CN116594346B - Intelligent control system and control method for graphite heater - Google Patents
Intelligent control system and control method for graphite heater Download PDFInfo
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- CN116594346B CN116594346B CN202310879235.1A CN202310879235A CN116594346B CN 116594346 B CN116594346 B CN 116594346B CN 202310879235 A CN202310879235 A CN 202310879235A CN 116594346 B CN116594346 B CN 116594346B
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- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 title claims abstract description 170
- 229910002804 graphite Inorganic materials 0.000 title claims abstract description 170
- 239000010439 graphite Substances 0.000 title claims abstract description 170
- 238000000034 method Methods 0.000 title claims abstract description 38
- 238000011156 evaluation Methods 0.000 claims abstract description 98
- 238000007781 pre-processing Methods 0.000 claims abstract description 16
- 238000004458 analytical method Methods 0.000 claims abstract description 15
- 230000010365 information processing Effects 0.000 claims abstract description 15
- 230000003993 interaction Effects 0.000 claims abstract description 12
- 238000012544 monitoring process Methods 0.000 claims description 129
- 238000012423 maintenance Methods 0.000 claims description 18
- 230000008859 change Effects 0.000 claims description 14
- 230000005611 electricity Effects 0.000 claims description 13
- 230000002159 abnormal effect Effects 0.000 claims description 12
- 230000001186 cumulative effect Effects 0.000 claims description 9
- 238000012545 processing Methods 0.000 claims description 8
- 238000004364 calculation method Methods 0.000 claims description 6
- 230000008439 repair process Effects 0.000 claims description 5
- 238000013461 design Methods 0.000 description 9
- 238000010438 heat treatment Methods 0.000 description 6
- 238000010586 diagram Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 239000007770 graphite material Substances 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 238000005457 optimization Methods 0.000 description 2
- 239000000126 substance Substances 0.000 description 2
- 230000007797 corrosion Effects 0.000 description 1
- 238000005260 corrosion Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000008713 feedback mechanism Effects 0.000 description 1
- 239000000835 fiber Substances 0.000 description 1
- 238000009776 industrial production Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
- G05B19/0428—Safety, monitoring
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/24—Pc safety
- G05B2219/24024—Safety, surveillance
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- 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
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Abstract
The invention discloses an intelligent control system and a control method for a graphite heater, and particularly relates to the field of intelligent control, wherein the intelligent control system comprises an intelligent control area dividing module, a man-machine interaction module, a device operation parameter acquisition module, a device information preprocessing module, a device information processing module, a device performance control analysis module, an intelligent control evaluation module and a device information safety supervision module.
Description
Technical Field
The invention relates to the technical field of intelligent control, in particular to an intelligent control system and an intelligent control method for a graphite heater.
Background
Along with the development of technology, the design and manufacturing technology of graphite heaters are continuously improved, the existing graphite heaters usually adopt block-shaped or tubular graphite materials, and the heating principle of the existing graphite heaters mainly utilizes the conductivity and high-temperature stability of the graphite materials to convert electric energy into heat energy, so that the purpose of heating is realized. The graphite heater has good corrosion resistance and is not easy to scale, is high-efficiency and energy-saving heating equipment, and is widely applied to industrial production of chemical industry, light industry, chemical fiber and energy sources, the existing graphite heater control system improves the heating efficiency by controlling the heating process, and safety accidents are prevented through analysis and feedback.
However, when the graphite heater control system is actually used, the defects still exist, such as that most of traditional graphite heater control systems are used for collecting the temperature, processing data and analyzing data of equipment, the whole flow lacks flexibility, and multiple parameters cannot be controlled simultaneously for integrated evaluation, so that a quantifiable feedback mechanism cannot be realized;
the traditional control system needs manual operation and monitoring, lacks the automation function, leads to equipment management personnel to need to continuously participate in the monitoring and adjusting system, greatly increases the operation cost of enterprises, reduces production efficiency, and simultaneously can not realize simultaneous control and optimization of a plurality of factors due to the traditional manual operation, so that the factors can not be shared, and the overall control effect is poor.
