CN117930897A - Intelligent monitoring system for food-grade ammonium bicarbonate process - Google Patents
Intelligent monitoring system for food-grade ammonium bicarbonate process Download PDFInfo
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- ATRRKUHOCOJYRX-UHFFFAOYSA-N Ammonium bicarbonate Chemical compound [NH4+].OC([O-])=O ATRRKUHOCOJYRX-UHFFFAOYSA-N 0.000 title claims abstract description 170
- 229910000013 Ammonium bicarbonate Inorganic materials 0.000 title claims abstract description 170
- 235000012538 ammonium bicarbonate Nutrition 0.000 title claims abstract description 170
- 239000001099 ammonium carbonate Substances 0.000 title claims abstract description 170
- 238000012544 monitoring process Methods 0.000 title claims abstract description 100
- 238000000034 method Methods 0.000 title claims abstract description 53
- 230000008569 process Effects 0.000 title claims abstract description 25
- IJGRMHOSHXDMSA-UHFFFAOYSA-N Atomic nitrogen Chemical compound N#N IJGRMHOSHXDMSA-UHFFFAOYSA-N 0.000 claims abstract description 187
- 238000005406 washing Methods 0.000 claims abstract description 86
- 238000001816 cooling Methods 0.000 claims abstract description 62
- 238000011049 filling Methods 0.000 claims abstract description 60
- 238000000746 purification Methods 0.000 claims abstract description 46
- 230000007547 defect Effects 0.000 claims abstract description 41
- 238000007667 floating Methods 0.000 claims abstract description 33
- 238000004364 calculation method Methods 0.000 claims abstract description 31
- 238000002360 preparation method Methods 0.000 claims abstract description 22
- 229910052757 nitrogen Inorganic materials 0.000 claims description 93
- 238000006243 chemical reaction Methods 0.000 claims description 71
- 239000013078 crystal Substances 0.000 claims description 62
- 230000002159 abnormal effect Effects 0.000 claims description 48
- 238000002425 crystallisation Methods 0.000 claims description 45
- 230000008025 crystallization Effects 0.000 claims description 45
- 238000000926 separation method Methods 0.000 claims description 34
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 claims description 23
- 238000000611 regression analysis Methods 0.000 claims description 15
- 238000003756 stirring Methods 0.000 claims description 14
- 229910002092 carbon dioxide Inorganic materials 0.000 claims description 12
- 239000001569 carbon dioxide Substances 0.000 claims description 11
- 235000013305 food Nutrition 0.000 claims description 10
- VHUUQVKOLVNVRT-UHFFFAOYSA-N Ammonium hydroxide Chemical compound [NH4+].[OH-] VHUUQVKOLVNVRT-UHFFFAOYSA-N 0.000 claims description 9
- 239000000908 ammonium hydroxide Substances 0.000 claims description 9
- 238000005516 engineering process Methods 0.000 claims description 9
- 238000004458 analytical method Methods 0.000 claims description 8
- 230000008859 change Effects 0.000 claims description 8
- 238000003860 storage Methods 0.000 claims description 7
- 238000004891 communication Methods 0.000 claims description 6
- 238000012937 correction Methods 0.000 claims description 4
- 229910001873 dinitrogen Inorganic materials 0.000 abstract 1
- 239000000047 product Substances 0.000 description 124
- 239000007789 gas Substances 0.000 description 12
- 239000012535 impurity Substances 0.000 description 7
- 239000000463 material Substances 0.000 description 7
- 230000015572 biosynthetic process Effects 0.000 description 6
- 230000007423 decrease Effects 0.000 description 5
- 230000000694 effects Effects 0.000 description 5
- 238000004519 manufacturing process Methods 0.000 description 5
- 239000003599 detergent Substances 0.000 description 4
- 239000002994 raw material Substances 0.000 description 4
- 238000012864 cross contamination Methods 0.000 description 3
- 239000012467 final product Substances 0.000 description 3
- 239000002245 particle Substances 0.000 description 3
- 239000000126 substance Substances 0.000 description 3
- UIIMBOGNXHQVGW-UHFFFAOYSA-M Sodium bicarbonate Chemical compound [Na+].OC([O-])=O UIIMBOGNXHQVGW-UHFFFAOYSA-M 0.000 description 2
- 230000015556 catabolic process Effects 0.000 description 2
- 238000006731 degradation reaction Methods 0.000 description 2
- 238000009826 distribution Methods 0.000 description 2
- 238000001035 drying Methods 0.000 description 2
- 238000001914 filtration Methods 0.000 description 2
- 235000010855 food raising agent Nutrition 0.000 description 2
- 239000007788 liquid Substances 0.000 description 2
- 238000004806 packaging method and process Methods 0.000 description 2
- 239000002699 waste material Substances 0.000 description 2
- 238000012351 Integrated analysis Methods 0.000 description 1
- 238000010521 absorption reaction Methods 0.000 description 1
- 238000004422 calculation algorithm Methods 0.000 description 1
- 239000012459 cleaning agent Substances 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000004090 dissolution Methods 0.000 description 1
- 239000003337 fertilizer Substances 0.000 description 1
- 230000001788 irregular Effects 0.000 description 1
- 230000002427 irreversible effect Effects 0.000 description 1
- 239000002184 metal Substances 0.000 description 1
- 238000002156 mixing Methods 0.000 description 1
- 238000006386 neutralization reaction Methods 0.000 description 1
- 238000007254 oxidation reaction Methods 0.000 description 1
- 239000000843 powder Substances 0.000 description 1
- 239000002244 precipitate Substances 0.000 description 1
- 235000013324 preserved food Nutrition 0.000 description 1
- 230000009257 reactivity Effects 0.000 description 1
- 238000001953 recrystallisation Methods 0.000 description 1
- 229920006395 saturated elastomer Polymers 0.000 description 1
- 235000017557 sodium bicarbonate Nutrition 0.000 description 1
- 229910000030 sodium bicarbonate Inorganic materials 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 239000007858 starting material Substances 0.000 description 1
- 230000007847 structural defect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000013022 venting Methods 0.000 description 1
- 238000004065 wastewater treatment Methods 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
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D13/00—Control of linear speed; Control of angular speed; Control of acceleration or deceleration, e.g. of a prime mover
- G05D13/62—Control of linear speed; Control of angular speed; Control of acceleration or deceleration, e.g. of a prime mover characterised by the use of electric means, e.g. use of a tachometric dynamo, use of a transducer converting an electric value into a displacement
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Removal Of Specific Substances (AREA)
- Organic Low-Molecular-Weight Compounds And Preparation Thereof (AREA)
Abstract
The invention discloses an intelligent monitoring system for a food-grade ammonium bicarbonate process, which relates to the technical field of ammonium bicarbonate process monitoring, wherein a comprehensive calculation module comprehensively calculates a pressure floating index, a cooling rate deviation value, a washing purification duration deviation value and a nitrogen gas filling index to generate a product assignment, a comparison module obtains the product assignment of ammonium bicarbonate, then compares the product assignment with a multi-level threshold value, and a product classification module classifies the prepared ammonium bicarbonate into a first-level product, a second-level product and a third-level product according to the comparison result of the product assignment and the multi-level threshold value. The monitoring system can comprehensively analyze the preparation process parameters of the ammonium bicarbonate to judge whether the ammonium bicarbonate has potential defects after the preparation of the ammonium bicarbonate is finished, and carry out grading treatment on the ammonium bicarbonate according to the severity of the potential defects of the ammonium bicarbonate, so that the ammonium bicarbonate with corresponding grade is used in the corresponding field, and the use quality of the ammonium bicarbonate is ensured.
