CN114649086B - Intelligent microorganism monitoring system based on medical health safety - Google Patents
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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 microbial intelligent monitoring system based on medical health safety, which relates to the technical field of microbial intelligent monitoring and solves the technical problem that the monitoring period of microbes cannot be reasonably matched according to real-time analysis in the prior art, so that the cost of microbial monitoring cannot be controlled; the environment analysis is carried out on the corresponding environment analysis areas, whether the growth of the microorganisms in each environment analysis area is influenced by the environment is judged, and therefore the control efficiency of the growth speed of the number of the microorganisms in the environment analysis areas is improved, the stability of the medicine storage efficiency of each subarea is facilitated, and the influence of the microorganisms on the medicines is reduced.
Description
Technical Field
The invention relates to the technical field of intelligent microorganism monitoring, in particular to an intelligent microorganism monitoring system based on medical health safety.
Background
Traditional microorganism monitoring operation link is more, and the monitoring mode is comparatively loaded down with trivial details, and the culture time is long, and no matter artifical or consumptive material cost input is higher. The sterilization has irreplaceable effects in controlling and preventing the nosocomial infection, and is an important link for controlling the occurrence of the nosocomial infection; the intelligent monitoring of the drug microorganisms can maintain the stability of the drug storage operation environment, ensure the drug quality safety and the accuracy of the detection result, and perform microorganism monitoring and control on the drug storage environment, so that the controlled environment can maintain an acceptable microorganism pollution risk level.
However, in the prior art, the period setting of the drug storage area cannot be performed, and the microbial monitoring period cannot be reasonably matched according to real-time analysis, so that the cost of microbial monitoring cannot be controlled; meanwhile, the regional environment cannot be analyzed, so that the surrounding environment has influence on microorganisms; in addition, because the medicine is stored in different areas, the required ventilation types are different, and the proper ventilation types cannot be matched for the areas, so that the intelligent monitoring efficiency of the microorganisms is reduced.
In view of the above technical drawbacks, a solution is proposed.
Disclosure of Invention
The invention aims to solve the problems, and provides a microorganism intelligent monitoring system based on medical health safety; limiting values of all sub-regions, setting early warning values and warning values according to the influence of the number of microorganisms in all sub-regions, and managing and controlling the microorganism management and control cost while ensuring the medicine storage efficiency so as to improve the working efficiency of microorganism intelligent monitoring; and (3) carrying out real-time microbial data analysis on each subregion, and judging the risk of the current subregion, so that the influence of microbes in the subregion on the medicine storage is reduced, and the working efficiency of subregion medicine storage is improved.
The purpose of the invention can be realized by the following technical scheme:
the utility model provides a microorganism intelligent monitoring system based on medical health safety, includes the intelligent monitoring platform, is provided with in the intelligent monitoring platform:
the medical area screening unit is used for dividing the medicine storage areas and performing monitoring period classification setting on the medicine storage areas through analysis; dividing a medicine storage area into i sub-areas, analyzing and obtaining a microorganism monitoring coefficient and a microorganism influence analysis coefficient of each sub-area through the sub-areas, and analyzing and obtaining a monitoring period type of each sub-area according to a corresponding coefficient;
the regional environment analysis unit is used for carrying out environment analysis on the corresponding environment analysis regions and judging whether the microbial growth in each environment analysis region is influenced by the environment; analyzing and generating a region qualified signal and a region unqualified signal through an environment analysis region, and correspondingly sending the region qualified signal and the region unqualified signal to a limit value limiting unit and an intelligent monitoring platform;
the limiting value limiting unit is used for limiting the limiting values of all the sub-areas and setting early warning values and alarm values according to the influence of the number of microorganisms in all the sub-areas; after acquiring the selected early warning value and the selected warning value in each sub-region, sending the selected early warning value and the selected warning value to an intelligent monitoring platform;
and the real-time data analysis unit is used for carrying out microorganism real-time data analysis on each subregion and carrying out monitoring control according to comparison between the microorganism real-time value of each subregion and the selected early warning value and the selected alarm value of the corresponding subregion.
