CN116974236A - Intelligent control method and system for equipment - Google Patents
Intelligent control method and system for equipment Download PDFInfo
- Publication number
- CN116974236A CN116974236A CN202311231176.3A CN202311231176A CN116974236A CN 116974236 A CN116974236 A CN 116974236A CN 202311231176 A CN202311231176 A CN 202311231176A CN 116974236 A CN116974236 A CN 116974236A
- Authority
- CN
- China
- Prior art keywords
- control
- data
- response
- intelligent
- oil smoke
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 38
- 230000004044 response Effects 0.000 claims abstract description 265
- 239000000779 smoke Substances 0.000 claims abstract description 102
- 238000000746 purification Methods 0.000 claims abstract description 55
- 238000012544 monitoring process Methods 0.000 claims abstract description 44
- 239000003517 fume Substances 0.000 claims abstract description 37
- 230000000694 effects Effects 0.000 claims abstract description 32
- 238000011156 evaluation Methods 0.000 claims abstract description 22
- 230000011218 segmentation Effects 0.000 claims description 19
- 238000004364 calculation method Methods 0.000 claims description 16
- 238000004458 analytical method Methods 0.000 claims description 13
- 238000001514 detection method Methods 0.000 claims description 12
- 238000004891 communication Methods 0.000 claims description 11
- 239000006233 lamp black Substances 0.000 claims description 11
- 238000013507 mapping Methods 0.000 claims description 9
- 238000007405 data analysis Methods 0.000 claims description 4
- 230000002708 enhancing effect Effects 0.000 abstract description 4
- 230000008859 change Effects 0.000 description 28
- 230000000875 corresponding effect Effects 0.000 description 28
- 230000009471 action Effects 0.000 description 15
- 230000007613 environmental effect Effects 0.000 description 12
- 230000001965 increasing effect Effects 0.000 description 10
- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical compound [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 description 6
- 230000001276 controlling effect Effects 0.000 description 6
- 239000003546 flue gas Substances 0.000 description 6
- 238000009826 distribution Methods 0.000 description 4
- 239000004071 soot Substances 0.000 description 4
- 238000005457 optimization Methods 0.000 description 3
- 238000012545 processing Methods 0.000 description 3
- 206010063385 Intellectualisation Diseases 0.000 description 2
- 230000002159 abnormal effect Effects 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 2
- 230000003247 decreasing effect Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 239000000284 extract Substances 0.000 description 2
- 238000009499 grossing Methods 0.000 description 2
- 230000007246 mechanism Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000007781 pre-processing Methods 0.000 description 2
- 230000000630 rising effect Effects 0.000 description 2
- 239000000126 substance Substances 0.000 description 2
- 230000001360 synchronised effect Effects 0.000 description 2
- 238000009825 accumulation Methods 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 230000001174 ascending effect Effects 0.000 description 1
- 230000015556 catabolic process Effects 0.000 description 1
- 238000011217 control strategy Methods 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 238000006731 degradation reaction Methods 0.000 description 1
- 230000005684 electric field Effects 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000012549 training Methods 0.000 description 1
- 230000003313 weakening effect Effects 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
- G05B19/04—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
- G05B19/0423—Input/output
-
- 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
- G05B2219/25—Pc structure of the system
- G05B2219/25257—Microcontroller
-
- 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 intelligent control method and system of equipment, belonging to the field of intelligent control, wherein the method comprises the following steps: starting the intelligent equipment and controlling the response device to start; the method comprises the steps of (1) collecting oil smoke initial state data of the position of a fume collecting hood, and constructing an initial state data set; generating response control information, and performing response control on the response device; continuously collecting the oil smoke concentration, and constructing window feedback data; calculating the proportion of flowing oil smoke according to the window feedback data and the response control information, and generating steady-state response data; performing response control by using steady-state response data, performing output monitoring, and constructing compensation monitoring data; and performing purification treatment evaluation according to the compensation monitoring data, generating compensation parameters, and performing intelligent control of the response device. The intelligent device control method solves the technical problems of low control precision and low control efficiency of the intelligent device in the prior art, and achieves the technical effects of improving the control precision, enhancing the control intelligence of the device and improving the control efficiency.
Description
Technical Field
The invention relates to the field of intelligent control, in particular to an intelligent control method and system of equipment.
Background
Modern household appliances are developing towards intellectualization, various intelligent devices are widely applied to the fields of life and production, most of the intelligent devices are mechanically controlled by preset control programs, cannot be adjusted in real time according to environmental changes, are difficult to realize high-precision control and high-efficiency working states, and are difficult to meet the requirements of users on product performance and experience. The existing oil fume purifying equipment is fixed-mode oil fume purifying control in a control mode, the working parameters cannot be adjusted in real time according to the change of kitchen oil fume, and the control requirement is difficult to meet.
Disclosure of Invention
The application provides an intelligent control method and system for equipment, and aims to solve the technical problems of low control precision and low control efficiency of intelligent equipment in the prior art.
In view of the above problems, the application provides an intelligent control method and system for equipment.
In a first aspect of the present disclosure, an intelligent control method for a device is provided, where the method includes: receiving control data of a control switch, starting intelligent equipment, and controlling a response device to start based on the control data; synchronously calling a sensing module of the input port, and acquiring initial state data of the oil smoke at the position of the fume collecting hood of the input port to construct an initial state data set; transmitting the initial state data set to an intelligent controller, generating response control information by the intelligent controller based on an initial state trigger database of the initial state data set, and transmitting the response control information to a response device to perform response control on the response device, wherein the response control information is window response control with a time window; continuously collecting the oil smoke concentration of an input port through a sensing module in a time window, constructing window feedback data, and synchronizing the window feedback data to an intelligent controller; calculating the proportion of flowing oil smoke according to window feedback data and response control information of the intelligent controller, and generating steady-state response data according to a calculation result; transmitting steady state response data to a response device for response control, and synchronously enabling a sensing module of an output port to perform output monitoring to construct compensation monitoring data; and synchronizing the compensation monitoring data to an intelligent controller, performing purification treatment evaluation through the intelligent controller, generating compensation parameters, and performing intelligent control of the response device according to the compensation parameters.
