CN116300622B - Intelligent discharging monitoring method and system for medicine production - Google Patents
Intelligent discharging monitoring method and system for medicine production Download PDFInfo
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 156
- 239000003814 drug Substances 0.000 title claims abstract description 119
- 238000004519 manufacturing process Methods 0.000 title claims abstract description 48
- 238000000034 method Methods 0.000 title claims abstract description 36
- 238000007599 discharging Methods 0.000 title claims description 89
- 239000002994 raw material Substances 0.000 claims abstract description 152
- 238000004458 analytical method Methods 0.000 claims description 25
- 238000005206 flow analysis Methods 0.000 claims description 13
- 239000004615 ingredient Substances 0.000 claims description 13
- 229940079593 drug Drugs 0.000 claims description 9
- 238000012806 monitoring device Methods 0.000 claims description 4
- 238000012357 Gap analysis Methods 0.000 claims 1
- 238000002360 preparation method Methods 0.000 description 11
- 238000005457 optimization Methods 0.000 description 9
- 230000000694 effects Effects 0.000 description 4
- 230000000737 periodic effect Effects 0.000 description 4
- 238000004364 calculation method Methods 0.000 description 3
- 238000013507 mapping Methods 0.000 description 3
- 230000002159 abnormal effect Effects 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000010354 integration Effects 0.000 description 2
- 238000012797 qualification Methods 0.000 description 2
- 238000012937 correction Methods 0.000 description 1
- 230000000857 drug effect Effects 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000004526 pharmaceutical effect Effects 0.000 description 1
- 230000001737 promoting effect Effects 0.000 description 1
- 238000002922 simulated annealing Methods 0.000 description 1
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
- G05B19/0428—Safety, monitoring
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/24—Pc safety
- G05B2219/24024—Safety, surveillance
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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Abstract
The invention provides an intelligent discharge monitoring method and system for medicine production, which relate to the technical field of intelligent monitoring, and are used for acquiring medicine component proportioning information and raw material index information, monitoring humidity and uniformity of raw materials, acquiring raw material monitoring information and judging whether the raw material index information is met, if so, sending a passing signal, analyzing discharge flow based on the medicine component proportioning information, generating discharge execution information, when the execution information is started, monitoring flow based on flow monitoring equipment, judging whether preset discharge flow is met, and when reminding is not met, solving the technical problems that the discharge monitoring intelligent degree for medicine production in the prior art is low, the monitoring coverage is incomplete and influence limiting factors are not considered, so that information difference exists, and the discharge control accuracy cannot be ensured.
Description
Technical Field
The invention relates to the technical field of intelligent monitoring, in particular to a discharging intelligent monitoring method and system for medicine production.
Background
The medical safety is a key civil problem, the preparation supervision and control are required to be strictly carried out, in the medicine production process, the discharging control in the medicine production process is a key influence node, and the discharging control accuracy is required to be ensured to the greatest extent. At present, discharging supervision is mainly performed through a set management mechanism, in order to ensure management accuracy, workers are required to be assisted in field management on the basis of remote monitoring, management cost is high, certain subjectivity exists, monitoring data accuracy is caused to be insufficient, certain influence is caused for subsequent production control, and technical innovation optimization is required to be further performed.
In the prior art, the intelligent degree of discharge supervision of medicine production is lower, the monitoring coverage is not complete enough and influence limiting factors are not considered, so that the existing information is poor, and the discharge control accuracy cannot be guaranteed.
Disclosure of Invention
The application provides a ejection of compact intelligent monitoring method and system for medicine production for the ejection of compact supervision intelligent degree that carries out medicine production exists among the solution prior art is lower, and the control coverage is not complete enough and does not consider influence limiting factor, leads to existence information difference, can't guarantee ejection of compact control accuracy's technical problem.
In view of the above problems, the application provides an intelligent discharge monitoring method and system for pharmaceutical production.
In a first aspect, the present application provides a method for intelligent monitoring of outfeed for pharmaceutical production, the method comprising:
obtaining medicine ingredient proportion information and raw material index information;
respectively placing the raw materials in a monitoring room, and monitoring humidity and uniformity through a monitoring module to obtain raw material monitoring information;
when the raw material monitoring information is judged to meet the raw material index information, a passing signal is sent to a discharging monitoring system;
the discharge monitoring system analyzes the discharge flow based on the medicine component proportioning information, generates discharge execution information and sends the discharge execution information to the control module;
when the control module starts the execution information, the monitoring module monitors the flow through the flow monitoring equipment arranged at the discharging node, judges whether the monitored flow meets the preset discharging flow, and sends reminding information when the monitored flow does not meet the preset discharging flow.
