Workshop equipment data monitoring system and method

Abstract

The invention discloses a workshop equipment data monitoring system and method, and relates to the technical field of workshop equipment data monitoring, and the system comprises a reaction temperature prediction module, a workshop temperature monitoring module, a circulating water pump monitoring module, a cold water fan monitoring module and an acid adding system monitoring module. According to the system, firstly, a workshop basic temperature control scheme is analyzed and set through a reaction temperature prediction module; secondly, a workshop equipment control scheme is analyzed and set through a workshop temperature monitoring module; secondly, a circulating water pump frequency conversion control scheme is analyzed and set through a circulating water pump monitoring module; then, a cold water fan frequency conversion control scheme is analyzed and set through a cold water fan monitoring module; and finally, a cooling pump frequency conversion control scheme and an acid adding system control scheme are analyzed and set through an acid adding system monitoring module. In the setting process of each scheme, related data are analyzed and processed, so that the monitoring effectiveness and the control stability of the workshop equipment are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of workshop equipment data monitoring, and in particular to a workshop equipment data monitoring system and method. Background Art

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

[0003] Existing technologies such as the invention patent application with announcement number CN118460362B disclose a temperature control system applied to probiotic fermentation, which relates to the field of temperature control technology. The present invention includes a temperature monitoring module, a temperature regulation module, a prediction module and an analogy module; the temperature monitoring module is used to monitor the temperature during probiotic fermentation; the present invention, through an integrated temperature monitoring and regulation module, realizes precise control of the temperature in the fermentation tank, thereby significantly improving the growth efficiency and metabolic activity of probiotics. The prediction module adopted can accurately predict the temperature change trend of different fermentation stages based on historical data and real-time monitoring data, and formulate and adjust the temperature control strategy in advance. This intelligent temperature management method not only reduces the dependence on manual monitoring, but also effectively reduces energy consumption and improves production efficiency by optimizing control parameters; through model predictive control performance monitoring, it ensures the continuous satisfaction of control objectives.

[0004] Regarding the above scheme, there are the following technical problems: 1. The above scheme lacks comprehensive analysis and related application of the impact of adding materials on temperature and reaction rate during the fermentation process. The depth and breadth of comprehensive data utilization are relatively limited, and it may not be possible to fully consider the impact of multiple factors interacting during the fermentation process on temperature control and fermentation effect.

[0005] 2. The above solution mainly focuses on the temperature control module's control of the heating, cooling units and stirring devices to adjust the fermentation tank temperature. There is no coordinated control strategy for other auxiliary equipment. It is impossible to control the temperature through the coordinated control of the circulating water pump, cooling fan and cooling pump, 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 the equipment coordinated control are lacking.

[0006] 3. Although the model predictive control of the above scheme has a rolling optimization mechanism, in actual application, due to the involvement of multiple steps such as data collection, model update, 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 solution mainly focuses on the temperature control of the probiotic fermentation tank. The application of variable frequency control is limited to the stirring device in the fermentation tank. The temperature uniformity is judged by variance to control the stirring power. However, variable frequency control is not considered from the perspective of the entire workshop equipment system. The variable frequency coordinated control of other equipment such as circulating water pumps and cooling water fans is not involved. It is difficult to optimize the efficiency and energy saving of the entire workshop equipment operation. Summary of the Invention

[0008] In view of the above-mentioned technical deficiencies, the purpose of the present invention is to provide a workshop equipment data monitoring system and method.

[0009] In order to solve the above technical problems, the present invention adopts the following technical solutions: The present invention provides a workshop equipment data monitoring system, comprising the following modules: a reaction temperature prediction module, which is used to collect fermentation workshop reaction data, analyze the fermentation workshop reaction data, and set the workshop basic temperature control plan according to the analysis results.

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

[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 plan, and set the circulating water pump frequency conversion control plan.

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

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

[0014] Preferably, the circulating water pump variable frequency control scheme is set, and the specific setting process is as follows: when the temperature of the fermentation workshop is abnormal, the difference between the abnormal temperature of the fermentation workshop and the standard temperature is subtracted and divided by the standard temperature to obtain the fermentation workshop demand temperature change rate, the fermentation workshop demand temperature change rate is divided by the preset time length to obtain the fermentation workshop preset temperature change rate, the preset circulating water pump electric valve opening corresponding to the fermentation workshop preset temperature change rate is obtained from the database, the electric valve opening of each circulating water pump is changed to the preset circulating water pump electric valve opening, and 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;

[0015] The temperature change data of the fermentation workshop is collected 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 circulating water pump frequency conversion control is performed.

