CN117055479B - Method and system for monitoring equipment state in oral solution drug production process - Google Patents

Method and system for monitoring equipment state in oral solution drug production process Download PDF

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CN117055479B
CN117055479B CN202310888259.3A CN202310888259A CN117055479B CN 117055479 B CN117055479 B CN 117055479B CN 202310888259 A CN202310888259 A CN 202310888259A CN 117055479 B CN117055479 B CN 117055479B
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opc
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equipment
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CN117055479A (en
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赵留栓
陈奕帆
李艳红
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Henan Shangheng Medical Technology Co ltd
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Henan Shangheng Medical Technology Co ltd
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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
    • G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
    • G05B19/41875—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by quality surveillance of production
    • 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
    • G05B2219/30—Nc systems
    • G05B2219/32—Operator till task planning
    • G05B2219/32368—Quality control

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  • Engineering & Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Manufacturing & Machinery (AREA)
  • Quality & Reliability (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • General Factory Administration (AREA)

Abstract

The invention provides a method and a system for monitoring equipment in the production process of oral solution medicines, comprising the steps of obtaining OPC items corresponding to the equipment in the production process of the oral solution medicines, dividing the OPC items into two types, wherein the first type of OPC items are integrally corresponding to the equipment, and the rest of OPC items are used as second type of OPC items; performing three-dimensional modeling on equipment in the oral solution drug production process based on the second type of OPC items, enabling the three-dimensional models to correspond to the equipment one by one, establishing an OPC server for each equipment, and establishing a corresponding relation between the equipment and the OPC server and the three-dimensional model; obtaining the state of the sub-model according to the value and the quality of the second type OPC item corresponding to the sub-model, and obtaining the state of the oral solution drug production equipment based on the state of each sub-model and the value and the quality of the first type OPC item; and displaying corresponding state information on the three-dimensional model and the sub-model. The invention not only realizes automatic monitoring, but also can be applied to digital twin, and improves the intelligent level in the process of drug production.

Description

Method and system for monitoring equipment state in oral solution drug production process
Technical Field
The invention relates to the field of equipment monitoring, in particular to a method and a system for monitoring equipment states in the process of oral solution drug production.
Background
Oral solutions are an oral pharmaceutical dosage form, typically provided to a patient in solution form. The production of oral solution involves the steps of selecting raw materials of the medicine, dissolving, mixing, sterilizing, etc. Process monitoring refers to real-time or periodic monitoring and recording of key parameters and indicators in the production process to ensure stability and consistency of product quality. Quality control of the pharmaceutical manufacturing process is critical. Through digital twinning, key parameters and indexes in the production process, such as temperature, pressure, flow rate, concentration and the like, can be monitored in real time. By comparing with an actual production line, production abnormality, variation or equipment failure can be found in time, so that consistency and quality of a drug production process are guaranteed, potential problems, abnormal conditions or equipment failure can be found in time, measures can be taken in advance, production line shutdown is avoided, production efficiency is reduced or quality problems are generated, the production line is monitored and analyzed through a model, equipment abnormality can be detected, equipment failure is predicted, and corresponding maintenance advice is provided. This helps to perform preventative maintenance, reduces downtime, reduces maintenance costs, and improves equipment reliability and life. However, the monitoring of the device status in the oral solution drug production process by adopting a digital twin mode involves a lot of data, such as different sensors, logs of the device itself, etc., and how to use these heterogeneous data to monitor the device is a problem to be solved in the art.
Disclosure of Invention
In order to solve the above problems, in a first aspect, the present invention provides a method for monitoring the status of equipment in the production process of oral solution medicines, the method comprising the steps of:
s1, acquiring an OPC item corresponding to equipment in the production process of oral solution medicines, classifying the OPC item into two types according to the parts of the equipment corresponding to the OPC item, wherein the first type OPC item corresponds to the whole equipment, and the rest is used as a second type OPC item;
S2, carrying out three-dimensional modeling on equipment in the oral solution drug production process based on the second type of OPC items, enabling the three-dimensional models to correspond to the equipment one by one, establishing an OPC server for each equipment, and establishing a corresponding relation between the equipment and the OPC server and the three-dimensional model; wherein a second type of OPC item corresponds to at least one sub-model of the three-dimensional model; the sub-model is driven by a second type of OPC item corresponding to the sub-model, and the three-dimensional model is driven by a first type of OPC item and a second type of OPC item;
S3, obtaining states of the sub-models according to values and qualities of the second-type OPC items corresponding to the sub-models, and obtaining states of oral solution drug production equipment based on the states of the sub-models and the values and qualities of the first-type OPC items; and displaying corresponding state information on the three-dimensional model and the sub-model.
