CN117391616A - Drug screening equipment operation supervision platform based on data analysis - Google Patents

Drug screening equipment operation supervision platform based on data analysis Download PDF

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CN117391616A
CN117391616A CN202311321328.9A CN202311321328A CN117391616A CN 117391616 A CN117391616 A CN 117391616A CN 202311321328 A CN202311321328 A CN 202311321328A CN 117391616 A CN117391616 A CN 117391616A
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discharging
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CN117391616B (en
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梁洞泉
张为
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Yaoming Jichuang Foshan Biotechnology Co ltd
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Abstract

The invention belongs to the field of drug screening, relates to a data analysis technology, and is used for solving the problem that the existing drug screening equipment operation supervision platform is low in abnormal processing efficiency when the drug screening equipment is abnormal in efficiency or accuracy, and particularly relates to a drug screening equipment operation supervision platform based on data analysis, which comprises a processor, wherein the processor is in communication connection with a feeding and discharging monitoring module, a data management module, an abnormality investigation module and a storage module; the feeding and discharging monitoring module is used for monitoring and analyzing a feeding process and a discharging process of the drug screening equipment; the data management module is used for managing and analyzing the discharging data of the multi-stage screen surface of the drug screening equipment; the invention can monitor and analyze the feeding and discharging processes of the drug screening equipment on the whole, and can timely feed back and process abnormal check when the whole discharging abnormality occurs by carrying out data analysis on the weight of the output materials of the multi-stage screen surface.

Description

Drug screening equipment operation supervision platform based on data analysis
Technical Field
The invention belongs to the field of drug screening, relates to a data analysis technology, and particularly relates to a drug screening equipment operation supervision platform based on data analysis.
Background
The screening is to divide solid particles into different particle groups with equal size, and the impurity screening process, the medicine production process, the medicine screening according to the size, quality and the like of the medicine, so that a screening device is needed, and the medicine is screened by using a multi-stage ultrasonic vibration screen in the medical industry at present.
The existing drug screening equipment operation supervision platform can only monitor the screening efficiency and precision of drugs, and when the drug screening equipment has abnormal efficiency or abnormal precision, the screening of the multi-level ultrasonic vibration screen stage by stage is needed to be manually conducted, so that the abnormal treatment efficiency is low; meanwhile, the system does not have the function of managing and optimizing historical data, so that the accuracy of the efficiency detection result is low.
Aiming at the technical problems, the application provides a solution.
Disclosure of Invention
The invention aims to provide a drug screening equipment operation supervision platform based on data analysis, which is used for solving the problem that the existing drug screening equipment operation supervision platform has low abnormal processing efficiency when the drug screening equipment has abnormal efficiency or abnormal precision;
the technical problems to be solved by the invention are as follows: how to provide a medicine screening equipment operation supervision platform based on data analysis, which can automatically check the operation abnormality factors and abnormal positions of a multi-stage oscillating screen.
The aim of the invention can be achieved by the following technical scheme:
the operation supervision platform of the drug screening equipment based on data analysis comprises a processor, wherein the processor is in communication connection with a feeding and discharging monitoring module, a data management module, an abnormality investigation module and a storage module;
the feeding and discharging monitoring module is used for monitoring and analyzing the feeding process and the discharging process of the drug screening equipment: when the drug screening device works, marking the multi-stage screen surface of the drug screening device as a monitoring object i, i=1, 2, …, n and n are positive integers, obtaining a total discharge value CZ and a discharge range of the drug screening device, and judging whether the drug screening device has abnormal discharge state or not through the total discharge value CZ and the discharge range;
the data management module is used for carrying out management analysis on the discharging data of the multi-stage screen surface of the drug screening equipment: marking the ratio of the discharge value CLi of the monitoring object i to the total discharge value CZ as the discharge ratio CBi of the monitoring object, performing variance calculation on the historical discharge ratio of the monitoring object i to obtain a historical discharge coefficient, adding the discharge ratio CBi of the monitoring object i into the historical discharge ratio, performing variance calculation again to obtain an influence discharge coefficient, marking the difference value between the influence discharge coefficient and the historical discharge coefficient as the influence coefficient, acquiring an influence threshold value through a storage module, comparing the influence coefficient with the influence threshold value, and judging whether the discharge state of the monitoring object i accords with a historical rule or not through a comparison result;
the abnormality investigation module is used for carrying out abnormality investigation analysis when the discharging state of the drug screening equipment is abnormal.
