Safety control system of lactic acid bacteria powder heating and drying equipment

Abstract

The present application belongs to the technical field of lactic acid bacteria powder production supervision, and specifically relates to a safety control system for a lactic acid bacteria powder heating and drying device, which comprises a mixing performance monitoring module, a gas quality anomaly detection module, an internal temperature rationality judgment module, an operation power deviation detection module and a safety comprehensive control module; the mixing performance monitoring module is used to monitor the mixing performance of the mixing structure on the lactic acid bacteria powder in real time, the gas quality anomaly detection module is used to detect the hot air entering the lactic acid bacteria powder heating and drying device in real time and judge whether the quality of the input hot air meets the requirements, the internal temperature rationality judgment module is used to analyze and judge the internal temperature rationality of the lactic acid bacteria powder heating and drying device, and the operation power deviation detection module is used to realize the rational judgment of the operation performance of the lactic acid bacteria powder heating and drying device by analyzing the equipment electrical parameter deviation, so as to ensure the safe, stable and continuous operation of the equipment and significantly improve the production efficiency and product quality of the lactic acid bacteria powder.

Description

Technical Field

[0001] This invention relates to the field of lactic acid bacteria powder production supervision technology, specifically a safety control system for lactic acid bacteria powder heating and drying equipment. Background Technology

[0002] Lactic acid bacteria powder is an important food additive, a product of modern food industrialization. It has various applications in the food industry, mainly used in the production of yogurt, steamed cakes, and other foods. It is also a common additive in the production of pickles, vinegar, and other foods. In addition to increasing the shelf life of food, it can also improve the taste of food and help promote the reproduction of human bacteria. In the production process of lactic acid bacteria powder, heating and drying is a key step.

[0003] The heating and drying process of lactic acid bacteria powder requires the use of lactic acid bacteria powder heating and drying equipment. However, existing lactic acid bacteria powder heating and drying equipment is difficult to monitor comprehensively during operation. It cannot reasonably analyze and accurately evaluate its mixing performance, gas supply quality, internal temperature rationality, and power performance, and cannot provide timely safety warnings. This is not conducive to ensuring the safe, stable, and continuous operation of the equipment, and seriously affects the production efficiency and product quality of lactic acid bacteria powder.

[0004] To address the aforementioned technical shortcomings, a solution is proposed. Summary of the Invention

[0005] The purpose of this invention is to provide a safety management and control system for a lactic acid bacteria powder heating and drying equipment. This system solves the problem that existing technologies cannot reasonably analyze and accurately assess the mixing performance, gas delivery quality, internal temperature rationality, and operating power performance of the lactic acid bacteria powder heating and drying equipment, thus failing to provide timely safety warnings and hindering the safe, stable, and continuous operation of the equipment.

[0006] To achieve the above objectives, the present invention provides the following technical solution:

[0007] A safety control system for a lactic acid bacteria powder heating and drying equipment includes a mixing performance monitoring module, a gas supply quality anomaly detection module, an internal temperature rationality judgment module, an operating power deviation detection module, and a comprehensive safety control module. The mixing performance monitoring module is used to monitor the mixing performance of the lactic acid bacteria powder in real time during the operation of the lactic acid bacteria powder heating and drying equipment, and to generate a mixing performance qualified signal or a mixing performance unqualified signal through analysis, and send the mixing performance qualified signal or mixing performance unqualified signal to the comprehensive safety control module.

[0008] The gas quality anomaly detection module is used to detect the hot air entering the lactic acid bacteria powder heating and drying equipment in real time during operation, determine whether the quality of the input hot air meets the requirements, and generate a high-quality or low-quality signal, which is then sent to the safety integrated management module. The internal temperature rationality judgment module sets up several monitoring points inside the lactic acid bacteria powder heating and drying equipment, detects the temperature of all monitoring points during operation, analyzes and judges the rationality of the internal temperature, and generates a rational or unreasonable internal temperature signal, which is then sent to the safety integrated management module.

[0009] The power deviation monitoring module is used to acquire and monitor the required power parameters during the operation of the lactic acid bacteria powder heating and drying equipment. Through equipment power parameter deviation analysis, it generates power deviation signals or power optimization signals and sends them to the safety integrated management module. When the safety integrated management module receives signals such as unqualified mixing performance, poor conveying quality, unreasonable internal temperature, or power deviation, it generates corresponding early warning information and sends the corresponding early warning information to the early warning terminal.

[0010] Furthermore, the specific operation process of the mixing performance monitoring module includes:

[0011] The operation of the mixing structure in the lactic acid bacteria powder heating and drying equipment is monitored in real time. The mixing anomaly value is obtained by analyzing the actual mixing condition. The average value of all mixing anomaly values ​​within a unit time is calculated to obtain the mixing condition analysis value. The mixing anomaly value is compared with the preset mixing anomaly threshold. If the mixing anomaly value exceeds the preset mixing anomaly threshold, it is determined that the mixing structure is in a poor mixing state at the corresponding time.

[0012] The total duration and maximum duration of the mixing structure being in a poor mixing state per unit time are marked as the poor mixing duration value and the poor mixing amplitude value, respectively. The mixing condition value, the poor mixing duration value, and the poor mixing amplitude value are numerically calculated to obtain the mixing detection evaluation value. The mixing detection evaluation value is compared with the preset mixing detection evaluation threshold. If the mixing detection evaluation value exceeds the preset mixing detection evaluation threshold, a mixing performance failure signal is generated; if the mixing detection evaluation value does not exceed the preset mixing detection evaluation threshold, a mixing performance qualification signal is generated.

