CN115355949A - Intelligent monitoring system is stored to pharmacy raw and other materials based on it is visual - Google Patents
Intelligent monitoring system is stored to pharmacy raw and other materials based on it is visual Download PDFInfo
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Abstract
The invention discloses an intelligent monitoring system for pharmaceutical raw material storage based on visualization. The intelligent monitoring system for storing the pharmaceutical raw materials based on visualization comprises a material storage information acquisition module, a material monitoring area setting module, a material storage environment monitoring module, a material storage environment analysis module, a material storage electric power parameter monitoring module, a material storage environment weight setting module, a material storage comprehensive analysis module and a material storage early warning terminal; the problem that the current technology monitoring dimension is too single is effectively solved, the limitation in the current general monitoring technology is broken, the monitoring strength and the monitoring intensity of the storage environment of the pharmaceutical raw materials are effectively improved, the reliability, the reasonability and the reference of the monitoring result of the storage environment of the pharmaceutical raw materials are greatly improved, the one-sidedness in the current monitoring mode is avoided, and meanwhile, the accuracy and the timeliness of the early warning of the storage environment of the pharmaceutical raw materials are greatly improved.
Description
Technical Field
The invention belongs to the technical field of medicinal material storage management, and relates to an intelligent monitoring system for pharmaceutical raw material storage based on visualization.
Background
The quality of the raw materials of the medicine is taken as the primary premise of the quality of the medicine preparation, and the importance degree of the raw materials of the medicine is self-evident, the current medicine production is basically mass production, a large amount of raw materials of the medicine can be purchased at regular intervals, the raw materials like traditional Chinese medicine and the like have higher requirements on the storage environment, and if the preservation method is not noticed, the original efficacy of the traditional Chinese medicine is easily reduced, so that the importance of the storage and monitoring of the raw materials of the medicine is highlighted;
at present to the storage monitoring of pharmacy raw and other materials still stay in conventional monitoring mode, carry out conventional monitoring to environmental parameter such as temperature, humidity in the storage area of each pharmacy raw and other materials promptly, the dimension is comparatively single, and the sensitive degree of pharmacy raw and other materials to the environment is higher, and current environmental monitoring mode obviously has certain limitation, and its concrete embodiment is in following several aspects:
1. the environment of different positions in the pharmaceutical storage warehouse is different, such as the ground, a window, an outer wall and the like, and is easily interfered by the external environment, so that medicinal materials in the areas are most easily damaged, currently, the environment monitoring is only carried out according to the positions of the areas where the pharmaceutical raw materials are placed, the monitoring mode is too general, the coverage rate is not high, the monitoring strength is not strong, and therefore the reliability, the rationality and the reference of the storage environment monitoring result of the pharmaceutical raw materials cannot be improved, and the storage environment state of the pharmaceutical raw materials cannot be visually displayed;
2. the fresh air system and the sterilization equipment are generally used for environment regulation and control in the pharmaceutical storage warehouse, so that the storage quality of pharmaceutical raw materials is maintained, the running conditions of the equipment directly influence the storage environment conditions of the pharmaceutical raw materials, the storage environment conditions are not analyzed at present, certain one-sidedness exists, the reference basis of pharmaceutical raw material storage environment analysis cannot be expanded, and the accuracy and timeliness of pharmaceutical raw material storage environment early warning cannot be improved;
3. the storage period and the storage quality of the pharmaceutical raw materials are affected by the storage environment, the requirement on the stability of the environment is high, when the environment fluctuates, the storage period, the storage quality and the like of the pharmaceutical raw materials can be changed, the storage period of the pharmaceutical raw materials is not analyzed through a scientific mode and visual data at present, the storage management personnel of the pharmaceutical raw materials cannot perform timely management conveniently, the storage waste rate of the pharmaceutical raw materials cannot be effectively reduced, and the production cost of medicines cannot be reduced.
Disclosure of Invention
In view of this, in order to solve the problems in the background art, an intelligent monitoring system for storing pharmaceutical raw materials based on visualization is proposed;
the purpose of the invention can be realized by the following technical scheme:
the invention provides a visualization-based pharmaceutical raw material storage intelligent monitoring system, which comprises:
the material storage information acquisition module is used for acquiring storage warehouse information corresponding to the target pharmaceutical raw material, wherein the storage warehouse information comprises the set quality guarantee days corresponding to the target pharmaceutical raw material and the positions of the set storage areas;
the material monitoring area setting module is used for setting the storage monitoring areas to obtain each basic storage monitoring area and each key storage monitoring area, and arranging environment monitoring equipment in each basic storage monitoring area and each key storage monitoring area;
the material storage environment monitoring module is used for monitoring material storage environments through environment monitoring equipment arranged in each basic storage monitoring area and each key storage environment monitoring area according to a set monitoring time interval to obtain storage environment information corresponding to each basic storage monitoring area and each key storage monitoring area in each monitoring time period;
the material storage environment analysis module is used for analyzing and obtaining storage environment standard coefficients corresponding to the target pharmaceutical raw materials according to storage environment information corresponding to each basic storage monitoring area and each key storage environment monitoring area in each monitoring time period, and recording the storage environment standard coefficients as lambda;
the material storage power parameter monitoring module is used for setting a power monitoring time period and monitoring power parameters corresponding to each environment regulation and control device in each power monitoring time period, wherein the power parameters are running current and running voltage;
the material storage environment weight setting module is used for setting the fluctuation influence weight of the storage environment of the target pharmaceutical raw material based on the power parameters corresponding to the environment regulation and control equipment in each power monitoring time period;
the material storage comprehensive analysis module is used for comprehensively analyzing to obtain a storage quality interference evaluation coefficient of the target pharmaceutical raw material according to the storage environment standard coefficient and the storage environment fluctuation influence weight corresponding to the target pharmaceutical raw material and confirming the quality early warning date;
and the material storage early warning terminal is used for performing storage quality early warning when the target pharmaceutical raw material reaches the quality early warning date.
