Intelligent online monitoring control system for preparation of insect repellent intermediate

Abstract

The invention relates to the technical field of intelligent on-line monitoring and control for preparation of an insect repellent intermediate, and particularly discloses an intelligent on-line monitoring and control system for preparation of an insect repellent intermediate, which comprises a raw material crushing evaluation module, a crushing strength adjustment module, a reaction process information acquisition module, a reaction type judgment and control module and a database, whether the raw materials are fully crushed is evaluated by combining the particle sizes of the raw materials, when the raw materials are not fully crushed, the crushing strength of the crusher is adjusted, and meanwhile, the reaction types corresponding to the monitoring time periods are judged by combining the reaction information corresponding to the monitoring time periods in the preparation reaction process of the vermifuge intermediate; the method has the advantages that the method is simple in operation, and specific reaction control is carried out, so that the production efficiency and safety of the anthelmintic intermediate are improved, the production cost and resource waste are reduced, the production period is shortened, and meanwhile, research and development personnel can be helped to optimize and adjust reaction conditions by accurately judging and controlling the reaction types.

Description

Technical Field

[0001] The invention relates to the technical field of intelligent online monitoring and control for the preparation of anthelmintic drug intermediates, and in particular to an intelligent online monitoring and control system for the preparation of anthelmintic drug intermediates. Background Art

[0002] In the preparation process of anthelmintic drugs, the quality of intermediates and the control of the preparation process are crucial to the efficacy and safety of the final drug. However, the existing preparation process often relies on manual operation and offline detection, which has problems such as detection lag, inaccurate data, and cumbersome operation. Therefore, it is necessary to develop an intelligent online monitoring and control system that can monitor the intermediate preparation process in real time and accurately.

[0003] The following problems still exist in the prior art: 1. Whether the raw materials are sufficiently crushed is not evaluated in combination with the particle size of each raw material. At the same time, when the raw materials are not sufficiently crushed, the crushing force of the grinder is not adjusted. The degree of crushing is not evaluated in combination with the particle size of the raw materials, which may lead to instability in drug solubility and bioavailability, directly affecting the quality and performance of the final product, and reducing the production efficiency of anthelmintic drug intermediates.

[0004] 2. The reaction information corresponding to each monitoring time period in the preparation reaction of the anthelmintic drug intermediates was not combined to determine the reaction type corresponding to each monitoring time period, which reduced the safety of the anthelmintic drug intermediate production process, increased production costs and resource waste, and prolonged the production cycle.

[0005] 3. No specific reaction control was performed for the reaction types corresponding to each monitoring time period, that is, when the reaction was incomplete, the reaction temperature and the stirring speed of the raw material mixer were not adjusted; when the side reaction was excessive, no immediate feedback was given; when the reaction was too intense, the reaction temperature was not adjusted. The inability to accurately judge and control the reaction type would hinder the R&D personnel from optimizing and adjusting the reaction conditions, thereby affecting the progress of R&D. At the same time, if the product quality and safety did not meet the requirements, it might result in the product being unable to obtain market access or losing its market competitiveness. Summary of the invention

[0006] In view of this, in order to solve the problems raised in the above background technology, an intelligent online monitoring and control system for the preparation of anthelmintic drug intermediates is now proposed.

[0007] The purpose of the present invention can be achieved through the following technical solutions: The present invention provides an intelligent online monitoring and control system for the preparation of anthelmintic intermediates, including: a raw material crushing evaluation module, which is used to collect the corresponding raw material images before the preparation of the target batch of anthelmintic intermediates, and measure the particle size of each raw material from each raw material image, and evaluate whether the corresponding raw material crushing before the preparation of the target batch of anthelmintic intermediates is sufficient. If not, the crushing force adjustment module is executed; if sufficient, the reaction process information collection module is executed.

[0008] The pulverizing force adjustment module is used to adjust the pulverizing force of the pulverizer before the preparation of the target batch of anthelmintic drug intermediates.

[0009] The reaction process information collection module is used to collect the reaction information, reaction temperature and stirring speed of the raw material mixer corresponding to each monitoring time period during the preparation reaction of the target batch of anthelmintic drug intermediates.

