CN118171965A - Bread production quality management method, system, equipment and readable storage medium - Google Patents
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Abstract
The invention discloses a bread production quality management method, a bread production quality management system, bread production quality management equipment and a readable storage medium, and relates to the technical field of bread production. The method comprises the following steps: acquiring data for bread production, acquiring a bread production process flow and bread production process equipment, acquiring historical parameter data of the equipment and historical quality data of the bread, acquiring the parameter data of the equipment in real time, sampling and detecting from each batch of bread, and detecting the quality of the bread. According to the invention, through setting the association diagram and the association equation set, the association between the equipment, the parameter data of the equipment and the bread quality data is established, meanwhile, the association degree between the bread quality data and the parameter data of the equipment is represented through the association equation set, when the parameter data deviate, the parameter data which can be used for adjustment are searched through the association diagram and the association equation set, and the parameter data are controlled, so that the calculated bread quality data can accord with a quality allowance range, and the bread quality is further ensured.
Description
Technical Field
The invention relates to the technical field of bread production, in particular to a bread production quality management method, a bread production quality management system, bread production quality management equipment and a readable storage medium.
Background
In the production process of bread in factories, large-scale mass production is mostly carried out by adopting mechanically set parameters.
In the industrial bread production process, although each process is precisely controlled by a computer system, the bread quality problem still occurs, in the process, a plurality of devices work cooperatively to participate in the bread production together, because of the plurality of and complexity of the devices, deviation of parameter data sometimes occurs, the deviation may be caused by normal abrasion, misoperation or other unpredictable reasons of the devices, the deviation has adverse effects on the bread quality, such as bad taste, small volume and low softness, and the like, and meanwhile, under the condition that the parameter data of the devices are normal, the bread quality may be influenced by the loss or damage of the devices, namely, the parameter display is normal, the bread quality is problematic.
Disclosure of Invention
The present invention is directed to a bread production quality management method, system, apparatus and readable storage medium, which solve the above-mentioned problems.
In order to achieve the above purpose, the present invention provides the following technical solutions: a bread production quality management method, the management method comprising:
acquiring data for bread production, acquiring equipment of a bread production process flow and a bread production process, acquiring historical parameter data of the equipment and historical quality data of bread, acquiring the parameter data of the equipment in real time, sampling and detecting from each batch of bread, detecting the quality of the bread, and acquiring the quality data of the bread;
Establishing ideal parameter data of the equipment and ideal quality data of bread;
establishing a parameter index range of the parameter data and a bread quality standard, and establishing a quality allowable deviation range of the bread quality standard based on ideal bread quality data; establishing a class of quality allowable range in the quality allowable deviation range;
Establishing a correlation diagram, namely establishing a correlation diagram A between equipment parameter data and equipment based on the bread production process flow and the historical parameter data of the equipment and the equipment of the bread production process, establishing a correlation diagram B between the equipment parameter data and the bread quality based on the historical parameter data and the historical bread quality data of the equipment, and establishing a correlation equation set between the equipment parameter data and the bread quality, wherein the correlation diagram A and the correlation diagram B are combined through the equipment parameter data to obtain a correlation diagram C;
Establishing and applying a reaction mechanism, wherein equipment in bread production runs according to ideal parameter data, sequentially detects actual parameter data according to a bread production process flow, acquires actual parameter data, acquires calculation parameter data, judges the magnitude relation of the calculation parameter data in a quality allowable range and a quality allowable deviation range respectively, and controls the parameter data by a correction method;
And establishing and applying a traceability mechanism, preparing a chart from the quality data change of the bread, judging the trend of the data change in the chart by a trend analysis method, judging whether the trend of the data change exceeds a quality allowable deviation range, and marking parameter data and equipment affecting quality based on an association equation set if the trend of the data change exceeds the quality allowable deviation range, wherein the marking is used for reminding personnel to overhaul the equipment.
Further, the method for establishing the association diagram A comprises the following steps: dividing the equipment into equipment A1, equipment A2 and equipment A3 according to the technological process, wherein the equipment AN and N are positive integers, reducing the connection among the equipment, acquiring parameter data in the equipment A1, the equipment A2 and the equipment A3, dividing the parameter data of the equipment into parameters A1, A2 and a3., wherein the parameters aM and M are positive integers, and establishing association between the equipment and the parameter data in the bread production technological process to obtain AN association diagram A.
Further, the method for establishing the association diagram B comprises the following steps: dividing mass data into mass B1, mass B2 and mass B3..mass BY, Y is a positive integer, establishing association between the mass data and parameters a1, a2 and a3...parameter aM to obtain an association diagram B, simultaneously establishing an association equation set between the parameters and the mass in the association diagram B, and establishing association between the mass data and the equipment through parameter data of the equipment between the association diagram A and the association diagram B to obtain an association diagram C.
Further, the method for establishing the set of correlation equations includes: establishing parameter deviation, wherein the parameter deviation is the difference between actual parameter data and ideal parameter data, and positive and negative conditions exist in the parameter deviation, and the positive and negative conditions represent the size between the actual parameter data and the ideal parameter data;
Establishing quality data deviation: mass Δb1, mass Δb2, mass Δb3.