[0016] The monitoring data of the circulating water pump 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 load index of each circulating water pump is averaged to obtain the average load index of the circulating water pump. The effective variable of the load index is obtained from the database to obtain the effective load index range of the circulating water pump. The circulating water pumps with a load index lower than the lower limit of the effective load index range of the circulating water pump are recorded as low-frequency circulating water pumps, and the circulating water pumps with a load index higher than the upper limit of the effective load index range of the circulating water pump are recorded as high-frequency circulating water pumps.

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

[0018] On the other hand, the present invention provides a workshop equipment data monitoring method, comprising the following steps: Step 1, reaction temperature prediction: collecting fermentation workshop reaction data, analyzing the fermentation workshop reaction data, and setting a workshop basic temperature control plan according to the analysis results.

[0019] Step 2: Workshop temperature monitoring: Obtain historical feeding data from the database, analyze the historical feeding data according to the workshop basic temperature control plan, and set the 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 plan, and set the circulating water pump frequency conversion control plan.

[0021] Step 4: Cooling fan monitoring: Collect the circulating water pump frequency conversion control data and the cooling fan monitoring data, analyze the circulating water pump frequency conversion control data and the cooling fan monitoring data, and set the cooling fan frequency conversion control plan.

[0022] Step 5. Acidification system monitoring: Collect cooling water fan frequency conversion control data and cold water pump monitoring data, analyze the cooling water fan frequency conversion control data and cold water pump monitoring data, set the cooling pump frequency conversion control plan, collect frequency conversion control data, analyze the frequency conversion control data, and set the acidification system control plan.

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

[0024] 2. The present invention covers the data monitoring and control of multiple equipment in the workshop, including the fermentation workshop, circulating water pump, cooling water fan, acidification 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 can precisely adjust the operating status of the circulating water pump, cooling fan, and cooling pump according to temperature changes in the fermentation workshop. For example, in the circulating water pump variable frequency control, the electric valve opening can be adjusted according to the fermentation workshop's required temperature change rate, so that the fermentation workshop temperature is more stably close to the preset value, which helps to improve the stability of product quality. The use of a low-frequency method with multiple openings maximizes energy conservation. Variable frequency control enables soft starting and stopping of equipment, reducing current shock and mechanical wear during startup and shutdown. For example, under variable frequency control, the circulating water pump, cooling fan, and cooling pump can avoid frequent and large power fluctuations, thereby extending the equipment's service life and reducing equipment maintenance costs.

[0026] 3. Through real-time monitoring and feedback control, the frequency conversion control can be adjusted in time according to the actual operation of the system, enhancing the stability and reliability of the entire workshop equipment data monitoring system. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

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

[0029] Figure 2 The figure is a schematic flow chart of the steps for implementing the method of the present invention. DETAILED DESCRIPTION

[0030] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

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

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

[0033] The reaction temperature prediction module is used to collect the reaction data of the fermentation workshop, analyze the reaction data of the fermentation workshop, and set the basic temperature control plan of the workshop according to the analysis results.

[0034] In one embodiment, the fermentation workshop reaction data is collected in the following manner: the fermentation workshop reaction data includes, but is not limited to, various product ratios, temperature, humidity, and pressure. The mass of each product in a standard mass sample is collected by chromatography, and the mass of each product in the standard mass sample is divided by the standard mass to obtain the various product ratios. The temperature, humidity, and pressure of the fermentation workshop are collected using a temperature sensor, a humidity sensor, and a pressure sensor, respectively.

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

[0036] It should be noted that the reaction progress index calculation formula is: Among them, α is the reaction progress index, H ais the ratio of type a products in the fermentation workshop, a is the number of each product, a=1,2......c,c>0, the value of c is the total number of product types, H′ a is the standard ratio of type a products corresponding to the reaction equilibrium constant, ε a is the weight factor of type a product, ε a >0,

[0037] Standard parameter H′ a The specific value can be obtained through experiments. The specific value can be obtained by the staff through equilibrium constant calculation. For example, when a is 1, H′1 is 0.65, and the weight factor ε a The specific value of is set by the staff, for example: when a is 1, ε1 is 0.15.