[0010] The reaction type judgment control module is used to judge the reaction type corresponding to each monitoring time period during the preparation reaction of the target batch of anthelmintic drug intermediates, and to perform reaction control on the reaction type corresponding to each monitoring time period.

[0011] The database is used to store the appropriate crushing force of the crusher corresponding to the crushing degree of each raw material, store the compensating stirring speed corresponding to the unit yield abnormal deviation, and store the reduced reaction temperature value corresponding to the unit reaction severe deviation.

[0012] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects: (1) The present invention evaluates whether the raw materials are sufficiently crushed by combining the particle size of each raw material. When the raw materials are not sufficiently crushed, the crushing force of the crusher is adjusted, and the degree of crushing is evaluated in combination with the particle size of the raw materials, thereby improving the stability of drug dissolution and bioavailability, avoiding direct impact on the quality and performance of the final product, and improving the production efficiency of anthelmintic drug intermediates.

[0013] (2) The present invention combines the reaction information corresponding to each monitoring time period during the preparation reaction of the anthelmintic drug intermediate to determine the reaction type corresponding to each monitoring time period, thereby improving the safety of the anthelmintic drug intermediate production process, reducing production costs and resource waste, and shortening the production cycle.

[0014] (3) The present invention performs specific reaction control on the reaction type corresponding to each monitoring time period, that is, when the reaction is insufficient, the reaction temperature and the stirring speed of the raw material mixer are adjusted; when the side reaction is excessive, immediate feedback is given; when the reaction is excessively violent, the reaction temperature is adjusted. Accurately judging and controlling the reaction type will help R&D personnel to optimize and adjust the reaction conditions, avoid affecting the progress of R&D, and at the same time avoid the product quality and safety not meeting the requirements, resulting in the product being unable to obtain market access qualifications or losing market competitiveness. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] 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.

[0016] Figure 1 It is a schematic diagram of the system module structure connection of the present invention. DETAILED DESCRIPTION

[0017] 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.

[0018] See also Figure 1 As shown, the present invention provides an intelligent online monitoring and control system for the preparation of anthelmintic drug intermediates, including: a raw material crushing evaluation module, a crushing force adjustment module, a reaction process information collection module, a reaction type judgment control module and a database.

[0019] The raw material crushing evaluation module is connected to the crushing force adjustment module and the reaction process information collection module, the reaction process information collection module is connected to the reaction type judgment control module, and the crushing force adjustment module and the reaction type judgment control module are both connected to the database.

[0020] The raw material crushing evaluation module is used to collect the raw material images corresponding to the target batch of anthelmintic drug intermediates before preparation, and measure the particle size of each raw material from each raw material image, to evaluate whether the raw materials corresponding to the target batch of anthelmintic drug intermediates before preparation are sufficiently crushed. If not, the crushing force adjustment module is executed; if sufficient, the reaction process information collection module is executed.

[0021] It should be noted that the corresponding raw material images before the preparation of the target batch of anthelmintic drug intermediates are obtained by collecting them through the installed high-definition camera.

[0022] In a specific embodiment of the present invention, the specific process of evaluating whether the corresponding raw materials are sufficiently crushed before the preparation of the target batch of anthelmintic drug intermediates is: A1. Based on the particle size of each raw material measured in each raw material image, the corresponding raw material particle size before the preparation of the target batch of anthelmintic drug intermediates is calculated.

[0023] It should be noted that the specific process of calculating the degree of compliance of the raw material particle size corresponding to the target batch of anthelmintic drug intermediates before preparation is as follows: comparing the particle size of each raw material measured in each raw material image with the prescribed permitted raw material particle size range; if a raw material particle size is within the prescribed permitted raw material particle size range, then the raw material is recorded as a raw material with a particle size that meets the standard; the number of raw materials with a particle size that meets the standard in each raw material image is counted, and the numbers are accumulated to obtain the total number of raw materials with a particle size that meets the standard, recorded as τ.

