CN117452894B - Production management method and system of injection production equipment - Google Patents
Production management method and system of injection production equipment Download PDFInfo
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- CN117452894B CN117452894B CN202311439263.8A CN202311439263A CN117452894B CN 117452894 B CN117452894 B CN 117452894B CN 202311439263 A CN202311439263 A CN 202311439263A CN 117452894 B CN117452894 B CN 117452894B
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- 238000004519 manufacturing process Methods 0.000 title claims abstract description 246
- 238000002347 injection Methods 0.000 title claims abstract description 43
- 239000007924 injection Substances 0.000 title claims abstract description 43
- 238000007726 management method Methods 0.000 title claims abstract description 30
- 230000002159 abnormal effect Effects 0.000 claims abstract description 102
- 238000012544 monitoring process Methods 0.000 claims abstract description 79
- 238000000034 method Methods 0.000 claims abstract description 35
- 230000008569 process Effects 0.000 claims abstract description 16
- 239000007788 liquid Substances 0.000 claims description 48
- 239000003708 ampul Substances 0.000 claims description 44
- 238000012546 transfer Methods 0.000 claims description 39
- 230000005856 abnormality Effects 0.000 claims description 21
- 230000005540 biological transmission Effects 0.000 claims description 19
- 230000004044 response Effects 0.000 abstract description 7
- 230000000694 effects Effects 0.000 abstract description 6
- 238000011144 upstream manufacturing Methods 0.000 description 6
- 239000000463 material Substances 0.000 description 3
- 238000012545 processing Methods 0.000 description 3
- 239000000047 product Substances 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 2
- 238000000605 extraction Methods 0.000 description 2
- 238000003908 quality control method Methods 0.000 description 2
- 230000001954 sterilising effect Effects 0.000 description 2
- 238000004659 sterilization and disinfection Methods 0.000 description 2
- 239000002699 waste material Substances 0.000 description 2
- 230000006399 behavior Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000004140 cleaning Methods 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000001816 cooling Methods 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 238000010219 correlation analysis Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000004090 dissolution Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000012530 fluid Substances 0.000 description 1
- 230000004927 fusion Effects 0.000 description 1
- 238000007499 fusion processing Methods 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 230000002452 interceptive effect Effects 0.000 description 1
- 239000013067 intermediate product Substances 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000013178 mathematical model Methods 0.000 description 1
- 229940127554 medical product Drugs 0.000 description 1
- 238000002156 mixing Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000004806 packaging method and process Methods 0.000 description 1
- 238000013105 post hoc analysis Methods 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 239000002994 raw material Substances 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
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- 238000012216 screening 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
- G05B19/418—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]
- G05B19/41865—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 job scheduling, process planning, material flow
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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
- G05B2219/30—Nc systems
- G05B2219/32—Operator till task planning
- G05B2219/32252—Scheduling production, machining, job shop
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Abstract
The application discloses a production management method and a production management system of injection production equipment, which relate to the technical field of pharmaceutical production, and the method comprises the following steps: the production equipment information of each process node in the injection production process is obtained; generating an equipment control chain according to the equipment joint relation of the production equipment information of each flow node; the method comprises the steps of monitoring data of a device control chain in real time to obtain a device monitoring data set; predicting according to the equipment monitoring data set to obtain the fault probability between adjacent production equipment; when any fault probability is larger than a preset fault probability, a first positioning instruction is obtained; and determining the abnormal adjacent production equipment according to the first positioning instruction, suspending the first abnormal equipment in the abnormal adjacent production equipment based on the abnormal adjacent production equipment, and suspending the front operation position of the first abnormal equipment. Thereby achieving the technical effects of rapid monitoring and management response and improving the production quality of the injection.
Description
Technical Field
The invention relates to the technical field of pharmaceutical production, in particular to a production management method and system of injection production equipment.
Background
The injection is an important medical product, and is usually prepared in a highly clean production environment, and has the advantages of long production flow and high special degree of production equipment, and the injection production equipment is required to be monitored in time and controlled strictly so as to ensure the quality and safety of the injection. The existing production equipment management technology has the technical problems that the monitoring management response is slow, and the production quality of injection is affected.