[0013] Furthermore, the specific analysis process for the actual mixing condition detection and analysis is as follows:

[0014] The turning speed of the mixing structure is collected, and the deviation of the turning speed from the preset standard turning speed in the current working mode of the lactic acid bacteria powder heating and drying equipment is marked as the mixing turning condition value; the shaking frequency and shaking amplitude of the mixing structure are also collected, and the deviation of the shaking frequency from the preset standard shaking frequency value in the current working mode of the lactic acid bacteria powder heating and drying equipment is marked as the mixing shaking frequency value, and the mixing shaking amplitude value is obtained similarly; the mixing anomaly detection value is obtained by numerically calculating the mixing turning condition value, the mixing shaking frequency value, and the mixing shaking amplitude value.

[0015] Furthermore, the specific operation process of the gas transmission quality anomaly detection module includes:

[0016] The speed at which hot air enters the heating and drying equipment for lactic acid bacteria powder is collected and marked as hot air velocity value. The mean and variance of all hot air velocity values ​​within a unit time are calculated to obtain the hot air velocity meter value and the hot air velocity wave value. The hot air velocity meter value and the hot air velocity wave value are compared with the preset hot air velocity meter value range and the preset hot air velocity wave threshold respectively. If the hot air velocity meter value is not within the preset hot air velocity meter value range or the hot air velocity wave value exceeds the preset hot air velocity wave threshold, a poor transmission quality signal is generated.

[0017] If the hot air velocity meter value is within the preset hot air velocity meter value range and the hot air velocity wave value does not exceed the preset hot air velocity wave threshold, the real-time temperature of the input hot air is collected, the difference between the real-time temperature and the median of the preset suitable hot air temperature range is calculated and the absolute value is taken to obtain the hot air temperature value, and the real-time humidity and real-time particle concentration of the input hot air are collected and marked as hot air humidity value and hot air particle value, respectively. The hot air quality inspection value is obtained by numerically calculating the hot air temperature value, hot air humidity value and hot air particle value.

[0018] A rectangular coordinate system located in the first quadrant is established with time as the X-axis and hot air quality inspection value as the Y-axis. All hot air quality inspection values ​​within a unit time are placed into the rectangular coordinate system to form a hot air quality inspection curve. A judgment ray parallel to the X-axis and with its endpoint on the Y-axis is drawn in the rectangular coordinate system and marked as the hot air quality judgment ray. The closed area formed by the part of the hot air quality inspection curve above the hot air quality judgment ray and the hot air quality judgment ray is marked as the hot air poor condition area. The area of ​​the corresponding hot air poor condition area is marked as the hot air poor condition value.

[0019] The hot air quality analysis value is obtained by summing all hot air quality analysis values, and the hot air quality analysis value with the largest value is marked as the hot air quality amplitude value. The hot air quality analysis value and the hot air quality amplitude value are compared with the preset hot air quality analysis threshold and the preset hot air quality amplitude threshold respectively. If the hot air quality analysis value or the hot air quality amplitude value exceeds the corresponding preset threshold, a power supply quality quality signal is generated; if neither the hot air quality analysis value nor the hot air quality amplitude value exceeds the corresponding preset threshold, a power supply quality quality signal is generated.

[0020] Furthermore, the specific operation process of the internal temperature rationality judgment module includes:

[0021] The temperature of all monitoring points in the lactic acid bacteria powder heating and drying equipment is collected and marked as the internal temperature measured value. The variance of the internal temperature measured values ​​of all monitoring points is calculated to obtain the internal temperature fluctuation value. The mean of all internal temperature fluctuation values ​​within a unit time is calculated to obtain the internal temperature wave measurement value. The percentage of internal temperature fluctuation values ​​exceeding the preset internal temperature fluctuation threshold within a unit time is marked as the internal temperature wave detection value. The internal temperature wave measurement value and the internal temperature wave detection value are compared with the preset internal temperature wave measurement threshold and the preset internal temperature wave detection threshold respectively. If the internal temperature wave measurement value or the internal temperature wave detection value exceeds the corresponding preset threshold, an internal temperature unreasonable signal is generated.

[0022] If both the measured and detected internal temperature wave values ​​do not exceed the corresponding preset thresholds, the deviation of the actual detected internal temperature value at the corresponding monitoring point from the preset internal temperature standard value is marked as the internal temperature deviation value. The average of all internal temperature deviation values ​​at the corresponding monitoring point within a unit time is calculated to obtain the internal temperature characteristic value. The internal temperature characteristic value is compared with the preset internal temperature characteristic value range. If the internal temperature characteristic value exceeds the maximum value of the preset internal temperature characteristic value range, the corresponding monitoring point is marked as a high monitoring point; if the internal temperature characteristic value is within the preset internal temperature characteristic value range, the corresponding monitoring point is marked as a low monitoring point; if the internal temperature characteristic value does not exceed the minimum value of the preset internal temperature characteristic value range, the corresponding monitoring point is marked as a suitable monitoring point.