[0024] Calculate the particle size compliance β of the target batch of anthelmintic intermediates before preparation. Among them, τ′ represents the total number of raw materials with the set reference particle size that meets the standard.

[0025] A2. Compare the particle sizes of each raw material measured in each raw material image with each other, count the number of raw material particles within each particle size range in each raw material image, and calculate the distribution uniformity χ of the raw material particles corresponding to the target batch of anthelmintic drug intermediates before preparation.

[0026] In a specific embodiment of the present invention, the specific process of calculating the uniformity of the raw material particle distribution corresponding to the target batch of anthelmintic intermediates before preparation is as follows: B1, using the particle size range as the horizontal coordinate and the number of raw material particles as the vertical coordinate, constructing a particle size distribution curve corresponding to each raw material image, and locating the slope value from the curve as the particle size distribution change rate corresponding to each raw material image, which is marked as K i , where i represents the number of the raw image, i=1,2,...,n.

[0027] B2. Calculate the uniformity of raw material particle distribution before the preparation of the target batch of anthelmintic intermediates, χ. Here, K′ represents the change rate of the particle size distribution of the set reference, and n represents the number of raw material images.

[0028] A3. Calculate the raw material crushing degree δ corresponding to the target batch of anthelmintic intermediates before preparation. Among them, a1 and a2 represent the weights of the set raw material particle size compliance and raw material particle distribution uniformity corresponding to the raw material crushing sufficiency assessment, a1+a2=1.

[0029] In a specific embodiment of the present invention, a1 is set to 0.5, a2 is set to 0.5, and the raw material particle size compliance and raw material particle distribution uniformity are both important considerations when calculating the raw material crushing sufficiency. Their respective importance depends on the specific requirements and process characteristics of drug preparation. In the actual preparation process, it is necessary to comprehensively consider these two factors according to the characteristics and preparation requirements of the drug, and take corresponding measures to ensure that the crushing effect of the raw material meets the requirements.

[0030] A4. Compare the raw material crushing degree corresponding to the target batch of anthelmintic intermediates before preparation with the set reference raw material crushing degree. If the raw material crushing degree corresponding to the target batch of anthelmintic intermediates before preparation is greater than or equal to the set reference raw material crushing degree, it indicates that the raw material crushing degree corresponding to the target batch of anthelmintic intermediates before preparation is sufficient.

[0031] The pulverizing force adjustment module is used to adjust the pulverizing force of the pulverizer before the preparation of the target batch of anthelmintic drug intermediates.

[0032] In a specific embodiment of the present invention, the specific process of adjusting the crushing strength of the pulverizer before the preparation of the target batch of anthelmintic intermediates is: comparing the raw material crushing sufficiency corresponding to the target batch of anthelmintic intermediates before preparation with the appropriate crushing strength of the pulverizer corresponding to the crushing sufficiency of each raw material stored in the database, obtaining the appropriate crushing strength of the pulverizer corresponding to the target batch of anthelmintic intermediates before preparation, and adjusting the crushing strength of the pulverizer before preparation of the target batch of anthelmintic intermediates to the appropriate crushing strength of the pulverizer.

[0033] The embodiment of the present invention evaluates whether the raw materials are sufficiently crushed by combining the particle sizes of each raw material. When the raw materials are not sufficiently crushed, the crushing force of the crusher is adjusted. The degree of crushing is evaluated in combination with the particle size of the raw materials, the stability of drug dissolution and bioavailability is improved, and the quality and performance of the final product are avoided to be directly affected. At the same time, the production efficiency of anthelmintic drug intermediates is improved.

[0034] The reaction process information collection module is used to collect reaction information, reaction temperature and stirring speed of a raw material mixer corresponding to each monitoring time period during the preparation reaction of a target batch of anthelmintic drug intermediates.

[0035] In a specific embodiment of the present invention, the reaction information includes the target intermediate yield per unit time, the number of by-product types, the amount of each by-product and the reaction heat.

[0036] It should be noted that the target intermediate yield per unit time, the number of by-product types, the amount of each by-product, the reaction heat, the reaction temperature and the stirring speed of the raw material mixer are all extracted from the reaction process information collection system.