Disclosure of Invention
In order to overcome the above-mentioned drawbacks of the prior art, an embodiment of the present invention provides an intelligent control system and control method for a graphite heater, which are used for solving the problems set forth in the above-mentioned background art.
In order to achieve the above purpose, the present invention provides the following technical solutions:
the intelligent control area dividing module: the method is used for dividing the running time of the target graphite heater control area into monitoring subareas according to an equal time division mode, and marking the monitoring subareas of the target graphite heater control area as 1 and 2 … … n in sequence.
And the man-machine interaction module is used for: the intelligent graphite heater operation monitoring parameter setting interface is used for providing an intelligent graphite heater operation monitoring parameter setting interface for a user.
The equipment operation parameter acquisition module: the method is used for collecting state parameter values of all monitoring subareas of the target graphite heater control area.
The equipment operation parameter acquisition module comprises an equipment energy information acquisition unit, an equipment temperature information acquisition unit and an equipment fault information acquisition unit.
The equipment information preprocessing module comprises: the method is used for receiving the state parameter values transmitted by the equipment operation parameter acquisition module, eliminating abnormal values in the data, and calculating the weight of each state parameter value through a weighted average method.
The device information processing module: the system is used for receiving the data information transmitted by the equipment information preprocessing module and obtaining the energy utilization efficiency index, the temperature compensation index and the fault monitoring index of each monitoring subarea of the target graphite heater control area.
The equipment performance control analysis module: the system is used for receiving the data information transmitted by the equipment information processing module and calculating to obtain a performance control evaluation coefficient through the energy utilization efficiency index, the temperature compensation index and the fault monitoring index.
And the intelligent control evaluation module: the method is used for acquiring the performance control evaluation coefficients of all monitoring subareas of the target graphite heater control area, comparing the performance control evaluation coefficients with preset performance control evaluation coefficients and correspondingly adjusting the performance control evaluation coefficients.
And the equipment information safety supervision module is used for: the method is used for storing historical performance control evaluation coefficients of all monitoring subareas of the target graphite heater control area, generating a change fluctuation curve and carrying out corresponding safety early warning.
Preferably, the specific division mode of the intelligent control area division module is as follows:
and determining a target graphite heater control area to be monitored as a target area, dividing the running time of the target area into monitoring subareas according to an equal time dividing mode, wherein the time is not less than one day, and marking each monitoring subarea of the target graphite heater control area as 1 and 2 … … n in sequence.
Preferably, the man-machine interaction module specifically comprises:
an intelligent graphite heater operation monitoring parameter setting interface is provided for a user, and corresponding monitoring is performed after a set value control instruction set by the user is received.
Wherein the operation monitoring parameters include a temperature set point, a power set point, and a maintenance frequency set point.
Preferably, the specific acquisition mode of the equipment operation parameter acquisition module is as follows:
the equipment energy information acquisition unit: the intelligent electric parameter meter is used for setting an intelligent electric parameter meter, collecting the electricity consumption of the graphite heater and the power of the graphite heater of each monitoring subarea of a target graphite heater control area, and respectively marking the electricity consumption and the power of the graphite heater as、/>Where i=1, 2 … … n, i denotes the i-th monitoring subregion number.
A device temperature information acquisition unit: the graphite heater equipment temperature and the environment temperature used for setting the temperature sensor and collecting each monitoring subarea of the target graphite heater control area are respectively marked as、/>Where i=1, 2 … … n, i denotes the i-th monitoring subregion number.
An equipment failure information acquisition unit: the cumulative use time of the graphite heater, the maintenance times and the limited use time of the graphite heater for collecting each monitoring subarea of the target graphite heater control area are respectively marked as、/>、/>Where i=1, 2 … … n, i denotes the i-th monitoring subregion number.
Preferably, the device information preprocessing module specifically includes:
substituting state parameter values of all monitoring subareas of the target graphite heater control area into a formula: k=Wherein k is a weight coefficient, and the calculation formula of k is +.>=/>*100%。
Preferably, the specific mode of the device information processing module is as follows:
substituting the electricity consumption of the graphite heater, the power of the graphite heater and the power set value into a formula:
wherein->Expressed as an index of energy utilization efficiency>Graphite heater power consumption, denoted as the i-th monitoring subregion, kn as graphite heater power consumption weight, nw as graphite heater power, +.>Expressed as power set point, +.>、/>Expressed as the amount of electricity used by the graphite heater, and other factors affecting the power of the graphite heater, respectively.
