CN116893654B - Operation state monitoring system of glucosamine sulfate capsule preparation equipment - Google Patents
Operation state monitoring system of glucosamine sulfate capsule preparation equipment Download PDFInfo
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- CN116893654B CN116893654B CN202310980948.7A CN202310980948A CN116893654B CN 116893654 B CN116893654 B CN 116893654B CN 202310980948 A CN202310980948 A CN 202310980948A CN 116893654 B CN116893654 B CN 116893654B
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 121
- 238000002360 preparation method Methods 0.000 title claims abstract description 33
- MTDHILKWIRSIHB-UHFFFAOYSA-N (5-azaniumyl-3,4,6-trihydroxyoxan-2-yl)methyl sulfate Chemical compound NC1C(O)OC(COS(O)(=O)=O)C(O)C1O MTDHILKWIRSIHB-UHFFFAOYSA-N 0.000 title claims abstract description 29
- 229960002849 glucosamine sulfate Drugs 0.000 title claims abstract description 29
- 239000002775 capsule Substances 0.000 title claims abstract description 24
- 238000012545 processing Methods 0.000 claims abstract description 50
- 238000004088 simulation Methods 0.000 claims abstract description 44
- 238000012423 maintenance Methods 0.000 claims abstract description 36
- 238000007781 pre-processing Methods 0.000 claims abstract description 29
- 238000012216 screening Methods 0.000 claims abstract description 6
- 239000000779 smoke Substances 0.000 claims description 15
- 238000000034 method Methods 0.000 claims description 10
- 206010000369 Accident Diseases 0.000 claims description 7
- 238000001514 detection method Methods 0.000 claims description 7
- 238000004364 calculation method Methods 0.000 claims description 6
- 238000001816 cooling Methods 0.000 claims description 6
- 230000002159 abnormal effect Effects 0.000 claims description 4
- 238000004140 cleaning Methods 0.000 claims description 4
- 238000012937 correction Methods 0.000 claims description 3
- 238000007791 dehumidification Methods 0.000 claims description 3
- 239000007963 capsule composition Substances 0.000 claims 5
- 238000004519 manufacturing process Methods 0.000 description 5
- 239000003814 drug Substances 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 230000007547 defect Effects 0.000 description 2
- 201000008482 osteoarthritis Diseases 0.000 description 2
- KIUKXJAPPMFGSW-DNGZLQJQSA-N (2S,3S,4S,5R,6R)-6-[(2S,3R,4R,5S,6R)-3-Acetamido-2-[(2S,3S,4R,5R,6R)-6-[(2R,3R,4R,5S,6R)-3-acetamido-2,5-dihydroxy-6-(hydroxymethyl)oxan-4-yl]oxy-2-carboxy-4,5-dihydroxyoxan-3-yl]oxy-5-hydroxy-6-(hydroxymethyl)oxan-4-yl]oxy-3,4,5-trihydroxyoxane-2-carboxylic acid Chemical compound CC(=O)N[C@H]1[C@H](O)O[C@H](CO)[C@@H](O)[C@@H]1O[C@H]1[C@H](O)[C@@H](O)[C@H](O[C@H]2[C@@H]([C@@H](O[C@H]3[C@@H]([C@@H](O)[C@H](O)[C@H](O3)C(O)=O)O)[C@H](O)[C@@H](CO)O2)NC(C)=O)[C@@H](C(O)=O)O1 KIUKXJAPPMFGSW-DNGZLQJQSA-N 0.000 description 1
- WQZGKKKJIJFFOK-GASJEMHNSA-N Glucose Natural products OC[C@H]1OC(O)[C@H](O)[C@@H](O)[C@@H]1O WQZGKKKJIJFFOK-GASJEMHNSA-N 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 210000000845 cartilage Anatomy 0.000 description 1
- 210000001612 chondrocyte Anatomy 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 229940079593 drug Drugs 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 239000008103 glucose Substances 0.000 description 1
- 229920002674 hyaluronan Polymers 0.000 description 1
- 229960003160 hyaluronic acid Drugs 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 208000015122 neurodegenerative disease Diseases 0.000 description 1
- 239000002994 raw material Substances 0.000 description 1
- 210000002437 synoviocyte Anatomy 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Classifications
-
- 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], computer integrated manufacturing [CIM]
- G05B19/4183—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], computer integrated manufacturing [CIM] characterised by data acquisition, e.g. workpiece identification
-
- 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
- G05B2219/31—From computer integrated manufacturing till monitoring
- G05B2219/31282—Data acquisition, BDE MDE
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Abstract
The invention discloses an operation state monitoring system of a glucosamine sulfate capsule preparation device, which particularly relates to the field of device operation monitoring, and comprises a device region dividing module, a device operation state acquisition module, a device operation state data preprocessing module, a device operation state monitoring module, a device operation state early warning module, a simulation plan drawing module, a system control center processing module and a system device maintenance module; comparing the data with a corresponding threshold value through the equipment operation state monitoring module, screening out the data exceeding the threshold value, and transmitting the data to the equipment operation state early warning module; early warning and reminding are carried out through an equipment running state early warning module; the probability of future faults of the equipment is estimated through the system equipment maintenance module and is transmitted to the equipment running state early warning module, so that risks that the equipment cannot be known in time due to faults are reduced, and risks of overlong fault time and low preparation efficiency of the glucosamine sulfate capsule preparation are reduced.