In a second aspect, the present application provides an outfeed intelligent monitoring system for pharmaceutical production, the system comprising:
the basic information acquisition module is used for acquiring medicine ingredient proportioning information and raw material index information;
the raw material monitoring module is used for respectively placing raw materials in a monitoring room and monitoring humidity and uniformity through the monitoring module to obtain raw material monitoring information;
the index judging module is used for sending a passing signal to the discharge monitoring system when judging that the raw material monitoring information meets the raw material index information;
the flow analysis module is used for carrying out discharge flow analysis on the basis of the medicine component proportioning information by the discharge monitoring system, generating discharge execution information and sending the discharge execution information to the control module;
the flow monitoring and early warning module is used for monitoring the flow through flow monitoring equipment arranged at the discharging node when the control module starts the execution information, judging whether the monitored flow meets the preset discharging flow or not, and sending reminding information when the monitored flow does not meet the preset discharging flow.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
according to the intelligent discharge monitoring method for medicine production, medicine component proportion information and raw material index information are obtained, raw materials are respectively placed in a monitoring room and monitored through a monitoring module to obtain raw material monitoring information, whether the raw material index information is met or not is judged, if so, a passing signal is sent to a discharge monitoring system, discharge flow analysis is conducted based on the medicine component proportion information, and discharge execution information is generated and sent to a control module; when the control module starts the execution information, the monitoring module monitors the flow through the flow monitoring equipment arranged at the discharging node, judges whether the monitored flow meets the preset discharging flow, and when the monitored flow does not meet the preset discharging flow, sends reminding information, solves the technical problems that the discharging supervision intelligent degree for medicine production in the prior art is low, the monitoring coverage is incomplete, the influence limiting factors are not considered, the information is poor, the discharging control accuracy cannot be guaranteed, and abnormal execution judgment is effectively carried out on the basis of ensuring the data monitoring accuracy by monitoring constraint based on the multidimensional influence limiting factors.
Drawings
Fig. 1 is a schematic flow chart of a discharge intelligent monitoring method for pharmaceutical production;
fig. 2 is a schematic flow monitoring flow chart based on an image acquisition device in an intelligent discharge monitoring method for pharmaceutical production;
fig. 3 is a schematic diagram of a flow chart of setting a preset discharge flow interval in a discharge intelligent monitoring method for pharmaceutical production;
fig. 4 is a schematic structural diagram of an intelligent discharge monitoring system for pharmaceutical production.
Reference numerals illustrate: the system comprises a basic information acquisition module 11, a raw material monitoring module 12, an index judging module 13, a flow analysis module 14 and a flow monitoring and early warning module 15.
Detailed Description
The utility model provides a discharge intelligent monitoring method and system for medicine production, it is information to obtain medicine composition ratio, raw materials index information, carries out humidity, uniformity monitoring to the raw materials, obtains raw materials monitoring information and judges whether to satisfy raw materials index information, if satisfy and send traffic signal to ejection of compact monitored control system, carry out ejection of compact flow analysis based on medicine composition ratio information, generate ejection of compact executive information, when starting executive information, carry out flow monitoring based on flow monitoring equipment, judge whether satisfy preset ejection of compact flow, remind when not satisfying for carry out the ejection of compact supervision intelligent degree of medicine production that exists among the solution prior art is lower, and the control coverage is incomplete and does not consider influence limiting factor, leads to having the information difference, can't ensure the technical problem of ejection of compact control precision.
Example 1
As shown in fig. 1, the present application provides an ejection of compact intelligent monitoring method for pharmaceutical production, the method is applied in an ejection of compact monitoring system, the system includes a monitoring module and a control module, and the method includes:
step S100: obtaining medicine ingredient proportion information and raw material index information;
specifically, in the process of medicine production, in order to guarantee production quality, furthest promotes the drug effect, need carry out strict control to the preparation flow, including the control to raw materials and composition ratio etc. in the ejection of compact process, for promoting ejection of compact control accuracy, the application provides an ejection of compact intelligent monitoring method for medicine production is applied to ejection of compact monitored control system, ejection of compact monitored control system is for carrying out the total accuse system of full cycle supervision, the system include monitoring module with control module, wherein monitoring module is furnished with a plurality of monitoring facilities for carry out real-time monitoring data acquisition analysis, control module is used for carrying out the execution control of ejection of compact.
Specifically, determining preparation components of a medicine, determining the proportion of each component, and performing component mapping identification to generate medicine component proportion information, wherein the medicine component proportion information can be directly extracted through a pharmaceutical list; and further respectively carrying out humidity analysis and uniformity analysis on the prepared raw materials, determining the corresponding standard specification humidity and uniformity, and judging the qualification degree of the raw materials to generate the raw material index information. The acquisition of the medicine component proportion information and the raw material index information provides a monitoring judgment basis.