[0037] The reaction type judgment control module is used to judge the reaction type corresponding to each monitoring time period during the preparation reaction of the target batch of anthelmintic drug intermediates, and to perform reaction control on the reaction type corresponding to each monitoring time period.

[0038] In a specific embodiment of the present invention, the specific process of determining the reaction type corresponding to each monitoring time period during the preparation reaction of the target batch of anthelmintic intermediates is as follows: C1, extracting the target intermediate yield per unit time, the number of by-product types, the amount of each by-product, and the reaction heat from the reaction information corresponding to each monitoring time period during the preparation reaction of the target batch of anthelmintic intermediates, and calculating the yield abnormality index ψ corresponding to each monitoring time period during the preparation reaction of the target batch of anthelmintic intermediates based on the reaction information. j , adverse reaction abnormality index and the reaction severity index ω j , where j represents the number of the monitoring time period, j=1,2,...,m.

[0039] In a specific embodiment of the present invention, the specific process of calculating the yield abnormality index corresponding to each monitoring time period during the preparation reaction of the target batch of anthelmintic intermediates is as follows: D1, the target intermediate yield per unit time corresponding to each monitoring time period during the preparation reaction of the target batch of anthelmintic intermediates is recorded as ε j .

[0040] D2. Calculate the yield abnormality index ψ corresponding to each monitoring time period during the preparation reaction of the target batch of anthelmintic intermediates j , Among them, ε′ and Δε represent the target intermediate yield per unit time and the target intermediate yield deviation per unit time of the set reference, respectively.

[0041] It should be noted that the specific process of calculating the side reaction abnormality index corresponding to each monitoring time period during the preparation reaction of the target batch of anthelmintic intermediates is as follows: the number of by-product types corresponding to each monitoring time period during the preparation reaction of the target batch of anthelmintic intermediates is recorded as σ j .

[0042] The amount of each by-product corresponding to each monitoring time period during the preparation reaction of the target batch of anthelmintic intermediates is accumulated to obtain the amount of by-product corresponding to each monitoring time period during the preparation reaction of the target batch of anthelmintic intermediates, and recorded as μ j .

[0043] Calculate the adverse reaction abnormality index corresponding to each monitoring time period during the preparation reaction of the target batch of anthelmintic drug intermediates Wherein, σ′ and μ′ represent the number of by-product types and the amount of by-products set as reference, respectively.

[0044] It should be noted that the specific process of calculating the reaction intensity index corresponding to each monitoring time period during the preparation reaction of the target batch of anthelmintic intermediates is as follows: the reaction heat corresponding to each monitoring time period during the preparation reaction of the target batch of anthelmintic intermediates is recorded as Q j ;

[0045] Calculate the reaction intensity index ω corresponding to each monitoring time period during the preparation reaction of the target batch of anthelmintic intermediates j , Wherein, Q′ and ΔQ represent the set reference reaction heat and reaction heat deviation, respectively.

[0046] C2. Establish a reaction type diagnosis model corresponding to each monitoring time period during the preparation reaction of the target batch of anthelmintic intermediates, and output the reaction type diagnosis results corresponding to each monitoring time period, wherein the reaction type diagnosis model corresponding to each monitoring time period is expressed as: Among them, P1, P2 and P3 represent the evaluation conditions of the reaction type diagnosis results corresponding to each monitoring time period, and P1 represents ψ j ≥ψ′, P2 means P3 represents ω j ≥ω′, where ψ′, and ω′ represent the yield abnormality index, side reaction abnormality index and reaction severity index of the set reference, respectively.

[0047] The embodiment of the present invention combines the reaction information corresponding to each monitoring time period during the preparation reaction of the anthelmintic drug intermediate to determine the reaction type corresponding to each monitoring time period, thereby improving the safety of the anthelmintic drug intermediate production process, reducing production costs and resource waste, and shortening the production cycle.

