CN116991132A - Fish embrittlement feed quality control method and system - Google Patents
Fish embrittlement feed quality control method and system Download PDFInfo
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- 238000003908 quality control method Methods 0.000 title claims abstract description 41
- 241000251468 Actinopterygii Species 0.000 claims abstract description 54
- 238000001125 extrusion Methods 0.000 claims abstract description 44
- 238000000034 method Methods 0.000 claims abstract description 40
- 238000012544 monitoring process Methods 0.000 claims abstract description 17
- 238000004458 analytical method Methods 0.000 claims description 27
- 238000012512 characterization method Methods 0.000 claims description 17
- 230000006870 function Effects 0.000 claims description 16
- 230000002159 abnormal effect Effects 0.000 claims description 12
- 238000007906 compression Methods 0.000 claims description 11
- 238000004590 computer program Methods 0.000 claims description 11
- 238000004364 calculation method Methods 0.000 claims description 10
- 235000013372 meat Nutrition 0.000 claims description 10
- 239000008187 granular material Substances 0.000 claims description 8
- 230000006835 compression Effects 0.000 claims description 7
- 230000007246 mechanism Effects 0.000 claims description 7
- 239000000463 material Substances 0.000 claims description 6
- 238000012360 testing method Methods 0.000 claims description 6
- 101000795744 Homo sapiens TPA-induced transmembrane protein Proteins 0.000 claims description 3
- 102100031626 TPA-induced transmembrane protein Human genes 0.000 claims description 3
- BTNNPSLJPBRMLZ-UHFFFAOYSA-N benfotiamine Chemical compound C=1C=CC=CC=1C(=O)SC(CCOP(O)(O)=O)=C(C)N(C=O)CC1=CN=C(C)N=C1N BTNNPSLJPBRMLZ-UHFFFAOYSA-N 0.000 claims description 3
- 230000008030 elimination Effects 0.000 claims description 2
- 238000003379 elimination reaction Methods 0.000 claims description 2
- 238000004519 manufacturing process Methods 0.000 abstract description 4
- 238000011002 quantification Methods 0.000 abstract description 4
- 230000000694 effects Effects 0.000 description 10
- 239000008188 pellet Substances 0.000 description 10
- 238000009529 body temperature measurement Methods 0.000 description 8
- 230000008569 process Effects 0.000 description 7
- 238000009825 accumulation Methods 0.000 description 5
- 239000002245 particle Substances 0.000 description 4
- 238000003860 storage Methods 0.000 description 4
- 208000024891 symptom Diseases 0.000 description 4
- 240000006677 Vicia faba Species 0.000 description 3
- 235000010749 Vicia faba Nutrition 0.000 description 3
- 235000002098 Vicia faba var. major Nutrition 0.000 description 3
- 238000000605 extraction Methods 0.000 description 3
- COLNVLDHVKWLRT-QMMMGPOBSA-N L-phenylalanine Chemical compound OC(=O)[C@@H](N)CC1=CC=CC=C1 COLNVLDHVKWLRT-QMMMGPOBSA-N 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000010276 construction Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000006872 improvement Effects 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 235000015097 nutrients Nutrition 0.000 description 2
- 235000016709 nutrition Nutrition 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 239000000126 substance Substances 0.000 description 2
- 230000005856 abnormality Effects 0.000 description 1
- 239000004480 active ingredient Substances 0.000 description 1
- 238000003491 array Methods 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 230000000052 comparative effect Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 229930182470 glycoside Natural products 0.000 description 1
- 150000002338 glycosides Chemical class 0.000 description 1
- 230000002779 inactivation Effects 0.000 description 1
- 230000035764 nutrition Effects 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 229960005190 phenylalanine Drugs 0.000 description 1
- 238000004445 quantitative analysis Methods 0.000 description 1
- 230000005855 radiation Effects 0.000 description 1
- 229920001864 tannin Polymers 0.000 description 1
- 239000001648 tannin Substances 0.000 description 1
- 235000018553 tannin Nutrition 0.000 description 1
- 230000002277 temperature effect Effects 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Classifications
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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]
- G05B19/41875—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by quality surveillance of production
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
- G01K13/00—Thermometers specially adapted for specific purposes
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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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- Spectroscopy & Molecular Physics (AREA)
- Fodder In General (AREA)
Abstract
The application belongs to the technical field of temperature control fault monitoring and automatic production of feed for raising crisp fish, and provides a quality control method and a quality control system of fish embrittlement feed. By amplifying the weight of the individual temperature drop phenomenon in the data of each basic port, the accuracy of the quality level quantification of the feedback control of the temperature control module is improved, the productivity risk brought by the fault of the temperature control module of the granulator due to the false report of the supplied or collected data is reduced, the adaptability and the sustainability of the extrusion speed of the embrittled feed to the temperature under the control of the fault of the existing temperature control module are improved, and an effective control performance quality monitoring method of the temperature control module of the granulator is formed.