In a preferred embodiment of the present invention, the setting of the storage monitoring area includes the following steps:
dividing a storage warehouse corresponding to the target pharmaceutical raw materials into basic storage monitoring areas based on the positions of the target pharmaceutical raw materials corresponding to the set storage areas;
warehouse image acquisition is carried out through a camera arranged in a storage warehouse corresponding to the target pharmaceutical raw material, the storage environment interference area of each pharmaceutical raw material is identified, and the storage environment interference area of each pharmaceutical raw material is used as each key storage monitoring area.
In a preferred embodiment of the present invention, the storage environment interference area of each pharmaceutical raw material includes a peripheral outer wall area, a roof area and a ground area.
In a preferred embodiment of the present invention, the storage environment information includes temperature, humidity and dust concentration.
In a preferred embodiment of the present invention, the specific analysis process for analyzing and obtaining the storage environment specification coefficient corresponding to the target pharmaceutical raw material comprises the following steps:
the method comprises the steps that each basic storage monitoring area is sequentially numbered as 1,2,. Eta,. N according to a set sequence, and each monitoring time period is sequentially numbered as 1,2,. Eta,. P according to a monitoring time sequence;
the temperature, humidity and dust concentration are positioned from the corresponding storage environment information of each basic storage monitoring area in each monitoring time period and are respectively marked as w it 、s it 、c it And x it I denotes a base storage monitoring area number, i =1, 2.... N, t denotes a monitoring period number, t =1, 2.... P;
screening the maximum temperature, the minimum temperature, the maximum humidity, the minimum humidity, the maximum dust concentration and the minimum dust concentration from the corresponding storage environment information of each basic storage monitoring area in each monitoring time period, and respectively recording the maximum temperature, the minimum temperature, the maximum humidity, the minimum humidity, the maximum dust concentration and the minimum dust concentration as w max 、w min 、s max 、s min 、c max And c min And then each base is obtained by analysis of an analytical formulaThe corresponding storage environment adaptation coefficient of the basic storage monitoring area is recorded as beta i ；
The key storage monitoring areas are numbered as 1,2,. J,. M in sequence according to a set sequence, and the temperature, the humidity and the dust concentration are positioned from the storage environment information corresponding to the monitoring time periods of the key storage monitoring areas, and are respectively marked as w' jt 、s′ jt 、c′ jt And x' jt J denotes the key storage monitoring area number, j =1, 2.... M;
screening the highest temperature, the lowest temperature, the highest humidity, the lowest humidity, the highest dust concentration and the lowest dust concentration from the corresponding storage environment information of each key storage monitoring area in each monitoring time period, and recording the temperatures as w' max 、w′ min 、s′ max 、s′ min 、c′ max And c' min And further obtaining storage environment adaptation coefficients corresponding to the key storage monitoring areas through analysis of an analysis formula, and recording the storage environment adaptation coefficients as delta j ；
Based on the storage environment adaptive coefficients corresponding to the basic storage monitoring areas and the storage environment adaptive coefficients corresponding to the key monitoring areas, the storage environment adaptive coefficients are analyzed by an analysis formula
And analyzing to obtain a storage environment standard coefficient lambda corresponding to the target pharmaceutical raw material, wherein e represents a natural number, epsilon 1 and epsilon 2 are respectively correction factors corresponding to the storage environment adaptation coefficients of the set basic storage monitoring area and the set key storage monitoring area, and beta 'and delta' are respectively the storage environment adaptation coefficients of the set reference standard storage monitoring area and the storage environment adaptation coefficients of the reference key storage monitoring area.