[0038] 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. The fermentation reaction scenarios with the same reaction process index as the fermentation workshop are recorded as similar reaction scenarios. 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, and then the similar reaction scenario with the maximum similarity is recorded as the predicted reaction scenario.

[0039] In a specific embodiment, the basic temperature control scheme for the workshop is set up: the yield reduction rate and impurity growth rate of each temperature of the predicted reaction scenario are obtained from the database, and the yield reduction rate and impurity growth rate of each temperature of the predicted reaction scenario are substituted into the temperature impact index calculation formula to obtain the temperature impact index of each temperature of the predicted reaction scenario. If the temperature impact index of a certain temperature is greater than the preset standard temperature impact index, the temperature is recorded as an inefficient temperature, thereby obtaining each inefficient temperature. If a certain temperature is an inefficient temperature and the number of inefficient temperatures existing in the temperature influence area is greater than the preset inefficient temperature number, the temperature is recorded as a risk temperature, thereby obtaining each risk temperature, and the minimum value of each risk temperature value is recorded as the standard temperature.

[0040] It should be noted that the temperature impact index calculation formula is:

[0041] Among them, A b is the temperature impact index of the b temperature of the predicted reaction scenario, b is the number of each temperature, and the value of b is a positive integer. 1b and B 2bare the yield reduction rate and impurity growth rate at each temperature of 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 yield reduction rate weight factor and impurity growth rate weight factor, respectively. φ1>0, φ2>0, φ1+φ2=1.

[0042] The standard parameters B′1 and B′2 are the yield reduction rate threshold and impurity growth rate threshold of the predicted reaction scenario, respectively. When the yield reduction rate and impurity growth rate are greater than the threshold, 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 weight factors φ1 and φ2 is related to the required purity of the product. The greater the required purity of the product, the larger φ2 is, and the smaller 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 control the workshop temperature below the standard temperature.

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

[0045] In a specific embodiment, the setting of the workshop equipment control scheme, the setting process of the workshop equipment control scheme is as follows: historical feeding data is obtained from the database, the historical feeding data includes the temperature change rate and reaction rate change rate of each raw material feeding scheme, and 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 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 an available feeding scheme for the predicted reaction scenario, thereby obtaining each available feeding scheme for the predicted reaction scenario, and the available feeding scheme with the maximum reaction rate change rate is recorded as the usage feeding scheme for the predicted reaction scenario.

[0046] The current temperature of the fermentation workshop is obtained from various physical data of the fermentation workshop, and the current temperature of the fermentation workshop is multiplied by the temperature change rate corresponding to the usage addition 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 control plan for workshop equipment is: obtain the dosing pump power and liquid level height at each future time point corresponding to each type of drug from the dosing plan, and add drugs to each type of dosing pump according to the corresponding dosing pump power. At the same time, monitor the liquid level height. When the liquid level height is not equal to the liquid level height at the corresponding future time point, control the dosing pump power. If the preset temperature of the fermentation workshop is higher than the standard temperature, perform temperature monitoring. When the temperature is abnormal, control the circulating water pump temperature.

[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 plan, and set the circulating water pump frequency conversion control plan.

[0049] In a specific embodiment, the circulating water pump monitoring data is collected, and 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 and bearing temperature of each circulating water pump are collected through a temperature sensor, and the circulating water supply pressure of each circulating water pump is collected through a pressure sensor.

[0050] In a specific embodiment, the circulating water pump variable frequency control scheme is set, and the specific setting process is as follows: when the temperature of the fermentation workshop is abnormal, the difference between the abnormal temperature of the fermentation workshop and the standard temperature is divided by the standard temperature to obtain the fermentation workshop demand temperature change rate, and the fermentation workshop demand temperature change rate is divided by the preset time to obtain the fermentation workshop preset temperature change rate, and the preset circulating water pump electric valve opening corresponding to the fermentation workshop preset temperature change rate is obtained from the database, and the electric valve opening of each circulating water pump is changed to the preset circulating water pump electric valve opening, and the effective change amount of the temperature change rate is obtained from the database at the same time, thereby obtaining the effective change rate range of the preset temperature.

[0051] The temperature change data of the fermentation workshop is collected 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 circulating water pump frequency conversion control is performed.

