CN117590788A - Soybean sauce production workshop environment monitoring system based on sterilization control - Google Patents
Soybean sauce production workshop environment monitoring system based on sterilization control Download PDFInfo
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- 238000004519 manufacturing process Methods 0.000 title claims abstract description 319
- 230000001954 sterilising effect Effects 0.000 title claims abstract description 76
- 238000004659 sterilization and disinfection Methods 0.000 title claims abstract description 58
- 238000012544 monitoring process Methods 0.000 title claims abstract description 46
- 235000010469 Glycine max Nutrition 0.000 title description 12
- 244000068988 Glycine max Species 0.000 title description 2
- 235000015067 sauces Nutrition 0.000 title description 2
- 235000013555 soy sauce Nutrition 0.000 claims abstract description 264
- 238000001514 detection method Methods 0.000 claims abstract description 136
- 238000011156 evaluation Methods 0.000 claims abstract description 60
- 244000005700 microbiome Species 0.000 claims abstract description 51
- 238000004458 analytical method Methods 0.000 claims abstract description 43
- 230000007613 environmental effect Effects 0.000 claims abstract description 14
- 238000004364 calculation method Methods 0.000 claims description 49
- 241000233866 Fungi Species 0.000 claims description 28
- 230000006378 damage Effects 0.000 claims description 27
- 230000001580 bacterial effect Effects 0.000 claims description 22
- 238000011897 real-time detection Methods 0.000 claims description 17
- 241000607479 Yersinia pestis Species 0.000 claims description 13
- 230000002159 abnormal effect Effects 0.000 claims description 13
- 238000000034 method Methods 0.000 claims description 13
- 239000002699 waste material Substances 0.000 claims description 13
- 238000012545 processing Methods 0.000 claims description 10
- 230000001133 acceleration Effects 0.000 claims description 9
- 239000000428 dust Substances 0.000 claims description 8
- 238000004891 communication Methods 0.000 claims description 7
- 238000009826 distribution Methods 0.000 claims description 6
- 230000001105 regulatory effect Effects 0.000 claims description 4
- 238000010606 normalization Methods 0.000 claims description 3
- 238000007689 inspection Methods 0.000 claims description 2
- 208000027418 Wounds and injury Diseases 0.000 description 8
- 208000014674 injury Diseases 0.000 description 8
- 230000000813 microbial effect Effects 0.000 description 3
- 238000012797 qualification Methods 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 239000013256 coordination polymer Substances 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000011835 investigation Methods 0.000 description 2
- 239000002994 raw material Substances 0.000 description 2
- 238000012549 training Methods 0.000 description 2
- 244000046052 Phaseolus vulgaris Species 0.000 description 1
- 235000010627 Phaseolus vulgaris Nutrition 0.000 description 1
- 241000209140 Triticum Species 0.000 description 1
- 235000021307 Triticum Nutrition 0.000 description 1
- 230000006399 behavior Effects 0.000 description 1
- 238000005265 energy consumption Methods 0.000 description 1
- 230000002708 enhancing effect Effects 0.000 description 1
- 238000000855 fermentation Methods 0.000 description 1
- 230000004151 fermentation Effects 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 235000011194 food seasoning agent Nutrition 0.000 description 1
- 239000007788 liquid Substances 0.000 description 1
- 238000002156 mixing Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 150000003839 salts Chemical class 0.000 description 1
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
- G05B19/0428—Safety, monitoring
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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Abstract
The invention belongs to the technical field of soy sauce production supervision, in particular to a soy sauce production workshop environment monitoring system based on sterilization control, which comprises a server, a workshop sterilization control module, an empty quality detection evaluation module, a comprehensive supervision evaluation module and a background early warning end; according to the invention, the microorganisms in the soy sauce production workshop are monitored and analyzed through the workshop sterilization management and control module, the matched sterilization mode is determined, the air quality detection and evaluation module is used for carrying out auxiliary monitoring and analysis on the environmental quality of the soy sauce production workshop and carrying out global regulation or local regulation, the workshop personnel detection module is used for monitoring the soy sauce production workshop and identifying early warning personnel, so that the soy sauce production process is in a proper environment, and the comprehensive supervision and evaluation module is used for comprehensively evaluating the environmental supervision condition of the soy sauce production workshop, so that the environmental supervision and personnel management and control of the soy sauce production workshop are enhanced in time, the soy sauce production efficiency and the quality of produced soy sauce products are further ensured, and the management difficulty is reduced.
Description
Technical Field
The invention relates to the technical field of soy sauce production supervision, in particular to a soy sauce production workshop environment monitoring system based on sterilization management and control.
Background
The soy sauce is salty liquid seasoning brewed by beans, wheat and salt, and is usually produced and processed by a soy sauce production workshop, the soy sauce production workshop generally comprises a plurality of production lines, the soy sauce production line integrates equipment of a plurality of links such as raw material treatment, fermentation, filtration, concentration, blending and filling, and environmental monitoring is needed to be carried out on the soy sauce production workshop in the soy sauce production process so as to ensure the sanitary quality of the soy sauce production process;
in the traditional soy sauce production process, the environment of a production workshop is not effectively monitored and managed, the microbial condition and the air environment condition of the workshop cannot be reasonably evaluated and the corresponding regulation and control equipment cannot be intelligently controlled, the environment supervision condition of the soy sauce production workshop cannot be accurately judged, the environment management difficulty of the soy sauce production workshop is increased, the production efficiency is not guaranteed, and the quality of produced soy sauce products is improved;
in view of the above technical drawbacks, a solution is now proposed.