In a preferred embodiment of the present invention, the storage environment adaptation coefficient corresponding to each basic storage monitoring area is specifically analyzed by the following formula
Wherein tau 1 and tau 2 are respectively corresponding to a storage environment deviation coefficient and a storage environment fluctuation coefficient of a set basic storage monitoring areaWeight of the ratio, φ 1 i 、φ2 i Respectively representing the storage environment deviation coefficient and the storage environment fluctuation coefficient corresponding to the ith basic storage monitoring area;
in the above-mentioned description of the invention,
a1, a2 and a3 respectively represent deviation weight factors corresponding to the temperature, the humidity and the dust concentration in a set basic storage monitoring area, delta w and delta s respectively represent allowable temperature deviation and allowable humidity deviation in the set basic storage monitoring area, c' represents allowable dust concentration of target pharmaceutical raw materials in the set basic storage monitoring area, and sigma represents a set storage environment deviation correction factor;
In a preferred embodiment of the present invention, the storage environment adaptation coefficient corresponding to each key storage monitoring area is specifically analyzed by the formula
Tau 3 and tau 4 are respectively the proportion weight corresponding to the storage environment deviation coefficient and the storage environment fluctuation coefficient of the set key storage monitoring area,
respectively representing a storage environment deviation coefficient and a storage environment fluctuation coefficient corresponding to the jth key storage monitoring area;
in the above-mentioned description of the invention,
Δ w 'and Δ s' are respectively represented byThe method comprises the steps that a set key storage monitoring area permits temperature difference and humidity difference, c' is set key storage monitoring area permit dust concentration, mu 0 is set key storage monitoring area environment correction factor, b1, b2 and b3 are respectively expressed as deviation weight factors corresponding to the set key storage monitoring area temperature, humidity and dust concentration;
In a preferred embodiment of the present invention, the setting of the target pharmaceutical raw material storage environment fluctuation influence weight is performed by the following specific setting process:
marking each electric power monitoring time period as 1,2,. F,. G in sequence according to monitoring time, and numbering each environment regulation and control device as 1,2,. K,. H in sequence according to a set sequence;
positioning current and voltage from power parameters corresponding to each environment regulation and control device in each power monitoring time period, and recording the current and the voltage as I f k And U f k F denotes a power monitoring period number, f =1,2,... G, k denotes an environment conditioning device number, k =1,2,... H;
respectively substituting the current and the voltage corresponding to each environment regulation and control device in each power monitoring time period into a primary fluctuation weight formula
In the method, the first-level fluctuation influence weights psi 1, I 'and U' of the storage environment of the target pharmaceutical raw material are obtained through analysis and are respectively expressed as the set reference operating current and the set reference operating voltage, d1 and d2 are respectively expressed as the first-level fluctuation ratio weights corresponding to the set current and the set voltage,
a set primary fluctuation correction factor;
comparing the current and the voltage corresponding to each environment regulation and control device in each power monitoring time period, screening out the maximum current, the minimum current, the maximum voltage and the minimum voltage corresponding to each environment regulation and control device, and respectively marking as I max k 、I min k 、U max k And U min k And simultaneously extracting the power monitoring time periods corresponding to the maximum current, the minimum current, the maximum voltage and the minimum voltage of each environment regulation and control device, and recording the power monitoring time periods as the power monitoring time periods
And
by a secondary fluctuation weight formula
In the method, the influence weight psi 2 of the secondary fluctuation of the storage environment of the target pharmaceutical raw material is obtained through analysis, d3 and d4 are respectively expressed as the proportion weight of the secondary fluctuation corresponding to the set current change and voltage change, and q is 0 、q 1 Respectively set allowable current change rate and allowable voltage change rate,
setting a second-level fluctuation correction factor;
according to the primary fluctuation influence weight psi 1 of the storage environment of the target pharmaceutical raw materials and the secondary fluctuation influence weight psi 2 of the storage environment, analyzing the formula
And analyzing to obtain a fluctuation influence weight xi of the storage environment of the target pharmaceutical raw material, wherein alpha 1 and alpha 2 are respectively expressed as correction factors corresponding to the set primary fluctuation influence weight and the set secondary fluctuation influence weight of the storage environment.
In a preferred embodiment of the present invention, the target pharmaceutical raw material storage massThe interference evaluation coefficient is specifically calculated by the formula
R is a storage quality interference evaluation coefficient corresponding to the target pharmaceutical raw material, and lambda' is a set reference storage environment specification coefficient.
In a preferred embodiment of the present invention, the confirming the quality warning date comprises the following steps:
substituting the storage quality interference evaluation coefficient R corresponding to the target pharmaceutical raw material into a calculation formula T Prediction of ＝T 0 *24-T 0 *24*R+T Compensation Obtaining the predicted storage quality guarantee time T corresponding to the target pharmaceutical raw material Prediction of ，T 0 Set quality guarantee days, T, corresponding to target pharmaceutical raw materials Compensating for Compensating days for the set target pharmaceutical raw material;
based on the predicted storage quality guarantee time corresponding to the target pharmaceutical raw material, utilizing a calculation formula
And calculating to obtain the quality early warning date corresponding to the target pharmaceutical raw material.
Compared with the prior art, the invention has the following beneficial effects:
(1) According to the visualized intelligent monitoring system for storing the pharmaceutical raw materials, the storage warehouse information corresponding to the target pharmaceutical raw materials is obtained, the material monitoring areas are set, the storage environment information is monitored by utilizing the environment monitoring equipment arranged in each material monitoring area, meanwhile, the power parameters corresponding to each environment regulation and control equipment of the storage warehouse corresponding to the target pharmaceutical raw materials are monitored, the storage quality interference evaluation coefficient of the target pharmaceutical raw materials is obtained through comprehensive analysis, and the quality early warning date is confirmed, so that the problem that the monitoring dimensionality of the current technology is too single is effectively solved, the limitation in the current general monitoring technology is broken, the monitoring strength and the monitoring intensity of the storage environment of the pharmaceutical raw materials are effectively improved, the reliability, the rationality and the referential of the monitoring result of the storage environment of the pharmaceutical raw materials are greatly improved, and the storage environment state of the pharmaceutical raw materials is displayed through visual data; on one hand, the reference basis of analysis of the storage environment of the pharmaceutical raw materials is expanded by monitoring and analyzing the electric power parameters of the environment monitoring equipment, one-sidedness in the current monitoring mode is avoided, and the accuracy and timeliness of early warning of the storage environment of the pharmaceutical raw materials are greatly improved; on the other hand, the storage period of the pharmaceutical raw materials is analyzed in a scientific mode and visual data, visualization of the storage period of the target pharmaceutical raw materials is achieved, and subsequent pharmaceutical raw material storage management personnel can manage the storage period conveniently in time, so that the storage abandonment rate of the pharmaceutical raw materials is effectively reduced, the production cost of the medicines is effectively reduced, the practicability is high, and the intelligent level is high.