The parameter deviation parameter is the difference between the actual parameter data and the ideal parameter data of the equipment, and the quality data deviation is the difference between the detection quality data and the ideal quality data of the bread;
Establishing a set of correlation functions based on historical parameter data of the device and historical quality data of the bread:
F12、F13、F14...F1M;F21、F22、F23...F2M;F31、F32、F33...F3M;...FY1、FY2、FY3...FYM;
Establishing a set of correlation equations ：△B1=F11(△a1)+F12(△a2)+F13(△a3)...+F1M(△aM);△B2=F21(△a1)+F22(△a2)+F23(△a3)...+F2M(△aM);△B3=F31(△a1)+F32(△a2)+F33(△a3)...+F3M(△aM);...△BY=FY1(△a1)+FY2(△a2)+FY3(△a3)...+FYM(△aM).
Still further, the diagramming method includes: establishing a coordinate system, taking a bread batch as an abscissa, taking bread quality data as an ordinate, adding detected bread quality data into the coordinate system, and preparing a chart.
Further, the correction method includes that when the calculated quality data deviation is judged to be smaller than or equal to a quality allowable range, the calculated quality data deviation is directly output, and parameter data of subsequent equipment are detected;
If the calculated quality data deviation is larger than a quality allowable range and smaller than the quality allowable deviation range, the real-time parameter data is judged to be marking data, the marking data causes bread quality deviation, parameter data influencing the bread quality deviation is found out from the correlation equation set and marked as equation parameter data, whether the equation parameter data is located at a subsequent position or a synchronous position of the marking data in the bread production process flow is judged, the equation parameter data is controlled according to a minimum influence method for the subsequent position or the synchronous position of the marking data, the parameter deviation for reducing the calculated bread quality deviation is generated, the reduced calculated bread quality deviation is smaller than or equal to the quality allowable range, and the parameter deviation of the equation parameter data is located in a parameter index range;
If the calculated quality data deviation is larger than or equal to the quality allowable deviation range, marking the equipment associated with the actual parameter data, controlling equation parameter data at the subsequent position or the synchronous position of the marked data according to a minimum influence method, generating parameter deviation for reducing the calculated bread quality deviation, wherein the calculated bread quality deviation after reduction is smaller than or equal to the quality allowable range, and the parameter deviation of the equation parameter data is in the parameter index range.
Furthermore, the minimum influence method comprises the steps that the identification parameter data cause bread quality data deviation, the parameter data deviation of equation parameter data causes deviation of bread quality data in the correlation equation set, the minimum influence method controls the bread quality data to generate deviation, and the bread quality deviation is in a quality allowance range.
The bread production quality management system adopts the bread production quality management method, and comprises the following steps:
And a data acquisition module: acquiring data for bread production, acquiring equipment of a bread production process flow and a bread production process, acquiring historical parameter data of the equipment and historical quality data of bread, establishing ideal parameter data of the equipment and ideal quality data of the bread, acquiring the parameter data of the equipment in real time, sampling and detecting from each batch of bread, detecting the quality of the bread, and acquiring the quality data of the bread;
and a data processing module: establishing ideal parameter data of the equipment and ideal quality data of bread;
Establishing a parameter index range of the parameter data, establishing a bread quality standard, and establishing a quality allowable deviation range for the bread quality standard based on ideal quality data of the bread; establishing a class of quality allowable range in the quality allowable deviation range;
Establishing a correlation diagram, namely establishing a correlation diagram A between equipment parameter data and equipment based on the bread production process flow and the historical parameter data of the equipment and the equipment of the bread production process, establishing a correlation diagram B between the equipment parameter data and the bread quality based on the historical parameter data and the historical bread quality data of the equipment, and establishing a correlation equation set between the equipment parameter data and the bread quality, wherein the correlation diagram A and the correlation diagram B are combined through the equipment parameter data to obtain a correlation diagram C;
And a data feedback module: establishing and applying a reaction mechanism, wherein equipment in bread production operates according to ideal parameter data, sequentially detecting and judging whether the actual parameter data of the equipment are in a parameter index range according to a bread production process flow, judging that the actual parameter data are not in the parameter index range, and controlling the parameter data by a correction method;
And establishing and applying a traceability mechanism, preparing a chart from the quality data change of the bread, judging the trend of the data change in the chart by a trend analysis method, judging whether the trend of the data change exceeds a quality allowable deviation range, and marking parameter data and equipment affecting quality based on an association equation set if the trend of the data change exceeds the quality allowable deviation range, wherein the marking is used for reminding personnel to overhaul the equipment.
