CN110597214A - Operation action amount recognition method, system storage medium and electronic terminal - Google Patents
Operation action amount recognition method, system storage medium and electronic terminal Download PDFInfo
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- 238000003860 storage Methods 0.000 title claims description 6
- 230000008859 change Effects 0.000 claims abstract description 34
- 238000005245 sintering Methods 0.000 claims description 18
- 238000004590 computer program Methods 0.000 claims description 12
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- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 8
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- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 description 2
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/41865—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by job scheduling, process planning, material flow
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/32—Operator till task planning
- G05B2219/32252—Scheduling production, machining, job shop
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- 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]
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Abstract
The invention discloses an operation action amount identification method, which comprises the following steps: acquiring a real-time value of a control parameter within a period of time; comparing the difference value between the real-time value of the control parameter at the first moment and the real-time value of the control parameter at the second moment with a preset value, wherein the first moment is behind the second moment; if the difference value between the real-time value of the control parameter at the first moment and the real-time value of the control parameter at the second moment is larger than or equal to a preset value, calculating the average value of the real-time values of the control parameters in the first time period and the average value of the real-time values of the control parameters in the second time period; the starting time of the first time period is positioned after the first time, and the ending time of the second time period is positioned before the second time; and judging the type of the actual action quantity change according to the average value of the real-time values of the control parameters in the first time period and the average value of the real-time values of the control parameters in the second time period. The invention avoids the error caused by random disturbance through twice judgment and time delay operations.
Description
Technical Field
The present invention relates to a method for identifying an operation momentum, and more particularly, to a method and a system for identifying an operation motion momentum.
Background
Factors affecting production are numerous and broadly divided into two broad categories: status parameters and control parameters. There is also an interaction between the factors, but how and how much the factors affect each other are unknown, so the time and amount of change of each control parameter needs to be recorded to observe the effect of the change on other state parameters.
In the actual operation process, an operator needs to maintain the production stability by adjusting production control parameters, but the influence and influence weight of specific control parameters on other state parameters are judged only by experience, and sensitive quantitative analysis and visual operation cannot be achieved. Moreover, many actions are manual operations, so that misoperation cannot be avoided, and due to the characteristics of each type of equipment, the influence of each control parameter on the equipment has different degrees of time lag; it is difficult to track responsibility even if a malfunction is made.
Disclosure of Invention
In view of the above-mentioned shortcomings of the prior art, the present invention provides an operation motion amount recognition method and system, which are used to solve the shortcomings of the prior art.
To achieve the above and other related objects, the present invention provides an operation motion amount recognition method, including:
acquiring a real-time value of a control parameter;
comparing the difference value between the real-time value of the control parameter at the first moment and the real-time value of the control parameter at the second moment with a preset value, wherein the first moment is behind the second moment;
if the difference value between the real-time value of the control parameter at the first moment and the real-time value of the control parameter at the second moment is larger than or equal to the preset value, calculating the average value of the real-time values of the control parameters in the first time period and the second time period; wherein the starting time of the first time period is after or equal to the first time, and the ending time of the second time period is before or equal to the second time;
and judging the type of the actual action quantity change according to the average value of the real-time values of the control parameters in the first time period and the average value of the real-time values of the control parameters in the second time period.
Optionally, the category to which the amount of action changes belongs includes random perturbation and manual adjustment.
Optionally, the determining, according to the average value of the real-time values of the control parameters in the first time period and the average value of the real-time values of the control parameters in the second time period, a category to which the actual motion amount change belongs specifically includes:
and when the difference value between the average value of the real-time values of the control parameters in the first time period and the real-time value of the control parameters in the second time period is greater than or equal to the preset value, the actual action quantity is changed into manual adjustment.
Optionally, the control parameter includes at least one of: water addition amount, sintering machine speed, feeding amount and distribution parameters.