Step S200: respectively placing the raw materials in a monitoring room, and monitoring humidity and uniformity through a monitoring module to obtain raw material monitoring information;
step S300: when the raw material monitoring information is judged to meet the raw material index information, a passing signal is sent to a discharging monitoring system;
specifically, before the raw materials are discharged, index monitoring is needed, so that the influence on the final preparation effect caused by unqualified raw material indexes in the follow-up process is avoided. The detection chamber is a space for monitoring raw material indexes, is arranged in front of the discharge hole, is internally provided with humidity sensing equipment and image acquisition equipment, the monitoring module is used for controlling the humidity sensing equipment in the detection chamber to execute real-time equipment monitoring with the image acquisition equipment, acquiring real-time raw material images based on the humidity sensing equipment, and is used for identifying and extracting raw material uniformity information, carrying out time sequence attribution integration based on index type and raw material type on a data monitoring result, and generating raw material monitoring information.
Further, mapping and corresponding the raw material monitoring information and the raw material index information, and performing qualification judgment based on a mapping result, when the raw material monitoring information meets the raw material index information, indicating that the raw material index is qualified, generating the pass signal, wherein the pass signal is execution information of subsequent discharging, and sending the pass signal to the discharging monitoring system; when the raw material monitoring information does not meet the raw material index information, the raw material index is indicated to be unqualified, unqualified raw materials and indexes are extracted, index difference value calculation is carried out based on the raw material monitoring information and the raw material index information, raw material monitoring early warning information is generated for warning and reminding, and the sequence characterized by raw material-index-difference value is additional warning information.
Step S400: the discharge monitoring system analyzes the discharge flow based on the medicine component proportioning information, generates discharge execution information and sends the discharge execution information to the control module;
further, the discharge monitoring system performs discharge flow analysis based on the drug component proportioning information, and step S400 of the present application further includes:
step S410: obtaining a discharge port flow control range;
step S420: determining a flow ratio relationship based on the drug ingredient ratio information;
step S430: and matching the flow control range of the discharge ports according to the flow proportion relation to obtain flow execution information of each discharge port.
Specifically, the traffic signal is sent to the discharge monitoring system, and the discharge monitoring system is a monitoring control system for performing discharge full-period execution. Different raw materials correspond different discharge gates, and because of the difference of the proportion, the matching of the discharge gate and the raw materials is needed, and the discharge execution mechanism is ensured to meet the discharge component requirement.
Further, before discharging, the unit flow defining interval of the discharge port needs to be determined according to the discharge port corresponding to the matching of each raw material, and the unit flow defining interval is used as the flow control range of the discharge port. The medicine component proportion information is consistent with the flow proportion relation, and the ratio of each raw material can be determined based on the medicine component proportion information. And matching the flow proportion relation with the flow control range of the discharge port, wherein if the flow control range of the discharge port is 10g/s-100g/s, specific discharge flows of different discharge ports are different, distributing a higher flow proportion to a discharge port with higher flow control, distributing a lower flow proportion to a discharge port with lower flow control, for example, distributing the least flow proportion in the flow proportion relation to the discharge port with the ratio of 10g/s, determining the discharge materials corresponding to the discharge ports, generating flow execution information, and performing discharge control of the discharge port matching raw materials based on the flow execution information.
Further, the flow analysis is performed on each discharge port, and it is determined whether the discharge flow meets the medicine component ratio, for example, for a relatively high raw material, the required discharge flow per unit time is relatively high, for a relatively low raw material, the required discharge flow per unit time is relatively low, in other words, the ratio of the discharge flows of the discharge ports should be consistent with the medicine component ratio. And when the analysis result of the discharge flow rate is consistent with the proportioning information of the medicine components, generating discharge execution information, wherein the discharge execution information is the start information of the discharge operation executed by the discharge ports, and sending the discharge execution information to the control module so as to perform discharge control corresponding to each discharge port.
Step S500: when the control module starts the execution information, the monitoring module monitors the flow through the flow monitoring equipment arranged at the discharging node, judges whether the monitored flow meets the preset discharging flow, and sends reminding information when the monitored flow does not meet the preset discharging flow.
Specifically, the control module is used for executing control of discharging operation, and when the control module starts the execution information, the monitoring module synchronously monitors discharging flow. The discharge gate has been laid the flow monitoring equipment for gather real-time ejection of compact flow information, monitoring module is for carrying out flow monitoring equipment monitoring control and collection data feedback's functional module, based on ejection of compact node setting flow monitoring equipment carries out real-time ejection of compact flow monitoring, acquires monitoring flow. Determining the preset discharge flow through discharge flow tolerance analysis, judging whether the monitored flow meets the preset discharge flow, and normally performing discharge control when the monitored flow meets the preset discharge flow; if the information is not satisfied, sending reminding information to perform early warning so as to perform correction and adjustment in time.