Preferably, the step S3 further includes step S4;
S4, acquiring three-dimensional models corresponding to all equipment on an oral solution drug production line, and displaying the state of the whole production line on a virtual production line corresponding to the production line.
Preferably, the device in the oral solution drug production process is three-dimensionally modeled based on the second type of OPC items, specifically:
Acquiring equipment components monitored by the second type of OPC items, grouping the second type of OPC items according to the monitored equipment components, wherein each group corresponds to one equipment component, and performing three-dimensional modeling on each group of corresponding equipment components to obtain at least one sub-model;
Carrying out three-dimensional modeling on the rest part of the equipment which is not corresponding to the second type of OPC items as a whole to obtain a static three-dimensional model of the equipment;
And combining the at least one sub-model and the static three-dimensional model to obtain the three-dimensional modeling of the equipment.
Preferably, the obtaining the state of the sub-model according to the value and the quality of the second type OPC item corresponding to the sub-model specifically includes:
When the quality of the second type of OPC items corresponding to the sub-model is normal, judging whether the values of the second type of OPC items corresponding to the sub-model are in a normal range, if so, the state of the sub-model is normal, otherwise, the state of the sub-model is abnormal;
judging the number of the second type OPC items corresponding to the sub-model when the quality deviation is normal in the second type OPC items corresponding to the sub-model, acquiring the states of other sub-modules associated with the sub-module in the assembly line when the number is 1, and not sending out abnormal reminding if the states of the other sub-modules are normal; otherwise, sending out an abnormal reminder; when the number exceeds 1, acquiring states of other sub-modules related to the sub-modules in the pipeline, acquiring other second-type OPC items of the sub-modules, and determining whether to send out state abnormality reminding according to the states of the other sub-modules and the other second-type OPC items.
Preferably, the determining whether to issue a state exception alert according to the states of the other sub-modules and the other second type OPC items is specifically:
If the states of the other sub-modules are abnormal and/or the states of other second-type OPC items are abnormal, a state abnormality prompt is sent out, otherwise, the state abnormality prompt is not sent out.
Preferably, the state of the oral solution drug production device is obtained based on the state of each sub-model and the value and quality of the first type OPC item, specifically:
If the submodel is abnormal, sending out an abnormal state prompt of oral solution drug production equipment; otherwise, when the quality of the first type of OPC items is normal and the value of the first type of OPC items is not in the normal range, an equipment state abnormality reminding is sent out, and when the quality of the first type of OPC items is abnormal, the equipment state abnormality reminding is not sent out.
Preferably, before the displaying of the corresponding state information on the three-dimensional model and the sub-model, the method further comprises:
And if the equipment has the abnormal quality of the OPC items for more than a preset time, displaying information of poor quality of the OPC items on the three-dimensional model or the sub-model according to the classification of the OPC items.
In another aspect, the invention also provides a system for monitoring equipment status in the process of producing oral solution medicaments, which comprises the following modules:
the OPC item classification module is used for acquiring OPC items corresponding to equipment in the production process of oral solution medicines, classifying the OPC items into two types according to the parts of the equipment corresponding to the OPC items, wherein the first type of OPC items correspond to the whole equipment, and the rest of OPC items are used as second type of OPC items;
The three-dimensional modeling module is used for carrying out three-dimensional modeling on equipment in the oral solution drug production process based on the second type of OPC items, corresponding the three-dimensional models to the equipment one by one, establishing an OPC server for each equipment, and establishing a corresponding relation between the equipment and the OPC server and the three-dimensional model; wherein a second type of OPC item corresponds to at least one sub-model of the three-dimensional model; the sub-model is driven by a second type of OPC item corresponding to the sub-model, and the three-dimensional model is driven by a first type of OPC item and a second type of OPC item;
The state monitoring module is used for obtaining the state of the sub-model according to the value and the quality of the second type OPC item corresponding to the sub-model, and obtaining the state of the oral solution drug production equipment based on the state of each sub-model and the value and the quality of the first type OPC item; and displaying corresponding state information on the three-dimensional model and the sub-model.
Preferably, the state monitoring module further comprises a production line monitoring module;
The production line monitoring module is used for acquiring three-dimensional models corresponding to all equipment on the oral solution drug production line, and displaying the state of the whole production line on the virtual production line corresponding to the production line.