[0052] The stator temperature, bearing temperature and circulating water supply pressure of each circulating water pump are substituted into the calculation formula of the circulating water pump load index to obtain the load index of each circulating water pump. The load index of each circulating water pump is averaged to obtain the average load index of the 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. The circulating water pumps with a load index lower than the lower limit of the effective load index range of the circulating water pump are recorded as low-frequency circulating water pumps, and the circulating water pumps with a load index higher than the upper limit of the effective load index range of the circulating water pump are recorded as high-frequency circulating water pumps.

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

[0054] Among them, β 1d d is the circulating water pump load index, d is the number of each circulating water pump, the value of d is a positive integer, e is a natural constant, F 1d 、F 2d and F 3d are the stator temperature, bearing temperature and circulating water supply pressure of the circulating water pump, respectively; F′1, F′2 and F′3 are the preset standard stator temperature, standard bearing temperature and standard circulating water supply pressure, respectively. and are the preset stator temperature weight factor, bearing temperature weight factor and circulating water supply pressure weight factor, respectively.

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

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

[0057] It should be noted that the PID control algorithm adjusts the control quantity according to the size of the data deviation, the speed of change and the integral value of the deviation, which can effectively reduce temperature fluctuations and make the system quickly stabilize near the preset constant temperature value. This is an existing technology that can be obtained from the Internet and will not be repeated here.

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

[0059] In a specific embodiment, the circulating water pump frequency conversion control data and the cooling water fan monitoring data are collected, and the specific collection process is as follows: the circulating water pump frequency conversion control data is various outlet data of the circulating water system, and the various outlet data of the circulating water system include but are not limited to the circulating water main supply temperature, the circulating water main return temperature, the circulating water pool liquid level displacement and the outlet pressure of each circulating pump. The circulating water main supply temperature and the circulating water main return temperature are collected by a temperature sensor, the pool picture is collected by image acquisition technology, the circulating water pool liquid level displacement is obtained by image recognition technology, and the outlet pressure of each circulating pump is collected by a pressure sensor.

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

[0061] In a specific embodiment, the variable frequency control scheme for the cooling water fan is set, and the specific setting process is as follows: the variable frequency control data of the circulating water pump is various outlet data of the circulating water system, and the various outlet data of the circulating water system are vectorized to obtain the characteristic vector of the circulating water system outlet, and the characteristic vector of the circulating water system simulation system outlet of each circulating water system usage index is obtained from the database, and the characteristic vector of the circulating water system simulation system outlet of each circulating water system usage index is similarly calculated with the characteristic vector of the circulating water system outlet to obtain the similarity of the circulating water system simulation system of each circulating water system usage index, and the circulating water system usage index of the circulating water system simulation system with the maximum similarity is recorded as the usage index of the current circulating water system. If the usage index of the current circulating water system does not belong to the valid range of the circulating water system usage index, the variable frequency control of the cooling water fan is performed.

[0062] The air flow, air temperature and air pressure of each air compressor unit of the cooling water fan are substituted into the air compressor unit load index calculation formula to obtain the load index of each air compressor unit of the cooling water fan. The load index of each air compressor unit of the cooling water fan is averaged to obtain the average load index of the air compressor unit. The effective variable of the load index is obtained from the database to obtain the effective load index range of the air compressor unit. The air compressor units with a load index lower than the lower limit of the effective load index range of the air compressor unit are recorded as low-frequency air compressor units, and the air compressor units with a load index higher than the upper limit of the effective load index range of the air compressor unit are recorded as high-frequency air compressor units.

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

[0064] Among them, β 2ris the load index of the air compressor group r, r is the number of each air compressor group, the value of r is a positive integer, G 1r , G 2r and G 3r are the air flow, air temperature and air pressure of air compressor group d, respectively; G′1, G′2 and G′2 are the preset standard air flow, standard air temperature and standard air pressure, respectively; δ1, δ2 and δ3 are the preset air flow weight factor, air temperature weight factor and air pressure weight factor, respectively; δ1>0, δ2>0, δ3>0, δ1+δ2+δ3=1.

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

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

[0067] The variable frequency control scheme of the cooling water fan is as follows: when the current usage index of the circulating water system belongs to the valid range of the circulating water system usage index, the variable frequency control of the cooling water fan is not performed, and the cooling water fan power corresponding to the current circulating water system is used for cooling. When the current usage index of the circulating water system is greater than the upper limit of the valid range of the circulating water system usage index, overfrequency control of each low-frequency cooling water fan is performed. When the current usage index of the circulating water system is less than the lower limit of the valid 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 of overfrequency control and frequency reduction control of the cooling water fan is controlled by the PID control algorithm.

