day and the average stay time per day of each sub-region, marking the average number of passing people per day and the average stay time per day of each sub-region as RSi and DLi, and acquiring an activity coefficient Zi of each sub-region through a formula Zi = beta (RSi × b1+ DLi × b 2), wherein b1 and b2 are proportional coefficients, b1 is greater than b2 and greater than 0, and beta is an error correction factor and has a value of 1.32;
step SSS3: calculating the ratio of the precipitation area of the spray header in each sub-area to the area of the sub-area, multiplying the corresponding ratio by the corresponding activity coefficient, marking the product as an emergency coefficient, and setting a mark Yi;
step SSS4: comparing the security data analysis coefficient Xi and the emergency coefficient Yi of each sub-area with L1 and L2 respectively, wherein L1 is an analysis coefficient threshold, and L2 is an emergency coefficient threshold:
if the security data analysis coefficient Xi of the sub-area is larger than or equal to L1 and the emergency coefficient Yi is larger than or equal to L2, marking the corresponding sub-area as a security qualified sub-area;
if any coefficient of the security data analysis coefficient Xi and the emergency coefficient Yi of the sub-region is smaller than the corresponding threshold value, marking the corresponding sub-region as a security defect sub-region;
if the security data analysis coefficient Xi and the emergency coefficient Yi of the subareas are both smaller than the corresponding threshold value, marking the corresponding subarea as an unqualified security subarea;
step SSS5: sending the security qualified subarea, the security defect subarea and the security unqualified subarea to a cloud management platform;
the security data acquisition of the security equipment for each sub-area is as follows:
step SS1: acquiring the number of monitoring cameras and spray headers in each sub-area through a counter, and marking the number of the monitoring cameras and the spray headers in each sub-area as SLi;
step SS2: acquiring the working areas of the monitoring cameras and the spray headers in all the sub-areas, and marking the working areas of the monitoring cameras and the spray headers in all the sub-areas as MJi;
step SS3: acquiring the monitoring angle of the monitoring camera in each sub-area, and marking the monitoring angle of the monitoring camera in each sub-area as JDi;
and step SS4: and sending the collected security data to a data analysis unit.
2. The intelligent medical management system based on monitoring technology as claimed in claim 1, wherein each area of the floor is divided as follows:
step S1: monitoring all floors through monitoring equipment, acquiring doctor-patient activity areas of all floors through monitoring, acquiring rectangular areas of the doctor-patient activity areas of all floors, marking the rectangular areas of the doctor-patient activity areas as security analysis areas, wherein the monitoring equipment is a camera, the rectangular areas are rectangular areas surrounding the doctor-patient activity areas, and the monitored doctor-patient activity areas are located in the rectangular areas;
step S2: dividing the peripheral rectangular region into a plurality of sub-regions in equal area, and marking the sub-regions as i;
and step S3: and sending each subregion to a data acquisition unit.
3. The intelligent medical management system based on monitoring technology as claimed in claim 1, wherein the examination questions are constructed by internet query as follows:
inquiring and acquiring a doctor's work manual through the Internet, setting examination questions according to rules in the doctor work manual, wherein the examination questions are divided into selection questions and subjective questions, and the ratio of the selection questions to the subjective questions is 1: 1;
and sending the examination questions to a data acquisition unit.
4. The intelligent medical management system based on monitoring technology of claim 1, wherein the data acquisition of the doctor is as follows:
step TT1: dividing the examination questions into a1 st grade, a2 nd grade and a3 rd grade according to the difficulty of the examination questions, wherein j is more than k and more than p, and marking the grade as s;
step TT2: obtaining a standard answer set of the choice questions and the subjective questions, namely a choice question standard answer set XS { XS1, XS2, …, xso and … xsv }, wherein xso represents a standard answer of the o-th choice question with s-grade, v represents the number of the choice questions, and s takes 1,2,3;
the subjective question standard answer set ZS { ZS1, ZS2, …, zsf and … xsg }, wherein zsf represents the standard answer of the f-th subjective question of s-level, g represents the number of the subjective questions, and s takes the value of 1,2,3;
step TT3: acquiring the number of doctors and marking the number as u, u =1,2, … …, m and m as positive integers, and acquiring a doctor choice question assessment answer set YSS { yssl, YSS, …, yssro, … yssmv }, wherein the yssro represents an answer of an o-th choice question filled by an r-th doctor in s-level, and the s value is 1,2,3; acquiring a doctor subjective question assessment answer set YSZ { YSZ1, YSZ, …, yszqf, … yszmg }, wherein the yszqf represents an answer of the f-th subjective question filled by the q-th doctor in s-grade, and the s value is 1,2,3;
step TT4: and sending the selected question standard answer set XS, the subjective question standard answer set ZS, the doctor selected question assessment answer set YSS and the doctor subjective question assessment answer set YSZ to the data analysis unit.
5. The intelligent medical management system based on monitoring technology of claim 1, wherein the physician performance is analyzed as follows:
step TTT1: comparing the standard answer set XS of the selected questions with the assessment answer set YSS of the selected questions of the doctor, comparing the standard answer set ZS of the subjective questions with the assessment answer set YSZ of the subjective questions of the doctor, if the corresponding subsets are inconsistent, judging that the answers are wrong, marking the corresponding subsets as wrong answers, otherwise, judging that the answers are correct, and marking the corresponding subsets as correct answers;
step TTT2: acquiring the number of correct answers and the number of wrong answers of a doctor, and judging that the corresponding doctor is qualified if the number of correct answers is more than or equal to the number of wrong answers and the number of wrong answers is less than or equal to 5% of the number of examination questions; if the number of correct answers is less than the number of wrong answers or the number of wrong answers is more than 5% of the number of examination questions, judging that the corresponding doctor is unqualified;
step TTT3: and sending qualified doctors and unqualified doctors to the cloud management platform.
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