Preferably, the device in the oral solution drug production process is three-dimensionally modeled based on the second type of OPC items, specifically:
Acquiring equipment components monitored by the second type of OPC items, grouping the second type of OPC items according to the monitored equipment components, wherein each group corresponds to one equipment component, and performing three-dimensional modeling on each group of corresponding equipment components to obtain at least one sub-model;
Carrying out three-dimensional modeling on the rest part of the equipment which is not corresponding to the second type of OPC items as a whole to obtain a static three-dimensional model of the equipment;
And combining the at least one sub-model and the static three-dimensional model to obtain the three-dimensional modeling of the equipment.
Preferably, the obtaining the state of the sub-model according to the value and the quality of the second type OPC item corresponding to the sub-model specifically includes:
When the quality of the second type of OPC items corresponding to the sub-model is normal, judging whether the values of the second type of OPC items corresponding to the sub-model are in a normal range, if so, the state of the sub-model is normal, otherwise, the state of the sub-model is abnormal;
judging the number of the second type OPC items corresponding to the sub-model when the quality deviation is normal in the second type OPC items corresponding to the sub-model, acquiring the states of other sub-modules associated with the sub-module in the assembly line when the number is 1, and not sending out abnormal reminding if the states of the other sub-modules are normal; otherwise, sending out an abnormal reminder; when the number exceeds 1, acquiring states of other sub-modules related to the sub-modules in the pipeline, acquiring other second-type OPC items of the sub-modules, and determining whether to send out state abnormality reminding according to the states of the other sub-modules and the other second-type OPC items.
Preferably, the determining whether to issue a state exception alert according to the states of the other sub-modules and the other second type OPC items is specifically:
If the states of the other sub-modules are abnormal and/or the states of other second-type OPC items are abnormal, a state abnormality prompt is sent out, otherwise, the state abnormality prompt is not sent out.
Preferably, the state of the oral solution drug production device is obtained based on the state of each sub-model and the value and quality of the first type OPC item, specifically:
If the submodel is abnormal, sending out an abnormal state prompt of oral solution drug production equipment; otherwise, when the quality of the first type of OPC items is normal and the value of the first type of OPC items is not in the normal range, an equipment state abnormality reminding is sent out, and when the quality of the first type of OPC items is abnormal, the equipment state abnormality reminding is not sent out.
Preferably, before the displaying of the corresponding state information on the three-dimensional model and the sub-model, the method further comprises:
And if the equipment has the abnormal quality of the OPC items for more than a preset time, displaying information of poor quality of the OPC items on the three-dimensional model or the sub-model according to the classification of the OPC items.
Furthermore, the invention provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a method as described above. In addition, the invention also provides a device for monitoring the equipment state in the oral solution drug production process, which comprises the system or the computer readable storage medium.
The invention is based on the intelligent factory technology of digital twinning, combines with OPC protocol, monitors the state of the equipment in the process of producing oral solution medicine through OPC item, models the equipment according to OPC item in modeling, considers the quality factors in OPC item when determining the equipment parts and the equipment state, has good expansion and compatibility on one hand, and can monitor the equipment conveniently according to OPC item in OPC server when adding sensor or other data source; on the other hand, the OPC protocol is combined into a digital twin three-dimensional model, so that the driving relation between data and the model is established, and the conditions of equipment and equipment components can be dynamically displayed in a three-dimensional view.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the present invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a first embodiment;
FIG. 2 is a diagram showing the correspondence between the software and hardware of an OPC system in the prior art;
FIG. 3 is a diagram showing the correspondence between the software and hardware of the OPC system of the present invention;
Fig. 4 is a flowchart of an embodiment of the first embodiment.
Detailed Description
In this document, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but 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
The invention provides a method for monitoring equipment state in the production process of oral solution medicines, as shown in figure 1, which comprises the following steps:
s1, acquiring an OPC item corresponding to equipment in the production process of oral solution medicines, classifying the OPC item into two types according to the parts of the equipment corresponding to the OPC item, wherein the first type OPC item corresponds to the whole equipment, and the rest is used as a second type OPC item;
OPC (OLEforProcessControl) is a protocol for implementing automation control based on COM/DCOM technology, and the architecture is shown in fig. 2, the application program accesses data through a server provided by OPC, and the server obtains data from a sensor or PLC according to a driver provided by a manufacturer of a hardware device. The OPC protocol is adopted to solve the problem that the data formats of different equipment manufacturers are not uniform, and the data formats of different manufacturers do not need to be concerned through the OPC protocol. According to the OPC custom interface data access specification, an OPC data access Server is composed of Server objects (servers), group objects (groups), item objects (items), and may also be in the form of OPC organization data, where a Server object includes one or more Group objects, and a Group object includes one or more Item objects, where an OPC Item includes a Value (Value), quality (Quality), and time stamp (time stamp) for describing and representing attributes of data and related information of the Item, where Quality represents reliability or credibility of the Value, and time stamp represents generation time of the OPC Item. OPC items are classified into two types according to the source of the OPC item data, wherein one type is related to specific parts or parts of equipment, namely the OPC items are monitored on specific parts of equipment, for example, the value of the second type of OPC items is motor voltage or motor rotating speed and the like, and the other type of OPC items are monitored on the whole equipment, for example, the level condition of the equipment, the temperature or humidity of the environment where the equipment is located and the like, and the value of the OPC items is data of a level sensor or a temperature and humidity sensor.
