Remote control system for energy consumption of pharmaceutical and chemical rectifying tower

Abstract

The invention relates to the technical field of pharmaceutical and chemical rectifying tower energy consumption remote control, and particularly discloses a pharmaceutical and chemical rectifying tower energy consumption remote control system. The system comprises a tower kettle temperature conformity analysis module, a tower kettle reboiler temperature control module, a condensation temperature conformity analysis module, a tower top condenser temperature control module, a product energy consumption reasonability feedback module and a database. By analyzing the tower kettle temperature conformity, confirming the temperature of the tower kettle reboiler, analyzing the condensing temperature conformity, confirming the temperature of the tower top condenser, analyzing the product energy consumption reasonability corresponding to the target rectifying tower and feeding back, the accuracy of temperature regulation of the tower kettle reboiler is improved, the condensing efficiency of the rectifying tower is improved, and the product quality is improved. Therefore, the energy consumption of the rectifying tower is reduced, the production cost of the rectifying tower is reduced, and meanwhile, the timeliness of finding and processing the abnormal condition of the energy consumption of the rectifying tower is improved.

Description

Technical Field

[0001] The invention relates to the technical field of energy consumption remote control of a pharmaceutical and chemical distillation tower, and in particular to a pharmaceutical and chemical distillation tower energy consumption remote control system. Background Art

[0002] Pharmaceutical and chemical distillation towers are important equipment in the production of pharmaceutical and chemical enterprises. Their energy consumption accounts for a large part of the entire chemical production process. Traditional distillation tower energy consumption control usually relies on the experience and judgment of operators, lacks intelligent and remote monitoring methods, and is difficult to achieve optimal control of energy consumption. Therefore, in order to improve chemical production efficiency and reduce production costs, it is necessary to remotely control the energy consumption of distillation towers.

[0003] The existing remote control method for the energy consumption of a distillation tower still has the following problems: 1. When analyzing the compliance of the bottom temperature, only whether the bottom temperature of the distillation tower meets the standard is considered, and no in-depth analysis is conducted on the uniformity of the bottom temperature, which reduces the coverage of the bottom temperature compliance analysis and results in large errors in the bottom temperature compliance analysis process, thereby reducing the accuracy of the temperature regulation of the bottom reboiler.

[0004] 2. In the analysis of condensation temperature compliance, the two factors of steam temperature and steam volume were not combined to conduct an in-depth analysis of the condensation temperature compliance, which reduced the comprehensiveness of the condensation temperature compliance analysis and reduced the condensation efficiency of the distillation tower, thereby increasing the energy consumption of the distillation tower.

[0005] 3. At the level of temperature control of the top condenser, the appropriate temperature of the top condenser was not analyzed in combination with the deviation between the ambient temperature and the condensation temperature and the temperature difference between the top of the tower and the bottom of the tower, which reduced the rationality and persuasiveness of the temperature adjustment of the top condenser, thereby increasing the production cost of the distillation tower.

[0006] 4. In terms of product energy consumption rationality feedback, the product energy consumption rationality was not deeply analyzed in combination with the raw material quantity and actual product quantity corresponding to each historical distillation. The real-time monitoring of the operating status of the distillation tower cannot be achieved through the remote monitoring function, which reduces the timeliness of the discovery and handling of abnormal product energy consumption of the distillation tower, and also reduces the convenience and flexibility of operation. Summary of the invention

[0007] In view of this, in order to solve the problems raised in the above background technology, a remote control system for energy consumption of a pharmaceutical and chemical distillation tower is now proposed.

[0008] The purpose of the present invention can be achieved through the following technical solutions: The present invention provides a remote control system for energy consumption of a pharmaceutical and chemical distillation tower, including: a tower bottom temperature compliance analysis module, which is used to extract the type of current raw materials, randomly divide the tower bottom of the target distillation tower into various monitoring sub-areas, perform thermal imaging monitoring on each monitoring sub-area, obtain the current corresponding thermal sensitive image of each monitoring sub-area, and analyze the current corresponding tower bottom temperature compliance of the target distillation tower.

[0009] The tower bottom reboiler temperature control module is used to adjust the temperature of the tower bottom reboiler when the tower bottom temperature compliance corresponding to the target distillation tower is less than the set value.

[0010] The condensation temperature compliance analysis module is used to collect the steam temperature and steam volume corresponding to the top of the target distillation tower in each monitoring time period, and collect the condensation temperature corresponding to the top condenser in each monitoring time period, and analyze the compliance of the condensation temperature corresponding to the top of the tower in each monitoring time period.

[0011] The tower top condenser temperature control module is used to record the monitoring time period as an abnormal time period when the condensation temperature compliance corresponding to the tower top in a certain monitoring time period is less than the set reference condensation temperature compliance, collect the ambient temperature corresponding to the tower top condenser in each abnormal time period, and adjust the temperature of the tower top condenser in each abnormal time period.

