CN114167822A - Vacuum process control method and device, terminal equipment and storage medium - Google Patents
Vacuum process control method and device, terminal equipment and storage medium Download PDFInfo
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- CN114167822A CN114167822A CN202111304849.4A CN202111304849A CN114167822A CN 114167822 A CN114167822 A CN 114167822A CN 202111304849 A CN202111304849 A CN 202111304849A CN 114167822 A CN114167822 A CN 114167822A
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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], computer integrated manufacturing [CIM]
- G05B19/41875—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM] characterised by quality surveillance of production
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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
- G05B2219/32368—Quality control
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Abstract
The invention discloses a vacuum process control method, a device, terminal equipment and a storage medium, wherein the method comprises the following steps: establishing a finite element simulation model according to the geometric dimension of the interior of the vacuum box and the geometric dimension of the capacitor unit; setting a condition boundary related to a finite element simulation model according to the position of an air pressure sensor arranged at each oil filling port in the vacuum box and the positions of an air pressure sensor and an air speed sensor arranged at an air outlet of the vacuum box; acquiring sensor data acquired by all the air pressure sensors and the air speed sensors; setting parameters of each condition boundary according to sensor data; carrying out simulation calculation according to the finite element simulation model and the condition boundary to obtain a simulation result; the simulation results include the air pressure and water content inside each capacitor unit; and evaluating the vacuum degree in each capacitor unit according to the simulation result, and judging whether the vacuumizing reaches the standard according to the evaluation result. The method can realize the evaluation of the vacuum degree of the capacitor unit and improve the consistency of vacuum treatment.
Description
Technical Field
The invention relates to the technical field of production processes, in particular to a vacuum process control method, a vacuum process control device, terminal equipment and a storage medium.
Background
The high-voltage oil-immersed capacitor is a main reactive compensation device in a power system, and the performance and the service life of the high-voltage oil-immersed capacitor are of great significance to the economic and safe operation of a power grid. In the production process of the capacitor, the vacuum impregnation link is an important process which influences the loss, partial discharge and service life of the capacitor. At present, the following two vacuum processes are generally adopted, one is single-vacuumizing and single-injecting, namely, each capacitor unit is independently vacuumized and impregnated with impregnant; secondly, a plurality of capacitors are simultaneously vacuumized and simultaneously impregnated with impregnant. The second process is simple in vacuumizing and low in cost, is suitable for mass production, and is widely applied.
When a plurality of capacitors are simultaneously vacuumized, a product is usually placed in a larger vacuum box, and then the vacuum pump is started to gradually reduce the air pressure in the vacuum box. When the vacuum degree reaches the requirement, after a period of time, the air and moisture in the capacitor unit are sufficiently removed, and the impregnant is injected. However, since the capacitor units are distributed at different positions in the vacuum chamber, the gas pressure near the capacitor units and the molecular flow rate at high vacuum degree are different during the vacuum pumping process, so that the vacuum degree inside each capacitor unit is different within the same time. For example, the vacuum degree in the capacitor unit far away from the air outlet of the vacuum pump is lower than that in the capacitor unit close to the air outlet of the vacuum pump in the same time. In addition, the partial discharge level, loss, service life and the like of the capacitor unit have great relation with vacuum treatment, and the product quality is seriously influenced by insufficient vacuum treatment.
In conclusion, the existing vacuum process method is difficult to evaluate the internal vacuum degree of the capacitor unit, and the consistency and reliability of the capacitor product cannot be ensured.
Disclosure of Invention
The embodiment of the invention provides a vacuum process control method, a vacuum process control device, terminal equipment and a storage medium, so that the vacuum degree of a capacitor unit is evaluated, and the consistency of vacuum treatment is improved.