As a preferred embodiment of the invention, the operation of the medical area screening unit is as follows:
acquiring the microbial quantity growth speed of the surface of the workbench corresponding to each subregion and the medicine access frequency in the corresponding subregion, and analyzing to obtain the microbial monitoring coefficient corresponding to each subregion;
acquiring the time when the microbial quantity of the stored medicine in each subregion exceeds the standard in the historical storage process, marking the time as an exceeding standard time point, and forming an exceeding standard time period according to the exceeding standard time point to the time point when the microbial quantity does not exceed the standard; acquiring the use qualification rate of the corresponding stored medicine in the overproof time period and the storage time length floating value of the corresponding stored medicine; obtaining microbial influence analysis coefficients in each sub-area through analysis;
comparing the microorganism monitoring coefficient and the microorganism influence analysis coefficient of each subregion with a monitoring coefficient threshold value and an influence analysis threshold value respectively:
if the microorganism monitoring coefficient of the subregion exceeds the monitoring coefficient threshold value and the microorganism influence analysis coefficient of the subregion does not exceed the influence analysis threshold value, setting the monitoring period of the corresponding subregion as a primary monitoring period; if the microorganism monitoring coefficient of the subregion exceeds the monitoring coefficient threshold value and the microorganism influence analysis coefficient of the subregion exceeds the influence analysis threshold value, setting the monitoring period of the corresponding subregion as a secondary monitoring period;
if the microorganism monitoring coefficient of the subregion does not exceed the monitoring coefficient threshold value and the microorganism influence analysis coefficient of the subregion does not exceed the influence analysis threshold value, setting the monitoring period of the corresponding subregion as a three-level monitoring period; if the microorganism monitoring coefficient of the subregion does not exceed the monitoring coefficient threshold value and the microorganism influence analysis coefficient of the subregion exceeds the influence analysis threshold value, setting the monitoring period of the corresponding subregion as a four-level monitoring period; the monitoring periods are a first-level monitoring period, a second-level monitoring period, a third-level monitoring period and a fourth-level monitoring period from small to large.
As a preferred embodiment of the present invention, the operation of the regional environment analysis unit is as follows:
marking the corresponding mark of the microorganism monitoring coefficient exceeding the monitoring coefficient threshold as an environmental analysis area; setting a mark o in the environment analysis area, wherein the mark o is a natural number greater than 1;
when the air flow direction in the environment analysis area is unidirectional, acquiring the average flow speed of air circulation in the environment analysis area and the average period of ventilation completed in the corresponding environment analysis area, respectively marking the average flow speed and the average period, and respectively comparing the average flow speed and the average period with an average flow speed threshold value and an average period threshold value:
if the average flow velocity exceeds the average flow velocity threshold value and the average period does not exceed the average period threshold value, judging that the analysis of the corresponding environment analysis area is qualified, generating an area qualified signal and sending the area qualified signal to a limiting value limiting unit; and if the average flow rate does not exceed the average flow rate threshold or the average period exceeds the average period threshold, judging that the analysis of the corresponding environment analysis area is unqualified, generating an area unqualified signal and sending the area unqualified signal to the intelligent monitoring platform.
As a preferred embodiment of the present invention, when the air flow direction in the environment analysis region is non-unidirectional, the shortest interval time of air circulation in each direction in the environment analysis region and the area of the overlapping region corresponding to air circulation in each direction in the environment analysis region are collected and respectively marked as the circulation interval time and the area of the overlapping region, and the circulation interval time and the area of the overlapping region are respectively compared with the shortest interval time threshold and the area of the overlapping region:
if the circulation interval time does not exceed the shortest interval time threshold or the area of the overlapped region exceeds the area threshold of the overlapped region, judging that the analysis of the corresponding environment analysis region is unqualified, generating a region unqualified signal and sending the region unqualified signal to the intelligent monitoring platform; and if the circulation interval time exceeds the shortest interval time threshold and the area of the overlapped region does not exceed the area threshold of the overlapped region, judging that the analysis corresponding to the environment analysis region is qualified, generating a region qualified signal and sending the region qualified signal to the limiting value limiting unit.