(2) According to the method, the coverage rate and the comprehensiveness of monitoring the storage environment of the pharmaceutical raw materials are effectively improved by setting the basic storage monitoring area and the key storage monitoring area in the material monitoring area setting module, the targeted monitoring of the pharmaceutical raw materials is realized, the authenticity and the accuracy of the pharmaceutical raw material monitoring data are guaranteed to the greatest extent, and therefore reliable data support is provided for the analysis of the subsequent target pharmaceutical raw material storage quality interference evaluation coefficient.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the description below are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic diagram showing the connection of modules of the system of the present invention.
Detailed Description
While the foregoing is directed to embodiments of the present invention, other and further embodiments of the invention may be devised without departing from the basic scope thereof, and the scope thereof is determined by the claims that follow.
Referring to fig. 1, the invention provides a visualization-based intelligent monitoring system for pharmaceutical raw material storage, which comprises a material storage information acquisition module, a material monitoring area setting module, a material storage environment monitoring module, a material storage environment analysis module, a material storage electric power parameter monitoring module, a material storage environment weight setting module, a material storage comprehensive analysis module and a material storage early warning terminal;
the storage area information acquisition module is respectively connected with the material monitoring area setting module and the material storage comprehensive analysis module, the material storage environment monitoring module is respectively connected with the material monitoring area setting module and the material storage environment analysis module, the material storage electric power parameter monitoring module is connected with the material storage environment weight setting module, and the material storage comprehensive analysis module is respectively connected with the material storage environment analysis module, the material storage environment weight setting module and the material storage early warning terminal;
the material storage information acquisition module is used for acquiring storage warehouse information corresponding to the target pharmaceutical raw materials, wherein the storage warehouse information comprises the set quality guarantee days corresponding to the stored target pharmaceutical raw materials and the positions of the set storage areas;
the material monitoring area setting module is used for setting storage monitoring areas to obtain each basic storage monitoring area and each key storage monitoring area, and arranging environment monitoring equipment in each basic storage monitoring area and each key storage monitoring area;
specifically, the storage monitoring area setting is performed, and the specific setting process includes the following steps:
dividing a storage warehouse corresponding to the target pharmaceutical raw material into basic storage monitoring areas based on the positions of the target pharmaceutical raw material corresponding to the set storage areas;
the method comprises the steps of carrying out warehouse image acquisition through a camera arranged in a storage warehouse corresponding to a target pharmaceutical raw material, identifying storage environment interference areas of the pharmaceutical raw materials from the warehouse image acquisition, and using the storage environment interference areas of the pharmaceutical raw materials as key storage monitoring areas.
When needing to be explained, each storage environment interference area of pharmaceutical raw materials includes peripheral outer wall area, roof area and ground area.
It should also be noted that the environment monitoring device includes a temperature sensor, a humidity sensor, and a dust concentration sensor.
According to the embodiment of the invention, the coverage rate and comprehensiveness of monitoring the storage environment of the pharmaceutical raw materials are effectively improved by setting the basic storage monitoring area and the key storage monitoring area in the material monitoring area setting module, the targeted monitoring of the pharmaceutical raw materials is realized, the authenticity and the accuracy of the pharmaceutical raw material monitoring data are guaranteed to the greatest extent, and reliable data support is provided for the analysis of the subsequent target pharmaceutical raw material storage quality interference evaluation coefficient.
The material storage environment monitoring module is used for monitoring material storage environments through environment monitoring equipment arranged in each basic storage monitoring area and each key storage environment monitoring area according to a set monitoring time interval to obtain storage environment information corresponding to each basic storage monitoring area and each key storage monitoring area in each monitoring time period, wherein the storage environment information comprises temperature, humidity and dust concentration.
It should be noted that, in the embodiment of the present invention, storage management of the pharmaceutical raw materials of the traditional Chinese medicine type medicine is performed, and the requirements of the pharmaceutical raw materials on temperature, humidity, and the like are very strict, and the dust concentration also affects the drug properties of the medicinal materials, so that monitoring is performed from the three environmental parameter levels.