In another aspect of the disclosure, an intelligent control system for a device is provided, the system comprising: the equipment control starting module is used for receiving control data of the control switch, starting the intelligent equipment and controlling the starting of the response device based on the control data; the initial data acquisition module is used for synchronously calling the sensing module of the input port, and acquiring the oil smoke initial state data of the fume collecting hood position of the input port to construct an initial state data set; the device response control module is used for transmitting the initial state data set to the intelligent controller, and the intelligent controller generates response control information based on an initial state trigger database of the initial state data set, sends the response control information to the response device and carries out response control on the response device, wherein the response control information is window response control with a time window; the oil smoke concentration acquisition module is used for continuously acquiring the oil smoke concentration of the input port through the sensing module in a time window, constructing window feedback data and synchronizing the window feedback data to the intelligent controller; the oil smoke proportion calculation module is used for calculating the proportion of flowing oil smoke according to window feedback data and response control information of the intelligent controller and generating steady-state response data according to a calculation result; the output port detection module is used for sending the steady-state response data to the response device for response control, synchronously starting the sensing module of the output port for output monitoring, and constructing compensation monitoring data; and the intelligent device control module is used for synchronizing the compensation monitoring data to the intelligent controller, performing purification treatment evaluation through the intelligent controller, generating compensation parameters, and performing intelligent control of the response device according to the compensation parameters.
One or more technical schemes provided by the application have at least the following technical effects or advantages:
because the sensing module is configured at the input port and the output port of the oil fume purifying equipment, the surrounding parameters and the working state of the equipment of the oil fume purifying equipment are monitored in real time, and the acquired data are synchronously transmitted to the intelligent controller; the intelligent controller generates window response control information and steady state response data with a time window according to the initial state data and the window feedback data, and accurately controls the operation of the response device; meanwhile, the sensing module of the output port monitors the purifying effect to obtain compensation monitoring data, the intelligent controller generates compensation parameters according to the compensation monitoring data, and optimizes and adjusts the technical scheme of the control effect of the response device, so that the technical problems of low control precision and low control efficiency of intelligent equipment in the prior art are solved, and the technical effects of improving the control precision, enhancing the control intelligence of the equipment and improving the control efficiency are achieved.
The foregoing description is only an overview of the present application, and is intended to be implemented in accordance with the teachings of the present application in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present application more readily apparent.
Drawings
Fig. 1 is a schematic flow chart of a possible method for intelligent control of a device according to an embodiment of the present application;
fig. 2 is a schematic diagram of a possible flow of data transmission in an intelligent control method of a device according to an embodiment of the present application;
fig. 3 is a schematic diagram of a possible structure of an intelligent control system of a device according to an embodiment of the present application.
Reference numerals illustrate: the device comprises a device control starting module 11, an initial data acquisition module 12, a device response control module 13, a lampblack concentration acquisition module 14, a lampblack proportion calculation module 15, an output port detection module 16 and a device intelligent control module 17.
Detailed Description
The technical scheme provided by the application has the following overall thought:
the embodiment of the application provides an intelligent control method and an intelligent control system for equipment, which aim to realize intelligent closed-loop control of oil fume purifying equipment, and solve the technical problem that intelligent equipment is difficult to control efficiently and accurately in the prior art by adopting a technical scheme of combining environment parameter real-time monitoring and intelligent control.
Specifically, the sensing module firstly collects initial environment data and equipment states, and the intelligent controller generates window response control information with a time window based on the initial data to control the work of the response device. In the time window, the sensing module continuously monitors environmental changes to obtain window feedback data, the intelligent controller calculates to obtain steady-state response data, and the response device is controlled again to reach a steady working state. The sensing module of the output port monitors the purifying effect, acquires compensation monitoring data, and the intelligent controller generates compensation parameters according to the compensation monitoring data to optimize and adjust the control effect of the response device.
Having described the basic principles of the present application, various non-limiting embodiments of the present application will now be described in detail with reference to the accompanying drawings.
Example 1
As shown in fig. 1, an embodiment of the present application provides an intelligent control method for a device, where the method is applied to an intelligent device, and the intelligent device includes an input port, an output port, an intelligent controller, and a response device, where the input port and the output port are configured with a sensing module, and the intelligent controller is communicatively connected with the response device and the sensing module.
In the embodiment of the application, the intelligent equipment is intelligent oil fume purifying equipment and comprises an input port, an output port, an intelligent controller and a response device. The input port and the output port are provided with sensing modules for detecting and collecting the relevant data of the running state of the equipment. The intelligent controller is in communication connection with the response device and the sensing module and is used for receiving and transmitting data and generating a control instruction based on the data to control the response device of the intelligent oil smoke purifying equipment. The input port is used for receiving substances to enter the intelligent equipment, and the output port is used for outputting the processed result of the intelligent equipment. The sensing module is arranged on the input port and the output port and is used for detecting and collecting state data of the input port and the output port in real time, such as flue gas concentration, temperature, flow and the like. The intelligent controller has strong calculation and data processing capacity, can receive the data that the sensing module gathered in real time, and generates control command and control the action of response device according to the data. The responding device is an executing mechanism and is used for responding to the control instruction of the intelligent controller to perform corresponding actions, such as starting the fan, starting the purifying module, adjusting the valve and the like, so as to influence and control the operation of the intelligent equipment.
The intelligent control method comprises the following steps:
receiving control data of a control switch, starting the intelligent equipment, and controlling the response device to start based on the control data;
in the embodiment of the application, the control switch is a device for controlling and operating the intelligent equipment by a user, and has various control modes, such as manual control, voice control, remote control and the like. After the intelligent device receives the control data sent by the control switch, the intelligent device analyzes the control data and judges the operation to be carried out. Here, the control data includes an operation instruction for starting the intelligent oil smoke purifying device and the response device, so that the intelligent device can analyze and judge the operation instruction to confirm that the intelligent device and the response device need to be started. Then, a starting instruction is sent to the intelligent oil fume purifying equipment, and the intelligent equipment is started. And simultaneously, sending a starting instruction to the response device to start the response device. After the response device is started, the response device is in a standby state, and a control instruction sent by the intelligent controller is waited for corresponding control action. The intelligent equipment and the response device are started by the control data of the control switch, so that the intelligent equipment and the response device enter working states such as fans, purification modules, valves and the like, and a foundation is laid for subsequent control and operation.
Synchronously calling a sensing module of the input port, and acquiring initial state data of the lampblack collecting hood of the input port to construct an initial state data set;
in the embodiment of the application, the sensing module of the input port is a device for detecting the state data of the input port, for example, collecting the data of the concentration, the temperature, the flow and the like of the input flue gas. The fume collection hood position is a specific position of the input port, and the state of substances received by the input port, such as the state of fume, can be acquired at the specific position.