As a preferred embodiment of the present invention, the operation of the limit value limiting unit is as follows:
collecting the overproof time points of all the subregions, and marking the number of microorganisms of the subregions corresponding to the overproof time points as a preset early warning value; after the sub-area exceeds the standard time point, acquiring the time when the use qualification rate of the medicine in the corresponding sub-area is reduced, marking the time as an influence time point, and marking the number of microorganisms corresponding to the influence time point as a preset alarm value;
if the difference duration between the overproof moment point of the sub-region and the influence moment point does not exceed the corresponding difference duration threshold, marking the preset early warning value of the corresponding sub-region as a selected warning value; each subregion reduces the unit threshold number of the microorganisms according to the corresponding selected alarm value, and marks the number of the microorganisms after the quantity reduction as the selected alarm value of the corresponding subregion;
if the difference duration between the overproof moment point of the subarea and the influence moment point exceeds the corresponding difference duration threshold, marking the preset alarm value of the corresponding subarea as a selected alarm value of the subarea, reducing the threshold quantity of the microorganism unit by each subarea according to the corresponding selected alarm value, and marking the quantity of the microorganism after the quantity reduction as the selected early warning value of the corresponding subarea; and the selected early warning value is inconsistent with the preset early warning value, and the selected early warning value is greater than the preset early warning value.
As a preferred embodiment of the present invention, the operation process of the real-time data analysis unit is as follows:
if the number of the microorganisms in the sub-region exceeds the selected early warning value of the corresponding sub-region, the running state of the corresponding sub-region is marked as an early warning state; if the number of the microorganisms in the sub-area exceeds the selected alarm value of the corresponding sub-area, the running state of the corresponding sub-area is marked as a dangerous state; acquiring interval time of an early warning state and a dangerous state of a subregion, marking the interval time as reaction time, marking microbial control of the subregion in the reaction time as non-effective control if the reaction time exceeds a corresponding time threshold, and sending a corresponding subregion number to an intelligent monitoring platform, wherein the intelligent monitoring platform adjusts the non-effective control of the corresponding subregion; and if the reaction time does not exceed the corresponding time threshold, reducing and adjusting the selected early warning value of the subregion when the subregion is in a dangerous state.
Compared with the prior art, the invention has the beneficial effects that:
in the invention, the medicine storage area is divided, and the monitoring period of the medicine storage area is set in a classified manner through analysis, so that the pertinence of the medicine storage area on microorganism monitoring is improved, the monitoring efficiency of the medicine storage area is ensured, and the cost of microorganism monitoring is controlled; the corresponding environment analysis areas are subjected to environment analysis, and whether the growth of microorganisms in each environment analysis area is influenced by the environment is judged, so that the control efficiency of the growth speed of the number of the microorganisms in the environment analysis areas is improved, the stability of the medicine storage efficiency of each subarea is facilitated, and the influence of the microorganisms on the medicines is reduced; limiting values of all sub-regions, setting early warning values and warning values according to the influence of the number of microorganisms in all sub-regions, and managing and controlling the microorganism management and control cost while ensuring the medicine storage efficiency so as to improve the working efficiency of microorganism intelligent monitoring; and (3) carrying out real-time microbial data analysis on each subregion, and judging the risk of the current subregion, so that the influence of microbes in the subregion on the medicine storage is reduced, and the working efficiency of subregion medicine storage is improved.
Drawings
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 a schematic block diagram of an intelligent microorganism monitoring system based on medical health safety.
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.
Example 1
Referring to fig. 1, an intelligent monitoring system for microorganisms based on medical health safety monitors a medicine storage area in a hospital through an intelligent monitoring platform, and prevents the effect of the medicine from being reduced and the use of the medicine from being affected due to the fact that the number of microorganisms in the medicine storage area exceeds the standard.
When medicines are stored in the medicine storage area, the system monitors the medicine storage area, the intelligent monitoring platform generates a medical area screening signal and sends the medical area screening signal to the medical area screening unit, the medical area screening unit divides the medicine storage area after receiving the medical area screening analysis signal, and the medicine storage area is subjected to monitoring period classification setting through analysis, so that the pertinence of the medicine storage area in microorganism monitoring is improved, and the cost of microorganism monitoring is controlled while the monitoring efficiency of the medicine storage area is ensured; in the present application, the measurement of the number of microorganisms is in the prior art, and both the contact dish method and the wiping method in the prior art are suitable.
Dividing a medicine storage area into i sub-areas, wherein i is a natural number greater than 1, acquiring the microbial quantity growth speed of the surface of a workbench corresponding to each sub-area and the medicine access frequency in the corresponding sub-area, and respectively marking the microbial quantity growth speed of the surface of the workbench corresponding to each sub-area and the medicine access frequency in the corresponding sub-area as WSwi and CQPi; by the formula
And acquiring microorganism monitoring coefficients Xi corresponding to all the sub-regions, wherein a1 and a2 are preset proportionality coefficients, a1 is more than a2 is more than 0, and beta is an error correction factor and takes the value of 1.02.