Disclosure of Invention
The application aims to provide a production management method and system of injection production equipment. The method is used for solving the technical problems that the monitoring management response is slow and the production quality of injection is affected in the prior art.
In view of the above technical problems, the application provides a production management method and system of injection production equipment.
In a first aspect, the present application provides a production management method of an injection production apparatus, wherein the method comprises:
Acquiring production equipment information of each process node in the injection production process; generating an equipment control chain according to the equipment joint relation of the production equipment information of each flow node; the equipment control chain is monitored in real time to acquire an equipment monitoring data set; predicting according to the equipment monitoring data set to obtain the fault probability between adjacent production equipment, wherein the fault probability is the probability of abnormal state caused by unmatched operation of the upper production equipment and the lower production equipment; when any fault probability is larger than a preset fault probability, a first positioning instruction is obtained; according to the first positioning instruction, determining abnormal adjacent production equipment, suspending first abnormal equipment in the abnormal adjacent production equipment based on the abnormal adjacent production equipment, and suspending a front operation position of the first abnormal equipment according to the equipment control chain.
In a second aspect, the present application also provides a production management system of an injection production apparatus, wherein the system comprises:
The device information acquisition module is used for acquiring production device information of each process node in the injection production process; the control chain generation module is used for generating an equipment control chain according to the equipment joint relation of the production equipment information of each flow node; the real-time monitoring module is used for monitoring the data of the equipment control chain in real time and acquiring an equipment monitoring data set; the fault prediction module is used for predicting according to the equipment monitoring data set to obtain the fault probability between adjacent production equipment, wherein the fault probability is the probability of abnormal state caused by the mismatch of the operation of the previous production equipment and the next production equipment; the fault probability judging module is used for acquiring a first positioning instruction when any fault probability is larger than a preset fault probability; the abnormality control module is used for determining abnormal adjacent production equipment according to the first positioning instruction, suspending first abnormal equipment in the abnormal adjacent production equipment based on the abnormal adjacent production equipment, and suspending a front operation position of the first abnormal equipment according to the equipment control chain.
One or more technical schemes provided by the application have at least the following technical effects or advantages:
The production equipment information of each process node in the injection production process is obtained; generating an equipment control chain according to the equipment joint relation of the production equipment information of each flow node; the method comprises the steps of monitoring data of a device control chain in real time to obtain a device monitoring data set; predicting according to the equipment monitoring data set, and acquiring fault probability between adjacent production equipment, wherein the fault probability is probability of abnormal state caused by unmatched operation of the previous production equipment and the next production equipment; when any fault probability is larger than a preset fault probability, a first positioning instruction is obtained; according to the first positioning instruction, determining abnormal adjacent production equipment, suspending first abnormal equipment in the abnormal adjacent production equipment based on the abnormal adjacent production equipment, and suspending the front operation position of the first abnormal equipment according to the equipment control chain. Thereby achieving the technical effects of rapid monitoring and management response and improving the production quality of the injection.
The foregoing description is only an overview of the present application, and is intended to more clearly illustrate the technical means of the present application, be implemented according to the content of the specification, and be more apparent in view of the above and other objects, features and advantages of the present application, as follows.
Drawings
Embodiments of the invention and the following brief description are described with reference to the drawings, in which:
FIG. 1 is a flow chart of a method for managing production of an injection production device according to the present application;
FIG. 2 is a schematic flow chart of obtaining failure probability between adjacent production equipments in a production management method of an injection production equipment according to the present application;
Fig. 3 is a schematic structural diagram of a production management system of an injection production device according to the present application.
Reference numerals illustrate: the system comprises an equipment information acquisition module 11, a control chain generation module 12, a real-time monitoring module 13, a fault prediction module 14, a fault probability discrimination module 15 and an abnormality control module 16.
Detailed Description
The application provides a production management method and a production management system for injection production equipment, which solve the technical problems of slow monitoring management response and influence on the injection production quality in the prior art.