Substituting the graphite heater equipment temperature, the ambient temperature and the temperature set values into a formula:
+/>wherein->Expressed as temperature compensation index>Expressed as graphite heater device temperature, +.>Expressed as ambient temperature>Expressed as temperature set point, y expressed as number of graphite heaters,/->、/>Expressed as graphite heater temperature, other influencing factors of the ambient temperature, respectively.
Substituting the cumulative use time length, the maintenance times set value and the limited use time length of the graphite heater into the formula:
+/>wherein->Expressed as fault monitoring index>Expressed as maintenance times>Denoted as the number of repairs of the ith monitored sub-area,/->Expressed as maintenance frequency set value,/>The graphite heater, denoted as the ith monitoring sub-zone, defines the duration of use, +.>Expressed as cumulative duration of use of the graphite heater, < >>A long weight for limiting the use time of the graphite heater, < ->、/>Expressed as the length of time the graphite heater is used and the number of repairs, respectively.
Preferably, the calculation formula of the performance control evaluation coefficient is:
wherein->Expressed as a performance control evaluation coefficient->Expressed as an index of energy utilization efficiency>Expressed as temperature compensation index>Represented as a fault monitoring index.
The method comprises the following steps:。
preferably, the specific evaluation mode of the intelligent control evaluation module is as follows:
acquiring performance control evaluation coefficients of all monitoring subareas of the target graphite heater control area, comparing the performance control evaluation coefficients with preset performance control evaluation coefficients, if the performance control evaluation coefficients are larger than the preset performance control evaluation coefficients, indicating that the control system of all the monitoring subareas of the target graphite heater control area is abnormal, immediately numbering and displaying abnormal area equipment, and informing equipment management personnel to monitor, otherwise, indicating that the control system of all the monitoring subareas of the target graphite heater control area is normal in operation.
Preferably, the device information security supervision module specifically includes:
acquiring historical performance control evaluation coefficients of all monitoring subareas of a target graphite heater control area to obtain a performance evaluation coefficient change fluctuation formula:wherein->Expressed as a performance evaluation compensation coefficient->Expressed as number of k-th acquisitions, +.>Performance control evaluation coefficient denoted as the ith monitoring sub-region,/->And the performance control evaluation coefficient is expressed as a preset performance control evaluation coefficient, a change fluctuation curve is generated through the terminal, and the result is transmitted to a manager.
Preferably, an intelligent control method for a graphite heater comprises the following steps:
step S01: intelligent control region division: the method specifically comprises the steps of dividing the running time of a control area of the target graphite heater into monitoring subareas according to an equal time division mode, and marking the monitoring subareas of the control area of the target graphite heater as 1 and 2 … … n in sequence.
Step S02: man-machine interaction: specifically, an intelligent graphite heater operation monitoring parameter setting interface is provided for a user.
Step S03: and (3) obtaining equipment operation parameters: specifically, state parameter values of all monitoring subareas of a control area of the target graphite heater are collected.
The equipment operation parameter acquisition comprises an equipment energy information acquisition unit, an equipment temperature information acquisition unit and an equipment fault information acquisition unit.
Step S04: preprocessing equipment information: specifically, abnormal values in the data are eliminated, and the weight of each state parameter value is calculated by a weighted average method.
Step S05: and (3) processing equipment information: the method specifically comprises the step of analyzing data information to obtain an energy utilization efficiency index, a temperature compensation index and a fault monitoring index of each monitoring subarea of a target graphite heater control area.
Step S06: and (3) equipment performance control analysis: specifically, a performance control evaluation coefficient is calculated through an energy utilization efficiency index, a temperature compensation index and a fault monitoring index.
Step S07: intelligent control evaluation: the method specifically comprises the steps of obtaining performance control evaluation coefficients of all monitoring subareas of a target graphite heater control area, comparing the performance control evaluation coefficients with preset performance control evaluation coefficients, and correspondingly adjusting the performance control evaluation coefficients.