Disclosure of Invention
The invention aims to provide a soy sauce production workshop environment monitoring system based on sterilization management and control, which solves the problems that the prior art cannot reasonably evaluate the microbial condition and the air environment condition of a workshop and intelligently control corresponding regulation and control equipment, cannot accurately judge the environment supervision condition of a soy sauce production workshop, and is unfavorable for guaranteeing the production efficiency and the product quality.
In order to achieve the above purpose, the present invention provides the following technical solutions:
a soy sauce production workshop environment monitoring system based on sterilization control comprises a server, a workshop sterilization control module, an air quality detection evaluation module, a comprehensive supervision evaluation module and a background early warning end; the workshop sterilization management and control module monitors microorganisms in the soy sauce production workshop, judges whether the soy sauce production workshop is in a flora active state through analysis, sends judging information to a background early warning end through a server, determines a matched sterilization mode, intelligently controls sterilization equipment in the soy sauce production workshop based on the determined sterilization mode, and sends the determined sterilization mode to the background early warning end through the server;
the empty quality detection and evaluation module is used for carrying out auxiliary monitoring on the environmental quality of the soy sauce production workshop, judging whether the soy sauce production workshop is in an empty quality grade state or not through analysis, sending judging information to a background early warning end through a server, carrying out global regulation and control on the air environment of the soy sauce production workshop when the soy sauce production workshop is in the empty quality grade state, and carrying out local regulation and control on the air environment of the soy sauce production workshop according to the need when the soy sauce production workshop is not in the empty quality grade state; the comprehensive supervision and evaluation module carries out comprehensive evaluation on the environment supervision condition of the soy sauce production workshop, generates a supervision unqualified signal or a supervision qualified signal through analysis, and sends the supervision unqualified signal or the supervision unqualified signal to the background early warning end through the server.
Further, the specific operation process of the workshop sterilization management and control module comprises the following steps:
acquiring a workshop fungus injury evaluation value of a soy sauce production workshop through microorganism detection analysis, comparing the workshop fungus injury evaluation value with a preset workshop fungus injury evaluation threshold value, and judging that the soy sauce production workshop is in a fungus group active state if the workshop fungus injury evaluation value exceeds the preset workshop fungus injury evaluation threshold value; if the soy sauce production workshop is judged not to be in the flora active state, sterilizing equipment in the soy sauce production workshop is in a low-efficiency sterilizing mode;
if the soy sauce production workshop is judged to be in a flora active state, subtracting a preset workshop bacterial pest evaluation threshold value from a workshop bacterial pest evaluation value to obtain a bacterial pest overestimation value; comparing the fungus damage super-amplitude value with a preset fungus damage super-amplitude threshold value, and enabling sterilizing equipment in a soy sauce production workshop to be in a high-efficiency sterilizing state if the fungus damage super-amplitude value exceeds the preset fungus damage super-amplitude threshold value; if the fungus damage exceeding value does not exceed the preset fungus damage exceeding threshold value, sterilizing equipment in the soy sauce production workshop is in a medium-efficiency sterilizing state.
Further, the specific analysis procedure of the microorganism detection analysis is as follows:
acquiring microorganism real-time detection data and microorganism acceleration data of a plurality of monitoring points in a soy sauce production workshop, respectively comparing the microorganism real-time detection data and the microorganism acceleration data with a preset microorganism real-time detection data threshold value and a microorganism acceleration data threshold value in a numerical mode, and marking the corresponding monitoring points as flora active points if the microorganism real-time detection data or the microorganism acceleration data exceeds the corresponding preset threshold value; if the real-time detection data of the microorganisms and the speed-up data of the microorganisms do not exceed the corresponding preset threshold values, marking the corresponding monitoring points as flora safety points, and marking the ratio result of the number of flora active points to the number of flora safety points in a soy sauce production workshop as a flora distribution detection value; and the microorganism real-time detection data of all monitoring points are subjected to mean value calculation to obtain a microorganism detection value of the soy sauce workshop, and the microorganism detection value and the flora distribution detection value of the soy sauce workshop are subjected to numerical calculation to obtain a workshop fungus damage evaluation value.
Further, the specific operation process of the air quality detection and evaluation module comprises the following steps:
collecting dust expression data, humidity expression data and temperature expression data of corresponding areas in a soy sauce production workshop, and carrying out numerical calculation on the dust expression data, the humidity expression data and the temperature expression data to obtain environment auxiliary detection values of the corresponding areas; comparing the environment auxiliary detection value with a preset environment auxiliary detection threshold value, and marking the corresponding area as an environment to-be-adjusted area if the environment auxiliary detection value exceeds the preset environment auxiliary detection threshold value;
obtaining the areas of all the areas of the environment to-be-adjusted state areas in the soy sauce production workshop, carrying out summation calculation, and carrying out ratio calculation on the summation result and the workshop area of the soy sauce production workshop to obtain the occupation value of the empty to-be-adjusted area; performing average value calculation on the environment auxiliary detection values of all the environment to-be-regulated areas to obtain environment auxiliary evaluation values, and performing numerical calculation on the environment auxiliary evaluation values and the occupation values of the empty quality to-be-regulated areas to obtain workshop empty quality decision values; and comparing the workshop empty quality decision value with a preset workshop empty quality decision threshold value, and judging that the soy sauce production workshop is in an empty quality grade state if the workshop empty quality decision value exceeds the preset workshop empty quality decision threshold value.