[0048] In a specific embodiment of the present invention, the specific process of performing reaction control on the reaction type corresponding to each monitoring time period is as follows: E1. If the reaction type corresponding to a monitoring time period is insufficient reaction, the monitoring time period is recorded as an insufficient reaction time period, and the reaction temperature and the stirring speed of the raw material mixer corresponding to each insufficient reaction time period are extracted, and reaction control is performed on each insufficient reaction time period.

[0049] In a specific embodiment of the present invention, the specific process of controlling the reaction of each insufficient reaction time period is as follows: F1. Compare the reaction temperature corresponding to each insufficient reaction time period with the set reaction temperature. If the reaction temperature corresponding to a certain insufficient reaction time period is lower than the set reaction temperature, the reaction temperature corresponding to the insufficient reaction time period is increased to the set reaction temperature.

[0050] F2, the stirring speed of the raw material mixer corresponding to each insufficient reaction time period is recorded as v g, extract the compensation stirring speed corresponding to the abnormal deviation of unit yield from the database and record it as v0, set the appropriate stirring speed of the raw material mixer corresponding to each insufficient reaction time period Where g represents the number of the insufficient response time period, g = 1, 2, ..., p, ψ g It represents the yield abnormality index corresponding to the g-th insufficient reaction time period during the preparation reaction of the target batch of anthelmintic drug intermediates.

[0051] E2. If the reaction type corresponding to a certain monitoring time period is excessive side effect, feedback will be given immediately.

[0052] E3. If the reaction type corresponding to a certain monitoring time period is an overly violent reaction, the monitoring time period is recorded as a violent reaction time period, the reaction temperature corresponding to each violent reaction time period is extracted, the appropriate reaction temperature corresponding to each violent reaction time period is confirmed, and the reaction temperature corresponding to each violent reaction time period is adjusted to the appropriate reaction temperature.

[0053] In a specific embodiment of the present invention, the specific process of determining the appropriate reaction temperature corresponding to each intense reaction time period is as follows: G1, the reaction temperature corresponding to each intense reaction time period is recorded as W r , r represents the number of the intense reaction time period, r = 1, 2, ..., q.

[0054] G2. Extract the lowered reaction temperature value corresponding to the unit reaction drastic deviation from the database and record it as W0.

[0055] G3. Set the appropriate reaction temperature for each intense reaction period Among them, ω r It represents the reaction intensity index corresponding to the rth intense reaction time period during the preparation reaction of the target batch of anthelmintic drug intermediates.

[0056] The embodiment of the present invention performs specific reaction control on the reaction type corresponding to each monitoring time period, that is, when the reaction is insufficient, the reaction temperature and the stirring speed of the raw material mixer are adjusted, when the side reaction is excessive, immediate feedback is given, and when the reaction is excessively violent, the reaction temperature is adjusted. Accurately judging and controlling the reaction type will help R&D personnel to optimize and adjust the reaction conditions to avoid affecting the progress of R&D, and at the same time avoid the product quality and safety not meeting the requirements, resulting in the product being unable to obtain market access qualifications or losing market competitiveness.

[0057] The database is used to store the appropriate crushing force of the crusher corresponding to the crushing degree of each raw material, store the compensation stirring speed corresponding to the abnormal deviation of the unit yield, and store the reduced reaction temperature value corresponding to the violent deviation of the unit reaction. The data sources in the database of this embodiment are shown in Table 1 below.

[0058] Table 1 Data sources in the database

[0059]

[0060]

[0061] 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. An intelligent online monitoring and control system for the preparation of anthelmintic drug intermediates, characterized in that: include: The raw material crushing evaluation module is used to collect the raw material images corresponding to the target batch of anthelmintic intermediates before preparation, and measure the particle size of each raw material from each raw material image, and evaluate whether the raw material crushing corresponding to the target batch of anthelmintic intermediates before preparation is sufficient. If not, the crushing intensity adjustment module is executed; if sufficient, the reaction process information collection module is executed; A pulverizing force adjustment module is used to adjust the pulverizing force of the pulverizer before the preparation of the target batch of anthelmintic drug intermediates; The reaction process information collection module is used to collect the reaction information, reaction temperature and stirring speed of the raw material mixer corresponding to each monitoring time period during the preparation reaction of the target batch of anthelmintic drug intermediates; A reaction type judgment control module is used to judge the reaction type corresponding to each monitoring time period during the preparation reaction of the target batch of anthelmintic drug intermediates, and to perform reaction control on the reaction type corresponding to each monitoring time period; The database is used to store the appropriate crushing force of the crusher corresponding to the crushing degree of each raw material, store the compensating stirring speed corresponding to the unit yield abnormal deviation, and store the reduced reaction temperature value corresponding to the unit reaction severe deviation.