[0012] The product energy consumption rationality feedback module is used to extract the raw material quantity and actual product quantity corresponding to each historical distillation of the target distillation tower, analyze the product energy consumption rationality corresponding to the target distillation tower, and when it is less than the set reference product energy consumption rationality, it indicates that the target distillation tower has abnormal product energy consumption and feedback is given.

[0013] The database is used to store the preset vaporization temperature corresponding to each type of raw material, the appropriate reboiler temperature corresponding to each tower bottom temperature compliance, the appropriate condensation temperature corresponding to the unit steam volume, the appropriate condenser temperature corresponding to each condensation temperature deviation index, and the standard product quantity produced corresponding to the unit raw material quantity.

[0014] Specifically, the analysis of the compliance of the tower bottom temperature currently corresponding to the target distillation tower includes the following specific analysis process: A1, locating the temperature value of each temperature distribution area from the thermosensitive image currently corresponding to each monitoring sub-area.

[0015] A2. Calculate the mean of the temperature values ​​of each temperature distribution area currently corresponding to each monitoring sub-area to obtain the mean temperature currently corresponding to each monitoring sub-area, and use it as the current temperature corresponding to each monitoring sub-area, denoted as W. i , where i represents the number of the monitoring sub-area, i=1,2,...,n.

[0016] A3. Calculate the temperature uniformity β of the bottom of the target distillation tower. Where ΔW represents the total temperature deviation of the set reference, W i+1 Indicates the current temperature corresponding to the i+1th monitoring sub-area.

[0017] A4. Calculate the current temperature of the bottom of the target distillation tower corresponding to the scale x.

[0018] A5. Calculate the compliance degree δ of the current bottom temperature of the target distillation tower. Among them, β′ and χ′ represent the set reference tower bottom temperature uniformity and tower bottom temperature compliance, respectively, a1 and a2 represent the set tower bottom temperature uniformity and tower bottom temperature compliance assessment weights corresponding to the tower bottom temperature, respectively, and e represents a natural constant.

[0019] Specifically, the calculation process of the target distillation tower currently corresponding to the tower bottom temperature reaching the scale is as follows: B1, extracting the preset vaporization temperature corresponding to each raw material type from the database, and according to the type of the current raw material, matching the preset vaporization temperature corresponding to the current raw material from the database, and recording it as W 预 .

[0020] B2. Compare the current temperature corresponding to each monitoring sub-area with the preset vaporization temperature corresponding to the current raw material. If the current temperature corresponding to a monitoring sub-area is lower than the preset vaporization temperature corresponding to the current raw material, the monitoring sub-area is determined to be a sub-area where the temperature does not meet the standard. The number of sub-areas where the temperature does not meet the standard is counted and recorded as ε.

[0021] B3. Extract the minimum value from the current corresponding temperature of each monitoring sub-area and record it as W 小 .

[0022] B4. Calculate the target distillation tower's current corresponding tower bottom temperature reaching the scale χ, Where n represents the number of monitoring sub-areas, and ΔW′ represent the proportion of sub-regions with set temperature not meeting the standard and the temperature deviation, respectively. a3 and a4 represent the weights of the proportion of sub-regions with set temperature not meeting the standard and the temperature deviation corresponding to the standard assessment proportion of the bottom temperature, respectively.

[0023] Specifically, the specific method of adjusting the temperature of the bottom reboiler is: matching and comparing the bottom temperature compliance currently corresponding to the target distillation tower with the suitable reboiler temperatures corresponding to the various bottom temperature compliances stored in the database, obtaining the suitable reboiler temperature currently corresponding to the target distillation tower, and using it as the current temperature to be adjusted for the bottom reboiler.

[0024] Specifically, the analysis of the condensation temperature compliance corresponding to the tower top in each monitoring time period is as follows: C1, the steam temperature corresponding to the tower top of the target distillation tower in each monitoring time period and the condensation temperature corresponding to the tower top condenser in each monitoring time period are recorded as and Wherein, j represents the number of the monitoring time period, j=1,2,...,m.

[0025] C2. The steam volume corresponding to the top of the target distillation tower in each monitoring time period is recorded as μ j .

[0026] C3. Extract the appropriate condensation temperature corresponding to the unit steam volume from the database and record it as W 适 .

[0027] C4. Calculate the condensation temperature compliance of the tower top in each monitoring time period Among them, ΔW1 and ΔW2 respectively represent the condensing temperature deviation corresponding to the set reference steam temperature and the condensing temperature deviation corresponding to the steam volume, and a5 and a6 respectively represent the condensing temperature deviation corresponding to the set steam temperature and the condensing temperature deviation corresponding to the steam volume, and the corresponding weights of the condensing temperature compliance assessment.

[0028] Specifically, the temperature of the tower top condenser in each abnormal time period is adjusted, and the specific adjustment process is: D1, extracting the condensation temperature corresponding to the tower top condenser in each abnormal time period from the condensation temperature corresponding to the tower top condenser in each monitoring time period, and recording it as Here, g represents the number of the abnormal time period, g = 1, 2, ..., r.

[0029] D2. Record the ambient temperature of the top condenser in each abnormal time period as

[0030] D3. The current temperature of the tower bottom reboiler to be adjusted is recorded as W 沸 .