In order to solve the above problems, the technical embodiment adopts the following overall concept:
First, production equipment information of each production process node in the injection production process is obtained. The information of the type, model, parameters and the like of the equipment in each stage is included. Next, based on these production facility information, a joint relationship between facilities is constructed, and a facility control chain is generated. The device control chain is then monitored for real-time data to obtain a device monitoring dataset. And further, a device monitoring data set is utilized to conduct prediction analysis, and the fault probability between adjacent production devices is estimated. And when any fault probability exceeds a preset fault probability threshold value, generating a first positioning instruction. And then, determining abnormal adjacent production equipment according to the first positioning instruction. And finally, carrying out pause operation on the first abnormal equipment in the abnormal adjacent production equipment, and pausing the front operation position of the first abnormal equipment according to the equipment control chain to ensure that the whole production flow can be continuously executed without being influenced by the abnormal equipment. Thereby achieving the technical effects of rapid monitoring and management response and improving the production quality of the injection.
In order to better understand the above technical solutions, the following detailed description will be given with reference to the accompanying drawings and specific embodiments, and it should be noted that the described embodiments are only some embodiments of the present application, and not all embodiments of the present application, and it should be understood that the present application is not limited by the exemplary embodiments described herein. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to fall within the scope of the application. It should be further noted that, for convenience of description, only some, but not all of the drawings related to the present application are shown.
Example 1
As shown in fig. 1, the present application provides a production management method of an injection production apparatus, the method comprising:
S100: acquiring production equipment information of each process node in the injection production process;
Optionally, the injection production process comprises a plurality of process nodes including raw material preparation, sterilization, dissolution configuration, cooling, split charging, sealing and the like, and the production equipment of each process node is determined by traversing the data related to the injection generation process and the production line. Such as mixing equipment, sterilization equipment, packaging equipment, etc.
The detailed information of each production device is obtained through the modes of interaction of a production line configuration scheme, a design file, a device manufacturer and the like, and the detailed information comprises information of a manufacturer, a model, a specification, input and output characteristics, a working principle, performance parameters and the like of the device. By acquiring the production equipment information of each process node in the injection production process, the equipment arrangement and equipment characteristics of the target production process are better known.
S200: generating an equipment control chain according to the equipment joint relation of the production equipment information of each flow node;
Optionally, the plant control chain reflects dependencies and flow sequences between production plants. I.e. which devices need to run before or after the other devices. By analyzing production equipment information, the correlation characteristics among the equipment are obtained based on the relative information such as the position of the generation equipment, material flow lines and the like, and the dependency relationship, the control parameters and the control logic among the equipment are integrated into an equipment control chain.
Optionally, the device control chain includes information related to quality control, such as monitoring points, quality check steps, and sampling points. In addition, the device control chain incorporates the control logic of the device, i.e., how the device responds to various conditions and conditions. To configuration and program logic for an automatic control system.
The device at the upstream in the device control chain is a depended device, the immediately downstream device is a depended device, and the running state and running parameters of the depended device influence the shape of the output material, so that the downstream depended device is influenced. The upstream and downstream relation of the equipment is determined by the information such as output characteristics, the position of the equipment in the flow and the like.
S300: the equipment control chain is monitored in real time to acquire an equipment monitoring data set;
Optionally, the device control chain is monitored in real time, and the monitoring is realized based on a monitoring sensor. The monitoring sensor can be a sensor embedded in the equipment or a sensor independently distributed with the equipment. Specifically, the monitoring sensor includes a flow sensor, a light sensor, a turbidity sensor, a luminosity sensor, a temperature sensor, a vibration sensor, a pressure sensor, and the like. The real-time data monitoring is carried out on the equipment control chain, so that the acquisition of the real-time running state of the equipment is realized, and the equipment monitoring data set is obtained.
Optionally, the setting parameters of the monitoring sensor are determined based on the production equipment information, the setting parameters including sensor performance, location, kind, number, etc. The monitoring sensors required for the different production facilities are also different. For example, for a liquid transporting apparatus, a monitoring sensor such as a flow sensor, a pressure sensor, a temperature sensor, or the like is provided.
Optionally, the plurality of monitoring sensors in the equipment control chain are in communication connection with the monitoring center through the monitoring signal network, the plurality of monitoring sensors are provided with corresponding unique identifiers, the unique identifiers are provided with corresponding identifier data tables embedded in the monitoring center, and then the arrangement positions, types and monitoring objects of the monitoring sensors can be determined through the unique identifiers. The identification data table describes the corresponding relation between the unique identification and the layout position, type and monitoring object of the monitoring sensor.