A bread production quality management device adopts the bread production quality management method, which comprises the following steps:
A data acquirer: acquiring data for bread production, acquiring equipment of a bread production process flow and a bread production process, acquiring historical parameter data of the equipment and historical quality data of bread, acquiring the parameter data of the equipment in real time, sampling and detecting from each batch of bread, detecting the quality of the bread, and acquiring the quality data of the bread;
A processor: establishing ideal parameter data of the equipment and ideal quality data of bread;
Establishing a parameter index range of the parameter data, establishing a bread quality standard, and establishing a quality allowable deviation range for the bread quality standard based on ideal quality data of the bread; establishing a class of quality allowable range in the quality allowable deviation range;
Establishing a correlation diagram, namely establishing a correlation diagram A between equipment parameter data and equipment based on the bread production process flow and the historical parameter data of the equipment and the equipment of the bread production process, establishing a correlation diagram B between the equipment parameter data and the bread quality based on the historical parameter data and the historical bread quality data of the equipment, and establishing a correlation equation set between the equipment parameter data and the bread quality, wherein the correlation diagram A and the correlation diagram B are combined through the equipment parameter data to obtain a correlation diagram C;
And a feedback device: establishing and applying a reaction mechanism, wherein equipment in bread production operates according to ideal parameter data, sequentially detecting and judging whether the actual parameter data of the equipment are in a parameter index range according to a bread production process flow, judging that the actual parameter data are not in the parameter index range, and controlling the parameter data by a correction method;
And establishing and applying a traceability mechanism, preparing a chart from the quality data change of the bread, judging the trend of the data change in the chart by a trend analysis method, judging whether the trend of the data change exceeds a quality allowable deviation range, and marking parameter data and equipment affecting quality based on an association equation set if the trend of the data change exceeds the quality allowable deviation range, wherein the marking is used for reminding personnel to overhaul the equipment.
A readable storage medium for bread production quality management, having stored thereon a computer program which, when executed by a processor, implements a bread production quality management method as described above.
Compared with the prior art, the invention has the beneficial effects that:
According to the bread production quality management method, through setting of the association diagram and the association equation set, association between the parameter data of the equipment and the bread quality data is established, meanwhile, the association degree between the bread quality data and the parameter data of the equipment is represented through the association equation set, when deviation occurs in the parameter data, the parameter data which can be used for adjustment is searched through the association diagram and the association equation set, the parameter data is controlled, and therefore the calculated bread quality data can meet a quality allowance range, and further the quality of bread is guaranteed.
Meanwhile, through the setting of a reaction mechanism, the data acquirer continuously acquires actual parameter data of the equipment, the parameter data are moved to the feedback device, the feedback device carries out operation on the parameter data, whether the parameter data are in a parameter index range or not is judged, when the parameter data are not in the parameter index range, the data of the equipment parameters are controlled through a correction method, the equipment parameter data at a subsequent position and the equipment parameter data at a synchronous position are adjusted, so that calculation quality deviation is reduced, and meanwhile, if the calculation quality deviation of the actual parameter data exceeds a bread quality allowable range, the equipment is marked, so that the equipment is overhauled later;
The pre-conditions for overhauling the equipment comprise two types, one is that when calculated quality data exceeds a quality allowable deviation range, the other is that the trend of predicted actual quality data exceeds the quality allowable deviation range, the calculated quality data exceeds the quality allowable deviation range, but detected actual parameter data causes the calculated quality data to exceed the quality allowable deviation range, so that the equipment possibly has problems, and overhauling is needed, and the other is that under the condition of continuous production, the performance of the equipment is reduced, the production of bread is influenced, the damage or loss of most of the equipment is not abrupt in the quality of the bread, so that the trend of the actual quality data is analyzed, the equipment is overhauled in advance, and the quality of the bread is guaranteed.
Drawings
FIG. 1 is a schematic diagram of a management method according to the present invention;
FIG. 2 is a schematic diagram of a correlation diagram A according to the present invention;
FIG. 3 is a schematic diagram of a correlation diagram B according to the present invention;
FIG. 4 is a schematic diagram of a chart of the present invention;
FIG. 5 is a schematic diagram of the reaction mechanism of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
As shown in fig. 1 to 5, the present invention provides a technical solution: a bread production quality management method comprises the following steps:
acquiring data for bread production, acquiring equipment of a bread production process flow and a bread production process, acquiring historical parameter data of the equipment and historical quality data of bread, acquiring the parameter data of the equipment in real time, sampling and detecting from each batch of bread, detecting the quality of the bread, and acquiring the quality data of the bread;
Establishing ideal parameter data of the equipment and ideal quality data of bread;
establishing a parameter index range of the parameter data and a bread quality standard, and establishing a quality allowable deviation range of the bread quality standard based on ideal bread quality data; establishing a class of quality allowable range in the quality allowable deviation range;
Establishing a correlation diagram, namely establishing a correlation diagram A between equipment parameter data and equipment based on the bread production process flow and the historical parameter data of the equipment and the equipment of the bread production process, establishing a correlation diagram B between the equipment parameter data and the bread quality based on the historical parameter data and the historical bread quality data of the equipment, and establishing a correlation equation set between the equipment parameter data and the bread quality, wherein the correlation diagram A and the correlation diagram B are combined through the equipment parameter data to obtain a correlation diagram C;
Establishing and applying a reaction mechanism, wherein equipment in bread production runs according to ideal parameter data, sequentially detects actual parameter data according to a bread production process flow, acquires actual parameter data, acquires calculation parameter data, judges the magnitude relation of the calculation parameter data in a quality allowable range and a quality allowable deviation range respectively, and controls the parameter data by a correction method;
And establishing and applying a traceability mechanism, preparing a chart from the quality data change of the bread, judging the trend of the data change in the chart by a trend analysis method, judging whether the trend of the data change exceeds a quality allowable deviation range, and marking parameter data and equipment affecting quality based on an association equation set if the trend of the data change exceeds the quality allowable deviation range, wherein the marking is used for reminding personnel to overhaul the equipment.