[0023] If there are high monitoring points in the lactic acid bacteria powder heating and drying equipment, an internal temperature unreasonable signal is generated. If there are no high monitoring points in the lactic acid bacteria powder heating and drying equipment, the number of low monitoring points in the lactic acid bacteria powder heating and drying equipment is obtained, and the ratio of this number to the total number of monitoring points is marked as the internal temperature monitoring value. The internal temperature monitoring value is compared with the preset internal temperature monitoring threshold. If the internal temperature monitoring value exceeds the preset internal temperature monitoring threshold, an internal temperature unreasonable signal is generated. If the internal temperature monitoring value does not exceed the preset internal temperature monitoring threshold, an internal temperature reasonable signal is generated.

[0024] Furthermore, the specific analysis process for the equipment electrical parameter deviation analysis is as follows:

[0025] The operating energy consumption of the lactic acid bacteria powder heating and drying equipment per unit time is collected. The operating energy consumption is compared with the preset operating energy consumption range. If the operating energy consumption is not within the preset operating energy consumption range, an operating power deviation signal is generated. If the operating energy consumption is within the preset operating energy consumption range, the operating current curve and operating voltage curve of the lactic acid bacteria powder heating and drying equipment per unit time are collected. The current difference between the highest and lowest points of the operating current curve is marked as the current amplitude value, the interval between the highest and lowest points of the operating current curve is marked as the current time interval value, and the ratio of the current amplitude value to the current time interval value is marked as the current anomaly value. Similarly, the voltage amplitude value and voltage anomaly value are obtained.

[0026] Furthermore, the deviation of the operating energy consumption from the median of the preset operating energy consumption range is marked as the energy consumption deviation value. The electrical parameter deviation detection value is obtained by numerically calculating the energy consumption deviation value, current amplitude value, current anomaly value, voltage amplitude value, and voltage anomaly value. The electrical parameter deviation detection value is compared with the preset electrical parameter deviation detection threshold. If the electrical parameter deviation detection value exceeds the preset electrical parameter deviation detection threshold, an operating power deviation signal is generated; if the electrical parameter deviation detection value does not exceed the preset electrical parameter deviation detection threshold, an operating power good signal is generated.

[0027] Furthermore, it also includes a safety prevention decision module. The safety comprehensive management and control module sends the corresponding early warning information to the safety prevention decision module. The safety prevention decision module sets a prevention period of P1 days. After the number of days reaches P1, it collects the total operating time of the lactic acid bacteria powder heating and drying equipment within the prevention period, and collects the number of early warning information generated within the prevention period and marks it as the heating and drying alarm frequency value. The ratio of the heating and drying alarm frequency value to the total operating time is marked as the alarm frequency abnormality value.

[0028] The system collects the total number of times the lactic acid bacteria powder heating and drying equipment was suspended due to malfunction during the prevention period and marks it as a temporary operation detection value. It also collects the response time of the lactic acid bacteria powder heating and drying equipment to overload protection and short circuit protection during the prevention period and marks it as the equipment protection effectiveness value. The system calculates the prevention decision value by numerically calculating the alarm frequency abnormality value, the temporary operation detection value and the equipment protection effectiveness value. The system compares the prevention decision value with the preset prevention decision threshold. If the prevention decision value exceeds the preset prevention decision threshold, a prevention warning signal is generated and sent to the warning terminal.

[0029] Compared with the prior art, the beneficial effects of the present invention are:

[0030] 1. In this invention, the mixing performance monitoring module monitors the mixing performance of the mixing structure on the lactic acid bacteria powder in real time, the air quality inspection module detects the hot air entering the lactic acid bacteria powder heating and drying equipment in real time and judges whether the quality of the input hot air meets the requirements, the internal temperature rationality judgment module analyzes and judges the internal temperature rationality of the lactic acid bacteria powder heating and drying equipment, and the power deviation detection module analyzes the equipment power parameters to make a reasonable judgment on the power operation performance of the lactic acid bacteria powder heating and drying equipment. This helps to ensure the safe, stable and continuous operation of the equipment and significantly improves the production efficiency and product quality of lactic acid bacteria powder.

[0031] 2. In this invention, the safety comprehensive management and control module sends the corresponding early warning information to the safety prevention decision module. The safety prevention decision module comprehensively evaluates and analyzes the operational safety hazards of the lactic acid bacteria powder heating and drying equipment during the prevention period and determines whether to generate a prevention early warning signal. When a prevention early warning signal is generated, the early warning terminal issues a corresponding warning to remind the management personnel to strengthen the operation supervision and equipment maintenance of the lactic acid bacteria powder heating and drying equipment in the future, thereby ensuring its subsequent safe and stable operation and improving its operational effect. The invention has a high degree of intelligence. Attached Figure Description

[0032] To facilitate understanding by those skilled in the art, the present invention will be further described below with reference to the accompanying drawings;

[0033] Figure 1 This is a system block diagram of Embodiment 1 of the present invention;

[0034] Figure 2 This is a system block diagram of Embodiment 2 of the present invention. Detailed Implementation

[0035] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0036] Example 1: As Figure 1 As shown, the present invention proposes a safety control system for a lactic acid bacteria powder heating and drying equipment, which includes a mixing performance monitoring module, a gas supply quality anomaly detection module, an internal temperature rationality judgment module, an operating power deviation detection module, and a safety comprehensive control module. The mixing performance monitoring module, the gas supply quality anomaly detection module, the internal temperature rationality judgment module, and the operating power deviation detection module are all communicatively connected to the safety comprehensive control module, and the safety comprehensive control module is communicatively connected to the early warning terminal.