Description
Technical Field
The invention relates to the technical field of equipment operation monitoring, in particular to an operation state monitoring system of glucosamine sulfate capsule preparation equipment.
Background
The glucosamine sulfate capsule preparation is a medicament developed for osteoarthritis, is an effective medicament, can be used for a long time safely, and has huge scale in domestic market; osteoarthritis is a joint cartilage degenerative disease with abnormal proteoglycan biosynthesis, and the function of the glucosamine sulfate capsule preparation is to stimulate chondrocytes to synthesize physiological polyamino glucose and proteoglycan and to stimulate synovial cells to synthesize hyaluronic acid.
Most factories use glucosamine sulfate capsule preparation equipment to carry out drug production, and mechanical and manual production modes are adopted, so that the production process is standard, the waste of raw materials in the manual production operation process is reduced, the labor cost is reduced, and the quality of the glucosamine sulfate capsule preparation is ensured through the monitoring of the glucosamine sulfate capsule preparation process.
However, when the device is actually used, more defects still exist, such as the operation state monitoring system of the glucosamine sulfate capsule preparation device is not aimed at, the device cannot be known in time when the device fails, and usually, maintenance personnel are used for timing maintenance of the device to maintain the device, so that the production efficiency is affected, the economic cost is increased, and if a fire accident is not treated in time, the risk of causing a larger accident due to failure in time exists.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention provides an operation state monitoring system of a glucosamine sulfate capsule preparation device, wherein a device operation state monitoring module is used for comparing data with a corresponding threshold value, screening out data exceeding the threshold value and transmitting the data to a device operation state early warning module; early warning and reminding are carried out through an equipment running state early warning module; drawing a simulation plan according to the position of the equipment in the target detection subarea and the environment layout by a simulation plan drawing module; automatically performing processing operation according to the early warning information through a system control center processing module; the system equipment maintenance module evaluates the probability estimated value of the future faults of the glucosamine sulfate capsule preparation equipment according to the running state monitoring data, the equipment information is arranged into a list and transmitted to the equipment running state early warning module, the equipment cannot be known in time due to the faults, and therefore the risks of overlong fault time and low preparation efficiency of the glucosamine sulfate capsule preparation are reduced, and the problems in the background art are solved.
In order to achieve the above purpose, the present invention provides the following technical solutions:
Device region dividing module: the method comprises the steps of marking an area where a glucosamine sulfate capsule preparation device is positioned as a target monitoring area, dividing the target monitoring area into target monitoring subareas according to a dividing mode that the device positions are continuous and the number of the devices is equal, and numbering the target monitoring subareas in the target monitoring area as 1,2 … … n in sequence;
The equipment running state acquisition module: the device comprises a data preprocessing module, a data processing module and a data processing module, wherein the data preprocessing module is used for acquiring data of a target monitoring subarea according to a high-definition camera, a sensor and a monitoring instrument and transmitting the data to the equipment running state data preprocessing module; the system comprises an environment acquisition unit and an equipment state acquisition unit; the environment acquisition unit is used for acquiring environment factors including temperature, humidity, the position of equipment and smoke quantity; the equipment state acquisition unit is used for acquiring equipment operation noise, equipment operation temperature, equipment rotation speed and equipment non-fault operation time;
The equipment running state data preprocessing module is used for: the device is used for receiving the data transmitted by the device running state acquisition module, and transmitting the temperature, the humidity, the smoke quantity, the device running noise, the device running temperature and the device rotating speed, performing data cleaning operation in the equipment non-fault running time, and transmitting data to an equipment running state monitoring module and a system equipment maintenance module;
The equipment running state monitoring module: the device comprises a device running state data preprocessing module, a device running state early warning module and a threshold value processing module, wherein the device running state data preprocessing module is used for receiving data transmitted by the device running state data preprocessing module, comparing the data with the corresponding threshold value, screening out data exceeding the threshold value and transmitting the data to the device running state early warning module;
The equipment running state early warning module: the system comprises a system equipment maintenance module, an equipment running state monitoring module, a simulation plan drawing module, a system control center processing module and a system control center processing module, wherein the system equipment maintenance module is used for receiving data transmitted by the system equipment maintenance module, comparing and analyzing according to a probability estimated value w of faults and a preset probability estimated value threshold value w, and carrying out early warning and reminding according to the screened out data exceeding the threshold value;
simulation plan drawing module: the system comprises a system control center processing module, a simulation plan drawing module, a system control center processing module and a target detection sub-area processing module, wherein the system control center processing module is used for receiving data of an equipment running state acquisition module, drawing the simulation plan according to the position of equipment in the target detection sub-area and the environment layout, and transmitting the data to the system control center processing module;
the system control center processing module: the device comprises a simulation plan drawing module, a device running state early warning module, a simulation plan drawing module, a device running state early warning module and a simulation plan drawing module, wherein the simulation plan drawing module is used for receiving data transmitted by the device running state early warning module;
And a system equipment maintenance module: the device comprises a device running state data preprocessing module, a history monitoring module, a pre-evaluation module, a pre-alarm module and a pre-alarm module.
