An operating method and system for ensuring safety and quality control of petrochemical enterprise processes

Abstract

The application discloses an operation method and system for ensuring process safety and quality control of petrochemical enterprises, and relates to the technical field of process safety and quality control of petrochemical enterprise process changes, and the method comprises the following steps: the overall architecture comprises dividing reference nodes, optimizing operation time, and reconstructing operation variable increments. The method comprehensively considers the influence mechanism of the numerical value of the intermediate transition point and the operation time on the production process, solves the difficult problems of simultaneously realizing the safety, economy and optimality of the production process during the large-scale working condition change process of the petrochemical enterprise, and realizes the target of guiding the operation personnel to select the intermediate transition point through scientific means, thereby providing technical support for solving the operation problems in the working condition switching process of the production device of the petrochemical enterprise.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of process safety and quality control of process changes in petrochemical enterprises, and particularly relates to an operation method and system for ensuring process safety and quality control of petrochemical enterprises. BACKGROUND

[0002] After a hundred years of development and evolution, the production process of the oil refining and chemical industry has been mature. Under the background of current energy security and energy innovation, the future development direction of the chemical industry will be raw material diversification, technology low carbonization and product high-endization. The general process of a chemical production device is long and complex, and the production conditions include extreme conditions such as high temperature and high pressure, low temperature and negative pressure. Once the operation is abnormal, it will directly affect the entire production system, and further cause production and safety accidents. Therefore, there is a high requirement for the reliability of the operation adjustment of the production device, and the research on the process safety and quality control thereof is crucial.

[0003] In petrochemical enterprises, considering economic benefits, a production device can have multiple process flows, such as grade switching or load adjustment, which can greatly change the process flow and further cause a large range of changes in system conditions. Chemical production is usually a multi-element continuous process, and any change in a condition will cause fluctuations in other variables, thereby causing the system to deviate from the normal condition and further affecting the operation safety and product quality. Therefore, it is necessary to timely adjust the operation variables of the production device to ensure safe and stable production of the system during the entire operation cycle. How to safely and smoothly realize large-range operation adjustment of the production device is a problem that enterprises urgently need to solve.

[0004] In actual operation, the operator of a production device in a petrochemical enterprise often realizes large-range changes in conditions by adjusting the set value of a controller multiple times. The large-range change process of the condition is artificially divided into several small-range change processes, that is, some intermediate transition points are inserted to reduce the change amplitude of each section of the condition, thereby reducing the fluctuations in the operation process and ensuring production safety. At present, the operator generally completes the selection and application of the intermediate transition points according to experience, that is, the set value of the controller needs to be timely adjusted according to the measurement value of the relevant variables in the field based on the experience of the operator. However, the selection process is relatively blind and requires a large amount of production line experience, which has a very high requirement for the experience and technology of the operator and is not conducive to popularization and application. Therefore, a novel, scientific and easy-to-use operation method is needed to adjust the large-range change in the condition, thereby providing technical support for the operation problem of petrochemical enterprises based on process safety and quality control. SUMMARY

[0005] The application aims to provide an operation method and system for ensuring the safety and quality control of petrochemical enterprise process, which aims to provide an operation method for ensuring the safety and quality control of petrochemical enterprise production device under the process of working condition switching, solve the problems of relatively blind selection of intermediate transition points of device operation variables under large-scale changes of working conditions, and ensure operation safety and production efficiency through scientific methods; solve the problems of high experience and technical requirements of operation personnel for the selection of intermediate transition points of operation variables, and difficult application, adopt dynamic optimization and other methods, focus on optimization model solving technology research under actual application conditions, build the solution strategy of dynamic optimization problem of working condition switching process, and provide technical support for solving the operation problems of petrochemical enterprise production device working condition switching process. In order to achieve the above purpose, the application provides the following technical scheme:

[0006] The application provides an operation method for ensuring the safety and quality control of petrochemical enterprise process, which comprises the following steps:

[0007] Step S1: according to the change range of operation variables from the current working condition to the target working condition and the overall adjustment time, K intermediate transition points are evenly divided as reference nodes of subsequent optimization problems;

[0008] Step S2: taking the divided intermediate transition points as initial values, taking the operation values of the intermediate transition points as standards, and adopting a dynamic optimization method to optimize the dynamic model of the production process, the optimal operation time of each intermediate transition point is obtained;

[0009] Step S3: according to the reference nodes divided in step S1, it is judged whether the intermediate transition points obtained in the previous step are evenly distributed in each reference node, if there are multiple intermediate transition points in a reference node or no intermediate transition point in a reference node, the optimal operation time of each intermediate transition point needs to be further optimized;

[0010] Step S4: if each reference node is evenly distributed with one intermediate transition point, stop optimization, and the set of intermediate transition points is the optimal intermediate transition point, otherwise, continue to repeat step S3.