As a preferred embodiment of the present invention, the process for obtaining the total discharge value CZ and the discharge range of the drug screening apparatus includes: obtaining the total weight of materials added into a feed port of the drug screening equipment, marking the total weight as a feed value JL, obtaining the total weight of materials output by a corresponding discharge port of a monitoring object i after drug screening is completed, marking the total weight of materials as a discharge value CLi of the monitoring object i, and obtaining discharge thresholds CLmin and CLmax through formulas CLmin=m1×JL and CLmax=m2×JL, wherein m1 and m2 are proportionality coefficients, and m1 is more than or equal to 0.8 and less than or equal to 0.9,1.1 and m2 is less than or equal to 1.2; and forming a discharging range by the discharging threshold value CLmin and CLmax, and summing and averaging the discharging values CLi of all the monitoring objects i to obtain a discharging total value CZ.
As a preferred embodiment of the present invention, the specific process for determining whether there is an abnormality in the discharge state of the drug screening apparatus includes: judging whether the total discharge value CZ is within the discharge range: if yes, judging that the discharging state of the drug screening equipment is normal, and sending the discharging values CLi of all the monitoring objects i to a data management module through a processor; if not, judging that the discharging state of the drug screening device is abnormal, and sending an abnormality investigation signal to the processor by the feeding and discharging monitoring module, and sending the abnormality investigation signal to the abnormality investigation module after the processor receives the abnormality investigation signal.
As a preferred embodiment of the present invention, the specific process of comparing the influence coefficient with the influence threshold value includes: if the influence coefficient is smaller than the influence threshold, judging that the discharge state of the monitoring object i accords with the history rule, adding the discharge ratio CBi of the monitoring object i into the history discharge ratio, and then carrying out average value calculation to obtain a limit material value XLI of the monitoring object i; if the influence coefficient is greater than or equal to the influence threshold, judging that the discharging state of the monitored object i does not accord with the history rule, and directly calculating the average value of the history discharging ratio of the monitored object i to obtain a material limiting value XLI of the monitored object i; obtaining a material limiting threshold value XLix and XLid of a monitoring object i through formulas XLix=b1 xLi and XLid=b2 xLi, wherein b1 and b2 are proportionality coefficients, and b1 is more than or equal to 0.85 and less than or equal to 0.95,1.05 and b2 is more than or equal to 1.15; and the material limiting threshold value XLix and XLid form a material limiting range of the monitoring object i.
As a preferred embodiment of the present invention, the specific process of performing the abnormality investigation analysis when the discharge state of the drug screening apparatus is abnormal includes: the method comprises the steps of obtaining a difference value of ending working time and starting working time of a drug screening device to be marked as working time, dividing the working time into a plurality of working time periods, obtaining an absolute value of a difference value of a discharging amount of a monitoring object i in the working time period and a discharging amount of the monitoring object i in the last working time period to be marked as a discharging value, and marking the working time period as a normal time period or an abnormal time period through the numerical value of the discharging value; and comprehensively analyzing the discharging state of the monitoring object i and marking the monitoring object as a normal object, a blocking screening object, a blocking discharging object or a data optimizing object.
As a preferred embodiment of the present invention, the specific process of marking the operation period as a normal period or an abnormal period includes: obtaining a business trip threshold value through a storage module, and comparing the business trip threshold value with the business trip threshold value: if the difference value is smaller than the business trip threshold value, marking the corresponding working time period as a normal time period; and if the output difference value is greater than or equal to the output difference value, marking the corresponding working time period as an abnormal time period.