Further, as shown in fig. 2, the flow monitoring device includes an image capturing device, and step S500 of the present application further includes:
step S510-1: video acquisition is carried out on the discharge port through image acquisition equipment;
step S520-1: carrying out image frame analysis on the acquired video, and extracting discharging characteristic information;
step S530-1: and carrying out trend difference analysis based on the discharging characteristic information, and sending reminding information when a difference result exists.
Further, the step S530-1 of the present application further includes:
step S531-1: determining an execution initial time based on the execution information;
step S532-1: setting a flow standard time period according to the execution initial time;
step S533-1: based on the flow standard time period, obtaining standard flow period characteristics from the discharging characteristic information;
step S534-1: and carrying out traversal comparison on all discharging characteristic information based on the standard flow period characteristics, and when the traversal comparison characteristic overlapping range does not meet a preset threshold value, carrying out difference.
Further, the flow monitoring device includes a speed sensing device and a flow section sensing device, and step S500 of the present application further includes:
step S510-2: respectively monitoring the flow of each discharge port through speed sensing equipment and flow section sensing equipment to obtain discharge speed information and discharge section information of each discharge port;
step S520-2: respectively calculating the discharge flow of each discharge port according to the discharge speed information and the discharge section information;
step S530-2: calculating the proportion of each discharge flow according to the discharge flow of each discharge port;
step S540-2: judging whether the discharge flow ratio is the same as the preset discharge flow ratio, and sending reminding information when the discharge flow ratio is different from the preset discharge flow ratio.
Specifically, the embodiment of the application includes two executable flow monitoring modes for acquiring real-time discharging information, including image acquisition analysis and flow sensing analysis.
Firstly, the image acquisition equipment is arranged at a discharge hole and used as the flow monitoring equipment. And carrying out video acquisition on the discharge port based on the image acquisition equipment to acquire acquisition videos, wherein the acquisition video frequency band has an identifier of the discharge port. And analyzing the acquired video frame by frame, extracting key frame images, extracting discharge characteristics, such as discharge density and the like, as the discharge characteristic information, wherein the discharge characteristic information comprises different time node characteristics. And carrying out trend difference analysis on the discharging characteristic information, and determining a difference result to remind.
Specifically, based on the execution information, an initial discharge control time is determined as the execution initial time. And the initial execution time is the time with highest control precision and optimal discharging execution effect, and is set as the flow standard time period. And based on the standard flow time period, periodically extracting the discharging characteristic information corresponding to the time period, such as the periodic expression state of the discharging density, and the like, so as to acquire the standard flow periodic characteristic. Traversing all discharging characteristic information, carrying out characteristic overlapping comparison based on the standard flow period characteristics, determining a characteristic overlapping range, setting the preset threshold, wherein the preset threshold is a characteristic interval which is set and used for judging whether the characteristic overlapping range is qualified or not, and carrying out self-defining setting based on expert evaluation. When the feature overlapping range does not meet the preset threshold, indicating that a difference exists, generating reminding information and carrying out early warning and warning. The method includes the steps of taking time and discharge characteristics as coordinate axes, constructing a two-dimensional coordinate system, arranging the standard flow period characteristics and all discharge characteristic information in the two-dimensional coordinate system, generating a discharge characteristic trend map, and directly identifying a characteristic overlapping range based on the discharge characteristic trend map to judge.
Secondly, arranging the speed sensing equipment and the flow section sensing equipment at the discharge port, and taking the speed sensing equipment and the flow section sensing equipment as the flow monitoring equipment for respectively acquiring data of real-time discharge speed and real-time flow section. And monitoring each discharge port based on the speed sensing equipment and the flow section sensing equipment respectively to generate discharge speed information and discharge section information of each discharge port, wherein the discharge speed information and the discharge section information are provided with a discharge port identifier and a time sequence identifier. And multiplying the discharging speed information and the discharging section information of each discharging port to obtain the discharging flow of each discharging port. And adding the discharge flow of each discharge port to obtain a total discharge flow, and respectively comparing the discharge flow of each discharge port with the total discharge flow to generate each discharge flow ratio. And (3) checking and judging the discharge flow ratio and the preset discharge flow, and when the ratio is different from the preset discharge flow, indicating that the discharge is abnormal, and sending the reminding information to perform early warning and warning.