[0011] Further, the step S1 specifically comprises:

[0012] Step S11: according to the change of the current working condition to the target working condition, the change range of operation variables and the overall adjustment time are determined;

[0013] Step S12: according to the principle of time network balance division and equal growth of operation variables, K intermediate transition points are evenly divided as reference nodes of subsequent optimization problems.

[0014] Further, the step S2 specifically comprises:

[0015] Step S21: Establishing a dynamic model of the production process; the expression of the dynamic model is as follows:

[0016]

[0017] In the formula, f[x(t), u(t), t] represents a state equation of the production process; represents a derivative of x(t); u(t) represents an operation variable, that is, a control variable; u(t0) represents an operation variable of a current working condition; u(t f ) represents an operation variable of a target working condition; x(t) represents a state variable; x(t0) represents a state variable of a current working condition; x(t f ) represents a state variable of a target working condition; the upper indexes t0 and t f respectively represent steady-state values of the current working condition and the target working condition;

[0018] Step S22: Taking the initial intermediate transition point divided in step S21 as an initial value, and taking an operation value of the intermediate transition point as a standard, an operation time of each intermediate transition point is optimized and calculated:

[0019]

[0020] In the formula, J represents a performance index (also referred to as an objective function); represents an integral performance index; L is a continuous differentiable function of x(t) and t; an operation value of the intermediate transition point is a value of the operation variable u(t), and an operation time of the intermediate transition point is a time during which u(t) continuously acts, which can be specifically represented as:

[0021] u(t) = [u1(t) u2(t) … u l (t) … u M (t)] T ;

[0022]

[0023] In the formula, u l (t) represents an lth operation variable, Tm represents a discrete period; nkTm represents an operation time of a kth intermediate transition point node; t k-1 and t k represent a start time and an end time of the kth intermediate transition point node; t N represents an end time of the adjustment process, that is, t f ;

[0024] Step S23: Finding an optimal operation time t f and t k-1 of each intermediate transition point in the interval [t0, t kSo that the state variable x(t) is from the initial state Transition to the terminal state And the objective function J reaches the extreme value.

[0025] Further, the step S3 specifically comprises:

[0026] Step S31: judging whether the optimized intermediate transition points obtained in the last step are evenly within each reference node with the initial intermediate transition points divided in step S12 as the reference node;

[0027] Step S32: if the optimized intermediate transition points are not evenly within each reference node, measures will be taken to re-divide the operation variable increment;

[0028] Step S33: taking the operation value re-adjusted in step S32 as the standard, the operation time of each intermediate transition point is continuously optimized and calculated.

[0029] Further, the step S32 specifically comprises:

[0030] Step S321: if there are multiple intermediate transition points in a certain reference node, it indicates that the operation in this section of node is too frequent, and the operation variable increment needs to be combined;

[0031] Step S322: if there is no intermediate transition point in a certain reference node, it indicates that the operation variable increment is too large, and the increment needs to be re-divided.

[0032] Further, the step S4 specifically comprises:

[0033] Step S41: the optimization termination condition is that there is and only one intermediate transition point in each section of node, if the termination condition is not reached, step S3 is continuously repeated;

[0034] Step 42: if the termination condition is met, the optimization is stopped, and the set of intermediate transition points is the optimal intermediate transition point.

[0035] The application also provides an operation system for ensuring the process safety and quality control of a petrochemical enterprise, the system comprising:

[0036] An intermediate transition point division module is used for uniformly dividing K intermediate transition points from the current working condition to the target working condition according to the change range of the operation variable and the overall adjustment time, as the reference node of the subsequent optimization problem;

[0037] An optimal operation time acquisition module is used for taking the divided intermediate transition points as the initial value, taking the operation value of the intermediate transition point as the standard, and using the dynamic optimization method to optimize the dynamic model of the production process to obtain the optimal operation time of each intermediate transition point;

[0038] An optimal operation time optimization module is configured to determine whether the intermediate transition points obtained in the previous step are evenly distributed in each reference node according to the reference nodes divided by the intermediate transition point division module, and if there are multiple intermediate transition points in a reference node or no intermediate transition point in a reference node, the optimal operation time of each intermediate transition point needs to be further optimized.