The material storage environment analysis module is used for analyzing and obtaining storage environment standard coefficients corresponding to the target pharmaceutical raw materials according to storage environment information corresponding to each basic storage monitoring area and each key storage environment monitoring area in each monitoring time period, and recording the storage environment standard coefficients as lambda;
illustratively, the specific analysis process for analyzing and obtaining the storage environment specification coefficient corresponding to the target pharmaceutical raw material comprises the following steps:
a1, numbering each basic storage monitoring area as 1,2, a.i., n according to a set sequence, and numbering each monitoring time period as 1,2, a.t., p according to a monitoring time sequence;
a2, positioning the temperature, the humidity and the dust concentration from the corresponding storage environment information of each basic storage monitoring area in each monitoring time period, and respectively recording as w it 、s it 、c it And x it I denotes a base storage monitoring area number, i =1, 2.... N, t denotes a monitoring period number, t =1, 2.... P;
a3, screening the highest temperature, the lowest temperature, the highest humidity, the lowest humidity, the highest dust concentration and the lowest dust concentration from the corresponding storage environment information of each basic storage monitoring area in each monitoring time period, and respectively recording the temperatures as w max 、w min 、s max 、s min 、c max And c min And further obtaining storage environment adaptation coefficients corresponding to the basic storage monitoring areas through analysis of an analysis formula, and recording the storage environment adaptation coefficients as beta i ；
Understandably, the storage environment adaptation coefficient corresponding to each basic storage monitoring area is specifically analyzed by the formula
Wherein, tau 1 and tau 2 are respectively the storage environment deviation coefficient of the set basic storage monitoring area and the proportion weight corresponding to the storage environment fluctuation coefficient, phi 1 i 、φ2 i Respectively representing the storage environment deviation coefficient and the storage environment fluctuation coefficient corresponding to the ith basic storage monitoring area;
in the above-mentioned description,
a1, a2 and a3 are respectively expressed as deviation weight factors corresponding to the temperature, the humidity and the dust concentration in the set basic storage monitoring area, delta w and delta s are respectively expressed as allowable temperature deviation and allowable humidity deviation in the set basic storage monitoring area, and c' is the set basic storage monitoring areaAllowable dust concentration of target pharmaceutical raw materials in the domain, wherein sigma is a set storage environment deviation correction factor;
a4, numbering the key storage monitoring areas as 1,2,. J,. M in sequence according to a set sequence, and locating the temperature, the humidity and the dust concentration from the storage environment information corresponding to the key storage monitoring areas in the monitoring time periods, wherein the temperature, the humidity and the dust concentration are marked as w' jt 、s′ jt 、c′ jt And x' jt J denotes a key storage monitoring area number, j =1, 2.. M;
a5, screening the highest temperature, the lowest temperature, the highest humidity, the lowest humidity, the highest dust concentration and the lowest dust concentration from the corresponding storage environment information of each key storage monitoring area in each monitoring time period, and recording the temperatures as w' max 、w′ min 、s′ max 、s′ min 、c′ max And c' min And further analyzing by an analysis formula to obtain storage environment adaptation coefficients corresponding to the key storage monitoring areas and recording as delta j ；
Understandably, the storage environment adaptation coefficient corresponding to each key storage monitoring area is specifically analyzed by the formula
Tau 3 and tau 4 are respectively the proportion weight corresponding to the storage environment deviation coefficient and the storage environment fluctuation coefficient of the set key storage monitoring area,
respectively expressed as the storage environment deviation coefficient and the storage corresponding to the jth key storage monitoring areaAn environmental fluctuation coefficient;
in the above-mentioned description,
Δ w ' and Δ s ' are respectively expressed as allowable temperature difference and allowable humidity difference in a set key storage monitoring area, c ' is allowable dust concentration in the set key storage monitoring area, μ 0 is a set key storage monitoring area environment correction factor, b1, b2 and b3 are respectively expressed as deviation weight factors corresponding to the temperature, the humidity and the dust concentration in the set key storage monitoring area;
a6, based on the storage environment adaptive coefficients corresponding to the basic storage monitoring areas and the storage environment adaptive coefficients corresponding to the key monitoring areas, analyzing the storage environment adaptive coefficients according to an analysis formula
And analyzing to obtain a storage environment standard coefficient lambda corresponding to the target pharmaceutical raw material, wherein e represents a natural number, epsilon 1 and epsilon 2 are respectively correction factors corresponding to the storage environment adaptation coefficients of the set basic storage monitoring area and the set key storage monitoring area, and beta 'and delta' are respectively storage environment adaptation coefficients of the set reference standard storage monitoring area and the set key storage monitoring area.
The material storage power parameter monitoring module is used for setting a power monitoring time period and monitoring power parameters corresponding to each environment regulation and control device in each power monitoring time period, wherein the power parameters are running current and running voltage;
when needing to be explained, the environment regulation and control equipment comprises but is not limited to an air conditioner and a dehumidifier;
the material storage environment weight setting module is used for setting the fluctuation influence weight of the storage environment of the target pharmaceutical raw material based on the power parameters corresponding to the environment regulation and control equipment in each power monitoring time period;
illustratively, the target pharmaceutical raw material storage environment fluctuation influence weight setting is carried out by the following specific setting processes:
b1, sequentially marking each power monitoring time period as 1,2, a.f., a.g., according to monitoring time, and sequentially numbering each environment regulation and control device as 1,2, a.k,. H according to a set sequence;
b2, positioning current and voltage from power parameters corresponding to each environment regulation and control device in each power monitoring time period, and respectively recording the current and the voltage as I f k And U f k F denotes a power monitoring period number, f =1,2,... G, k denotes an environment conditioning device number, k =1,2,... H;
b3, substituting the current and the voltage corresponding to each environment regulation and control device in each power monitoring time period into a primary fluctuation weight formula respectively
In the method, the first-level fluctuation influence weights psi 1, I 'and U' of the storage environment of the target pharmaceutical raw material are obtained through analysis and are respectively expressed as the set reference operating current and the set reference operating voltage, d1 and d2 are respectively expressed as the first-level fluctuation ratio weights corresponding to the set current and the set voltage,
a set primary fluctuation correction factor;
b4, comparing the current and the voltage corresponding to each environment regulation and control device in each power monitoring time period, screening out the maximum current, the minimum current, the maximum voltage and the minimum voltage corresponding to each environment regulation and control device from the current and the voltage, and respectively marking as I max k 、I min k 、U max k And U min k Simultaneously extracting the maximum current, the minimum current, the maximum voltage and the minimum power corresponding to each environment regulation and control deviceThe corresponding power monitoring time periods are recorded as
And
by a secondary fluctuation weight formula
In the method, the influence weight psi 2 of the secondary fluctuation of the storage environment of the target pharmaceutical raw material is obtained through analysis, d3 and d4 are respectively expressed as the proportion weight of the secondary fluctuation corresponding to the set current change and voltage change, and q is 0 、q 1 Respectively set allowable current change rate and allowable voltage change rate,
setting a second-level fluctuation correction factor;
b5, analyzing the primary fluctuation influence weight psi 1 and the secondary fluctuation influence weight psi 2 of the storage environment according to the target pharmaceutical raw material storage environment
And analyzing to obtain a fluctuation influence weight xi of the storage environment of the target pharmaceutical raw material, wherein alpha 1 and alpha 2 are respectively expressed as correction factors corresponding to the set primary fluctuation influence weight and the set secondary fluctuation influence weight of the storage environment.