Description
Technical Field
The invention relates to the technical field of ammonium bicarbonate process monitoring, in particular to an intelligent monitoring system for a food-grade ammonium bicarbonate process.
Background
Food grade ammonium bicarbonate, also known as baking soda or baking powder, is a commonly used food leavening agent and leavening agent which releases carbon dioxide gas during baking to expand dough or batter, and in the process of preparing ammonium bicarbonate, if various monitored process parameters show unfavorable development trends, but do not reach corresponding thresholds, the finished ammonium bicarbonate has potential defects. These potential drawbacks can lead to reduced ammonium bicarbonate activity or reduced shelf life. The current ammonium bicarbonate detection method mainly evaluates indexes such as appearance, purity, carbon dioxide content and the like of the finished ammonium bicarbonate after the preparation is finished so as to judge whether the quality of the finished ammonium bicarbonate reaches the standard. However, such methods cannot monitor the potential drawbacks of ammonium bicarbonate, making it difficult to guarantee the quality of the ammonium bicarbonate after preparation.
Disclosure of Invention
The invention aims to provide an intelligent monitoring system for a food-grade ammonium bicarbonate process, which aims to solve the defects in the background technology.
In order to achieve the above object, the present invention provides the following technical solutions: an intelligent monitoring system for a food-grade ammonium bicarbonate process comprises a reaction monitoring module, a separation monitoring module, a purification monitoring module, a nitrogen monitoring module, a warning module, a comprehensive calculation module, a comparison module, a product grading module and a management strategy module;
and a reaction monitoring module: for monitoring reaction tank parameters including pressure float index while reacting ammonium hydroxide and carbon dioxide in the reaction tank;
And a separation monitoring module: for monitoring separation parameters, including a cooling rate deviation value, when ammonium bicarbonate crystals are separated from the solution by a crystallization separation technique;
Purification monitoring module: when the ammonium bicarbonate crystals are washed and purified by the washing and purifying equipment, monitoring the washing and purifying time deviation value of the ammonium bicarbonate crystals in the washing and purifying equipment;
And a nitrogen monitoring module: in the processes of reaction, crystallization separation and washing purification, monitoring the nitrogen filling concentration of each process step in real time, and comprehensively calculating the nitrogen filling index;
And the warning module is used for: if the pressure floating index is larger than a preset floating threshold, the cooling rate deviation value is larger than a cooling deviation threshold or the washing purification duration deviation value is larger than a duration deviation threshold, analyzing that the preparation process is abnormal, and sending a warning signal to an administrator;
And the comprehensive calculation module is used for: after the preparation of the ammonium bicarbonate is completed, comprehensively calculating a pressure floating index, a cooling rate deviation value, a washing purification duration deviation value and a nitrogen filling index based on a regression analysis model to generate a product assignment;
And a comparison module: after the product assignment of the ammonium bicarbonate is obtained, comparing the product assignment with a multi-level threshold;
And a product grading module: dividing the prepared ammonium bicarbonate into a first-level product, a second-level product and a third-level product according to the comparison result of the product assignment and the multi-level threshold;
And a management policy module: and generating a strategy for matching the ammonium bicarbonate of the corresponding grade to the corresponding use field according to the grading result of the ammonium bicarbonate, and sending the strategy to an administrator.
In a preferred embodiment, the comprehensive calculation module comprises a model unit and an input-output unit;
Model unit: storing a regression analysis model, wherein the function expression of the regression analysis model is as follows: Wherein, C is an error correction term, the value of C is 1.236, x 1 is a pressure floating index, x 2 is a cooling rate deviation value, x 3 is a washing purification duration deviation value, x 4 is a nitrogen filling index, w 1、w2、w3、w4 is a pressure floating index, a cooling rate deviation value, a washing purification duration deviation value and a regression coefficient of the nitrogen filling index respectively, and w 1、w2、w3、w4 is larger than 0;
an input/output unit: inputting the pressure floating index, the cooling rate deviation value, the washing purification duration deviation value and the nitrogen filling index which are obtained in real time into a regression analysis model for analysis, and then outputting a product assignment.
In a preferred embodiment, the comparison module comprises a threshold storage unit and a comparison judging unit;
Threshold value storage unit: the method comprises the steps that a preset multi-level threshold is stored, the multi-level threshold comprises a first abnormal threshold and a second abnormal threshold, the first abnormal threshold is used for judging whether the ammonium bicarbonate has potential defects, the second abnormal threshold is used for judging the severity of the potential defects of the ammonium bicarbonate, and the first abnormal threshold is smaller than the second abnormal threshold;
And a comparison judging unit: after the product assignment of the ammonium bicarbonate is obtained, comparing the product assignment with a first abnormal threshold value and a second abnormal threshold value;
if the product assignment is less than or equal to a first abnormal threshold value, judging that the ammonium bicarbonate has no potential defect;
if the product assignment is larger than the first abnormal threshold value, judging that the ammonium bicarbonate has potential defects;
If the product assignment is greater than the first abnormal threshold value and the product assignment is less than or equal to the second abnormal threshold value, judging that the ammonium bicarbonate has mild potential defects;
and if the product assignment is larger than the second abnormal threshold value, judging that the ammonium bicarbonate has serious potential defects.
In a preferred embodiment, the product grading module comprises a grading unit and a communication unit;
a classification unit: when the ammonium bicarbonate has no potential defect, dividing the ammonium bicarbonate into a first-stage product, when judging that the ammonium bicarbonate has a slight potential defect, dividing the ammonium bicarbonate into a second-stage product, and when judging that the ammonium bicarbonate has a severe potential defect, dividing the ammonium bicarbonate into a third-stage product, wherein the quality of the first-stage product is higher than that of the second-stage product, and the quality of the second-stage product is higher than that of the third-stage product;
A communication unit: and sending the ammonium bicarbonate grading result to the mobile terminal of the administrator based on the 4G/5G signal.