As a preferred embodiment of the present invention, the specific process of comprehensively analyzing the discharge state of the monitoring object i includes:
if all the working periods corresponding to the monitoring object i are normal periods and the discharging value CLi of the monitoring object i is in the material limiting range, marking the corresponding monitoring object i as a normal object;
if the abnormal time periods exist in all the working time periods corresponding to the monitoring object i and the ratio of the discharging value CLi and the total discharging value CZ of the monitoring object i is outside the material limiting range, marking the corresponding monitoring object i as a screening blocking object, generating a screening blocking signal and sending the screening blocking signal to a mobile phone terminal of a manager through a processor;
if the abnormal time periods exist in all the working time periods corresponding to the monitoring object i and the ratio of the discharging value CLi and the total discharging value CZ of the monitoring object i is within the material limiting range, marking the corresponding monitoring object i as a discharging blocking object, generating a discharging blocking signal and sending the discharging blocking signal to a mobile phone terminal of a manager through a processor;
if all the working periods corresponding to the monitoring object i are normal periods and the ratio of the discharging value CLi of the monitoring object i to the total discharging value CZ is outside the material limiting range, marking the corresponding monitoring object i as a data optimization object, and sending the discharging value CLi of the data optimization object to a data management module through a processor;
if all the monitoring objects i are marked as normal objects, generating a vibrator detection signal and sending the vibrator detection signal to a mobile phone terminal of a manager through a processor.
As a preferred embodiment of the present invention, the working method of the drug screening apparatus operation supervision platform based on data analysis includes the following steps:
step one: monitoring and analyzing the feeding process and the discharging process of the drug screening equipment: when the drug screening equipment works, the total weight of materials added by a feed port of the drug screening equipment and the total weight of materials output by a discharge port corresponding to a monitored object i are obtained and subjected to data analysis, and whether the discharge state of the drug screening equipment is normal or not is judged;
step two: management analysis is carried out on the discharging data of the multi-stage screen surface of the drug screening equipment: the method comprises the steps of obtaining an influence coefficient of a screening object by carrying out numerical calculation on a discharge value CLi and a discharge total value CZ of a monitoring object i, and carrying out composition calculation on a material limiting range by the numerical value of the influence coefficient;
step three: and when the discharging state of the drug screening equipment is abnormal, performing abnormality investigation analysis and obtaining a discharging difference value of the monitoring object i, and marking the monitoring object as a normal object, a blocking screening object, a blocking discharging object or a data optimizing object by combining the numerical value of the discharging difference value and a material limiting range.
The invention has the following beneficial effects:
1. the feeding and discharging process of the drug screening device can be monitored and analyzed integrally through the feeding and discharging monitoring module, and the overall running state of the ultrasonic vibration sieve is fed back through data analysis on the weight of the output materials of the multi-stage screen mesh surface, so that feedback and abnormality check treatment can be timely carried out when the overall discharging abnormality occurs;
2. the data management module can manage and analyze the discharge data of the multi-stage screen surface of the drug screening device, and the updating mode is selected according to the association state of the newly generated data and the historical data, so that the material limiting range is continuously and finely updated under the condition that the drug screening device is normal in integral operation, and the accuracy of the subsequent abnormal investigation result is improved;
3. the abnormal investigation module can carry out abnormal investigation analysis when the discharging state of the drug screening equipment is abnormal, the whole discharging process of the drug screening equipment is decomposed in a time-division monitoring mode, then the discharging speed of each working period is subjected to integrated analysis, the material limiting range in the historical data is combined, and the monitored objects are marked with different abnormal characteristics, so that the abnormal treatment is carried out in a targeted mode, and the abnormal treatment efficiency is improved.
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In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a system block diagram of a first embodiment of the present invention;
fig. 2 is a flowchart of a method according to a second embodiment of the invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
As shown in FIG. 1, the operation supervision platform of the drug screening equipment based on data analysis comprises a processor, wherein the processor is in communication connection with a material inlet and outlet monitoring module, a data management module, an abnormality investigation module and a storage module.