Further, the server is in communication connection with a workshop staff detection module, the workshop staff detection module acquires a conveying path of a product in a soy sauce production workshop, acquires a walking path of a staff in the soy sauce production workshop in real time through a camera, marks the superposition length of the walking path of the corresponding workshop staff and the conveying path of the product as an influence path length value, and acquires the walking stay time of the workshop staff on the conveying path of the product and marks the walking stay time as an influence time detection value;
and respectively comparing the influence path length value and the influence time detection value of the corresponding workshop personnel with a preset influence path length threshold value and a preset influence time detection threshold value, marking the corresponding workshop personnel as early warning personnel if the influence path length value or the influence time detection value exceeds the corresponding preset threshold value, adding and storing the times of marking the workshop personnel as the early warning personnel by the server, and sending the information of the early warning personnel to a background early warning end by the server.
Further, the specific operation process of the comprehensive supervision and evaluation module comprises the following steps:
setting a supervision period, acquiring the times of marking corresponding workshop staff in a soy sauce production workshop as early warning staff in the supervision period, marking the times as early warning staff frequency values, summing all the early warning staff frequency values in the supervision period to obtain an early warning total frequency value, comparing the early warning staff frequency value of the corresponding workshop staff with a preset early warning staff frequency threshold value in a numerical mode, and marking the corresponding workshop staff as high-influence staff if the early warning staff frequency value exceeds the preset early warning staff frequency threshold value;
the number of workshop personnel marked as early warning personnel in the supervision period is marked as an early warning personnel analysis value, and the ratio of the number of high-influence personnel in the supervision period to the early warning personnel analysis value is marked as a high-influence personnel detection value; and carrying out numerical calculation on the early warning total frequency value, the early warning personnel analysis value and the high influence personnel detection value to obtain a workshop personnel control value, carrying out numerical comparison on the workshop personnel control value and a preset workshop personnel control threshold, and generating a supervision disqualification signal if the workshop personnel control value exceeds the preset workshop personnel control threshold.
Further, if the workshop personnel control value does not exceed a preset workshop personnel control threshold, collecting the time length of each time in the flora active state in the soy sauce production workshop in the supervision period, marking the time length as a flora active single-hold value, carrying out summation calculation on all flora active single-hold values in the supervision period to obtain a flora active total value, and carrying out average calculation on all flora active single-hold values in the supervision period to obtain a flora active time analysis value;
collecting the time length of each empty quality grade state in a soy sauce production workshop in a supervision period, marking the time length as an empty quality grade single-holding value, carrying out summation calculation on all the empty quality grade single-holding values in the supervision period to obtain an empty quality grade total value, and carrying out average calculation on all the empty quality grade single-holding values in the supervision period to obtain an empty quality grade time analysis value; carrying out normalization calculation on the total bacterial community active time value, the bacterial community active time analysis value, the empty quality grade total time value, the empty quality grade time analysis value and the workshop personnel control value to obtain a soy sauce workshop supervision value, carrying out numerical comparison on the soy sauce workshop supervision value and a preset soy sauce workshop supervision threshold, and generating a supervision unqualified signal if the soy sauce workshop supervision value exceeds the preset soy sauce workshop supervision threshold; and if the supervision value of the soy sauce workshop does not exceed the preset supervision threshold value of the soy sauce workshop, generating a supervision qualified signal.
Further, the server is in communication connection with the soy sauce production management module, the server sends a supervision qualified signal to the soy sauce production management module, the soy sauce production management module obtains all soy sauce production lines of a soy sauce production workshop, obtains failure production stopping frequency, failure production stopping total time length and soy sauce production total time length of the corresponding soy sauce production lines in a supervision period, obtains soy sauce processing data and waste material data of the corresponding soy sauce production lines in the supervision period, marks the ratio of the soy sauce processing data to the soy sauce production total time length as a soy sauce adding value, and marks the ratio of the waste material data to the soy sauce processing total time length as a soy sauce waste detection value;
performing numerical calculation on the failure production stopping frequency, the failure production stopping total time length, the soy sauce adding effect value and the soy sauce waste detection value to obtain a production line detection value corresponding to a soy sauce production line, performing mean value calculation and variance calculation on all production line detection values of a soy sauce production workshop to obtain a production line detection table value and a production line detection value, respectively performing numerical comparison on the production line detection table value and the production line detection value with a preset production line detection table threshold value and a preset production line detection threshold value, and generating workshop production abnormal signals if the production line detection table value exceeds the preset production line detection table threshold value and the production line detection value does not exceed the preset production line detection threshold value; if the line detection value does not exceed the preset line detection threshold and the line detection value does not exceed the preset line detection threshold, generating a workshop production normal signal;
otherwise, marking the ratio of the soy sauce production line with the production line detection value exceeding a preset production line detection threshold as a different line occupation detection value, and carrying out numerical calculation on the different line occupation detection value and the production line gauge value to obtain a workshop production management value; comparing the workshop production management value with a preset workshop production management threshold value in a numerical mode, and generating a workshop production abnormal signal if the workshop production management value exceeds the preset workshop production management threshold value; if the workshop production management value does not exceed the preset workshop production management threshold, generating a workshop production normal signal; and the workshop production normal signal or the workshop production abnormal signal is sent to a background early warning terminal through a server.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the invention, microorganisms in a soy sauce production workshop are monitored through a workshop sterilization management control module, whether the soy sauce production workshop is in a flora active state is judged through analysis, a matched sterilization mode is determined, intelligent control is carried out on sterilization equipment of the soy sauce production workshop, the environment quality of the soy sauce production workshop is monitored in an auxiliary mode through an empty quality detection evaluation module, whether the soy sauce production workshop is in an empty quality state is judged through analysis, the air environment of the soy sauce production workshop is subjected to global regulation or local regulation, the personnel walking of the soy sauce production workshop is monitored and early warning personnel are identified through a workshop personnel detection module, the effective monitoring and management on the microorganism condition, the air environment condition and the personnel walking condition of the soy sauce production workshop are realized, the soy sauce production process is in a proper environment, the environmental safety of the soy sauce production workshop is ensured, and the soy sauce quality is improved;
2. according to the invention, the comprehensive supervision and evaluation module is used for comprehensively evaluating the environment supervision condition of the soy sauce production workshop, the environment supervision and personnel management of the soy sauce production workshop are enhanced when the supervision unqualified signal is generated, the soy sauce production efficiency and the quality of produced soy sauce products are guaranteed, the environment management difficulty of the soy sauce production workshop is reduced, the production conditions of all soy sauce production lines of the soy sauce production workshop are detected and analyzed through the soy sauce production management module when the supervision qualified signal is generated, the reason investigation and tracing are timely carried out after the abnormal signal is generated in the soy sauce production workshop, the equipment supervision and personnel training of the soy sauce production workshop are enhanced, and the production efficiency and the product quality of the soy sauce production workshop are further guaranteed.