The method comprises the steps of collecting the time when the microbial quantity of the stored medicines in each subregion exceeds the standard in the historical storage process, marking the time as an exceeding standard time point, and forming an exceeding standard time period according to the time point from the exceeding standard time point to the time point when the microbial quantity does not exceed the standard, wherein the exceeding standard of the microbial quantity in the application is expressed as that the microbial quantity on the surface of a corresponding workbench of the medicines stored in the subregion exceeds a corresponding microbial quantity threshold value; similarly, if the number of the microorganisms does not exceed the standard, the number of the corresponding microorganisms does not exceed the threshold value of the number of the microorganisms.
Acquiring the use qualification rate of the corresponding stored medicines and the storage time length floating value of the corresponding stored medicines in the overproof time period, and marking the use qualification rate of the corresponding stored medicines and the storage time length floating value of the corresponding stored medicines in the overproof time period as HGLi and FDZi; it can be understood that the private qualification rate of the stored medicines in the application reflects the influence of the medicine effect of the medicines, for example, the antipyretic medicine, and the use qualification rate is expressed as the ratio of the number of successful antipyretics of the fever patients using the antipyretic medicine to the total number of people using the antipyretic medicine; the storage duration floating value represents a corresponding duration value that a rated storage duration for storing the medicine floats after an overproof time period occurs.
By the formula
Acquiring the microbial influence analysis coefficients Ci in each sub-region, whereinA3 and a4 are both preset proportionality coefficients, a3 is more than a4 is more than 0, and alpha is an error correction factor and takes a value of 1.35.
And comparing the microorganism monitoring coefficient and the microorganism influence analysis coefficient of each subregion with a monitoring coefficient threshold value and an influence analysis threshold value respectively.
If the microorganism monitoring coefficient of the subregion exceeds the monitoring coefficient threshold value and the microorganism influence analysis coefficient of the subregion does not exceed the influence analysis threshold value, setting the monitoring period of the corresponding subregion as a primary monitoring period; and if the microorganism monitoring coefficient of the sub-area exceeds the monitoring coefficient threshold value and the microorganism influence analysis coefficient of the sub-area exceeds the influence analysis threshold value, setting the monitoring period of the corresponding sub-area as a secondary monitoring period.
If the microorganism monitoring coefficient of the subregion does not exceed the monitoring coefficient threshold value and the microorganism influence analysis coefficient of the subregion does not exceed the influence analysis threshold value, setting the monitoring period of the corresponding subregion as a three-level monitoring period; if the microorganism monitoring coefficient of the subregion does not exceed the monitoring coefficient threshold value and the microorganism influence analysis coefficient of the subregion exceeds the influence analysis threshold value, setting the monitoring period of the corresponding subregion as a four-level monitoring period; the monitoring periods are a first-level monitoring period, a second-level monitoring period, a third-level monitoring period and a fourth-level monitoring period from small to large.
And sending the monitoring period of each sub-area to an intelligent monitoring platform, simultaneously marking the corresponding mark of the microorganism monitoring coefficient exceeding the monitoring coefficient threshold value as an environment analysis area, generating an area environment analysis signal and sending the area environment analysis signal to an area environment analysis unit.
After receiving the regional environment analysis signal, the regional environment analysis unit analyzes the environment corresponding to the environmental analysis region and judges whether the growth of microorganisms in each environmental analysis region is influenced by the environment, so that the control efficiency of the growth speed of the number of microorganisms in the environmental analysis region is improved, the stability of the medicine storage efficiency of each subregion is facilitated, and the influence of the microorganisms on the medicine is reduced.
And setting a mark o on the environment analysis area, wherein the mark o is a natural number greater than 1, when the air flow direction in the environment analysis area is unidirectional, acquiring the average flow speed of air circulation in the environment analysis area and the average period of air exchange completion corresponding to the environment analysis area, and comparing the average flow speed of air circulation in the environment analysis area and the average period of air exchange completion corresponding to the environment analysis area with an average flow speed threshold value and an average period threshold value respectively.