Further, as shown in fig. 3, step S500 of the present application further includes:
step S510-3: obtaining the latitude of the medicine discharging proportion and the latitude of the raw material index according to the medicine ingredient proportion information and the raw material index information;
step S520-3: based on the medicine discharging proportion latitude and the raw material index latitude, predicting a medicine proportion result to obtain a medicine production prediction result;
step S530-3: when the medicine production prediction result meets the medicine production requirement, the medicine discharge proportion tolerance and the raw material index tolerance are respectively added to the monitoring module, and the raw material index information and the preset discharge flow are set in a tolerance interval.
Furthermore, based on the medicine discharging ratio latitude and the raw material index latitude, the medicine matching result is predicted, and before the medicine production prediction result is obtained, step S520-3 of the present application further includes:
step S521-3: according to the raw material index information, carrying out discharge port control precision analysis and determining a discharge control precision constraint value;
step S522-3: establishing a maximum optimizing space of a medicine component proportioning precision target based on the medicine discharging proportioning latitude, the raw material index latitude and the discharging control precision constraint value;
step S523-3: and obtaining the optimal combination of the medicine discharging proportion latitude and the raw material index latitude through a global optimizing algorithm based on the optimizing space.
Specifically, when the discharge port performs the discharge operation, due to the influence of various internal and external factors, such as equipment wear and the like, the discharge flow may deviate, wherein the discharge control is performed based on a certain discharge flow deviation range, the influence on the finally generated medicine is small, the discharge flow fluctuation range meeting the pharmaceutical effect controllable range can be ignored, and the discharge control is perfect as a discharge flow tolerance range.
Specifically, based on the medicine component proportion information and the raw material index information, an adjustable interval in a qualified state of medicine effect is determined, and as the medicine discharging proportion latitude and the raw material index latitude, the adjustable interval can be determined by an expert based on preparation experience self-definition, and is a preliminary setting result of a plurality of feasibility. On the basis, optimizing and determining the optimal latitude combination, specifically, carrying out control accuracy analysis on the discharge port according to the raw material index information, for example, different humidity, can influence the raw material integration density, can limit the discharge flow to a certain extent, and determining the discharge control accuracy constraint value based on the discharge limiting degree. And determining an optimization area as an optimization execution space, inputting the medicine discharging proportion latitude, the raw material index latitude and the discharging control precision constraint value into the space, generating the medicine ingredient proportion precision target maximum optimization space, wherein the medicine ingredient proportion precision target maximum optimization space is used for carrying out latitude optimization, and embedding a global optimization algorithm, such as a simulated annealing algorithm and the like, into the medicine ingredient proportion precision target maximum optimization space. Because the medicine discharging proportion tolerance and the raw material index tolerance can be mutually influenced to influence the final result, the medicine discharging proportion tolerance and the raw material index tolerance are randomly combined to determine a plurality of alternative combinations, optimization iteration is carried out for a plurality of times, and the global optimal combination is determined based on the preset iteration times, so that the preference of the optimal combination can be effectively ensured.
Further, the medicine component proportion information is adjusted to adjust the medicine discharging proportion latitude and the raw material index latitude, production prediction is performed based on the adjusted proportion, for example, production and preparation can be performed based on the adjusted proportion, and a preparation sample is detected to serve as a medicine production prediction result. And acquiring the production and preparation requirements, such as performance, state and the like, which are required to be met, when the medicine production prediction result meets the medicine production requirements, indicating that the medicine discharge proportion latitude and the raw material index latitude are allowable monitoring fluctuation ranges, adding the medicine discharge proportion latitude and the raw material index latitude into the monitoring module, and setting the latitude interval of the raw material index information and the preset discharge flow, so that the control energy efficiency can be improved, and frequent invalid early warning can be avoided.
Further, step S500 of the present application further includes:
step S510-4: performing performance analysis on each raw material based on the performance of the medicine, and determining the performance influence degree of each raw material;
step S520-4: determining the duty ratio threshold of each raw material according to the performance influence degree of each raw material;
step S530-4: obtaining medicine raw material information corresponding to each discharge port;
step S540-4: and determining a discharge proportion threshold value of the discharge port by utilizing the duty ratio threshold value of each raw material and the medicine raw material information corresponding to each discharge port, and adding the discharge proportion threshold value of the discharge port into the preset discharge flow.