Drawings
For the convenience of those skilled in the art, the present invention will be further described with reference to the accompanying drawings;
FIG. 1 is a system block diagram of a first embodiment of the present invention;
fig. 2 is a system block diagram of a second embodiment 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.
Embodiment one: as shown in fig. 1, the soy sauce production workshop environment monitoring system based on sterilization control provided by the invention comprises a server, a workshop sterilization control module, an empty quality detection evaluation module, a comprehensive supervision evaluation module and a background early warning end, wherein the server is in communication connection with the workshop sterilization control module, the empty quality detection evaluation module, the comprehensive supervision evaluation module and the background early warning end;
the workshop sterilization management and control module monitors microorganisms in the soy sauce production workshop, judges whether the soy sauce production workshop is in a flora active state through analysis, sends judging information to a background early warning end through a server, determines a matched sterilization mode, intelligently controls sterilization equipment in the soy sauce production workshop based on the determined sterilization mode, effectively ensures sterilization efficiency and sterilization effect of the soy sauce production workshop, simultaneously helps to reduce energy consumption of the sterilization equipment so as to save cost and energy, and sends the determined sterilization mode to the background early warning end through the server; the specific operation process of the workshop sterilization management and control module is as follows:
the method comprises the steps of obtaining a workshop fungus injury evaluation value of a soy sauce production workshop through microorganism detection and analysis, wherein the workshop fungus injury evaluation value is specifically as follows: acquiring microorganism real-time detection data and microorganism speed-increasing data of a plurality of monitoring points in a soy sauce production workshop, wherein the microorganism real-time detection data are data magnitude values representing the quantity of microorganisms of the monitoring points, and the microorganism speed-increasing data are data magnitude values representing the quantity increase of the microorganisms in unit time of the monitoring points; respectively comparing the microorganism real-time detection data and the microorganism acceleration data with a preset microorganism real-time detection data threshold value and a microorganism acceleration data threshold value in a numerical value mode, and marking the corresponding monitoring point as a flora active point if the microorganism real-time detection data or the microorganism acceleration data exceeds the corresponding preset threshold value;
if the real-time detection data of the microorganisms and the speed-up data of the microorganisms do not exceed the corresponding preset threshold values, marking the corresponding monitoring points as flora safety points, and marking the ratio result of the number of flora active points to the number of flora safety points in a soy sauce production workshop as a flora distribution detection value; the method comprises the steps of performing average calculation on microorganism real-time detection data of all monitoring points to obtain a microorganism detection value of a soy sauce workshop, and performing numerical calculation on the microorganism detection value WF and a flora distribution detection value WG of the soy sauce workshop to obtain a workshop fungus damage evaluation value WX through a formula WX=a1 xWF+a2 xWG; wherein a1 and a2 are preset proportionality coefficients, and a2 is more than a1 and more than 0; and, the larger the value of the workshop fungus injury evaluation value WX is, the worse the sterilization performance of the soy sauce production workshop is;
comparing the workshop bacterial pest evaluation value WX with a preset workshop bacterial pest evaluation threshold value, and judging that the soy sauce production workshop is in a bacterial colony active state if the workshop bacterial pest evaluation value WX exceeds the preset workshop bacterial pest evaluation threshold value, so that the sterilization of the soy sauce production workshop needs to be enhanced in time; if the soy sauce production workshop is judged not to be in the flora active state, sterilizing equipment in the soy sauce production workshop is in a low-efficiency sterilizing mode;
if the soy sauce production workshop is judged to be in a flora active state, subtracting a preset workshop bacterial pest evaluation threshold value from a workshop bacterial pest evaluation value to obtain a bacterial pest overestimation value; comparing the fungus damage super-amplitude value with a preset fungus damage super-amplitude threshold value, and enabling sterilizing equipment in a soy sauce production workshop to be in a high-efficiency sterilizing state if the fungus damage super-amplitude value exceeds the preset fungus damage super-amplitude threshold value; if the fungus damage exceeding value does not exceed the preset fungus damage exceeding threshold value, enabling sterilizing equipment in the soy sauce production workshop to be in a medium-efficiency sterilizing state; the sterilization efficiency of the high-efficiency sterilization state of the sterilization equipment is higher than that of the medium-efficiency sterilization state, and the sterilization efficiency of the medium-efficiency sterilization state is higher than that of the low-efficiency sterilization state.