Optionally, the acquired monitoring data set is recorded and archived for use in post hoc analysis, quality control, and the like.
S400: predicting according to the equipment monitoring data set to obtain the fault probability between adjacent production equipment, wherein the fault probability is the probability of abnormal state caused by unmatched operation of the upper production equipment and the lower production equipment;
Further, as shown in fig. 2, the predicting is performed according to the device monitoring data set, so as to obtain the fault probability between the adjacent production devices, and step S400 further includes:
Acquiring a device monitoring dataset, wherein the device monitoring dataset comprises a monitoring dataset based on device joint characteristics;
performing operation matching identification according to the monitoring data set of the equipment joint characteristics to obtain the ampoule transfer rate matching degree and ampoule operation tube number matching degree;
And acquiring a first fault probability according to the ampoule transfer rate matching degree and the ampoule operation tube number matching degree, wherein the first fault probability is a fault probability corresponding to the first production equipment and the second production equipment when any matching degree does not meet the preset matching degree.
Optionally, for ampoule-related process flows, the monitoring dataset includes ampoule transfer rates, ampoule handling tube numbers, and the like. The states of the operating parameters such as ampoule transfer rate, ampoule operation tube number and the like between upstream equipment and downstream equipment in the equipment control chain are required to be matched with each other, so that smooth and reliable operation of the production line is ensured.
The operation matching and identification means that key control parameters of the operation of the upstream and downstream devices in the device control chain are matched and calculated based on the monitoring data, and the matching degree is obtained, and for the ampoule related process flow, the matching degree comprises ampoule transmission rate matching degree and ampoule operation tube number matching degree.
Optionally, if any one of the ampoule transfer rate matching degree and the ampoule operation tube number matching degree does not meet the preset matching degree, the fact that the material transfer between the upstream and downstream devices in the device control chain is not matched is indicated, and faults possibly exist.
Optionally, a first failure probability between the first production equipment and the second production equipment is obtained, and firstly, a failure probability model of the ampoule transfer rate matching degree and the ampoule operation tube number matching degree is obtained based on a linear or nonlinear analysis method according to historical data and equipment characteristics, wherein the model is a mathematical model or a probability model. And then, substituting the ampoule transmission rate matching degree and ampoule operation tube number matching degree between the first production equipment and the second production equipment into the model to obtain the first fault probability.
Further, performing operation matching identification according to the monitoring data set of the equipment joint characteristics, and obtaining the ampoule transfer rate matching degree and the ampoule operation tube number matching degree, wherein the steps further comprise:
Collecting a transfer sample data set of each production device in the device control chain;
establishing a memory database according to the transfer sample data set;
and matching the equipment monitoring data set with the memory database to obtain the matching degree of the ampoule transfer rate and the matching degree of the ampoule operation tube number.
Optionally, the transfer sample data set of each production device is obtained by interacting data sources such as production logs, historical monitoring data sets, etc. of a plurality of production devices. The transfer sample data set represents typical operating conditions of each production device in the device control chain, including a plurality of ampoule transfer rates and ampoule operating tube numbers corresponding to the plurality of time nodes and the plurality of production devices.
Optionally, the matching device monitors the data set and the memory database to obtain the matching degree of the ampoule transfer rate and the matching degree of the ampoule operation tube number. Firstly, selecting any production equipment in an equipment control chain as first production equipment; then, based on the identification information of the first production equipment, acquiring a memory data set corresponding to the first production equipment; then, carrying out data processing and feature extraction on the first production equipment memory data set, including data cleaning, feature engineering or statistical analysis, so as to extract typical values of a plurality of memory ampoule transfer rates and a plurality of memory ampoule operation tube numbers from historical data, wherein the typical values reflect the historical behaviors and performances of the first production equipment; finally, these typical values are compared with the ampoule transfer rate in the monitoring dataset and the ampoule operating tube count to determine the degree of match. If the transfer rate and the operation tube number of the current operation are similar to the typical values, the matching degree is higher, otherwise, the matching degree is lower.