To achieve the above and other related objects, the present invention provides an operation motion amount recognition system, including:
the acquisition module is used for acquiring a real-time value of the control parameter;
the comparison module is used for comparing a difference value between a real-time value of the control parameter at a first moment and a real-time value of the control parameter at a second moment with a preset value, wherein the first moment is behind the second moment; if the difference value between the real-time value of the control parameter at the first moment and the real-time value of the control parameter at the second moment is larger than or equal to the preset value, calculating the average value of the real-time values of the control parameters in the first time period and the second time period; wherein the starting time of the first time period is after or equal to the first time, and the ending time of the second time period is before or equal to the second time;
and the judging module is used for judging the category of the actual action change according to the average value of the real-time values of the control parameters in the first time period and the average value of the real-time values of the control parameters in the second time period.
Optionally, the category to which the amount of action changes belongs includes random perturbation and manual adjustment.
Optionally, the determining, according to the average value of the real-time values of the control parameters in the first time period and the average value of the real-time values of the control parameters in the second time period, a category to which the actual motion amount change belongs specifically includes:
and when the difference value between the average value of the real-time values of the control parameters in the first time period and the real-time value of the control parameters in the second time period is greater than or equal to the preset value, the actual action quantity is changed into manual adjustment.
Optionally, the control parameter includes at least one of: water addition amount, sintering machine speed, feeding amount and distribution parameters.
To achieve the above and other related objects, the present invention provides a storage medium storing a computer program which, when executed by a processor, performs the method.
To achieve the above and other related objects, the present invention provides an electronic terminal, comprising: a processor and a memory;
the memory is used for storing computer programs, and the processor is used for executing the computer programs stored by the memory so as to enable the terminal to execute the method.
As described above, the operation action amount recognition method and system according to the present invention have the following advantageous effects:
the invention greatly avoids the error caused by the random disturbance of the actual value of the control parameter by judging the operation of adding the delay twice.
Drawings
FIG. 1 is a flow chart of an operation action amount recognition method according to an embodiment of the present invention;
FIG. 2 is a diagram illustrating operation action amount recognition according to an embodiment of the present invention;
FIG. 3 is a view showing combinations of operation amounts and state amounts in a sintering process;
FIG. 4 is a graph showing the time of change, the values before and after the change, the amount of change, and the real-time value of the status parameter at that time;
fig. 5 is a block diagram of an operation action amount recognition system according to an embodiment of the present invention.
Detailed Description
The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict.
It should be noted that the drawings provided in the following embodiments are only for illustrating the basic idea of the present invention, and the components related to the present invention are only shown in the drawings rather than drawn according to the number, shape and size of the components in actual implementation, and the type, quantity and proportion of the components in actual implementation may be changed freely, and the layout of the components may be more complicated.
Generally, the control parameters of the device can be divided into two types, the first type is a set value, and the second type is an actual value.
The operation action amount recognition method for the set value includes:
sampling the set action amount;
comparing the sampling value obtained by the first sampling with the sampling value obtained by the second sampling;
and if the sampling value obtained by the first sampling is inconsistent with the sampling value obtained by the second sampling or the change value is within a certain range, judging that one action change occurs.
In an embodiment, the identification method further includes recording and displaying the sampling value obtained by the first sampling and the sampling value obtained by the second sampling and the variation value.
In one embodiment, a trend graph of the set value of the control parameter may also be displayed, and the trend graph of the control parameter describes the variation trend and the corresponding variation of the control parameter within a specified time range.
An operation motion amount recognition system, the recognition system comprising:
the comparison module is used for comparing the sampling value obtained by the first sampling with the sampling value obtained by the second sampling;
the judging module is used for judging whether the sampling value acquired by the first sampling is consistent with the sampling value acquired by the second sampling; and if the sampling value acquired by the first sampling is inconsistent with the sampling value acquired by the second sampling or the variation value is within a certain range, judging that one action variation occurs.
In an embodiment, the identification system further includes a recording module, configured to record a change value between the set motion amount obtained by the first sampling and the set motion amount obtained by the second sampling.