[0039] An optimal intermediate transition point determination module is configured to stop optimization if one intermediate transition point is evenly distributed in each reference node, and the set of intermediate transition points is the optimal intermediate transition points, otherwise, the reference node determination module is repeatedly executed.

[0040] The application also provides an electronic device comprising:

[0041] One or more processors;

[0042] A storage device configured to store one or more programs;

[0043] When the one or more programs are executed by the one or more processors, the one or more processors implement the operation method for ensuring the safety and quality control of the process of a petrochemical enterprise.

[0044] The application also provides a storage medium comprising computer executable instructions for executing the operation method for ensuring the safety and quality control of the process of a petrochemical enterprise when executed by a computer processor.

[0045] Technical effects and advantages of the application:

[0046] The application comprehensively considers the influence mechanism of the numerical value of the intermediate transition point and the operation time on the production process, studies the optimal intermediate transition point of the wide-range process change, solves the problem of simultaneously achieving safety, economy and optimality in the wide-range process change of a petrochemical enterprise, and realizes the selection of the intermediate transition point by scientific means. In summary, compared with the prior art, the above technical solutions of the application can achieve the following beneficial effects:

[0047] (1) The method for obtaining the intermediate transition point in the wide-range process change is based on dynamic optimization, the optimal operation time of each intermediate transition point is obtained by re-dividing the increment of the operation variable, and the safety of the production process is improved by avoiding production fluctuations caused by untimely operation or too frequent operation.

[0048] (2), the application considers the actual application problems such as calculation cost and operation complexity, and provides a simple method for obtaining the optimal intermediate transition point, so that the optimal scheme can be provided for the field, the subjectivity influence of the traditional intermediate transition point selected by experience is reduced, and the economic benefit of the production process is improved.

[0049] Other features and advantages of the present application will be set forth in the following description, and in part will become apparent to those skilled in the art upon examination of the following or can be learned by practice of the application. The objects and other advantages of the application can be realized and attained by the structure particularly pointed out in the written description and claims hereof. BRIEF DESCRIPTION OF DRAWINGS

[0050] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or the prior art description. Obviously, the drawings in the following description are some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor on the basis of these drawings.

[0051] Figure 1 An operation method flow chart for ensuring process safety and quality control of a petrochemical enterprise of the present application;

[0052] Figure 2 An overall flow chart of an operation method for process safety and quality control of a petrochemical enterprise process wide change process provided by an embodiment of the present application;

[0053] Figure 3 An influence mechanism diagram of an operation time of an intermediate transition point under low dispersion precision of a production process of a petrochemical enterprise provided by an embodiment of the present application on a control target;

[0054] Figure 4 An influence mechanism diagram of an operation time of an intermediate transition point under high dispersion precision of a production process of a petrochemical enterprise provided by an embodiment of the present application on a control target;

[0055] Figure 5 An operation system schematic diagram for ensuring process safety and quality control of a petrochemical enterprise of the present application;

[0056] Figure 6 A schematic diagram of an electronic device provided by the present application. DETAILED DESCRIPTION

[0057] With reference to the accompanying drawings, the technical solutions in the embodiments of the present application will be clearly and completely described in order to make the technical solutions in the embodiments of the present application apparent to those skilled in the art. Obviously, the described embodiments are only a part but not all of the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative efforts should fall into the scope of the present application.

[0058] To solve the problems in the prior art, the present application discloses an operation method for ensuring process safety and quality control of a petrochemical enterprise, Figure 1 The operation method flow chart for ensuring process safety and quality control of a petrochemical enterprise according to the present application is shown in Figure 1 The method comprises the following steps:

[0059] Step S1: According to the variation range of the operation variable from the current working condition to the target working condition and the overall adjustment time, K intermediate transition points are evenly divided by using the time network balancing division and the operation variable equivalent growth principle, which are used as reference nodes of the subsequent optimization problem.

[0060] Step S2: Taking the operation value of the intermediate transition point as the standard and taking the dynamic model of the production process as the object, the operation time of each intermediate transition point is optimized.

[0061] Step S3: According to the reference nodes divided in step S1, it is judged whether the intermediate transition points obtained in the previous step are evenly located in each reference node. If it does not meet the requirement, the operation variable increment is re-divided according to a certain principle, and then the operation time of the intermediate transition point is re-optimized.