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

[0069] In a specific embodiment, the cooling water fan frequency conversion control data and the cold water pump monitoring data are collected, and the specific collection process is as follows: the cooling water fan frequency conversion control data includes but is not limited to the outlet flow 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 and the power usage of the air compressor system. The outlet temperature of each unit and the air main temperature are collected through a temperature sensor, the outlet pressure of each unit and the air main pressure are collected through a pressure sensor, the outlet flow of each unit and the air main flow are collected through a flow sensor, and the power usage of the air compressor system is collected through a current sensor.

[0070] The chilled water pump monitoring data includes the refrigerant water flow rate, pump outlet pressure and water pool liquid level displacement of each chilled water pump. The refrigerant water flow rate of each chilled water pump is collected through a flow sensor, the pump outlet pressure of each chilled water pump is collected through a pressure sensor, and the water pool liquid level displacement of each chilled water pump is obtained through image acquisition technology and image recognition technology.

[0071] In a specific embodiment, the cooling pump control scheme is set up, and the specific setting process is as follows: the cooling water fan frequency conversion control data is vectorized to obtain the characteristic vector of the cooling water fan outlet, the characteristic vector of the cooling water fan simulation system outlet of each cooling water fan usage index is obtained from the database, the characteristic vector of the cooling water fan simulation system outlet of each cooling water fan usage index is calculated with the characteristic vector of the cooling water fan outlet to obtain the cooling water fan simulation system similarity of each cooling water fan usage index, the cooling water fan usage index of the cooling water fan simulation system with the maximum similarity is recorded as the current cooling water fan usage index, the cooling water fan usage index valid range is obtained from the database, if the current cooling water fan usage index does not belong to the cooling water fan usage index valid range, the cooling water fan frequency conversion control is performed.

[0072] The refrigerant water flow rate, pump outlet pressure and pool liquid level displacement of each cold water pump are substituted into the cold water pump load index calculation formula to obtain the load index of each cold water pump. The load index of each cold water pump is averaged to obtain the average load index of the cold water pump. The effective variable of the load index is obtained from the database to obtain the effective load index range of the cold water pump. The cold water pumps with a load index lower than the lower limit of the effective load index range of the cold water pump are recorded as low-frequency cold water pumps, and the cold water pumps with a load index higher than the upper limit of the effective load index range of the cold water pump are recorded as high-frequency cold water pumps.

[0073] It should be noted that the calculation formula for the cold water pump load index is:

[0074] Among them, β 3s s is the cooling water pump load index, s is the number of each cooling water pump, the value of s is a positive integer, D 1s 、D 2s and D3s are the refrigerant water flow rate, water pump outlet pressure and water pool liquid level displacement of the s cooling water pump respectively; D′1, D′2 and D′3 are the preset standard refrigerant water flow rate, standard water pump outlet pressure and standard water pool liquid level displacement respectively; η1, η2 and η3 are the preset refrigerant water flow rate weight factor, water pump outlet pressure weight factor and water pool liquid level displacement weight factor respectively; η1>0, η2>0, η3>0, η1+η2+η3=1.

[0075] The setting process of standard parameters D′1, D′2 and D′3 is the same as that of standard parameter B′1, and they are all set by staff, for example, D′1 is 1.1, D′2 is 1.5 and D′3 is 1.3. The setting process of weight factors η1, η2 and η3 is the same as that of weight factor φ1, and they are all 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: if the current air compressor system usage index belongs to the valid range of the air compressor system usage index, the electric valves of each chilled water pump are set to the corresponding opening; if the current air compressor system usage index is greater than the upper limit of the valid range of the air compressor system usage index, each high-frequency chilled water pump is reduced in frequency; if the current air compressor system usage index is less than the upper limit of the valid range of the air compressor system usage index, each low-frequency chilled water pump is overclocked. The specific opening control scheme of the overfrequency control and frequency reduction control of the chilled water pump is controlled by the PID control algorithm.