The empty quality detection and evaluation module is used for carrying out auxiliary monitoring on the environmental quality of the soy sauce production workshop, judging whether the soy sauce production workshop is in an empty quality grade state or not through analysis, sending judging information to a background early warning end through a server, carrying out global regulation and control on the air environment of the soy sauce production workshop when judging that the soy sauce production workshop is in the empty quality grade state, carrying out local regulation and control on the air environment of the soy sauce production workshop according to the requirement when judging that the soy sauce production workshop is not in the empty quality grade state, facilitating management on the air environment of the soy sauce production workshop, reducing the environmental management difficulty of the soy sauce production workshop, being beneficial to enabling the soy sauce production process to be in a proper environment, further ensuring the environmental safety of the soy sauce production workshop and improving the soy sauce quality; the specific operation process of the air quality detection and evaluation module is as follows:
collecting dust expression data, humidity expression data and temperature expression data of a corresponding area in a soy sauce production workshop, wherein the dust expression data is a data value representing the concentration of dust in the corresponding area, the humidity expression data is a data value representing the deviation degree of air humidity in the corresponding area compared with the preset standard environment humidity, and the temperature expression data is a data value representing the deviation degree of air temperature in the corresponding area compared with the preset standard environment temperature;
by the formulaCarrying out numerical calculation on dust expression data XD, humidity expression data XY and temperature expression data XK to obtain an environment auxiliary detection value XF of a corresponding area; wherein yh1, yh2 and yh3 are preset proportionality coefficients, and yh1 > yh3 > yh2 > 0; and the larger the value of the environment auxiliary detection value XF is, the worse the air environment condition of the corresponding area is, and the soy sauce production is not facilitated; the environment auxiliary detection value XF is compared with a preset environment auxiliary detection threshold value in a numerical value mannerIf the environment auxiliary detection value XF exceeds a preset environment auxiliary detection threshold value, indicating that the air environment condition of the corresponding area is poor, marking the corresponding area as an environment to-be-adjusted area;
obtaining the areas of all the areas of the environment to-be-adjusted state areas in the soy sauce production workshop, carrying out summation calculation, and carrying out ratio calculation on the summation result and the workshop area of the soy sauce production workshop to obtain the occupation value of the empty to-be-adjusted area; performing average value calculation on the environment auxiliary detection values of all the environment to-be-adjusted areas to obtain environment auxiliary evaluation values, and performing numerical calculation on the environment auxiliary evaluation values KP and the space occupation value KY of the space to-be-adjusted areas to obtain a workshop space decision value KZ through a formula KZ=ew1 KP/ew2+ew2 KY;
wherein, ew1 and ew2 are preset proportionality coefficients, and the ratio of the ew2 to the ew1 is more than 0; in addition, the larger the value of the workshop air quality decision value KZ is, the worse the air environment condition of the soy sauce production workshop is, the less the quality of the produced soy sauce is promoted, and the safe, stable and efficient operation of the production process is ensured; and comparing the workshop empty quality decision value KZ with a preset workshop empty quality decision threshold value, and judging that the soy sauce production workshop is in an empty quality inferior state if the workshop empty quality decision value KZ exceeds the preset workshop empty quality decision threshold value, which indicates that the overall air environment condition of the soy sauce production workshop is worse.
Further, the server is in communication connection with a workshop staff detection module, the workshop staff detection module acquires a conveying path of a product (comprising soy sauce raw materials and soy sauce finished products) in a soy sauce production workshop, acquires a walking path of a staff in the soy sauce production workshop in real time through a camera, marks the superposition length of the walking path of the corresponding workshop staff and the conveying path of the product as an influence path length value, and acquires the walking stay time of the workshop staff on the conveying path of the product and marks the walking stay time as an influence time detection value;
and respectively comparing the influence path length value and the influence time detection value of the corresponding workshop personnel with a preset influence path length threshold value and a preset influence time detection threshold value, if the influence path length value or the influence time detection value exceeds the corresponding preset threshold value, marking the corresponding workshop personnel as early warning personnel, adding and storing the times of marking the workshop personnel as the early warning personnel by a server, and sending the information of the early warning personnel to a background early warning end by the server so as to timely correct the behaviors of the corresponding workshop personnel by a manager, and reducing the management difficulty.
The comprehensive supervision and evaluation module carries out comprehensive evaluation on the environment supervision condition of the soy sauce production workshop, generates a supervision disqualification signal or a supervision qualification signal through analysis, and sends the supervision disqualification signal or the supervision disqualification signal to a background early warning end through a server, and the background supervision end sends out corresponding early warning when receiving the supervision disqualification signal, so that management staff can timely make improvement measures, including strengthening the environment supervision and personnel management and control of the soy sauce production workshop, thereby effectively ensuring the soy sauce production efficiency and the quality of the produced soy sauce product; the specific operation process of the comprehensive supervision and evaluation module is as follows:
setting a supervision period, preferably seven days; acquiring the times of marking corresponding workshop staff in a soy sauce production workshop as early warning staff in a supervision period, marking the times as early warning staff frequency values, carrying out summation calculation on all the early warning staff frequency values in the supervision period to obtain an early warning total frequency value, carrying out numerical comparison on the early warning staff frequency values corresponding to the workshop staff with a preset early warning staff frequency threshold value, and marking the corresponding workshop staff as high-influence staff if the early warning staff frequency value exceeds the preset early warning staff frequency threshold value;
the number of workshop personnel marked as early warning personnel in the supervision period is marked as an early warning personnel analysis value, and the ratio of the number of high-influence personnel in the supervision period to the early warning personnel analysis value is marked as a high-influence personnel detection value; by the formulaCarrying out numerical calculation on the pre-warning total frequency value HZ, the pre-warning human analysis value HF and the high-influence human detection value HG to obtain a workshop human control value HX, wherein ty1, ty2 and ty3 are preset proportionality coefficients, and ty3 is more than ty2 is more than ty1 and more than 0; moreover, the larger the numerical value of the workshop manual control value HX is, the worse the personnel control condition of the soy sauce production workshop is indicated in the supervision period; comparing the workshop manual control value HX with a preset workshop manual control threshold value, and if the workshop manual control value HX exceeds the preset workshop manual control threshold value, indicating supervisionThe personnel management and control conditions of the soy sauce production workshop are poor in the period, and a supervision disqualification signal is generated;