[0031] D4. Calculate the condensation temperature deviation index of the top condenser in each abnormal time period Among them, ΔW3 and ΔW4 represent the deviation between the set reference ambient temperature and the condensing temperature and the temperature difference between the tower top and the tower bottom, respectively; a7 and a8 represent the weights of the condensing temperature deviation assessment corresponding to the deviation between the set ambient temperature and the condensing temperature and the temperature difference between the tower top and the tower bottom, respectively.

[0032] D5. Match and compare the condensation temperature deviation index corresponding to the top condenser in each abnormal time period with the suitable condenser temperature corresponding to each condensation temperature deviation index stored in the database to obtain the suitable condenser temperature corresponding to the top condenser in each abnormal time period, and use it as the temperature to be adjusted for the top condenser in each abnormal time period.

[0033] Specifically, the energy consumption rationality of the product corresponding to the target distillation tower is analyzed, and the specific analysis process is as follows: E1. The standard product quantity corresponding to the unit raw material quantity is extracted from the database and recorded as σ.

[0034] E2. The amount of raw materials corresponding to each distillation in the target distillation tower is recorded as τ p , where p represents the number of each historical distillation, p = 1, 2, ..., q.

[0035] E3. Calculate the standard product volume ξ corresponding to each historical distillation of the target distillation tower p ,ξ p =σ*τ p .

[0036] E4. Subtract the standard product quantity corresponding to each historical distillation of the target distillation tower from the actual product quantity to obtain the product quantity deviation corresponding to each historical distillation of the target distillation tower.

[0037] E5. With the number of distillations as the horizontal coordinate and the product amount deviation as the vertical coordinate, a product amount deviation curve of the target distillation tower is constructed, and the slope value is located from the curve as the product amount deviation growth rate of the target distillation tower, which is marked as K.

[0038] E6. Set the product quantity deviation growth rate influencing factor λ of the target distillation tower.

[0039] E7. Calculate the reasonableness of product energy consumption corresponding to the target distillation tower, ω, Wherein, K′ represents the deviation growth rate of the product quantity of the set reference.

[0040] Specifically, the product quantity deviation growth rate influencing factor of the target distillation tower is set, and the specific setting process is: F1, taking the set reference product quantity deviation growth rate as the slope, constructing a reference baseline in the product quantity deviation curve of the target distillation tower, and locating the distillation number above the reference baseline from the product quantity deviation curve of the target distillation tower, and using it as the deviation distillation number, recorded as ζ.

[0041] F2. From the product amount deviation curve of the target distillation tower, the area above the reference baseline and the area above the reference baseline are respectively located, and the difference between the two is made to obtain the deviation area, which is recorded as ΔS.

[0042] F3, set the product quantity deviation growth rate influencing factor λ of the target distillation tower, in, and ΔS′ represent the deviation distillation proportion and deviation area of ​​the set reference respectively, b1 and b2 represent the evaluation weights of the influencing factors of product quantity deviation growth rate corresponding to the set deviation distillation proportion and deviation area respectively, and q represents the number of distillation times.

[0043] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects: (1) The present invention analyzes the compliance of the current bottom temperature of the target distillation tower by analyzing the uniformity of the bottom temperature and the compliance of the bottom temperature of the target distillation tower, thereby improving the coverage of the bottom temperature compliance analysis, reducing the error in the bottom temperature compliance analysis process, and thus improving the accuracy of the temperature regulation of the bottom reboiler.

[0044] (2) The present invention analyzes the compliance of the condensation temperature corresponding to the top of the target distillation tower in each monitoring time period by combining the steam temperature and steam volume corresponding to the top of the target distillation tower in each monitoring time period and the condensation temperature corresponding to the top condenser in each monitoring time period, thereby improving the comprehensiveness of the condensation temperature compliance analysis and improving the condensation efficiency of the distillation tower, thereby reducing the energy consumption of the distillation tower.

[0045] (3) The present invention analyzes the appropriate temperature of the top condenser by combining the deviation between the ambient temperature and the condensation temperature and the temperature difference between the top of the tower and the bottom of the tower, thereby improving the rationality and persuasiveness of the temperature regulation of the top condenser, thereby reducing the production cost of the distillation tower.

[0046] (4) The present invention conducts an in-depth analysis of the rationality of product energy consumption by combining the raw material quantities and actual product quantities corresponding to each historical distillation, and realizes real-time monitoring of the operating status of the distillation tower through the remote monitoring function, thereby improving the timeliness of discovering and handling abnormal product energy consumption of the distillation tower, and at the same time improving the convenience and flexibility of operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0048] Figure 1 It is a schematic diagram of the system module structure connection of the present invention. DETAILED DESCRIPTION

[0049] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 creative work are within the scope of protection of the present invention.

[0050] See also Figure 1 As shown, the present invention provides a remote control system for energy consumption of a pharmaceutical and chemical distillation tower, comprising: a tower bottom temperature compliance analysis module, a tower bottom reboiler temperature control module, a condensation temperature compliance analysis module, a tower top condenser temperature control module, a product energy consumption rationality feedback module and a database.