For the actual value, the actual value is always in a fluctuation state in the production process, and the fluctuation amplitude is unstable (sometimes, the amplitude of random disturbance is even larger than the variable quantity of manual regulation), and the factors make it difficult to judge whether the parameter change is caused by disturbance or belongs to manual regulation. Therefore, as shown in fig. 1, the present embodiment provides an operation motion amount recognition method, including:
s11, acquiring a real-time value of the control parameter;
s12 comparing a difference between a real-time value of the control parameter at a first time and a real-time value of the control parameter at a second time with a preset value, wherein the first time is after the second time;
s13, if the difference between the real-time value of the control parameter at the first time and the real-time value of the control parameter at the second time is greater than or equal to the preset value, calculating an average value of the real-time values of the control parameters in the first time period and the second time period; wherein the starting time of the first time period is after or equal to the first time, and the ending time of the second time period is before or equal to the second time;
s14 determines the type to which the actual motion amount change belongs, based on the average value of the real-time values of the control parameters in the first time period and the average value of the real-time values of the control parameters in the second time period.
The following describes steps S11 to S14 in detail.
In step S11, it is necessary to maintain the mapping relationship between the time and the data while acquiring the real-time values of the control parameters.
The real-time value may be received from an industrial device, and the industrial device may be a Programmable Logic Controller (PLC), a Remote Terminal Unit (RTU), a sensor, or the like.
The real-time values of the control parameters are transmitted and stored in real time, and therefore, the real-time values of the control parameters can also be received from the data storage device. The industrial Data storage device may be an industrial server, such as a Supervisory Control And Data Acquisition (SCADA) server, or may be a disk array.
In step S12, the second time is before the first time, for example, the first time is denoted by T, and then the second time may be denoted by T-1. The second time period is before the first time period, for example, the starting time of the first time period is after or equal to the first time, and the ending time of the second time period is before or equal to the second time. Specifically, the end time of the second period is t (n-m), and the start time of the first period is t (n + m).
In one embodiment, the categories to which the motion vector changes belong include stochastic perturbation and manual adjustment. When the change of the control parameter is judged to belong to manual regulation or random disturbance, the data of each period needs to be judged cycle by cycle.
In an embodiment, the determining, according to the average value of the real-time values of the control parameters in the first time period and the average value of the real-time values of the control parameters in the second time period, the category to which the actual motion amount change belongs specifically includes:
and when the difference value between the average value of the real-time values of the control parameters in the first time period and the real-time value of the control parameters in the second time period is greater than or equal to a preset value, the actual action quantity is changed into manual adjustment. The preset value is preset and can be set according to requirements. And if the difference value between the average value of the real-time values of the control parameters in the first time period and the real-time value of the control parameters in the second time period is smaller than a preset value, the change of the actual action quantity belongs to random disturbance.
In one embodiment, a visual display of the trend graph of the actual values of the control parameters may also be made. The control parameter trend graph describes the trend of the control parameter and the corresponding amount of change over a specified time range.
In one embodiment, sintering is taken as an example for explanation.
Sintering is an important link in the iron-making production process, iron-containing materials, flux, fuel, other additives and the like are uniformly mixed and granulated according to a certain proportion, and sintering is carried out through trolley air draft to form sinter with certain strength and performance. The sintered ore smelting is used, and the method has important significance for improving the yield, reducing the fuel ratio, improving the air permeability in the furnace and ensuring the stable and smooth operation of the blast furnace.
For sintering, there are many factors that affect the sintering production, and the factors are roughly classified into two categories: status parameters and control parameters. The state parameters comprise the moisture of the mixed ore, the mixture ratio of raw materials, the speed of a trolley, the temperature of an air box, the temperature of BTP (blast furnace dust), the negative pressure of a large flue, the temperature of the large flue and the like; the control parameters comprise water adding amount, sintering machine speed, material loading amount, material distribution parameters and the like.
Wherein the water adding amount comprises the steps of uniformly mixing the water adding amount, automatically correlating the uniformly mixed ore moisture, the secondary mixed moisture, the return ore ratio and the quicklime ratio; the sintering machine speed comprises a sintering machine speed automatic correlation machine head stock bin groove position, a BTP temperature, an air box pressure, a large flue temperature and a large flue negative pressure; the feeding amount comprises a feeding amount automatic correlation machine head bin groove position, a sintering machine speed, a BTP position, a BTP temperature, an air box pressure, a large flue temperature and a large flue negative pressure; the material distribution parameters comprise material distribution parameters which are automatically associated with hearth negative pressure, BTP position, BTP temperature, air box pressure, large flue temperature and large flue negative pressure.