S2, carrying out three-dimensional modeling on equipment in the oral solution drug production process based on the second type of OPC items, enabling the three-dimensional models to correspond to the equipment one by one, establishing an OPC server for each equipment, and establishing a corresponding relation between the equipment and the OPC server and the three-dimensional model, as shown in FIG. 3; wherein a second type of OPC item corresponds to at least one sub-model of the three-dimensional model; the sub-model is driven by a second type of OPC item corresponding to the sub-model, and the three-dimensional model is driven by a first type of OPC item and a second type of OPC item;
The number of specific parts of the device corresponding to the OPC item reflects the modeling accuracy with which the device is to be modeled, where modeling accuracy refers to the granularity of the device division, and if there are more specific parts corresponding to the second type of OPC item, more specific parts need to be modeled during modeling, and vice versa. After modeling the equipment, an OPC server is arranged for each equipment, and an equipment-OPC server-three-dimensional model is formed from a bottom layer to an upper layer or from a hardware base layer to a data layer, so that a hierarchical structure is formed, then a virtual pipeline is formed according to the relation of the equipment in each step on the pipeline, when the equipment or equipment components are abnormal, the equipment or equipment components are displayed on the virtual pipeline, as shown in fig. 3, if the equipment is newly added or replaced, only codes in the corresponding OPC server are required to be changed, and pluggable management can be realized.
The first type of OPC items are monitoring of the whole equipment, the second type of OPC items are monitoring of specific parts or components of the equipment, one part or part corresponds to 0 or 1 or more OPC items, when one part or part corresponds to 0 OPC items, the part or part does not need to be modeled separately and is directly used as the whole part of the equipment, if the part or part corresponds to 1 or more OPC items, the part or part needs to be modeled, for example, in filling equipment, a channel procedure is filling, collected data comprises filling speed and filling quantity, and the two parameters are two OPC items, but only the filling part of the filling equipment is involved, and the filling part needs to be modeled to obtain a submodel.
The sub-model is driven by the second type of OPC item corresponding to the sub-model, which means that a change in the content of the OPC item corresponding to the sub-model causes a change in the state of the sub-model, for example, in a digital twin model of the device, when the speed of the motor adjusting the transmission speed of the device changes, a change in the value of the OPC item of the motor sub-model is caused, and further, the state of the sub-model corresponding to the motor also changes. For another example, a change in the manipulator operating speed or direction may cause a change in the content of the OPC item of the manipulator, at which time in the model the manipulator operating speed or direction may also change.
The three-dimensional model is driven by the first type of OPC items and the second type of OPC items, which means that the change of the three-dimensional model corresponding to the equipment is caused by the change of the first type of OPC items and the second type of OPC items. For example, the first type of OPC items are device level levels, and when the values of the first type of OPC items change, the level of the corresponding three-dimensional model of the device changes.
S3, obtaining states of the sub-models according to values and qualities of the second-type OPC items corresponding to the sub-models, and obtaining states of oral solution drug production equipment based on the states of the sub-models and the values and qualities of the first-type OPC items; and displaying corresponding state information on the three-dimensional model and the sub-model.
The second type of OPC items and the sub-models are corresponding, the content of the second type of OPC items comes from the sub-components or sub-components corresponding to the sub-models, and the states of the sub-models can be obtained through the values and the qualities of the second type of OPC items. Likewise, the status information of the production facility is determined by the values and qualities of the first type of OPC items and the status of the sub-models included therein. In a specific embodiment, the state of each sub-model is used, and the second type OPC items are not directly adopted, so that the data calculation amount is reduced, on one hand, the sub-model is integrally related to the equipment, the state of the sub-module is further determined from the integral first type OPC items, and further the state determination of the whole equipment is realized.