2. The intelligent online monitoring and control system for preparing an anthelmintic drug intermediate according to claim 1, characterized in that: The specific process of evaluating whether the corresponding raw materials are sufficiently crushed before the preparation of the target batch of anthelmintic drug intermediates is as follows: A1. Based on the particle sizes of each raw material measured in each raw material image, calculate the particle size compliance β of the target batch of anthelmintic drug intermediates before preparation; A2. Compare the particle sizes of each raw material measured in each raw material image with each other, count the number of raw material particles in each particle size range in each raw material image, and calculate the distribution uniformity χ of the raw material particles corresponding to the target batch of anthelmintic drug intermediates before preparation; A3. Calculate the raw material crushing degree δ corresponding to the target batch of anthelmintic intermediates before preparation. Among them, a1 and a2 represent the weights of the set raw material particle size compliance and raw material particle distribution uniformity corresponding to the raw material crushing sufficiency assessment, a1+a2=1; A4. Compare the raw material crushing degree corresponding to the target batch of anthelmintic intermediates before preparation with the set reference raw material crushing degree. If the raw material crushing degree corresponding to the target batch of anthelmintic intermediates before preparation is greater than or equal to the set reference raw material crushing degree, it indicates that the raw material crushing degree corresponding to the target batch of anthelmintic intermediates before preparation is sufficient.

3. The intelligent online monitoring and control system for preparing an anthelmintic drug intermediate according to claim 2, characterized in that: The specific process of calculating the distribution uniformity of the raw material particles corresponding to the target batch of anthelmintic drug intermediates before preparation is as follows: B1. Using the particle size range as the horizontal coordinate and the number of raw material particles as the vertical coordinate, construct a particle size distribution curve corresponding to each raw material image, and locate the slope value from the curve as the particle size distribution change rate corresponding to each raw material image, which is marked as K i , where i represents the number of the raw image, i=1,2,...,n; B2. Calculate the uniformity of raw material particle distribution before the preparation of the target batch of anthelmintic intermediates, χ. Here, K′ represents the change rate of the particle size distribution of the set reference, and n represents the number of raw material images.

4. The intelligent online monitoring and control system for preparing an anthelmintic drug intermediate according to claim 3, characterized in that: The specific process of adjusting the crushing force of the pulverizer before the preparation of the target batch of anthelmintic intermediates is: comparing the raw material crushing sufficiency corresponding to the target batch of anthelmintic intermediates before the preparation with the appropriate crushing force of the pulverizer corresponding to the crushing sufficiency of each raw material stored in the database, obtaining the appropriate crushing force of the pulverizer before the preparation of the target batch of anthelmintic intermediates, and adjusting the crushing force of the pulverizer before the preparation of the target batch of anthelmintic intermediates to the appropriate crushing force of the pulverizer.

5. The intelligent online monitoring and control system for preparing an anthelmintic drug intermediate according to claim 1, characterized in that: The reaction information includes the target intermediate yield per unit time, the number of by-product types, the amount of each by-product and the reaction heat.