Alternatively, the degree of matching is calculated by the following formula:
Where p is the degree of matching, α is the parameter value in the monitored dataset, and α 0 is a typical value for the parameter value.
And establishing a memory database to verify the accuracy of the current operation through historical operation data, and calculating to obtain the matching degree of the transfer rate of the ampoule and the matching degree of the operation tube number of the ampoule. Helping to ensure the stability and quality of the production process.
Further, collecting a transfer sample data set of each production device in the device control chain, the steps further comprising:
acquiring a transfer delay index corresponding to each device by performing historical transfer delay anomaly identification on the transfer sample data set;
The first fault probability and the second fault probability are subjected to fault probability adjustment according to the transmission delay indexes respectively corresponding to the adjacent production equipment, and the adjusted first fault probability and second fault probability are obtained;
Judging according to the adjusted first fault probability and second fault probability. Determining abnormal adjacent production equipment.
Optionally, a historical transfer delay anomaly identification is performed, first, historical transfer delay data for anomalies is collected from a transfer sample dataset. Then, based on the abnormal historical transfer delay data, a linear or nonlinear relationship between the transfer delay and the failure probability is obtained based on the same linear or nonlinear method described above. And then, according to the transmission delay indexes corresponding to the adjacent production equipment respectively, acquiring the corresponding delay fault probabilities through the linear or nonlinear relation between the transmission delay and the fault probabilities, wherein the delay fault probabilities are the transmission delay indexes corresponding to the equipment respectively. Where the transfer delay refers to the time required from one device to the next.
Optionally, the fault probability adjustment is performed by performing a data fusion process on the transmission delay index corresponding to each device and the first fault probability and the second fault probability. By means of an exemplary weighted summation calculation method, data fusion of a numerical layer is conducted, and adjusted first fault probability and second fault probability are obtained. Wherein the weight of the weighted sum is determined by performing a correlation analysis of the transmission delay index (transmission delay-based failure probability) and the coordination-based failure probability.
And judging and determining which adjacent production equipment is considered abnormal according to the regulated fault probability. For example, if the probability of failure is above a certain threshold, the device is considered abnormal. Abnormal equipment may require further overhaul or maintenance. The abnormal recognition is carried out through the corrected fault probability, so that potential production problems can be found and solved in advance, and the reliability and quality of the production flow are ensured.
S500: when any fault probability is larger than a preset fault probability, a first positioning instruction is obtained;
wherein the first positioning instruction is used for determining abnormal adjacent production equipment.
S600: according to the first positioning instruction, determining abnormal adjacent production equipment, suspending first abnormal equipment in the abnormal adjacent production equipment based on the abnormal adjacent production equipment, and suspending a front operation position of the first abnormal equipment according to the equipment control chain.
Further, according to the first positioning instruction, determining abnormal adjacent production equipment, wherein step S600 includes:
acquiring a first failure probability based on the first production equipment and the second production equipment;
Acquiring a second failure probability based on the second production equipment and the third production equipment, and similarly, acquiring an n-1 failure probability based on the n-1 production equipment and the n production equipment, wherein n is the total number of equipment in the equipment control chain;
judging according to the first fault probability and the second fault probability. Determining the abnormal adjacent production equipment, the abnormal adjacent production equipment is the adjacent production equipment with the largest fault probability value based on n-1 fault probabilities.
Optionally, the first failure probability and the second failure probability are obtained, the n-1 th failure probability is realized based on the same method principle, it should be understood that for brevity of description, no further development is made here.
Further, suspending the front operation position of the first abnormal equipment according to the equipment control chain, wherein the rear operation position of the first abnormal equipment is in a normal operation state; the front-end operation bit comprises a plurality of continuous devices from the device corresponding to the initial operation bit in the device control chain to the device corresponding to the first abnormal device.
Wherein the pre-operation bit refers to all upstream devices of the first abnormal device in the device control chain. By suspending the pre-operative position of the first exception device, more product is prevented from entering the exception device. Preventing abnormal equipment from processing more products and reducing the generation of waste products.