The method for establishing the association diagram A comprises the following steps: dividing the equipment into equipment A1, equipment A2 and equipment A3 according to the technological process, wherein the equipment AN and N are positive integers, reducing the connection among the equipment, acquiring parameter data in the equipment A1, the equipment A2 and the equipment A3, dividing the parameter data of the equipment into parameters A1, A2 and a3., wherein the parameters aM and M are positive integers, and establishing the association between the equipment and the parameter data in the bread production technological process to obtain AN association graph A and AN association graph B, wherein the establishment method comprises the following steps: dividing mass data into mass B1, mass B2 and mass B3..mass BY, Y is a positive integer, establishing association between the mass data and parameters a1, a2 and a3...parameter aM to obtain an association diagram B, simultaneously establishing an association equation set between the parameters and the mass in the association diagram B, and establishing association between the mass data and the equipment through parameter data of the equipment between the association diagram A and the association diagram B to obtain an association diagram C.
The method for establishing the association equation set comprises the following steps: establishing parameter deviation, wherein the parameter deviation is the difference between actual parameter data and ideal parameter data, and positive and negative conditions exist in the parameter deviation, and the positive and negative conditions represent the size between the actual parameter data and the ideal parameter data; establishing quality data deviation: mass Δb1, mass Δb2, mass Δb3. The parameter deviation is the difference between the actual parameter data and the ideal parameter data of the device, and the quality data deviation is the difference between the detected quality data and the ideal quality data of the bread.
Establishing a set of correlation functions based on historical parameter data of the apparatus and historical quality data of the bread ：F12、F13、F14...F1M;F21、F22、F23...F2M;F31、F32、F33...F3M;...FY1、FY2、FY3...FYM;
Establishing a set of correlation equations ：△B1=F11(△a1)+F12(△a2)+F13(△a3)...+F1M(△aM);△B2=F21(△a1)+F22(△a2)+F23(△a3)...+F2M(△aM);△B3=F31(△a1)+F32(△a2)+F33(△a3)...+F3M(△aM);...△BY=FY1(△a1)+FY2(△a2)+FY3(△a3)...+FYM(△aM).
The method for making the chart comprises the following steps: establishing a coordinate system, taking a bread batch as an abscissa, taking bread quality data as an ordinate, adding detected bread quality data into the coordinate system, and making a chart.
The correction method comprises the steps that when the calculated quality data deviation is judged to be smaller than or equal to a quality allowable range, the calculated quality data deviation is directly output, and parameter data of subsequent equipment are detected;
If the calculated quality data deviation is larger than a quality allowable range and smaller than the quality allowable deviation range, the real-time parameter data is judged to be marking data, the marking data causes bread quality deviation, parameter data influencing the bread quality deviation is found out from the correlation equation set and marked as equation parameter data, whether the equation parameter data is located at a subsequent position or a synchronous position of the marking data in the bread production process flow is judged, the equation parameter data is controlled according to a minimum influence method for the subsequent position or the synchronous position of the marking data, the parameter deviation for reducing the calculated bread quality deviation is generated, the reduced bread quality deviation is smaller than or equal to the quality allowable range, and the parameter deviation of the equation parameter data is located in a parameter index range;
If the calculated quality data deviation is larger than or equal to the quality allowable deviation range, marking the equipment associated with the actual parameter data, controlling equation parameter data at the subsequent position or the synchronous position of the marked data according to a minimum influence method, generating the parameter deviation for reducing the calculated bread quality deviation, wherein the reduced bread quality deviation is smaller than or equal to the quality allowable range, and the parameter deviation of the equation parameter data is in the parameter index range.
The minimum influence method comprises the steps that the parameter data are marked to cause bread quality data deviation, the parameter data deviation of equation parameter data can cause deviation of bread quality data in the correlation equation set, the minimum influence method controls the bread quality data to generate deviation, and the bread quality deviation is in a quality allowable range.
A bread production quality management system, comprising:
And a data acquisition module: acquiring data for bread production, acquiring equipment of a bread production process flow and a bread production process, acquiring historical parameter data of the equipment and historical quality data of bread, establishing ideal parameter data of the equipment and ideal quality data of the bread, acquiring the parameter data of the equipment in real time, sampling and detecting from each batch of bread, detecting the quality of the bread, and acquiring the quality data of the bread;
and a data processing module: establishing ideal parameter data of the equipment and ideal quality data of bread;
Establishing a parameter index range of the parameter data, establishing a bread quality standard, and establishing a quality allowable deviation range for the bread quality standard based on ideal quality data of the bread; establishing a class of quality allowable range in the quality allowable deviation range;
Establishing a correlation diagram, namely establishing a correlation diagram A between equipment parameter data and equipment based on the bread production process flow and the historical parameter data of the equipment and the equipment of the bread production process, establishing a correlation diagram B between the equipment parameter data and the bread quality based on the historical parameter data and the historical bread quality data of the equipment, and establishing a correlation equation set between the equipment parameter data and the bread quality, wherein the correlation diagram A and the correlation diagram B are combined through the equipment parameter data to obtain a correlation diagram C;
And a data feedback module: establishing and applying a reaction mechanism, wherein equipment in bread production operates according to ideal parameter data, sequentially detecting and judging whether the actual parameter data of the equipment are in a parameter index range according to a bread production process flow, judging that the actual parameter data are not in the parameter index range, and controlling the parameter data by a correction method;
And establishing and applying a traceability mechanism, preparing a chart from the quality data change of the bread, judging the trend of the data change in the chart by a trend analysis method, judging whether the trend of the data change exceeds a quality allowable deviation range, and marking parameter data and equipment affecting quality based on an association equation set if the trend of the data change exceeds the quality allowable deviation range, wherein the marking is used for reminding personnel to overhaul the equipment.