The oral solution pharmaceutical production line may have a plurality of devices, including but not limited to solution preparation, filtration and purification, sterilization, filling, packaging, etc., and the steps in the whole production line are interrelated, and a problem occurs in the devices in one step, which may cause abnormality in the devices in the subsequent steps, and in a specific embodiment, as shown in fig. 4, S4 is further included after S3;
S4, acquiring three-dimensional models corresponding to all equipment on an oral solution drug production line, and displaying the state of the whole production line on a virtual production line corresponding to the production line.
The three-dimensional model of the whole production line can be built through a digital twin technology to form a virtual production line, the equipment models on the production line are combined to further display the state of the whole production line, when an abnormality occurs, equipment with the earliest abnormality can be rapidly determined according to the sequence of the steps on the production line, and even specific parts of the equipment with the abnormality can be positioned.
In the invention, modeling of production equipment is different from common modeling, the common modeling is directly performed according to the shape of the equipment, each part of the equipment needs to be determined for modeling the production equipment, and the parts corresponding to OPC items need to be independently modeled, so that when the states of the parts change, the corresponding parts correspondingly change, the parts are the component structures of the equipment, such as a motor of a mechanical arm, a track of a conveyor belt and the like, and the equipment in the oral solution medicine production process is three-dimensionally modeled based on the second type OPC items, specifically:
Acquiring equipment components monitored by the second type of OPC items, grouping the second type of OPC items according to the monitored equipment components, wherein each group corresponds to one equipment component, and performing three-dimensional modeling on each group of corresponding equipment components to obtain at least one sub-model;
Carrying out three-dimensional modeling on the rest part of the equipment which is not corresponding to the second type of OPC items as a whole to obtain a static three-dimensional model of the equipment;
And combining the at least one sub-model and the static three-dimensional model to obtain the three-dimensional modeling of the equipment.
Wherein the second type of OPC items are used for monitoring the condition of the equipment components, the second type of OPC items are grouped according to the monitored equipment components, each group corresponding to one equipment component, such that it is possible to determine which components of the equipment are monitored, in particular, if there are 4 second type of OPC items, of which the first and second monitor the pressure and flow rate of the filling components of the filling equipment, the third and fourth monitor the number of containers, e.g. carafe, and carafe position according to the action or position of the mechanical structure, and two groups are obtained by grouping the second type of OPC items according to the monitored equipment components: pouring member sets and container sets, the pouring member and container members are modeled, respectively. The rest of the perfusion apparatus is modeled as a whole as a static part, which not only reduces the effort in modeling, but also allows for displaying changes in the state of the parts monitored by the second type of OPC item based on changes in the content of the OPC item.
Each sub-model corresponds to one or more second-type OPC items, and the state of the sub-model is obtained according to the value and the quality of the second-type OPC items corresponding to the sub-model, specifically:
When the quality of the second type of OPC items corresponding to the sub-model is normal, judging whether the values of the second type of OPC items corresponding to the sub-model are in a normal range, if so, the state of the sub-model is normal, otherwise, the state of the sub-model is abnormal;
The quality in the OPC item represents the reliability or trustworthiness of the OPC Value, and when the quality is normal, the Value in the OPC item is indicated to be reliable, and if the quality of the OPC item is normal, the Value (Value) of the OPC item is indicated to be trustworthy, otherwise, the data is not trustworthy. When the quality is normal and the value of the OPC term is in the normal range, the sub-model is indicated to be normal.
When the quality of the OPC item deviates from normal, the data at this time is not trusted, which requires further determination of whether the sub-module is normal by means of other information. In one embodiment, when the quality deviation is normal in the second type of OPC items corresponding to the sub-model, judging the number of the second type of OPC items corresponding to the sub-model, when the number is 1, acquiring the states of other sub-modules associated with the sub-module in the assembly line, and if the states of the other sub-modules are normal, not sending out abnormal reminding; otherwise, sending out an abnormal reminder; when the number exceeds 1, acquiring states of other sub-modules related to the sub-modules in the pipeline, acquiring other second-type OPC items of the sub-modules, and determining whether to send out state abnormality reminding according to the states of the other sub-modules and the other second-type OPC items.
That is, when the number of the second type of OPC items corresponding to one sub-model is only 1, the states of other sub-modules associated with the sub-modules in the pipeline are utilized to further judge the states of the sub-modules, if the other sub-modules associated with the sub-modules are in a normal state, the sub-modules are determined to be normal, otherwise, the sub-modules are determined to be abnormal, so that the problem can be more thoroughly searched during the inspection. In a specific embodiment, the method for judging other sub-modules associated with the sub-modules in the pipeline is to determine, according to the step of the pipeline, the step in which the current sub-module is located and the previous step and the next step of the step in which the sub-module is located, determine each device in the step in which the sub-module is located, each device in the previous step and each device in the next step, and determine each sub-module of the devices corresponding to the three steps as the other sub-module associated with the sub-module.