In a preferred embodiment, the nitrogen monitoring module comprises a concentration monitoring unit, an integrated analysis unit and an index acquisition unit;
Concentration monitoring unit: monitoring the nitrogen filling concentration during the process steps of reaction, crystallization separation and washing purification by a nitrogen sensor;
comprehensive analysis unit: comprehensively analyzing nitrogen concentration data in each process step, and calculating nitrogen filling amplitude, wherein the expression is as follows: Wherein DQZ is the nitrogen charge amplitude, i=1, 2,3, c i represents the nitrogen charge concentration of the ith process step, and t i represents the duration of the ith process step;
An index acquisition unit: the method is used for analyzing whether the nitrogen filling amplitude is in a preset nitrogen filling range [ D min～Dmax ], if the nitrogen filling amplitude is in a nitrogen filling range [ D min～Dmax ], the nitrogen filling index x 4 =2.413, and if the nitrogen filling amplitude is not in a nitrogen filling range [ D min～Dmax ], the nitrogen filling index x 4 =1.012.
In a preferred embodiment, the purification monitoring module comprises a timing unit, a second calculation unit;
a timing unit: when the washing and purifying equipment washes and purifies ammonium bicarbonate crystals, monitoring washing time in the washing and purifying equipment in real time through a timer, and recording the monitored washing time data;
A second calculation unit: comparing the actual washing time with the set standard washing time, calculating a deviation value of the washing and purifying time, wherein the calculation expression is as follows: x 3 = |sx-bx|, where x 3 is a washing purification duration deviation value, SX is an actual washing purification duration, and BX is a standard washing purification duration.
In a preferred embodiment, the separation monitoring module comprises a rate acquisition unit and a calculation unit;
Rate acquisition unit: when the crystallization tank separates ammonium bicarbonate crystals from a solution through a crystallization separation technology, a temperature sensor arranged in the crystallization tank monitors temperature change in the crystallization tank, and the temperature at the current moment and the temperature at the next moment are recorded and then calculated to obtain a cooling rate;
A calculation unit: and after the cooling rate is obtained, taking the absolute value of the difference value obtained by subtracting the cooling rate threshold value from the cooling rate as a cooling rate deviation value.
In a preferred embodiment, the reaction monitoring module comprises a temperature monitoring unit, a rotation speed monitoring unit, a recording unit and an integral operation unit;
Temperature monitoring unit: the device is used for monitoring the real-time temperature inside the reaction tank;
A rotation speed monitoring unit: the stirring device is used for monitoring the stirring speed in the reaction tank;
A recording unit: recording a time period when the real-time temperature in the reaction tank exceeds a preset temperature threshold as a temperature early-warning time period, and recording a time period when the real-time stirring speed in the reaction tank exceeds a rotating speed threshold as a rotating speed early-warning time period;
An integral operation unit: the pressure floating index is obtained after integral operation is carried out on the time period of the temperature early warning and the time period of the rotating speed early warning, and the calculation expression is as follows: Wherein x 1 is the pressure floating index, F (t) is the real-time pressure variation in the reaction tank, [ t x,ty ] is the time period of temperature early warning, and [ t i,tj ] is the time period of rotating speed early warning.
In the technical scheme, the invention has the technical effects and advantages that:
According to the invention, after the preparation of ammonium bicarbonate is completed, a comprehensive calculation module comprehensively calculates a pressure floating index, a cooling rate deviation value, a washing purification duration deviation value and a nitrogen filling index based on a regression analysis model to generate a product assignment, a comparison module obtains the product assignment of ammonium bicarbonate, then compares the product assignment with a multi-level threshold, a product classification module classifies the prepared ammonium bicarbonate into a first-level product, a second-level product and a third-level product according to the comparison result of the product assignment and the multi-level threshold, and a management strategy module generates strategies for matching ammonium bicarbonate of corresponding grades into corresponding use fields according to the classification result of the ammonium bicarbonate and sends the strategies to an administrator. The monitoring system can comprehensively analyze the preparation process parameters of the ammonium bicarbonate to judge whether the ammonium bicarbonate has potential defects after the preparation of the ammonium bicarbonate is finished, and carry out grading treatment on the ammonium bicarbonate according to the severity of the potential defects of the ammonium bicarbonate, so that the ammonium bicarbonate with corresponding grade is used in the corresponding field, and the use quality of the ammonium bicarbonate is ensured.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments described in the present application, and other drawings may be obtained according to these drawings for a person having ordinary skill in the art.
FIG. 1 is a block diagram of a system according to the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. 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.
The process for preparing the grade ammonium bicarbonate generally comprises the steps of:
Raw material preparation: high-purity ammonium hydroxide (NH 4 OH) and carbon dioxide (CO 2) are used as raw materials for the reaction, so that the quality of the raw materials meets the food-grade standard;
The reaction tank is provided with: appropriate equipment is arranged in the reaction tank to accommodate the mixing and reaction of the raw materials, and the reaction tank is required to be provided with an appropriate stirring and temperature control system;
Ammonium hydroxide reacts with carbon dioxide: ammonium hydroxide reacts with carbon dioxide in water to form ammonium bicarbonate (NH 4HCO3), the chemical equation of the reaction is: NH 4OH+CO2→NH4HCO3;
And (3) controlling reaction conditions: the temperature, the pressure and the stirring speed in the reaction tank are controlled, so that the proper reaction condition is ensured, and the reaction efficiency and the product purity are improved;
solution filtration: the reacted solution passes through a filtering device to remove unreacted substances, impurities and solid particles;
crystallization separation: separating ammonium bicarbonate crystals from the solution by a crystallization separation technology, which is helpful for improving the purity of the product;
Washing and purifying: washing and purifying the obtained ammonium bicarbonate crystal to remove residual impurities and unreacted substances;
And (3) drying: delivering the washed ammonium bicarbonate crystals into drying equipment to remove residual moisture, so as to ensure the stability and the shelf life of the final product;
and (3) packaging: the dried food grade ammonium bicarbonate is packaged in suitable packaging containers to ensure its quality and safety during transportation and storage.