[0051] The tower kettle temperature compliance analysis module is connected to the tower kettle reboiler temperature control module, the condensation temperature compliance analysis module is connected to the tower top condenser temperature control module, the tower kettle reboiler temperature control module is connected to the tower top condenser temperature control module, and the tower kettle temperature compliance analysis module, the tower kettle reboiler temperature control module, the condensation temperature compliance analysis module, the tower top condenser temperature control module and the product energy consumption rationality feedback module are all connected to the database.

[0052] The tower bottom temperature compliance analysis module is used to extract the type of current raw materials, randomly divide the tower bottom of the target distillation tower into various monitoring sub-areas, perform thermal imaging monitoring on each monitoring sub-area, obtain the current corresponding thermal image of each monitoring sub-area, and analyze the current corresponding tower bottom temperature compliance of the target distillation tower.

[0053] It should be noted that the types of the current raw materials are extracted from the production management background of the target distillation tower, and thermal imaging monitoring is performed on each monitoring sub-area by a thermal imager installed near the bottom of the target distillation tower.

[0054] In a specific embodiment of the present invention, the specific analysis process of analyzing the compliance of the tower bottom temperature currently corresponding to the target distillation tower is as follows: A1, locating the temperature value of each temperature distribution area from the thermosensitive image currently corresponding to each monitoring sub-area.

[0055] A2. Calculate the mean of the temperature values ​​of each temperature distribution area currently corresponding to each monitoring sub-area to obtain the mean temperature currently corresponding to each monitoring sub-area, and use it as the current temperature corresponding to each monitoring sub-area, denoted as W. i , where i represents the number of the monitoring sub-area, i=1,2,...,n.

[0056] A3. Calculate the temperature uniformity β of the bottom of the target distillation tower. Where ΔW represents the total temperature deviation of the set reference, W i+1Indicates the current temperature corresponding to the i+1th monitoring sub-area.

[0057] A4. Calculate the current temperature of the bottom of the target distillation tower corresponding to the scale x.

[0058] In a specific embodiment of the present invention, the calculation process of the target distillation tower currently corresponding to the tower bottom temperature reaching the scale is as follows: B1, extracting the preset vaporization temperature corresponding to each raw material type from the database, and according to the type of the current raw material, matching the preset vaporization temperature corresponding to the current raw material from the database, and recording it as W 预 .

[0059] B2. Compare the current temperature corresponding to each monitoring sub-area with the preset vaporization temperature corresponding to the current raw material. If the current temperature corresponding to a monitoring sub-area is lower than the preset vaporization temperature corresponding to the current raw material, the monitoring sub-area is determined to be a sub-area where the temperature does not meet the standard. The number of sub-areas where the temperature does not meet the standard is counted and recorded as ε.

[0060] B3. Extract the minimum value from the current corresponding temperature of each monitoring sub-area and record it as W 小 .

[0061] B4. Calculate the target distillation tower's current corresponding tower bottom temperature reaching the scale χ, Where n represents the number of monitoring sub-areas, and ΔW′ represent the proportion of sub-regions with set temperature not meeting the standard and the temperature deviation, respectively. a3 and a4 represent the weights of the proportion of sub-regions with set temperature not meeting the standard and the temperature deviation corresponding to the standard assessment proportion of the bottom temperature, respectively.

[0062] In a specific embodiment of the present invention, the setting value of a3 is 50%, and the setting value of a4 is 50%.

[0063] A5. Calculate the compliance degree δ of the current bottom temperature of the target distillation tower. Among them, β′ and χ′ represent the set reference tower bottom temperature uniformity and tower bottom temperature compliance, respectively, a1 and a2 represent the set tower bottom temperature uniformity and tower bottom temperature compliance assessment weights corresponding to the tower bottom temperature, respectively, and e represents a natural constant.

[0064] In a specific embodiment of the present invention, the setting value of a1 is 50%, and the setting value of a2 is 50%. If the uniformity of the bottom temperature is poor, it may lead to unstable product quality, inconsistent reaction rate and other problems. If the bottom temperature deviates from the predetermined value, it may affect the yield, selectivity and energy consumption of the product. Therefore, when analyzing the compliance of the current bottom temperature corresponding to the target distillation tower, the uniformity and compliance of the bottom temperature are equally important considerations.

[0065] The embodiment of the present invention analyzes the compliance of the tower bottom temperature currently corresponding to the target distillation tower by analyzing the uniformity of the tower bottom temperature and the compliance of the tower bottom temperature currently corresponding to the target distillation tower, thereby improving the coverage of the tower bottom temperature compliance analysis, reducing the error in the tower bottom temperature compliance analysis process, and thus improving the accuracy of the temperature regulation of the tower bottom reboiler.

[0066] The tower bottom reboiler temperature control module is used to adjust the temperature of the tower bottom reboiler when the tower bottom temperature compliance currently corresponding to the target distillation tower is less than the set value.