The post-operation position refers to equipment located behind the first abnormal equipment in the equipment control chain, and is the next operation of the production flow. The normal operation of the rear operation position ensures that the processing intermediate product continues to flow to the next operation, thereby reducing the production waste.
Further, in the method, step S600 further includes:
generating an equipment control chain according to the equipment joint relation of the production equipment information of each flow node;
Acquiring a liquid inlet abnormal index by carrying out abnormal identification on a liquid inlet pipeline in the equipment control chain;
when the liquid inlet abnormality index is larger than a preset liquid inlet abnormality index, liquid inlet abnormality production equipment into which liquid in the liquid inlet pipeline flows is obtained;
And suspending the liquid inlet abnormal production equipment, and suspending the front operation position of the liquid inlet abnormal production equipment according to the equipment control chain.
Optionally, carrying out abnormality identification on a liquid inlet pipeline in the equipment control chain to obtain a liquid inlet abnormality index; the identification index parameters comprise feed liquid flow, feed liquid pressure, feed liquid quality (luminosity) and the like. The abnormal liquid inlet index reflects the running state of the liquid inlet pipeline through the identification of monitoring sensors such as a liquid level sensor, a flowmeter, a pressure sensor and the like.
Optionally, the preset abnormal liquid inlet index is obtained through control constraint of an interactive device control chain. Illustratively, the preset fluid intake abnormality index is an index value range. When the liquid inlet abnormality index is in the index value range, no abnormality exists in the liquid inlet pipeline. Otherwise, if the liquid inlet abnormality index is out of the index value range, the liquid inlet pipeline is abnormal, and liquid inlet abnormality production equipment into which liquid in the liquid inlet pipeline flows is obtained.
Optionally, the liquid inlet abnormal production equipment is paused according to the principle that the front operation position of the liquid inlet abnormal production equipment is paused based on the same method that the front operation position of the first abnormal equipment is paused is achieved, and further unfolding description is omitted for the sake of brevity of the description.
In summary, the production management method of the injection production equipment provided by the invention has the following technical effects:
The production equipment information of each process node in the injection production process is obtained; generating an equipment control chain according to the equipment joint relation of the production equipment information of each flow node; the method comprises the steps of monitoring data of a device control chain in real time to obtain a device monitoring data set; predicting according to the equipment monitoring data set, and acquiring fault probability between adjacent production equipment, wherein the fault probability is probability of abnormal state caused by unmatched operation of the previous production equipment and the next production equipment; when any fault probability is larger than a preset fault probability, a first positioning instruction is obtained; according to the first positioning instruction, determining abnormal adjacent production equipment, suspending first abnormal equipment in the abnormal adjacent production equipment based on the abnormal adjacent production equipment, and suspending the front operation position of the first abnormal equipment according to the equipment control chain. Thereby achieving the technical effects of rapid monitoring and management response and improving the production quality of the injection.
Example two
Based on the same conception as the production management method of an injection production apparatus in the embodiment, as shown in fig. 3, the present application also provides a production management system of an injection production apparatus, the system comprising:
The equipment information acquisition module 11 is used for acquiring production equipment information of each process node in the injection production process;
A control chain generating module 12, configured to generate an equipment control chain according to the equipment association relationship of the production equipment information of each process node;
The real-time monitoring module 13 is used for monitoring the data of the equipment control chain in real time to acquire an equipment monitoring data set;
The fault prediction module 14 is configured to predict according to the equipment monitoring data set, and obtain a fault probability between adjacent production equipment, where the fault probability is a probability that the operation of the previous production equipment is not matched with the operation of the next production equipment, so that the state is abnormal;
the fault probability judging module 15 is configured to obtain a first positioning instruction when any fault probability is greater than a preset fault probability;
an anomaly control module 16, configured to determine an anomaly neighboring production device according to the first positioning instruction, suspend a first anomaly device in the anomaly neighboring production device based on the anomaly neighboring production device, and suspend a front operation position of the first anomaly device according to the device control chain.