The material storage comprehensive analysis module is used for comprehensively analyzing to obtain a storage quality interference evaluation coefficient of the target pharmaceutical raw material according to the storage environment specification coefficient and the storage environment fluctuation influence weight corresponding to the target pharmaceutical raw material, and confirming the quality early warning date;
illustratively, the storage quality interference evaluation coefficient of the target pharmaceutical raw material is specifically calculated as
R represents a storage quality interference evaluation coefficient corresponding to the target pharmaceutical raw material, and lambda' is a set reference storage ringAnd (4) a environmental specification coefficient.
Yet another exemplary, confirming the quality pre-alarm date, with the confirmation process comprising the steps of:
substituting the storage quality interference evaluation coefficient R corresponding to the target pharmaceutical raw material into a calculation formula T Prediction of ＝T 0 *24-T 0 *24*R+T Compensation Obtaining the predicted storage quality guarantee time T corresponding to the target pharmaceutical raw material Prediction of ，T 0 Set quality guarantee days, T, corresponding to target pharmaceutical raw materials Compensation Compensating days for the set target pharmaceutical raw material;
based on the predicted storage quality guarantee time corresponding to the target pharmaceutical raw material, utilizing a calculation formula
And calculating to obtain the quality early warning date corresponding to the target pharmaceutical raw material.
And the material storage early warning terminal is used for performing storage quality early warning when the target pharmaceutical raw material reaches the quality early warning date.
According to the embodiment of the invention, the storage warehouse information corresponding to the target pharmaceutical raw materials is obtained, the material monitoring areas are set, the storage environment information is monitored by utilizing the environment monitoring equipment arranged in each material monitoring area, and the power parameters corresponding to the environment regulating and controlling equipment of the storage warehouse corresponding to the target pharmaceutical raw materials are monitored, so that the interference evaluation coefficient of the storage quality of the target pharmaceutical raw materials is obtained through comprehensive analysis, and the quality early warning date is confirmed, on one hand, the problem that the monitoring dimension of the current technology is too single is effectively solved, the limitation of the current general monitoring technology is broken, the monitoring strength and monitoring intensity of the storage environment of the pharmaceutical raw materials are effectively improved, the reliability, rationality and reference of the monitoring result of the storage environment of the pharmaceutical raw materials are greatly improved, and the storage environment state of the pharmaceutical raw materials is displayed through visual data; on one hand, the reference basis of the analysis of the storage environment of the pharmaceutical raw materials is expanded by monitoring and analyzing the electric power parameters of the environment monitoring equipment, the one-sidedness in the current monitoring mode is avoided, and the accuracy and timeliness of the early warning of the storage environment of the pharmaceutical raw materials are greatly improved; on the other hand, the storage period of the pharmaceutical raw materials is analyzed in a scientific mode and visual data, visualization of the storage period of the target pharmaceutical raw materials is achieved, and subsequent pharmaceutical raw material storage management personnel can manage the storage period conveniently in time, so that the storage abandonment rate of the pharmaceutical raw materials is effectively reduced, the production cost of the medicines is effectively reduced, the practicability is high, and the intelligent level is high.
The foregoing is merely exemplary and illustrative of the principles of the present invention and various modifications, additions and substitutions of the specific embodiments described herein may be made by those skilled in the art without departing from the principles of the present invention or exceeding the scope of the claims set forth herein.
Claims (10)
1. The utility model provides an intelligent monitoring system is stored to pharmacy raw and other materials based on it is visual which characterized in that: the system comprises:
the material storage information acquisition module is used for acquiring storage warehouse information corresponding to the target pharmaceutical raw materials, wherein the storage warehouse information comprises the set quality guarantee days corresponding to the stored target pharmaceutical raw materials and the positions of the set storage areas;
the material monitoring area setting module is used for setting the storage monitoring areas to obtain each basic storage monitoring area and each key storage monitoring area, and distributing environment monitoring equipment in each basic storage monitoring area and each key storage monitoring area;
the material storage environment monitoring module is used for monitoring the material storage environment through environment monitoring equipment arranged in each basic storage monitoring area and each key storage environment monitoring area according to a set monitoring time interval to obtain storage environment information corresponding to each basic storage monitoring area and each key storage monitoring area in each monitoring time period;
the material storage environment analysis module is used for analyzing and obtaining storage environment standard coefficients corresponding to the target pharmaceutical raw materials according to storage environment information corresponding to each basic storage monitoring area and each key storage environment monitoring area in each monitoring time period, and recording the storage environment standard coefficients as lambda;
the material storage power parameter monitoring module is used for setting power monitoring time periods and monitoring power parameters corresponding to each environment regulation and control device in each power monitoring time period, wherein the power parameters are running current and running voltage;
the material storage environment weight setting module is used for setting the weight of the fluctuation influence of the storage environment of the target pharmaceutical raw material based on the power parameters corresponding to the environment regulation and control equipment in each power monitoring time period;
the material storage comprehensive analysis module is used for comprehensively analyzing to obtain a storage quality interference evaluation coefficient of the target pharmaceutical raw material according to the storage environment specification coefficient and the storage environment fluctuation influence weight corresponding to the target pharmaceutical raw material, and confirming the quality early warning date;
and the material storage early warning terminal is used for performing storage quality early warning when the target pharmaceutical raw material reaches the quality early warning date.