[0037] The mixing performance monitoring module is used to monitor the mixing performance of lactic acid bacteria powder in real time during the operation of the lactic acid bacteria powder heating and drying equipment. Through analysis, it generates a qualified or unqualified mixing performance signal and sends it to the safety integrated control module. This allows for reasonable analysis and timely and accurate feedback of the mixing structure's performance during the operation of the lactic acid bacteria powder heating and drying equipment, helping the lactic acid bacteria powder to be evenly heated and agitated in the drying chamber, preventing clumping. The specific operation process of the mixing performance monitoring module is as follows:

[0038] The operation of the mixing structure (which agitates the lactic acid bacteria powder in the drying chamber by rotating and shaking) in the lactic acid bacteria powder heating and drying equipment is monitored in real time. The mixing condition is detected and analyzed to obtain the mixing defect value. Specifically, the turning speed of the mixing structure is collected, and the deviation value of the turning speed compared with the preset standard turning speed in the current working mode of the lactic acid bacteria powder heating and drying equipment is marked as the mixing turning condition value; the shaking frequency and shaking amplitude of the mixing structure are collected, and the deviation value of the shaking frequency compared with the preset standard shaking frequency value in the current working mode of the lactic acid bacteria powder heating and drying equipment is marked as the mixing shaking frequency value, and the deviation value of the shaking amplitude compared with the preset standard shaking amplitude value in the current working mode of the lactic acid bacteria powder heating and drying equipment is marked as the mixing shaking amplitude value.

[0039] The mixing anomaly detection value BX is obtained by numerically calculating the mixing condition value BK, the mixing frequency value BP, and the mixing amplitude value BY using the formula BX=ky1*BK+(ky2*BP+ky3*BY) / 2. Here, ky1, ky2, and ky3 are preset proportional coefficients, and all values ​​of ky1, ky2, and ky3 are greater than zero. Furthermore, the larger the mixing anomaly detection value BX, the worse the operating condition of the mixing structure in the lactic acid bacteria powder heating and drying equipment at the corresponding moment, and the less conducive it is to ensuring uniform heating of the lactic acid bacteria powder.

[0040] The average of all abnormal mixing values ​​within a unit time is used to calculate the mixing condition value. The abnormal mixing value is then compared with a preset abnormal mixing threshold. If the abnormal mixing value exceeds the preset abnormal mixing threshold, it indicates that the operating state of the mixing structure at the corresponding time is poor, and the mixing structure at the corresponding time is judged to be in a poor mixing state. The total duration and the maximum duration of the mixing structure in a poor mixing state within a unit time are marked as the poor mixing duration value and the poor mixing amplitude value, respectively.

[0041] Through formula The mixing condition analysis value PY, the duration of poor mixing condition PR, and the amplitude of poor mixing condition PQ are numerically calculated to obtain the mixing detection evaluation value PX. Here, yp1, yp2, and yp3 are preset proportional coefficients, where yp3 > yp2 > yp1 > 0. Furthermore, the larger the value of the mixing detection evaluation value PX, the more abnormal the operation of the mixing structure per unit time. The mixing detection evaluation value PX is compared with a preset mixing detection evaluation threshold. If the mixing detection evaluation value PX exceeds the preset mixing detection threshold, it indicates that the operation of the mixing structure per unit time is relatively abnormal, and a mixing performance failure signal is generated. If the mixing detection evaluation value PX does not exceed the preset mixing detection threshold, it indicates that the operation of the mixing structure per unit time is relatively normal, and a mixing performance qualification signal is generated.

[0042] The gas supply quality anomaly detection module is used to monitor the hot air entering the lactic acid bacteria powder heating and drying equipment in real time during operation. It determines whether the quality of the input hot air meets requirements and generates either a high-quality or low-quality signal, which is then sent to the safety integrated control module. This allows for a reasonable assessment of the quality of the input hot air and timely and accurate feedback, significantly reducing the adverse effects of the input hot air on the quality of the lactic acid bacteria powder product. The specific operation process of the gas supply quality anomaly detection module is as follows:

[0043] The speed at which hot air enters the heating and drying equipment for lactic acid bacteria powder is collected and marked as the hot air velocity value. The mean and variance of all hot air velocity values ​​within a unit of time are calculated to obtain the hot air velocity meter value and the hot air velocity wave value. The hot air velocity meter value and the hot air velocity wave value are compared with the preset hot air velocity meter value range and the preset hot air velocity wave threshold respectively. If the hot air velocity meter value is not within the preset hot air velocity meter value range or the hot air velocity wave value exceeds the preset hot air velocity wave threshold, it indicates that the speed of the input hot air does not meet the requirements, and a poor output quality signal is generated.

[0044] If the hot air velocity meter value is within the preset hot air velocity meter value range and the hot air velocity wave value does not exceed the preset hot air velocity wave threshold, the real-time temperature of the input hot air is collected, the difference between the real-time temperature and the median of the preset suitable hot air temperature range is calculated and the absolute value is taken to obtain the hot air temperature value, and the real-time humidity and real-time particle concentration of the input hot air (i.e., the data value of the concentration of dust particles contained in the hot air) are collected and marked as hot air humidity value and hot air particle value, respectively.