In another embodiment, the determining whether to issue the state exception alert according to the state of the other sub-modules and the other second type OPC items specifically includes:
If the states of the other sub-modules are abnormal and/or the states of other second-type OPC items are abnormal, a state abnormality prompt is sent out, otherwise, the state abnormality prompt is not sent out.
The state of the production equipment is determined not only according to the state of each sub-module in the equipment, but also according to a first type OPC item, for example, each sub-module is normal, but if monitoring finds that the temperature is abnormal, the production equipment is abnormal, and the state of the oral solution medicine production equipment is obtained based on the state of each sub-module and the value and quality of the first type OPC item, specifically:
If the submodel is abnormal, sending out an abnormal state prompt of oral solution drug production equipment; otherwise, when the quality of the first type of OPC items is normal and the value of the first type of OPC items is not in the normal range, an equipment state abnormality reminding is sent out, and when the quality of the first type of OPC items is abnormal, the equipment state abnormality reminding is not sent out.
However, when the quality of the OPC item is in an abnormal state for a long time, it indicates that there is a fault in the monitoring device or the OPC server or the communication, and in this case, it is also required to detect an abnormal point, and in a specific embodiment, before displaying the corresponding state information on the three-dimensional model and the sub-model, the method further includes:
And if the equipment has the abnormal quality of the OPC items for more than a preset time, displaying information of poor quality of the OPC items on the three-dimensional model or the sub-model according to the classification of the OPC items.
Example two
The invention also provides a system for monitoring the equipment state in the oral solution drug production process, as shown in fig. 4, the system comprises the following modules:
the OPC item classification module is used for acquiring OPC items corresponding to equipment in the production process of oral solution medicines, classifying the OPC items into two types according to the parts of the equipment corresponding to the OPC items, wherein the first type of OPC items correspond to the whole equipment, and the rest of OPC items are used as second type of OPC items;
The three-dimensional modeling module is used for carrying out three-dimensional modeling on equipment in the oral solution drug production process based on the second type of OPC items, corresponding the three-dimensional models to the equipment one by one, establishing an OPC server for each equipment, and establishing a corresponding relation between the equipment and the OPC server and the three-dimensional model; wherein a second type of OPC item corresponds to at least one sub-model of the three-dimensional model; the sub-model is driven by a second type of OPC item corresponding to the sub-model, and the three-dimensional model is driven by a first type of OPC item and a second type of OPC item;
The state monitoring module is used for obtaining the state of the sub-model according to the value and the quality of the second type OPC item corresponding to the sub-model, and obtaining the state of the oral solution drug production equipment based on the state of each sub-model and the value and the quality of the first type OPC item; and displaying corresponding state information on the three-dimensional model and the sub-model.
Preferably, the state monitoring module further comprises a production line monitoring module;
The production line monitoring module is used for acquiring three-dimensional models corresponding to all equipment on the oral solution drug production line, and displaying the state of the whole production line on the virtual production line corresponding to the production line.
Preferably, the device in the oral solution drug production process is three-dimensionally modeled based on the second type of OPC items, specifically:
Acquiring equipment components monitored by the second type of OPC items, grouping the second type of OPC items according to the monitored equipment components, wherein each group corresponds to one equipment component, and performing three-dimensional modeling on each group of corresponding equipment components to obtain at least one sub-model;
Carrying out three-dimensional modeling on the rest part of the equipment which is not corresponding to the second type of OPC items as a whole to obtain a static three-dimensional model of the equipment;
And combining the at least one sub-model and the static three-dimensional model to obtain the three-dimensional modeling of the equipment.
Preferably, the obtaining the state of the sub-model according to the value and the quality of the second type OPC item corresponding to the sub-model specifically includes:
When the quality of the second type of OPC items corresponding to the sub-model is normal, judging whether the values of the second type of OPC items corresponding to the sub-model are in a normal range, if so, the state of the sub-model is normal, otherwise, the state of the sub-model is abnormal;
judging the number of the second type OPC items corresponding to the sub-model when the quality deviation is normal in the second type OPC items corresponding to the sub-model, acquiring the states of other sub-modules associated with the sub-module in the assembly line when the number is 1, and not sending out abnormal reminding if the states of the other sub-modules are normal; otherwise, sending out an abnormal reminder; when the number exceeds 1, acquiring states of other sub-modules related to the sub-modules in the pipeline, acquiring other second-type OPC items of the sub-modules, and determining whether to send out state abnormality reminding according to the states of the other sub-modules and the other second-type OPC items.