if the workshop manual control value HX does not exceed a preset workshop manual control threshold value, collecting the time length of each time in the flora active state in the soy sauce production workshop in the supervision period, marking the time length as a flora active single-hold value, carrying out summation calculation on all flora active single-hold values in the supervision period to obtain a flora active total value, and carrying out average calculation on all flora active single-hold values in the supervision period to obtain a flora active time analysis value; collecting the time length of each empty quality grade state in a soy sauce production workshop in a supervision period, marking the time length as an empty quality grade single-holding value, carrying out summation calculation on all the empty quality grade single-holding values in the supervision period to obtain an empty quality grade total value, and carrying out average calculation on all the empty quality grade single-holding values in the supervision period to obtain an empty quality grade time analysis value;
by the formulaCarrying out normalization calculation on a flora active total time value FM, a flora active time analysis value FT, an empty quality grade total time value FY, an empty quality grade time analysis value FW and a workshop manual control value HX to obtain a soy sauce workshop supervision value FK, wherein ep1, ep2, ep3, ep4 and ep5 are preset proportion coefficients with values larger than zero, and the larger the numerical value of the soy sauce workshop supervision value FK is, the worse the supervision performance of the soy sauce workshop is indicated;
comparing the soy sauce workshop supervision value FK with a preset soy sauce workshop supervision threshold value, and generating a supervision disqualification signal if the soy sauce workshop supervision value FK exceeds the preset soy sauce workshop supervision threshold value, which indicates that supervision performance on a soy sauce production workshop is poor; and if the monitoring value FK of the soy sauce workshop does not exceed the preset monitoring threshold value of the soy sauce workshop, indicating that the monitoring performance of the soy sauce production workshop is better, generating a monitoring qualified signal.
Embodiment two: as shown in fig. 2, the difference between the present embodiment and embodiment 1 is that the server is in communication connection with the soy sauce production management module, the server transmits a supervision qualification signal to the soy sauce production management module, the soy sauce production management module acquires all soy sauce production lines of the soy sauce production plant, and acquires a failure stop frequency, a failure stop total duration and a soy sauce production total duration of the corresponding soy sauce production lines in a supervision period, wherein the failure stop frequency is a data value representing the number of times the soy sauce production lines stop producing due to failure, and the failure stop total duration is a data value representing the total duration of the soy sauce production lines stop producing due to failure;
and acquiring soy processing data and waste data corresponding to the soy production line in the monitoring period, wherein the soy processing data is a data value representing the amount of soy produced in the monitoring period, and the waste data is a data value representing the amount of soy scrapped in the monitoring period; marking the ratio of soy processing data to the total soy production time as a soy adding value, and marking the ratio of waste data to the total soy processing time as a soy waste inspection value;
calculating the failure production stopping frequency CF, the failure total production stopping time CW, the soy sauce adding value CP and the soy sauce waste detection value CK according to a formula CX= (fd 1. Times. CF+fd 2. Times. CW+fd 4. Times. CK)/(fd 3. Times. CP+1.327), wherein fd1, fd2, fd3 and fd4 are preset proportional coefficients, and the values of fd1, fd2, fd3 and fd4 are all larger than zero; and, the larger the value of the production line detection value CX is, the worse the production performance of the corresponding soy sauce production line in the supervision period is;
performing mean value calculation and variance calculation on all production line detection values of a soy sauce production workshop to obtain a production line detection table value and a production line detection value, respectively performing numerical comparison on the production line detection table value and the production line detection value with a preset production line detection table threshold value and a preset production line detection threshold value, and generating a workshop production abnormal signal if the production line detection table value exceeds the preset production line detection table threshold value and the production line detection value does not exceed the preset production line detection threshold value, which indicates that the production condition of the soy sauce production workshop in a supervision period is poor as a whole; if the production line detection value does not exceed the preset production line detection threshold value and the production line detection value does not exceed the preset production line detection threshold value, indicating that the production condition of the soy sauce production workshop in the supervision period is good as a whole, generating a workshop production normal signal;
otherwise, marking the ratio of the soy sauce production line with the production line detection value exceeding a preset production line detection threshold as an abnormal line occupation detection value, and carrying out numerical calculation on the abnormal line occupation detection value CZ and the production line detection table value CM through a formula CQ=b1, CZ+b2 and CM/b1 to obtain a workshop production management value CQ; wherein b1 and b2 are preset proportionality coefficients, and b1 is more than b2 and more than 0.37; and, the larger the value of the workshop production management value CQ, the worse the production condition of the soy sauce production workshop in the supervision period is indicated as a whole;
comparing the workshop production management value with a preset workshop production management threshold value, and generating a workshop production abnormal signal if the workshop production management value exceeds the preset workshop production management threshold value, which indicates that the production condition of the soy sauce production workshop in a supervision period is poor as a whole; if the workshop production management value does not exceed the preset workshop production management threshold value, indicating that the production condition of the soy sauce production workshop in the supervision period is good as a whole, generating a workshop production normal signal; and the workshop production normal signal or the workshop production abnormal signal is sent to a background early warning end through a server, the background early warning end sends out corresponding early warning when receiving the workshop production abnormal signal, and a manager timely performs reason investigation and tracing and subsequently strengthens equipment supervision and personnel training of the soy sauce production workshop, so that the production efficiency and the product quality of the soy sauce production workshop are further guaranteed.