The present embodiment takes the following steps to identify the set values of the control parameters: detecting the value of the designated control parameter, comparing the value of each moment with the value of the previous moment, and if the values are not equal, judging that the parameter set value is changed at the moment.
The present embodiment takes the following steps to identify the set values of the control parameters: referring to fig. 2, a curve represents a variation trend of a certain control parameter in a period of time, a sampling period is minutes, when a variation amount of an actual value t (n) captured at a time point after a certain point is greater than or equal to a preset value Δ than an actual value t (n-1) captured at a previous time point t (n-1), an average Q1 of the point in a period of p minutes from the time point t (n + m) after the time point t (n) is calculated, and an average Q2 of p minutes from the time point t (n-m) before the time point t (n) is calculated, wherein m is greater than or equal to 1. If | Q2-Q1| ≧ Δ, it is determined that the parameter variation occurred at t (n) at this time, and the variation belongs to manual adjustment, and the variation amount is Q2-Q1, and the latest value of the other state parameters at this time point t (n) is recorded.
After the change of the control parameters is identified, the invention also makes a visual display on the changed control parameters and the state parameters at the change moment through the data table and the trend chart.
The combination display of the action amount and the state amount of the sintering process is shown in fig. 3, and includes but is not limited to the automatic association of the blending ore moisture, the secondary blending moisture, the return ore ratio and the quicklime ratio; the speed of the sintering machine is automatically related to the bin groove position of the machine head, the BTP position, the BTP temperature, the air box pressure, the large flue temperature and the large flue negative pressure; the loading amount is automatically related to a machine head stock bin groove position, the sintering machine speed, the BTP position, the BTP temperature, the air box pressure, the large flue temperature and the large flue negative pressure; the material distribution parameters are automatically related to the hearth negative pressure, the BTP position, the BTP temperature, the air box pressure, the large flue temperature and the large flue negative pressure.
As shown in fig. 4, the data table can visually display the time of change of the control parameter, the values before and after the change, the amount of change, and the real-time value of the state parameter at that time. The trend graph analysis can facilitate a user to check data of the control parameters and the state parameters in 10 minutes before and after the change time, and the user can perform interactive analysis such as longitudinal axis switching, curve normalization, parameter filtering and the like in the trend graph, so that the relationship between the change degree of the control parameters and the change trend of the state parameters can be more intuitively found.
As shown in fig. 5, the present invention provides an operation motion amount recognition system including:
the acquisition module 11 is used for acquiring a real-time value of the control parameter;
a comparing module 12, configured to compare a difference between a real-time value of the control parameter at the first time and a real-time value of the control parameter at the second time with a preset value; if the difference value between the real-time value of the control parameter at the first moment and the real-time value of the control parameter at the second moment is larger than or equal to the preset value, calculating the average value of the real-time values of the control parameters in the first time period and the second time period; wherein the starting time of the first time period is after or equal to the first time, and the ending time of the second time period is before or equal to the second time;
and the judging module 13 is configured to judge the category to which the actual motion amount change belongs according to the average value of the real-time values of the control parameters in the first time period and the average value of the real-time values of the control parameters in the second time period.
In one embodiment, the categories to which the motion vector changes belong include stochastic perturbation and manual adjustment.
In an embodiment, the determining, according to the average value of the real-time values of the control parameters in the first time period and the average value of the real-time values of the control parameters in the second time period, the category to which the actual motion amount change belongs specifically includes:
and when the difference value between the average value of the real-time values of the control parameters in the first time period and the real-time value of the control parameters in the second time period is greater than or equal to the preset value, the actual action quantity is changed into manual adjustment.
In one embodiment, the control parameter includes at least one of: water addition amount, sintering machine speed, feeding amount and distribution parameters.