Examples: referring to fig. 1, the intelligent monitoring system for a food-grade ammonium bicarbonate process according to the embodiment includes a reaction monitoring module, a separation monitoring module, a purification monitoring module, a nitrogen monitoring module, a warning module, a comprehensive calculation module, a comparison module, a product grading module, and a management strategy module;
And a reaction monitoring module: the system comprises a reaction tank, a warning module, a comprehensive calculation module, a pressure floating index and a control module, wherein the reaction tank is used for monitoring reaction tank parameters when ammonium hydroxide (NH 4 OH) and carbon dioxide (CO 2) react in the reaction tank, the reaction tank parameters comprise the pressure floating index, and the pressure floating index is sent to the warning module and the comprehensive calculation module;
And a separation monitoring module: the device is used for monitoring separation parameters when the ammonium bicarbonate crystals are separated from the solution through a crystallization separation technology, wherein the separation parameters comprise a cooling rate deviation value, and the cooling rate deviation value is sent to a warning module and a comprehensive calculation module;
Purification monitoring module: when the ammonium bicarbonate crystals are washed and purified by the washing and purifying equipment, monitoring the washing and purifying time deviation value of the ammonium bicarbonate crystals in the washing and purifying equipment, and sending the washing and purifying time deviation value to the warning module and the comprehensive calculating module;
And a nitrogen monitoring module: in the processes of reaction, crystallization separation and washing purification, monitoring the nitrogen filling concentration of each process step in real time, comprehensively calculating a nitrogen filling index, and sending the nitrogen filling index to a comprehensive calculation module;
And the warning module is used for: if the pressure floating index is larger than a preset floating threshold, the cooling rate deviation value is larger than a cooling deviation threshold or the washing purification duration deviation value is larger than a duration deviation threshold, analyzing that the preparation process is abnormal, sending a warning signal to an administrator, prompting that the current preparation process needs to be stopped, and after the administrator receives the warning signal, arranging for overhauling corresponding equipment in the preparation process;
And the comprehensive calculation module is used for: after the preparation of the ammonium bicarbonate is completed, comprehensively calculating a pressure floating index, a cooling rate deviation value, a washing purification duration deviation value and a nitrogen filling index based on a regression analysis model to generate a product assignment, and sending the product assignment to a comparison module;
And a comparison module: after the product assignment of the ammonium bicarbonate is obtained, comparing the product assignment with a multi-level threshold value, and transmitting a comparison result to a product grading module;
And a product grading module: dividing the prepared ammonium bicarbonate into a first-level product, a second-level product and a third-level product according to the comparison result of the product assignment and the multi-level threshold, and sending the product classification result to a management strategy module and an administrator, wherein if the ammonium bicarbonate to be prepared currently is more than the second-level product, the administrator needs to stop the preparation of the subsequent ammonium bicarbonate in time when the prepared ammonium bicarbonate is the third-level product, so that loss is avoided;
And a management policy module: and generating a strategy for matching the ammonium bicarbonate of the corresponding grade to the corresponding use field according to the grading result of the ammonium bicarbonate, and sending the strategy to an administrator.
According to the application, after the preparation of ammonium bicarbonate is completed, a comprehensive calculation module comprehensively calculates a pressure floating index, a cooling rate deviation value, a washing purification duration deviation value and a nitrogen filling index based on a regression analysis model to generate a product assignment, a comparison module obtains the product assignment of ammonium bicarbonate, then compares the product assignment with a multi-level threshold, a product classification module classifies the prepared ammonium bicarbonate into a first-level product, a second-level product and a third-level product according to the comparison result of the product assignment and the multi-level threshold, and a management strategy module generates strategies for matching ammonium bicarbonate of corresponding grades into corresponding use fields according to the classification result of the ammonium bicarbonate and sends the strategies to an administrator. The monitoring system can comprehensively analyze the preparation process parameters of the ammonium bicarbonate to judge whether the ammonium bicarbonate has potential defects after the preparation of the ammonium bicarbonate is finished, and carry out grading treatment on the ammonium bicarbonate according to the severity of the potential defects of the ammonium bicarbonate, so that the ammonium bicarbonate with corresponding grade is used in the corresponding field, and the use quality of the ammonium bicarbonate is ensured.
The reaction monitoring module monitors reaction tank parameters including pressure floating index when ammonium hydroxide (NH 4 OH) and carbon dioxide (CO 2) react in the reaction tank;
the reaction monitoring module comprises a temperature monitoring unit, a rotating speed monitoring unit, a recording unit and an integral operation unit;
When the reaction monitoring module reacts ammonium hydroxide (NH 4 OH) and carbon dioxide (CO 2) in the reaction tank, the temperature monitoring unit and the rotating speed monitoring unit monitor the real-time temperature and stirring speed in the reaction tank, when the real-time temperature in the reaction tank exceeds a preset temperature threshold value, the gas in the reaction tank is expanded, the gas pressure in the reaction tank is increased, and when the real-time stirring speed in the reaction tank exceeds the rotating speed threshold value, the reaction rate of ammonium hydroxide (NH 4 OH) and carbon dioxide (CO 2) is increased, so that the generation rate of the gas is increased, and the gas pressure in the reaction tank is increased;
the recording unit records the time period when the real-time temperature in the reaction tank exceeds a preset temperature threshold as the time period of temperature early warning, and records the time period when the real-time stirring speed in the reaction tank exceeds a rotating speed threshold as the time period of rotating speed early warning;
The integral operation unit performs integral operation on the temperature early-warning time period and the rotating speed early-warning time period to obtain a pressure floating index, and the calculation expression is as follows: Wherein x 1 is a pressure floating index, F (t) is a real-time pressure variation in the reaction tank, [ t x,ty ] is a temperature early warning period, [ t i,tj ] is a rotating speed early warning period, and the larger the pressure floating index is, the higher the pressure inside the reaction tank is due to abnormal temperature and stirring speed, which causes the following potential defects of ammonium bicarbonate:
excessive reaction: abnormal temperature and stirring speed may cause excessive reaction to progress, resulting in excessive ammonium bicarbonate or related products. This may lead to supersaturation of the product, difficulty in maintaining the stability and solubility of the product, and potential formation of precipitates in the product.
Bubbles and voids: the high gas pressure may cause bubbles to be generated from the dissolved gas in the solution or voids to be formed during crystallization. This may lead to the presence of bubbles or voids in the ammonium bicarbonate crystals, affecting the uniformity and compactness of the product.
Crystallization problem: abnormal stirring speeds may result in uneven or too rapid crystallization, forming irregularly shaped ammonium bicarbonate crystals. This may lead to crystal structure defects, affecting the quality and stability of the product.
The product performance is poor: excessive gas pressure may lead to venting of the gas phase in the product or to changes in the solubility of the gas. This may deteriorate the performance, stability and operability of the final product.
Irreversible reaction: higher gas pressures may cause irreversibilities in the reaction, resulting in uncontrolled progress of the reaction. This can lead to product instability and product formation that is difficult to control.
Product overflows: abnormal increases in gas pressure can cause spillage of the solution or product within the reaction tank, causing confusion in the reaction system and increasing operational risks.