[0067] In a specific embodiment of the present invention, the specific method of adjusting the temperature of the bottom reboiler is: matching and comparing the bottom temperature compliance currently corresponding to the target distillation tower with the suitable reboiler temperatures corresponding to the respective bottom temperature compliances stored in the database, obtaining the suitable reboiler temperature currently corresponding to the target distillation tower, and using it as the current temperature to be adjusted for the bottom reboiler.

[0068] The condensation temperature compliance analysis module is used to collect the steam temperature and steam volume corresponding to the top of the target distillation tower in each monitoring time period, and collect the condensation temperature corresponding to the top condenser in each monitoring time period, and analyze the compliance of the condensation temperature corresponding to the top of the tower in each monitoring time period.

[0069] It should be noted that the steam temperature and steam volume corresponding to the top of the target distillation tower in each monitoring time period are respectively collected by the temperature sensor and thermal flow meter installed on the top of the tower, and the condensation temperature corresponding to the top condenser in each monitoring time period is collected by the temperature sensor installed on the top condenser.

[0070] In a specific embodiment of the present invention, the analysis of the condensation temperature compliance corresponding to the tower top in each monitoring time period is specifically performed as follows: C1, the steam temperature corresponding to the tower top of the target distillation tower in each monitoring time period and the condensation temperature corresponding to the tower top condenser in each monitoring time period are recorded as and Wherein, j represents the number of the monitoring time period, j=1,2,...,m.

[0071] C2. The steam volume corresponding to the top of the target distillation tower in each monitoring time period is recorded as μ j .

[0072] C3. Extract the appropriate condensation temperature corresponding to the unit steam volume from the database and record it as W 适 .

[0073] C4. Calculate the condensation temperature compliance of the tower top in each monitoring time period Among them, ΔW1 and ΔW2 respectively represent the condensing temperature deviation corresponding to the set reference steam temperature and the condensing temperature deviation corresponding to the steam volume, and a5 and a6 respectively represent the condensing temperature deviation corresponding to the set steam temperature and the condensing temperature deviation corresponding to the steam volume, and the corresponding weights of the condensing temperature compliance assessment.

[0074] It should be noted that, ideally, the difference between the steam temperature and the condensation temperature should be as small as possible to improve energy efficiency and reduce energy loss. This is because, if the steam temperature is too high, more cooling medium is required to condense it to the required temperature, thereby increasing energy consumption. On the contrary, if the steam temperature is too low, it may cause the condensate in the condenser to be overcooled, further increasing energy consumption and possibly affecting product quality. The relationship between the steam volume and the condensation temperature is also closely related. During the condensation process, the amount of steam will directly affect the condensation temperature. When the steam volume is large, the condenser needs more cooling medium to condense the steam into liquid, which will lead to an increase in the condensation temperature. On the contrary, when the steam volume is small, the cooling medium required by the condenser will also be reduced accordingly, which will lead to a decrease in the condensation temperature.

[0075] In a specific embodiment of the present invention, the setting value of a5 is 50%, and the setting value of a6 is 50%.

[0076] The embodiment of the present invention analyzes the compliance of the condensation temperature corresponding to the top of the target distillation tower in each monitoring time period by combining the steam temperature and steam volume corresponding to the top of the target distillation tower in each monitoring time period and the condensation temperature corresponding to the top condenser in each monitoring time period, thereby improving the comprehensiveness of the condensation temperature compliance analysis and improving the condensation efficiency of the distillation tower, thereby reducing the energy consumption of the distillation tower.

[0077] The tower top condenser temperature control module is used to record the monitoring time period as an abnormal time period when the compliance degree of the condensation temperature corresponding to the tower top in a certain monitoring time period is less than the compliance degree of the set reference condensation temperature, collect the ambient temperature corresponding to the tower top condenser in each abnormal time period, and adjust the temperature of the tower top condenser in each abnormal time period.

[0078] It should be noted that the ambient temperature corresponding to the tower top condenser in each abnormal time period is collected by a temperature sensor installed in the environment to which the tower top condenser belongs.

[0079] In a specific embodiment of the present invention, the temperature of the tower top condenser in each abnormal time period is adjusted, and the specific adjustment process is: D1, extracting the condensation temperature corresponding to the tower top condenser in each abnormal time period from the condensation temperature corresponding to the tower top condenser in each monitoring time period, and recording it as Here, g represents the number of the abnormal time period, g = 1, 2, ..., r.

[0080] D2. Record the ambient temperature of the top condenser in each abnormal time period as

[0081] D3. The current temperature of the tower bottom reboiler to be adjusted is recorded as W 沸 .

[0082] D4. Calculate the condensation temperature deviation index of the top condenser in each abnormal time period Among them, ΔW3 and ΔW4 represent the deviation between the set reference ambient temperature and the condensing temperature and the temperature difference between the tower top and the tower bottom, respectively; a7 and a8 represent the weights of the condensing temperature deviation assessment corresponding to the deviation between the set ambient temperature and the condensing temperature and the temperature difference between the tower top and the tower bottom, respectively.