And when the intelligent equipment and the response device are started, an acquisition instruction is sent to the sensing module, and the sensing module is instructed to acquire the oil smoke initial state data of the fume collecting hood. After the sensing module receives the instruction, synchronously collecting the data of each parameter, such as initial values of flue gas concentration, temperature, flow and the like, from the position of the fume collecting hood in real time. The collected data form an initial data set, and the related data information in the initial state is stored and used as a reference standard for subsequent control.
Initial values of each key parameter are collected at the initial stage of equipment start-up, and the initial values reflect the state of the system at the time of start-up. The data continuously collected in the running process can be compared with the initial data set, the difference between the running state and the initial state of the system is judged, state monitoring and intelligent control are realized, and basic data reference is provided for the subsequent control flow and state judgment.
Transmitting the initial state data set to the intelligent controller, generating response control information based on an initial state trigger database of the initial state data set by the intelligent controller, transmitting the response control information to the response device, and performing response control on the response device, wherein the response control information is window response control with a time window;
in the embodiment of the application, the initial data set is transmitted to the intelligent controller, and the intelligent controller generates response control information based on the initial data set and the initial trigger database and transmits the response control information to the response device for response control. The response control information is a window response control with a time window. The initial state triggering database is a database stored in the intelligent controller, and normal values or ranges of all key parameters in the initial state of the system are recorded in the database; the response control information is a control instruction which is generated by the intelligent controller and sent to the response device and is used for indicating the response device to perform corresponding control actions; meanwhile, the response control information designates a time interval, that is, a time window, in which the response device needs to perform the corresponding control action included in the response control information, and does not perform the response control information except for the corresponding time window.
The information contained in the initial data set reflects the initial state of the system, and the initial data set is transmitted to the intelligent controller to provide initial state data reference. The intelligent controller is used as a control center and has the capability of data processing and control instruction generation, and an initial state trigger database is stored in the intelligent controller, wherein the database contains a plurality of groups of initial data with different parameters and corresponding initial response control information. Each group of initial data corresponds to an initial system state, and the initial response control information is a control mode in the state.
After receiving the initial data set, the intelligent controller can find initial data which is most matched or is close to the initial data set in the initial trigger database. And then, corresponding initial response control information is fetched, the initial response control information is associated with a time window, response control information is generated and sent to the response device. The setting of the time window is determined according to the change rate of the system parameters and the control effect, so that the optimal system control is realized. And after receiving the response control information, the response device executes corresponding control actions in a specified time window period to control or regulate the intelligent oil fume purifying equipment.
Continuously collecting the oil smoke concentration of an input port through a sensing module in the time window, constructing window feedback data, and synchronizing the window feedback data to the intelligent controller;
in the embodiment of the application, as shown in fig. 2, in a time window designated by response control information, the smoke concentration of the input port is continuously collected through the sensing module of the input port, window feedback data is constructed, and the window feedback data is synchronously transmitted to the intelligent controller. The time window is a time interval for the response device to execute corresponding control actions, in the time interval, in order to monitor the control effect, the sensing module of the input port monitors and collects the oil smoke concentration of the input port in real time during the time window to obtain a series of oil smoke concentration values, and the values form window feedback data to reflect the change condition of the oil smoke concentration of the input port under the control action of the response device. The window feedback data set is then synchronously transmitted to the intelligent controller. The synchronous transmission is to enable the intelligent controller to obtain the latest window feedback data set in the shortest delay time for subsequent control judgment and adjustment.
The smoke concentration acquisition window of the input port is continuously monitored, feedback data are fed back and synchronously transmitted to the intelligent controller in a time interval when the response device executes control actions, so that the intelligent controller can master the change of the system state in the first time, and judgment, control and adjustment are timely carried out.
Calculating the proportion of flowing oil smoke according to the window feedback data and the response control information by the intelligent controller, and generating steady-state response data according to a calculation result;
in the embodiment of the application, firstly, the intelligent controller receives window feedback data, wherein the window feedback data comprises acquisition values of the smoke concentration of the input port in a time window appointed by response control information, and the acquisition values reflect the change condition of the smoke concentration of the input port under the action of corresponding control action executed by the response device. Meanwhile, the intelligent controller extracts response control information to obtain a control mode implemented by the response device in a time window, such as increasing or decreasing the rotating speed of a fan, increasing or weakening the strength of a purifying electric field, opening or closing a small valve, and the like. Then, the intelligent controller correlates and calculates and analyzes the oil smoke concentration collection value in the window feedback data and the response control information, for example, judges whether the oil smoke concentration value is increased or decreased; whether the rate and extent of increase or decrease corresponds to the magnitude of the adjustment responsive to the manner in which the device is controlled. Through calculation and analysis, the change proportion of the smoke flowing state of the input port, namely the flowing smoke proportion, is obtained under the action of a specified time window and a corresponding control mode, and the smoke concentration is reduced by 30 percent.
And then, the intelligent controller generates steady-state response data according to the calculation result of the proportion of the flowing smoke, and the steady-state response data are used for indicating the response device to correspondingly adjust so as to achieve the steady control state of the intelligent equipment. For example, if the flow ratio shows that the soot concentration increasing effect is poor, the steady state response data instructs the responding device to further increase the fan speed; if the soot concentration drops too fast, the steady state response data may instruct the response means to decrease the valve opening.
The mobile oil smoke proportion is obtained by judging the change condition of the oil smoke concentration under the action of the response control information, and the steady state response data corresponding optimization adjustment response device is generated, so that the stable control of the intelligent oil smoke purifying equipment is realized, and the continuity, adaptability and intellectualization of the intelligent oil smoke purifying equipment to oil smoke control are ensured.