In a preferred embodiment, the specific division manner of the device area division module is as follows: dividing the target monitoring area into target monitoring subareas according to a dividing mode that the equipment positions are continuous and the equipment numbers are equal, wherein the target monitoring subareas need to be more than three, a plurality of high-definition cameras and sensors are arranged in each target monitoring subarea, and monitoring instruments are arranged at key parts of each equipment.
In a preferred embodiment, the specific collection process of the equipment operation state collection module is as follows: the environment acquisition unit acquires the temperature, the humidity, the equipment position and the smoke amount of the target monitoring subarea in real time according to the high-definition camera; the equipment state acquisition unit acquires equipment operation noise, equipment operation temperature, equipment rotation speed and equipment non-fault operation time of the target monitoring subarea in real time according to the monitoring instrument.
In a preferred embodiment, the specific processing procedure of the equipment operation state monitoring module is as follows: judging and comparing the temperature T with a temperature threshold T Threshold value , and if T is more than or equal to T Threshold value , indicating that the target monitoring subarea environment temperature is marked as a first fault; judging and comparing the humidity S with the humidity S Threshold value , and if S is more than or equal to S Threshold value , indicating that the target monitoring subarea environment humidity is marked as a second fault; judging and comparing the smoke quantity Y and the smoke quantity Y Threshold value , and if Y is more than or equal to Y Threshold value , indicating that a fire accident occurs in the environment of the target monitoring subarea and recording the fire accident as a third fault; judging and comparing the equipment operation noise Z with the equipment operation noise Z Threshold value , and if Z is more than or equal to Z Threshold value , indicating that the equipment vibration of the target monitoring subarea has faults and recording the faults as faults IV; judging and comparing the equipment operating temperature W with the equipment operating temperature W Threshold value , and if W is more than or equal to W Threshold value , indicating that the equipment temperature of the target monitoring subarea is too high and recording the equipment temperature as a fault V; judging and comparing the equipment rotating speed M with the equipment rotating speed M Threshold value , and if M is more than or equal to M Threshold value , indicating that the equipment in the target monitoring subarea has faults and recording the faults as six faults; judging and comparing the equipment non-fault running time t and the equipment non-fault running time t Threshold value , if t is more than or equal to t Threshold value , indicating that the equipment non-fault running time of the target monitoring subarea does not reach the standard, and recording the equipment maintenance or replacement as a fault seven.
In a preferred embodiment, the drawing of the simulation plan is specifically: drawing a two-dimensional real-time simulation plan view by using the position of equipment in a target monitoring sub-area and the layout of the surrounding environment as an equipment running state monitoring main page, and displaying the simulation plan view in red corresponding to the equipment when the early warning information is received and the equipment is found to be abnormal; the pointing device may view device specific properties.
In a preferred embodiment, the specific processing mode of the processing module of the system control center is as follows: marking the data transmitted by the simulation plan drawing module, automatically triggering a one-key sending button to inform corresponding overhauling staff according to a scheduling overhauling schedule, clicking and determining by the overhauling staff, enabling the overhauling staff to reach the corresponding position according to the simulation plan, and triggering a one-key calling button to call the corresponding overhauling staff to overhauling if the overhauling staff does not react; according to the data transmitted by the equipment running state early warning module, automatically opening an air conditioner according to a fault one-system to perform cooling treatment; automatically opening a dehumidifier according to the fault two systems to perform dehumidification operation; automatically triggering an alarm according to the three-system fault, and transmitting the alarm to staff for processing; arranging maintenance personnel to reach a specific position for maintenance according to the fourth and sixth faults; according to the fault five-system arrangement, a worker performs cooling treatment on equipment; and automatically arranging workers to reach a specific position according to the fault seven system for maintenance.