Further, the failure prediction module 14 further includes:
The monitoring acquisition unit is used for acquiring a device monitoring data set, wherein the device monitoring data set comprises a monitoring data set based on the device joint characteristics;
The matching identification unit is used for carrying out operation matching identification according to the monitoring data set of the equipment joint characteristics to obtain the matching degree of the ampoule transfer rate and the matching degree of the ampoule operation tube number;
And the matching degree judging unit is used for acquiring a first fault probability according to the ampoule transmission rate matching degree and the ampoule operation tube number matching degree, and when any matching degree does not meet the preset matching degree, the first fault probability is the fault probability corresponding to the first production equipment and the second production equipment.
Further, the matching recognition unit further includes:
The sample data acquisition unit is used for acquiring a transmission sample data set of each production device in the device control chain;
the memory bank unit is used for establishing a memory database according to the transmission sample data set;
and the matching degree calculating unit is used for matching the equipment monitoring data set with the memory database to obtain the matching degree of the ampoule transmission rate and the matching degree of the ampoule operation tube number.
Further, the sample data acquisition unit further includes:
The transmission delay identification unit is used for acquiring transmission delay indexes corresponding to all the devices by carrying out historical transmission delay anomaly identification on the transmission sample data set;
The fault probability correction unit is used for carrying out fault probability adjustment on the first fault probability and the second fault probability according to the transmission delay indexes respectively corresponding to the adjacent production equipment, so as to obtain the adjusted first fault probability and second fault probability;
and the abnormality judging unit is used for judging according to the adjusted first fault probability and second fault probability and determining abnormal adjacent production equipment.
Further, the anomaly control module 16 further includes:
the probability extraction unit is used for acquiring a first fault probability based on the first production equipment and the second production equipment;
A traversal acquisition unit configured to acquire a second failure probability based on a second production apparatus and a third production apparatus, and so on, and acquire an n-1 failure probability based on an n-1 production apparatus and an n-1 production apparatus, where n is the total number of apparatuses in the apparatus control chain;
An abnormality screening unit for determining abnormal adjacent production equipment based on the first failure probability, the second failure probability. The abnormal adjacent production equipment is the adjacent production equipment with the largest fault probability value based on n-1 fault probabilities.
Further, the anomaly control module 16 further includes:
the front management unit is used for suspending the front operation position of the first abnormal equipment according to the equipment control chain, and the rear operation position of the first abnormal equipment is in a normal operation state; the front-end operation bit comprises a plurality of continuous devices from the device corresponding to the initial operation bit in the device control chain to the device corresponding to the first abnormal device.
Further, the anomaly control module 16 further includes:
The equipment control chain unit is used for generating an equipment control chain according to the equipment joint relation of the production equipment information of each flow node;
The liquid inlet abnormality identification unit is used for acquiring liquid inlet abnormality indexes by carrying out abnormality identification on liquid inlet pipelines in the equipment control chain;
the positioning unit is used for acquiring liquid inlet abnormal production equipment into which the liquid in the liquid inlet pipeline flows when the liquid inlet abnormal index is larger than a preset liquid inlet abnormal index;
The abnormal liquid inlet control unit is used for suspending the liquid inlet abnormal production equipment and suspending the front operation position of the liquid inlet abnormal production equipment according to the equipment control chain.
It should be understood that the embodiments mentioned in this specification focus on the differences from other embodiments, and the specific embodiment in the first embodiment is equally applicable to the production management system of an injection production apparatus described in the second embodiment, and is not further developed herein for brevity of the specification.
It is to be understood that both the foregoing description and the embodiments of the present application enable one skilled in the art to utilize the present application. While the application is not limited to the embodiments described above, obvious modifications and variations of the embodiments described herein are possible and are within the principles of the application.