[0045] The hot air quality inspection value RX is obtained by numerically calculating the hot air temperature value RW, hot air humidity value RF, and hot air particle value RP using the formula RX=(ym1*RW+ym2*RF+ym3*RP) / 3. Here, ym1, ym2, and ym3 are preset proportional coefficients, where ym3>ym2>ym1>0. Furthermore, the larger the hot air quality inspection value RX, the worse the quality of the input hot air at that time, and the less conducive it is to ensuring the product quality of the produced lactic acid bacteria powder.

[0046] A rectangular coordinate system is established in the first quadrant with time as the X-axis and hot air quality inspection value as the Y-axis. All hot air quality inspection values ​​within a unit time are placed into the rectangular coordinate system to form a hot air quality inspection curve. A judgment ray parallel to the X-axis and with its endpoint on the Y-axis is drawn in the rectangular coordinate system and marked as the hot air quality judgment ray. The closed area formed by the part of the hot air quality inspection curve above the hot air quality judgment ray and the hot air quality judgment ray is marked as the hot air poor condition area. The area of ​​the corresponding hot air poor condition area is marked as the hot air poor condition value. It should be noted that if the end point of the hot air quality inspection curve is above the hot air quality judgment ray, a line segment perpendicular to the hot air quality judgment ray is drawn downward from the end point to form the last hot air poor condition area.

[0047] The hot air quality analysis value is obtained by summing all the hot air quality analysis values, and the hot air quality analysis value with the largest value is marked as the hot air quality amplitude value. The hot air quality analysis value and the hot air quality amplitude value are compared with the preset hot air quality analysis threshold and the preset hot air quality amplitude threshold respectively. If the hot air quality analysis value or the hot air quality amplitude value exceeds the corresponding preset threshold, it indicates that the overall quality of the hot air input per unit time is poor, and a poor output quality signal is generated. If neither the hot air quality analysis value nor the hot air quality amplitude value exceeds the corresponding preset threshold, it indicates that the overall quality of the hot air input per unit time is good, and a good output quality signal is generated.

[0048] The internal temperature rationality judgment module sets up several monitoring points inside the lactic acid bacteria powder heating and drying equipment. During the operation of the equipment, the temperature of all monitoring points is detected, and the internal temperature rationality is judged by analysis. An internal temperature rationality signal or an internal temperature unreasonable signal is generated and sent to the safety integrated control module. This allows for reasonable analysis and accurate feedback of the internal temperature status of the lactic acid bacteria powder heating and drying equipment, which helps ensure the safe and stable operation of the equipment and improves the production quality of the lactic acid bacteria powder. The specific operation process of the internal temperature rationality judgment module is as follows:

[0049] The temperatures of all monitoring points in the lactic acid bacteria powder heating and drying equipment are collected and marked as internal temperature measured values. The variance of the internal temperature measured values ​​of all monitoring points is calculated to obtain the internal temperature fluctuation value. The larger the internal temperature fluctuation value, the more unstable the internal temperature performance at the corresponding moment. The mean of all internal temperature fluctuation values ​​within a unit time is calculated to obtain the internal temperature wave measurement value. The percentage of internal temperature fluctuation values ​​exceeding the preset internal temperature fluctuation threshold within a unit time is marked as the internal temperature wave detection value. The internal temperature wave measurement value and the internal temperature wave detection value are compared with the preset internal temperature wave measurement threshold and the preset internal temperature wave detection threshold respectively. If the internal temperature wave measurement value or the internal temperature wave detection value exceeds the corresponding preset threshold, an internal temperature unreasonable signal is generated.

[0050] If neither the internal temperature wave measurement value nor the internal temperature wave detection value exceeds the corresponding preset threshold, the deviation of the internal temperature detection value of the corresponding monitoring point from the preset internal temperature detection standard value is marked as the internal temperature deviation value. The internal temperature deviation value is obtained by averaging all the internal temperature deviation values ​​of the corresponding monitoring points within a unit time. The internal temperature deviation value is then compared with the preset internal temperature deviation value range.

[0051] If the internal temperature deviation value exceeds the maximum value of the preset internal temperature deviation value range, it indicates that the temperature deviation of the corresponding monitoring point is large, and the corresponding monitoring point will be marked as a high monitoring point; if the internal temperature deviation value is within the preset internal temperature deviation value range, it indicates that the temperature deviation of the corresponding monitoring point is small, and the corresponding monitoring point will be marked as a low monitoring point; if the internal temperature deviation value does not exceed the minimum value of the preset internal temperature deviation value range, it indicates that the temperature of the corresponding monitoring point is basically not deviated and the temperature performance is excellent, and the corresponding monitoring point will be marked as a suitable monitoring point.

[0052] If there are high monitoring points in the lactic acid bacteria powder heating and drying equipment, an internal temperature unreasonable signal is generated. If there are no high monitoring points in the lactic acid bacteria powder heating and drying equipment, the number of low monitoring points in the equipment is obtained and the ratio of this number to the total number of monitoring points is marked as the internal temperature monitoring value. The internal temperature monitoring value is compared with a preset internal temperature monitoring threshold. If the internal temperature monitoring value exceeds the preset internal temperature monitoring threshold, it indicates that the internal temperature performance of the lactic acid bacteria powder heating and drying equipment is poor, and an internal temperature unreasonable signal is generated. If the internal temperature monitoring value does not exceed the preset internal temperature monitoring threshold, it indicates that the internal temperature performance of the lactic acid bacteria powder heating and drying equipment is good, and an internal temperature reasonable signal is generated.