If the average flow velocity of air circulation in the environment analysis area exceeds an average flow velocity threshold value and the average period of ventilation completed in the corresponding environment analysis area does not exceed an average period threshold value, judging that the analysis of the corresponding environment analysis area is qualified, generating an area qualified signal and sending the area qualified signal to a limiting value limiting unit; if the average flow rate of air circulation in the environment analysis area does not exceed the average flow rate threshold value or the average period of air exchange completion of the corresponding environment analysis area exceeds the average period threshold value, judging that the analysis of the corresponding environment analysis area is unqualified, generating an unqualified area signal and sending the unqualified area signal to an intelligent monitoring platform;
when the air flow direction in the environment analysis area is non-unidirectional, the shortest interval time of air circulation in each direction in the environment analysis area and the area of the corresponding overlapping area of air circulation in each direction in the environment analysis area are collected, and the shortest interval time of air circulation in each direction in the environment analysis area and the area of the corresponding overlapping area of air circulation in each direction in the environment analysis area are respectively compared with a shortest interval time threshold value and an overlapping area threshold value.
If the shortest interval time of air circulation in each direction in the environment analysis region does not exceed the shortest interval time threshold value, or the area of the corresponding overlapping region of air circulation in each direction in the environment analysis region exceeds the area threshold value of the overlapping region, judging that the analysis corresponding to the environment analysis region is unqualified, generating an unqualified region signal and sending the unqualified region signal to an intelligent monitoring platform; if the shortest interval time of air circulation in each direction in the environment analysis area exceeds the shortest interval time threshold value and the area of the corresponding overlapping area of air circulation in each direction in the environment analysis area does not exceed the area threshold value of the overlapping area, the analysis corresponding to the environment analysis area is judged to be qualified, an area qualified signal is generated and sent to the limiting value limiting unit.
After the intelligent monitoring platform receives the unqualified area signal, if the corresponding environment analysis area is in a one-way air flow direction, the corresponding air circulation efficiency is increased, namely the air flow rate and the ventilation period are accelerated, and if the cost of the increase of the air circulation efficiency exceeds a cost threshold value, the air flow direction of the corresponding environment analysis area is set to be a non-one-way flow direction; if the corresponding environment analysis area is in a non-unidirectional air flow direction, if the air circulation interval time in each direction in the corresponding environment analysis area cannot be shortened or the area of the overlapped area of the air circulation in each direction cannot be reduced, the air flow direction corresponding to the environment analysis area is set to be in a unidirectional flow direction.
After the limiting value limiting unit receives the area qualified signals, limiting values of all sub-areas are limited, early warning values and warning values are set according to the influence of the number of microorganisms in all sub-areas, and management and control are carried out on the management and control cost of the microorganisms while the medicine storage efficiency can be guaranteed, so that the working efficiency of intelligent monitoring of the microorganisms can be improved.
Collecting the overproof time points of all the subregions, and marking the number of microorganisms of the subregions corresponding to the overproof time points as a preset early warning value; after the sub-area exceeds the standard time point, acquiring the time when the use qualification rate of the medicine in the corresponding sub-area is reduced, marking the time as an influence time point, and marking the number of microorganisms corresponding to the influence time point as a preset alarm value; in the present application, the number of microorganisms is expressed as the number of microorganisms on the surface of the worktable storing the medicine in the subregion.
If the difference duration between the overproof moment point of the sub-region and the influence moment point does not exceed the corresponding difference duration threshold, marking the preset early warning value of the corresponding sub-region as a selected warning value; and each subregion reduces the unit threshold number of the microorganisms according to the corresponding selected alarm value, and marks the number of the microorganisms after the quantity reduction as the selected alarm value of the corresponding subregion, wherein the unit threshold number of the microorganisms is expressed as the average microorganism growth number of the subregion in unit time, and the unit time is expressed as unit time set when the corresponding subregion carries out microorganism monitoring.
If the difference duration between the overproof moment point of the subarea and the influence moment point exceeds the corresponding difference duration threshold, marking the preset alarm value of the corresponding subarea as a selected alarm value of the subarea, reducing the threshold quantity of the microorganism unit by each subarea according to the corresponding selected alarm value, and marking the quantity of the microorganism after the quantity reduction as the selected early warning value of the corresponding subarea; and the selected early warning value is inconsistent with the preset early warning value, and the selected early warning value is greater than the preset early warning value.