[0062] Step S4: The optimization termination condition is that there is only one intermediate transition point in each node. If the termination condition is not met, the optimization of step S3 is continued; if the termination condition is met, the optimization is stopped, and the set of intermediate transition points is the optimal intermediate transition point.

[0063] Figure 2 The operation method for process safety and quality control of a petrochemical enterprise process wide-range change process according to the embodiment of the present application is shown in Figure 2 The method comprises the following steps:

[0064] Step S1: According to the variation range of the operation variable from the current working condition to the target working condition and the overall adjustment time, K intermediate transition points are evenly divided, which are used as reference nodes of the subsequent optimization problem.

[0065] Step S11: According to the variation of the current working condition to the target working condition, the variation range of the operation variable (i.e. the steady-state increment) and the overall adjustment time are determined.

[0066] In petrochemical enterprises, whether it is grade switching or load change, the process conditions are changed in a planned manner, which means that the steady state working points of the system before and after the working condition change are known. Therefore, the current and target steady working conditions can be obtained through steady state optimization. In this way, the initial value, target value and change range of the operating variables can be determined.

[0067] Chemical processes are mostly nonlinear processes with large time delay. Therefore, after adjusting the parameters, the device needs a certain dynamic response time to reach stability. This means that after the working condition changes, the overall adjustment time of the operating variables must be greater than or equal to the dynamic response time of the device. Therefore, the dynamic response time can be determined by step testing the device first, and then the overall adjustment time of the operating variables is further determined.

[0068] Step S12: After determining the change range and overall adjustment time of the operating variables, based on the consideration of the size of the control variable increment and the length of the time grid, K intermediate transition points are evenly divided according to the principle of time network balance and equal growth of operating variables, which are used as reference nodes for subsequent optimization problems.

[0069] Step S2: Taking the divided intermediate transition points as initial values and the operating values of the intermediate transition points as standards, the dynamic model of the production process is optimized by using dynamic optimization method to obtain the optimal operating time of each intermediate transition point.

[0070] Step S21: First, a dynamic model of the production process is established; the expression of the dynamic model is as follows:

[0071]

[0072] In the formula, f[x(t), u(t), t] represents the state equation of the production process; represents the derivative of x(t); u(t) represents the operating variable, that is, the control variable; u(t0) represents the operating variable of the current working condition; u(t f ) represents the operating variable of the target working condition; x(t) represents the state variable; x(t0) represents the state variable of the current working condition; x(t f ) represents the state variable of the target working condition; the superscripts t0 and t f represent the steady state values of the current working condition and the target working condition, respectively;

[0073] Step S22: Taking the initial intermediate transition points divided in step S12 as initial values and the operating values of the intermediate transition points as standards, the operating time of each intermediate transition point is optimized and calculated:

[0074]

[0075] In the formula, J represents a performance index (also referred to as an objective function); represents an integral performance index; L represents a continuously differentiable function of x(t) and t; the operation value of the intermediate transition point, i.e., the value of the operation variable u(t), and the operation time of the intermediate transition point, i.e., the time during which u(t) acts, can be represented in detail as:

[0076] u(t) = [u1(t) u2(t)... u l (t)... u M (t)] T ; (3)

[0077]

[0078] In the formula, u l (t) represents the lth operation variable, Tm represents a discrete period; nkTm represents the operation time of the kth intermediate transition point node; t k-1 and t k represent the start and end times of the kth intermediate transition point node; t N represents the end time of the adjustment process, i.e., t f .

[0079] Step S23: Now the optimal operation time t f and t k-1 of each intermediate transition point in the interval [t0, t k ] are sought, so that the state variable x(t) is transitioned from the initial state to the terminal state and the objective function J reaches an extreme value.

[0080] Step S3: According to the reference nodes divided in step 1, it is determined whether the intermediate transition points obtained in the previous step are evenly distributed in each reference node. If there are multiple intermediate transition points in a reference node or no intermediate transition point in a certain reference node, the optimal operation time of each intermediate transition point needs to be further optimized.

[0081] Step S31: According to the initial intermediate transition points divided in step S12, it is determined whether the optimized intermediate transition points obtained in the previous step are evenly distributed in each reference node.