The separation monitoring module monitors separation parameters when the ammonium bicarbonate crystals are separated from the solution through a crystallization separation technology, wherein the separation parameters comprise a cooling rate deviation value;
the separation monitoring module comprises a rate acquisition unit and a first calculation unit;
When the crystallization tank separates ammonium bicarbonate crystals from the solution through a crystallization separation technology, the rate acquisition unit monitors the temperature change in the crystallization tank through a temperature sensor arranged in the crystallization tank, records the temperature at the current moment and the temperature at the next moment, and then calculates and acquires the cooling rate, wherein the calculation expression is as follows: LS= (W2-W1)/(T2-T1), wherein W2 is the internal temperature of the crystallization tank monitored at the moment T2, W1 is the internal temperature of the crystallization tank monitored at the moment T1, T2 is the next moment, and T1 is the current moment;
After the computing unit obtains the cooling rate, taking the absolute value of the difference value obtained by subtracting the threshold value of the cooling rate from the cooling rate as a cooling rate deviation value, wherein the expression is as follows: x 2 = |ls-lz|, where x 2 is the cooling rate deviation value, LS is the cooling rate, LZ is the cooling rate threshold;
The larger the cooling rate deviation value, the larger or smaller the cooling rate when the ammonium bicarbonate crystals are separated from the solution in the crystallization tank by the crystallization separation technology, the following potential defects are easily caused to occur in the ammonium bicarbonate belt:
The crystal size is not uniform: too large or too small a cooling rate deviation value may cause non-uniformity in crystal size. Too fast a cooling rate may result in excessive formation of small crystals, while too slow a cooling rate may result in formation of large crystals. This may affect the particle size distribution of the final product.
Solubility problem: the larger the cooling rate deviation value, the more likely the solubility is changed. If the cooling rate is too high, crystals may not sufficiently grow in the crystallization tank, affecting the quality of the product. Conversely, too little cooling rate may result in reduced product solubility, affecting crystallization.
Poor morphology: excessive cooling rate deviation values may lead to poor morphology of ammonium bicarbonate crystals, such as imperfections or contours in the crystal surface. This may affect the appearance and texture of the product.
Crystallinity decreases: excessive cooling rate deviation values may cause the crystallinity of the crystal to decrease, and the crystal may become looser or irregular. This may reduce the stability and quality of the product.
Crystalline impurities: abnormal cooling rates may lead to the presence of impurities in the crystal. If the cooling rate is too high, impurities in the solution may be introduced, while too low a cooling rate may result in impurities not being effectively removed.
Yield decreases: excessive cooling rate deviation values may lead to yield instability. Too fast a cooling rate may lead to yield degradation because the crystal formation rate is too fast.
Crystal structure defects: abnormal cooling rates may lead to structural defects in the ammonium bicarbonate crystals, such as imperfections in the crystal lattice structure. This may reduce the quality and performance of the product.
Color change of the product: excessive cooling rate deviation values may result in color changes of the ammonium bicarbonate crystals. The change in crystal color may be an indication of quality problems.
When the ammonium bicarbonate crystals are washed and purified by the washing and purifying equipment, the purification monitoring module monitors the washing and purifying time deviation value of the ammonium bicarbonate crystals in the washing and purifying equipment;
the purification monitoring module comprises a timing unit and a second calculating unit;
the timing unit monitors the washing time length in the washing and purifying equipment in real time through a timer when the washing and purifying equipment washes and purifies ammonium bicarbonate crystals, and records the monitored washing time length data;
the second calculating unit compares the actual washing time with the set standard washing time, calculates the deviation value of the washing and purifying time, and the calculating expression is: x 3 = |sx-bx|, where x 3 is a washing purification duration bias value, SX is an actual washing purification duration, and BX is a standard washing purification duration:
the washing and purifying time deviation value is larger, which indicates that the washing and purifying equipment washes and purifies ammonium bicarbonate crystals for a long time or a short time, and potential defects of ammonium bicarbonate are easy to occur, specifically:
The washing is not thorough:
When the length is too long: if the washing time is too long, the detergent may be excessively used in the apparatus, but the washing effect is saturated, and further extension time may not bring about additional purification effect, but rather increase the production cost.
When the time is short: if the washing time is too short, it may cause the detergent to fail to sufficiently react with the crystals, and residues or impurities remain attached to the crystal surfaces, affecting the purity of the product.
Residual material in the crystallization tank:
When the length is too long: too long a washing time period may cause detergent to remain in the crystallization tank, forming unnecessary waste liquid, and increasing the burden of waste liquid treatment.
When the time is short: too short a washing period may not adequately remove residual material in the crystallization tank, resulting in cross contamination or degradation of crystal quality in the next round of production.
Product solubility problem:
when the length is too long: too long a washing period may result in a decrease in the solubility of ammonium bicarbonate crystals, affecting the stability and solubility of the product.
When the time is short: insufficient washing time may result in unwashed residual materials affecting the solubility and reactivity of the product.
Poor crystal morphology:
When the length is too long: too long a washing period may lead to dissolution and recrystallization of the ammonium bicarbonate crystal surface, resulting in poor crystal morphology, such as crystal surface imperfections and contours.
When the time is short: insufficient washing time may result in residual unwashed material on the crystal surface, again affecting crystal morphology and appearance.
The moisture content is inconsistent:
When the length is too long: too long a washing period may cause the crystals to absorb moisture, resulting in inconsistent moisture content, affecting product quality and stability.
When the time is short: insufficient washing time may not effectively remove moisture adsorbed on the crystal surface, and also affect uniformity of moisture content of the product.
Color change of the product:
When the length is too long: too long a washing period may cause components in the detergent to react with the product, causing a color change.
When the time is short: failure to adequately remove residual material may result in uneven product color or undesirable color changes.
And a nitrogen monitoring module: in the processes of reaction, crystallization separation and washing purification, monitoring the nitrogen filling concentration of each process step in real time, and comprehensively calculating the nitrogen filling index;
The nitrogen monitoring module comprises a concentration monitoring unit, a comprehensive analysis unit and an index acquisition unit;
the concentration monitoring unit monitors the nitrogen filling concentration of the process steps through the nitrogen sensor in the reaction, crystallization separation and washing purification processes, and records the nitrogen concentration data monitored in real time in each process step, wherein the nitrogen concentration data comprises concentration values at the beginning and the end of neutralization;
The comprehensive analysis unit comprehensively considers the nitrogen concentration data in each process step, calculates the nitrogen filling amplitude, and the expression is: Wherein DQZ is the nitrogen charge amplitude, i=1, 2,3, c i represents the nitrogen charge concentration of the ith process step, and t i represents the duration of the ith process step;
The index obtaining unit analyzes whether the nitrogen filling amplitude is in a preset nitrogen filling range [ D min～Dmax ], D min is a minimum nitrogen threshold value, D max is a maximum nitrogen threshold value, if the nitrogen filling amplitude is in the nitrogen filling range [ D min～Dmax ], the nitrogen filling index x 4 =2.413, and if the nitrogen filling amplitude is not in the nitrogen filling range [ D min～Dmax ], the nitrogen filling index x 4 =1.012;
the larger nitrogen charge index value indicates that the nitrogen charge in each process step is more up to standard, and the smaller nitrogen charge index value indicates that the nitrogen charge in each process step is less up to standard, which can easily lead to the following potential drawbacks in ammonium bicarbonate:
unstable product quality: insufficient nitrogen charge may result in an insufficient atmosphere in the reaction tank to maintain stable reaction conditions, thereby affecting the quality and stability of the ammonium bicarbonate.