The working principle of the invention is as follows: when the system is used, microorganisms in a soy sauce production workshop are monitored through a workshop sterilization management and control module, whether the soy sauce production workshop is in a flora active state is judged through analysis, a matched sterilization mode is determined, intelligent control is carried out on sterilization equipment in the soy sauce production workshop, the environment quality of the soy sauce production workshop is monitored in an auxiliary mode through an empty quality detection and evaluation module, whether the soy sauce production workshop is in an empty quality state is judged through analysis, the air environment of the soy sauce production workshop is subjected to global regulation or local regulation, the personnel walking of the soy sauce production workshop is monitored through a workshop personnel detection module, and whether corresponding workshop personnel are early warning personnel is judged, so that the effective monitoring and management on the microbial condition, the air environment condition and the personnel walking condition of the soy sauce production workshop are realized, the soy sauce production process is facilitated to be in a proper environment, the environmental safety of the soy sauce production workshop is ensured, and the soy sauce quality is improved; and comprehensively evaluating the environmental supervision condition of the soy sauce production workshop through the comprehensive supervision evaluation module, generating a supervision disqualification signal or a supervision qualification signal through analysis, and enhancing the environmental supervision and personnel management of the soy sauce production workshop when the supervision disqualification signal is generated, thereby further ensuring the soy sauce production efficiency and the quality of produced soy sauce products and reducing the environmental management difficulty of the soy sauce production workshop.
The above formulas are all formulas with dimensions removed and numerical values calculated, the formulas are formulas with a large amount of data collected for software simulation to obtain the latest real situation, and preset parameters in the formulas are set by those skilled in the art according to the actual situation. The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (8)
1. The soy sauce production workshop environment monitoring system based on sterilization control is characterized by comprising a server, a workshop sterilization control module, an empty quality detection evaluation module, a comprehensive supervision evaluation module and a background early warning end; the workshop sterilization management and control module monitors microorganisms in the soy sauce production workshop, judges whether the soy sauce production workshop is in a flora active state through analysis, sends judging information to a background early warning end through a server, determines a matched sterilization mode, intelligently controls sterilization equipment in the soy sauce production workshop based on the determined sterilization mode, and sends the determined sterilization mode to the background early warning end through the server;
the empty quality detection and evaluation module is used for carrying out auxiliary monitoring on the environmental quality of the soy sauce production workshop, judging whether the soy sauce production workshop is in an empty quality grade state or not through analysis, sending judging information to a background early warning end through a server, carrying out global regulation and control on the air environment of the soy sauce production workshop when the soy sauce production workshop is in the empty quality grade state, and carrying out local regulation and control on the air environment of the soy sauce production workshop according to the need when the soy sauce production workshop is not in the empty quality grade state; the comprehensive supervision and evaluation module carries out comprehensive evaluation on the environment supervision condition of the soy sauce production workshop, generates a supervision unqualified signal or a supervision qualified signal through analysis, and sends the supervision unqualified signal or the supervision unqualified signal to the background early warning end through the server.
2. The soy sauce production plant environment monitoring system based on sterilization control according to claim 1, wherein the specific operation process of the plant sterilization control module comprises:
acquiring a workshop bacterial hazard evaluation value of the soy sauce production workshop through microorganism detection analysis, and judging that the soy sauce production workshop is in a bacterial colony active state if the workshop bacterial hazard evaluation value exceeds a preset workshop bacterial hazard evaluation threshold; if the soy sauce production workshop is judged not to be in the flora active state, sterilizing equipment in the soy sauce production workshop is in a low-efficiency sterilizing mode;
if the soy sauce production workshop is judged to be in a flora active state, subtracting a preset workshop bacterial pest evaluation threshold value from a workshop bacterial pest evaluation value to obtain a bacterial pest overestimation value; if the fungus damage exceeding value exceeds a preset fungus damage exceeding threshold value, sterilizing equipment in the soy sauce production workshop is in a high-efficiency sterilizing state; if the fungus damage exceeding value does not exceed the preset fungus damage exceeding threshold value, sterilizing equipment in the soy sauce production workshop is in a medium-efficiency sterilizing state.
3. The soy sauce production workshop environment monitoring system based on sterilization control according to claim 2, wherein the specific analysis process of the microorganism detection analysis is as follows:
acquiring microorganism real-time detection data and microorganism acceleration data of a plurality of monitoring points in a soy sauce production workshop, and marking the corresponding monitoring points as flora active points if the microorganism real-time detection data or the microorganism acceleration data exceeds a corresponding preset threshold; if the real-time detection data of the microorganisms and the speed-up data of the microorganisms do not exceed the corresponding preset threshold values, marking the corresponding monitoring points as flora safety points, and marking the ratio result of the number of flora active points to the number of flora safety points in a soy sauce production workshop as a flora distribution detection value; and the microorganism real-time detection data of all monitoring points are subjected to mean value calculation to obtain a microorganism detection value of the soy sauce workshop, and the microorganism detection value and the flora distribution detection value of the soy sauce workshop are subjected to numerical calculation to obtain a workshop fungus damage evaluation value.
4. The soy sauce production plant environment monitoring system based on sterilization control of claim 1, wherein the specific operation process of the air quality detection and assessment module comprises:
collecting dust expression data, humidity expression data and temperature expression data of corresponding areas in a soy sauce production workshop, and carrying out numerical calculation on the dust expression data, the humidity expression data and the temperature expression data to obtain environment auxiliary detection values of the corresponding areas; if the environment auxiliary detection value exceeds a preset environment auxiliary detection threshold value, marking the corresponding area as an environment to-be-adjusted area;
obtaining the areas of all the areas of the environment to-be-adjusted state areas in the soy sauce production workshop, carrying out summation calculation, and carrying out ratio calculation on the summation result and the workshop area of the soy sauce production workshop to obtain the occupation value of the empty to-be-adjusted area; performing average value calculation on the environment auxiliary detection values of all the environment to-be-regulated areas to obtain environment auxiliary evaluation values, and performing numerical calculation on the environment auxiliary evaluation values and the occupation values of the empty quality to-be-regulated areas to obtain workshop empty quality decision values; and if the workshop empty quality decision value exceeds a preset workshop empty quality decision threshold value, judging that the soy sauce production workshop is in an empty quality inferior state.