In a preferred embodiment, the specific processing manner of the system equipment maintenance module is as follows:
calculating the running state data of the last week according to the running state monitoring data through the running state pre-estimated value, wherein the calculation formula is as follows: Where r is denoted as an operational state estimate, x i is denoted as a device that is operating normally, y i is denoted as a whole, k (z, s) is denoted as a loss factor, and λ is denoted as an influence factor;
According to the running state estimated value, the historical monitoring data calculates a probability estimated value from the beginning of the operation of the equipment to the occurrence of faults of the current time node, and the calculation formula is as follows:
Where w is denoted as a probability estimate of failure, r is denoted as an operating state estimate, c is denoted as the total plant operating time, h 1,h2,h3,h4 is denoted as plant operating time c-u i, plant operating noise v i, plant operating temperature a i, and a scaling factor of plant rotational speed b i, m i is denoted as the individual plant operating time, p is denoted as a correction factor, and λ is denoted as an influence factor.
The invention has the technical effects and advantages that:
The invention discloses an operation state monitoring system of a glucosamine sulfate capsule preparation device, which is used for acquiring device data and environmental data through a device operation state acquisition module; comparing the equipment data, the environment data and the corresponding threshold value through the equipment running state monitoring module, screening out the data exceeding the threshold value, and transmitting the data to the equipment running state early warning module; early warning and reminding are carried out through an equipment running state early warning module; drawing a simulation plan according to the position of the equipment in the target detection subarea and the environment layout by a simulation plan drawing module; automatically performing processing operation according to the early warning information through a system control center processing module; the system equipment maintenance module evaluates the probability estimated value of the future faults of the glucosamine sulfate capsule preparation equipment according to the running state monitoring data, the equipment information is arranged into a list and transmitted to the equipment running state early warning module, and the equipment cannot be known in time due to the faults, so that the risk of overlong fault time and low preparation efficiency of the glucosamine sulfate capsule preparation is reduced.
Drawings
Fig. 1 is a block diagram showing the overall structure of the present invention.
Detailed Description
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.
The invention provides an operation state monitoring system of a glucosamine sulfate capsule preparation device, which is shown in figure 1, and comprises a device region dividing module, a device operation state acquisition module, a device operation state data preprocessing module, a device operation state monitoring module, a device operation state early warning module, a simulation plan drawing module, a system control center processing module and a system device maintenance module; the device region dividing module is connected with the device running state acquisition module, the device running state acquisition module is connected with the device running state data preprocessing module, the device running state acquisition module is connected with the simulation plan drawing module, the device running state data preprocessing module is connected with the device running state monitoring module, the device running state data preprocessing module is connected with the system device maintenance module, the device running state monitoring module is connected with the device running state early warning module, the system device maintenance module is connected with the device running state early warning module, the device running state early warning module is connected with the simulation plan drawing module, the device running state early warning module is connected with the system control center processing module, and the simulation plan drawing module is connected with the system control center processing module.