6. The intelligent online monitoring and control system for preparing an anthelmintic drug intermediate according to claim 5, characterized in that: The specific process of determining the reaction type corresponding to each monitoring time period during the preparation reaction of the target batch of anthelmintic intermediates is as follows: C1. Extract the target intermediate yield, number of by-product types, amount of each by-product and reaction heat per unit time from the reaction information corresponding to each monitoring time period during the preparation reaction of the target batch of anthelmintic intermediates, and calculate the yield abnormality index ψ corresponding to each monitoring time period during the preparation reaction of the target batch of anthelmintic intermediates based on this. j , adverse reaction index and the reaction severity index ω j , where j represents the number of the monitoring time period, j = 1, 2, ..., m; C2. Establish a reaction type diagnosis model corresponding to each monitoring time period during the preparation reaction of the target batch of anthelmintic intermediates, and output the reaction type diagnosis results corresponding to each monitoring time period, wherein the reaction type diagnosis model corresponding to each monitoring time period is expressed as: Among them, P1, P2 and P3 represent the evaluation conditions of the reaction type diagnosis results corresponding to each monitoring time period, and P1 represents ψ j ≥ψ′, P2 means P3 represents ω j ≥ω′, where ψ′, and ω′ represent the yield abnormality index, side reaction abnormality index and reaction severity index of the set reference, respectively.

7. The intelligent online monitoring and control system for preparing an anthelmintic drug intermediate according to claim 6, characterized in that: The specific process of calculating the yield abnormality index corresponding to each monitoring time period during the preparation reaction of the target batch of anthelmintic intermediates is: D1. The target intermediate yield per unit time corresponding to each monitoring time period during the preparation reaction of the target batch of anthelmintic intermediates is recorded as ε j ; D2. Calculate the yield abnormality index ψ corresponding to each monitoring time period during the preparation reaction of the target batch of anthelmintic intermediates j , Among them, ε′ and Δε represent the target intermediate yield per unit time and the target intermediate yield deviation per unit time of the set reference, respectively.

8. The intelligent online monitoring and control system for preparing an anthelmintic drug intermediate according to claim 6, characterized in that: The specific process of controlling the reaction type corresponding to each monitoring time period is as follows: E1. If the reaction type corresponding to a certain monitoring time period is insufficient reaction, the monitoring time period is recorded as the insufficient reaction time period, the reaction temperature and the stirring speed of the raw material mixer corresponding to each insufficient reaction time period are extracted, and the reaction control is performed on each insufficient reaction time period; E2. If the reaction type corresponding to a certain monitoring time period is excessive side effect, feedback is given immediately; E3. If the reaction type corresponding to a certain monitoring time period is an overly violent reaction, the monitoring time period is recorded as a violent reaction time period, the reaction temperature corresponding to each violent reaction time period is extracted, the appropriate reaction temperature corresponding to each violent reaction time period is confirmed, and the reaction temperature corresponding to each violent reaction time period is adjusted to the appropriate reaction temperature.

9. The intelligent online monitoring and control system for preparing an anthelmintic drug intermediate according to claim 8, characterized in that: The specific process of controlling the reaction of each insufficient reaction time period is as follows: F1. Compare the reaction temperature corresponding to each insufficient reaction time period with the set reaction temperature. If the reaction temperature corresponding to a certain insufficient reaction time period is lower than the set reaction temperature, increase the reaction temperature corresponding to the insufficient reaction time period to the set reaction temperature. F2, the stirring speed of the raw material mixer corresponding to each insufficient reaction time period is recorded as v g , extract the compensation stirring speed corresponding to the abnormal deviation of unit yield from the database and record it as v0, set the appropriate stirring speed of the raw material mixer corresponding to each insufficient reaction time period Where g represents the number of the insufficient response time period, g = 1, 2, ..., p, ψ g It represents the yield abnormality index corresponding to the g-th insufficient reaction time period during the preparation reaction of the target batch of anthelmintic drug intermediates.

10. The intelligent online monitoring and control system for preparing an anthelmintic drug intermediate according to claim 8, characterized in that: The specific process of confirming the appropriate reaction temperature corresponding to each intense reaction time period is as follows: G1. The reaction temperature corresponding to each intense reaction period is recorded as W r , r represents the number of the intense reaction time period, r = 1, 2, ..., q; G2, extracting the lowered reaction temperature value corresponding to the unit reaction drastic deviation from the database and recording it as W0; G3. Set the appropriate reaction temperature for each intense reaction period Among them, ω r It represents the reaction intensity index corresponding to the rth intense reaction time period during the preparation reaction of the target batch of anthelmintic drug intermediates.

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