Transmitting the steady state response data to the response device for response control, and synchronously starting the sensing module of the output port for output monitoring to construct compensation monitoring data;
in the embodiment of the application, firstly, steady state response data is sent to the response device, and the steady state response data is used for indicating the response device to adjust corresponding control actions so as to achieve a steady control state of the intelligent equipment. After receiving the steady state response data, the response device analyzes the data and adjusts corresponding control actions, such as increasing the rotating speed of the fan or reducing the opening of the valve, so as to adapt to system changes and maintain stable control. And the sensing module of the output port sends an enabling instruction and starts the sensing module to monitor and collect data on the output port while sending steady-state response data. After receiving the starting instruction, the sensing module of the output port detects the data of each key parameter of the output port in real time, such as the concentration, temperature, flow and the like of the output flue gas, and a series of real-time acquisition values are obtained. The real-time acquisition values are then formed into compensation monitoring data by the sensing module, including data of changes in the output port parameters after the response device adjusts the control actions. For example, after the rotation speed of the fan is increased, the flow speed of the output flue gas is also increased; or after the opening of the valve is reduced, the output flue gas flow is also reduced.
And synchronizing the compensation monitoring data to the intelligent controller, performing purification treatment evaluation through the intelligent controller, generating compensation parameters, and performing intelligent control of the response device according to the compensation parameters.
In the embodiment of the application, firstly, the compensation monitoring data set is synchronously transmitted to the intelligent controller, so that the intelligent controller can obtain the real-time state data of the output port in the shortest time. After receiving the compensation monitoring data set, the intelligent controller extracts the acquisition values, such as output smoke concentration, temperature and the like, in the compensation monitoring data set for purification treatment evaluation. Then, the intelligent controller detects and judges the collected value according to the preset purification treatment standard, such as the output smoke concentration limit value and the like, and evaluates whether the purification treatment effect reaches the standard. If the evaluation result shows that the acquired value reaches or is superior to the standard, the response device is indicated to achieve the ideal effect by the control adjustment at this time, and the intelligent controller can continuously maintain the current control mode. If the evaluation result shows that the acquisition value does not reach the standard, the method indicates that the control mode of the response device needs to be optimally adjusted. At this time, the intelligent controller calculates and generates corresponding compensation parameters based on the evaluation result, which are specific control parameters for correcting and optimizing the response device, so that the control parameters can reach the purification treatment standard and the optimal control effect. And then, the intelligent controller sends the generated compensation parameters to the response device, and the response device is instructed to execute corresponding control adjustment according to the compensation parameters, such as increasing the rotating speed of a fan to accelerate the flow and purification efficiency of the oil smoke, closing a small valve to reduce the flow of the oil smoke, and the like. And after receiving the compensation parameters, the response device adjusts corresponding control parameters so as to meet the standard requirements. The intelligent equipment stably works in the optimal state by continuously monitoring, evaluating and feeding back the continuous optimal control mode, so that the technical effects of improving the control precision, enhancing the control intelligence of the equipment and improving the control efficiency are achieved.
Further, the embodiment of the application further comprises:
performing data segmentation on the window feedback data, wherein the segmentation of the data segmentation refers to the prediction stable node of the time window;
performing data analysis on the segmented data after the stationary nodes are predicted, and determining average flowing oil smoke proportion and average line set median values, wherein the average line set median values comprise positive set median values and negative set median values;
and generating a mode response constraint according to the control data, and determining steady-state response data by combining the average flowing oil smoke proportion and the average line set median.
In a possible implementation manner, in order to improve control accuracy and response speed of the intelligent device, first, data segmentation processing is performed on window feedback data, segmentation of the data segmentation refers to a prediction stable node in a time window, the prediction stable node predicts a time point when the oil smoke concentration of an input port tends to be stable according to response control information, and the prediction stable node is stored in an initial state trigger database corresponding to the response control information. After the segmented data are obtained, in order to accurately judge the change trend of the input oil smoke, data analysis is performed on the segmented data after the stationary nodes are predicted, so as to determine the average flowing oil smoke proportion and the average line concentration value. Wherein the average flowing oil smoke ratio is the oil smoke concentration change ratio of the input oil smoke in a time window; the average line set value comprises a positive set value and a negative set value, wherein the positive set value represents the data point density higher than the average line in the segmentation data, and the negative set value represents the data point density lower than the average line and is used for judging whether the oil smoke concentration is in an ascending trend or a descending trend.
Then, drawing a lampblack concentration change curve of the segmentation data after the stationary node is predicted, and dividing lampblack concentration at the tail end of the lampblack concentration change curve by lampblack concentration in window feedback data to obtain average flowing lampblack proportion; meanwhile, calculating the average oil smoke concentration of the segmentation data after predicting the stable nodes, taking the average oil smoke concentration as an average line, and counting the number of data points higher than the average line and the number of data points lower than the average line in the segmentation data. The ratio of the number of data points above the average line to the total number of points of the segmented data represents the positive set median; the ratio of the number of data points below the average line to the total number of points of the segmented data represents the negative set median. If the positive concentration value is larger than the negative concentration value, the oil smoke concentration in the segmentation data is mainly higher than the average line, and the oil smoke concentration belongs to the rising trend; if the negative concentration value is larger than the positive concentration value, the oil smoke concentration in the segmentation data is mainly lower than the average line, and the oil smoke concentration belongs to the descending trend.
And finally, generating corresponding mode response constraints according to the control data, such as flow change limit values corresponding to the valve opening, and synchronously comparing the average flowing smoke proportion and the average line set value with the mode response constraints. If the constraint is exceeded, the control is not ideal, and new steady state response data is required to be sent for optimization. If within the constraints, the current control mode is continuously maintained or slightly adjusted. After the new steady state response data is sent, a new round of window feedback data set acquisition, segmentation and analysis are started, and the optimization is continuously carried out until the optimal steady control effect is achieved.
The window feedback data is divided and data analyzed to obtain specific change parameters of the input oil smoke, and stable response control data are determined according to response constraints and change parameters of different control modes, so that the intelligent equipment can accurately adjust in real time according to the change of the input conditions, and the control effect of high precision and high response speed is achieved.
Further, the embodiment of the application further comprises:
comparing the response mode constraint database, and determining an adjustment factor corresponding to the mode response constraint;
constructing a knowledge graph of oil smoke and control, and performing calibration control matching according to the average flowing oil smoke proportion and the average line set median through the knowledge graph to generate a calibration control matching result;
and compensating the calibration control matching result based on the adjustment factor to determine steady-state response data.
In a preferred embodiment, to further improve the accuracy of the steady state response data, the response pattern constraint database is first compared to determine the adjustment factor to which the pattern response constraint corresponds. The response mode constraint database stores the control parameter range and the adjustment factor of the response device under different control modes. The adjustment factor is a correction value for the control parameter range in consideration of the external environment change and the machine error. After determining the mode response constraints, the lookup database finds the corresponding adjustment factors to correct the subsequently generated steady state response data.