The feeding and discharging monitoring module is used for monitoring and analyzing the feeding process and the discharging process of the drug screening equipment: when the drug screening device works, the multi-stage screen surface of the drug screening device is marked as a monitoring object i, i=1, 2, …, n and n are positive integers, the total weight of materials added into a feed port of the drug screening device is obtained and marked as a feed value JL, the total weight of materials output by the monitoring object i corresponding to a discharge port after the drug screening is completed is obtained and marked as a discharge value CLi of the monitoring object i, and discharge thresholds CLmin and CLmax are obtained through formulas clmin=m1×JL and clmax=m2×JL, wherein m1 and m2 are proportionality coefficients, and m1 is more than or equal to 0.8 and less than or equal to 0.9,1.1 and less than or equal to 1.2; and forming a discharging range by the discharging threshold CLmin and CLmax, summing the discharging values CLi of all the monitoring objects i, averaging to obtain a discharging total value CZ, and judging whether the discharging total value CZ is positioned in the discharging range or not: if yes, judging that the discharging state of the drug screening equipment is normal, and sending the discharging values CLi of all the monitoring objects i to a data management module through a processor; if not, judging that the discharging state of the drug screening device is abnormal, sending an abnormality investigation signal to a processor by a feeding and discharging monitoring module, and sending the abnormality investigation signal to an abnormality investigation module after the processor receives the abnormality investigation signal; the feeding and discharging processes of the drug screening equipment are monitored and analyzed integrally, and the overall running state of the ultrasonic vibration screen is fed back through data analysis on the weight of the output materials of the multi-stage screen mesh surface, so that feedback and abnormality checking treatment can be timely carried out when the overall discharging abnormality occurs.
The data management module is used for carrying out management analysis on the discharging data of the multi-stage screen surface of the drug screening equipment: marking the ratio of the discharge value CLi of the monitored object i to the total discharge value CZ as the discharge ratio CBi of the monitored object, performing variance calculation on the historical discharge ratio of the monitored object i to obtain a historical discharge coefficient, adding the discharge ratio CBi of the monitored object i into the historical discharge ratio, performing variance calculation again to obtain an influence discharge coefficient, marking the difference value between the influence discharge coefficient and the historical discharge coefficient as an influence coefficient, acquiring an influence threshold value through a storage module, and comparing the influence coefficient with the influence threshold value: if the influence coefficient is smaller than the influence threshold, judging that the discharge state of the monitoring object i accords with the history rule, adding the discharge ratio CBi of the monitoring object i into the history discharge ratio, and then carrying out average value calculation to obtain a limit material value XLI of the monitoring object i; if the influence coefficient is greater than or equal to the influence threshold, judging that the discharging state of the monitored object i does not accord with the history rule, and directly calculating the average value of the history discharging ratio of the monitored object i to obtain a material limiting value XLI of the monitored object i; obtaining a material limiting threshold value XLix and XLid of a monitoring object i through formulas XLix=b1 xLi and XLid=b2 xLi, wherein b1 and b2 are proportionality coefficients, and b1 is more than or equal to 0.85 and less than or equal to 0.95,1.05 and b2 is more than or equal to 1.15; the material limiting threshold value XLix and XLid form a material limiting range of the monitoring object i; and (3) carrying out management analysis on the discharging data of the multi-stage screen surface of the drug screening equipment, and continuously carrying out fine updating on the material limiting range under the condition that the drug screening equipment is in normal operation by selecting an updating mode for the association state of the newly generated data and the historical data so as to improve the accuracy of the subsequent abnormal investigation result.