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

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

[0079] In a specific embodiment, the frequency conversion control data is collected, and the specific collection process is as follows: the frequency conversion control data includes the circulating water pump frequency conversion control rate, the circulating water pump frequency conversion control change rate, the cooling water fan frequency conversion control rate, the cooling water fan frequency conversion control change rate, the cooling pump frequency conversion control rate and the cooling pump frequency conversion control change rate, and the counter is used to collect the number of circulating water pump frequency conversion controls, the number of cooling water fan frequency conversion controls and the cooling pump frequency conversion controls within a preset time length, and the number of circulating water pump frequency conversion controls, the number of cooling water fan frequency conversion controls and the cooling pump frequency conversion controls within the preset time length are divided by the preset time length respectively. The circulating water pump frequency conversion control rate, the cooling water fan frequency conversion control rate and the cooling pump frequency conversion control rate are obtained, and the maximum circulating water pump frequency conversion control rate, the minimum circulating water pump frequency conversion control rate, the maximum cooling water fan frequency conversion control rate, the minimum cooling water fan frequency conversion control rate and the maximum cooling pump frequency conversion control rate and the minimum cooling pump frequency conversion control rate in the current production cycle are obtained from the database. The maximum control rate is subtracted from the difference of the control rates, and the result is divided by the difference of the maximum control rate subtracted from the minimum control rate to obtain the control change rate, thereby obtaining the circulating water pump frequency conversion control change rate, the cooling water fan frequency conversion control change rate and the cooling pump frequency conversion control change rate.

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

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

[0083] The setting process of standard parameters U′1, U′2, V′1, V′2, W′1 and W′2 is the same as that of standard parameter B′1, and they are all set by 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 of weight factors λ1, λ2 and λ3 is the same as that of weight factor φ1, and they are all set by 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 adding system control scheme is: if the preset acid pump valve opening is less than the stable acid pump valve opening, the acid adding 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 adding system uses the stable acid pump valve opening.

[0085] A database is used to store the reaction progress index of each fermentation reaction scenario, the physical characteristic vector of the reaction progress index of each fermentation reaction scenario, the yield reduction rate of each temperature of the predicted reaction scenario, the impurity growth rate of each temperature of the predicted reaction scenario, historical feeding data, the controllable temperature change rate threshold of the predicted reaction scenario, the preset circulating water pump electric valve opening corresponding to the preset temperature change rate of the fermentation workshop, the effective change amount of the temperature change rate, the effective variable of the load index, the characteristic vector of the circulating water system simulation system outlet of each circulating water system usage index, the cooling water fan power corresponding to the usage index of each circulating water system, the monitoring stability index interval of each acid pump valve opening and the preset acid pump valve opening corresponding to the predicted reaction scenario.

[0086] according to Figure 2 As shown, the present invention provides a workshop equipment data monitoring method, comprising the following steps: Step 1, reaction temperature prediction: collecting fermentation workshop reaction data, analyzing the fermentation workshop reaction data, and setting a workshop basic temperature control plan according to the analysis results.

[0087] Step 2: Workshop temperature monitoring: Obtain historical feeding data from the database, analyze the historical feeding data according to the workshop basic temperature control plan, and set the 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 plan, and set the circulating water pump frequency conversion control plan.

[0089] Step 4: Cooling fan monitoring: Collect the circulating water pump frequency conversion control data and the cooling fan monitoring data, analyze the circulating water pump frequency conversion control data and the cooling fan monitoring data, and set the cooling fan frequency conversion control plan.

[0090] Step 5. Acidification system monitoring: Collect cooling water fan frequency conversion control data and cold water pump monitoring data, analyze the cooling water fan frequency conversion control data and cold water pump monitoring data, set the cooling pump frequency conversion control plan, collect frequency conversion control data, analyze the frequency conversion control data, and set the acidification system control plan.

[0091] The above content is merely an example and explanation of the concept of the present invention. Those skilled in the art may make various modifications or additions to the described specific embodiments or replace them in a similar manner. 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 scope of protection 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 and analyze the reaction data of the fermentation workshop and set the basic temperature control plan of the workshop according to the analysis results; The workshop temperature monitoring module is used to obtain historical feeding data from the database, analyze the historical feeding data according to the workshop basic temperature control plan, and set the workshop equipment control plan; 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 plan, and set the circulating water pump frequency conversion control plan; The cooling fan monitoring module is used to collect and analyze the circulating water pump variable frequency control data and the cooling fan monitoring data, and set the cooling fan variable frequency control plan; The acid addition system monitoring module is used to collect the cooling water fan frequency conversion control data and the cold water pump monitoring data, analyze the cooling water fan frequency conversion control data and the cold water pump monitoring data, set the cooling pump frequency conversion control plan, collect the frequency conversion control data, analyze the frequency conversion control data, and set the acid addition system control plan.