Then, a knowledge graph of the oil smoke and the control is constructed, and the knowledge graph establishes a mapping relation among the characteristic parameters of the oil smoke, the control mode and the control parameters of the response device by correlating a large amount of historical data. By utilizing the mapping relation, the most matched control parameters in the historical control data can be directly searched through the new average flowing oil smoke proportion and the average line concentration value and used as a calibration control matching result. And then, based on the obtained adjustment factors, compensating and correcting the calibration control matching result, and finally determining steady-state response data. And then, the corrected steady-state response data is sent to a response device, so that the control precision degradation caused by external interference and mechanical errors is reduced to the greatest extent, and the robustness of the system is improved.
Further, the embodiment of the application further comprises:
detecting an external signal of the intelligent controller, and constructing a communication line of an external sensor according to a detection result;
and receiving line feedback data of the communication line, carrying out space oil smoke evaluation on the line feedback data, carrying out fume hood angle adjustment of the fume collecting hood according to the space oil smoke evaluation result, and synchronously adjusting control parameters of the response device.
In a possible embodiment, in order to expand the control range of the system and improve the adaptability to the environment, external signal detection of the intelligent controller is performed to detect other parameters in the external environment, such as temperature, humidity, wind speed, etc. And constructing a communication line for connecting the external sensor with the system according to the detection result. Firstly, environmental parameters closely related to oil smoke control are selected, and the change of the parameters can significantly influence the control effect of the system, such as temperature, humidity, wind speed and the like; then determining the detection range and the precision of the parameters, and selecting a proper sensor for parameter detection; subsequently, build the intercommunication circuit, be connected with intelligent device with relevant sensor, receive the data real-time supervision environment change of gathering, this intercommunication circuit includes wired electrical connection and wireless network connection, ensures that circuit stability is high, delay is low, satisfies the real-time acquisition demand to environmental data.
Then, through the built communication line, the intelligent equipment receives environmental parameter data acquired by each sensor in real time, namely line feedback data, and then, the line feedback data is checked and converted to be in accordance with the data format of the system; removing abnormal data and noise to obtain more accurate environmental parameter measurement values; thirdly, based on the data characteristics and the change trend of the environmental parameters, a mapping model between the parameters is established by utilizing a machine learning algorithm, for example, the increase of temperature, humidity and wind speed can enhance the oil smoke rising and disturbance; the dynamic mapping relation between the environment and the oil smoke distribution is obtained by training historical data.
Then, receiving newly acquired line feedback data, inputting the newly acquired line feedback data into a mapping model, predicting the influence of the current environmental parameter change on the oil smoke distribution by the model, namely, a space oil smoke evaluation result, for example, judging that the environmental parameter change causes oil smoke accumulation on the right side of a flue by the model, and providing a theoretical basis for subsequent space control; and then, according to the evaluation result of the space oil smoke, the intelligent processor sends a control command to the fume collecting hood, for example, the angle of the right fume cover plate is increased, so that more oil smoke is guided to flow to the left side, and the effect of balanced distribution is achieved. Meanwhile, control parameters of a response device such as a fan are correspondingly adjusted, for example, the rotating speed of the right fan is increased, and the flow speed of the right oil smoke is accelerated, so that space control is realized by matching with the angle adjustment of the smoke hood. And meanwhile, detecting a control effect, and if the evaluation result shows that the oil smoke distribution does not reach an expected target, continuing to optimize a mapping model, adjusting fan parameters or introducing other response devices to act together until the environment parameters and the oil smoke reach an equilibrium state. The control range of the system is expanded from the interior of the fume collecting hood to the exterior through the environment parameter detection and evaluation mechanism, and timely response is made to environment change, so that efficient and omnibearing management of fume is realized.
Further, the embodiment of the application further comprises:
mapping the steady-state response data to the oil fume treatment effect, and constructing a purification standard;
performing deviation analysis of the purification control on the compensation monitoring data and the purification standard to generate the compensation parameter, wherein the compensation parameter is a feedback parameter of the purification control;
and performing intelligent control of the response device through the compensation parameters.
In one possible implementation, in order to detect and evaluate the purifying control effect of the system, high-precision closed-loop control is realized, and the steady-state response data is mapped to the oil fume treatment effect, so as to construct a purifying standard. Firstly, preprocessing steady-state response data, such as removing abnormal values, smoothing and the like, so as to improve the stability and accuracy of the data; meanwhile, according to the purification requirements and environmental conditions, proper purification indexes are set, including indexes such as oil smoke concentration, purification efficiency, treatment time and the like; and then, evaluating the oil fume treatment effect of each steady state response data, and setting a purification index reached by each steady state response data by an expert group to generate a purification standard. The purification standard is that the intelligent oil fume purification equipment reaches the ideal requirement of oil fume purification under the control of steady state response data, and is used for guiding the purification control of the oil fume purification equipment.
And then, monitoring the output port through a sensing module of the output port to obtain compensation monitoring data, preprocessing the compensation monitoring data, such as removing noise, smoothing and the like, so as to improve the accuracy and stability of the data, comparing and analyzing the preprocessed compensation monitoring data with a purification standard, and determining the difference between the actual purification effect and the expected purification effect. And then, generating compensation parameters according to the deviation analysis result, and adjusting control signals of the intelligent controller to the response device to realize more accurate fume purification.
Then, the intelligent controller adjusts the control signal of the response device according to the generated compensation parameter, and adjusts the parameters such as the intensity, the frequency, the time and the like of the control signal. The adjusted control signal is sent to a response device, and the response device realizes more accurate oil fume purifying operation according to the adjusted control signal. Meanwhile, the intelligent controller monitors feedback signals of the response device in real time, such as oil smoke concentration, temperature and the like, so as to verify control effects, and dynamically adjusts compensation parameters and control signals according to the change of the feedback signals so as to adapt to different oil smoke purification requirements and environmental conditions.
Further, the embodiment of the application further comprises:
judging whether the deviation analysis result meets a preset deviation threshold value or not;
if yes, generating a purification control alarm instruction, and carrying out purification control alarm on the intelligent equipment through the purification control alarm instruction.