In a first aspect, to solve the above technical problem, an embodiment of the present invention provides a vacuum process control method, including:
establishing a finite element simulation model according to the geometric dimension of the interior of the vacuum box and the geometric dimension of the capacitor unit;
setting a condition boundary related to the finite element simulation model according to the position of an air pressure sensor arranged at each oil filling port in the vacuum box and the positions of an air pressure sensor and an air speed sensor arranged at an air outlet of the vacuum box;
acquiring sensor data acquired by all the air pressure sensors and the air speed sensors;
setting parameters of each condition boundary according to the sensor data;
carrying out simulation calculation according to the finite element simulation model and the condition boundary to obtain a simulation result; wherein the simulation result comprises the air pressure and water content inside each capacitor unit;
and evaluating the vacuum degree in each capacitor unit according to the simulation result, and judging whether the vacuumizing reaches the standard or not according to the evaluation result.
Preferably, the evaluating the vacuum degree inside each capacitor unit according to the simulation result, and determining whether the vacuum degree reaches the standard according to the evaluation result includes:
when the air pressure inside each capacitor unit is less than 10pa and the water content is less than 10ppm, the evacuation stage is judged to be up to standard.
Preferably, the method further comprises:
after a preset time interval, acquiring sensor data acquired by all the air pressure sensors and the air speed sensors again to update the sensor data;
and setting parameters of each condition boundary according to the updated sensor data, and performing simulation calculation again.
Preferably, the time interval is from 5 seconds to 5 minutes.
Preferably, the distance between the nodes of the finite element simulation model mesh is not greater than 1/5, which is the minimum size of the capacitor element.
Preferably, the finite element simulation model includes a fluid model, a thermodynamic model, and a molecular flow model.
In a second aspect, the present invention provides a vacuum process control apparatus comprising:
the model establishing module is used for establishing a finite element simulation model according to the geometric dimension of the interior of the vacuum box and the geometric dimension of the capacitor unit;
the condition boundary setting module is used for setting condition boundaries related to the finite element simulation model according to the positions of an air pressure sensor arranged at each oil filling port in the vacuum box, an air pressure sensor arranged at an air outlet of the vacuum box and an air speed sensor;
the data acquisition module is used for acquiring sensor data acquired by all the air pressure sensors and the wind speed sensors;
the parameter setting module is used for setting the parameters of each condition boundary according to the sensor data;
the simulation calculation module is used for carrying out simulation calculation according to the finite element simulation model and the condition boundary to obtain a simulation result; wherein the simulation result comprises the air pressure and water content inside each capacitor unit;
and the evaluation module is used for evaluating the vacuum degree in each capacitor unit according to the simulation result and judging whether the vacuumizing reaches the standard or not according to the evaluation result.
Preferably, the apparatus further comprises:
the data updating module is used for acquiring sensor data acquired by all the air pressure sensors and the wind speed sensors again after a preset time interval so as to update the sensor data;
and the parameter updating module is used for setting the parameters of each condition boundary according to the updated sensor data and carrying out simulation calculation again.
In a third aspect, the present invention also provides a terminal device, which includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and when the processor executes the computer program, the vacuum process control method described in any one of the above is implemented.
In a fourth aspect, the present invention further provides a computer-readable storage medium, which includes a stored computer program, wherein when the computer program runs, the apparatus on which the computer-readable storage medium is located is controlled to execute the vacuum process control method described in any one of the above.
Compared with the prior art, the embodiment of the invention has the following beneficial effects:
according to the invention, the calculation of the vacuum treatment process in the capacitor unit is realized through the real-time interaction of the finite element simulation model and the sensor data, and the simulation calculation result is obtained, so that the evaluation of the vacuum degree of the capacitor unit is realized. The invention can improve the vacuum effect of the capacitor unit, simultaneously improve the consistency of vacuum treatment, reduce the vacuum treatment time, improve the production efficiency and the product quality and reduce the production cost.