The bread production process flow comprises dough preparation, dough kneading fermentation, molding, secondary fermentation, baking and cooling to finally obtain bread, and the above flows are sequentially carried out, and as specific flows are different when bread is produced by each manufacturer, the bread quality is subjected to numerical processing in a grading mode, so that visual and clear processing is facilitated, and the subsequent data change condition is facilitated.
The data receiver is used for receiving parameter data in the equipment, and the data receiver comprises a temperature detector, an internal pressure detector, a rotating speed detector and the like, wherein the temperature detector can detect the temperature inside the tank body, the internal pressure detector can detect the pressure inside the tank body, and the rotating speed detector can detect the rotating speed of the stirring device.
The bread in the same batch is sampled, the quality of the bread is detected, the quality data of the bread is obtained, the quality of the bread is detected, the detected result is quantized, the quality data of the bread is obtained, and the quality change of the bread can be intuitively displayed through a chart through the result quantization.
The quality allowable range is established, so that better quality is further pursued under the condition that the quality data of the bread accords with the quality standard, meanwhile, the quality allowable range is also an early warning range of the bread quality, and when the bread quality exceeds the quality allowable range, parameters in the production of the bread are required to be adjusted or equipment is overhauled, so that the bread quality is guaranteed.
The method comprises the steps of establishing a correlation function set, applying the correlation function set to historical parameter data of equipment and historical quality data of bread, preferably adopting a linear equation in the correlation function set to represent, firstly establishing a correlation equation set, manually correcting the correlation equation set based on actual conditions in a production process, removing a part with low correlation degree in the correlation equation set, preparing historical parameter data deviation and historical quality deviation of the historical parameter data of the equipment and the historical quality data of the bread for the rest part, substituting the historical parameter data deviation and the historical quality deviation into the correlation equation set, and obtaining a specific correlation function set by utilizing a computer to establish the correlation equation set.
When the change of the actual parameter data is still in the parameter index range, it is indicated that the actual parameter data cannot cause the calculated quality data to exceed a quality allowance range, meanwhile, the adjustment of the parameter data is also required to be in the parameter index range, the data acquirer acquires the actual parameter data of the equipment, automatically generates the parameter data deviation and substitutes the parameter data deviation into the correlation equation set for calculation, because of the sequencing of bread production, the parameter data of the subsequent equipment can calculate the correlation equation set according to the ideal parameter data, further obtain the calculated quality data deviation of the bread, judge whether the calculated quality data deviation exceeds a quality allowance range and exceeds a quality allowance range, if not, the parameter data of the subsequent equipment does not need to be adjusted, if the calculated quality data is outside the quality allowance range and within the quality allowance range, the parameter data of the subsequent equipment is adjusted according to the minimum influence method, so that the calculated quality data deviation of the subsequent equipment can be theoretically within the quality allowance range, if the calculated quality data exceeds the quality allowance range, the parameter data of the subsequent equipment can be damaged, the subsequent equipment is overhauled according to the optimal influence method, the correlation equation sets are adjusted according to the minimum influence on the parameter data of the subsequent equipment, and the correlation equation is prevented from being influenced by the correlation equation set, and the change of the quality of the correlation equation is reduced, and the correlation equation is avoided due to the fact that the change is caused by the correlation equation is more than the change of the correlation equation, and the calculated quality data in the set of correlation equations deviate beyond a class of quality allowable range.
Through the setting of the association diagram and the association equation set, the association between the equipment and the parameter data of the equipment and the bread quality data is established, meanwhile, the association degree between the bread quality data and the parameter data of the equipment is represented through the association equation set, when the parameter data deviate, the parameter data which can be used for adjustment are searched through the association diagram and the association equation set, and the parameter data are controlled, so that the calculated bread quality data can accord with a quality allowance range, and the bread quality is further ensured.
As shown in fig. 2 and 3, the connection of the equipment is established according to the sequence of the process flow, and the parameter a1, the parameter a2 and the parameter a3 are connected with the equipment according to the sequence of the process flow, in the actual production process, when the parameter a1 is deviated during production of the parameter a1, the quality B1 is affected, in order to reduce the deviation of the quality B1, the parameter a2 is at the subsequent position of the parameter a1, the parameter a3 is at the subsequent position of the parameter a1 but does not affect the quality B1, so that the processor controls the specific data of the parameter a2, thereby reducing the influence of the deviation of the parameter a1 on the quality B1, and meanwhile, the quality B2 is also deviated due to the control of the parameter a2, and at the same time, the specific data of the parameter a3 is controlled, thereby reducing the deviation of the quality B2, and if the quality B2 is smaller, the specific data of the parameter a3 is not required to be controlled, so that the circulation is performed, but finally, the theoretical quality data of the quality is deviated, but the theoretical quality data of the quality data is required to be ensured to be within the quality tolerance range.
The synchronous position indicates that whether the parameter a1 is controlled or not can be judged according to actual conditions in the actual production process, when the parameter a1 is produced, the value of the parameter a1 can be controlled when the parameter a1 deviates, so that the value of delta a1 can be reduced, for example, the temperature value deviation in equipment is overlarge, the temperature parameter can be controlled, and the temperature parameter can be reduced, but other conditions, such as the deviation of the water quantity in the tank body, are less and can be supplemented, more and cannot be supplemented, the parameter deviation is generated, the calculated quality data deviation is caused, the parameter of the subsequent equipment can only be controlled at the moment, the calculated quality data deviation is reduced, and the parameter data of the marked data can be modified into the synchronous position.
Through the setting of a reaction mechanism, the data acquirer continuously acquires actual parameter data of the equipment and moves the parameter data to the feedback device, the feedback device carries out operation on the parameter data, judges whether the parameter data is in a parameter index range, when the parameter data is not in the parameter index range, the data of the equipment parameter is controlled through a correction method, the equipment parameter data at a subsequent position and the equipment parameter data at a synchronous position are adjusted, so that calculation quality deviation is reduced, and meanwhile, if the calculation quality deviation of the actual parameter data exceeds a bread quality allowable range, the equipment is marked, so that the equipment is overhauled later.
Establishing a coordinate system, taking a bread batch as an abscissa, adding detected bread quality data as an ordinate, preparing a chart, taking three nearest points (including the current batch) of the current batch, substituting the three points into a quadratic function, calculating to obtain a specific quadratic function, judging whether the vertex of the quadratic function exceeds a quality allowable deviation range, if so, judging that the trend of data change exceeds the quality allowable deviation range, wherein the quadratic function is a commonly used curve model, can fully reflect the change trend of the data, can describe the characteristics such as concave-convex property, slope change and the like of a curve, can better fit the data for some data with obvious nonlinear characteristics, is the highest point or the lowest point of the curve, judges that the trend of the data change exceeds the quality allowable deviation range by calculating the vertex, can clearly display the trend of the three nearest points, further extracts the prediction, marks the parameter data and equipment related to the quality data through a correlation chart C, and overhauls the equipment.
The pre-conditions for equipment maintenance comprise two types, one is that when calculated quality data exceeds a quality allowable deviation range, the other is that the trend of actual quality data is predicted to exceed the quality allowable deviation range, in the condition that the calculated quality data exceeds the quality allowable deviation range, because parameter data of equipment in production can be input according to theoretical parameter data under the condition of no influence, but detected actual parameter data causes the calculated quality data to exceed the quality allowable deviation range, the equipment is likely to have problems, thus maintenance is needed, and the performance of the equipment is reduced under the condition of continuous production, thus the production of bread is influenced, the damage or loss of most of the equipment is not suddenly represented on the quality of the bread, so that the trend of the actual quality data is analyzed, the equipment is maintained in advance, and the quality of the bread is ensured.
A bread production quality management apparatus comprising:
A data acquirer: acquiring data for bread production, acquiring equipment of a bread production process flow and a bread production process, acquiring historical parameter data of the equipment and historical quality data of bread, acquiring the parameter data of the equipment in real time, sampling and detecting from each batch of bread, detecting the quality of the bread, and acquiring the quality data of the bread;
A processor: establishing ideal parameter data of the equipment and ideal quality data of bread;
Establishing a parameter index range of the parameter data, establishing a bread quality standard, and establishing a quality allowable deviation range for the bread quality standard based on ideal quality data of the bread; establishing a class of quality allowable range in the quality allowable deviation range;
Establishing a correlation diagram, namely establishing a correlation diagram A between equipment parameter data and equipment based on the bread production process flow and the historical parameter data of the equipment and the equipment of the bread production process, establishing a correlation diagram B between the equipment parameter data and the bread quality based on the historical parameter data and the historical bread quality data of the equipment, and establishing a correlation equation set between the equipment parameter data and the bread quality, wherein the correlation diagram A and the correlation diagram B are combined through the equipment parameter data to obtain a correlation diagram C;
And a feedback device: establishing and applying a reaction mechanism, wherein equipment in bread production operates according to ideal parameter data, sequentially detecting and judging whether the actual parameter data of the equipment are in a parameter index range according to a bread production process flow, judging that the actual parameter data are not in the parameter index range, and controlling the parameter data by a correction method;
And establishing and applying a traceability mechanism, preparing a chart from the quality data change of the bread, judging the trend of the data change in the chart by a trend analysis method, judging whether the trend of the data change exceeds a quality allowable deviation range, and marking parameter data and equipment affecting quality based on an association equation set if the trend of the data change exceeds the quality allowable deviation range, wherein the marking is used for reminding personnel to overhaul the equipment.
A readable storage medium for bread production quality management, having stored thereon a computer program which, when executed by a processor, implements a bread production quality management method as described above.
Computer readable storage media in the present application, including both permanent and non-permanent, removable and non-removable media, may be used for storage of information, such as computer readable instructions, data structures, modules of a program, or other data, by any method or technology, and examples of storage media for a computer include, but are not limited to, phase change memory, static random access memory, dynamic random access memory, or may be used for storage of information that may be accessed by a computing device, and computer programs may be used for data acquisition, data processing, and data feedback.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made hereto without departing from the spirit and scope of the invention as defined by the appended embodiments and equivalents thereof.
Claims (10)
1. A bread production quality management method is characterized in that: the method comprises the following steps:
acquiring data for bread production, acquiring equipment of a bread production process flow and a bread production process, acquiring historical parameter data of the equipment and historical quality data of bread, acquiring the parameter data of the equipment in real time, sampling and detecting from each batch of bread, detecting the quality of the bread, and acquiring the quality data of the bread;
Establishing ideal parameter data of the equipment and ideal quality data of bread;
establishing a parameter index range of the parameter data and a bread quality standard, and establishing a quality allowable deviation range of the bread quality standard based on ideal bread quality data; establishing a class of quality allowable range in the quality allowable deviation range;
Establishing a correlation diagram, namely establishing a correlation diagram A between equipment parameter data and equipment based on the bread production process flow and the historical parameter data of the equipment and the equipment of the bread production process, establishing a correlation diagram B between the equipment parameter data and the bread quality based on the historical parameter data and the historical bread quality data of the equipment, and establishing a correlation equation set between the equipment parameter data and the bread quality, wherein the correlation diagram A and the correlation diagram B are combined through the equipment parameter data to obtain a correlation diagram C;
Establishing and applying a reaction mechanism, wherein equipment in bread production runs according to ideal parameter data, sequentially detects actual parameter data according to a bread production process flow, acquires actual parameter data, acquires calculation parameter data, judges the magnitude relation of the calculation parameter data in a quality allowable range and a quality allowable deviation range respectively, and controls the parameter data by a correction method;
And establishing and applying a traceability mechanism, preparing a chart from the quality data change of the bread, judging the trend of the data change in the chart by a trend analysis method, judging whether the trend of the data change exceeds a quality allowable deviation range, and marking parameter data and equipment affecting quality based on an association equation set if the trend of the data change exceeds the quality allowable deviation range, wherein the marking is used for reminding personnel to overhaul the equipment.
2. The bread production quality management method according to claim 1, characterized in that: the method for establishing the association diagram A comprises the following steps: dividing the equipment into equipment A1, equipment A2 and equipment A3 according to the technological process, wherein the equipment AN and N are positive integers, reducing the connection among the equipment, acquiring parameter data in the equipment A1, the equipment A2 and the equipment A3, dividing the parameter data of the equipment into parameters A1, A2 and a3., wherein the parameters aM and M are positive integers, and establishing association between the equipment and the parameter data in the bread production technological process to obtain AN association diagram A.
3. The bread production quality management method according to claim 2, characterized in that: the method for establishing the association diagram B comprises the following steps: dividing mass data into mass B1, mass B2 and mass B3..mass BY, Y is a positive integer, establishing association between the mass data and parameters a1, a2 and a3...parameter aM to obtain an association diagram B, simultaneously establishing an association equation set between the parameters and the mass in the association diagram B, and establishing association between the mass data and the equipment through parameter data of the equipment between the association diagram A and the association diagram B to obtain an association diagram C.
4. The bread production quality management method according to claim 1, characterized in that: the method for establishing the set of correlation equations comprises the following steps: establishing parameter deviation, wherein the parameter deviation is the difference between actual parameter data and ideal parameter data, and positive and negative conditions exist in the parameter deviation, and the positive and negative conditions represent the size between the actual parameter data and the ideal parameter data;
Establishing quality data deviation: mass Δb1, mass Δb2, mass Δb3.
The parameter deviation parameter is the difference between the actual parameter data and the ideal parameter data of the equipment, and the quality data deviation is the difference between the detection quality data and the ideal quality data of the bread;
Establishing a set of correlation functions based on historical parameter data of the device and historical quality data of the bread:
F12、F13、F14...F1M;
F21、F22、F23...F2M;
F31、F32、F33...F3M;
...
FY1、FY2、FY3...FYM；
establishing a set of association equations:
△B1=F11(△a1)+F12(△a2)+F13(△a3)...+F1M(△aM)；
△B2=F21(△a1)+F22(△a2)+F23(△a3)...+F2M(△aM)；
△B3=F31(△a1)+F32(△a2)+F33(△a3)...+F3M(△aM)；
...
△BY=FY1(△a1)+FY2(△a2)+FY3(△a3)...+FYM(△aM)。
5. The bread production quality management method according to claim 4, wherein: the method for making the chart comprises the following steps: establishing a coordinate system, taking a bread batch as an abscissa, taking bread quality data as an ordinate, adding detected bread quality data into the coordinate system, and preparing a chart.
6. The bread production quality management method according to claim 1, characterized in that: the correction method comprises the steps that when the calculated quality data deviation is judged to be smaller than or equal to a quality allowable range, the calculated quality data deviation is directly output, and parameter data of subsequent equipment are detected;
If the calculated quality data deviation is larger than a quality allowable range and smaller than the quality allowable deviation range, the real-time parameter data is judged to be marking data, the marking data causes bread quality deviation, parameter data influencing the bread quality deviation is found out from the correlation equation set and marked as equation parameter data, whether the equation parameter data is located at a subsequent position or a synchronous position of the marking data in the bread production process flow is judged, the equation parameter data is controlled according to a minimum influence method for the subsequent position or the synchronous position of the marking data, the parameter deviation for reducing the calculated bread quality deviation is generated, the reduced calculated bread quality deviation is smaller than or equal to the quality allowable range, and the parameter deviation of the equation parameter data is located in a parameter index range;
If the calculated quality data deviation is larger than or equal to the quality allowable deviation range, marking the equipment associated with the actual parameter data, controlling equation parameter data at the subsequent position or the synchronous position of the marked data according to a minimum influence method, generating parameter deviation for reducing the calculated bread quality deviation, wherein the calculated bread quality deviation after reduction is smaller than or equal to the quality allowable range, and the parameter deviation of the equation parameter data is in the parameter index range.
7. The bread production quality management method according to claim 6, wherein: the minimum influence method comprises the steps that the identification parameter data cause bread quality data deviation, the parameter data deviation of equation parameter data cause deviation of bread quality data in the correlation equation set, the minimum influence method controls the bread quality data to generate deviation, and the bread quality deviation is in a quality allowance range.
8. A bread production quality management system using a bread production quality management method according to any one of claims 1 to 7, characterized in that: comprising the following steps:
And a data acquisition module: acquiring data for bread production, acquiring equipment of a bread production process flow and a bread production process, acquiring historical parameter data of the equipment and historical quality data of bread, establishing ideal parameter data of the equipment and ideal quality data of the bread, acquiring the parameter data of the equipment in real time, sampling and detecting from each batch of bread, detecting the quality of the bread, and acquiring the quality data of the bread;
and a data processing module: establishing ideal parameter data of the equipment and ideal quality data of bread;
Establishing a parameter index range of the parameter data, establishing a bread quality standard, and establishing a quality allowable deviation range for the bread quality standard based on ideal quality data of the bread; establishing a class of quality allowable range in the quality allowable deviation range;
Establishing a correlation diagram, namely establishing a correlation diagram A between equipment parameter data and equipment based on the bread production process flow and the historical parameter data of the equipment and the equipment of the bread production process, establishing a correlation diagram B between the equipment parameter data and the bread quality based on the historical parameter data and the historical bread quality data of the equipment, and establishing a correlation equation set between the equipment parameter data and the bread quality, wherein the correlation diagram A and the correlation diagram B are combined through the equipment parameter data to obtain a correlation diagram C;
And a data feedback module: establishing and applying a reaction mechanism, wherein equipment in bread production operates according to ideal parameter data, sequentially detecting and judging whether the actual parameter data of the equipment are in a parameter index range according to a bread production process flow, judging that the actual parameter data are not in the parameter index range, and controlling the parameter data by a correction method;
And establishing and applying a traceability mechanism, preparing a chart from the quality data change of the bread, judging the trend of the data change in the chart by a trend analysis method, judging whether the trend of the data change exceeds a quality allowable deviation range, and marking parameter data and equipment affecting quality based on an association equation set if the trend of the data change exceeds the quality allowable deviation range, wherein the marking is used for reminding personnel to overhaul the equipment.
9. A bread production quality management apparatus using a bread production quality management method according to any one of claims 1 to 7, characterized in that: comprising the following steps:
A data acquirer: acquiring data for bread production, acquiring equipment of a bread production process flow and a bread production process, acquiring historical parameter data of the equipment and historical quality data of bread, acquiring the parameter data of the equipment in real time, sampling and detecting from each batch of bread, detecting the quality of the bread, and acquiring the quality data of the bread;
A processor: establishing ideal parameter data of the equipment and ideal quality data of bread;
Establishing a parameter index range of the parameter data, establishing a bread quality standard, and establishing a quality allowable deviation range for the bread quality standard based on ideal quality data of the bread; establishing a class of quality allowable range in the quality allowable deviation range;
Establishing a correlation diagram, namely establishing a correlation diagram A between equipment parameter data and equipment based on the bread production process flow and the historical parameter data of the equipment and the equipment of the bread production process, establishing a correlation diagram B between the equipment parameter data and the bread quality based on the historical parameter data and the historical bread quality data of the equipment, and establishing a correlation equation set between the equipment parameter data and the bread quality, wherein the correlation diagram A and the correlation diagram B are combined through the equipment parameter data to obtain a correlation diagram C;
And a feedback device: establishing and applying a reaction mechanism, wherein equipment in bread production operates according to ideal parameter data, sequentially detecting and judging whether the actual parameter data of the equipment are in a parameter index range according to a bread production process flow, judging that the actual parameter data are not in the parameter index range, and controlling the parameter data by a correction method;
And establishing and applying a traceability mechanism, preparing a chart from the quality data change of the bread, judging the trend of the data change in the chart by a trend analysis method, judging whether the trend of the data change exceeds a quality allowable deviation range, and marking parameter data and equipment affecting quality based on an association equation set if the trend of the data change exceeds the quality allowable deviation range, wherein the marking is used for reminding personnel to overhaul the equipment.
10. A readable storage medium for bread production quality management, characterized by: a computer program stored thereon, which when executed by a processor, implements a bread production quality management method according to any of claims 1 to 7.
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