Step S08: and (3) equipment information safety supervision: the method specifically comprises the steps of storing historical performance control evaluation coefficients of all monitoring subareas of a target graphite heater control area, generating a change fluctuation curve, and carrying out corresponding safety early warning.
The invention has the technical effects and advantages that:
1. the invention provides an intelligent control system and a control method for a graphite heater, wherein a sensor is used for collecting data information of each monitoring subarea of a control area of the target graphite heater, an energy utilization efficiency index, a temperature compensation index and a fault monitoring index of each monitoring subarea of the control area of the target graphite heater are obtained after processing and analysis, a performance control evaluation coefficient is further obtained through analysis, the performance control evaluation coefficient is compared with a preset performance control evaluation coefficient, corresponding processing is carried out, and meanwhile, a change fluctuation curve is generated, so that operators can intuitively know the running condition of equipment, corresponding adjustment is carried out, the working efficiency is improved, and the whole intelligent control is realized;
2. the intelligent control system adopts a multivariable control method, simultaneously considers the influence of factors of electricity consumption, power, temperature, equipment using time and maintenance times, and performs comprehensive optimization, so that the intelligent monitoring and adjustment of the control system at any time are realized through the remote terminal, the overall heating performance is improved, the energy waste is reduced, and the enterprise operation cost is reduced.
Drawings
Fig. 1 is a schematic diagram of a system module connection according to the present invention.
FIG. 2 is a schematic diagram of a device operating parameter acquisition module according to 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.
Referring to fig. 1, the invention provides an intelligent control system and a control method for a graphite heater, wherein the intelligent control system comprises an intelligent control region dividing module, a man-machine interaction module, a device operation parameter acquisition module, a device information preprocessing module, a device information processing module, a device performance control analysis module, an intelligent control evaluation module and a device information safety supervision module.
The intelligent control area dividing module is connected with the man-machine interaction module and the equipment operation parameter acquisition module, the equipment operation parameter acquisition module is connected with the equipment information preprocessing module, the equipment information preprocessing module is connected with the equipment information processing module, the equipment information processing module is connected with the equipment performance control analysis module, the equipment performance control analysis module is connected with the intelligent control evaluation module, and the intelligent control evaluation module is connected with the equipment information safety supervision module.
The intelligent control region dividing module is used for dividing the running time of the control region of the target graphite heater into monitoring subareas according to an equal time dividing mode, and marking the monitoring subareas of the control region of the target graphite heater as 1 and 2 … … n in sequence.
In one possible design, the specific division manner of the intelligent control area division module is as follows:
and determining a target graphite heater control area to be monitored as a target area, dividing the running time of the target area into monitoring subareas according to an equal time dividing mode, wherein the time is not less than one day, and marking each monitoring subarea of the target graphite heater control area as 1 and 2 … … n in sequence.
The man-machine interaction module is used for providing an intelligent graphite heater operation monitoring parameter setting interface for a user.
In one possible design, the man-machine interaction module is specifically:
an intelligent graphite heater operation monitoring parameter setting interface is provided for a user, and corresponding monitoring is performed after a set value control instruction set by the user is received.
Wherein the operation monitoring parameters include a temperature set point, a power set point, and a maintenance frequency set point.
The equipment operation parameter acquisition module is used for acquiring state parameter values of all monitoring subareas of the control area of the target graphite heater.
Referring to fig. 2, the device operation parameter obtaining module includes a device energy information obtaining unit, a device temperature information obtaining unit, and a device fault information obtaining unit.
In one possible design, the specific acquisition mode of the equipment operation parameter acquisition module is as follows:
the device energy information acquisition unit: the intelligent electric parameter meter is used for setting an intelligent electric parameter meter, collecting the electricity consumption of the graphite heater and the power of the graphite heater of each monitoring subarea of a target graphite heater control area, and respectively marking the electricity consumption and the power of the graphite heater as、/>Where i=1, 2 … … n, i denotes the i-th monitoring subregion number.