Drawings
FIG. 1 is a schematic flow chart of a vacuum process control method according to a first embodiment of the present invention;
FIG. 2 is a schematic view of multiple capacitors simultaneously evacuated;
fig. 3 is a schematic structural diagram of a vacuum process control apparatus according to a second embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a first embodiment of the present invention provides a vacuum process control method, including the steps of:
s11, establishing a finite element simulation model according to the geometric dimension of the interior of the vacuum box and the geometric dimension of the capacitor unit;
s12, setting a condition boundary related to the finite element simulation model according to the position of an air pressure sensor arranged at each oil filling port in the vacuum box, the position of an air pressure sensor arranged at an air outlet of the vacuum box and the position of an air speed sensor;
s13, acquiring sensor data acquired by all the air pressure sensors and the air speed sensors;
s14, setting parameters of each condition boundary according to the sensor data;
s15, carrying out simulation calculation according to the finite element simulation model and the condition boundary to obtain a simulation result; wherein the simulation result comprises the air pressure and water content inside each capacitor unit;
and S16, evaluating the vacuum degree in each capacitor unit according to the simulation result, and judging whether the vacuum degree reaches the standard according to the evaluation result.
It should be noted that, referring to fig. 2, during vacuum pumping, the oil injection port in the vacuum tube faces the oil injection hole of the capacitor, and the position of the oil injection port is fixed for the convenience of arranging the oil injection pipe. In particular implementations, it may be desirable to place an air pressure sensor near each of the oil fill ports in the vacuum reservoir. In addition, an air pressure gauge and an air velocity sensor are required to be arranged at the air outlet of the vacuum box, so that the vacuum control method provided by the embodiment is completed.
In step S11, a finite element simulation model is created according to the geometry inside the vacuum box and the geometry of the capacitor element. Specifically, a finite element simulation model is established according to the geometric shapes of the space, the pipeline and the capacitor unit in the vacuum box in practical application.
Preferably, the distance between the nodes of the finite element simulation model mesh is not greater than 1/5, which is the minimum size of the capacitor element. When the finite element model is subjected to grid splitting, the calculation precision is seriously influenced by overlarge distance between grid nodes, and the grid node distance is set to be not more than 1/5 which is the minimum size of the capacitor unit, so that the precision of simulation calculation can be basically ensured to meet the requirement.
Further, the finite element simulation model comprises a fluid model, a thermodynamic model and a molecular flow model, and the real-time air pressure, the molecular flow and the moisture content in each capacitor unit can be calculated.
In step S12, conditional boundaries regarding the finite element simulation model are set based on the air pressure sensor position disposed at each of the oil filling ports in the vacuum box, the air pressure sensor disposed at the air outlet of the vacuum box, and the air velocity sensor position. Specifically, the condition boundaries of simulation calculation are set at key nodes of all sensor positions, and the condition boundaries comprise air pressure and temperature. In the specific implementation, the corresponding air pressure sensor and the corresponding wind speed sensor can be selected according to the actual precision requirement, which is not limited in the present invention.
In steps S13 and S14, sensor data collected by all the air pressure sensors and the wind speed sensors are acquired, and parameters of each of the conditional boundaries are set according to the sensor data.
In step S15, a simulation calculation is performed according to the finite element simulation model and the conditional boundary, so as to obtain a simulation result. Wherein the simulation result includes the air pressure and water content inside each capacitor unit. Through finite element simulation and real-time interaction of sensor data, the calculation of the vacuum treatment process in the capacitor is realized, so that the vacuum effect of the capacitor unit is improved, the blind extension of the vacuum time is avoided, and the production cost is reduced.
In step S16, the vacuum degree inside each capacitor unit is evaluated according to the simulation result, and it is determined whether the vacuum degree reaches the standard according to the evaluation result.
Illustratively, the evacuation phase is judged to be up when the gas pressure inside each capacitor cell is less than 10pa and the water content is less than 10 ppm. It should be noted that the specific vacuum-pumping standard-reaching condition is set according to the actual application, and the vacuum-pumping standard of each production process may be different, which is not limited in the present invention.
In a preferred implementation, the method further comprises:
after a preset time interval, acquiring sensor data acquired by all the air pressure sensors and the air speed sensors again to update the sensor data;
and setting parameters of each condition boundary according to the updated sensor data, and performing simulation calculation again.
In a specific implementation, the actual measurement data may be uploaded to the simulation program in real time to correct the boundary of the simulation condition. Meanwhile, the pressure, the molecular flow, the moisture content and the like in the capacitor units are calculated in real time, so that the change of the vacuum degrees in different capacitor units along with time can be obtained, and the vacuum treatment results of all capacitors can be monitored in real time in a quantitative mode.