Claims (5)
1. A production management method of an injection production apparatus, the method comprising:
acquiring production equipment information of each process node in the injection production process;
generating an equipment control chain according to the equipment joint relation of the production equipment information of each flow node;
the equipment control chain is monitored in real time to acquire an equipment monitoring data set;
Predicting according to the equipment monitoring data set to obtain the fault probability between adjacent production equipment, wherein the fault probability is the probability of abnormal state caused by unmatched operation of the upper production equipment and the lower production equipment;
When any fault probability is larger than a preset fault probability, a first positioning instruction is obtained;
determining abnormal adjacent production equipment according to the first positioning instruction, suspending first abnormal equipment in the abnormal adjacent production equipment based on the abnormal adjacent production equipment, and suspending a front operation position of the first abnormal equipment according to the equipment control chain, wherein the front operation position comprises a plurality of continuous equipment from equipment corresponding to a starting operation position in the equipment control chain to equipment corresponding to the first abnormal equipment;
wherein determining abnormal adjacent production equipment according to the first positioning instruction comprises:
acquiring a first failure probability based on the first production equipment and the second production equipment;
Acquiring a second failure probability based on the second production equipment and the third production equipment, and similarly, acquiring an n-1 failure probability based on the n-1 production equipment and the n production equipment, wherein n is the total number of equipment in the equipment control chain;
Judging according to the first fault probability and the second fault probability. Determining the abnormal adjacent production equipment, the abnormal adjacent production equipment is adjacent production equipment with the largest fault probability value based on n-1 fault probabilities;
Collecting a transfer sample data set of each production device in the device control chain;
establishing a memory database according to the transfer sample data set;
matching the equipment monitoring data set with the memory database to obtain the matching degree of the ampoule transfer rate and the matching degree of the ampoule operation tube number;
After collecting the transfer sample data set of each production device in the device control chain, the method comprises the following steps:
acquiring a transfer delay index corresponding to each device by performing historical transfer delay anomaly identification on the transfer sample data set;
The first fault probability and the second fault probability are subjected to fault probability adjustment according to the transmission delay indexes respectively corresponding to the adjacent production equipment, and the adjusted first fault probability and second fault probability are obtained;
Judging according to the adjusted first fault probability and second fault probability. Determining abnormal adjacent production equipment.
2. The method of claim 1, wherein the predicting is based on the equipment monitoring dataset to obtain a probability of failure between adjacent production equipment, the method comprising:
Acquiring a device monitoring dataset, wherein the device monitoring dataset comprises a monitoring dataset based on device joint characteristics;
performing operation matching identification according to the monitoring data set of the equipment joint characteristics to obtain the ampoule transfer rate matching degree and ampoule operation tube number matching degree;
when the ampoule transfer rate matching degree or the ampoule operation tube number matching degree between the first production equipment and the second production equipment does not meet the preset matching degree, acquiring a first fault probability, wherein the first fault probability is a fault probability corresponding to the first production equipment and the second production equipment.
3. The method of claim 1, wherein a post-operation bit of the first abnormal device is in a normal operation state, wherein the post-operation bit is a device located after the first abnormal device in a device control chain, and is a next operation of a production flow.
4. The method of claim 1, wherein the method further comprises:
generating an equipment control chain according to the equipment joint relation of the production equipment information of each flow node;
Acquiring a liquid inlet abnormal index by carrying out abnormal identification on a liquid inlet pipeline in the equipment control chain;
when the liquid inlet abnormality index is larger than a preset liquid inlet abnormality index, liquid inlet abnormality production equipment into which liquid in the liquid inlet pipeline flows is obtained;
And suspending the liquid inlet abnormal production equipment, and suspending the front operation position of the liquid inlet abnormal production equipment according to the equipment control chain.
5. A production management system for an injection production apparatus, for implementing a production management method of an injection production apparatus according to any one of claims 1 to 4, the system comprising:
the device information acquisition module is used for acquiring production device information of each process node in the injection production process;
The control chain generation module is used for generating an equipment control chain according to the equipment joint relation of the production equipment information of each flow node;
the real-time monitoring module is used for monitoring the data of the equipment control chain in real time and acquiring an equipment monitoring data set;
The fault prediction module is used for predicting according to the equipment monitoring data set to obtain the fault probability between adjacent production equipment, wherein the fault probability is the probability of abnormal state caused by the mismatch of the operation of the previous production equipment and the next production equipment;
The fault probability judging module is used for acquiring a first positioning instruction when any fault probability is larger than a preset fault probability;
the abnormality control module is used for determining abnormal adjacent production equipment according to the first positioning instruction, suspending first abnormal equipment in the abnormal adjacent production equipment based on the abnormal adjacent production equipment, and suspending a front operation position of the first abnormal equipment according to the equipment control chain.
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