[0053] The power deviation monitoring module is used to acquire and monitor the required power parameters during the operation of the lactic acid bacteria powder heating and drying equipment. Through equipment power parameter deviation analysis, it generates power deviation signals or power optimization signals, which are then sent to the safety integrated management module. This allows for a reasonable assessment of the power operation status of the lactic acid bacteria powder heating and drying equipment, enabling timely adjustment of power parameters and further ensuring the safe and stable operation of the equipment. The specific analysis process of the equipment power parameter deviation monitoring is as follows:

[0054] The operating energy consumption of the lactic acid bacteria powder heating and drying equipment per unit time is collected. The operating energy consumption is compared with the preset operating energy consumption range in the current working mode. If the operating energy consumption is not within the preset operating energy consumption range, an operating power deviation signal is generated. If the operating energy consumption is within the preset operating energy consumption range, the operating current curve and operating voltage curve of the lactic acid bacteria powder heating and drying equipment per unit time are collected. The current difference between the highest and lowest points of the operating current curve is marked as the current amplitude value, the interval between the highest and lowest points of the operating current curve is marked as the current time interval value, and the ratio of the current amplitude value to the current time interval value is marked as the current anomaly value. Similarly, the voltage amplitude value and voltage anomaly value are obtained.

[0055] Furthermore, the deviation of the operating energy consumption from the median of the preset operating energy consumption range is marked as the energy consumption deviation value, which is then calculated using the formula... The electrical parameter deviation detection value GX is obtained by numerically calculating the energy consumption deviation value GL, current amplitude value GK, current anomaly value GY, voltage amplitude value GP, and voltage anomaly value GW. Among them, ey1, ey2, ey3, ey4, and ey5 are preset proportional coefficients, and the values ​​of ey1, ey2, ey3, ey4, and ey5 are all positive numbers.

[0056] It should be noted that the larger the value of the electrical parameter deviation test value GX, the worse the power operation performance of the lactic acid bacteria powder heating and drying equipment. The electrical parameter deviation test value GX is compared with the preset electrical parameter deviation test threshold. If the electrical parameter deviation test value GX exceeds the preset electrical parameter deviation test threshold, it indicates that the power operation performance of the lactic acid bacteria powder heating and drying equipment is poor, and an operating power deviation signal is generated. If the electrical parameter deviation test value GX does not exceed the preset electrical parameter deviation test threshold, it indicates that the power operation performance of the lactic acid bacteria powder heating and drying equipment is good, and an operating power good signal is generated.

[0057] When the safety integrated management module receives signals indicating unqualified mixing performance, poor conveying quality, unreasonable internal temperature, or abnormal operating power, it generates corresponding early warning information and sends it to the early warning terminal. The early warning terminal displays the early warning information and issues corresponding warnings upon receiving the information, reminding managers to check in a timely manner and take appropriate control measures as needed. This ensures the safe, stable, and continuous operation of the lactic acid bacteria powder heating and drying equipment, and guarantees the heating and drying effect of the lactic acid bacteria powder to improve product quality.

[0058] Example 2: Figure 2As shown, the difference between this embodiment and Embodiment 1 is that the safety management and control system of the lactic acid bacteria powder heating and drying equipment also includes a safety prevention decision module. The safety comprehensive management and control module sends the corresponding early warning information to the safety prevention decision module. The safety prevention decision module sets a prevention period of P1 days, preferably P1 is eighteen days. After the number of days reaches P1, the total operating time of the lactic acid bacteria powder heating and drying equipment within the prevention period is collected, and the number of times early warning information is generated within the prevention period is collected and marked as the heating and drying alarm frequency value. The ratio of the heating and drying alarm frequency value to the total operating time is marked as the alarm frequency anomaly value. The larger the alarm frequency anomaly value, the worse the operating condition of the lactic acid bacteria powder heating and drying equipment within the prevention period.

[0059] The total number of times the lactic acid bacteria powder heating and drying equipment was suspended due to malfunction during the prevention period was collected and marked as the temporary operation detection value. The response time of the lactic acid bacteria powder heating and drying equipment to overload protection and short circuit protection during the prevention period (i.e., the average response time of automatic corresponding protection measures for overload and short circuit during the prevention period) was collected and marked as the equipment protection effectiveness value. The larger the value of the equipment protection effectiveness value, the worse the protection performance of the lactic acid bacteria powder heating and drying equipment during the prevention period.

[0060] Through formula The alarm frequency abnormality value FY, the temporary operation detection value FP, and the equipment protection effectiveness value FS are numerically calculated to obtain the prevention decision value FL. Among them, a1, a2, and a3 are preset proportional coefficients, and a1 > a2 > a3 > 0. Furthermore, the larger the value of the prevention decision value FL, the greater the overall safety hazard of the lactic acid bacteria powder heating and drying equipment during the prevention period.