And each sub-region acquires the selected early warning value and the selected alarm value, then sends the selected early warning value and the selected alarm value to the intelligent monitoring platform, and simultaneously generates a real-time data analysis signal and sends the real-time data analysis signal to the real-time data analysis unit.
After the real-time data analysis unit receives the real-time data analysis signal, the real-time data analysis unit carries out microorganism real-time data analysis on each subregion and judges the risk of the current subregion, so that the influence of microorganisms in the subregion on medicine storage is reduced, and the work efficiency of subregion medicine storage is improved.
If the number of the microorganisms in the sub-region exceeds the selected early warning value of the corresponding sub-region, the running state of the corresponding sub-region is marked as an early warning state; if the number of the microorganisms in the sub-area exceeds the selected alarm value of the corresponding sub-area, the running state of the corresponding sub-area is marked as a dangerous state; in the technical scheme of the step, the early warning value exceeding the selected value and the alarm value exceeding the selected value both comprise values equal to the corresponding values.
Acquiring interval time of an early warning state and a dangerous state of a subregion, marking the interval time as reaction time, marking microbial control of the subregion in the reaction time as non-effective control if the reaction time exceeds a corresponding time threshold, and sending a corresponding subregion number to an intelligent monitoring platform, wherein the intelligent monitoring platform adjusts the non-effective control of the corresponding subregion; and if the reaction time does not exceed the corresponding time threshold, the sub-region is in a dangerous state, and the selected early warning value of the sub-region is reduced and adjusted.
Example 2
When the quantum spectrum technology is applied to microorganism monitoring, the operation process is as follows:
a monitoring step: exciting microbial particles in each area to fluoresce by a laser, and marking the microbial particles as fluorescent signals; then, fluorescent signals are collected by an SPDC nonlinear crystal quantum sensor, quantum effect is utilized to receive spectrum signals, when laser is irradiated, the SPDC nonlinear crystal quantum sensor generates signal photons and idle photons, and the idle photons and the signal photons carry biological information of microorganism particles; the biological information of the microorganism particles is expressed as performance parameters of the microorganism particles, such as survival temperature or number increasing speed of microorganisms and other related performance parameters; signal photons and idle photons are subjected to conversion inversion processing through an EMCCD detector to obtain a microorganism quantum microscopic image, a receiving end is added with an amount submodule which comprises an injected quantum optical field vacuum compression state and a noise-free phase sensitive amplification, the injected quantum optical field vacuum compression state is shot noise corresponding to high-frequency information in a fuzzy image passing through a soft edge optical wave, the noise-free phase sensitive amplification is used for making up photon loss caused by insufficient quantum efficiency of the detector, and therefore the effects of improving resolution and image quality are achieved; and then analyzing whether the type and concentration of the microorganisms exceed a threshold value or not according to the microorganism quantum microscopic image under the data support of Internet big data.
The killing process comprises the following steps:
after the type of the microorganism is determined and the concentration of the microorganism of the corresponding type exceeds a corresponding concentration threshold value, carrying out spray disinfection on air and objects in the region with the excessive microorganism, and sending the number of the corresponding region to a mobile phone terminal of a manager; simultaneously, recording the starting moment of killing, analyzing the corresponding killing efficiency according to the multiple killing records and the concentration of microorganisms in the area, and managing personnel conducts killing management and control according to the killing efficiency.
The above formulas are obtained by collecting a large amount of data and performing software simulation, and the coefficients in the formulas are set by those skilled in the art according to actual conditions.
When the medical treatment system is used, the medicine storage areas are divided through the medical treatment area screening unit, and the monitoring periods of the medicine storage areas are set in a classified mode through analysis; dividing a medicine storage area into i sub-areas, analyzing and obtaining a microorganism monitoring coefficient and a microorganism influence analysis coefficient of each sub-area through the sub-areas, and analyzing and obtaining a monitoring period type of each sub-area according to a corresponding coefficient; performing environment analysis on the corresponding environment analysis areas through a regional environment analysis unit, and judging whether the microbial growth in each environment analysis area is influenced by the environment; generating a region qualified signal and a region unqualified signal through the analysis of the environment analysis region; limiting the limiting value of each sub-area through a limiting value limiting unit, and setting an early warning value and an alarm value according to the influence of the number of microorganisms in each sub-area; and carrying out real-time microbial data analysis on each subregion through a real-time data analysis unit, and carrying out monitoring control according to comparison of a real-time microbial value of each subregion with a selected early warning value and a selected alarm value of the corresponding subregion.