The device temperature information acquisition unit: the graphite heater equipment temperature and the environment temperature used for setting the temperature sensor and collecting each monitoring subarea of the target graphite heater control area are respectively marked as、/>Where i=1, 2 … … n, i denotes the i-th monitoring subregion number.
The device failure information acquisition unit: the cumulative use time of the graphite heater, the maintenance times and the limited use time of the graphite heater for collecting each monitoring subarea of the target graphite heater control area are respectively marked as、/>、/>Where i=1, 2 … … n, i denotes the i-th monitoring subregion number.
The equipment information preprocessing module is used for receiving the state parameter values transmitted by the equipment operation parameter acquisition module, eliminating abnormal values in the data and calculating the weight of each state parameter value through a weighted average method.
In one possible design, the device information preprocessing module specifically includes:
substituting state parameter values of all monitoring subareas of the target graphite heater control area into a formula: k=Wherein k is a weight coefficient, and the calculation formula of k is +.>=/>*100%。
The equipment information processing module is used for receiving the data information transmitted by the equipment information preprocessing module and obtaining the energy utilization efficiency index, the temperature compensation index and the fault monitoring index of each monitoring subarea of the target graphite heater control area.
In one possible design, the specific manner of the device information processing module is:
substituting the electricity consumption of the graphite heater, the power of the graphite heater and the power set value into a formula:
wherein->Expressed as an index of energy utilization efficiency>Graphite heater power consumption, denoted as the i-th monitoring subregion, kn as graphite heater power consumption weight, nw as graphite heater power, +.>Expressed as power set point, +.>、/>Expressed as the amount of electricity used by the graphite heater, and other factors affecting the power of the graphite heater, respectively.
Substituting the graphite heater equipment temperature, the ambient temperature and the temperature set values into a formula:
+/>wherein->Expressed as temperature compensation index>Expressed as graphite heater device temperature, +.>Expressed as ambient temperature>Expressed as temperature set point, y expressed as number of graphite heaters,/->、/>Expressed as graphite heater temperature, other influencing factors of the ambient temperature, respectively.
Substituting the cumulative use time length, the maintenance times set value and the limited use time length of the graphite heater into the formula:
+/>wherein->Indicated as a result ofBarrier monitoring index (I.F.)>Expressed as maintenance times>Denoted as the number of repairs of the ith monitored sub-area,/->Expressed as maintenance frequency set value,/>The graphite heater, denoted as the ith monitoring sub-zone, defines the duration of use, +.>Expressed as cumulative duration of use of the graphite heater, < >>A long weight for limiting the use time of the graphite heater, < ->、/>Expressed as the length of time the graphite heater is used and the number of repairs, respectively.
The equipment performance control analysis module is used for receiving the data information transmitted by the equipment information processing module and calculating to obtain a performance control evaluation coefficient through the energy utilization efficiency index, the temperature compensation index and the fault monitoring index.
In one possible design, the calculation formula of the performance control evaluation coefficient is:
wherein->Expressed as a performance control evaluation coefficient->Expressed as an index of energy utilization efficiency>Expressed as temperature compensation index>Represented as a fault monitoring index.
The method comprises the following steps:。
the intelligent control evaluation module is used for acquiring the performance control evaluation coefficients of all monitoring subareas of the target graphite heater control area, comparing the performance control evaluation coefficients with preset performance control evaluation coefficients and correspondingly adjusting the performance control evaluation coefficients.
In one possible design, the specific evaluation mode of the intelligent control evaluation module is as follows:
acquiring performance control evaluation coefficients of all monitoring subareas of the target graphite heater control area, comparing the performance control evaluation coefficients with preset performance control evaluation coefficients, if the performance control evaluation coefficients are larger than the preset performance control evaluation coefficients, indicating that the control system of all the monitoring subareas of the target graphite heater control area is abnormal, immediately numbering and displaying abnormal area equipment, and informing equipment management personnel to monitor, otherwise, indicating that the control system of all the monitoring subareas of the target graphite heater control area is normal in operation.
The equipment information safety supervision module is used for storing historical performance control evaluation coefficients of all monitoring subareas of the target graphite heater control area, generating a change fluctuation curve and carrying out corresponding safety early warning.