Since the embodiment of the apparatus portion and the embodiment of the method portion correspond to each other, please refer to the description of the embodiment of the method portion for the content of the embodiment of the apparatus portion, which is not repeated here.
The invention greatly avoids the error caused by the random disturbance of the control parameter by two times of judgment and time delay, and the system has high accuracy on the parameter adjustment judgment of an operator by the feedback obtained in the actual production.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus/terminal device and method may be implemented in other ways. For example, the above-described embodiments of the apparatus/terminal device are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments may be implemented. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may comprise any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a Random Access Memory (RAM), an electrical carrier signal, a telecommunications signal, a software distribution medium, etc.
The foregoing embodiments are merely illustrative of the principles and utilities of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.
Claims (10)
1. An operation motion amount recognition method, characterized by comprising:
acquiring a real-time value of a control parameter;
comparing the difference value between the real-time value of the control parameter at the first moment and the real-time value of the control parameter at the second moment with a preset value, wherein the first moment is behind the second moment;
if the difference value between the real-time value of the control parameter at the first moment and the real-time value of the control parameter at the second moment is larger than or equal to the preset value, calculating the average value of the real-time values of the control parameters in the first time period and the average value of the real-time values of the control parameters in the second time period; wherein the starting time of the first time period is after or equal to the first time, and the ending time of the second time period is before or equal to the second time;
and judging the type of the actual action quantity change according to the average value of the real-time values of the control parameters in the first time period and the average value of the real-time values of the control parameters in the second time period.
2. The operation motion amount recognition method according to claim 1, wherein the motion amount variation belongs to a category including random disturbance and manual adjustment.
3. The operation motion amount recognition method according to claim 1, wherein the determining a category to which an actual motion amount change belongs based on the average value of the real-time values of the control parameters in the first time period and the average value of the real-time values of the control parameters in the second time period specifically includes:
and when the difference value between the average value of the real-time values of the control parameters in the first time period and the real-time value of the control parameters in the second time period is greater than or equal to the preset value, the actual action quantity is changed into manual adjustment.
4. The operation motion amount recognition method according to claim 1, wherein the control parameter includes at least one of: water addition amount, sintering machine speed, feeding amount and distribution parameters.
5. An operation motion amount recognition system, characterized by comprising:
the acquisition module is used for acquiring a real-time value of the control parameter;
the comparison module is used for comparing a difference value between a real-time value of the control parameter at a first moment and a real-time value of the control parameter at a second moment with a preset value, wherein the first moment is behind the second moment; if the difference value between the real-time value of the control parameter at the first moment and the real-time value of the control parameter at the second moment is larger than or equal to the preset value, calculating the average value of the real-time values of the control parameters in the first time period and the average value of the real-time values of the control parameters in the second time period; wherein the starting time of the first time period is after or equal to the first time, and the ending time of the second time period is before or equal to the second time;
and the judging module is used for judging the category of the actual action change according to the average value of the real-time values of the control parameters in the first time period and the average value of the real-time values of the control parameters in the second time period.
6. The operation motion amount recognition system according to claim 5, wherein the motion amount variation belongs to a category including random disturbance and manual adjustment.
7. The operation motion amount recognition system according to claim 5, wherein the determining of the category to which the actual motion amount change belongs based on the average value of the real-time values of the control parameters in the first time period and the average value of the real-time values of the control parameters in the second time period specifically includes:
and when the difference value between the average value of the real-time values of the control parameters in the first time period and the real-time value of the control parameters in the second time period is greater than or equal to the preset value, the actual action quantity is changed into manual adjustment.
8. The operation motion amount recognition system according to claim 5, wherein the control parameter includes at least one of: water addition amount, sintering machine speed, feeding amount and distribution parameters.
9. A storage medium storing a computer program, characterized in that the computer program, when executed by a processor, performs the method according to any one of claims 1 to 4.
10. An electronic terminal, comprising: a processor and a memory;
the memory is for storing a computer program and the processor is for executing the computer program stored by the memory to cause the terminal to perform the method of any of claims 1 to 4.
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