The abnormality investigation module is used for carrying out abnormality investigation analysis when the discharging state of the drug screening equipment is abnormal: the method comprises the steps of obtaining a difference value of ending working time and starting working time of a drug screening device to be marked as working time, dividing the working time into a plurality of working time periods, obtaining an absolute value of a difference value of a discharging amount of a monitoring object i in the working time period and a discharging amount of the monitoring object i in the last working time period to be marked as a discharging value, obtaining a discharging threshold through a storage module, and comparing the discharging value with the discharging threshold: if the difference value is smaller than the business trip threshold value, marking the corresponding working time period as a normal time period; if the output difference value is greater than or equal to the output difference value, marking the corresponding working time period as an abnormal time period; comprehensively analyzing the discharging state of the monitoring object i: if all the working periods corresponding to the monitoring object i are normal periods and the discharging value CLi of the monitoring object i is in the material limiting range, marking the corresponding monitoring object i as a normal object; if the abnormal time periods exist in all the working time periods corresponding to the monitoring object i and the ratio of the discharging value CLi and the total discharging value CZ of the monitoring object i is outside the material limiting range, marking the corresponding monitoring object i as a screening blocking object, generating a screening blocking signal and sending the screening blocking signal to a mobile phone terminal of a manager through a processor; if the abnormal time periods exist in all the working time periods corresponding to the monitoring object i and the ratio of the discharging value CLi and the total discharging value CZ of the monitoring object i is within the material limiting range, marking the corresponding monitoring object i as a discharging blocking object, generating a discharging blocking signal and sending the discharging blocking signal to a mobile phone terminal of a manager through a processor; if all the working periods corresponding to the monitoring object i are normal periods and the ratio of the discharging value CLi of the monitoring object i to the total discharging value CZ is outside the material limiting range, marking the corresponding monitoring object i as a data optimization object, and sending the discharging value CLi of the data optimization object to a data management module through a processor; if all the monitoring objects i are marked as normal objects, generating a vibrator detection signal and sending the vibrator detection signal to a mobile phone terminal of a manager through a processor; and when the discharging state of the drug screening equipment is abnormal, carrying out abnormal investigation and analysis, decomposing the whole discharging process of the drug screening equipment in a time-division monitoring mode, then carrying out integrated analysis on the discharging speed of each working period, and carrying out marking of different abnormal characteristics on a monitored object by combining the material limiting range in the historical data so as to carry out targeted abnormal treatment and improve the abnormal treatment efficiency.
Example two
As shown in fig. 2, a method for supervising the operation of a drug screening device based on data analysis includes the steps of:
step one: monitoring and analyzing the feeding process and the discharging process of the drug screening equipment: when the drug screening equipment works, the total weight of materials added by a feed port of the drug screening equipment and the total weight of materials output by a discharge port corresponding to a monitored object i are obtained and are subjected to data analysis, whether the discharge state of the drug screening equipment is normal or not is judged, and the overall running state of the ultrasonic vibration sieve is fed back, so that feedback and abnormal check treatment can be timely carried out when the overall discharge is abnormal;
step two: management analysis is carried out on the discharging data of the multi-stage screen surface of the drug screening equipment: the method comprises the steps of obtaining an influence coefficient of a screening object by carrying out numerical calculation on a discharge value CLi and a discharge total value CZ of a monitoring object i, carrying out composition calculation on a material limiting range by the numerical value of the influence coefficient, and continuously carrying out refined updating on the material limiting range under the condition that the whole operation of the drug screening equipment is normal so as to improve the accuracy of a subsequent abnormal investigation result;
step three: and when the discharging state of the drug screening equipment is abnormal, performing abnormality investigation analysis and obtaining an outlet difference value of a monitoring object i, marking the monitoring object as a normal object, a screening object, an outlet blocking object or a data optimization object by combining the numerical value of the outlet difference value and a material limiting range, and marking different abnormal characteristics of the monitoring object so as to perform abnormality treatment in a targeted manner and improve the abnormality treatment efficiency.
When the drug screening device works, the total weight of materials added by a feed port of the drug screening device and the total weight of materials output by a discharge port corresponding to a monitored object i are obtained and subjected to data analysis, and whether the discharge state of the drug screening device is normal or not is judged; the method comprises the steps of obtaining an influence coefficient of a screening object by carrying out numerical calculation on a discharge value CLi and a discharge total value CZ of a monitoring object i, and carrying out composition calculation on a material limiting range by the numerical value of the influence coefficient; and when the discharging state of the drug screening equipment is abnormal, performing abnormality investigation analysis and obtaining a discharging difference value of the monitoring object i, and marking the monitoring object as a normal object, a blocking screening object, a blocking discharging object or a data optimizing object by combining the numerical value of the discharging difference value and a material limiting range.