Specifically, performance influence analysis is performed on each raw material based on the drug performance, wherein the main preparation raw material and the auxiliary preparation raw material have different influences, and the higher the drug performance compliance, the higher the corresponding raw material performance influence is, and the performance influence of each raw material is obtained. And carrying out duty ratio analysis on the performance influence degree of each raw material, and determining a duty ratio threshold value of each raw material based on the ratio of the single performance influence degree of the raw material to the total performance influence degree of the raw material, wherein the duty ratio threshold value of each raw material is a raw material duty ratio adjustment range in a controllable condition. Further, medicine raw material information corresponding to each discharge port is extracted, the fluctuation range of discharge flow of each discharge port is determined based on the ratio threshold value of each raw material and the medicine raw material information corresponding to each discharge port, the discharge proportion threshold value of the discharge port is generated, and the discharge proportion threshold value of the discharge port is the discharge quantity fluctuation interval of the discharge port under the normal pharmaceutical condition. For example, if the main preparation raw materials occupy less amount and the performance influence is higher, the discharge flow needs to be strictly controlled, and the corresponding discharge occupying ratio threshold is smaller.
Example two
Based on the same inventive concept as one of the foregoing embodiments of the method for intelligent monitoring of outfeed for pharmaceutical production, as shown in fig. 4, the present application provides an intelligent outfeed monitoring system for pharmaceutical production, the system comprising:
a basic information acquisition module 11, wherein the basic information acquisition module 11 is used for acquiring medicine component proportioning information and raw material index information;
the raw material monitoring module 12 is used for respectively placing raw materials in a monitoring room and monitoring humidity and uniformity through the monitoring module to obtain raw material monitoring information;
the index judging module 13 is used for sending a passing signal to the discharge monitoring system when the index judging module 13 judges that the raw material monitoring information meets the raw material index information;
the flow analysis module 14 is used for carrying out discharge flow analysis by the discharge monitoring system based on the medicine component proportioning information, generating discharge execution information and sending the discharge execution information to the control module;
the flow monitoring and early warning module 15, the flow monitoring and early warning module 15 is used for when the control module starts the execution information, the monitoring module monitors the flow through the flow monitoring equipment arranged at the discharging node, judges whether the monitored flow meets the preset discharging flow, and sends reminding information when the monitored flow does not meet the preset discharging flow.
Further, the system further comprises:
the video acquisition module is used for carrying out video acquisition on the discharge port through the image acquisition equipment;
the feature extraction module is used for carrying out image frame analysis on the acquired video and extracting discharging feature information;
and the trend difference analysis module is used for carrying out trend difference analysis based on the discharging characteristic information, and sending reminding information when a difference result exists.
Further, the system further comprises:
the execution initial time determining module is used for determining the execution initial time based on the execution information;
the flow standard time period setting module is used for setting a flow standard time period according to the execution initial time;
the periodic characteristic acquisition module is used for acquiring standard flow periodic characteristics from the discharging characteristic information based on the flow standard time period;
the characteristic judging module is used for carrying out traversal comparison on all discharging characteristic information based on the standard flow period characteristics, and when the traversal comparison characteristic overlapping range does not meet a preset threshold value, the difference exists.
Further, the system further comprises:
the flow monitoring module is used for respectively monitoring the flow of each discharge port through speed sensing equipment and flow section sensing equipment to obtain discharge speed information and discharge section information of each discharge port;
the discharging flow calculation module is used for calculating the discharging flow of each discharging port according to the discharging speed information and the discharging section information;
the proportion calculation module is used for calculating the proportion of each discharge flow according to the discharge flow of each discharge port;
the proportion judging module is used for judging whether the proportion of each discharge flow is the same as the discharge proportion of the preset discharge flow, and sending reminding information when the proportion is different from the preset discharge flow.
Further, the system further comprises:
the latitude acquiring module is used for acquiring the latitude of the medicine discharging proportion and the latitude of the raw material index according to the medicine ingredient proportion information and the raw material index information;
the proportioning result prediction module is used for predicting the proportioning result of the medicine based on the proportioning latitude of the medicine discharging and the latitude of the raw material index, so as to obtain a medicine production prediction result;
the tolerance interval setting module is used for respectively adding the medicine discharging proportion tolerance and the raw material index tolerance to the monitoring module when the medicine production prediction result meets the medicine production requirement, and carrying out tolerance interval setting on the raw material index information and the preset discharging flow.
Further, the system further comprises:
the control precision analysis module is used for carrying out control precision analysis on the discharge port according to the raw material index information and determining a constraint value of the discharge control precision;
the optimizing space establishing module is used for establishing a maximum optimizing space of the medicine component proportioning precision target based on the medicine discharging proportioning latitude, the raw material index latitude and the discharging control precision constraint value;
the optimal combination acquisition module is used for acquiring an optimal combination of the medicine discharging proportion latitude and the raw material index latitude through a global optimizing algorithm based on an optimizing space.