The equipment region dividing module is used for marking the region where the glucosamine sulfate capsule preparation equipment is positioned as a target monitoring region, dividing the target monitoring region into target monitoring subareas according to a dividing mode that the equipment positions are continuous and the equipment quantity is equal, and numbering each target monitoring subarea in the target monitoring region as 1,2 … … n in sequence;
The embodiment needs to specifically explain that the specific division manner of the device area division module is as follows: dividing a target monitoring area into target monitoring subareas according to a dividing mode that the positions of the devices are continuous and the number of the devices is equal, wherein the target monitoring subareas need to be more than three, a plurality of high-definition cameras and sensors are arranged in each target monitoring subarea, and monitoring instruments are arranged at key parts of each device;
The equipment running state acquisition module is used for acquiring data of a target monitoring subarea according to the high-definition camera, the sensor and the monitoring instrument and transmitting the data to the equipment running state data preprocessing module; the system comprises an environment acquisition unit and an equipment state acquisition unit; the environment acquisition unit is used for acquiring environment factors including temperature, humidity, the position of equipment and smoke quantity; the equipment state acquisition unit is used for acquiring equipment operation noise, equipment operation temperature, equipment rotation speed and equipment non-fault operation time;
The embodiment needs to specifically explain that the specific collection process of the equipment operation state collection module is as follows: the environment acquisition unit acquires the temperature, the humidity, the equipment position and the smoke amount of the target monitoring subarea in real time according to the high-definition camera; the equipment state acquisition unit acquires equipment operation noise, equipment operation temperature, equipment rotation speed and equipment non-fault operation time of the target monitoring subarea in real time according to the monitoring instrument;
The equipment operation state data preprocessing module is used for receiving the data transmitted by the equipment operation state acquisition module, performing data cleaning operation on the temperature, the humidity, the smoke quantity, the equipment operation noise, the equipment operation temperature, the equipment rotation speed and the equipment non-fault operation time, and transmitting the data to the equipment operation state monitoring module and the system equipment maintenance module;
the embodiment needs to specifically explain that the data cleaning operation of the equipment running state data preprocessing module belongs to the field of data preprocessing and belongs to the prior art means, so the embodiment does not make specific explanation;
the equipment operation state monitoring module is used for receiving the data transmitted by the equipment operation state data preprocessing module, comparing the data with a corresponding threshold value, screening out the data exceeding the threshold value, and transmitting the data to the equipment operation state early warning module; wherein the threshold is specifically set according to specific conditions, and the embodiment does not specifically limit specific data;
the embodiment needs to specifically explain that the specific processing procedure of the equipment operation state monitoring module is as follows: judging and comparing the temperature T with a temperature threshold T Threshold value , and if T is more than or equal to T Threshold value , indicating that the target monitoring subarea environment temperature is marked as a first fault; judging and comparing the humidity S with the humidity S Threshold value , and if S is more than or equal to S Threshold value , indicating that the target monitoring subarea environment humidity is marked as a second fault; judging and comparing the smoke quantity Y and the smoke quantity Y Threshold value , and if Y is more than or equal to Y Threshold value , indicating that a fire accident occurs in the environment of the target monitoring subarea and recording the fire accident as a third fault; judging and comparing the equipment operation noise Z with the equipment operation noise Z Threshold value , and if Z is more than or equal to Z Threshold value , indicating that the equipment vibration of the target monitoring subarea has faults and recording the faults as faults IV; judging and comparing the equipment operating temperature W with the equipment operating temperature W Threshold value , and if W is more than or equal to W Threshold value , indicating that the equipment temperature of the target monitoring subarea is too high and recording the equipment temperature as a fault V; judging and comparing the equipment rotating speed M with the equipment rotating speed M Threshold value , and if M is more than or equal to M Threshold value , indicating that the equipment in the target monitoring subarea has faults and recording the faults as six faults; judging and comparing the equipment non-fault running time t and the equipment non-fault running time t Threshold value , if t is more than or equal to t Threshold value , indicating that the target monitoring subarea equipment non-fault running time does not reach the standard, and recording equipment maintenance or replacement as a fault seven;
The equipment running state early warning module is used for receiving the data transmitted by the system equipment maintenance module, carrying out comparison analysis according to the probability estimated value w of the occurrence of faults and the preset probability estimated value threshold value w, carrying out early warning reminding according to the screened out data exceeding the threshold value, and transmitting early warning information to the simulation plan drawing module and the system control center processing module;
the embodiment needs to specifically explain that the specific processing procedure of the equipment running state early warning module is as follows:
Firstly, receiving data transmitted by a system equipment maintenance module, and comparing and analyzing a probability estimated value w of faults with a preset probability estimated value threshold value w Threshold value ; if w is more than or equal to w Threshold value , indicating that the probability of occurrence of faults is high, and entering a step two; if w < w Threshold value , the probability of occurrence of faults is small, and the step III is entered; the probability estimated value threshold can be specifically set according to the history probability estimated value, and specific data is not specifically limited in the embodiment;
Step two, the system enters an emergency protection defending state, personnel inspection is carried out, personnel response is arranged, and preparation work for preventing faults is carried out in advance;