The foregoing is merely illustrative of the structures of this invention and various modifications, additions and substitutions for those skilled in the art can be made to the described embodiments without departing from the scope of the invention or from the scope of the invention as defined in the accompanying claims.
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. 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 understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.

Claims (8)

1. The operation supervision platform of the drug screening equipment based on data analysis is characterized by comprising a processor, wherein the processor is in communication connection with a feeding and discharging monitoring module, a data management module, an abnormality investigation module and a storage module;
the feeding and discharging monitoring module is used for monitoring and analyzing the feeding process and the discharging process of the drug screening equipment: when the drug screening device works, marking the multi-stage screen surface of the drug screening device as a monitoring object i, i=1, 2, …, n and n are positive integers, obtaining a total discharge value CZ and a discharge range of the drug screening device, and judging whether the drug screening device has abnormal discharge state or not through the total discharge value CZ and the discharge range;
the data management module is used for carrying out management analysis on the discharging data of the multi-stage screen surface of the drug screening equipment: marking the ratio of the discharge value CLi of the monitoring object i to the total discharge value CZ as the discharge ratio CBi of the monitoring object, performing variance calculation on the historical discharge ratio of the monitoring object i to obtain a historical discharge coefficient, adding the discharge ratio CBi of the monitoring object i into the historical discharge ratio, performing variance calculation again to obtain an influence discharge coefficient, marking the difference value between the influence discharge coefficient and the historical discharge coefficient as the influence coefficient, acquiring an influence threshold value through a storage module, comparing the influence coefficient with the influence threshold value, and judging whether the discharge state of the monitoring object i accords with a historical rule or not through a comparison result;
the abnormality investigation module is used for carrying out abnormality investigation analysis when the discharging state of the drug screening equipment is abnormal.
2. The operation supervision platform for a drug screening apparatus based on data analysis according to claim 1, wherein the process of obtaining the total discharge value CZ and the discharge range of the drug screening apparatus comprises: obtaining the total weight of materials added into a feed port of the drug screening equipment, marking the total weight as a feed value JL, obtaining the total weight of materials output by a corresponding discharge port of a monitoring object i after drug screening is completed, marking the total weight of materials as a discharge value CLi of the monitoring object i, and obtaining discharge thresholds CLmin and CLmax through formulas CLmin=m1×JL and CLmax=m2×JL, wherein m1 and m2 are proportionality coefficients, and m1 is more than or equal to 0.8 and less than or equal to 0.9,1.1 and m2 is less than or equal to 1.2; and forming a discharging range by the discharging threshold value CLmin and CLmax, and summing and averaging the discharging values CLi of all the monitoring objects i to obtain a discharging total value CZ.
3. The operation supervision platform for a drug screening apparatus based on data analysis according to claim 2, wherein the specific process of determining whether the drug screening apparatus has abnormal discharge state comprises: judging whether the total discharge value CZ is within the discharge range: if yes, judging that the discharging state of the drug screening equipment is normal, and sending the discharging values CLi of all the monitoring objects i to a data management module through a processor; if not, judging that the discharging state of the drug screening device is abnormal, and sending an abnormality investigation signal to the processor by the feeding and discharging monitoring module, and sending the abnormality investigation signal to the abnormality investigation module after the processor receives the abnormality investigation signal.
4. A medication screening device operation supervision platform based on data analysis according to claim 3, wherein the specific process of comparing the impact coefficient with the impact threshold comprises: if the influence coefficient is smaller than the influence threshold, judging that the discharge state of the monitoring object i accords with the history rule, adding the discharge ratio CBi of the monitoring object i into the history discharge ratio, and then carrying out average value calculation to obtain a limit material value XLI of the monitoring object i; if the influence coefficient is greater than or equal to the influence threshold, judging that the discharging state of the monitored object i does not accord with the history rule, and directly calculating the average value of the history discharging ratio of the monitored object i to obtain a material limiting value XLI of the monitored object i; obtaining a material limiting threshold value XLix and XLid of a monitoring object i through formulas XLix=b1 xLi and XLid=b2 xLi, wherein b1 and b2 are proportionality coefficients, and b1 is more than or equal to 0.85 and less than or equal to 0.95,1.05 and b2 is more than or equal to 1.15; and the material limiting threshold value XLix and XLid form a material limiting range of the monitoring object i.