Further, the system further comprises:
the performance influence degree determining module is used for performing performance analysis on the raw materials based on the performance of the medicine and determining the performance influence degree of the raw materials;
the duty ratio threshold determining module is used for determining the duty ratio threshold of each raw material according to the performance influence degree of each raw material;
the device comprises a discharge port raw material acquisition module, a control module and a control module, wherein the discharge port raw material acquisition module is used for acquiring medicine raw material information corresponding to each discharge port;
and the discharge proportion threshold determining module is used for determining a discharge proportion threshold of the discharge port by utilizing the duty ratio threshold of each raw material and the medicine raw material information corresponding to each discharge port, and adding the discharge proportion threshold of the discharge port into the preset discharge flow.
Further, the system further comprises:
the flow control range acquisition module is used for acquiring a flow control range of the discharge port;
the flow proportion relation determining module is used for determining a flow proportion relation based on the medicine component proportion information;
and the flow control range matching module is used for matching the flow control range of the discharge ports according to the flow proportion relation to obtain flow execution information of each discharge port.
The foregoing detailed description of a method for intelligently monitoring discharge for pharmaceutical production will be clear to those skilled in the art, and the device disclosed in this embodiment is relatively simple in description, and the relevant points refer to the description of the method section.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (8)
1. The intelligent discharge monitoring method for the production of medicines is characterized by being applied to a discharge monitoring system, wherein the system comprises a monitoring module and a control module, and the method comprises the following steps:
obtaining medicine ingredient proportion information and raw material index information;
respectively placing the raw materials in a monitoring room, and monitoring humidity and uniformity through a monitoring module to obtain raw material monitoring information;
when the raw material monitoring information is judged to meet the raw material index information, a passing signal is sent to a discharging monitoring system;
the discharge monitoring system analyzes the discharge flow based on the medicine component proportioning information, generates discharge execution information and sends the discharge execution information to the control module;
when the control module starts the execution information, the monitoring module monitors the flow through the flow monitoring equipment arranged at the discharging node, judges whether the monitored flow meets the preset discharging flow, and sends reminding information when the monitored flow does not meet the preset discharging flow;
the ejection of compact monitored control system carries out ejection of compact flow analysis based on medicine composition proportioning information, includes:
obtaining a discharge port flow control range;
determining a flow ratio relationship based on the drug ingredient ratio information;
and matching the flow control range of the discharge ports according to the flow proportion relation to obtain flow execution information of each discharge port.
2. The method of claim 1, wherein the flow monitoring device comprises an image acquisition device, the method comprising:
video acquisition is carried out on the discharge port through image acquisition equipment;
carrying out image frame analysis on the acquired video, and extracting discharging characteristic information;
and carrying out trend difference analysis based on the discharging characteristic information, and sending reminding information when a difference result exists.
3. The method of claim 2, wherein performing a spark gap analysis based on the outfeed characteristic information comprises:
determining an execution initial time based on the execution information;
setting a flow standard time period according to the execution initial time;
based on the flow standard time period, obtaining standard flow period characteristics from the discharging characteristic information;
and carrying out traversal comparison on all discharging characteristic information based on the standard flow period characteristics, and when the traversal comparison characteristic overlapping range does not meet a preset threshold value, carrying out difference.
4. The method of claim 1, wherein the flow monitoring device comprises a speed sensing device, a flow cross section sensing device, the method comprising:
respectively monitoring the flow of each discharge port through speed sensing equipment and flow section sensing equipment to obtain discharge speed information and discharge section information of each discharge port;
respectively calculating the discharge flow of each discharge port according to the discharge speed information and the discharge section information;
calculating the proportion of each discharge flow according to the discharge flow of each discharge port;
judging whether the discharge flow ratio is the same as the preset discharge flow ratio, and sending reminding information when the discharge flow ratio is different from the preset discharge flow ratio.
5. The method of claim 1, wherein the method comprises:
obtaining the latitude of the medicine discharging proportion and the latitude of the raw material index according to the medicine ingredient proportion information and the raw material index information;
based on the medicine discharging proportion latitude and the raw material index latitude, predicting a medicine proportion result to obtain a medicine production prediction result;
when the medicine production prediction result meets the medicine production requirement, the medicine discharge proportion tolerance and the raw material index tolerance are respectively added to the monitoring module, and the raw material index information and the preset discharge flow are set in a tolerance interval.
6. The method of claim 5, wherein predicting the drug proportioning result based on the drug discharge proportioning latitude and the raw material index latitude, before obtaining the drug production prediction result, comprises:
according to the raw material index information, carrying out discharge port control precision analysis and determining a discharge control precision constraint value;
establishing a maximum optimizing space of a medicine component proportioning precision target based on the medicine discharging proportioning latitude, the raw material index latitude and the discharging control precision constraint value;
and obtaining the optimal combination of the medicine discharging proportion latitude and the raw material index latitude through a global optimizing algorithm based on the optimizing space.