Solubility problem: insufficient nitrogen charge may cause solubility problems of ammonium bicarbonate crystals in the crystallization tank, affecting crystal growth and quality.
Residual material: insufficient nitrogen filling can lead to insufficient removal of residual material from the crystallization tank, thereby affecting product purity.
Problem of atmosphere control in crystallization tank: in the crystallization separation process, the insufficient filling amount of nitrogen can lead to unstable atmosphere control in the crystallization tank, and the formation and crystallization effect of crystals are affected.
The crystal size is not uniform: insufficient nitrogen charge may result in non-uniform crystal size in the crystallization tank, affecting the particle size distribution of the product.
Color change: insufficient nitrogen filling can cause undesirable oxidation reactions in the reaction tank, resulting in color changes in the ammonium bicarbonate, affecting the appearance of the product.
Crystallinity decreases: lack of adequate nitrogen charge may result in reduced crystallinity of the crystals, affecting product quality and stability.
Cross-contamination: insufficient nitrogen filling in the crystallization tank can cause cross contamination of crystals among different batches, and the consistency of products is affected.
The moisture content of the product varies: insufficient nitrogen filling can lead to moisture absorption of the crystal, so that the moisture content of the product changes, and the quality of the product is affected.
The comprehensive calculation module comprehensively calculates a pressure floating index, a cooling rate deviation value, a washing purification duration deviation value and a nitrogen filling index based on a regression analysis model after the preparation of ammonium bicarbonate is completed, and generates a product assignment;
the comprehensive calculation module comprises a model unit and an input/output unit;
Model unit: storing a regression analysis model, wherein the function expression of the regression analysis model is as follows: Wherein, C is an error correction term, and the value of C is 1.236, the error correction term C indicates the influence degree of other minor influences on ammonium bicarbonate when various major influences are not present, x 1 is a pressure floating index, x 2 is a cooling rate deviation value, x 3 is a washing purification duration deviation value, x 4 is a nitrogen filling index, w 1、w2、w3、w4 is a pressure floating index, a cooling rate deviation value, a washing purification duration deviation value and a regression coefficient of the nitrogen filling index respectively, and w 1、w2、w3、w4 is larger than 0;
An input/output unit: inputting the pressure floating index, the cooling rate deviation value, the washing purification duration deviation value and the nitrogen filling index which are obtained in real time into a regression analysis model for analysis, and outputting product assignment, wherein the larger the product assignment is, the more potential defects of ammonium bicarbonate are easily generated.
After the comparison module obtains the product assignment of the ammonium bicarbonate, comparing the product assignment with a multi-level threshold;
The comparison module comprises a threshold storage unit and a comparison judging unit;
the threshold storage unit stores preset multilevel thresholds, the multilevel thresholds comprise a first abnormal threshold and a second abnormal threshold, the first abnormal threshold is used for judging whether the ammonium bicarbonate has potential defects, the second abnormal threshold is used for judging the severity of the potential defects of the ammonium bicarbonate, and the first abnormal threshold is smaller than the second abnormal threshold;
After the comparison judging unit obtains the product assignment of the ammonium bicarbonate, comparing the product assignment with a first abnormal threshold value and a second abnormal threshold value;
if the product assignment is less than or equal to a first abnormal threshold value, judging that the ammonium bicarbonate has no potential defect;
if the product assignment is larger than the first abnormal threshold value, judging that the ammonium bicarbonate has potential defects;
If the product assignment is greater than the first abnormal threshold value and the product assignment is less than or equal to the second abnormal threshold value, judging that the ammonium bicarbonate has mild potential defects;
and if the product assignment is larger than the second abnormal threshold value, judging that the ammonium bicarbonate has serious potential defects.
The product classification module divides the prepared ammonium bicarbonate into a first-level product, a second-level product and a third-level product according to the comparison result of the product assignment and the multi-level threshold value, the product classification result is sent to an administrator, if the ammonium bicarbonate to be prepared currently is more than the second-level product, when the prepared ammonium bicarbonate is the third-level product, the administrator needs to stop the preparation of the subsequent ammonium bicarbonate in time, so that loss is avoided;
the product grading module comprises a grading unit and a communication unit;
The classifying unit classifies the ammonium bicarbonate into a first-stage product when the ammonium bicarbonate does not have potential defects, and classifies the ammonium bicarbonate into a second-stage product when the ammonium bicarbonate is judged to have light potential defects, and classifies the ammonium bicarbonate into a third-stage product when the ammonium bicarbonate is judged to have heavy potential defects, wherein the quality of the first-stage product is higher than that of the second-stage product, and the quality of the second-stage product is higher than that of the third-stage product.
The communication unit transmits the ammonium bicarbonate classification result to the mobile terminal of the administrator based on the 4G/5G signal.
The management strategy module generates strategies for matching the ammonium bicarbonate with corresponding grades into corresponding use fields according to the grading result of the ammonium bicarbonate, and sends the strategies to an administrator;
Wherein the strategy is as follows:
first-stage products: are used in the pharmaceutical industry for pharmaceutical and biotechnology; the method is used for high-grade baking and starter propagation in the food industry.
And (3) a secondary product: general industrial uses such as fertilizer production, metal treatment, etc.
Three-stage product: low-end industrial applications such as cleaning agent manufacture, wastewater treatment, etc.
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.
It should be understood that the term "and/or" is merely an association relationship describing the associated object, and means that three relationships may exist, for example, a and/or B may mean: there are three cases, a alone, a and B together, and B alone, wherein a, B may be singular or plural. In addition, the character "/" herein generally indicates that the associated object is an "or" relationship, but may also indicate an "and/or" relationship, and may be understood by referring to the context.
It should be understood that, in various embodiments of the present application, the sequence numbers of the foregoing processes do not mean the order of execution, and the order of execution of the processes should be determined by the functions and internal logic thereof, and should not constitute any limitation on the implementation process of the embodiments of the present application.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application. It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.