2. The intelligent monitoring system for storing pharmaceutical raw materials based on visualization as claimed in claim 1, wherein: the specific setting process of the storage monitoring area comprises the following steps:
dividing a storage warehouse corresponding to the target pharmaceutical raw material into basic storage monitoring areas based on the positions of the target pharmaceutical raw material corresponding to the set storage areas;
warehouse image acquisition is carried out through a camera arranged in a storage warehouse corresponding to the target pharmaceutical raw material, the storage environment interference area of each pharmaceutical raw material is identified, and the storage environment interference area of each pharmaceutical raw material is used as each key storage monitoring area.
3. The intelligent monitoring system for storing pharmaceutical raw materials based on visualization as claimed in claim 2, wherein: the areas where the storage environment of the pharmaceutical raw materials is interfered comprise a peripheral outer wall area, a roof area and a ground area.
4. The intelligent monitoring system for storing pharmaceutical raw materials based on visualization as claimed in claim 1, wherein: the storage environment information includes temperature, humidity, and dust concentration.
5. The intelligent monitoring system for storing pharmaceutical raw materials based on visualization as claimed in claim 4, wherein: the specific analysis process for obtaining the storage environment specification coefficient corresponding to the target pharmaceutical raw material through analysis comprises the following steps of:
numbering each basic storage monitoring area as 1,2,. I,. N in sequence according to a set sequence, and numbering each monitoring time period as 1,2,. T,. P in sequence according to a monitoring time sequence;
the temperature, humidity and dust concentration are positioned from the corresponding storage environment information of each basic storage monitoring area in each monitoring time period and are respectively recorded as w it 、s it 、c it And x it I denotes a base storage monitoring area number, i =1,2,... N, t denotes a monitoring time period number, t =1,2,... P;
screening out the highest temperature, the lowest temperature, the highest humidity, the lowest humidity, the highest dust concentration and the lowest dust concentration from the corresponding storage environment information of each basic storage monitoring area in each monitoring time period, and respectively recording the temperatures as w max 、w min 、s max 、s min 、c max And c min And further obtaining storage environment adaptation coefficients corresponding to the basic storage monitoring areas through analysis of an analysis formula, and recording the storage environment adaptation coefficients as beta i ；
The key storage monitoring areas are numbered as 1,2,. J,. M in sequence according to a set sequence, and the temperature, the humidity and the dust concentration are positioned from the storage environment information corresponding to the key storage monitoring areas in each monitoring time period and are respectively marked as w' jt 、s′ jt 、c′ jt And x' jt J denotes the key storage monitoring area number, j =1, 2.... M;
storing monitoring zones from each pointScreening the highest temperature, the lowest temperature, the highest humidity, the lowest humidity, the highest dust concentration and the lowest dust concentration from the corresponding storage environment information in each monitoring time period, and recording the temperatures as w' max 、w′ min 、s′ max 、s′ min 、c′ max And c' min And further analyzing by an analysis formula to obtain storage environment adaptation coefficients corresponding to the key storage monitoring areas and recording as delta j ；
Based on the storage environment adaptive coefficients corresponding to the basic storage monitoring areas and the storage environment adaptive coefficients corresponding to the key monitoring areas, the storage environment adaptive coefficients are analyzed by an analysis formula
And analyzing to obtain a storage environment standard coefficient lambda corresponding to the target pharmaceutical raw material, wherein e represents a natural number, epsilon 1 and epsilon 2 are respectively correction factors corresponding to the storage environment adaptation coefficients of the set basic storage monitoring area and the set key storage monitoring area, and beta 'and delta' are respectively the storage environment adaptation coefficients of the set reference standard storage monitoring area and the storage environment adaptation coefficients of the reference key storage monitoring area.