In one possible design, the device information security supervision module specifically includes:
acquiring historical performance control evaluation coefficients of all monitoring subareas of a target graphite heater control area to obtain a performance evaluation coefficient change fluctuation formula:wherein->Expressed as a performance evaluation compensation coefficient->Expressed as number of k-th acquisitions, +.>Performance control evaluation coefficient denoted as the ith monitoring sub-region,/->And the performance control evaluation coefficient is expressed as a preset performance control evaluation coefficient, a change fluctuation curve is generated through the terminal, and the result is transmitted to a manager.
In this embodiment, it should be specifically described that the present invention provides an intelligent control method for a graphite heater, including the following steps:
step S01: intelligent control region division: the method specifically comprises the steps of dividing the running time of a control area of the target graphite heater into monitoring subareas according to an equal time division mode, and marking the monitoring subareas of the control area of the target graphite heater as 1 and 2 … … n in sequence.
Step S02: man-machine interaction: specifically, an intelligent graphite heater operation monitoring parameter setting interface is provided for a user.
Step S03: and (3) obtaining equipment operation parameters: specifically, state parameter values of all monitoring subareas of a control area of the target graphite heater are collected.
The equipment operation parameter acquisition comprises an equipment energy information acquisition unit, an equipment temperature information acquisition unit and an equipment fault information acquisition unit.
Step S04: preprocessing equipment information: specifically, abnormal values in the data are eliminated, and the weight of each state parameter value is calculated by a weighted average method.
Step S05: and (3) processing equipment information: the method specifically comprises the step of analyzing data information to obtain an energy utilization efficiency index, a temperature compensation index and a fault monitoring index of each monitoring subarea of a target graphite heater control area.
Step S06: and (3) equipment performance control analysis: specifically, a performance control evaluation coefficient is calculated through an energy utilization efficiency index, a temperature compensation index and a fault monitoring index.
Step S07: intelligent control evaluation: the method specifically comprises the steps of obtaining performance control evaluation coefficients of all monitoring subareas of a target graphite heater control area, comparing the performance control evaluation coefficients with preset performance control evaluation coefficients, and correspondingly adjusting the performance control evaluation coefficients.
Step S08: and (3) equipment information safety supervision: the method specifically comprises the steps of storing historical performance control evaluation coefficients of all monitoring subareas of a target graphite heater control area, generating a change fluctuation curve, and carrying out corresponding safety early warning.
In this embodiment, it needs to be specifically explained that, the sensor collects the power consumption, power, temperature, equipment use duration and maintenance frequency data information of each monitoring subarea of the target graphite heater control area, and the energy utilization efficiency index, the temperature compensation index and the fault monitoring index of each monitoring subarea of the target graphite heater control area are obtained after processing and analysis, and further the performance control evaluation coefficient is obtained through analysis, and compared with the preset performance control evaluation coefficient, the corresponding processing is performed, and meanwhile, a change fluctuation curve is generated, so that operators can conveniently and intuitively know the running condition of the equipment, perform corresponding adjustment, improve the working efficiency and realize the integral intelligent control.