In a possible implementation manner, the collected compensation monitoring data are compared with the purification standard in various indexes by using a difference value, a percentage and the like, the deviation degree is calculated to obtain a deviation analysis result, and then whether the deviation analysis result meets the requirement is judged according to a preset deviation threshold value. The preset deviation threshold value is the allowable maximum deviation range, and if the deviation displayed by the deviation analysis result exceeds the range, the current control effect cannot reach the ideal state, and a certain hidden danger exists. And if the deviation analysis result meets the preset deviation threshold value, the deviation degree is larger than the preset deviation threshold value, and the purification effect is not expected.
At this time, a purification control alarm instruction is generated, including a control instruction such as triggering an alarm lamp, giving an audible alarm, and the like. Then, the generated purification control alarm instruction is transmitted through a communication interface with the intelligent equipment, and after the intelligent equipment receives the purification control alarm instruction, corresponding purification control alarm is executed according to the instruction, and measures such as starting an alarm lamp, sending out an audible alarm and the like are taken to remind related personnel.
Further, the embodiment of the application further comprises:
step S741: determining a variable period node based on the steady state response data;
step S742: data updating is carried out on the variable period node, and the variable period node updating is carried out again according to steady state response data corresponding to the variable period node;
step S743: and performing intelligent control of the response device according to the periodically updated feedback data.
In a possible embodiment, the variable period node is a point in time when the device needs to update control parameters or adjust control strategies under certain control conditions. At these nodes, the control output is recalculated based on the most recent input data to accommodate the change in input. Judging the data change frequency of the input features by analyzing the historical steady-state response data, and setting a shorter control period for the control state corresponding to the input features with frequent change so as to respond to the input change in time; the slower changing input features set longer control periods without frequent updating to determine the variable period node.
Then, when the equipment works to a certain variable period node, the latest input data at the moment is collected in real time and used as the data updated by the node; and recalculating new steady state response data corresponding to the current input data based on the latest data to guide the response device to realize closed loop control. In addition to updating the steady state response data, a new variable period node is determined based on the new steady state response data for the next time data updating and variable period node determination are performed again.
The stability, performance and efficiency of intelligent oil smoke treatment are improved, and application requirements are met by determining the variable period node according to the steady state response data, updating the data at the variable period node, and executing intelligent control of the response device according to the updated data.
In summary, the intelligent control method for the equipment provided by the embodiment of the application has the following technical effects:
receiving control data of a control switch, starting intelligent equipment, and controlling a response device to start based on the control data so as to realize primary control and start of the equipment; synchronously calling a sensing module of the input port, acquiring initial state data of the fume collecting hood of the input port, constructing an initial state data set, and providing a reference basis for subsequent control; transmitting the initial state data set to an intelligent controller, generating response control information by the intelligent controller based on an initial state trigger database of the initial state data set, transmitting the response control information to a response device, and performing response control on the response device, wherein the response control information is window response control with a time window, and generating first-round control information according to initial environment parameters so as to realize primary response and adjustment of equipment; continuously collecting the oil smoke concentration of an input port through a sensing module in a time window, constructing window feedback data, synchronizing the window feedback data to an intelligent controller, and providing support data for subsequent control adjustment; according to the window feedback data and the response control information of the intelligent controller, the proportion of flowing oil smoke is calculated, steady state response data is generated according to the calculation result, the environmental change is analyzed, the control parameters are recalculated, and the stable operation of the equipment is ensured; transmitting steady state response data to a response device for response control, synchronously starting a sensing module of an output port for output monitoring, constructing compensation monitoring data, realizing stable control of equipment, and monitoring control effect; the compensation monitoring data are synchronized to the intelligent controller, the intelligent controller is used for purifying treatment and evaluation, compensation parameters are generated, intelligent control of the response device is executed according to the compensation parameters, the control parameters are further optimized, intelligent control of the equipment is perfected, and the technical effects of improving control accuracy, enhancing control intelligence of the equipment and improving control efficiency are achieved.
Example two
Based on the same inventive concept as the intelligent control method of an apparatus in the foregoing embodiment, as shown in fig. 3, an embodiment of the present application provides an intelligent control system of an apparatus, including:
the device control starting module 11 is used for receiving control data of a control switch, starting the intelligent device and controlling the response device to start based on the control data;
the initial data acquisition module 12 is used for synchronously calling the sensing module of the input port, acquiring the initial state data of the lampblack collecting hood of the input port, and constructing an initial state data set;
the device response control module 13 is configured to transmit the initial state data set to the intelligent controller, and the intelligent controller generates response control information based on an initial state trigger database of the initial state data set, and sends the response control information to the response device to perform response control on the response device, where the response control information is window response control with a time window;
the oil smoke concentration acquisition module 14 is used for continuously acquiring the oil smoke concentration of the input port through the sensing module in the time window, constructing window feedback data and synchronizing the window feedback data to the intelligent controller;
The oil smoke proportion calculation module 15 is used for calculating the proportion of flowing oil smoke according to the window feedback data and the response control information by the intelligent controller and generating steady-state response data according to a calculation result;
the output port detection module 16 is configured to send the steady state response data to the response device for response control, and synchronously enable the sensing module of the output port to perform output monitoring, so as to construct compensation monitoring data;
and the device intelligent control module 17 is used for synchronizing the compensation monitoring data to the intelligent controller, performing purification treatment evaluation through the intelligent controller, generating compensation parameters, and performing intelligent control of the response device according to the compensation parameters.
Further, the soot ratio calculation module 15 includes the following steps:
performing data segmentation on the window feedback data, wherein the segmentation of the data segmentation refers to the prediction stable node of the time window;
performing data analysis on the segmented data after the stationary nodes are predicted, and determining average flowing oil smoke proportion and average line set median values, wherein the average line set median values comprise positive set median values and negative set median values;
And generating a mode response constraint according to the control data, and determining steady-state response data by combining the average flowing oil smoke proportion and the average line set median.
Further, the soot ratio calculation module 15 further includes the following steps:
comparing the response mode constraint database, and determining an adjustment factor corresponding to the mode response constraint;
constructing a knowledge graph of oil smoke and control, and performing calibration control matching according to the average flowing oil smoke proportion and the average line set median through the knowledge graph to generate a calibration control matching result;
and compensating the calibration control matching result based on the adjustment factor to determine steady-state response data.