Illustratively, the time interval is from 5 seconds to 5 minutes. In the initial stage of the vacuum process, the air pressure changes rapidly, and a classical thermodynamic model can be selected as the finite element simulation model. When a classical thermodynamic model is used for calculation, a short time interval is required to ensure that the calculation is synchronized with the actual situation. When the vacuum degree is gradually stabilized, the air pressure in the vacuum box is extremely low, the air and the moisture are mainly reflected in the form of molecular flow, the change is slow, a more precise molecular flow calculation model and a longer time interval can be adopted, and the calculation precision is favorably improved.
The existing process flow can not monitor the air pressure distribution in the vacuum box, so that the vacuum process is not finely controlled, the product has high dispersibility and is not beneficial to production. In this embodiment, the calculation of the vacuum processing process inside the capacitor unit is realized through the real-time interaction of the finite element simulation model and the sensor data, and the simulation calculation result is obtained, so that the evaluation of the vacuum degree of the capacitor unit is realized. The invention can improve the vacuum effect of the capacitor unit, simultaneously improve the consistency of vacuum treatment, reduce the vacuum treatment time, improve the production efficiency and the product quality and reduce the production cost.
Referring to fig. 3, a second embodiment of the present invention provides a vacuum process control apparatus, including:
the model establishing module is used for establishing a finite element simulation model according to the geometric dimension of the interior of the vacuum box and the geometric dimension of the capacitor unit;
the condition boundary setting module is used for setting condition boundaries related to the finite element simulation model according to the positions of an air pressure sensor arranged at each oil filling port in the vacuum box, an air pressure sensor arranged at an air outlet of the vacuum box and an air speed sensor;
the data acquisition module is used for acquiring sensor data acquired by all the air pressure sensors and the wind speed sensors;
the parameter setting module is used for setting the parameters of each condition boundary according to the sensor data;
the simulation calculation module is used for carrying out simulation calculation according to the finite element simulation model and the condition boundary to obtain a simulation result; wherein the simulation result comprises the air pressure and water content inside each capacitor unit;
and the evaluation module is used for evaluating the vacuum degree in each capacitor unit according to the simulation result and judging whether the vacuumizing reaches the standard or not according to the evaluation result.
Preferably, the apparatus further comprises:
the data updating module is used for acquiring sensor data acquired by all the air pressure sensors and the wind speed sensors again after a preset time interval so as to update the sensor data;
and the parameter updating module is used for setting the parameters of each condition boundary according to the updated sensor data and carrying out simulation calculation again.
The vacuum process control device provided by this embodiment realizes the calculation of the vacuum processing process inside the capacitor unit through the real-time interaction of the finite element simulation model and the sensor data, and obtains the simulation calculation result, thereby realizing the evaluation of the vacuum degree of the capacitor unit. The invention can improve the vacuum effect of the capacitor unit, simultaneously improve the consistency of vacuum treatment, reduce the vacuum treatment time, improve the production efficiency and the product quality and reduce the production cost.
The embodiment of the invention also provides the terminal equipment. The terminal device includes: a processor, a memory, and a computer program, such as a vacuum process control program, stored in the memory and executable on the processor. The processor, when executing the computer program, implements the steps in the various vacuum process control method embodiments described above, such as step S11 shown in fig. 1. Alternatively, the processor, when executing the computer program, implements the functions of the modules/units in the above-mentioned device embodiments, such as the evaluation module.
Illustratively, the computer program may be partitioned into one or more modules/units that are stored in the memory and executed by the processor to implement the invention. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used for describing the execution process of the computer program in the terminal device.
The terminal device can be a desktop computer, a notebook, a palm computer, an intelligent tablet and other computing devices. The terminal device may include, but is not limited to, a processor, a memory. It will be appreciated by those skilled in the art that the above components are merely examples of a terminal device and do not constitute a limitation of a terminal device, and that more or fewer components than those described above may be included, or certain components may be combined, or different components may be included, for example, the terminal device may also include input output devices, network access devices, buses, etc.