7. The method of claim 1, wherein the method further comprises:
performing performance analysis on each raw material based on the performance of the medicine, and determining the performance influence degree of each raw material;
determining the duty ratio threshold of each raw material according to the performance influence degree of each raw material;
obtaining medicine raw material information corresponding to each discharge port;
and determining a discharge proportion threshold value of the discharge port by utilizing the duty ratio threshold value of each raw material and the medicine raw material information corresponding to each discharge port, and adding the discharge proportion threshold value of the discharge port into the preset discharge flow.
8. A ejection of compact intelligent monitoring system for pharmaceutical production, a serial communication port, the system includes monitoring module, control module, the system includes:
the basic information acquisition module is used for acquiring medicine ingredient proportioning information and raw material index information;
the raw material monitoring module is used for respectively placing raw materials in a monitoring room and monitoring humidity and uniformity through the monitoring module to obtain raw material monitoring information;
the index judging module is used for sending a passing signal to the discharge monitoring system when judging that the raw material monitoring information meets the raw material index information;
the flow analysis module is used for carrying out discharge flow analysis on the basis of the medicine component proportioning information by the discharge monitoring system, generating discharge execution information and sending the discharge execution information to the control module;
the flow monitoring and early warning module is used for monitoring the flow through flow monitoring equipment arranged at the discharging node when the control module starts the execution information, judging whether the monitored flow meets the preset discharging flow or not, and sending reminding information when the monitored flow does not meet the preset discharging flow;
the flow analysis module comprises:
the flow control range acquisition module is used for acquiring a flow control range of the discharge port;
the flow proportion relation determining module is used for determining a flow proportion relation based on the medicine component proportion information;
and the flow control range matching module is used for matching the flow control range of the discharge ports according to the flow proportion relation to obtain flow execution information of each discharge port.
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101502512A (en) * | 2008-09-09 | 2009-08-12 | 山东淄博新达制药有限公司 | Amoxicillin/clavulanic acid blended stock preparation and rapid determination method for evenness |
| CN107185450A (en) * | 2017-05-22 | 2017-09-22 | 湘潭大学 | A kind of herbal cuisine grinding that can customize diet therapy formula and matching device |
| CN208612638U (en) * | 2018-03-20 | 2019-03-19 | 成都神鹤药业有限责任公司 | A kind of Chinese medicine processing unit (plant) that automatic and accurate proportion crushes |
| CN112232843A (en) * | 2020-11-11 | 2021-01-15 | 北京三维天地科技股份有限公司 | Drug supervision system and method based on big data technology |
| WO2021151302A1 (en) * | 2020-07-16 | 2021-08-05 | 平安科技（深圳）有限公司 | Drug quality-control analysis method, apparatus, device, and medium based on machine learning |
| CN215996312U (en) * | 2021-07-20 | 2022-03-11 | 胡厚军 | Raw materials proportioning device is used in medicine research and development |
| CN115542853A (en) * | 2022-09-19 | 2022-12-30 | 上海雷昶科技有限公司 | Novel method and system for monitoring pharmaceutical production process flow |
-
2023
- 2023-03-22 CN CN202310284042.1A patent/CN116300622B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101502512A (en) * | 2008-09-09 | 2009-08-12 | 山东淄博新达制药有限公司 | Amoxicillin/clavulanic acid blended stock preparation and rapid determination method for evenness |
| CN107185450A (en) * | 2017-05-22 | 2017-09-22 | 湘潭大学 | A kind of herbal cuisine grinding that can customize diet therapy formula and matching device |
| CN208612638U (en) * | 2018-03-20 | 2019-03-19 | 成都神鹤药业有限责任公司 | A kind of Chinese medicine processing unit (plant) that automatic and accurate proportion crushes |
| WO2021151302A1 (en) * | 2020-07-16 | 2021-08-05 | 平安科技（深圳）有限公司 | Drug quality-control analysis method, apparatus, device, and medium based on machine learning |
| CN112232843A (en) * | 2020-11-11 | 2021-01-15 | 北京三维天地科技股份有限公司 | Drug supervision system and method based on big data technology |
| CN215996312U (en) * | 2021-07-20 | 2022-03-11 | 胡厚军 | Raw materials proportioning device is used in medicine research and development |
| CN115542853A (en) * | 2022-09-19 | 2022-12-30 | 上海雷昶科技有限公司 | Novel method and system for monitoring pharmaceutical production process flow |
Non-Patent Citations (1)
| Title |
|---|
| "基于现场总线的原料药生产监控系统的设计与实现";张佳峰;《硕士电子期刊 工程科技Ⅰ辑》(第第6期期);正文第15页第1段至第46页第1段 * |
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