5. The soy sauce production workshop environment monitoring system based on sterilization control according to claim 1, wherein the server is in communication connection with a workshop staff detection module, the workshop staff detection module acquires a conveying path of a product in a soy sauce production workshop, acquires a walking path of a staff in the soy sauce production workshop in real time through a camera, marks the superposition length of the walking path of the corresponding workshop staff and the conveying path of the product as an influence path length value, and acquires the walking stay time of the workshop staff on the conveying path of the product and marks the walking stay time as an influence time detection value;
and respectively comparing the influence path length value and the influence time detection value of the corresponding workshop personnel with a preset influence path length threshold value and a preset influence time detection threshold value, marking the corresponding workshop personnel as early warning personnel if the influence path length value or the influence time detection value exceeds the corresponding preset threshold value, adding and storing the times of marking the workshop personnel as the early warning personnel by the server, and sending the information of the early warning personnel to a background early warning end by the server.
6. The soy sauce production plant environment monitoring system based on sterilization management and control according to claim 1, wherein the specific operation process of the comprehensive supervision and evaluation module comprises:
setting a supervision period, obtaining the times of marking corresponding workshop staff in a soy sauce production workshop as early warning staff in the supervision period, marking the times as early warning staff frequency values, summing all the early warning staff frequency values in the supervision period to obtain an early warning total frequency value, comparing the early warning staff frequency value of the corresponding workshop staff with a preset early warning staff frequency threshold value in a numerical mode, and marking the corresponding workshop staff as high-influence staff if the early warning staff frequency value exceeds the preset early warning staff frequency threshold value;
the number of workshop personnel marked as early warning personnel in the supervision period is marked as an early warning personnel analysis value, and the ratio of the number of high-influence personnel in the supervision period to the early warning personnel analysis value is marked as a high-influence personnel detection value; and carrying out numerical calculation on the early warning total frequency value, the early warning personnel analysis value and the high influence personnel detection value to obtain a workshop personnel control value, and generating a supervision disqualification signal if the workshop personnel control value exceeds a preset workshop personnel control threshold.
7. The soy sauce production workshop environment monitoring system based on sterilization control according to claim 6, wherein if the workshop personnel control value does not exceed a preset workshop personnel control threshold, the time length of each time in a flora active state in a soy sauce production workshop in a supervision period is collected and marked as a flora active single-holding value, all flora active single-holding values in the supervision period are summed up to obtain a flora active total value, and the average value of all flora active single-holding values in the supervision period is calculated to obtain a flora active time analysis value;
collecting the time length of each empty quality grade state in a soy sauce production workshop in a supervision period, marking the time length as an empty quality grade single-holding value, carrying out summation calculation on all the empty quality grade single-holding values in the supervision period to obtain an empty quality grade total value, and carrying out average calculation on all the empty quality grade single-holding values in the supervision period to obtain an empty quality grade time analysis value; performing normalization calculation on the total bacterial community active time value, the bacterial community active time analysis value, the empty quality grade total time value, the empty quality grade time analysis value and the workshop personnel control value to obtain a soy sauce workshop supervision value, and generating a supervision disqualification signal if the soy sauce workshop supervision value exceeds a preset soy sauce workshop supervision threshold; and if the supervision value of the soy sauce workshop does not exceed the preset supervision threshold value of the soy sauce workshop, generating a supervision qualified signal.
8. The soy sauce production workshop environment monitoring system based on sterilization control according to claim 1, wherein the server is in communication connection with a soy sauce production management module, the server sends a supervision qualified signal to the soy sauce production management module, the soy sauce production management module obtains all soy sauce production lines of a soy sauce production workshop, obtains failure stop frequency, failure stop total time length and soy sauce production total time length of the corresponding soy sauce production lines in a monitoring period, obtains soy sauce processing data and waste material data of the corresponding soy sauce production lines in the monitoring period, marks the ratio of the soy sauce processing data to the soy sauce production total time length as a soy sauce adding value, and marks the ratio of the waste material data to the soy sauce processing total time length as a soy sauce waste inspection value;
performing numerical calculation on the failure production stopping frequency, the failure production stopping total time length, the soy sauce adding value and the soy sauce waste detection value to obtain a production line detection value corresponding to a soy sauce production line, performing mean value calculation and variance calculation on all production line detection values of a soy sauce production workshop to obtain a production line detection table value and a production line detection value, and generating a workshop production abnormal signal if the production line detection table value exceeds a preset production line detection table threshold value and the production line detection value does not exceed the preset production line detection threshold value; if the line detection value does not exceed the preset line detection threshold and the line detection value does not exceed the preset line detection threshold, generating a workshop production normal signal;
otherwise, marking the ratio of the soy sauce production line with the production line detection value exceeding a preset production line detection threshold as a different line occupation detection value, and carrying out numerical calculation on the different line occupation detection value and the production line gauge value to obtain a workshop production management value; if the workshop production management value exceeds a preset workshop production management threshold, generating a workshop production abnormal signal; if the workshop production management value does not exceed the preset workshop production management threshold, generating a workshop production normal signal; and the workshop production normal signal or the workshop production abnormal signal is sent to a background early warning terminal through a server.
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