[0061] Comparing the prevention decision value FL with the preset prevention decision threshold indicates that the overall operational safety risks of the lactic acid bacteria powder heating and drying equipment are relatively high during the prevention period. If the prevention decision value FL exceeds the preset prevention decision threshold, a prevention warning signal is generated and sent to the warning terminal. When the warning terminal receives the prevention warning signal, it issues a corresponding warning to remind managers to strengthen the operation supervision and equipment maintenance of the lactic acid bacteria powder heating and drying equipment in the future, thereby ensuring its safe and stable operation and improving its operational efficiency.

[0062] The working principle of this invention is as follows: During operation of the lactic acid bacteria powder heating and drying equipment, the mixing performance monitoring module monitors the mixing structure's stirring performance on the lactic acid bacteria powder in real time. This helps ensure that the lactic acid bacteria powder is evenly heated and agitated in the drying chamber to prevent clumping. The air quality inspection module detects the hot air entering the lactic acid bacteria powder heating and drying equipment in real time, determining whether the quality of the input hot air meets the requirements, significantly reducing the adverse effects of the input hot air on the quality of the lactic acid bacteria powder product. The internal temperature rationality judgment module sets several monitoring points inside the lactic acid bacteria powder heating and drying equipment, and analyzes and judges the rationality of the internal temperature of the lactic acid bacteria powder heating and drying equipment. The system monitors and obtains the necessary power parameters during the operation of the lactic acid bacteria powder heating and drying equipment via the power deviation detection module. Through power parameter deviation analysis, it makes a reasonable judgment on the power operation performance of the equipment. When signals such as unqualified mixing performance, poor quality of conveying materials, unreasonable internal temperature, or abnormal power deviation are generated, the safety integrated control module sends corresponding early warning information to the early warning terminal to remind managers to check in time and take appropriate control measures as needed. This ensures the safe, stable, and continuous operation of the lactic acid bacteria powder heating and drying equipment and guarantees the heating and drying effect of the lactic acid bacteria powder to improve product quality.

[0063] The above formulas are all dimensionless numerical calculations. These formulas are derived from software simulations using collected data to obtain the most recent real-world results. The preset parameters in the formulas are set by those skilled in the art according to actual conditions. The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. The preferred embodiments do not describe all details exhaustively, nor do they limit the invention to specific implementations. Obviously, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims

1. A safety management system for a lactic acid bacteria powder heat drying apparatus, characterized by, It includes a mixing performance monitoring module, a gas transmission quality anomaly detection module, an internal temperature rationality judgment module, an operating power deviation detection module, and a comprehensive safety management module. The mixing performance monitoring module is used to monitor the mixing performance of the lactic acid bacteria powder in real time during the operation of the lactic acid bacteria powder heating and drying equipment. Through analysis, it generates a mixing performance qualified signal or a mixing performance unqualified signal and sends the mixing performance qualified signal or mixing performance unqualified signal to the comprehensive safety management module. The gas quality inspection module is used to detect the hot air entering the lactic acid bacteria powder heating and drying equipment in real time during the operation of the equipment, determine whether the quality of the input hot air meets the requirements, generate a gas quality good signal or a gas quality poor signal, and send the gas quality good signal or gas quality poor signal to the safety integrated management and control module. The internal temperature rationality judgment module sets up several monitoring points inside the lactic acid bacteria powder heating and drying equipment. During the operation of the lactic acid bacteria powder heating and drying equipment, the temperature of all monitoring points is detected. The module analyzes and judges the rationality of the internal temperature, generates an internal temperature rationality signal or an internal temperature unreasonable signal, and sends the internal temperature rationality signal or internal temperature unreasonable signal to the safety integrated management and control module. The power deviation monitoring module is used to acquire and monitor the required power parameters during the operation of the lactic acid bacteria powder heating and drying equipment. Through equipment power parameter deviation analysis, it generates power deviation signals or power optimization signals and sends them to the safety integrated management module. When the safety integrated management module receives signals such as unqualified mixing performance, poor conveying quality, unreasonable internal temperature, or power deviation, it generates corresponding early warning information and sends the corresponding early warning information to the early warning terminal. The specific operation process of the mixing performance monitoring module includes: The operation of the mixing structure in the lactic acid bacteria powder heating and drying equipment is monitored in real time. The mixing anomaly value is obtained by analyzing the actual mixing condition. The average value of all mixing anomaly values ​​within a unit time is calculated to obtain the mixing condition analysis value. The mixing anomaly value is compared with the preset mixing anomaly threshold. If the mixing anomaly value exceeds the preset mixing anomaly threshold, it is determined that the mixing structure is in a poor mixing state at the corresponding time. The total duration and maximum duration of the mixing structure being in a poor mixing state per unit time are marked as the poor mixing duration value and the poor mixing amplitude value, respectively. The mixing condition value, the poor mixing duration value, and the poor mixing amplitude value are numerically calculated to obtain the mixing detection evaluation value. If the mixing detection evaluation value exceeds the preset mixing detection evaluation threshold, a mixing performance failure signal is generated; if the mixing detection evaluation value does not exceed the preset mixing detection threshold, a mixing performance qualification signal is generated. The specific analysis process for the actual mixing condition detection and analysis is as follows: The turning speed of the mixing structure is collected, and the deviation of the turning speed from the preset standard turning speed in the current working mode of the lactic acid bacteria powder heating and drying equipment is marked as the mixing turning condition value; the shaking frequency and shaking amplitude of the mixing structure are also collected, and the deviation of the shaking frequency from the preset standard shaking frequency value in the current working mode of the lactic acid bacteria powder heating and drying equipment is marked as the mixing shaking frequency value, and the mixing shaking amplitude value is obtained similarly; the mixing anomaly detection value is obtained by numerically calculating the mixing turning condition value, the mixing shaking frequency value, and the mixing shaking amplitude value.