5. The operation supervision platform of a drug screening device based on data analysis according to claim 4, wherein the specific process of performing the abnormality screening analysis when the discharging state of the drug screening device is abnormal comprises: the method comprises the steps of obtaining a difference value of ending working time and starting working time of a drug screening device to be marked as working time, dividing the working time into a plurality of working time periods, obtaining an absolute value of a difference value of a discharging amount of a monitoring object i in the working time period and a discharging amount of the monitoring object i in the last working time period to be marked as a discharging value, and marking the working time period as a normal time period or an abnormal time period through the numerical value of the discharging value; and comprehensively analyzing the discharging state of the monitoring object i and marking the monitoring object as a normal object, a blocking screening object, a blocking discharging object or a data optimizing object.
6. The data analysis based medication screening device operation administration platform of claim 5, wherein the specific process of marking an operational period as a normal period or an abnormal period comprises: obtaining a business trip threshold value through a storage module, and comparing the business trip threshold value with the business trip threshold value: if the difference value is smaller than the business trip threshold value, marking the corresponding working time period as a normal time period; and if the output difference value is greater than or equal to the output difference value, marking the corresponding working time period as an abnormal time period.
7. The operation supervision platform for a drug screening device based on data analysis according to claim 6, wherein the specific process of comprehensively analyzing the discharge state of the monitored object i comprises:
if all the working periods corresponding to the monitoring object i are normal periods and the discharging value CLi of the monitoring object i is in the material limiting range, marking the corresponding monitoring object i as a normal object;
if the abnormal time periods exist in all the working time periods corresponding to the monitoring object i and the ratio of the discharging value CLi and the total discharging value CZ of the monitoring object i is outside the material limiting range, marking the corresponding monitoring object i as a screening blocking object, generating a screening blocking signal and sending the screening blocking signal to a mobile phone terminal of a manager through a processor;
if the abnormal time periods exist in all the working time periods corresponding to the monitoring object i and the ratio of the discharging value CLi and the total discharging value CZ of the monitoring object i is within the material limiting range, marking the corresponding monitoring object i as a discharging blocking object, generating a discharging blocking signal and sending the discharging blocking signal to a mobile phone terminal of a manager through a processor;
if all the working periods corresponding to the monitoring object i are normal periods and the ratio of the discharging value CLi of the monitoring object i to the total discharging value CZ is outside the material limiting range, marking the corresponding monitoring object i as a data optimization object, and sending the discharging value CLi of the data optimization object to a data management module through a processor;
if all the monitoring objects i are marked as normal objects, generating a vibrator detection signal and sending the vibrator detection signal to a mobile phone terminal of a manager through a processor.
8. A method of operating a supervisory platform for a drug screening device based on data analysis according to any one of claims 1 to 7 comprising the steps of:
step one: monitoring and analyzing the feeding process and the discharging process of the drug screening equipment: when the drug screening equipment works, the total weight of materials added by a feed port of the drug screening equipment and the total weight of materials output by a discharge port corresponding to a monitored object i are obtained and subjected to data analysis, and whether the discharge state of the drug screening equipment is normal or not is judged;
step two: management analysis is carried out on the discharging data of the multi-stage screen surface of the drug screening equipment: the method comprises the steps of obtaining an influence coefficient of a screening object by carrying out numerical calculation on a discharge value CLi and a discharge total value CZ of a monitoring object i, and carrying out composition calculation on a material limiting range by the numerical value of the influence coefficient;
step three: and when the discharging state of the drug screening equipment is abnormal, performing abnormality investigation analysis and obtaining a discharging difference value of the monitoring object i, and marking the monitoring object as a normal object, a blocking screening object, a blocking discharging object or a data optimizing object by combining the numerical value of the discharging difference value and a material limiting range.
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