Description
Technical Field
The application belongs to the technical field of temperature control fault monitoring and automatic production of feed for raising crisp fish, and particularly relates to a quality control method and system of fish embrittlement feed.
Background
The embrittlement fish is increasingly demanded in China, and at present, an embrittlement feed is generally used for raising fish in the industry so as to ensure that the fish of the cultured fish group obtains an embrittlement effect, wherein the common technology is to add broad beans or active components of broad beans into the feed, and the active components mainly comprise broad bean glycosides, tannins, L-phenylalanine and the like.
However, the producers find that the pellet crushing phenomenon of different degrees is accompanied in the pellet extrusion molding process of a pelletizer for producing the embrittled feed or in the feed transportation process, and the pellet crushing is easily caused if the temperature is too high to cause the failure or inactivation of thermosensitive nutrient components in the feed extrusion process and too low. When the fish feed particles are broken, nutrition is lost, so that nutrient substances in the feed or active ingredients for fish embrittlement cannot be fully absorbed and utilized, and the embrittlement effect of the embrittled feed is reduced. In addition, if the frequency of occurrence of the particle crushing condition is high, fishes with different sizes may selectively ingest particles with different sizes, so that the growth of the fishes in the fish shoal is uneven, and the growth of some fishes is slower, thereby affecting the cultivation benefit. This phenomenon is due to the fact that the special heat accumulation effect of the embrittled feed causes a false recognition of the machine, which in turn leads to false alarms of the supplied or collected data, forming a failure of the temperature control module of the granulator. However, the extrusion speed of the embrittled feed cannot be adapted to the temperature under the control of the failure of the temperature control module, so that a control method of the pelletizer for the fish embrittled feed is urgently needed to carry out the strategic optimization of the pelletizer to the failure of the temperature control module.
Disclosure of Invention
The application aims to provide a fish embrittlement feed quality control method and a fish embrittlement feed quality control system, which are used for solving one or more technical problems in the prior art and at least providing a beneficial selection or creation condition.
In order to achieve the above object, according to an aspect of the present application, there is provided a fish embrittlement feed quality control method comprising the steps of:
s100, arranging a temperature measuring module in a granulator;
s200, acquiring temperature information in real time through a temperature measuring module;
s300, performing extrusion grain thermal characteristic analysis according to temperature information to form crushing compression characteristic quantity;
s400, quality monitoring of performance of the temperature control module in the granulator is performed by using the crushing pressure sign quantity.
Further, in step S100, the method for arranging the temperature measuring module in the granulator is as follows: the infrared temperature measuring module is a temperature measuring instrument for measuring a target product, and the temperature measuring instrument is any one of an infrared thermometer, a temperature sensor, an infrared temperature measuring sensor or an NTC temperature sensor; the target product is the material extruded from the extrusion port of the extrusion mechanism in the granulator, or the target product is the material not extruded from the extrusion port of the extrusion mechanism in the granulator.
Further, in step S200, the method for acquiring the temperature information in real time through the temperature measurement module is as follows: the temperature measuring module measures and obtains temperature value TMP in real time, wherein the number of extrusion ports in the granulator is NSQ, the average value, the maximum value and the minimum value of the temperature values obtained by all extrusion ports at the same moment are respectively recorded as ETMP, TTMP and BTMP, the granule heat state quantity UHSQ at the current moment is obtained by calculation,
；
wherein exp () is an exponential function with a natural constant e as a base, the thermal state quantity UHSQ is taken as temperature information at the current moment, and the acquisition interval of the temperature information is recorded as FTG, and FTG epsilon [1,5] seconds.
Further, in step S300, the method for forming the crushing crush symptom is to perform the analysis of the extrusion grain thermal characteristics according to the temperature information: taking a time period TE as an analysis time period, TE E [1,5]]The method comprises the steps of constructing a sequence of particle heat state quantity UHSQ obtained at each moment in a time period TE and marking the sequence as a heat state sequence, and obtaining the heat state quantity UHSQ in the heat state sequenceThe median of the granule heat state quantities at each time is recorded as Gtve, and the first heat state value Wevt at the current time is calculated, wevt=lg| (UHSQ T UHSQ)/Gtve, wherein UHSQ T Searching the first maximum value obtained from the current moment for the thermal characterization sequence; constructing a sequence of first thermal characterization values at each moment to be a first thermal characterization sequence, and recording the average value of each element in the first thermal characterization sequence as EWt to be Wevt j1 Represents the j1 st element in the first thermal signature sequence, when Wevt j1 And if not less than EWt, marking the element as a high positioning point OWt, constructing a sequence by all the high positioning points as a high positioning sequence, marking the number of the elements in the high positioning sequence as L_OWLs, and calculating to obtain the crushing pressure sign quantity PWEQ at the current moment:
；
where j2 is an accumulated variable, OWt j2 The j 2-th high-test site of the high-test sequence is represented, EUHSQ represents the average value of the thermal characterization sequence, exp () is an exponential function with a natural constant e as a base.