2. A workshop equipment data monitoring system according to claim 1, characterized in that: The fermentation workshop reaction data is analyzed, and the specific analysis process is 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 in the fermentation workshop are input into the reaction progress index calculation formula to obtain the reaction progress index of the fermentation workshop; 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. The fermentation reaction scenarios with the same reaction process index as the fermentation workshop are recorded as similar reaction scenarios. 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, and then the similar reaction scenario with the maximum similarity is recorded as the predicted reaction scenario.

3. A workshop equipment data monitoring system according to claim 2, characterized in that: The basic temperature control scheme for the workshop is as follows: Obtaining the yield reduction rate and impurity growth rate of each temperature in the predicted reaction scenario from the database, substituting the yield reduction rate and impurity growth rate of each temperature in the predicted reaction scenario into the temperature impact index calculation formula to obtain the temperature impact index of each temperature in the predicted reaction scenario; if the temperature impact index of a certain temperature is greater than the preset standard temperature impact index, the temperature is recorded as an inefficient temperature, thereby obtaining various inefficient temperatures; if a certain temperature is an inefficient temperature and the number of inefficient temperatures existing in the temperature impact area is greater than the preset number of inefficient temperatures, the temperature is recorded as a risk temperature, thereby obtaining various risk temperatures, and the minimum value among the risk temperature values is recorded as the standard temperature; The basic temperature control plan for the workshop is to control the workshop temperature below the standard temperature.

4. A workshop equipment data monitoring system according to claim 3, characterized in that: The specific setting process for setting the workshop equipment control plan is as follows: Obtain historical feeding data from a database, the historical feeding data including the temperature change rate and reaction rate change rate of each raw material feeding scheme, and simultaneously obtain a controllable temperature change rate threshold value of the predicted reaction scenario from the database. If the temperature change rate of a raw material feeding scheme is less than or equal to the controllable temperature change rate threshold value of the predicted reaction scenario, it indicates that the raw material feeding scheme is an available feeding scheme for the predicted reaction scenario. In this way, each available feeding scheme for the predicted reaction scenario is obtained, and the available feeding scheme with the maximum reaction rate change rate is recorded as the used feeding scheme for the predicted reaction scenario. Obtain the current temperature of the fermentation workshop from various physical data of the fermentation workshop, multiply the current temperature of the fermentation workshop by the temperature change rate corresponding to the dosage scheme used in the predicted reaction scenario to obtain the temperature change of the fermentation workshop, and add the current temperature of the fermentation workshop to the temperature change of the fermentation workshop to obtain the preset temperature of the fermentation workshop; The control plan for workshop equipment is: obtain the dosing pump power and liquid level height at each future time point corresponding to each type of drug from the dosing plan, and add drugs to each type of dosing pump according to the corresponding dosing pump power. At the same time, monitor the liquid level height. When the liquid level height is not equal to the liquid level height at the corresponding future time point, control the dosing pump power. If the preset temperature of the fermentation workshop is higher than the standard temperature, perform temperature monitoring. When the temperature is abnormal, control the circulating water pump temperature.

5. A workshop equipment data monitoring system according to claim 4, characterized in that: The specific setting process of setting the circulating water pump frequency conversion control scheme is as follows: When the temperature of the fermentation workshop is abnormal, the difference between the abnormal temperature of the fermentation workshop and the standard temperature is subtracted and divided by the standard temperature to obtain the fermentation workshop demand temperature change rate, and the fermentation workshop demand temperature change rate is divided by the preset time to obtain the fermentation workshop preset temperature change rate. The preset circulating water pump electric valve opening corresponding to the preset temperature change rate of the fermentation workshop is obtained from the database, and the opening of each circulating water pump electric valve is changed to the preset circulating water pump electric valve opening. 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; Collect the temperature change data of 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 circulating water pump frequency conversion control is performed; The monitoring data of the circulating water pump 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 load index of each circulating water pump is averaged to obtain the average load index of the circulating water pump. The effective variable of the load index is obtained from the database to obtain the effective load index range of the circulating water pump. The circulating water pumps with a load index lower than the lower limit of the effective load index range of the circulating water pump are recorded as low-frequency circulating water pumps, and the circulating water pumps with a load index higher than the upper limit of the effective load index range of the circulating water pump are recorded as high-frequency circulating water pumps. The frequency conversion control scheme for the circulating water pump is as follows: if the actual temperature change rate of the fermentation workshop falls within the effective change rate range of the preset temperature, the circulating water pump frequency conversion control is not performed, and the opening of the electric valve of each circulating water pump is set to the preset electric valve opening of the circulating water pump. If the actual temperature change rate of the fermentation workshop is greater than the upper limit of the effective change rate range of the preset temperature, overfrequency control of each low-frequency circulating water pump is performed. If the actual temperature change rate of the fermentation workshop is less than the lower limit of the effective change rate range of the preset temperature, frequency reduction control of each low-frequency circulating water pump is performed. The specific valve opening control scheme of the overfrequency control and frequency reduction control of the circulating water pump is controlled by the PID control algorithm.