Step three, the system performs routine monitoring, and data transmitted by the equipment running state monitoring module are recorded as early warning information and transmitted to the system control center processing module; the early warning information transmission process belongs to the traditional information transmission process and belongs to the prior art means, so the embodiment does not make a specific description;
The simulation plan drawing module is used for receiving the data of the equipment running state acquisition module, drawing a simulation plan according to the position of the equipment in the target detection subarea and the environment layout, and transmitting the data to the system control center processing module;
the embodiment needs to specifically explain that the drawing of the simulation plan is specifically: drawing a two-dimensional real-time simulation plan view by using the position of equipment in a target monitoring sub-area and the layout of the surrounding environment as an equipment running state monitoring main page, and displaying the simulation plan view in red corresponding to the equipment when the early warning information is received and the equipment is found to be abnormal; the pointing device may view device specific properties;
The system control center processing module is used for receiving the simulation plan drawing module and the data transmitted by the equipment running state early warning module, and automatically carrying out corresponding processing operation according to the early warning information;
The embodiment needs to specifically explain that the specific processing mode of the processing module of the system control center is as follows: marking the data transmitted by the simulation plan drawing module, automatically triggering a one-key sending button to inform corresponding overhauling staff according to a scheduling overhauling schedule, clicking and determining by the overhauling staff, enabling the overhauling staff to reach the corresponding position according to the simulation plan, and triggering a one-key calling button to call the corresponding overhauling staff to overhauling if the overhauling staff does not react; according to the data transmitted by the equipment running state early warning module, automatically opening an air conditioner according to a fault one-system to perform cooling treatment; automatically opening a dehumidifier according to the fault two systems to perform dehumidification operation; automatically triggering an alarm according to the three-system fault, and transmitting the alarm to staff for processing; arranging maintenance personnel to reach a specific position for maintenance according to the fourth and sixth faults; according to the fault five-system arrangement, a worker performs cooling treatment on equipment; automatically arranging workers to reach specific positions according to the fault seven system for maintenance;
The system equipment maintenance module is used for receiving the data transmitted by the equipment operation state data preprocessing module, evaluating the probability estimated value of the future failure of the glucosamine sulfate capsule preparation equipment according to the operation state monitoring data, and sorting the equipment information into a list and transmitting the list to the equipment operation state early warning module;
The embodiment needs to specifically explain that the specific processing manner of the system equipment maintenance module is as follows:
calculating the running state data of the last week according to the running state monitoring data through the running state pre-estimated value, wherein the calculation formula is as follows: Where r is denoted as the operating state estimate, x i is denoted as the device operating normally, y i is denoted as the whole device, k (z, s) is denoted as the loss factor, λ is denoted as the influencing factor, e.g. λ comprises the newly added device in the last week;
According to the running state estimated value, the historical monitoring data calculates a probability estimated value from the beginning of the operation of the equipment to the occurrence of faults of the current time node, and the calculation formula is as follows:
Wherein w is represented as a probability predicted value of occurrence of failure, r is represented as an operation state predicted value, c is represented as total equipment operation all time, h 1,h2,h3,h4 is represented as equipment operation failure time c-u i, equipment operation noise v i, equipment operation temperature a i, scaling factor of equipment rotation speed b i, such as h1=0.4, h2=0.1, h3=0.3, h4=0.2, m i is represented as single equipment operation all time, p is represented as correction factor, p is constant, and is set in comparison according to values marked by maintenance personnel certifying equipment and equipment factory, and λ is represented as influence factor, such as λ including continuous operation time of equipment;
Finally: the foregoing description of the preferred embodiments of the invention is not intended to limit the invention to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and principles of the invention are intended to be included within the scope of the invention.
Claims (6)
1. The utility model provides a glucosamine sulfate capsule preparation equipment running state monitored control system which characterized in that: comprising the following steps:
Device region dividing module: the method comprises the steps of marking an area where a glucosamine sulfate capsule preparation device is positioned as a target monitoring area, dividing the target monitoring area into target monitoring subareas according to a dividing mode that the device positions are continuous and the number of the devices is equal, and numbering the target monitoring subareas in the target monitoring area as 1,2 … … n in sequence;
The equipment running state acquisition module: the device comprises a data preprocessing module, a data processing module and a data processing module, wherein the data preprocessing module is used for acquiring data of a target monitoring subarea according to a high-definition camera, a sensor and a monitoring instrument and transmitting the data to the equipment running state data preprocessing module; the system comprises an environment acquisition unit and an equipment state acquisition unit; the environment acquisition unit is used for acquiring environment factors including temperature, humidity, the position of equipment and smoke quantity; the equipment state acquisition unit is used for acquiring equipment operation noise, equipment operation temperature, equipment rotation speed and equipment non-fault operation time;
The equipment running state data preprocessing module is used for: the device is used for receiving the data transmitted by the device running state acquisition module, and transmitting the temperature, the humidity, the smoke quantity, the device running noise, the device running temperature and the device rotating speed, performing data cleaning operation in the equipment non-fault running time, and transmitting data to an equipment running state monitoring module and a system equipment maintenance module;