The foregoing is merely illustrative of the present application, and the present application is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (8)
1. An intelligent monitoring system for food-grade ammonium bicarbonate technology, which is characterized in that: the system comprises a reaction monitoring module, a separation monitoring module, a purification monitoring module, a nitrogen monitoring module, a warning module, a comprehensive calculation module, a comparison module, a product grading module and a management strategy module;
and a reaction monitoring module: for monitoring reaction tank parameters including pressure float index while reacting ammonium hydroxide and carbon dioxide in the reaction tank;
And a separation monitoring module: for monitoring separation parameters, including a cooling rate deviation value, when ammonium bicarbonate crystals are separated from the solution by a crystallization separation technique;
Purification monitoring module: when the ammonium bicarbonate crystals are washed and purified by the washing and purifying equipment, monitoring the washing and purifying time deviation value of the ammonium bicarbonate crystals in the washing and purifying equipment;
And a nitrogen monitoring module: in the processes of reaction, crystallization separation and washing purification, monitoring the nitrogen filling concentration of each process step in real time, and comprehensively calculating the nitrogen filling index;
And the warning module is used for: if the pressure floating index is larger than a preset floating threshold, the cooling rate deviation value is larger than a cooling deviation threshold or the washing purification duration deviation value is larger than a duration deviation threshold, analyzing that the preparation process is abnormal, and sending a warning signal to an administrator;
And the comprehensive calculation module is used for: after the preparation of the ammonium bicarbonate is completed, comprehensively calculating a pressure floating index, a cooling rate deviation value, a washing purification duration deviation value and a nitrogen filling index based on a regression analysis model to generate a product assignment;
And a comparison module: after the product assignment of the ammonium bicarbonate is obtained, comparing the product assignment with a multi-level threshold;
And a product grading module: dividing the prepared ammonium bicarbonate into a first-level product, a second-level product and a third-level product according to the comparison result of the product assignment and the multi-level threshold;
And a management policy module: and generating a strategy for matching the ammonium bicarbonate of the corresponding grade to the corresponding use field according to the grading result of the ammonium bicarbonate, and sending the strategy to an administrator.
2. An intelligent monitoring system for a food grade ammonium bicarbonate process according to claim 1, wherein: the comprehensive calculation module comprises a model unit and an input/output unit;
Model unit: storing a regression analysis model, wherein the function expression of the regression analysis model is ：cpz＝e(C+w1x1+w2x2+w3x3-w4x4);, C is an error correction term, the value of C is 1.236, x 1 is a pressure floating index, x 2 is a cooling rate deviation value, x 3 is a washing purification duration deviation value, x 4 is a nitrogen filling index, w 1、w2、w3、w4 is the pressure floating index, the cooling rate deviation value, the washing purification duration deviation value and the regression coefficient of the nitrogen filling index respectively, and w 1、w2、w3、w4 is larger than 0;
an input/output unit: inputting the pressure floating index, the cooling rate deviation value, the washing purification duration deviation value and the nitrogen filling index which are obtained in real time into a regression analysis model for analysis, and then outputting a product assignment.
3. An intelligent monitoring system for a food grade ammonium bicarbonate process according to claim 2, wherein: the comparison module comprises a threshold storage unit and a comparison judging unit;
Threshold value storage unit: the method comprises the steps that a preset multi-level threshold is stored, the multi-level threshold comprises a first abnormal threshold and a second abnormal threshold, the first abnormal threshold is used for judging whether the ammonium bicarbonate has potential defects, the second abnormal threshold is used for judging the severity of the potential defects of the ammonium bicarbonate, and the first abnormal threshold is smaller than the second abnormal threshold;
And a comparison judging unit: after the product assignment of the ammonium bicarbonate is obtained, comparing the product assignment with a first abnormal threshold value and a second abnormal threshold value;
if the product assignment is less than or equal to a first abnormal threshold value, judging that the ammonium bicarbonate has no potential defect;
if the product assignment is larger than the first abnormal threshold value, judging that the ammonium bicarbonate has potential defects;
If the product assignment is greater than the first abnormal threshold value and the product assignment is less than or equal to the second abnormal threshold value, judging that the ammonium bicarbonate has mild potential defects;
and if the product assignment is larger than the second abnormal threshold value, judging that the ammonium bicarbonate has serious potential defects.
4. An intelligent monitoring system for a food grade ammonium bicarbonate process according to claim 3, wherein: the product grading module comprises a grading unit and a communication unit;
a classification unit: when the ammonium bicarbonate has no potential defect, dividing the ammonium bicarbonate into a first-stage product, when judging that the ammonium bicarbonate has a slight potential defect, dividing the ammonium bicarbonate into a second-stage product, and when judging that the ammonium bicarbonate has a severe potential defect, dividing the ammonium bicarbonate into a third-stage product, wherein the quality of the first-stage product is higher than that of the second-stage product, and the quality of the second-stage product is higher than that of the third-stage product;
A communication unit: and sending the ammonium bicarbonate grading result to the mobile terminal of the administrator based on the 4G/5G signal.
5. The intelligent monitoring system for a food grade ammonium bicarbonate process of claim 4, wherein: the nitrogen monitoring module comprises a concentration monitoring unit, a comprehensive analysis unit and an index acquisition unit;
Concentration monitoring unit: monitoring the nitrogen filling concentration during the process steps of reaction, crystallization separation and washing purification by a nitrogen sensor;
comprehensive analysis unit: comprehensively analyzing nitrogen concentration data in each process step, and calculating nitrogen filling amplitude, wherein the expression is as follows: wherein DQZ is the nitrogen charge amplitude, i=1, 2, 3, ci represents the nitrogen charge concentration of the ith process step, ti represents the duration of the ith process step;
An index acquisition unit: the method is used for analyzing whether the nitrogen filling amplitude is in a preset nitrogen filling range [ D min～Dmax ], if the nitrogen filling amplitude is in a nitrogen filling range [ D min～Dmax ], the nitrogen filling index x 4 =2.413, and if the nitrogen filling amplitude is not in a nitrogen filling range [ D min～Dmax ], the nitrogen filling index x 4 =1.012.
6. The intelligent monitoring system for a food grade ammonium bicarbonate process of claim 5, wherein: the purification monitoring module comprises a timing unit and a second calculating unit;
a timing unit: when the washing and purifying equipment washes and purifies ammonium bicarbonate crystals, monitoring washing time in the washing and purifying equipment in real time through a timer, and recording the monitored washing time data;
A second calculation unit: comparing the actual washing time with the set standard washing time, calculating a deviation value of the washing and purifying time, wherein the calculation expression is as follows: x 3 = |sx-bx|, where x 3 is a washing purification duration deviation value, SX is an actual washing purification duration, and BX is a standard washing purification duration.