Preferably, the determining whether to issue a state exception alert according to the states of the other sub-modules and the other second type OPC items is specifically:
If the states of the other sub-modules are abnormal and/or the states of other second-type OPC items are abnormal, a state abnormality prompt is sent out, otherwise, the state abnormality prompt is not sent out.
Preferably, the state of the oral solution drug production device is obtained based on the state of each sub-model and the value and quality of the first type OPC item, specifically:
If the submodel is abnormal, sending out an abnormal state prompt of oral solution drug production equipment; otherwise, when the quality of the first type of OPC items is normal and the value of the first type of OPC items is not in the normal range, an equipment state abnormality reminding is sent out, and when the quality of the first type of OPC items is abnormal, the equipment state abnormality reminding is not sent out.
Preferably, before the displaying of the corresponding state information on the three-dimensional model and the sub-model, the method further comprises:
And if the equipment has the abnormal quality of the OPC items for more than a preset time, displaying information of poor quality of the OPC items on the three-dimensional model or the sub-model according to the classification of the OPC items.
Example III
The present invention provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a method as described in the first embodiment.
Example IV
The invention also provides a computer device comprising a processor, a memory, the memory having stored thereon a computer program which, when executed by the processor, implements a method as described in the first embodiment.
From the above description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by adding necessary general purpose hardware platforms, or may be implemented by a combination of hardware and software. Based on such understanding, the foregoing aspects, in essence and portions contributing to the art, may be embodied in the form of a computer program product, which may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims (7)

1. A method for monitoring equipment state in the process of producing oral solution medicaments, which is characterized by comprising the following steps of:
s1, acquiring an OPC item corresponding to equipment in the production process of oral solution medicines, classifying the OPC item into two types according to the parts of the equipment corresponding to the OPC item, wherein the first type OPC item corresponds to the whole equipment, and the rest is used as a second type OPC item;
S2, carrying out three-dimensional modeling on equipment in the oral solution drug production process based on the second type of OPC items, enabling the three-dimensional models to correspond to the equipment one by one, establishing an OPC server for each equipment, and establishing a corresponding relation between the equipment and the OPC server and the three-dimensional model; wherein a second type of OPC item corresponds to at least one sub-model of the three-dimensional model; the sub-model is driven by a second type of OPC item corresponding to the sub-model, and the three-dimensional model is driven by a first type of OPC item and a second type of OPC item; wherein, the sub-model is driven by the second type of OPC items corresponding to the sub-model, which means that the change of the content of the OPC items corresponding to the sub-model can cause the change of the state of the sub-model;
S3, obtaining states of the sub-models according to values and qualities of the second-type OPC items corresponding to the sub-models, and obtaining states of oral solution drug production equipment based on the states of the sub-models and the values and qualities of the first-type OPC items; displaying corresponding state information on the three-dimensional model and the sub-model;
the equipment in the oral solution drug production process is subjected to three-dimensional modeling based on the second type of OPC items, and the method specifically comprises the following steps:
Acquiring equipment components monitored by the second type of OPC items, grouping the second type of OPC items according to the monitored equipment components, wherein each group corresponds to one equipment component, and performing three-dimensional modeling on each group of corresponding equipment components to obtain at least one sub-model;
Carrying out three-dimensional modeling on the rest part of the equipment which is not corresponding to the second type of OPC items as a whole to obtain a static three-dimensional model of the equipment;
Combining the at least one sub-model and the static three-dimensional model to obtain a three-dimensional modeling of the device;
The state of the sub-model is obtained according to the value and the quality of the second type OPC item corresponding to the sub-model, specifically:
When the quality of the second type of OPC items corresponding to the sub-model is normal, judging whether the values of the second type of OPC items corresponding to the sub-model are in a normal range, if so, the state of the sub-model is normal, otherwise, the state of the sub-model is abnormal;
Judging the number of the second type OPC items corresponding to the sub-model when the quality deviation is normal in the second type OPC items corresponding to the sub-model, acquiring the states of other sub-modules related to the sub-module in the assembly line when the number is 1, and not sending out abnormal reminding if the states of the other sub-modules are normal; otherwise, sending out an abnormal reminder; when the number exceeds 1, acquiring states of other sub-modules related to the sub-modules in the pipeline, acquiring other second-type OPC items of the sub-modules, and determining whether to send out state abnormality reminding according to the states of the other sub-modules and the other second-type OPC items.
2. The method of claim 1, wherein S3 further comprises S4;
S4, acquiring three-dimensional models corresponding to all equipment on an oral solution drug production line, and displaying the state of the whole production line on a virtual production line corresponding to the production line.