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. An intelligent control system for a graphite heater, comprising:
the intelligent control area dividing module: dividing the operation time of the target graphite heater into monitoring subareas according to an equal time division mode, and marking the monitoring subareas of the operation time area of the target graphite heater as 1 and 2 … … n in sequence;
and the man-machine interaction module is used for: the graphite heater operation monitoring parameter setting interface is used for providing an intelligent graphite heater operation monitoring parameter setting interface for a user;
the equipment operation parameter acquisition module: the state parameter values of all monitoring subareas in the operation time zone of the target graphite heater are collected;
the equipment operation parameter acquisition module comprises an equipment energy information acquisition unit, an equipment temperature information acquisition unit and an equipment fault information acquisition unit;
the equipment information preprocessing module comprises: the state parameter value is used for receiving the state parameter value transmitted by the equipment operation parameter acquisition module, eliminating abnormal values in the data, and calculating the weight of each state parameter value through a weighted average method;
the device information processing module: for receiving data information transmitted by the device information preprocessing module, obtaining an energy utilization efficiency index, a temperature compensation index and a fault monitoring index of each monitoring subarea of the operation time zone of the target graphite heater;
the equipment information processing module specifically comprises:
substituting the electricity consumption of the graphite heater, the power of the graphite heater and the power set value into a formula:
wherein->Expressed as an index of energy utilization efficiency>Graphite heater power consumption, denoted as the i-th monitoring subregion, kn as graphite heater power consumption weight, nw as graphite heater power, +.>Expressed as power set point, +.>、/>The factors are respectively expressed as the electricity consumption of the graphite heater and the influence factor of the power of the graphite heater;
substituting the graphite heater equipment temperature, the ambient temperature and the temperature set values into a formula:
+/>wherein->Expressed as temperature compensation index>Expressed as graphite heater device temperature, +.>Expressed as ambient temperature>Expressed as a temperature set point, y expressed as the number of graphite heaters,、/>the factors are respectively expressed as the influence factors of the temperature of the graphite heater and the ambient temperature;
substituting the cumulative use time length, the maintenance times set value and the limited use time length of the graphite heater into the formula:
+/>wherein->Expressed as fault monitoring index>Expressed as maintenance times>Denoted as the number of repairs of the ith monitored sub-area,/->Expressed as maintenance frequency set value,/>The graphite heater, denoted as the ith monitoring sub-zone, defines the duration of use, +.>Expressed as cumulative duration of use of the graphite heater, < >>A long weight for limiting the use time of the graphite heater, < ->、/>The influence factors are respectively expressed as the service time and maintenance times of the graphite heater;
the equipment performance control analysis module: the system comprises an equipment information processing module, a performance control evaluation coefficient, a temperature compensation index, a fault monitoring index and a power control module, wherein the equipment information processing module is used for receiving data information transmitted by the equipment information processing module, and calculating the performance control evaluation coefficient through the energy utilization efficiency index, the temperature compensation index and the fault monitoring index;
the calculation formula of the performance control evaluation coefficient is as follows:
wherein->Expressed as a performance control evaluation coefficient->Expressed as an index of energy utilization efficiency>Expressed as temperature compensation index>Expressed as a fault monitoring index;
the method comprises the following steps:；
and the intelligent control evaluation module: the method comprises the steps of acquiring performance control evaluation coefficients of all monitoring subareas of a target graphite heater operation time region, comparing the performance control evaluation coefficients with preset performance control evaluation coefficients, and correspondingly adjusting the performance control evaluation coefficients;
the specific evaluation mode of the intelligent control evaluation module is as follows:
acquiring performance control evaluation coefficients of all monitoring subareas of the target graphite heater operation time region, comparing the performance control evaluation coefficients with preset performance control evaluation coefficients, if the performance control evaluation coefficients are larger than the preset performance control evaluation coefficients, indicating that the control system of all the monitoring subareas of the target graphite heater operation time region is abnormal, immediately numbering and displaying abnormal region equipment, informing equipment management personnel to monitor, otherwise, indicating that the control system of all the monitoring subareas of the target graphite heater operation time region is normal;
and the equipment information safety supervision module is used for: the method comprises the steps of storing historical performance control evaluation coefficients of all monitoring subareas in a target graphite heater operation time area, generating a change fluctuation curve, and carrying out corresponding safety early warning;
the equipment information safety supervision module specifically comprises:
acquiring historical performance control evaluation coefficients of all monitoring subareas in the running time zone of the target graphite heater to obtain a performance evaluation coefficient change fluctuation formula:
wherein->Expressed as a performance evaluation compensation coefficient->Expressed as number of k-th acquisitions, +.>Performance control evaluation coefficient denoted as the ith monitoring sub-region,/->And the performance control evaluation coefficient is expressed as a preset performance control evaluation coefficient, a change fluctuation curve is generated through the terminal, and the result is transmitted to a manager.
2. The intelligent control system for a graphite heater as set forth in claim 1, wherein: the specific division mode of the intelligent control region division module is as follows:
determining the running time of the target graphite heater to be monitored as a target area, dividing the running time of the target area into monitoring subareas according to an equal time dividing mode, wherein the time is not less than one day, and marking the monitoring subareas of the running time area of the target graphite heater as 1 and 2 … … n in sequence.