7. The intelligent monitoring system for a food grade ammonium bicarbonate process of claim 6, wherein: the separation monitoring module comprises a rate acquisition unit and a calculation unit;
Rate acquisition unit: when the crystallization tank separates ammonium bicarbonate crystals from a solution through a crystallization separation technology, a temperature sensor arranged in the crystallization tank monitors temperature change in the crystallization tank, and the temperature at the current moment and the temperature at the next moment are recorded and then calculated to obtain a cooling rate;
A calculation unit: and after the cooling rate is obtained, taking the absolute value of the difference value obtained by subtracting the cooling rate threshold value from the cooling rate as a cooling rate deviation value.
8. The intelligent monitoring system for a food grade ammonium bicarbonate process of claim 7, wherein: the reaction monitoring module comprises a temperature monitoring unit, a rotating speed monitoring unit, a recording unit and an integral operation unit;
Temperature monitoring unit: the device is used for monitoring the real-time temperature inside the reaction tank;
A rotation speed monitoring unit: the stirring device is used for monitoring the stirring speed in the reaction tank;
A recording unit: recording a time period when the real-time temperature in the reaction tank exceeds a preset temperature threshold as a temperature early-warning time period, and recording a time period when the real-time stirring speed in the reaction tank exceeds a rotating speed threshold as a rotating speed early-warning time period;
An integral operation unit: the pressure floating index is obtained after integral operation is carried out on the time period of the temperature early warning and the time period of the rotating speed early warning, and the calculation expression is as follows: Wherein x 1 is the pressure floating index, F (t) is the real-time pressure variation in the reaction tank, [ t x,ty ] is the time period of temperature early warning, and [ t i,tj ] is the time period of rotating speed early warning.
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| Publication number | Priority date | Publication date | Assignee | Title |
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Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6068012A (en) * | 1998-12-29 | 2000-05-30 | Ashland, Inc. | Performance-based control system |
| FR2826960A1 (en) * | 2001-07-03 | 2003-01-10 | Acetex Chimie | PROCESS FOR CONTROLLING THE PRODUCTION OF ACETIC ACID AND / OR METHYL ACETATE CONTINUOUSLY |
| US20060144057A1 (en) * | 2004-12-30 | 2006-07-06 | Industrial Technology Research Institute | Key performance index calculation and real-time condition monitoring methods for heat exchanger |
| CN109467105A (en) * | 2018-12-14 | 2019-03-15 | 四川金象赛瑞化工股份有限公司 | The production method and process units of ammonium hydrogen carbonate |
| CN115237079A (en) * | 2022-09-15 | 2022-10-25 | 双阳化工淮安有限公司 | Intelligent control system and control method for equipment for chemical production |
| CN115924938A (en) * | 2022-12-30 | 2023-04-07 | 华融化学股份有限公司 | Production process of food-grade potassium carbonate and food-grade potassium bicarbonate |
| CN116026889A (en) * | 2022-12-30 | 2023-04-28 | 苏州春田机械有限公司 | CCD detection device, system and control method for production line |
| CN116351313A (en) * | 2023-05-31 | 2023-06-30 | 广东奔富之堡智能家电工程技术研究中心有限公司 | Intelligent control system of food mixer based on computer control |
| CN116700192A (en) * | 2023-07-19 | 2023-09-05 | 福建友谊胶粘带集团有限公司 | Intelligent monitoring system of adhesive tape production line |
| CN116823065A (en) * | 2023-08-28 | 2023-09-29 | 山东省中源联科生物工程集团有限公司 | Intelligent sodium hyaluronate production quality management system based on data analysis |
| CN117113265A (en) * | 2023-10-25 | 2023-11-24 | 山东鹤来香食品有限公司 | Intelligent monitoring management method and system for food processing equipment |
| CN117213894A (en) * | 2023-11-08 | 2023-12-12 | 青岛船研深海技术有限公司 | Abnormal operation monitoring system for ocean engineering equipment |
| CN117291582A (en) * | 2023-11-27 | 2023-12-26 | 合肥宝康自动化系统有限公司 | Industrial production interconnection monitoring system based on data analysis |
-
2024
- 2024-01-25 CN CN202410101574.1A patent/CN117930897B/en active Active
Patent Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6068012A (en) * | 1998-12-29 | 2000-05-30 | Ashland, Inc. | Performance-based control system |
| FR2826960A1 (en) * | 2001-07-03 | 2003-01-10 | Acetex Chimie | PROCESS FOR CONTROLLING THE PRODUCTION OF ACETIC ACID AND / OR METHYL ACETATE CONTINUOUSLY |
| US20060144057A1 (en) * | 2004-12-30 | 2006-07-06 | Industrial Technology Research Institute | Key performance index calculation and real-time condition monitoring methods for heat exchanger |
| CN109467105A (en) * | 2018-12-14 | 2019-03-15 | 四川金象赛瑞化工股份有限公司 | The production method and process units of ammonium hydrogen carbonate |
| CN115237079A (en) * | 2022-09-15 | 2022-10-25 | 双阳化工淮安有限公司 | Intelligent control system and control method for equipment for chemical production |
| CN115924938A (en) * | 2022-12-30 | 2023-04-07 | 华融化学股份有限公司 | Production process of food-grade potassium carbonate and food-grade potassium bicarbonate |
| CN116026889A (en) * | 2022-12-30 | 2023-04-28 | 苏州春田机械有限公司 | CCD detection device, system and control method for production line |
| CN116351313A (en) * | 2023-05-31 | 2023-06-30 | 广东奔富之堡智能家电工程技术研究中心有限公司 | Intelligent control system of food mixer based on computer control |
| CN116700192A (en) * | 2023-07-19 | 2023-09-05 | 福建友谊胶粘带集团有限公司 | Intelligent monitoring system of adhesive tape production line |
| CN116823065A (en) * | 2023-08-28 | 2023-09-29 | 山东省中源联科生物工程集团有限公司 | Intelligent sodium hyaluronate production quality management system based on data analysis |
| CN117113265A (en) * | 2023-10-25 | 2023-11-24 | 山东鹤来香食品有限公司 | Intelligent monitoring management method and system for food processing equipment |
| CN117213894A (en) * | 2023-11-08 | 2023-12-12 | 青岛船研深海技术有限公司 | Abnormal operation monitoring system for ocean engineering equipment |
| CN117291582A (en) * | 2023-11-27 | 2023-12-26 | 合肥宝康自动化系统有限公司 | Industrial production interconnection monitoring system based on data analysis |
Non-Patent Citations (2)
| Title |
|---|
| 卢斌 等: "白酒生产过程在线监测管理系统的开发", 《酿酒科技》, 31 December 2018 (2018-12-31) * |
| 周忠明: "发酵生产工艺参数的在线监测与自动控制", 《自动化与仪器仪表》, 31 December 2015 (2015-12-31) * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118153821A (en) * | 2024-05-09 | 2024-06-07 | 南昌大学 | Method and system for monitoring and managing processing of scratch-resistant coating of fuel rod |
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