2. The safety control system for a lactic acid bacteria powder heating and drying equipment according to claim 1, characterized in that, The specific operation process of the gas transmission quality anomaly detection module includes: The speed at which hot air enters the heating and drying equipment for lactic acid bacteria powder is collected and marked as hot air velocity value. The mean and variance of all hot air velocity values ​​within a unit time are calculated to obtain the hot air velocity meter value and the hot air velocity wave value. If the hot air velocity meter value is not within the preset hot air velocity meter value range or the hot air velocity wave value exceeds the preset hot air velocity wave threshold, a poor transmission quality signal is generated. If the hot air velocity meter value is within the preset hot air velocity meter value range and the hot air velocity wave value does not exceed the preset hot air velocity wave threshold, then the hot air quality degradation value and hot air quality degradation amplitude value are compared with the preset hot air quality degradation threshold and preset hot air quality degradation amplitude threshold respectively. If the hot air quality degradation value or hot air quality degradation amplitude value exceeds the corresponding preset threshold, then a power quality degradation signal is generated; if neither the hot air quality degradation value nor the hot air quality degradation amplitude value exceeds the corresponding preset threshold, then a power quality optimization signal is generated.

3. The safety control system for a lactic acid bacteria powder heating and drying equipment according to claim 1, characterized in that, The specific operation process of the internal temperature rationality judgment module includes: The temperature of all monitoring points in the lactic acid bacteria powder heating and drying equipment is collected and marked as the internal temperature measured value. The variance of the internal temperature measured values ​​of all monitoring points is calculated to obtain the internal temperature fluctuation value. The mean of all internal temperature fluctuation values ​​within a unit time is calculated to obtain the internal temperature wave measurement value. The percentage of internal temperature fluctuation values ​​exceeding the preset internal temperature fluctuation threshold within a unit time is marked as the internal temperature wave detection value. If the internal temperature wave measurement value or the internal temperature wave detection value exceeds the corresponding preset threshold, an internal temperature unreasonable signal is generated.

4. The safety control system for a lactic acid bacteria powder heating and drying equipment according to claim 3, characterized in that, If both the measured and detected internal temperature wave values ​​do not exceed the corresponding preset thresholds, the deviation of the actual detected internal temperature value at the corresponding monitoring point from the preset internal temperature standard value is marked as the internal temperature deviation value. The average of all internal temperature deviation values ​​at the corresponding monitoring point within a unit time is calculated to obtain the internal temperature characteristic value. If the internal temperature characteristic value exceeds the maximum value of the preset internal temperature characteristic value range, the corresponding monitoring point is marked as a high monitoring point; if the internal temperature characteristic value is within the preset internal temperature characteristic value range, the corresponding monitoring point is marked as a low monitoring point; if the internal temperature characteristic value does not exceed the minimum value of the preset internal temperature characteristic value range, the corresponding monitoring point is marked as a suitable monitoring point. If there are high monitoring points in the lactic acid bacteria powder heating and drying equipment, an internal temperature unreasonable signal is generated; if there are no high monitoring points in the lactic acid bacteria powder heating and drying equipment, the number of low monitoring points in the lactic acid bacteria powder heating and drying equipment is obtained and the ratio of it to the total number of monitoring points is marked as the internal temperature monitoring value. If the internal temperature monitoring value exceeds the preset internal temperature monitoring threshold, an internal temperature unreasonable signal is generated; if the internal temperature monitoring value does not exceed the preset internal temperature monitoring threshold, an internal temperature reasonable signal is generated.

5. The safety control system for a lactic acid bacteria powder heating and drying equipment according to claim 1, characterized in that, The specific analysis process for equipment electrical parameter deviation analysis is as follows: The operating energy consumption of the lactic acid bacteria powder heating and drying equipment per unit time is collected. If the operating energy consumption is not within the preset operating energy consumption range, an operating power deviation signal is generated. If the operating energy consumption is within the preset operating energy consumption range, the electrical parameter deviation detection value is obtained by numerically calculating the energy consumption deviation value, current amplitude value, current abnormal value, voltage amplitude value, and voltage abnormal value. If the electrical parameter deviation detection value exceeds the preset electrical parameter deviation detection threshold, an operating power deviation signal is generated. If the electrical parameter deviation detection value does not exceed the preset electrical parameter deviation detection threshold, an operating power good signal is generated.

6. The safety control system for a lactic acid bacteria powder heating and drying equipment according to claim 1, characterized in that, It also includes a security prevention decision module. The security comprehensive management and control module sends the corresponding early warning information to the security prevention decision module. The security prevention decision module sets a prevention cycle of P1 days. After the number of days reaches P1, it calculates the prevention decision value by numerically calculating the alarm frequency abnormality value, temporary operation detection value and equipment protection effectiveness value. If the prevention decision value exceeds the preset prevention decision threshold, a prevention early warning signal is generated and sent to the early warning terminal.

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