Further, the device intelligent control module 17 includes the following steps:
detecting an external signal of the intelligent controller, and constructing a communication line of an external sensor according to a detection result;
and receiving line feedback data of the communication line, carrying out space oil smoke evaluation on the line feedback data, carrying out fume hood angle adjustment of the fume collecting hood according to the space oil smoke evaluation result, and synchronously adjusting control parameters of the response device.
Further, the device intelligent control module 17 further comprises the following steps:
Mapping the steady-state response data to the oil fume treatment effect, and constructing a purification standard;
performing deviation analysis of the purification control on the compensation monitoring data and the purification standard to generate the compensation parameter, wherein the compensation parameter is a feedback parameter of the purification control;
and performing intelligent control of the response device through the compensation parameters.
Further, the device intelligent control module 17 further comprises the following steps:
judging whether the deviation analysis result meets a preset deviation threshold value or not;
if yes, generating a purification control alarm instruction, and carrying out purification control alarm on the intelligent equipment through the purification control alarm instruction.
Further, the device intelligent control module 17 further comprises the following steps:
determining a variable period node based on the steady state response data;
data updating is carried out on the variable period node, and the variable period node updating is carried out again according to steady state response data corresponding to the variable period node;
and performing intelligent control of the response device according to the periodically updated feedback data.
Any of the steps of the methods described above may be stored as computer instructions or programs in a non-limiting computer memory and may be called by a non-limiting computer processor to identify any method for implementing an embodiment of the present application, without unnecessary limitations.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present application without departing from the scope of the application. Thus, the present application is intended to include such modifications and alterations insofar as they come within the scope of the application or the equivalents thereof.
Claims (8)
1. The intelligent control method of the equipment is characterized by being applied to intelligent equipment, wherein the intelligent equipment comprises an input port, an output port, an intelligent controller and a response device, the input port and the output port are both provided with a sensing module, and the intelligent controller is in communication connection with the response device and the sensing module, and the method comprises the following steps of:
receiving control data of a control switch, starting the intelligent equipment, and controlling the response device to start based on the control data;
synchronously calling a sensing module of the input port, and acquiring initial state data of the lampblack collecting hood of the input port to construct an initial state data set;
transmitting the initial state data set to the intelligent controller, generating response control information based on an initial state trigger database of the initial state data set by the intelligent controller, transmitting the response control information to the response device, and performing response control on the response device, wherein the response control information is window response control with a time window;
Continuously collecting the oil smoke concentration of an input port through a sensing module in the time window, constructing window feedback data, and synchronizing the window feedback data to the intelligent controller;
calculating the proportion of flowing oil smoke according to the window feedback data and the response control information by the intelligent controller, and generating steady-state response data according to a calculation result;
transmitting the steady state response data to the response device for response control, and synchronously starting the sensing module of the output port for output monitoring to construct compensation monitoring data;
and synchronizing the compensation monitoring data to the intelligent controller, performing purification treatment evaluation through the intelligent controller, generating compensation parameters, and performing intelligent control of the response device according to the compensation parameters.
2. The method of claim 1, wherein the method further comprises:
performing data segmentation on the window feedback data, wherein the segmentation of the data segmentation refers to the prediction stable node of the time window;
performing data analysis on the segmented data after the stationary nodes are predicted, and determining average flowing oil smoke proportion and average line set median values, wherein the average line set median values comprise positive set median values and negative set median values;
And generating a mode response constraint according to the control data, and determining steady-state response data by combining the average flowing oil smoke proportion and the average line set median.
3. The method of claim 2, wherein the method further comprises:
comparing the response mode constraint database, and determining an adjustment factor corresponding to the mode response constraint;
constructing a knowledge graph of oil smoke and control, and performing calibration control matching according to the average flowing oil smoke proportion and the average line set median through the knowledge graph to generate a calibration control matching result;
and compensating the calibration control matching result based on the adjustment factor to determine steady-state response data.
4. The method of claim 1, wherein the method further comprises:
detecting an external signal of the intelligent controller, and constructing a communication line of an external sensor according to a detection result;
and receiving line feedback data of the communication line, carrying out space oil smoke evaluation on the line feedback data, carrying out fume hood angle adjustment of the fume collecting hood according to the space oil smoke evaluation result, and synchronously adjusting control parameters of the response device.
5. The method of claim 1, wherein the method further comprises:
Mapping the steady-state response data to the oil fume treatment effect, and constructing a purification standard;
performing deviation analysis of the purification control on the compensation monitoring data and the purification standard to generate the compensation parameter, wherein the compensation parameter is a feedback parameter of the purification control;
and performing intelligent control of the response device through the compensation parameters.
6. The method of claim 5, wherein the method further comprises:
judging whether the deviation analysis result meets a preset deviation threshold value or not;
if yes, generating a purification control alarm instruction, and carrying out purification control alarm on the intelligent equipment through the purification control alarm instruction.
7. The method of claim 1, wherein the method further comprises:
determining a variable period node based on the steady state response data;
data updating is carried out on the variable period node, and the variable period node updating is carried out again according to steady state response data corresponding to the variable period node;
and performing intelligent control of the response device according to the periodically updated feedback data.