The equipment running state monitoring module: the device comprises a device running state data preprocessing module, a device running state early warning module and a threshold value processing module, wherein the device running state data preprocessing module is used for receiving data transmitted by the device running state data preprocessing module, comparing the data with the corresponding threshold value, screening out data exceeding the threshold value and transmitting the data to the device running state early warning module;
The equipment running state early warning module: is used for receiving the data transmitted by the equipment running state monitoring module, carrying out early warning reminding according to the data which is screened out to exceed the threshold value, transmitting early warning information to a simulation plan drawing module and a system control center processing module;
simulation plan drawing module: the system comprises a system control center processing module, a simulation plan drawing module, a system control center processing module and a target detection sub-area processing module, wherein the system control center processing module is used for receiving data of an equipment running state acquisition module, drawing the simulation plan according to the position of equipment in the target detection sub-area and the environment layout, and transmitting the data to the system control center processing module;
the system control center processing module: the device comprises a simulation plan drawing module, a device running state early warning module, a simulation plan drawing module, a device running state early warning module and a simulation plan drawing module, wherein the simulation plan drawing module is used for receiving data transmitted by the device running state early warning module;
and a system equipment maintenance module: the device comprises a device running state data preprocessing module, a device running state early warning module, a history monitoring module, a monitoring module and a storage module, wherein the device running state data preprocessing module is used for receiving data transmitted by the device running state data preprocessing module, evaluating a probability estimated value of future faults of the glucosamine sulfate capsule preparation device according to the running state monitoring data, and sorting device information into a list and transmitting the list to the device running state early warning module;
the specific processing mode of the system equipment maintenance module is as follows:
calculating the running state data of the last week according to the running state monitoring data through the running state pre-estimated value, wherein the calculation formula is as follows: Where r is denoted as an operational state estimate, x i is denoted as a device that is operating normally, y i is denoted as a whole, k (z, s) is denoted as a loss factor, and λ is denoted as an influence factor;
According to the running state estimated value, the historical monitoring data calculates a probability estimated value from the beginning of the operation of the equipment to the occurrence of faults of the current time node, and the calculation formula is as follows:
Where w is denoted as a probability estimate of failure, r is denoted as an operating state estimate, c is denoted as the total device operating time, h1 is denoted as a scaling factor for the device operating time c-ui, h2 is denoted as a scaling factor for the device operating noise vi, h3 is denoted as a scaling factor for the device operating temperature ai, h4 is denoted as a scaling factor for the device rotational speed bi, m i is denoted as the individual device operating time, p is denoted as a correction factor, and λ is denoted as an impact factor.
2. The glucosamine sulfate capsule formulation preparation apparatus operating state monitoring system of claim 1, wherein: the specific division mode of the equipment area division module is as follows: dividing the target monitoring area into target monitoring subareas according to a dividing mode that the equipment positions are continuous and the equipment numbers are equal, wherein the target monitoring subareas need to be more than three, a plurality of high-definition cameras and sensors are arranged in each target monitoring subarea, and monitoring instruments are arranged at key parts of each equipment.
3. The glucosamine sulfate capsule formulation preparation apparatus operating state monitoring system of claim 1, wherein: the specific acquisition process of the equipment running state acquisition module is as follows: the environment acquisition unit acquires the temperature, the humidity, the equipment position and the smoke amount of the target monitoring subarea in real time according to the high-definition camera; the equipment state acquisition unit acquires equipment operation noise, equipment operation temperature, equipment rotation speed and equipment non-fault operation time of the target monitoring subarea in real time according to the monitoring instrument.
4. The glucosamine sulfate capsule formulation preparation apparatus operating state monitoring system of claim 1, wherein: the specific processing procedure of the equipment running state monitoring module is as follows: judging and comparing the temperature T with a temperature threshold T Threshold value , and if T is more than or equal to T Threshold value , indicating that the target monitoring subarea environment temperature is marked as a first fault; judging and comparing the humidity S with the humidity S Threshold value , and if S is more than or equal to S Threshold value , indicating that the target monitoring subarea environment humidity is marked as a second fault; judging and comparing the smoke quantity Y and the smoke quantity Y Threshold value , and if Y is more than or equal to Y Threshold value , indicating that a fire accident occurs in the environment of the target monitoring subarea and recording the fire accident as a third fault; judging and comparing the equipment operation noise Z with the equipment operation noise Z Threshold value , and if Z is more than or equal to Z Threshold value , indicating that the equipment vibration of the target monitoring subarea has faults and recording the faults as faults IV; judging and comparing the equipment operating temperature W with the equipment operating temperature W Threshold value , and if W is more than or equal to W Threshold value , indicating that the equipment temperature of the target monitoring subarea is too high and recording the equipment temperature as a fault V; judging and comparing the equipment rotating speed M with the equipment rotating speed M Threshold value , and if M is more than or equal to M Threshold value , indicating that the equipment in the target monitoring subarea has faults and recording the faults as six faults; judging and comparing the equipment non-fault running time t and the equipment non-fault running time t Threshold value , if t is more than or equal to t Threshold value , indicating that the equipment non-fault running time of the target monitoring subarea does not reach the standard, and recording the equipment maintenance or replacement as a fault seven.