The crushing pressure sign is obtained by combining calculation of high-position points, so that the influence of the common phenomenon that the temperature of individual extrusion points in an extrusion mechanism is abnormally low on the whole quantification result is effectively reduced, however, the phenomenon that the temperature of local positions is overlooked easily causes insufficient quantification or excessive neglect of data in the calculation process, the problem that the obtained result is not fully accurate in extrusion grain thermal characteristic analysis can be caused, particularly, the problem that the temperature of only one extrusion point is abnormally low can be solved, but the problem that the application of the crushing pressure sign is excessively capturing global information and local abnormality is overlooked in the prior art cannot be solved, and in order to enable the high-position points to be more accurate, the adaptability to the use of the crushing pressure sign is stronger, and the waste phenomenon of using data is eliminated, so that the application provides a more preferable scheme.
Preferably, in step S300, the extrusion grain thermal characteristic analysis is performed according to the temperature information, and the method for forming the crushing crush symptom is as follows: taking a time period TE as an analysis time period, wherein TE is [1,5] hours, and the default value of TE is set to be 3; constructing a sequence of grain thermal state quantity UHSQ obtained at each moment in a time period TE, marking the sequence as a first thermal state sequence, searching in the first thermal state sequence in reverse time sequence to obtain a first element with a maximum value and a second element with the maximum value, and marking the quantity of moments contained between the corresponding moments of the two elements as UTZn; forming a grain thermal sample area every UTZn time from the current time; dividing the grain thermal sample regions according to each element in the first thermal state sequence, marking the number of the grain thermal sample regions as N_DV, calculating and obtaining the sub-pressure sign quantity Trc at the current moment according to the grain thermal state quantity at the current moment and each grain thermal sample region in the first thermal state sequence,
；
wherein i1 is an accumulation variable, TUHSQ i1 ，BUHSQ i1 And EUHSQ i1 Respectively the maximum value, the minimum value and the median of the i1 st grain thermal sample region in the first thermal state sequence, wherein exp () is an exponential function with a natural constant e as a base;
the average value and the median value of the sub-compression characteristic quantity at each moment in the time period TE are respectively recorded as ETrc and MTrc, and a reject domain interval EQZone is constructed, wherein EQZone epsilon [ ETrc- |ETrc-MTrc|, ETrc+|ETrc-MTrc| ]; if Trc at a moment is in the reject domain interval, defining that reject mark occurs at the moment; removing all the moments of the removal mark in the time period TE, calculating crushing pressure sign quantity, and taking the average value of sub-pressure sign quantity of each moment of a grain heat sample area as the heat sign level of the grain heat sample area; if the thermal sign level of one grain thermal sample area is outside the balance area, defining the grain thermal sample area as a first grain thermal sample area, and taking the average value of the grain thermal sign amounts in the first grain thermal sample area as the grain thermal level sub_UH of the first grain thermal sample area; constructing a sequence by combining the grain heat level of each first grain heat sample area, namely SU_Ls, and recording the median number of each element in the SU_Ls as LsMid; taking the difference value between the maximum value and the minimum value of the temperature control standard value in SU_Ls as a crushing threshold value LsTsd of the sequence; obtaining the crushing pressure sign quantity PWEQ at the current moment according to the sub-pressure sign quantity calculation at the current moment:
；
where i2 is an accumulated variable, HF<>As a harmonic mean function, ln () is a logarithmic function with a natural constant e as a base; sub_uh i2 The heat level of the i2 th first heat sample zone is shown, and MTrc and ETrc are the maximum value and the median value of the sub-pressure sign quantity at each time in the period TE respectively.
Because the crushing pressure sign quantity is calculated and obtained based on the grain heat sign quantity at each moment, and the obtained data are subjected to layered quantitative analysis, the extrusion balance of the target product in the radiation range of the data acquisition position is effectively quantized, the correlation factors of the screw rotation power and the temperature drop or the change in the extrusion process of the fish brittle feed can be further analyzed, and the feedback quality level of the heat accumulation effect on the temperature control module of the current production process is quantized. According to analysis of the grain thermal state quantity, feature extraction is carried out on the phenomenon that the grain thermal feature degrees of extrusion outlets at different moments are inconsistent, data can be subdivided into different subsets, and weights are amplified on the individual temperature-reduced phenomena in the data of each basic port, so that a more scientific feedback quality level of a temperature control module is obtained, and reliable data support is further provided for feedback quality monitoring of the temperature control module.
Further, in step S400, the method for performing quality monitoring on the performance of the temperature control module in the granulator by using the crushing pressure sign is as follows: the method comprises the steps of continuously obtaining crushing pressure sign quantity PWEQ at each moment in a temperature measuring module, setting a time length as an abnormal scheduling window STG, carrying out adjustment analysis on each crushing pressure sign quantity in the latest STG time period, recording an arithmetic average value of each crushing pressure sign quantity in the abnormal scheduling window as an EPWEQ, defining that the monitored temperature control quality is abnormal if the EPWEQ is smaller than a set threshold value, stopping the operation of a granulator, and sending each crushing pressure sign quantity in the latest STG time period to a client as a temperature control quality monitoring log.
Preferably, in step S400, the method for quality monitoring of the performance of the temperature control module in the granulator by using the crushing pressure sign is: the crushing pressure sign quantity PWEQ at each time is continuously obtained in the temperature measurement module, a time length is set as an abnormal scheduling window STG, STG epsilon [30,120] seconds, and the crushing pressure sign quantity in the latest STG time period is used for adjustment analysis: the arithmetic average value of the crushing pressure sign quantity in the abnormal scheduling window is recorded as EPWEQ, and when the EPWEQ is larger than a set threshold value, the temperature control module is judged to have excellent performance;
if PWEQ of a moment is more than EPWEQ, defining that the moment is subject to upward bias, and if PWEQ of a moment is less than EPWEQ, defining that the moment is subject to downward bias; the times of the upper bias and the lower bias at the current moment are respectively recorded as ec_vt and Bc_vt;
if ec_vt is greater than or equal to Bc_vt, increasing the screw rotation power, wherein the specific method is as follows: when ec_vt is less than or equal to 1.1 and Bc_vt is less than 1.2, increasing the screw rotation power by 2%; when ec_vt is less than or equal to 1.2 and Bc_vt is less than 1.4, increasing the screw rotation power by 4%; when ec_vt is less than or equal to 1.4 and is equal to Bc_vt, increasing the screw rotation power by 6%;
if Bc_vt is larger than or equal to ec_vt, the screw rotation power is reduced, and the specific method is as follows: when Bc_vt is less than or equal to 1.1 and ec_vt is less than 1.2, the screw rotation power is reduced by 2%; when Bc_vt is less than or equal to 1.2 and ec_vt is less than 1.4, the screw rotation power is reduced by 4%; when Bc_vt is less than or equal to 1.4 and ec_vt, the screw rotation power is reduced by 6%;
the screw rotating power can be the power of a motor for controlling the screw to rotate, a temperature control module is arranged in the granulator, and the temperature control module is used for adaptively adjusting the temperature control in the granulator to achieve the constant temperature effect in the granulator.
Preferably, all undefined variables in the present application, if not explicitly defined, may be thresholds set manually.
The application also provides a fish embrittlement feed quality control system, which comprises: a processor, a memory, and a computer program stored in the memory and executable on the processor, wherein the processor implements steps in the fish embrittlement feed quality control method when the computer program is executed, the fish embrittlement feed quality control system can be operated in a computing device such as a desktop computer, a notebook computer, a palm computer, a cloud data center, and the like, and the executable system can include, but is not limited to, a processor, a memory, and a server cluster, and the processor executes the computer program to operate in units of the following systems:
the scene construction unit is used for arranging a temperature measurement module in the granulator;
the temperature acquisition unit is used for acquiring temperature information in real time through the temperature measurement module;
the characteristic analysis unit is used for carrying out extrusion grain thermal characteristic analysis according to the temperature information to form crushing compression characteristic quantity;
and the dynamic scheduling unit is used for monitoring the quality of the performance of the temperature control module in the granulator by utilizing the crushing pressure characteristic quantity.
The beneficial effects are that: the application provides a fish embrittlement feed quality control method and a fish embrittlement feed quality control system, which are used for carrying out characteristic extraction on the phenomenon that the extrusion grain thermal characteristic degrees of extrusion outlets at different moments are inconsistent, subdividing data into different subsets, amplifying weights on the phenomenon that the individual temperature is low in the data of each basic port, thereby obtaining a more scientific extrusion balance index, quantifying the feedback quality level of a heat accumulation effect on a temperature control module of the current production process, carrying out characteristic extraction on the phenomenon that the extrusion grain thermal characteristic degrees of the extrusion grain outlets at different moments are inconsistent according to analysis on grain thermal characteristic amounts, subdividing the data into different subsets, amplifying weights on the phenomenon that the individual temperature is low in the data of each basic port, improving the accuracy of quantification on the feedback quality level of the temperature control module, reducing false alarm of supplied or collected data, forming the productivity risk caused by the failure of the temperature control module of a granulator, and improving the adaptability and the sustainability of the temperature under the control of the failure of the conventional temperature control module of the embrittlement feed.
Drawings
The above and other features of the present application will become more apparent from the detailed description of the embodiments thereof given in conjunction with the accompanying drawings, in which like reference characters designate like or similar elements, and it is apparent that the drawings in the following description are merely some examples of the present application, and other drawings may be obtained from these drawings without inventive effort to those of ordinary skill in the art, in which:
FIG. 1 is a flow chart showing a fish embrittlement feed quality control method;
FIG. 2 shows a structural diagram of a fish embrittlement feed quality control system.
Detailed Description
The conception, specific structure, and technical effects produced by the present application will be clearly and completely described below with reference to the embodiments and the drawings to fully understand the objects, aspects, and effects of the present application. It should be noted that, without conflict, the embodiments of the present application and features of the embodiments may be combined with each other.
Example 1 a flowchart of a fish meat embrittlement feed quality control method is shown in fig. 1, and a fish meat embrittlement feed quality control method according to an embodiment of the present application is explained below with reference to fig. 1, the method comprising the steps of:
s100, arranging a temperature measuring module in a granulator;
s200, acquiring temperature information in real time through a temperature measuring module;
s300, performing extrusion grain thermal characteristic analysis according to temperature information to form crushing compression characteristic quantity;
s400, quality monitoring of performance of the temperature control module in the granulator is performed by using the crushing pressure sign quantity.
Further, in step S100, the method for arranging the temperature measuring module in the granulator is as follows: the infrared temperature measuring module is a temperature measuring instrument for measuring a target product, and the temperature measuring instrument is any one of an infrared thermometer, a temperature sensor, an infrared temperature measuring sensor or an NTC temperature sensor; the target product is the material extruded from the extrusion port of the extrusion mechanism in the granulator, or the target product is the material not extruded from the extrusion port of the extrusion mechanism in the granulator.
Further, in step S200, the method for acquiring the temperature information in real time through the temperature measurement module is as follows: the temperature measuring module measures and obtains temperature value TMP in real time, wherein the number of extrusion ports in the granulator is NSQ, the average value, the maximum value and the minimum value of the temperature values obtained by all extrusion ports at the same moment are respectively recorded as ETMP, TTMP and BTMP, the granule heat state quantity UHSQ at the current moment is obtained by calculation,
；
wherein exp () is an exponential function with a natural constant e as a base, the heat-grain state quantity UHSQ is used as temperature information at the current moment, the acquisition interval of the temperature information is recorded as FTG, and the FTG takes 5 seconds.
Further, in step S300, the method for forming the crushing crush symptom is to perform the analysis of the extrusion grain thermal characteristics according to the temperature information: taking a time period TE as an analysis time period, taking the TE value for 3 hours, constructing a sequence of the granule heat state quantity UHSQ at each time obtained in the time period TE as a heat state sequence, recording the median number of the granule heat state quantity at each time in the heat state sequence as Gtve, and calculating a first heat state value Wevt at the current time, wherein Wevt=lg| (UHSQ) T UHSQ)/Gtve, wherein UHSQ T Searching the first maximum value obtained from the current moment for the thermal characterization sequence; constructing a sequence of first thermal characterization values at each moment to be a first thermal characterization sequence, and recording the average value of each element in the first thermal characterization sequence as EWt to be Wevt j1 Represents the j1 st element in the first thermal signature sequence, when Wevt j1 And if not less than EWt, marking the element as a high positioning point OWt, constructing a sequence by all the high positioning points as a high positioning sequence, marking the number of the elements in the high positioning sequence as L_OWLs, and calculating to obtain the crushing pressure sign quantity PWEQ at the current moment:
；
where j2 is an accumulated variable, OWt j2 The j 2-th high-test site of the high-test sequence is represented, EUHSQ represents the average value of the thermal characterization sequence, exp () is an exponential function with a natural constant e as a base.
Further, in step S400, the method for performing quality monitoring on the performance of the temperature control module in the granulator by using the crushing pressure sign is as follows: the crushing pressure sign quantity PWEQ at each time is continuously obtained in the temperature measurement module, a time length is set as an abnormal scheduling window STG, the STG is valued for 60 seconds, and the crushing pressure sign quantity in the latest STG time period is used for adjustment analysis: the arithmetic average value of the crushing pressure sign quantity in the abnormal scheduling window is recorded as EPWEQ, if PWEQ at one moment is greater than EPWEQ, the moment is defined to have upward deviation, otherwise, the moment is defined to have downward deviation; the times of the upper bias and the lower bias at the current moment are respectively recorded as ec_vt and Bc_vt;
if ec_vt is greater than or equal to Bc_vt, increasing the screw rotation power, wherein the specific method is as follows: when ec_vt is less than or equal to 1.1 and Bc_vt is less than 1.2, increasing the screw rotation power by 2%; when ec_vt is less than or equal to 1.2 and Bc_vt is less than 1.4, increasing the screw rotation power by 4%; when ec_vt is less than or equal to 1.4 and is equal to Bc_vt, increasing the screw rotation power by 6%;
if Bc_vt is larger than or equal to ec_vt, the screw rotation power is reduced, and the specific method is as follows: when Bc_vt is less than or equal to 1.1 and ec_vt is less than 1.2, the screw rotation power is reduced by 2%; when Bc_vt is less than or equal to 1.2 and ec_vt is less than 1.4, the screw rotation power is reduced by 4%; when Bc_vt is less than or equal to 1.4 and ec_vt, the screw rotation power is reduced by 6%; wherein the screw rotation power may be the power of a motor controlling the screw rotation.
Example 2 an embrittled pellet feed was prepared by the method of example 1, example 2 differing from example 1 in that the analysis of the thermal profile of the extruded pellets was carried out on the basis of temperature information, the method of forming the crush-compression symptoms being: taking a time period TE as an analysis time period, and taking the TE value for 3 hours; constructing a sequence of grain thermal state quantity UHSQ obtained at each moment in a time period TE, marking the sequence as a first thermal state sequence, searching in the first thermal state sequence in reverse time sequence to obtain a first element with a maximum value and a second element with the maximum value, and marking the quantity of moments contained between the corresponding moments of the two elements as UTZn; forming a grain thermal sample area every UTZn time from the current time; dividing the grain thermal sample regions according to each element in the first thermal state sequence, marking the number of the grain thermal sample regions as N_DV, calculating and obtaining the sub-pressure sign quantity Trc at the current moment according to the grain thermal state quantity at the current moment and each grain thermal sample region in the first thermal state sequence,
；
wherein i1 is an accumulation variable, TUHSQ i1 ，BUHSQ i1 And EUHSQ i1 Respectively the maximum value, the minimum value and the median of the i1 st grain thermal sample region in the first thermal state sequence, wherein exp () is an exponential function with a natural constant e as a base;
the average value and the median value of the sub-compression characteristic quantity at each moment in the time period TE are respectively recorded as ETrc and MTrc, and a reject domain interval EQZone is constructed, wherein EQZone epsilon [ ETrc- |ETrc-MTrc|, ETrc+|ETrc-MTrc| ]; if Trc at a moment is in the reject domain interval, defining that reject mark occurs at the moment; eliminating all the moments of occurrence of elimination marks in a time period TE, and then calculating the crushing compression sign quantity: namely, the following crushing pressure sign calculation process is not combined with any variable corresponding to the removed moment; taking the average value of the sub-pressure sign quantity of each moment of a grain heat sample area as the thermal sign level of the grain heat sample area; if the heat sign level of one grain heat sample area is outside the balance interval, defining the grain heat sample area as a first grain heat sample area;
taking the average value of the heat state quantity of each grain in the first grain heat sample area as the heat level sub_UH of the first grain heat sample area; constructing a sequence by combining the grain heat level of each first grain heat sample area, namely SU_Ls, and recording the median number of each element in the SU_Ls as LsMid; taking the difference value between the maximum value and the minimum value of the temperature control standard value in SU_Ls as a crushing threshold value LsTsd of the sequence; obtaining the crushing pressure sign quantity PWEQ at the current moment according to the sub-pressure sign quantity calculation at the current moment:
；
where i2 is an accumulated variable, HF<>As a harmonic mean function, ln () is a logarithmic function with a natural constant e as a base; sub_uh i2 The heat level of the i2 th first heat sample zone is shown, and MTrc and ETrc are the maximum value and the median value of the sub-pressure sign quantity at each time in the period TE respectively.
Table 1 shows the comparison of the effects before and after the quality control method using the above-mentioned fish embrittlement pellet feed, wherein the comparative examples are feed pellets before the method is not used:
TABLE 1
；
Wherein the same row has no letter or the same letter of the data shoulder indicates that the difference is not significant (P > 0.05), and the different lower case letters indicate that the difference is significant (P < 0.05). The fish embrittlement pellet feed adopting the method can be intuitively found to have obvious superiority through the table, particularly the improvement of durability index and stability in water, the improvement of the durability index explains the relative capability of the pellet feed product in resisting impact in the conveying and carrying processes to a certain extent, the crushing risk of the feed is reduced, and the nutritional molecules of the embrittlement effect in the fish embrittlement pellet feed can be further ensured not to be influenced by external factors, so that the conversion effect of functional substances of the feed is improved.
The embodiment of the application provides a fish embrittlement feed quality control system, as shown in fig. 2, which is a structural diagram of the fish embrittlement feed quality control system of the application, and the fish embrittlement feed quality control system of the embodiment comprises: a processor, a memory and a computer program stored in the memory and executable on the processor, which processor, when executing the computer program, implements the steps of one of the embodiments of the fish meat embrittlement feed quality control system described above.
The system comprises: a memory, a processor, and a computer program stored in the memory and executable on the processor, the processor executing the computer program to run in units of the following system:
the scene construction unit is used for arranging a temperature measurement module in the granulator;
the temperature acquisition unit is used for acquiring temperature information in real time through the temperature measurement module;
the characteristic analysis unit is used for carrying out extrusion grain thermal characteristic analysis according to the temperature information to form crushing compression characteristic quantity;
and the dynamic scheduling unit is used for monitoring the quality of the performance of the temperature control module in the granulator by utilizing the crushing pressure characteristic quantity.
The fish embrittlement feed quality control system can be operated in computing equipment such as a desktop computer, a notebook computer, a palm computer, a cloud server and the like. The fish embrittlement feed quality control system may include, but is not limited to, a processor, a memory. It will be appreciated by those skilled in the art that the examples are merely examples of a fish meat embrittlement feed quality control system and are not limiting of a fish meat embrittlement feed quality control system, and that more or fewer components than examples may be included, or that certain components may be combined, or that different components may be included, for example, the fish meat embrittlement feed quality control system may also include input and output devices, network access devices, buses, etc.
The processor may be a central processing unit (Central Processing Unit, CPU), other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. The general purpose processor may be a microprocessor or the processor may be any conventional processor or the like, which is a control center of the fish meat embrittlement feed quality control system operation system, and which connects the various parts of the entire fish meat embrittlement feed quality control system operation system using various interfaces and lines.
The memory may be used to store the computer program and/or module, and the processor may implement the various functions of the fish embrittlement feed quality control system by running or executing the computer program and/or module stored in the memory, and invoking data stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program (such as a sound playing function, an image playing function, etc.) required for at least one function, and the like; the storage data area may store data (such as audio data, phonebook, etc.) created according to the use of the handset, etc. In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as a hard disk, memory, plug-in hard disk, smart Media Card (SMC), secure Digital (SD) Card, flash Card (Flash Card), at least one disk storage device, flash memory device, or other volatile solid-state storage device.
Although the present application has been described in considerable detail and with particularity with respect to several described embodiments, it is not intended to be limited to any such detail or embodiment or any particular embodiment so as to effectively cover the intended scope of the application. Furthermore, the foregoing description of the application has been presented in its embodiments contemplated by the inventors for the purpose of providing a useful description, and for the purposes of providing a non-essential modification of the application that may not be presently contemplated, may represent an equivalent modification of the application.
Claims (8)
1. A fish embrittlement feed quality control method, characterized in that the method comprises the following steps:
s100, arranging a temperature measuring module in a granulator;
s200, acquiring temperature information in real time through a temperature measuring module;
s300, performing extrusion grain thermal characteristic analysis according to temperature information to form crushing compression characteristic quantity;
s400, quality monitoring of performance of the temperature control module in the granulator is performed by using the crushing pressure sign quantity.
2. The fish embrittlement feed quality control method according to claim 1, wherein in step S100, the method of arranging the temperature measuring module in the granulator is: the infrared temperature measuring module is a temperature measuring instrument for measuring a target product, and the temperature measuring instrument is any one of an infrared thermometer, a temperature sensor, an infrared temperature measuring sensor or an NTC temperature sensor; the target product is the material extruded from the extrusion port of the extrusion mechanism in the granulator, or the target product is the material not extruded from the extrusion port of the extrusion mechanism in the granulator.
3. The fish embrittlement feed quality control method according to claim 1, wherein in step S200, the method for acquiring temperature information in real time through the temperature measuring module is: the temperature measuring module measures and obtains temperature value TMP in real time, wherein the number of extrusion ports in the granulator is NSQ, the average value, the maximum value and the minimum value of the temperature values obtained by all extrusion ports at the same moment are respectively recorded as ETMP, TTMP and BTMP, the granule heat state quantity UHSQ at the current moment is obtained by calculation,
；
wherein exp () is an exponential function with a natural constant e as a base, the thermal state quantity UHSQ is taken as temperature information at the current moment, and the acquisition interval of the temperature information is recorded as FTG, and FTG epsilon [1,5] seconds.
4. The fish embrittlement feed quality control method according to claim 1, wherein in step S300, the extrusion grain thermal characteristic analysis is performed according to the temperature information, and the method for forming the crushing crush sign amount is as follows:
taking a time period TE as an analysis time period, TE E [1,5]]The method comprises the steps of (1) constructing a sequence of the granule heat state quantity UHSQ obtained in a time period TE at each moment, marking the sequence as a heat state sequence, marking the median number of the granule heat state quantity at each moment in the heat state sequence as Gtve, and calculating a first heat state value Wevt at the current moment, wherein Wevt=lg| (UHSQ) T UHSQ)/Gtve, wherein UHSQ T Searching the first maximum value obtained from the current moment for the thermal characterization sequence; constructing a sequence of first thermal characterization values at each moment to be a first thermal characterization sequence, and recording the average value of each element in the first thermal characterization sequence as EWt to be Wevt j1 Represents the j1 st element in the first thermal signature sequence, when Wevt j1 EWT is not less than, the element is marked as highThe measuring point OWt is characterized in that a sequence is constructed by all high measuring points and is recorded as a high measuring sequence, the number of elements in the high measuring sequence is recorded as L_OWLs, and the crushing pressure sign quantity PWEQ at the current moment is obtained through calculation:
；
where j2 is an accumulated variable, OWt j2 The j 2-th high-test site of the high-test sequence is represented, EUHSQ represents the average value of the thermal characterization sequence, exp () is an exponential function with a natural constant e as a base.