8. An intelligent control system for a device, for implementing an intelligent control method for a device according to any one of claims 1-7, said system comprising:
The equipment control starting module is used for receiving control data of a control switch, starting the intelligent equipment and controlling the response device to start based on the control data;
the initial data acquisition module is used for synchronously calling the sensing module of the input port, acquiring the initial state data of the lampblack collecting hood of the input port, and constructing an initial state data set;
the device response control module is used for transmitting the initial state data set to the intelligent controller, and the intelligent controller generates response control information based on an initial state trigger database of the initial state data set, sends the response control information to the response device and carries out response control on the response device, wherein the response control information is window response control with a time window;
the oil smoke concentration acquisition module is used for continuously acquiring the oil smoke concentration of an input port through the sensing module in the time window, constructing window feedback data and synchronizing the window feedback data to the intelligent controller;
the oil smoke proportion calculation module is used for calculating the proportion of flowing oil smoke according to the window feedback data and the response control information by the intelligent controller and generating steady-state response data according to a calculation result;
The output port detection module is used for sending the steady-state response data to the response device for response control, synchronously starting the sensing module of the output port for output monitoring, and constructing compensation monitoring data;
and the intelligent control module is used for synchronizing the compensation monitoring data to the intelligent controller, performing purification treatment evaluation through the intelligent controller, generating compensation parameters, and performing intelligent control of the response device according to the compensation parameters.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311231176.3A CN116974236B (en) | 2023-09-22 | 2023-09-22 | Intelligent control method and system for equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311231176.3A CN116974236B (en) | 2023-09-22 | 2023-09-22 | Intelligent control method and system for equipment |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN116974236A true CN116974236A (en) | 2023-10-31 |
| CN116974236B CN116974236B (en) | 2023-12-08 |
Family
ID=88483535
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311231176.3A Active CN116974236B (en) | 2023-09-22 | 2023-09-22 | Intelligent control method and system for equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116974236B (en) |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| GB1340262A (en) * | 1971-04-02 | 1973-12-12 | Exxon Research Engineering Co | Automatic control of fluid catalytic cracking units |
| US6920874B1 (en) * | 2004-03-01 | 2005-07-26 | Robert Paul Siegel | Intelligent ventilating safety range hood |
| CN108151096A (en) * | 2017-12-26 | 2018-06-12 | 北京毫米科技有限公司 | A kind of range hood fan method for controlling number of revolution based on fuzzy control |
| CN109375592A (en) * | 2018-09-30 | 2019-02-22 | 南京中高知识产权股份有限公司 | A kind of fume purifying monitoring system Internet-based and its working method |
| WO2019226854A1 (en) * | 2018-05-23 | 2019-11-28 | Kellogg Brown & Root Llc | Regulatory controller for usage in a catalytic olefins unit |
| CN211905008U (en) * | 2020-02-21 | 2020-11-10 | 杭州豪牛科技有限公司 | Online automatic monitoring system platform for catering oil fume |
| CN113110309A (en) * | 2021-02-26 | 2021-07-13 | 江苏蓝创智能科技股份有限公司 | Online automatic monitoring and management system and method for catering oil fume |
| CN113280383A (en) * | 2021-06-02 | 2021-08-20 | 青岛海尔智慧厨房电器有限公司 | Range hood gear adjusting method and range hood |
| CN114422548A (en) * | 2021-12-30 | 2022-04-29 | 扬州万方科技股份有限公司 | Data sensing method in Internet of things |
| CN116379493A (en) * | 2023-05-24 | 2023-07-04 | 广东鸿智智能科技股份有限公司 | Lampblack treatment system and method applied to intelligent cooking electric cooker |
-
2023
- 2023-09-22 CN CN202311231176.3A patent/CN116974236B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| GB1340262A (en) * | 1971-04-02 | 1973-12-12 | Exxon Research Engineering Co | Automatic control of fluid catalytic cracking units |
| US6920874B1 (en) * | 2004-03-01 | 2005-07-26 | Robert Paul Siegel | Intelligent ventilating safety range hood |
| CN108151096A (en) * | 2017-12-26 | 2018-06-12 | 北京毫米科技有限公司 | A kind of range hood fan method for controlling number of revolution based on fuzzy control |
| WO2019226854A1 (en) * | 2018-05-23 | 2019-11-28 | Kellogg Brown & Root Llc | Regulatory controller for usage in a catalytic olefins unit |
| CN109375592A (en) * | 2018-09-30 | 2019-02-22 | 南京中高知识产权股份有限公司 | A kind of fume purifying monitoring system Internet-based and its working method |
| CN211905008U (en) * | 2020-02-21 | 2020-11-10 | 杭州豪牛科技有限公司 | Online automatic monitoring system platform for catering oil fume |
| CN113110309A (en) * | 2021-02-26 | 2021-07-13 | 江苏蓝创智能科技股份有限公司 | Online automatic monitoring and management system and method for catering oil fume |
| CN113280383A (en) * | 2021-06-02 | 2021-08-20 | 青岛海尔智慧厨房电器有限公司 | Range hood gear adjusting method and range hood |
| CN114422548A (en) * | 2021-12-30 | 2022-04-29 | 扬州万方科技股份有限公司 | Data sensing method in Internet of things |
| CN116379493A (en) * | 2023-05-24 | 2023-07-04 | 广东鸿智智能科技股份有限公司 | Lampblack treatment system and method applied to intelligent cooking electric cooker |
Non-Patent Citations (1)
| Title |
|---|
| 秦理;: "基于神经网络的智能变频抽油烟机的研究与实现", 电子设计工程, no. 14 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN116974236B (en) | 2023-12-08 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP6259706B2 (en) | System and method for reducing transmission from a wireless process controller | |
| WO2010118091A2 (en) | Line noise analysis and detection and measurement error reduction | |
| CN201347868Y (en) | Industry cycle water energy-saving control system | |
| CN116974236B (en) | Intelligent control method and system for equipment | |
| CN115327990A (en) | AI-based electrical equipment state monitoring and early warning model and method thereof | |
| CN111855896A (en) | Harmful gas monitoring system and method based on LoRa communication technology | |
| CN110769453B (en) | Multi-modal monitoring data dynamic compression control method under unstable network environment | |
| CN114019392B (en) | Single-chip voltage consistency and fault intervention system of fuel cell system | |
| CN113325904B (en) | Intelligent Internet of things fresh air system | |
| CN114117949A (en) | Intelligent sensing system and method for mine air flow parameters | |
| CN117057608A (en) | Enterprise safety production risk early warning system | |
| CN115373437A (en) | Conveyor belt speed regulation control system for coal flow detection | |
| CN203147905U (en) | Heat exchange station intelligent temperature control system based on PID-self-optimization controller | |
| CN213540687U (en) | Intelligent frequency conversion system of air compressor | |
| CN115759450B (en) | Carbon emission accounting early warning analysis system based on big data | |
| CN117171590B (en) | Intelligent driving optimization method and system for motor | |
| CN117713633B (en) | Variable frequency control adjusting method and system for servo motor | |
| CN116367108B (en) | Workshop safety monitoring system based on cloud computing | |
| CN115494725A (en) | Internet-based frequency converter anti-interference control method and system | |
| CN117559542B (en) | Distributed new energy group control group modulation system and method | |
| CN115853817B (en) | Video judging system for variable-frequency energy-saving safety protection of fan | |
| CN117846719A (en) | Automatic power adjustment method for generator | |
| CN117128162A (en) | Intelligent energy air compression station energy-saving control system and control method | |
| CN117811940A (en) | Print control instrument operation network quality detection and evaluation system based on data analysis | |
| CN117273402A (en) | Energy-saving management system and method for glass deep processing production line based on Internet of things technology |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |