A plant equipment data monitoring system and method

Abstract

This invention discloses a workshop equipment data monitoring system and method, belonging to the field of workshop equipment data monitoring technology. The system includes a reaction temperature prediction module, a workshop temperature monitoring module, a circulating water pump monitoring module, a cooling fan monitoring module, and an acid addition system monitoring module. The system first analyzes and sets a basic workshop temperature control scheme through the reaction temperature prediction module; then analyzes and sets a workshop equipment control scheme through the workshop temperature monitoring module; next, analyzes and sets a circulating water pump frequency conversion control scheme through the circulating water pump monitoring module; then analyzes and sets a cooling fan frequency conversion control scheme through the cooling fan monitoring module; and finally, analyzes and sets a cooling pump frequency conversion control scheme and an acid addition system control scheme through the acid addition system monitoring module. During the setting of each scheme, the effectiveness of monitoring workshop equipment and the stability of control are improved through the analysis and processing of relevant data.

Description

Technical Field

[0001] This invention relates to the field of workshop equipment data monitoring technology, specifically to a workshop equipment data monitoring system and method. Background Technology

[0002] In modern industrial production, the stability and efficiency of workshop equipment operation directly affect product quality and production efficiency. Drug production requires high equipment operation stability, thus necessitating a workshop equipment data monitoring system and method.

[0003] Existing technologies, such as the invention patent application CN118460362B, disclose a temperature control system for probiotic fermentation, relating to the field of temperature control technology. This invention includes a temperature monitoring module, a temperature regulation module, a prediction module, and an analog module. The temperature monitoring module monitors the temperature during probiotic fermentation. This invention, through the integrated temperature monitoring and regulation modules, achieves precise temperature control within the fermenter, thereby significantly improving the growth efficiency and metabolic activity of probiotics. The prediction module accurately predicts temperature change trends at different fermentation stages based on historical and real-time monitoring data, allowing for the advance formulation and adjustment of temperature control strategies. This intelligent temperature management method not only reduces reliance on manual monitoring but also effectively reduces energy consumption and improves production efficiency by optimizing control parameters. Model predictive control performance monitoring ensures the continuous satisfaction of control objectives.

[0004] The above scheme has the following technical problems: 1. The above scheme lacks comprehensive analysis and correlation application of the effects of feeding on temperature and reaction rate during fermentation. The depth and breadth of data utilization are relatively limited, and it may not be able to fully consider the impact of the interaction of multiple factors on temperature control and fermentation effect during fermentation.

[0005] 2. The above solutions mainly focus on the temperature regulation module to control the heating, cooling units and stirring devices to regulate the temperature of the fermenter. There is no coordinated control strategy for other auxiliary equipment. Temperature regulation cannot be achieved through the coordinated control of circulating water pumps, cooling fans and cooling pumps, which reduces the comprehensiveness and precision of the system. In terms of achieving efficient and stable operation of the entire fermentation system, the precision and comprehensiveness of equipment coordinated control are lacking.

[0006] 3. Although the model predictive control scheme described above has a rolling optimization mechanism, in practical applications, due to the involvement of multiple steps such as data acquisition, model updates, and multi-parameter calculation and analysis, the dynamic adjustment of the control strategy may not be timely enough when facing sudden temperature changes or other abnormal situations, and the response speed may be slow.

[0007] 4. The temperature control system of the above scheme mainly focuses on the temperature control of the probiotic fermentation tank. The application of frequency conversion control is limited to the stirring device in the fermentation tank. The temperature uniformity is judged by variance to control the stirring power. However, frequency conversion control is not considered from the perspective of the entire workshop equipment system. It does not involve the frequency conversion coordination control of other equipment such as circulating water pumps and cooling fans, making it difficult to optimize the efficiency and energy saving of the entire workshop equipment operation. Summary of the Invention

[0008] To address the aforementioned technical shortcomings, the present invention aims to provide a workshop equipment data monitoring system and method.

[0009] To solve the above-mentioned technical problems, the present invention adopts the following technical solution: The present invention provides a workshop equipment data monitoring system, including the following modules: a reaction temperature prediction module, used to collect reaction data in the fermentation workshop, analyze the reaction data in the fermentation workshop, and set a basic temperature control scheme for the workshop based on the analysis results.

[0010] The workshop temperature monitoring module is used to retrieve historical feeding data from the database, analyze the historical feeding data according to the basic temperature control scheme of the workshop, and set the workshop equipment control scheme.

[0011] The circulating water pump monitoring module is used to collect circulating water pump monitoring data, analyze the circulating water pump monitoring data based on the workshop equipment control scheme, and set up a circulating water pump frequency conversion control scheme.

[0012] The cooling fan monitoring module is used to collect frequency conversion control data of the circulating water pump and monitoring data of the cooling fan, analyze the frequency conversion control data of the circulating water pump and monitoring data of the cooling fan, and set up a frequency conversion control scheme for the cooling fan.

[0013] The acid addition system monitoring module is used to collect frequency conversion control data of the cooling water fan and monitoring data of the chilled water pump, analyze the frequency conversion control data of the cooling water fan and monitoring data of the chilled water pump, set the frequency conversion control scheme of the cooling pump, collect frequency conversion control data, analyze the frequency conversion control data, and set the control scheme of the acid addition system.

[0014] Preferably, the specific setting process of the variable frequency control scheme for the circulating water pump is as follows: When the temperature in the fermentation workshop is abnormal, the difference between the abnormal temperature and the standard temperature is subtracted, and then divided by the standard temperature to obtain the required temperature change rate of the fermentation workshop. The required temperature change rate of the fermentation workshop is divided by the preset duration to obtain the preset temperature change rate of the fermentation workshop. The preset opening degree of the electric valve of the circulating water pump corresponding to the preset temperature change rate of the fermentation workshop is obtained from the database. The opening degree of each electric valve of the circulating water pump is changed to the preset opening degree of the electric valve of the circulating water pump. At the same time, the effective change amount of the temperature change rate is obtained from the database, and then the effective change rate range of the preset temperature is obtained.

[0015] Collect temperature change data in the fermentation workshop to obtain the actual temperature change rate. If the actual temperature change rate in the fermentation workshop does not fall within the effective change rate range of the preset temperature, it indicates that the current temperature change is abnormal, and frequency conversion control of the circulating water pump is implemented.

[0016] The circulating water pump monitoring data includes the stator temperature, bearing temperature, and circulating water supply pressure of each circulating water pump. Substituting the stator temperature, bearing temperature, and circulating water supply pressure of each circulating water pump into the circulating water pump load index calculation formula, the load index of each circulating water pump is obtained. The average load index of each circulating water pump is calculated by averaging the load indices. The effective variables of the load index are obtained from the database to obtain the effective load index range of the circulating water pump. Circulating water pumps with load indices lower than the lower limit of the effective load index range are recorded as low-frequency circulating water pumps, and circulating water pumps with load indices higher than the upper limit of the effective load index range are recorded as high-frequency circulating water pumps.

[0017] The variable frequency control scheme for circulating water pumps is as follows: If the actual temperature change rate in the fermentation workshop falls within the preset effective temperature change rate range, variable frequency control of the circulating water pumps is not performed. The opening degree of each circulating water pump's electric valve is set to the preset electric valve opening degree. If the actual temperature change rate in the fermentation workshop exceeds the upper limit of the preset effective temperature change rate range, over-frequency control of each low-frequency circulating water pump is performed. If the actual temperature change rate in the fermentation workshop is less than the lower limit of the preset effective temperature change rate range, frequency reduction control of each low-frequency circulating water pump is performed. The specific valve opening control scheme for over-frequency control and frequency reduction control of the circulating water pumps is controlled by a PID control algorithm.

[0018] On the other hand, the present invention provides a method for monitoring workshop equipment data, including the following steps: Step 1, reaction temperature prediction: collect reaction data in the fermentation workshop, analyze the reaction data in the fermentation workshop, and set a basic temperature control scheme for the workshop based on the analysis results.

[0019] Step 2: Workshop Temperature Monitoring: Obtain historical feeding data from the database, analyze the historical feeding data according to the basic temperature control plan of the workshop, and set up a workshop equipment control plan.

[0020] Step 3: Circulating water pump monitoring: Collect circulating water pump monitoring data, analyze the circulating water pump monitoring data based on the workshop equipment control scheme, and set up a variable frequency control scheme for the circulating water pump.

[0021] Step 4: Monitoring of cooling water fan: Collect frequency conversion control data of circulating water pump and monitoring data of cooling water fan, analyze the frequency conversion control data of circulating water pump and monitoring data of cooling water fan, and set up frequency conversion control scheme for cooling water fan.

[0022] Step 5: Monitoring the acid addition system: Collect frequency conversion control data of the cooling water fan and monitoring data of the chilled water pump, analyze the frequency conversion control data of the cooling water fan and monitoring data of the chilled water pump, set up a frequency conversion control scheme for the cooling pump, collect frequency conversion control data, analyze the frequency conversion control data, and set up a control scheme for the acid addition system.

[0023] The beneficial effects of this invention are as follows: 1. The system of this invention first analyzes and sets the basic temperature control scheme of the workshop through the reaction temperature prediction module; secondly, it analyzes and sets the workshop equipment control scheme through the workshop temperature monitoring module; thirdly, it analyzes and sets the circulating water pump frequency conversion control scheme through the circulating water pump monitoring module; fourthly, it analyzes and sets the cooling water fan frequency conversion control scheme through the cooling water fan monitoring module; and finally, it analyzes and sets the cooling pump frequency conversion control scheme and the acid addition system control scheme through the acid addition system monitoring module. During the setting of each scheme, the effectiveness of monitoring the workshop equipment and the stability of control are improved through the analysis and processing of relevant data.

[0024] 2. This invention covers data monitoring and control of multiple equipment in the workshop, including fermentation workshop, circulating water pump, cooling fan, acid addition system, etc., forming a more comprehensive workshop equipment data monitoring system, which can more comprehensively manage and optimize the entire production process.

[0025] 3. Variable frequency control (VFD) allows for precise adjustment of the operating status of circulating water pumps, cooling fans, and cooling pumps based on temperature changes in the fermentation workshop. For example, in VFD control of circulating water pumps, the opening of electric valves can be adjusted according to the required temperature change rate in the fermentation workshop, making the temperature more stable and close to the preset value. This helps improve product quality stability. Employing a multi-operation, low-frequency mode maximizes energy savings. VFD control enables soft start and soft stop of equipment, reducing current surges and mechanical wear during startup and shutdown. Furthermore, VFD control of circulating water pumps, cooling fans, and cooling pumps avoids frequent, large-amplitude power changes, thereby extending equipment lifespan and reducing maintenance costs.

[0026] 3. Through real-time monitoring and feedback control, the frequency converter can adjust in a timely manner according to the actual operation of the system, which enhances the stability and reliability of the entire workshop equipment data monitoring system. Attached Figure Description

[0027] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0028] Figure 1This is a schematic diagram of the system structure connection of the present invention.

[0029] Figure 2 This is a schematic diagram of the implementation steps of the method of the present invention. Detailed Implementation

[0030] 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.

[0031] according to Figure 1 As shown, this invention provides a workshop equipment data monitoring system, including the following modules: a reaction temperature prediction module, a workshop temperature monitoring module, a circulating water pump monitoring module, a cooling water fan monitoring module, an acid addition system monitoring module, and a database.

[0032] The workshop temperature monitoring module is connected to the reaction temperature prediction module and the circulating water pump monitoring module, respectively. The cooling water fan monitoring module is connected to the circulating water pump monitoring module and the acid addition system monitoring module, respectively. The workshop temperature monitoring module, the circulating water pump monitoring module, the cooling water fan monitoring module, and the acid addition system monitoring module are all connected to the database.

[0033] The reaction temperature prediction module is used to collect reaction data in the fermentation workshop, analyze the reaction data, and set a basic temperature control scheme for the workshop based on the analysis results.

[0034] In one specific embodiment, the data collection process for the fermentation workshop reaction is as follows: The fermentation workshop reaction data includes, but is not limited to, the ratios of various products, temperature, humidity, and pressure. The mass of each product in a standard mass sample is collected using chromatography. The mass of each product in the standard mass sample is divided by the standard mass to obtain the ratios of various products. Temperature, humidity, and pressure in the fermentation workshop are collected using temperature sensors, humidity sensors, and pressure sensors, respectively.

[0035] In one specific embodiment, the analysis of the fermentation workshop reaction data is carried out as follows: the fermentation workshop reaction data includes the ratios of various products and various physical data of the fermentation workshop. The ratios of various products of the fermentation workshop are input into the reaction process index calculation formula to obtain the reaction process index of the fermentation workshop.

[0036] It should be noted that the formula for calculating the reaction process index is: Where α is the reaction progress index, H aH′ represents the proportion of product type a in the fermentation workshop, where 'a' is the product number, a = 1, 2, ..., c, c > 0, and the value of c represents the total number of product types. a ε represents the standard ratio of type a product corresponding to the reaction equilibrium constant. a ε is the weighting factor for product class a. a >0,

[0037] Standard parameter H′ a The specific values ​​were obtained through experiments and can be calculated by staff using the balance constant. For example, when a is 1, H′1 is 0.65, and the weighting factor ε... a The specific value is set by the staff. For example, when a is 1, ε1 is 0.15.

[0038] The various physical data of the fermentation workshop are vectorized to obtain the physical feature vector of the fermentation workshop. The reaction process index and physical feature vector of each fermentation reaction scenario are obtained from the database. Each fermentation reaction scenario with the same reaction process index as the fermentation workshop is recorded as a similar reaction scenario. The similarity between the physical feature vector of the fermentation workshop and the physical feature vector of each similar reaction scenario is calculated to obtain the similarity of each similar reaction scenario. Then, the similar reaction scenario with the highest similarity is recorded as the predicted reaction scenario.

[0039] In one specific embodiment, the workshop basic temperature control scheme is as follows: The production reduction rate and impurity growth rate of each temperature in the predicted reaction scenario are obtained from the database. These rates are then substituted into the temperature influence index calculation formula to obtain the temperature influence index for each temperature in the predicted reaction scenario. If the temperature influence index of a certain temperature is greater than the preset standard temperature influence index, that temperature is recorded as an inefficient temperature. This process is repeated to obtain all inefficient temperatures. If a temperature is an inefficient temperature and the number of inefficient temperatures within its influence area is greater than the preset number of inefficient temperatures, that temperature is recorded as a risk temperature. This process is repeated to obtain all risk temperatures. The minimum value among all risk temperature values ​​is recorded as the standard temperature.

[0040] It should be noted that the formula for calculating the temperature effect index is as follows:

[0041] Among them, A b To predict the temperature influence index of temperature b in the reaction scenario, where b is the temperature number and the value of b is a positive integer, B 1b and B 2bφ1 and φ2 are the yield reduction rate and impurity growth rate at each temperature in the predicted reaction scenario, respectively. B′1 and B′2 are the preset standard yield reduction rate and standard impurity growth rate, respectively. φ1 and φ2 are the preset weighting factors for yield reduction rate and impurity growth rate, respectively. φ1 > 0, φ2 > 0, φ1 + φ2 = 1.

[0042] The standard parameters B′1 and B′2 are the threshold values ​​for the yield reduction rate and impurity growth rate, respectively, for predicting the reaction scenario. When the yield reduction rate and impurity growth rate are greater than the threshold values, it indicates that the reaction effect is poor. The specific values ​​are set by the staff, for example, B′1 is 0.13 and B′2 is 0.06. The setting process of the weighting factors φ1 and φ2 is related to the required purity of the product. The higher the required purity of the product, the larger φ2 is, and the lower the required purity of the product, the larger φ1 is. The specific values ​​are set by the staff, for example, φ1 is 0.7 and φ2 is 0.3.

[0043] The basic temperature control plan for the workshop is to keep the workshop temperature below the standard temperature.

[0044] The workshop temperature monitoring module is used to retrieve historical feeding data from the database, analyze the historical feeding data according to the basic temperature control scheme of the workshop, and set the workshop equipment control scheme.

[0045] In one specific embodiment, the process of setting the workshop equipment control scheme is as follows: historical feeding data is obtained from the database, including the temperature change rate and reaction rate change rate of each raw material feeding scheme. At the same time, the controllable temperature change rate threshold of the predicted reaction scenario is obtained from the database. If the temperature change rate of a certain raw material feeding scheme is less than or equal to the controllable temperature change rate threshold of the predicted reaction scenario, it indicates that the raw material feeding scheme is a usable feeding scheme for the predicted reaction scenario. In this way, each usable feeding scheme for the predicted reaction scenario is obtained, and the usable feeding scheme with the largest reaction rate change rate is recorded as the feeding scheme used in the predicted reaction scenario.

[0046] The current temperature of the fermentation workshop is obtained from various physical data in the fermentation workshop. The current temperature of the fermentation workshop is multiplied by the temperature change rate corresponding to the dosage plan of the predicted reaction scenario to obtain the temperature change of the fermentation workshop. The current temperature of the fermentation workshop is added to the temperature change of the fermentation workshop to obtain the preset temperature of the fermentation workshop.

[0047] The workshop equipment control scheme is as follows: obtain the power of the dosing pumps corresponding to various drugs and the liquid level at each future time point from the usage dosing plan, and dosing various dosing pumps according to their corresponding power. At the same time, the liquid level is monitored. If the liquid level is not equal to the liquid level at the corresponding future time point, the power of the dosing pump is controlled. If the preset temperature of the fermentation workshop is higher than the standard temperature, the temperature is monitored. When the temperature is abnormal, the temperature of the circulating water pump is controlled.

[0048] The circulating water pump monitoring module is used to collect circulating water pump monitoring data, analyze the circulating water pump monitoring data based on the workshop equipment control scheme, and set up a circulating water pump frequency conversion control scheme.

[0049] In one specific embodiment, the collection of circulating water pump monitoring data includes the stator temperature, bearing temperature, and circulating water supply pressure of each circulating water pump. The stator temperature and bearing temperature of each circulating water pump are collected through temperature sensors, and the circulating water supply pressure of each circulating water pump is collected through pressure sensors.

[0050] In one specific embodiment, the setting process of the variable frequency control scheme for the circulating water pump is as follows: When the temperature in the fermentation workshop is abnormal, the difference between the abnormal temperature and the standard temperature is subtracted, and then divided by the standard temperature to obtain the required temperature change rate of the fermentation workshop. The required temperature change rate of the fermentation workshop is divided by a preset duration to obtain the preset temperature change rate of the fermentation workshop. The preset opening degree of the electric valve of the circulating water pump corresponding to the preset temperature change rate of the fermentation workshop is obtained from the database. The opening degree of each electric valve of the circulating water pump is changed to the preset opening degree of the electric valve of the circulating water pump. At the same time, the effective change amount of the temperature change rate is obtained from the database, thereby obtaining the effective change rate range of the preset temperature.

[0051] Collect temperature change data in the fermentation workshop to obtain the actual temperature change rate. If the actual temperature change rate in the fermentation workshop does not fall within the effective change rate range of the preset temperature, it indicates that the current temperature change is abnormal, and frequency conversion control of the circulating water pump is implemented.

[0052] Substituting the stator temperature, bearing temperature, and circulating water supply pressure of each circulating water pump into the formula for calculating the circulating water pump load index, the load index of each circulating water pump is obtained. The average load index of each circulating water pump is calculated by averaging the load indices. The effective variables of the load index are obtained from the database to obtain the effective load index range of the circulating water pump. Circulating water pumps with load indices lower than the lower limit of the effective load index range are categorized as low-frequency circulating water pumps, and circulating water pumps with load indices higher than the upper limit of the effective load index range are categorized as high-frequency circulating water pumps.

[0053] It should be noted that the formula for calculating the circulating water pump load index is as follows:

[0054] Where, β 1d Let d be the load index of the circulating water pump, where d is the number of each circulating water pump, d is a positive integer, e is the natural constant, and F is the load index of the circulating water pump. 1d F 2d and F 3d F'1, F'2, and F'3 represent the stator temperature, bearing temperature, and circulating water supply pressure of the d circulating water pump, respectively, and the preset standard stator temperature, standard bearing temperature, and standard circulating water supply pressure, respectively. and These are the preset stator temperature weighting factor, bearing temperature weighting factor, and circulating water supply pressure weighting factor, respectively.

[0055] The setting process for standard parameters F′1, F′2, and F′3 is the same as that for standard parameter B′1; all are set by the operator. For example, F′1 is set to 1.3, F′2 to 0.9, and F′3 to 0.86, with weighting factors... and The setup process is the same as the setup process for the weight factor φ1, both of which are set by staff. For example... 0.3 For 0.3 and It is 0.4.

[0056] The variable frequency control scheme for circulating water pumps is as follows: If the actual temperature change rate in the fermentation workshop falls within the preset effective temperature change rate range, variable frequency control of the circulating water pumps is not performed. The opening degree of each circulating water pump's electric valve is set to the preset electric valve opening degree. If the actual temperature change rate in the fermentation workshop exceeds the upper limit of the preset effective temperature change rate range, over-frequency control of each low-frequency circulating water pump is performed. If the actual temperature change rate in the fermentation workshop is less than the lower limit of the preset effective temperature change rate range, frequency reduction control of each low-frequency circulating water pump is performed. The specific valve opening control scheme for over-frequency control and frequency reduction control of the circulating water pumps is controlled by a PID control algorithm.

[0057] It should be noted that the PID control algorithm adjusts the control quantity based on the magnitude of the data deviation, the rate of change, and the integral value of the deviation. This can effectively reduce temperature fluctuations and enable the system to quickly stabilize near the preset constant temperature value. This is existing technology and can be found on the Internet, so it will not be elaborated further.

[0058] The cooling fan monitoring module is used to collect frequency conversion control data of the circulating water pump and monitoring data of the cooling fan, analyze the frequency conversion control data of the circulating water pump and monitoring data of the cooling fan, and set up a frequency conversion control scheme for the cooling fan.

[0059] In one specific embodiment, the acquisition process for the variable frequency control data of the circulating water pump and the monitoring data of the cooling fan is as follows: The variable frequency control data of the circulating water pump includes various outlet data of the circulating water system, including but not limited to the supply water temperature of the main circulating water pipe, the return water temperature of the main circulating water pipe, the liquid level displacement of the circulating water tank, and the outlet pressure of each circulating pump. The supply water temperature and the return water temperature of the main circulating water pipe are acquired through temperature sensors. Images of the water tank are acquired through image acquisition technology. The liquid level displacement of the circulating water tank is obtained through image recognition technology. The outlet pressure of each circulating pump is acquired through pressure sensors.

[0060] The monitoring data for the cooling fan includes the air flow, air temperature, and air pressure of each air compressor unit of the cooling fan. The air flow of each air compressor unit of the cooling fan is collected through a flow sensor, the air temperature of each air compressor unit of the cooling fan is collected through a temperature sensor, and the air pressure of each air compressor unit of the cooling fan is collected through a pressure sensor.

[0061] In one specific embodiment, the setting of the variable frequency control scheme for the cooling water fan is specifically configured as follows: The variable frequency control data for the circulating water pump consists of various outlet data of the circulating water system. The various outlet data of the circulating water system are vectorized to obtain the feature vector of the circulating water system outlet. The feature vector of the circulating water system simulation system outlet of each circulating water system usage index is obtained from the database. The similarity between the feature vector of the circulating water system simulation system outlet of each circulating water system usage index and the feature vector of the circulating water system outlet is calculated to obtain the similarity of the circulating water system simulation system of each circulating water system usage index. The circulating water system usage index of the circulating water system simulation system with the highest similarity is recorded as the current circulating water system usage index. If the current circulating water system usage index does not belong to the valid range of the circulating water system usage index, variable frequency control of the cooling water fan is performed.

[0062] Substituting the airflow, air temperature, and air pressure of each air compressor unit of the cooling fan into the air compressor unit load index calculation formula, the load index of each air compressor unit of the cooling fan is obtained. The average load index of each air compressor unit of the cooling fan is calculated by averaging the load indices of each air compressor unit, and the effective load index range of the air compressor unit is obtained by retrieving the effective load index variables from the database. Each air compressor unit whose load index is lower than the lower limit of the effective load index range is recorded as a low-frequency air compressor unit, and each air compressor unit whose load index is higher than the upper limit of the effective load index range is recorded as a high-frequency air compressor unit.

[0063] It should be noted that the formula for calculating the air compressor unit load index is:

[0064] Where, β 2rLet r be the load index of the air compressor unit, where r is the number of each air compressor unit, and r is a positive integer. 1r G 2r and G 3r Let G′1, G′2, and G′2 be the air flow rate, air temperature, and air pressure of the air compressor unit, respectively. Let G′1, G′2, and G′2 be the preset standard air flow rate, standard air temperature, and standard air pressure, respectively. Let δ1, δ2, and δ3 be the preset air flow rate weighting factor, air temperature weighting factor, and air pressure weighting factor, respectively. Let δ1 > 0, δ2 > 0, δ3 > 0, and δ1 + δ2 + δ3 = 1.

[0065] The setting process for standard parameters G′1, G′2, and G′3 is the same as that for standard parameter B′1, and both are set by the staff. For example, G′1 is 1.2, G′2 is 1.9, and G′3 is 1.8. The setting process for weight factors δ1, δ2, and δ3 is the same as that for weight factor φ1, and both are set by the staff. For example, δ1 is 0.4, δ2 is 0.2, and δ3 is 0.4.

[0066] The power of the cooling fan corresponding to the usage index of each circulating water system is obtained from the database, and then the power of the cooling fan corresponding to the current circulating water system is obtained.

[0067] The frequency conversion control scheme for the cooling water fans is as follows: If the current usage index of the circulating water system is within the effective range of the circulating water system usage index, no frequency conversion control of the cooling water fans is performed, and the power of the cooling water fans corresponding to the current circulating water system is used for cooling. If the current usage index of the circulating water system is greater than the upper limit of the effective range of the circulating water system usage index, overclocking control of each low-frequency cooling water fan is performed. If the current usage index of the circulating water system is less than the lower limit of the effective range of the circulating water system usage index, frequency reduction control of each high-frequency cooling water fan is performed. The specific power control scheme for the overclocking control and frequency reduction control of the cooling water fans is controlled by the PID control algorithm.

[0068] The acid addition system monitoring module is used to collect frequency conversion control data of the cooling water fan and monitoring data of the chilled water pump, analyze the frequency conversion control data of the cooling water fan and monitoring data of the chilled water pump, set the frequency conversion control scheme of the cooling pump, collect frequency conversion control data, analyze the frequency conversion control data, and set the control scheme of the acid addition system.

[0069] In one specific embodiment, the acquisition process for the frequency converter control data of the chilled water fan and the monitoring data of the chilled water pump is as follows: The frequency converter control data of the chilled water fan includes, but is not limited to, the outlet flow rate of each unit, the outlet pressure of each unit, the outlet temperature of each unit, the air main pressure, the air main temperature, the air main flow rate, and the power consumption of the air compressor system. The outlet temperature of each unit and the air main temperature are acquired through temperature sensors, the outlet pressure of each unit and the air main pressure are acquired through pressure sensors, the outlet flow rate of each unit and the air main flow rate are acquired through flow sensors, and the power consumption of the air compressor system is acquired through current sensors.

[0070] The monitoring data for the chilled water pumps includes the refrigerant flow rate, pump outlet pressure, and water tank level displacement of each chilled water pump. The refrigerant flow rate of each chilled water pump is collected by a flow sensor, the pump outlet pressure of each chilled water pump is collected by a pressure sensor, and the water tank level displacement of each chilled water pump is obtained by image acquisition and image recognition technologies.

[0071] In one specific embodiment, the cooling pump control scheme is set up as follows: the frequency conversion control data of the cooling fan is vectorized to obtain the feature vector of the cooling fan outlet; the feature vector of the cooling fan simulation system outlet of each cooling fan usage index is obtained from the database; the similarity between the feature vector of the cooling fan simulation system outlet of each cooling fan usage index and the feature vector of the cooling fan outlet is calculated to obtain the similarity of the cooling fan simulation system of each cooling fan usage index; the cooling fan usage index of the cooling fan simulation system with the highest similarity is recorded as the current cooling fan usage index; the effective range of the cooling fan usage index is obtained from the database; if the current cooling fan usage index does not belong to the effective range of the cooling fan usage index, frequency conversion control of the cooling fan is performed.

[0072] Substituting the chilled water flow rate, pump outlet pressure, and water tank level displacement of each chilled water pump into the chilled water pump load index calculation formula, the load index of each chilled water pump is obtained. The average load index of each chilled water pump is calculated by averaging the load indices of each chilled water pump. The effective variables of the load index are obtained from the database to obtain the effective load index range of the chilled water pump. Each chilled water pump whose load index is lower than the lower limit of the effective load index range is recorded as a low-frequency chilled water pump, and each chilled water pump whose load index is higher than the upper limit of the effective load index range is recorded as a high-frequency chilled water pump.

[0073] It should be noted that the formula for calculating the load index of a chilled water pump is as follows:

[0074] Where, β 3s Let s be the chilled water pump load index, where s is the number of each chilled water pump, and the value of s is a positive integer. 1s D 2s and D3s Let denot s be the chilled water flow rate, pump outlet pressure, and water tank level displacement of the chilled water pump, respectively. Let D′1, D′2, and D′3 be the preset standard chilled water flow rate, standard pump outlet pressure, and standard water tank level displacement, respectively. Let η1, η2, and η3 be the preset chilled water flow rate weighting factor, pump outlet pressure weighting factor, and water tank level displacement weighting factor, respectively. Let η1 > 0, η2 > 0, η3 > 0, and η1 + η2 + η3 = 1.

[0075] The setting process for standard parameters D′1, D′2, and D′3 is the same as that for standard parameter B′1, and both are set by staff. For example, D′1 is 1.1, D′2 is 1.5, and D′3 is 1.3. The setting process for weight factors η1, η2, and η3 is the same as that for weight factor φ1, and both are set by staff. For example, η1 is 0.4, η2 is 0.3, and η3 is 0.3.

[0076] The cooling pump control scheme is as follows: if the current air compressor system usage index is within the effective range of the air compressor system usage index, the electric valves of each chilled water pump are set to the corresponding opening degree; if the current air compressor system usage index is greater than the upper limit of the effective range of the air compressor system usage index, each high-frequency chilled water pump is frequency-reduced; if the current air compressor system usage index is less than the upper limit of the effective range of the air compressor system usage index, each low-frequency chilled water pump is frequency-overclocked. The specific opening degree control scheme for the frequency overclocking control and frequency reduction control of the chilled water pumps is controlled by the PID control algorithm.

[0077] The opening degree of the electric valve of the chilled water pump corresponding to the usage index of each chilled water fan is obtained from the database, and then the current opening degree of the electric valve of the chilled water pump is obtained.

[0078] The cooling pump control scheme is as follows: if the current air compressor system usage index is within the effective range of the air compressor system usage index, the electric valves of each chilled water pump are set to the corresponding opening degree; if the current air compressor system usage index is greater than the upper limit of the effective range of the air compressor system usage index, each high-frequency chilled water pump is frequency-reduced; if the current air compressor system usage index is less than the upper limit of the effective range of the air compressor system usage index, each low-frequency chilled water pump is frequency-overclocked. The specific opening degree control scheme for the frequency overclocking control and frequency reduction control of the chilled water pumps is controlled by the PID control algorithm.

[0079] In one specific embodiment, the acquisition process of the frequency converter control data is as follows: The frequency converter control data includes the frequency converter control rate of the circulating water pump, the frequency converter control change rate of the circulating water pump, the frequency converter control rate of the cooling water fan, the frequency converter control change rate of the cooling water fan, the frequency converter control rate of the cooling pump, and the frequency converter control change rate of the cooling pump. A counter is used to collect the number of times the circulating water pump, the cooling water fan, and the cooling pump are controlled at frequency within a preset time period. The number of times each of these frequency converters is controlled within the preset time period is then divided by the preset time period. The variable frequency control rates of the circulating water pump, the cooling water fan, and the cooling pump are obtained. The maximum and minimum variable frequency control rates of the circulating water pump, the cooling water fan, and the cooling pump within the current production cycle are retrieved from the database. The difference between the maximum and minimum control rates is subtracted from the maximum control rate, and then divided by the difference between the maximum and minimum control rates to obtain the control change rate. This yields the variable frequency control change rates of the circulating water pump, the cooling water fan, and the cooling pump.

[0080] In one specific embodiment, the setting of the acid addition system control scheme is specifically configured as follows: The frequency conversion control data includes the frequency conversion control rate of the circulating water pump, the frequency conversion control change rate of the circulating water pump, the frequency conversion control rate of the cooling water fan, the frequency conversion control change rate of the cooling water fan, the frequency conversion control rate of the cooling pump, and the frequency conversion control change rate of the cooling pump. These values ​​are substituted into the monitoring stability index calculation formula to obtain the current monitoring stability index of the cooling system. The monitoring stability index range for each acid pump valve opening is obtained from the database. If the current monitoring stability index of the cooling system belongs to the monitoring stability index range for a certain acid pump valve opening, that acid pump valve opening is set as the stable acid pump valve opening of the current cooling system.

[0081] It should be noted that the formula for calculating the monitoring stability index is as follows:

[0082] Wherein, γ is the monitoring stability index, U1, U2, V1, V2, W1 and W2 are the variable frequency control rate of circulating water pump, variable frequency control change rate of circulating water pump, variable frequency control rate of cooling water fan, variable frequency control change rate of cooling water fan, variable frequency control rate of cooling pump, and variable frequency control change rate of cooling pump, respectively, U′1, U′2, V′1, V′2, W′1 and W′2 are the preset standard variable frequency control rate of circulating water pump, standard variable frequency control change rate of circulating water pump, standard variable frequency control rate of cooling water fan, standard variable frequency control change rate of cooling water fan, standard variable frequency control rate of cooling pump, and standard variable frequency control change rate of cooling pump, respectively, λ1, λ2 and λ3 are the preset variable frequency weight factors of circulating water pump, variable frequency weight factor of cooling water fan, and variable frequency weight factor of cooling pump, respectively, λ1>0, λ2>0, λ3>0, λ1+λ2+λ3=1.

[0083] The setting process for standard parameters U′1, U′2, V′1, V′2, W′1, and W′2 is the same as that for standard parameter B′1, and is set by the staff. For example, U′1 is 0.96, U′2 is 0.13, V′1 is 1.35, V′2 is 1.2, W′1 is 1.2, and W′2 is 1.1. The setting process for weight factors λ1, λ2, and λ3 is the same as that for weight factor φ1, and is set by the staff. For example, λ1 is 0.35, λ2 is 0.35, and λ3 is 0.3.

[0084] The preset acid pump valve opening corresponding to the predicted reaction scenario is obtained from the database. The acid addition system control scheme is as follows: if the preset acid pump valve opening is less than the stable acid pump valve opening, the acid addition system uses the preset acid pump valve opening; if the preset acid pump valve opening is greater than the stable acid pump valve opening, the acid addition system uses the stable acid pump valve opening.

[0085] The database stores the reaction progress index for each fermentation reaction scenario, the physical feature vector of the reaction progress index for each fermentation reaction scenario, the predicted yield reduction rate at each temperature in the reaction scenario, the predicted impurity growth rate at each temperature in the reaction scenario, historical feeding data, the controllable temperature change rate threshold for the predicted reaction scenario, the preset opening degree of the electric valve of the circulating water pump corresponding to the preset temperature change rate in the fermentation workshop, the effective change amount of the temperature change rate, the effective variables of the load index, the feature vector of the outlet of the circulating water system simulation system for each circulating water system usage index, the cooling fan power corresponding to the usage index of each circulating water system, the monitoring stability index range of the opening degree of each acid pump valve, and the preset opening degree of the acid pump valve corresponding to the predicted reaction scenario.

[0086] according to Figure 2 As shown, the present invention provides a method for monitoring workshop equipment data, including the following steps: Step 1, reaction temperature prediction: collect reaction data in the fermentation workshop, analyze the reaction data in the fermentation workshop, and set a basic temperature control scheme for the workshop based on the analysis results.

[0087] Step 2: Workshop Temperature Monitoring: Obtain historical feeding data from the database, analyze the historical feeding data according to the basic temperature control plan of the workshop, and set up a workshop equipment control plan.

[0088] Step 3: Circulating water pump monitoring: Collect circulating water pump monitoring data, analyze the circulating water pump monitoring data based on the workshop equipment control scheme, and set up a variable frequency control scheme for the circulating water pump.

[0089] Step 4: Monitoring of cooling water fan: Collect frequency conversion control data of circulating water pump and monitoring data of cooling water fan, analyze the frequency conversion control data of circulating water pump and monitoring data of cooling water fan, and set up frequency conversion control scheme for cooling water fan.

[0090] Step 5: Monitoring the acid addition system: Collect frequency conversion control data of the cooling water fan and monitoring data of the chilled water pump, analyze the frequency conversion control data of the cooling water fan and monitoring data of the chilled water pump, set up a frequency conversion control scheme for the cooling pump, collect frequency conversion control data, analyze the frequency conversion control data, and set up a control scheme for the acid addition system.

[0091] The above description is merely an example and illustration of the concept of the present invention. Those skilled in the art can make various modifications or additions to the specific embodiments described or use similar methods to replace them, as long as they do not deviate from the concept of the invention or exceed the scope defined in this specification, they should all fall within the protection scope of the present invention.

Claims

1. A workshop equipment data monitoring system, characterized in that, Includes the following modules: The reaction temperature prediction module is used to collect reaction data in the fermentation workshop, analyze the reaction data, and set a basic temperature control scheme for the workshop based on the analysis results. The workshop temperature monitoring module is used to retrieve historical feeding data from the database, analyze the historical feeding data according to the basic temperature control scheme of the workshop, and set the workshop equipment control scheme. The circulating water pump monitoring module is used to collect circulating water pump monitoring data, analyze the circulating water pump monitoring data based on the workshop equipment control scheme, and set up a circulating water pump frequency conversion control scheme. The cooling fan monitoring module is used to collect frequency conversion control data of circulating water pump and monitoring data of cooling fan, analyze the frequency conversion control data of circulating water pump and monitoring data of cooling fan, and set frequency conversion control scheme for cooling fan. The acid addition system monitoring module is used to collect frequency conversion control data of the cooling water fan and monitoring data of the chilled water pump, analyze the frequency conversion control data of the cooling water fan and monitoring data of the chilled water pump, set the frequency conversion control scheme of the cooling pump, collect frequency conversion control data, analyze the frequency conversion control data, and set the control scheme of the acid addition system.

2. The workshop equipment data monitoring system according to claim 1, characterized in that, The analysis of the reaction data from the fermentation workshop was carried out in the following specific process: The reaction data in the fermentation workshop includes the ratios of various products and various physical data. By inputting the ratios of various products in the fermentation workshop into the reaction process index calculation formula, the reaction process index of the fermentation workshop is obtained. The various physical data of the fermentation workshop are vectorized to obtain the physical feature vector of the fermentation workshop. The reaction process index and physical feature vector of each fermentation reaction scenario are obtained from the database. Each fermentation reaction scenario with the same reaction process index as the fermentation workshop is recorded as a similar reaction scenario. The similarity between the physical feature vector of the fermentation workshop and the physical feature vector of each similar reaction scenario is calculated to obtain the similarity of each similar reaction scenario. Then, the similar reaction scenario with the highest similarity is recorded as the predicted reaction scenario.

3. The workshop equipment data monitoring system according to claim 2, characterized in that, The aforementioned workshop basic temperature control scheme: The yield reduction rate and impurity growth rate of each temperature in the predicted reaction scenario are obtained from the database. The yield reduction rate and impurity growth rate of each temperature in the predicted reaction scenario are substituted into the temperature influence index calculation formula to obtain the temperature influence index of each temperature in the predicted reaction scenario. If the temperature influence index of a certain temperature is greater than the preset standard temperature influence index, the temperature is recorded as an inefficient temperature. In this way, each inefficient temperature is obtained. If a certain temperature is an inefficient temperature and the number of inefficient temperatures in the temperature influence area is greater than the preset number of inefficient temperatures, the temperature is recorded as a risk temperature. In this way, each risk temperature is obtained. The minimum value among the risk temperature values ​​is recorded as the standard temperature. The basic temperature control plan for the workshop is to keep the workshop temperature below the standard temperature.

4. The workshop equipment data monitoring system according to claim 3, characterized in that, The specific setup process for the workshop equipment control scheme is as follows: Historical feeding data is obtained from the database, including the temperature change rate and reaction rate change rate of each raw material feeding scheme. At the same time, the controllable temperature change rate threshold of the predicted reaction scenario is obtained from the database. If the temperature change rate of a certain raw material feeding scheme is less than or equal to the controllable temperature change rate threshold of the predicted reaction scenario, it indicates that the raw material feeding scheme is a usable feeding scheme for the predicted reaction scenario. In this way, each usable feeding scheme for the predicted reaction scenario is obtained, and the usable feeding scheme with the largest reaction rate change rate is recorded as the feeding scheme used in the predicted reaction scenario. The current temperature of the fermentation workshop is obtained from various physical data in the fermentation workshop. The current temperature of the fermentation workshop is multiplied by the temperature change rate corresponding to the dosage plan of the predicted reaction scenario to obtain the temperature change of the fermentation workshop. The current temperature of the fermentation workshop is added to the temperature change of the fermentation workshop to obtain the preset temperature of the fermentation workshop. The workshop equipment control scheme is as follows: obtain the power of the dosing pumps corresponding to various drugs and the liquid level at each future time point from the usage dosing plan, and dosing various dosing pumps according to their corresponding power. At the same time, the liquid level is monitored. If the liquid level is not equal to the liquid level at the corresponding future time point, the power of the dosing pump is controlled. If the preset temperature of the fermentation workshop is higher than the standard temperature, the temperature is monitored. When the temperature is abnormal, the temperature of the circulating water pump is controlled.

5. A workshop equipment data monitoring system according to claim 4, characterized in that, The specific setup process for the variable frequency control scheme for the circulating water pump is as follows: When the temperature in the fermentation workshop is abnormal, the difference between the abnormal temperature and the standard temperature is subtracted, and then divided by the standard temperature to obtain the required temperature change rate of the fermentation workshop. The required temperature change rate of the fermentation workshop is divided by the preset duration to obtain the preset temperature change rate of the fermentation workshop. The preset opening degree of the circulating water pump electric valve corresponding to the preset temperature change rate of the fermentation workshop is obtained from the database, and the opening degree of each circulating water pump electric valve is changed to the preset circulating water pump electric valve opening degree. At the same time, the effective change amount of the temperature change rate is obtained from the database, and then the effective change rate range of the preset temperature is obtained. Collect temperature change data in the fermentation workshop to obtain the actual temperature change rate of the fermentation workshop. If the actual temperature change rate of the fermentation workshop does not fall within the effective change rate range of the preset temperature, it indicates that the current temperature change is abnormal, and the frequency conversion control of the circulating water pump is implemented. The circulating water pump monitoring data includes the stator temperature, bearing temperature, and circulating water supply pressure of each circulating water pump. The stator temperature, bearing temperature, and circulating water supply pressure of each circulating water pump are substituted into the circulating water pump load index calculation formula to obtain the load index of each circulating water pump. The average load index of each circulating water pump is calculated by averaging the load indices of each circulating water pump. The effective variables of the load index are obtained from the database to obtain the effective load index range of the circulating water pump. Circulating water pumps with load indices lower than the lower limit of the effective load index range are recorded as low-frequency circulating water pumps, and circulating water pumps with load indices higher than the upper limit of the effective load index range are recorded as high-frequency circulating water pumps. The variable frequency control scheme for circulating water pumps is as follows: If the actual temperature change rate in the fermentation workshop falls within the preset effective temperature change rate range, variable frequency control of the circulating water pumps is not performed. The opening degree of each circulating water pump's electric valve is set to the preset electric valve opening degree. If the actual temperature change rate in the fermentation workshop exceeds the upper limit of the preset effective temperature change rate range, over-frequency control of each low-frequency circulating water pump is performed. If the actual temperature change rate in the fermentation workshop is less than the lower limit of the preset effective temperature change rate range, frequency reduction control of each low-frequency circulating water pump is performed. The specific valve opening control scheme for over-frequency control and frequency reduction control of the circulating water pumps is controlled by a PID control algorithm.

6. The workshop equipment data monitoring system according to claim 5, characterized in that, The specific setup process for the variable frequency control scheme for the cooling water fan is as follows: The variable frequency control data for the circulating water pump consists of various outlet data of the circulating water system. The various outlet data of the circulating water system are vectorized to obtain the feature vector of the circulating water system outlet. The feature vector of the circulating water system simulation system outlet of each circulating water system usage index is obtained from the database. The similarity between the feature vector of the circulating water system simulation system outlet of each circulating water system usage index and the feature vector of the circulating water system outlet is calculated to obtain the similarity of the circulating water system simulation system of each circulating water system usage index. The circulating water system usage index of the circulating water system simulation system with the highest similarity is recorded as the current circulating water system usage index. If the current circulating water system usage index does not belong to the effective range of the circulating water system usage index, variable frequency control of the cooling water fan is performed. The monitoring data of the cooling fan includes the air flow, air temperature and air pressure of each air compressor unit of the cooling fan. Based on the analysis process of the stator temperature, bearing temperature and circulating water supply pressure of each circulating water pump, the air flow, air temperature and air pressure of each air compressor unit of the cooling fan are analyzed to obtain the high frequency air compressor unit and the low frequency air compressor unit. The power of the cooling fan corresponding to the usage index of each circulating water system is obtained from the database, and then the power of the cooling fan corresponding to the current circulating water system is obtained. The frequency conversion control scheme for the cooling water fans is as follows: If the current usage index of the circulating water system is within the effective range of the circulating water system usage index, no frequency conversion control of the cooling water fans is performed, and the power of the cooling water fans corresponding to the current circulating water system is used for cooling. If the current usage index of the circulating water system is greater than the upper limit of the effective range of the circulating water system usage index, overclocking control of each low-frequency cooling water fan is performed. If the current usage index of the circulating water system is less than the lower limit of the effective range of the circulating water system usage index, frequency reduction control of each high-frequency cooling water fan is performed. The specific power control scheme for the overclocking control and frequency reduction control of the cooling water fans is controlled by the PID control algorithm.

7. A workshop equipment data monitoring system according to claim 6, characterized in that, The specific setup process for the cooling pump control scheme is as follows: By analyzing the variable frequency control data of the circulating water pump, the variable frequency control data of the cooling water fan is analyzed to obtain the opening degree of each cooling water pump electric valve and the effective range of the air compressor system usage index corresponding to the current air compressor system usage index. Based on the analysis process of the monitoring data of the chilled water fan, the monitoring data of the chilled water pump was analyzed to obtain the high-frequency chilled water pump and the low-frequency chilled water pump. The cooling pump control scheme is as follows: if the current air compressor system usage index is within the effective range of the air compressor system usage index, the electric valves of each chilled water pump are set to the corresponding opening degree; if the current air compressor system usage index is greater than the upper limit of the effective range of the air compressor system usage index, each high-frequency chilled water pump is frequency-reduced; if the current air compressor system usage index is less than the upper limit of the effective range of the air compressor system usage index, each low-frequency chilled water pump is frequency-overclocked. The specific opening degree control scheme for the frequency overclocking control and frequency reduction control of the chilled water pumps is controlled by the PID control algorithm.

8. A workshop equipment data monitoring system according to claim 7, characterized in that, The specific setup process for the acid addition system control scheme is as follows: The frequency conversion control data includes the frequency conversion control rate of the circulating water pump, the frequency conversion control change rate of the circulating water pump, the frequency conversion control rate of the cooling fan, the frequency conversion control change rate of the cooling fan, the frequency conversion control rate of the cooling pump, and the frequency conversion control change rate of the cooling pump. Substituting these values ​​into the monitoring stability index calculation formula yields the current monitoring stability index of the cooling system. The monitoring stability index ranges for the opening degrees of each acid pump valve are obtained from the database. If the current monitoring stability index of the cooling system belongs to the monitoring stability index range of a certain acid pump valve opening degree, that acid pump valve opening degree is set as the stable acid pump valve opening degree of the current cooling system. The preset acid pump valve opening corresponding to the predicted reaction scenario is obtained from the database. The acid addition system control scheme is as follows: if the preset acid pump valve opening is less than the stable acid pump valve opening, the acid addition system uses the preset acid pump valve opening; if the preset acid pump valve opening is greater than the stable acid pump valve opening, the acid addition system uses the stable acid pump valve opening.

9. A workshop equipment data monitoring system according to claim 1, characterized in that, It also includes a database for storing reaction process indices for each fermentation reaction scenario, physical feature vectors of reaction process indices for each fermentation reaction scenario, predicted yield reduction rates at each temperature in the reaction scenario, predicted impurity growth rates at each temperature in the reaction scenario, historical feeding data, controllable temperature change rate thresholds for the reaction scenario, preset circulating water pump electric valve openings corresponding to preset temperature change rates in the fermentation workshop, effective change in temperature change rates, effective variables of load indices, feature vectors of the circulating water system simulation system outlets for each circulating water system usage index, cooling fan power corresponding to each circulating water system usage index, monitoring stability index ranges for each acid pump valve opening, and preset acid pump valve openings corresponding to the predicted reaction scenario.

10. A data monitoring method using the workshop equipment data monitoring system according to any one of claims 1-9, characterized in that, Includes the following steps: Step 1: Reaction Temperature Prediction: Collect reaction data from the fermentation workshop, analyze the reaction data, and set up a basic temperature control plan for the workshop based on the analysis results; Step 2: Workshop Temperature Monitoring: Obtain historical feeding data from the database, analyze the historical feeding data according to the basic workshop temperature control plan, and set up a workshop equipment control plan. Step 3: Circulating water pump monitoring: Collect circulating water pump monitoring data, analyze the circulating water pump monitoring data based on the workshop equipment control scheme, and set up a circulating water pump frequency conversion control scheme. Step 4: Monitoring of cooling water fan: Collect frequency conversion control data of circulating water pump and monitoring data of cooling water fan, analyze the frequency conversion control data of circulating water pump and monitoring data of cooling water fan, and set up frequency conversion control scheme for cooling water fan. Step 5: Monitoring the acid addition system: Collect frequency conversion control data of the cooling water fan and monitoring data of the chilled water pump, analyze the frequency conversion control data of the cooling water fan and monitoring data of the chilled water pump, set up a frequency conversion control scheme for the cooling pump, collect frequency conversion control data, analyze the frequency conversion control data, and set up a control scheme for the acid addition system.

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