[0083] It should be noted that when the temperature deviation between the ambient temperature and the condensation temperature is too large, it may lead to increased energy consumption. This is because the condensation process requires energy to cool the steam or gas and convert it into liquid. Excessive temperature deviation means that the condenser needs more cooling medium to reduce the temperature of the steam or gas, thereby increasing energy consumption. Therefore, in order to reduce energy consumption, the temperature deviation between the ambient temperature and the condensation temperature should be reduced as much as possible. A large temperature difference between the top of the tower and the bottom of the tower will lead to greater heat energy transfer, thereby increasing energy consumption. This is because the greater the temperature difference, the more energy is required for heat exchange in order to maintain the stability of the system. Therefore, if the temperature difference between the top of the tower and the bottom of the tower can be effectively reduced, it will help reduce energy consumption and improve the energy efficiency of the entire system.

[0084] In a specific embodiment of the present invention, the setting value of a7 is 50%, and the setting value of a8 is 50%.

[0085] D5. Match and compare the condensation temperature deviation index corresponding to the top condenser in each abnormal time period with the suitable condenser temperature corresponding to each condensation temperature deviation index stored in the database to obtain the suitable condenser temperature corresponding to the top condenser in each abnormal time period, and use it as the temperature to be adjusted for the top condenser in each abnormal time period.

[0086] The embodiment of the present invention analyzes the appropriate temperature of the top condenser by combining the deviation between the ambient temperature and the condensation temperature and the temperature difference between the top of the tower and the bottom of the tower, thereby improving the rationality and persuasiveness of the temperature regulation of the top condenser and reducing the production cost of the distillation tower.

[0087] The product energy consumption rationality feedback module is used to extract the raw material quantity and actual product quantity corresponding to each historical distillation of the target distillation tower, analyze the product energy consumption rationality corresponding to the target distillation tower, and when it is less than the set reference product energy consumption rationality, it indicates that the target distillation tower has abnormal product energy consumption and feedback is given.

[0088] It should be noted that the raw material quantities and actual product quantities corresponding to each historical distillation of the target distillation tower are extracted from the production management background of the target distillation tower.

[0089] In a specific embodiment of the present invention, the energy consumption rationality of the product corresponding to the target distillation tower is analyzed, and the specific analysis process is: E1. The standard product quantity corresponding to the unit raw material quantity is extracted from the database and recorded as σ.

[0090] E2. The amount of raw materials corresponding to each distillation in the target distillation tower is recorded as τ p , where p represents the number of each historical distillation, p = 1, 2, ..., q.

[0091] E3. Calculate the standard product volume ξ corresponding to each historical distillation of the target distillation tower p ,ξ p =σ*τ p .

[0092] E4. Subtract the standard product quantity corresponding to each historical distillation of the target distillation tower from the actual product quantity to obtain the product quantity deviation corresponding to each historical distillation of the target distillation tower.

[0093] E5. With the number of distillations as the horizontal coordinate and the product amount deviation as the vertical coordinate, a product amount deviation curve of the target distillation tower is constructed, and the slope value is located from the curve as the product amount deviation growth rate of the target distillation tower, which is marked as K.

[0094] E6. Set the product quantity deviation growth rate influencing factor λ of the target distillation tower.

[0095] In a specific embodiment of the present invention, the product quantity deviation growth rate influencing factor of the target distillation tower is set, and the specific setting process is: F1, taking the reference product quantity deviation growth rate as the slope, constructing a reference baseline in the product quantity deviation curve of the target distillation tower, and locating the distillation number above the reference baseline from the product quantity deviation curve of the target distillation tower, and using it as the deviation distillation number, recorded as ζ.

[0096] F2. From the product amount deviation curve of the target distillation tower, the area above the reference baseline and the area above the reference baseline are respectively located, and the difference between the two is made to obtain the deviation area, which is recorded as ΔS.

[0097] F3, set the product quantity deviation growth rate influencing factor λ of the target distillation tower, in, and ΔS′ represent the deviation distillation proportion and deviation area of ​​the set reference respectively, b1 and b2 represent the evaluation weights of the influencing factors of product quantity deviation growth rate corresponding to the set deviation distillation proportion and deviation area respectively, and q represents the number of distillation times.

[0098] In a specific embodiment of the present invention, the setting value of b1 is 50%, and the setting value of b2 is 50%.

[0099] E7. Calculate the reasonableness of product energy consumption corresponding to the target distillation tower, ω, Wherein, K′ represents the deviation growth rate of the product quantity of the set reference.

[0100] The embodiment of the present invention conducts an in-depth analysis of the rationality of product energy consumption by combining the raw material quantities and actual product quantities corresponding to each historical distillation, and realizes real-time monitoring of the operating status of the distillation tower through the remote monitoring function, thereby improving the timeliness of discovery and processing of abnormal product energy consumption of the distillation tower, and at the same time improving the convenience and flexibility of operation.

[0101] The database is used to store the preset vaporization temperature corresponding to each type of raw material, store the appropriate reboiler temperature corresponding to each tower bottom temperature compliance, store the appropriate condensation temperature corresponding to the unit steam volume, store the appropriate condenser temperature corresponding to each condensation temperature deviation index, and store the standard product quantity produced corresponding to the unit raw material quantity.

[0102] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described 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 by the present invention, they shall all fall within the protection scope of the present invention.

Claims

1. A remote control system for energy consumption of a pharmaceutical and chemical distillation tower, characterized in that: include: The tower bottom temperature compliance analysis module is used to extract the type of current raw materials, randomly divide the tower bottom of the target distillation tower into various monitoring sub-areas, perform thermal imaging monitoring on each monitoring sub-area, obtain the current corresponding thermal image of each monitoring sub-area, and analyze the compliance of the tower bottom temperature corresponding to the target distillation tower; The tower bottom reboiler temperature control module is used to adjust the temperature of the tower bottom reboiler when the tower bottom temperature compliance of the target distillation tower is less than the set value; The condensation temperature compliance analysis module is used to collect the steam temperature and steam volume corresponding to the top of the target distillation tower in each monitoring time period, and collect the condensation temperature corresponding to the top condenser in each monitoring time period, and analyze the compliance of the condensation temperature corresponding to the top of the tower in each monitoring time period; The tower top condenser temperature control module is used to record the monitoring time period as an abnormal time period when the condensation temperature compliance degree corresponding to the tower top in a certain monitoring time period is less than the set reference condensation temperature compliance degree, collect the ambient temperature corresponding to the tower top condenser in each abnormal time period, and adjust the temperature of the tower top condenser in each abnormal time period; The product energy consumption rationality feedback module is used to extract the raw material quantity and actual product quantity corresponding to each historical distillation of the target distillation tower, analyze the product energy consumption rationality corresponding to the target distillation tower, and when it is less than the set reference product energy consumption rationality, it indicates that the target distillation tower has abnormal product energy consumption and feedback is given; The database is used to store the preset vaporization temperature corresponding to each type of raw material, the appropriate reboiler temperature corresponding to each tower bottom temperature compliance, the appropriate condensation temperature corresponding to the unit steam volume, the appropriate condenser temperature corresponding to each condensation temperature deviation index, and the standard product quantity produced corresponding to the unit raw material quantity.

2. A remote control system for energy consumption of a pharmaceutical and chemical distillation tower according to claim 1, characterized in that: The specific analysis process of the compliance of the tower bottom temperature corresponding to the target distillation tower is as follows: A1. Locate the temperature value of each temperature distribution area from the thermal image currently corresponding to each monitoring sub-area; A2. Calculate the mean of the temperature values ​​of each temperature distribution area currently corresponding to each monitoring sub-area to obtain the mean temperature currently corresponding to each monitoring sub-area, and use it as the current temperature corresponding to each monitoring sub-area, denoted as W. i , where i represents the number of the monitoring sub-area, i=1,2,...,n; A3. Calculate the temperature uniformity β of the bottom of the target distillation tower. Where ΔW represents the total temperature deviation of the set reference, W i+1 Indicates the current temperature corresponding to the i+1th monitoring sub-area; A4. Calculate the current temperature of the tower kettle corresponding to the target distillation tower to reach the scale χ; A5. Calculate the compliance degree δ of the current bottom temperature of the target distillation tower. Among them, β′ and χ′ represent the set reference tower bottom temperature uniformity and tower bottom temperature compliance, respectively, a1 and a2 represent the set tower bottom temperature uniformity and tower bottom temperature compliance assessment weights corresponding to the tower bottom temperature, respectively, and e represents a natural constant.

3. A remote control system for energy consumption of a pharmaceutical and chemical distillation tower according to claim 2, characterized in that: The specific calculation process of the target distillation tower's current corresponding tower bottom temperature reaching the scale is as follows: B1. Extract the preset vaporization temperature corresponding to each raw material type from the database, and match the preset vaporization temperature corresponding to the current raw material from the database according to the type of the current raw material, and record it as W 预 ; B2. Compare the current temperature of each monitoring sub-region with the preset vaporization temperature of the current raw material. If the current temperature of a monitoring sub-region is lower than the preset vaporization temperature of the current raw material, the monitoring sub-region is determined to be a sub-region where the temperature does not meet the standard. The number of sub-regions where the temperature does not meet the standard is counted and recorded as ε. B3. Extract the minimum value from the current corresponding temperature of each monitoring sub-area and record it as W 小 ; B4. Calculate the target distillation tower's current corresponding tower bottom temperature reaching the scale χ, Where n represents the number of monitoring sub-areas, and ΔW′ represent the proportion of sub-regions with set temperature not meeting the standard and the temperature deviation, respectively. a3 and a4 represent the weights of the proportion of sub-regions with set temperature not meeting the standard and the temperature deviation corresponding to the standard assessment proportion of the bottom temperature, respectively.

4. A remote control system for energy consumption of a pharmaceutical and chemical distillation tower according to claim 2, characterized in that: The specific method of adjusting the temperature of the bottom reboiler is: matching and comparing the bottom temperature compliance currently corresponding to the target distillation tower with the appropriate reboiler temperatures corresponding to the respective bottom temperature compliances stored in the database, obtaining the appropriate reboiler temperature currently corresponding to the target distillation tower, and using it as the current temperature to be adjusted for the bottom reboiler.

5. A remote control system for energy consumption of a pharmaceutical and chemical distillation tower according to claim 4, characterized in that: The analysis of the condensation temperature compliance of the tower top in each monitoring time period is as follows: C1. The steam temperature corresponding to the top of the target distillation tower in each monitoring time period and the condensation temperature corresponding to the top condenser in each monitoring time period are recorded as and Wherein, j represents the number of the monitoring time period, j = 1, 2, ..., m; C2. The steam volume corresponding to the top of the target distillation tower in each monitoring time period is recorded as μ j ; C3. Extract the appropriate condensation temperature corresponding to the unit steam volume from the database and record it as W 适 ; C4. Calculate the condensation temperature compliance θ corresponding to the tower top in each monitoring time period j , Among them, ΔW1 and ΔW2 respectively represent the condensing temperature deviation corresponding to the set reference steam temperature and the condensing temperature deviation corresponding to the steam volume, and a5 and a6 respectively represent the condensing temperature deviation corresponding to the set steam temperature and the condensing temperature deviation corresponding to the steam volume, and the corresponding weights of the condensing temperature compliance assessment.

6. A remote control system for energy consumption of a pharmaceutical and chemical distillation tower according to claim 5, characterized in that: The temperature of the tower top condenser in each abnormal time period is adjusted, and the specific adjustment process is: D1. Extract the condensation temperature corresponding to each abnormal time period from the condensation temperature corresponding to each monitoring time period of the tower top condenser, and record it as W g 冷 , where g represents the number of the abnormal time period, g = 1, 2, ..., r; D2. The ambient temperature of the top condenser in each abnormal time period is recorded as W g 环 ; D3. The current temperature of the tower bottom reboiler to be adjusted is recorded as W 沸 ; D4. Calculate the condensation temperature deviation index of the top condenser in each abnormal time period Among them, ΔW3 and ΔW4 represent the deviation between the set reference ambient temperature and the condensing temperature and the temperature difference between the tower top and the tower bottom, respectively; a7 and a8 represent the weight of the condensing temperature deviation assessment corresponding to the deviation between the set ambient temperature and the condensing temperature and the temperature difference between the tower top and the tower bottom, respectively; D5. Match and compare the condensation temperature deviation index corresponding to the top condenser in each abnormal time period with the suitable condenser temperature corresponding to each condensation temperature deviation index stored in the database to obtain the suitable condenser temperature corresponding to the top condenser in each abnormal time period, and use it as the temperature to be adjusted for the top condenser in each abnormal time period.

7. A remote control system for energy consumption of a pharmaceutical and chemical distillation tower according to claim 2, characterized in that: The specific analysis process of the reasonableness of the product energy consumption corresponding to the target distillation tower is as follows: E1. Extract the standard product quantity corresponding to the unit raw material quantity from the database and record it as σ; E2. The amount of raw materials corresponding to each distillation in the target distillation tower is recorded as τ p , where p represents the number of each historical distillation, p = 1, 2, ..., q; E3. Calculate the standard product volume ξ corresponding to each historical distillation of the target distillation tower p ,ξ p =σ*τ p ; E4. Subtract the standard product amount corresponding to each historical distillation of the target distillation tower from the actual product amount to obtain the product amount deviation corresponding to each historical distillation of the target distillation tower; E5. Construct a product amount deviation curve of the target distillation tower with the number of distillation times as the horizontal coordinate and the product amount deviation as the vertical coordinate, and locate the slope value from the curve as the product amount deviation growth rate of the target distillation tower, which is marked as K; E6. Set the product quantity deviation growth rate influencing factor λ of the target distillation tower; E7. Calculate the reasonableness of product energy consumption corresponding to the target distillation tower, ω, Wherein, K′ represents the deviation growth rate of the product quantity of the set reference.

8. A remote control system for energy consumption of a pharmaceutical and chemical distillation tower according to claim 7, characterized in that: The specific setting process of setting the product quantity deviation growth rate influencing factor of the target distillation tower is as follows: F1. Taking the reference product amount deviation growth rate as the slope, a reference baseline is constructed in the product amount deviation curve of the target distillation tower, and the distillation times above the reference baseline are located from the product amount deviation curve of the target distillation tower, and the distillation times are taken as the deviation distillation times, recorded as ζ; F2. Locate the area above the reference baseline and the area above the reference baseline enclosed by the target distillation tower from the product amount deviation curve, and make a difference between the two to obtain the deviation area, which is recorded as ΔS; F3, set the product quantity deviation growth rate influencing factor λ of the target distillation tower, in, and ΔS′ represent the deviation distillation proportion and deviation area of ​​the set reference respectively, b1 and b2 represent the evaluation weights of the influencing factors of product quantity deviation growth rate corresponding to the set deviation distillation proportion and deviation area respectively, and q represents the number of distillation times.

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