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may be any conventional processor or the like, which is the control center of the terminal device and connects the various parts of the whole terminal device using various interfaces and lines.
The memory may be used for storing the computer programs and/or modules, and the processor may implement various functions of the terminal device by executing or executing the computer programs and/or modules stored in the memory and calling data stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
Wherein, the terminal device integrated module/unit can be stored in a computer readable storage medium if it is implemented in the form of software functional unit and sold or used as a stand-alone product. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments may be implemented. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice.
It should be noted that the above-described device embodiments are merely illustrative, where the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. In addition, in the drawings of the embodiment of the apparatus provided by the present invention, the connection relationship between the modules indicates that there is a communication connection between them, and may be specifically implemented as one or more communication buses or signal lines. One of ordinary skill in the art can understand and implement it without inventive effort.
The above-mentioned embodiments are provided to further explain the objects, technical solutions and advantages of the present invention in detail, and it should be understood that the above-mentioned embodiments are only examples of the present invention and are not intended to limit the scope of the present invention. It should be understood that any modifications, equivalents, improvements and the like, which come within the spirit and principle of the invention, may occur to those skilled in the art and are intended to be included within the scope of the invention.
Claims (10)
1. A vacuum process control method is characterized by comprising the following steps:
establishing a finite element simulation model according to the geometric dimension of the interior of the vacuum box and the geometric dimension of the capacitor unit;
setting a condition boundary related to the finite element simulation model according to the position of an air pressure sensor arranged at each oil filling port in the vacuum box and the positions of an air pressure sensor and an air speed sensor arranged at an air outlet of the vacuum box;
acquiring sensor data acquired by all the air pressure sensors and the air speed sensors;
setting parameters of each condition boundary according to the sensor data;
carrying out simulation calculation according to the finite element simulation model and the condition boundary to obtain a simulation result; wherein the simulation result comprises the air pressure and water content inside each capacitor unit;
and evaluating the vacuum degree in each capacitor unit according to the simulation result, and judging whether the vacuumizing reaches the standard or not according to the evaluation result.
2. The vacuum process control method according to claim 1, wherein the estimating the degree of vacuum inside each capacitor unit according to the simulation result and determining whether the vacuum level reaches the standard according to the estimation result comprises:
when the air pressure inside each capacitor unit is less than 10pa and the water content is less than 10ppm, the evacuation stage is judged to be up to standard.
3. The vacuum process control method of claim 1, further comprising:
after a preset time interval, acquiring sensor data acquired by all the air pressure sensors and the air speed sensors again to update the sensor data;
and setting parameters of each condition boundary according to the updated sensor data, and performing simulation calculation again.
4. The vacuum process control method according to claim 3, wherein the time interval is 5 seconds to 5 minutes.
5. The vacuum process control method of claim 1, wherein the distance between nodes of the finite element simulation model mesh is not greater than 1/5, the minimum size of the capacitor element.
6. The vacuum process control method of claim 5, wherein the finite element simulation model comprises a fluid model, a thermodynamic model, and a molecular flow model.
7. A vacuum process control apparatus, comprising:
the model establishing module is used for establishing a finite element simulation model according to the geometric dimension of the interior of the vacuum box and the geometric dimension of the capacitor unit;
the condition boundary setting module is used for setting condition boundaries related to the finite element simulation model according to the positions of an air pressure sensor arranged at each oil filling port in the vacuum box, an air pressure sensor arranged at an air outlet of the vacuum box and an air speed sensor;
the data acquisition module is used for acquiring sensor data acquired by all the air pressure sensors and the wind speed sensors;
the parameter setting module is used for setting the parameters of each condition boundary according to the sensor data;
the simulation calculation module is used for carrying out simulation calculation according to the finite element simulation model and the condition boundary to obtain a simulation result; wherein the simulation result comprises the air pressure and water content inside each capacitor unit;
and the evaluation module is used for evaluating the vacuum degree in each capacitor unit according to the simulation result and judging whether the vacuumizing reaches the standard or not according to the evaluation result.