3. The method of claim 1, wherein the determining whether to issue a status exception alert based on the status of the other sub-modules and the other second type OPC items is specifically:
If the states of the other sub-modules are abnormal and/or the states of other second-type OPC items are abnormal, a state abnormality prompt is sent out, otherwise, the state abnormality prompt is not sent out.
4. The method according to claim 1, wherein the state of the oral solution drug production device is obtained based on the state of each sub-model and the values and qualities of the first type of OPC items, in particular:
If the submodel is abnormal, sending out an abnormal state prompt of oral solution drug production equipment; otherwise, when the quality of the first type of OPC items is normal and the value of the first type of OPC items is not in the normal range, an equipment state abnormality reminding is sent out, and when the quality of the first type of OPC items is abnormal, the equipment state abnormality reminding is not sent out.
5. The method of claim 1, further comprising, prior to displaying the corresponding state information on the three-dimensional model and the sub-model:
And if the equipment has the abnormal quality of the OPC items for more than a preset time, displaying information of poor quality of the OPC items on the three-dimensional model or the sub-model according to the classification of the OPC items.
6. A system for monitoring the status of equipment in the process of producing oral solution medicaments, which is characterized by comprising the following modules:
the OPC item classification module is used for acquiring OPC items corresponding to equipment in the production process of oral solution medicines, classifying the OPC items into two types according to the parts of the equipment corresponding to the OPC items, wherein the first type of OPC items correspond to the whole equipment, and the rest of OPC items are used as second type of OPC items;
The three-dimensional modeling module is used for carrying out three-dimensional modeling on equipment in the oral solution drug production process based on the second type of OPC items, corresponding the three-dimensional models to the equipment one by one, establishing an OPC server for each equipment, and establishing a corresponding relation between the equipment and the OPC server and the three-dimensional model; wherein a second type of OPC item corresponds to at least one sub-model of the three-dimensional model; the sub-model is driven by a second type of OPC item corresponding to the sub-model, and the three-dimensional model is driven by a first type of OPC item and a second type of OPC item; wherein, the sub-model is driven by the second type of OPC items corresponding to the sub-model, which means that the change of the content of the OPC items corresponding to the sub-model can cause the change of the state of the sub-model;
the state monitoring module is used for obtaining the state of the sub-model according to the value and the quality of the second type OPC item corresponding to the sub-model, and obtaining the state of the oral solution drug production equipment based on the state of each sub-model and the value and the quality of the first type OPC item; displaying corresponding state information on the three-dimensional model and the sub-model;
the equipment in the oral solution drug production process is subjected to three-dimensional modeling based on the second type of OPC items, and the method specifically comprises the following steps:
Acquiring equipment components monitored by the second type of OPC items, grouping the second type of OPC items according to the monitored equipment components, wherein each group corresponds to one equipment component, and performing three-dimensional modeling on each group of corresponding equipment components to obtain at least one sub-model;
Carrying out three-dimensional modeling on the rest part of the equipment which is not corresponding to the second type of OPC items as a whole to obtain a static three-dimensional model of the equipment;
Combining the at least one sub-model and the static three-dimensional model to obtain a three-dimensional modeling of the device;
The state of the sub-model is obtained according to the value and the quality of the second type OPC item corresponding to the sub-model, specifically:
When the quality of the second type of OPC items corresponding to the sub-model is normal, judging whether the values of the second type of OPC items corresponding to the sub-model are in a normal range, if so, the state of the sub-model is normal, otherwise, the state of the sub-model is abnormal;
Judging the number of the second type OPC items corresponding to the sub-model when the quality deviation is normal in the second type OPC items corresponding to the sub-model, acquiring the states of other sub-modules related to the sub-module in the assembly line when the number is 1, and not sending out abnormal reminding if the states of the other sub-modules are normal; otherwise, sending out an abnormal reminder; when the number exceeds 1, acquiring states of other sub-modules related to the sub-modules in the pipeline, acquiring other second-type OPC items of the sub-modules, and determining whether to send out state abnormality reminding according to the states of the other sub-modules and the other second-type OPC items.
7. The system of claim 6, wherein the status of the oral solution drug manufacturing facility is derived based on the status of each sub-model and the values and qualities of the first type of OPC items, in particular:
If the submodel is abnormal, sending out an abnormal state prompt of oral solution drug production equipment; otherwise, when the quality of the first type of OPC items is normal and the value of the first type of OPC items is not in the normal range, an equipment state abnormality reminding is sent out, and when the quality of the first type of OPC items is abnormal, the equipment state abnormality reminding is not sent out.
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