5. The glucosamine sulfate capsule formulation preparation apparatus operating state monitoring system of claim 1, wherein: the drawing of the simulation plan is specifically as follows: drawing a two-dimensional real-time simulation plan view by using the position of equipment in a target monitoring sub-area and the layout of the surrounding environment as an equipment running state monitoring main page, and displaying the simulation plan view in red corresponding to the equipment when the early warning information is received and the equipment is found to be abnormal; the pointing device may view device specific properties.
6. The glucosamine sulfate capsule formulation preparation apparatus operating state monitoring system of claim 1, wherein: the specific processing mode of the system control center processing module is as follows: marking the data transmitted by the simulation plan drawing module, automatically triggering a one-key sending button to inform corresponding overhauling staff according to a scheduling overhauling schedule, clicking and determining by the overhauling staff, enabling the overhauling staff to reach the corresponding position according to the simulation plan, and triggering a one-key calling button to call the corresponding overhauling staff to overhauling if the overhauling staff does not react; according to the data transmitted by the equipment running state early warning module, automatically opening an air conditioner according to a fault one-system to perform cooling treatment; automatically opening a dehumidifier according to the fault two systems to perform dehumidification operation; automatically triggering an alarm according to the three-system fault, and transmitting the alarm to staff for processing; arranging maintenance personnel to reach a specific position for maintenance according to the fourth and sixth faults; according to the fault five-system arrangement, a worker performs cooling treatment on equipment; and automatically arranging workers to reach a specific position according to the fault seven system for maintenance.
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN203466628U (en) * | 2013-09-04 | 2014-03-05 | 上海华宿电气股份有限公司 | Intelligent electric power monitoring system having three-dimensional view |
| CN108646697A (en) * | 2018-07-17 | 2018-10-12 | 河南聚合科技有限公司 | A kind of equipment fault remote diagnosis cloud platform |
| CN208538128U (en) * | 2018-08-16 | 2019-02-22 | 黄东生 | A kind of novel building design management equipment based on BIM and VR |
| KR20200027094A (en) * | 2018-08-31 | 2020-03-12 | 주식회사 네오피크 | Monitoring and alarm system and method of food safety hazard inspection equipment based on iot sensor |
| CN114356165A (en) * | 2022-01-11 | 2022-04-15 | 瀚云科技有限公司 | Monitoring area determining method and device of monitoring equipment and electronic equipment |
| CN115576289A (en) * | 2022-10-28 | 2023-01-06 | 江苏金陵科技集团有限公司 | Reconfigurable high-fidelity large-scale industrial internet simulation platform based on virtualization technology |
| CN116307346A (en) * | 2023-05-22 | 2023-06-23 | 山东力乐新材料有限公司 | Operation and maintenance management system and method for mechanical equipment |
-
2023
- 2023-08-04 CN CN202310980948.7A patent/CN116893654B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN203466628U (en) * | 2013-09-04 | 2014-03-05 | 上海华宿电气股份有限公司 | Intelligent electric power monitoring system having three-dimensional view |
| CN108646697A (en) * | 2018-07-17 | 2018-10-12 | 河南聚合科技有限公司 | A kind of equipment fault remote diagnosis cloud platform |
| CN208538128U (en) * | 2018-08-16 | 2019-02-22 | 黄东生 | A kind of novel building design management equipment based on BIM and VR |
| KR20200027094A (en) * | 2018-08-31 | 2020-03-12 | 주식회사 네오피크 | Monitoring and alarm system and method of food safety hazard inspection equipment based on iot sensor |
| CN114356165A (en) * | 2022-01-11 | 2022-04-15 | 瀚云科技有限公司 | Monitoring area determining method and device of monitoring equipment and electronic equipment |
| CN115576289A (en) * | 2022-10-28 | 2023-01-06 | 江苏金陵科技集团有限公司 | Reconfigurable high-fidelity large-scale industrial internet simulation platform based on virtualization technology |
| CN116307346A (en) * | 2023-05-22 | 2023-06-23 | 山东力乐新材料有限公司 | Operation and maintenance management system and method for mechanical equipment |
Non-Patent Citations (1)
| Title |
|---|
| 流程工业综合自动化中的理论与技术问题;熊刚, 许晓鸣, 张钟俊, 邵惠鹤;信息与控制;19961023(05);第32-39页 * |
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