6. A workshop equipment data monitoring system according to claim 5, characterized in that: The specific setting process of setting the variable frequency control scheme of the cooling water fan is as follows: The variable frequency control data of the circulating water pump is various outlet data of the circulating water system. The various outlet data of the circulating water system are vectorized to obtain the characteristic vector of the circulating water system outlet. The characteristic vector of the circulating water system simulation system outlet of each circulating water system usage index is obtained from the database. The characteristic vector of the circulating water system simulation system outlet of each circulating water system usage index is similarly calculated with the characteristic vector of the circulating water system outlet 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 maximum similarity is recorded as the usage index of the current circulating water system. If the usage index of the current circulating water system does not belong to the valid range of the circulating water system usage index, the cooling water fan variable frequency control 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 air flow, air temperature and air pressure of each high-frequency air compressor unit and each low-frequency air compressor unit; Obtain the cooling water fan power corresponding to the usage index of each circulating water system from the database, and then obtain the cooling water fan power corresponding to the current circulating water system; The variable frequency control scheme of the cooling water fan is as follows: when the current usage index of the circulating water system belongs to the valid range of the circulating water system usage index, the variable frequency control of the cooling water fan is not performed, and the cooling water fan power corresponding to the current circulating water system is used for cooling. When the current usage index of the circulating water system is greater than the upper limit of the valid range of the circulating water system usage index, overfrequency control of each low-frequency cooling water fan is performed. When the current usage index of the circulating water system is less than the lower limit of the valid 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 of overfrequency control and frequency reduction control of the cooling water fan is controlled by the PID control algorithm.

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

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

9. The workshop equipment data monitoring system according to claim 1, characterized in that: It also includes a database for storing the reaction progress index of each fermentation reaction scenario, the physical characteristic vector of the reaction progress index of each fermentation reaction scenario, the yield reduction rate of each temperature of the predicted reaction scenario, the impurity growth rate of each temperature of the predicted reaction scenario, historical feeding data, the controllable temperature change rate threshold of the predicted reaction scenario, the preset circulating water pump electric valve opening corresponding to the preset temperature change rate of the fermentation workshop, the effective change amount of the temperature change rate, the effective variable of the load index, the characteristic vector of the circulating water system simulation system outlet of each circulating water system usage index, the cooling water fan power corresponding to the usage index of each circulating water system, the monitoring stability index interval of each acid pump valve opening and the preset acid pump valve opening 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 to 9, characterized in that: The steps include: Step 1: Reaction temperature prediction: Collect reaction data from the fermentation workshop, analyze the reaction data from the fermentation workshop, and set the basic temperature control plan for the workshop based on the analysis results; Step 2: Workshop temperature monitoring: Obtain historical material feeding data from the database, analyze the historical material feeding data according to the workshop basic temperature control plan, and set the 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 plan, and set the circulating water pump frequency conversion control plan; Step 4: Cooling fan monitoring: Collect and analyze circulating water pump frequency conversion control data and cooling fan monitoring data, and set the cooling fan frequency conversion control scheme; Step 5. Acidification system monitoring: Collect cooling water fan frequency conversion control data and cold water pump monitoring data, analyze the cooling water fan frequency conversion control data and cold water pump monitoring data, set the cooling pump frequency conversion control plan, collect frequency conversion control data, analyze the frequency conversion control data, and set the acidification system control plan.

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