5. The fish embrittlement feed quality control method according to claim 1, wherein in step S300, the extrusion grain thermal characteristic analysis is performed according to the temperature information, and the method for forming the crushing crush sign amount is as follows: taking a time period TE as an analysis time period, wherein TE is [1,5] hours, and the default value of TE is set to be 3;
constructing a sequence of grain thermal state quantity UHSQ obtained at each moment in a time period TE, marking the sequence as a first thermal state sequence, searching in the first thermal state sequence in reverse time sequence to obtain a first element with a maximum value and a second element with the maximum value, and marking the quantity of moments contained between the corresponding moments of the two elements as UTZn; forming a grain thermal sample area every UTZn time from the current time; dividing grain thermal sample areas according to each element in the first thermal state sequence, marking the number of the grain thermal sample areas as N_DV, and calculating to obtain sub-pressure sign quantity Trc at the current moment according to grain thermal state quantity at the current moment and each grain thermal sample area in the first thermal state sequence;
the average value and the median value of the sub-compression characteristic quantity at each moment in the time period TE are respectively recorded as ETrc and MTrc, and a reject domain interval EQZone is constructed, wherein EQZone epsilon [ ETrc- |ETrc-MTrc|, ETrc+|ETrc-MTrc| ]; if Trc at a moment is in the reject domain interval, defining that reject mark occurs at the moment; eliminating all the moments of occurrence of elimination marks in a time period TE, and then calculating the crushing compression sign quantity:
taking the average value of the sub-pressure sign quantity of each moment of a grain heat sample area as the thermal sign level of the grain heat sample area; if the thermal sign level of one grain thermal sample area is outside the balance area, defining the grain thermal sample area as a first grain thermal sample area, and taking the average value of the grain thermal sign amounts in the first grain thermal sample area as the grain thermal level sub_UH of the first grain thermal sample area; constructing a sequence by combining the grain heat level of each first grain heat sample area, namely SU_Ls, and recording the median number of each element in the SU_Ls as LsMid; taking the difference value between the maximum value and the minimum value of the temperature control standard value in SU_Ls as a crushing threshold value LsTsd of the sequence; and obtaining the crushing pressure sign quantity PWEQ at the current moment according to the sub pressure sign quantity calculation at the current moment.
6. The fish embrittlement feed quality control method according to claim 1, wherein in step S400, the quality monitoring method for the performance of the temperature control module in the granulator using the crushing pressure characterization amount is as follows: the method comprises the steps of continuously obtaining crushing pressure sign quantity PWEQ at each moment in a temperature measuring module, setting a time length as an abnormal scheduling window STG, carrying out adjustment analysis on each crushing pressure sign quantity in the latest STG time period, recording an arithmetic average value of each crushing pressure sign quantity in the abnormal scheduling window as an EPWEQ, defining that the monitored temperature control quality is abnormal if the EPWEQ is smaller than a set threshold value, stopping the operation of a granulator, and sending each crushing pressure sign quantity in the latest STG time period to a client as a temperature control quality monitoring log.
7. The fish embrittlement feed quality control method according to claim 1, wherein in step S400, the quality monitoring method for the performance of the temperature control module in the granulator using the crushing pressure characterization amount is as follows: the method comprises the steps of continuously obtaining crushing pressure sign quantity PWEQ at each moment in a temperature measuring module, setting a time length as an abnormal scheduling window STG, carrying out adjustment analysis on each crushing pressure sign quantity in the latest STG time period, recording an arithmetic average value of each crushing pressure sign quantity in the abnormal scheduling window as EPWEQ, and adjusting screw rotation power in an extruder according to a comparison relation between the crushing pressure sign quantity at each moment and the EPWEQ when the EPWEQ is larger than a set threshold value, and sending the EPWEQ to a client as a temperature control quality monitoring log, wherein the screw rotation power is the power of a motor for controlling screw rotation.
8. A fish embrittlement feed quality control system, characterized in that the fish embrittlement feed quality control system comprises: a processor, a memory and a computer program stored in the memory and executable on the processor, the processor implementing the steps in a fish meat embrittlement feed quality control method according to any one of claims 1 to 7 when the computer program is executed, the fish meat embrittlement feed quality control system being run in a computing device of a desktop computer, a notebook computer, a palm computer and a cloud data center.
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