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 (6)
1. The utility model provides a microorganism intelligent monitoring system based on medical health safety, includes intelligent monitoring platform, its characterized in that is provided with in the intelligent monitoring platform:
the medical area screening unit is used for dividing the medicine storage areas and performing monitoring period classification setting on the medicine storage areas through analysis; dividing a medicine storage area into i sub-areas, wherein i is a natural number greater than 1, obtaining a microorganism monitoring coefficient and a microorganism influence analysis coefficient of each sub-area through sub-area analysis, and obtaining a monitoring period type of each sub-area according to corresponding coefficient analysis;
collecting the microbial quantity growth speed of the surface of the workbench corresponding to each sub-area and the medicine access frequency in the corresponding sub-area, and respectively marking the microbial quantity growth speed of the surface of the workbench corresponding to each sub-area and the medicine access frequency in the corresponding sub-area as WSwi and CQPi; by the formula
Obtaining microorganism monitoring coefficients Xi corresponding to all the sub-regions, wherein a1 and a2 are preset proportional coefficients, a1 is larger than a2 is larger than 0, and beta is an error correction factor and is 1.02;
collecting the time when the microbial quantity of the stored medicines in each subregion exceeds the standard in the historical storage process, marking the time as an exceeding standard time point, forming an exceeding standard time period according to the time from the exceeding standard time point to the time when the microbial quantity does not exceed the standard, collecting the use qualification rate of the corresponding stored medicines in the exceeding standard time period and the floating value of the storage time of the corresponding stored medicines, marking the use qualification rate of the corresponding stored medicines in the exceeding standard time period and the floating value of the storage time of the corresponding stored medicines as HGLi and FDZi, and adopting a formula to obtain the final product
Acquiring a microorganism influence analysis coefficient Ci in each sub-region, wherein a3 and a4 are preset proportional coefficients, a3 is more than a4 is more than 0, and alpha is an error correction factor and is 1.35;
the regional environment analysis unit is used for carrying out environment analysis on the corresponding environmental analysis regions, marking the corresponding region with the microorganism monitoring coefficient exceeding the monitoring coefficient threshold value as the environmental analysis region, and judging whether the microorganism growth in each environmental analysis region is influenced by the environment; analyzing and generating a region qualified signal and a region unqualified signal through an environment analysis region, and correspondingly sending the region qualified signal and the region unqualified signal to a limit value limiting unit and an intelligent monitoring platform;
the limiting value limiting unit is used for limiting the limiting value of each subarea and setting an early warning value and an alarm value according to the influence of the number of microorganisms in each subarea; after acquiring the selected early warning value and the selected warning value in each sub-region, sending the selected early warning value and the selected warning value to an intelligent monitoring platform;
and the real-time data analysis unit is used for carrying out microorganism real-time data analysis on each subregion and carrying out monitoring control according to comparison between the microorganism real-time value of each subregion and the selected early warning value and the selected alarm value of the corresponding subregion.
2. The intelligent monitoring system for microorganisms based on medical health safety as claimed in claim 1, wherein:
respectively comparing the microorganism monitoring coefficient and the microorganism influence analysis coefficient of each subregion with a monitoring coefficient threshold value and an influence analysis threshold value, and setting monitoring cycle types for each subregion, wherein the monitoring cycle types comprise a primary monitoring cycle, a secondary monitoring cycle, a tertiary monitoring cycle and a quaternary monitoring cycle; the monitoring periods are a first-level monitoring period, a second-level monitoring period, a third-level monitoring period and a fourth-level monitoring period from small to large.
3. The intelligent microorganism monitoring system based on medical health safety as claimed in claim 1, wherein the regional environment analysis unit operates as follows:
setting a mark o in the environment analysis area, wherein the mark o is a natural number greater than 1;
when the air flow direction in the environment analysis area is unidirectional, acquiring the average flow speed of air circulation in the environment analysis area and the average period of ventilation completed in the corresponding environment analysis area, respectively marking the average flow speed and the average period, and respectively comparing the average flow speed and the average period with an average flow speed threshold value and an average period threshold value:
if the average flow velocity exceeds the average flow velocity threshold value and the average period does not exceed the average period threshold value, judging that the analysis of the corresponding environment analysis area is qualified, generating an area qualified signal and sending the area qualified signal to a limiting value limiting unit; and if the average flow rate does not exceed the average flow rate threshold or the average period exceeds the average period threshold, judging that the analysis of the corresponding environment analysis area is unqualified, generating an area unqualified signal and sending the area unqualified signal to the intelligent monitoring platform.