6. The intelligent monitoring system for storing pharmaceutical raw materials based on visualization as claimed in claim 5, wherein: the storage environment adaptation coefficient corresponding to each basic storage monitoring area has a concrete analysis formula of
Wherein, τ 1 and τ 2 are respectively the storage environment deviation coefficient and the storage environment fluctuation coefficient of the set basic storage monitoring area, and the ratio weight corresponding to the storage environment fluctuation coefficient, phi 1 i 、φ2 i Respectively representing the storage environment deviation coefficient and the storage environment fluctuation coefficient corresponding to the ith basic storage monitoring area;
in the above-mentioned description of the invention,
a1, a2 and a3 are respectively expressed asThe method comprises the steps that deviation weight factors corresponding to temperature, humidity and dust concentration in a set basic storage monitoring area are determined, delta w and delta s are respectively expressed as permissible temperature deviation and permissible humidity deviation in the set basic storage monitoring area, c' is permissible dust concentration of target pharmaceutical raw materials in the set basic storage monitoring area, and sigma is a set storage environment deviation correction factor;
7. The intelligent monitoring system for storing pharmaceutical raw materials based on visualization as claimed in claim 5, wherein: the storage environment adaptation coefficient specific analysis formula corresponding to each key storage monitoring area is
Tau 3 and tau 4 are respectively the storage environment deviation coefficient of the set key storage monitoring area and the proportion weight corresponding to the storage environment fluctuation coefficient,
respectively representing a storage environment deviation coefficient and a storage environment fluctuation coefficient corresponding to the jth key storage monitoring area;
in the above-mentioned description,
Δ w ' and Δ s ' are respectively expressed as allowable temperature difference and allowable humidity difference in the set key storage monitoring region, c ' is allowable dust concentration in the set key storage monitoring region, and μ 0 is environment correction factor of the set key storage monitoring regionB1, b2 and b3 respectively represent deviation weight factors corresponding to the temperature, the humidity and the dust concentration in a set key storage monitoring area;
8. The intelligent monitoring system for storing pharmaceutical raw materials based on visualization as claimed in claim 1, wherein: the method comprises the following steps of setting the fluctuation influence weight of the storage environment of the target pharmaceutical raw material, wherein the specific setting process comprises the following steps:
marking each electric power monitoring time period as 1,2,. F,. G in sequence according to monitoring time, and numbering each environment regulation and control device as 1,2,. K,. H in sequence according to a set sequence;
positioning current and voltage from power parameters corresponding to each environment regulation and control device in each power monitoring time period, and respectively recording the current and the voltage as I f k And U f k F denotes a power monitoring period number, f =1,2,... G, k denotes an environment conditioning device number, k =1,2,... H;
respectively substituting the current and the voltage corresponding to each environment regulation and control device in each power monitoring time period into a primary fluctuation weight formula
In the method, the first-level fluctuation influence weights psi 1, I 'and U' of the storage environment of the target pharmaceutical raw material are obtained through analysis and are respectively expressed as the set reference operating current and the set reference operating voltage, d1 and d2 are respectively expressed as the first-level fluctuation ratio weights corresponding to the set current and the set voltage,
a set primary fluctuation correction factor;
comparing the current and the voltage corresponding to each environment regulation and control device in each power monitoring time period, screening out the maximum current, the minimum current, the maximum voltage and the minimum voltage corresponding to each environment regulation and control device, and respectively marking as I max k 、I min k 、U max k And U min k And simultaneously extracting the power monitoring time periods corresponding to the maximum current, the minimum current, the maximum voltage and the minimum voltage of each environment regulation and control device, and recording the power monitoring time periods as the power monitoring time periods
And
by a two-stage fluctuation weight formula
In the method, the influence weight psi 2 of the secondary fluctuation of the storage environment of the target pharmaceutical raw material is obtained through analysis, d3 and d4 are respectively expressed as the proportion weight of the secondary fluctuation corresponding to the set current change and voltage change, and q is 0 、q 1 Respectively set allowable current change rate and allowable voltage change rate,
setting a second-level fluctuation correction factor;
according to the primary fluctuation influence weight psi 1 of the storage environment of the target pharmaceutical raw material and the secondary fluctuation influence weight psi 2 of the storage environment, analyzing the formula
And analyzing to obtain a fluctuation influence weight xi of the storage environment of the target pharmaceutical raw material, wherein alpha 1 and alpha 2 are respectively expressed as correction factors corresponding to the set primary fluctuation influence weight and the set secondary fluctuation influence weight of the storage environment.
9. The intelligent monitoring system for storing pharmaceutical raw materials based on visualization as claimed in claim 8, wherein: the specific calculation formula of the interference evaluation coefficient of the storage quality of the target pharmaceutical raw material is
R is a storage quality interference evaluation coefficient corresponding to the target pharmaceutical raw material, and lambda' is a set reference storage environment specification coefficient.
10. The intelligent monitoring system for storing pharmaceutical raw materials based on visualization as claimed in claim 9, wherein: the confirming quality early warning date with confirming process comprises the following steps:
substituting the storage quality interference evaluation coefficient R corresponding to the target pharmaceutical raw material into a calculation formula T Prediction of ＝T 0 *24-T 0 *24*R+T Compensating for Obtaining the predicted storage quality guarantee time T corresponding to the target pharmaceutical raw material Prediction of ，T 0 Set number of days of shelf life, T, for the target pharmaceutical raw material Compensating for Compensating days for the set target pharmaceutical raw material;
based on the predicted storage quality guarantee time corresponding to the target pharmaceutical raw material, utilizing a calculation formula
And calculating to obtain the quality early warning date corresponding to the target pharmaceutical raw material.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115879861A (en) * | 2023-01-07 | 2023-03-31 | 南京东华材料科技有限公司 | Data timing backup method based on OSS |
| CN116307636A (en) * | 2023-05-17 | 2023-06-23 | 彼图科技(青岛)有限公司 | Intelligent regulation and control method and system for intelligent tool cabinet terminal |
| CN117495261A (en) * | 2023-11-14 | 2024-02-02 | 深圳海容高新材料科技有限公司 | Inventory management method for nano-coating reagent production |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115879861A (en) * | 2023-01-07 | 2023-03-31 | 南京东华材料科技有限公司 | Data timing backup method based on OSS |
| CN115879861B (en) * | 2023-01-07 | 2023-09-01 | 南京东华材料科技有限公司 | Metal material warehouse data acquisition, analysis and management method |
| CN116307636A (en) * | 2023-05-17 | 2023-06-23 | 彼图科技(青岛)有限公司 | Intelligent regulation and control method and system for intelligent tool cabinet terminal |
| CN116307636B (en) * | 2023-05-17 | 2023-08-04 | 彼图科技(青岛)有限公司 | Intelligent regulation and control method and system for intelligent tool cabinet terminal |
| CN117495261A (en) * | 2023-11-14 | 2024-02-02 | 深圳海容高新材料科技有限公司 | Inventory management method for nano-coating reagent production |
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