3. The intelligent control system for a graphite heater as set forth in claim 1, wherein: the man-machine interaction module specifically comprises:
providing an intelligent graphite heater operation monitoring parameter setting interface for a user, and carrying out corresponding monitoring after receiving a set value control instruction set by the user;
wherein the operation monitoring parameters include a temperature set point, a power set point, and a maintenance frequency set point.
4. The intelligent control system for a graphite heater as set forth in claim 1, wherein: the specific acquisition mode of the equipment operation parameter acquisition module is as follows:
the equipment energy information acquisition unit: the intelligent electric parameter meter is used for setting an intelligent electric parameter meter, collecting the electricity consumption of the graphite heater and the power of the graphite heater in each monitoring subarea of the operation time area of the target graphite heater, and respectively marking the electricity consumption and the power of the graphite heater as、/>Where i=1, 2 … … n, i is denoted as the i-th monitoring subregion number;
a device temperature information acquisition unit: the graphite heater equipment temperature and the environment temperature used for setting the temperature sensor and collecting each monitoring subarea of the target graphite heater operation time zone are respectively marked as、/>Where i=1, 2 … … n, i is denoted as the i-th monitoring subregion number;
an equipment failure information acquisition unit: the cumulative use time of the graphite heater, the maintenance times and the limited use time of the graphite heater for collecting each monitoring subarea of the target graphite heater operation time zone are respectively marked as、/>、/>Where i=1, 2 … … n, i denotes the i-th monitoring subregion number.
5. The intelligent control system for a graphite heater as set forth in claim 1, wherein: the equipment information preprocessing module specifically comprises:
substituting state parameter values of all monitoring subareas of the target graphite heater operation time zone into a formula: k=Wherein->Is a weight coefficient>The calculation formula of (2) is +.>=/>*100%。
6. An intelligent control method for a graphite heater, which is used for realizing the intelligent control system for a graphite heater as set forth in any one of claims 1 to 5, and is characterized by comprising the following steps:
step S01: intelligent control region division: dividing the operation time of a control region of the target graphite heater into monitoring subareas according to an equal time division mode, and marking the monitoring subareas of the operation time region of the target graphite heater as 1 and 2 … … n in sequence;
step S02: man-machine interaction: specifically, an intelligent graphite heater operation monitoring parameter setting interface is provided for a user;
step S03: and (3) obtaining equipment operation parameters: the method specifically comprises the steps of collecting state parameter values of all monitoring subareas in the running time area of a target graphite heater;
the equipment operation parameter acquisition comprises an equipment energy information acquisition unit, an equipment temperature information acquisition unit and an equipment fault information acquisition unit;
step S04: preprocessing equipment information: specifically, abnormal values in the data are eliminated, and the weight of each state parameter value is calculated through a weighted average method;
step S05: and (3) processing equipment information: analyzing data information to obtain an energy utilization efficiency index, a temperature compensation index and a fault monitoring index of each monitoring subarea of the operation time region of the target graphite heater;
step S06: and (3) equipment performance control analysis: the performance control evaluation coefficient is calculated through the energy utilization efficiency index, the temperature compensation index and the fault monitoring index;
step S07: intelligent control evaluation: the method comprises the steps of obtaining performance control evaluation coefficients of all monitoring subareas of a target graphite heater operation time region, comparing the performance control evaluation coefficients with preset performance control evaluation coefficients, and correspondingly adjusting the performance control evaluation coefficients;
step S08: and (3) equipment information safety supervision: the method specifically comprises the steps of storing historical performance control evaluation coefficients of all monitoring subareas in the running time area of the target graphite heater, generating a change fluctuation curve, and carrying out corresponding safety early warning.
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Denomination of invention: An intelligent control system and control method for graphite heaters Granted publication date: 20231020 Pledgee: Industrial and Commercial Bank of China Limited Jining urban sub branch Pledgor: Shandong Hengsheng Graphite Technology Co.,Ltd. Registration number: Y2024980027675 |