4. The intelligent monitoring system for microorganisms based on medical health safety according to claim 3, characterized in that when the air flow direction in the environmental analysis area is non-unidirectional, the shortest interval time of air circulation in each direction in the environmental analysis area and the area of the overlapping area corresponding to air circulation in each direction in the environmental analysis area are collected and marked as the circulation interval time and the area of the overlapping area respectively, and the circulation interval time and the area of the overlapping area are compared with the shortest interval time threshold and the overlapping area threshold respectively:
if the circulation interval time does not exceed the shortest interval time threshold or the area of the overlapped region exceeds the area threshold of the overlapped region, judging that the analysis of the corresponding environment analysis region is unqualified, generating a region unqualified signal and sending the region unqualified signal to the intelligent monitoring platform; and if the circulation interval time exceeds the shortest interval time threshold and the area of the overlapped region does not exceed the area threshold of the overlapped region, judging that the analysis corresponding to the environment analysis region is qualified, generating a region qualified signal and sending the region qualified signal to the limiting value limiting unit.
5. The intelligent microorganism monitoring system based on medical health safety as claimed in claim 1, wherein the limiting value limiting unit operates as follows:
collecting the overproof time points of all the subregions, and marking the number of microorganisms of the subregions corresponding to the overproof time points as a preset early warning value; after the sub-area exceeds the standard time point, acquiring the time when the use qualification rate of the medicine in the corresponding sub-area is reduced, marking the time as an influence time point, and marking the number of microorganisms corresponding to the influence time point as a preset alarm value;
if the difference duration between the overproof moment point of the sub-region and the influence moment point does not exceed the corresponding difference duration threshold, marking the preset early warning value of the corresponding sub-region as a selected warning value; each subregion reduces the unit threshold number of the microorganisms according to the corresponding selected alarm value, and marks the number of the microorganisms after the quantity reduction as the selected alarm value of the corresponding subregion;
if the difference duration between the overproof moment point of the subarea and the influence moment point exceeds the corresponding difference duration threshold, marking the preset alarm value of the corresponding subarea as a selected alarm value of the subarea, reducing the threshold quantity of the microorganism unit by each subarea according to the corresponding selected alarm value, and marking the quantity of the microorganism after the quantity reduction as the selected early warning value of the corresponding subarea; and the selected early warning value is inconsistent with the preset early warning value, and the selected early warning value is greater than the preset early warning value.
6. The intelligent microorganism monitoring system based on medical health safety as claimed in claim 1, wherein the real-time data analysis unit operates as follows:
if the number of the microorganisms in the sub-region exceeds the selected early warning value of the corresponding sub-region, the running state of the corresponding sub-region is marked as an early warning state; if the number of the microorganisms in the sub-area exceeds the selected alarm value of the corresponding sub-area, the running state of the corresponding sub-area is marked as a dangerous state; acquiring interval time of an early warning state and a dangerous state of a subregion, marking the interval time as reaction time, marking microbial control of the subregion in the reaction time as non-effective control if the reaction time exceeds a corresponding time threshold, and sending a corresponding subregion number to an intelligent monitoring platform, wherein the intelligent monitoring platform adjusts the non-effective control of the corresponding subregion; and if the reaction time does not exceed the corresponding time threshold, the sub-region is in a dangerous state, and the selected early warning value of the sub-region is reduced and adjusted.
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Denomination of invention: A Microbial Intelligent Monitoring System Based on Medical and Health Safety Granted publication date: 20220805 Pledgee: Bank of Beijing Co.,Ltd. Jinan Branch Pledgor: SHANDONG RUNYI INTELLIGENT TECHNOLOGY Co.,Ltd. Registration number: Y2024980006017 |
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Granted publication date: 20220805 Pledgee: Bank of Beijing Co.,Ltd. Jinan Branch Pledgor: SHANDONG RUNYI INTELLIGENT TECHNOLOGY Co.,Ltd. Registration number: Y2024980006017 |