8. The vacuum process control apparatus of claim 7, further comprising:
the data updating module is used for acquiring sensor data acquired by all the air pressure sensors and the wind speed sensors again after a preset time interval so as to update the sensor data;
and the parameter updating module is used for setting the parameters of each condition boundary according to the updated sensor data and carrying out simulation calculation again.
9. A terminal device comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, the processor implementing the vacuum process control method of any one of claims 1 to 6 when executing the computer program.
10. A computer-readable storage medium, comprising a stored computer program, wherein the computer program, when executed, controls an apparatus in which the computer-readable storage medium is located to perform a vacuum process control method according to any one of claims 1 to 6.
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH04110131A (en) * | 1990-08-31 | 1992-04-10 | Nissan Motor Co Ltd | Blow molding by using pneumatic pressure |
| CN101358890A (en) * | 2008-08-06 | 2009-02-04 | 中国建筑材料科学研究总院 | Method for on-line detecting vacuum degree of vacuum glass in service |
| US20110046771A1 (en) * | 2009-08-18 | 2011-02-24 | University Of Delaware | Computer Controlled Flow Manipulation For Vacuum Infusion Processes |
| CN102683102A (en) * | 2012-05-23 | 2012-09-19 | 桂林电子科技大学 | Vacuum degree on-line detection method and device for breaker and potential information capturing sensor |
| CN203063074U (en) * | 2012-11-06 | 2013-07-17 | 科一工程有限公司 | Vacuuming device connected with die |
| US20140061962A1 (en) * | 2012-06-19 | 2014-03-06 | Convergent Manufacturing Technologies Inc. | Detection, Monitoring, and Management of Gas Presence, Gas Flow and Gas Leaks in Composites Manufacturing |
| CN109117512A (en) * | 2018-07-18 | 2019-01-01 | 北京玻钢院复合材料有限公司 | For simulating the analogue system and emulation mode of wind-powered blade mold manufacturing process |
| US20190345926A1 (en) * | 2016-11-28 | 2019-11-14 | Massachusetts Institute Of Technology | Vacuum pumps and methods of manufacturing the same |
-
2021
- 2021-11-05 CN CN202111304849.4A patent/CN114167822B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH04110131A (en) * | 1990-08-31 | 1992-04-10 | Nissan Motor Co Ltd | Blow molding by using pneumatic pressure |
| CN101358890A (en) * | 2008-08-06 | 2009-02-04 | 中国建筑材料科学研究总院 | Method for on-line detecting vacuum degree of vacuum glass in service |
| US20110046771A1 (en) * | 2009-08-18 | 2011-02-24 | University Of Delaware | Computer Controlled Flow Manipulation For Vacuum Infusion Processes |
| CN102683102A (en) * | 2012-05-23 | 2012-09-19 | 桂林电子科技大学 | Vacuum degree on-line detection method and device for breaker and potential information capturing sensor |
| US20140061962A1 (en) * | 2012-06-19 | 2014-03-06 | Convergent Manufacturing Technologies Inc. | Detection, Monitoring, and Management of Gas Presence, Gas Flow and Gas Leaks in Composites Manufacturing |
| CN203063074U (en) * | 2012-11-06 | 2013-07-17 | 科一工程有限公司 | Vacuuming device connected with die |
| US20190345926A1 (en) * | 2016-11-28 | 2019-11-14 | Massachusetts Institute Of Technology | Vacuum pumps and methods of manufacturing the same |
| CN109117512A (en) * | 2018-07-18 | 2019-01-01 | 北京玻钢院复合材料有限公司 | For simulating the analogue system and emulation mode of wind-powered blade mold manufacturing process |
Non-Patent Citations (2)
| Title |
|---|
| 帅远明 等: ""基于仿真模板的变压器油箱强度计算"", 《机械制造与自动化》 * |
| 张寒 等: ""基于ANSYS的柔性平板热管有限元分析"", 《重庆理工大学学报(自然科学)》 * |
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