[0082] When the operation time of a certain intermediate transition point is long, i.e. the operation time of the intermediate transition point spans several reference nodes, the fluctuation of the controlled variable within the operation time of the intermediate transition point is usually large, and vice versa, the fluctuation of the controlled variable within the operation time of the intermediate transition point is small. This shows that whether the division of the current operation variable increment is reasonable can be evaluated according to the length of the operation time of the adjacent intermediate transition points. The operation time of the initial intermediate transition point divided in step S12 is selected as the reference node.

[0083] Step S32: If the optimized intermediate transition points are not evenly distributed in each reference node, the following measures will be taken:

[0084] Step S321: If there are multiple intermediate transition points in a certain reference node, it indicates that the operation is too frequent in this node, and the increment of the operation variable needs to be combined.

[0085] Step S322: If there is no intermediate transition point in a certain reference node, it indicates that the increment of the operation variable is too large, and the increment needs to be re-divided.

[0086] In order to illustrate the rationality of this evaluation method, it is necessary to discuss the influence mechanism of the operation time of the intermediate transition point on the control target, and the schematic diagram is as follows: Figure 3 and Figure 4 wherein, Figure 3 represents the intermediate transition point under low discrete precision, Figure 4 represents the intermediate transition point under high discrete precision. From Figure 3 and Figure 4 it can be seen that the operation variable trajectory u * is the optimal trajectory under ideal conditions. In order to facilitate the operation of the operator, the optimal operation variable trajectory is discretized into a control parameter sequence When the discrete precision is higher, the control parameter sequence can better approximate the ideal operation variable trajectory, Figure 3 and Figure 4 the area of the shaded part in the above two figures can represent the optimization error caused by discretization. Within the operation variable 0~e, if it is divided into two increments, the discretization error is reduced. Note that the total operation time within 0~e is unchanged, i.e. the average growth rate of the operation variable does not change. By re-dividing the operation variable increment through the operation time, it is not to reduce the change rate of the increment, but to improve the precision of the discretization. The intermediate transition points with low precision (long operation time) are subdivided, and the intermediate transition points with high precision (short operation time) are combined.

[0087] ​For the problem of how to re-divide the operation variable increment, the application proposes the following measures: for the case that there is no intermediate transition point in a certain reference node, i.e. a certain intermediate transition point spans h reference nodes, then it will be divided into h intermediate transition points on the parameter axis; for the case that there are multiple intermediate transition points in a certain reference node, i.e. g intermediate transition points are distributed in a reference node, then the g intermediate transition points are combined into one intermediate transition point.

[0088] Step S33: Continue to optimize the operation time of each intermediate transition point based on the operation value re-adjusted in step S32.

[0089] Step S4: If one intermediate transition point is uniformly distributed in each reference node, stop optimization, and the set of intermediate transition points is the optimal intermediate transition point, otherwise continue to repeat step S3.

[0090] Step S41: The optimization termination condition is that there is and only one intermediate transition point in each node, if the termination condition is not met, continue to repeat step S3;

[0091] Step S42: If the termination condition is met, stop optimization, and the set of intermediate transition points is the optimal intermediate transition point.

[0092] This re-division of the operation variable increment cannot guarantee that the control parameter sequence obtained by re-optimization calculation meets the termination condition at one time, so multiple rounds of solving may be required until the termination requirement is met.

[0093] Based on the same principle of the application, the application also provides an operation system for ensuring the safety and quality control of a petrochemical enterprise process, Figure 5 A schematic diagram of an operation system for ensuring the safety and quality control of a petrochemical enterprise process according to the application is shown in Figure 5As shown, the system comprises: an intermediate transition point division module 201, configured to divide K intermediate transition points according to the variation range of the operation variable from the current working condition to the target working condition and the overall adjustment time, as reference nodes of a subsequent optimization problem; an optimal operation time acquisition module 202, configured to take the divided intermediate transition points as initial values, take the operation values of the intermediate transition points as standards, and adopt a dynamic optimization method to optimize the dynamic model of the production process to obtain the optimal operation time of each intermediate transition point; an optimal operation time optimization module 203, configured to judge whether the intermediate transition points obtained in the previous step are evenly distributed in each reference node according to the reference nodes divided by the intermediate transition point division module, and if there are multiple intermediate transition points in a reference node or no intermediate transition point in a reference node, the optimal operation time of each intermediate transition point needs to be further optimized; and an optimal intermediate transition point judgment module 204, configured to stop optimization if one intermediate transition point is evenly distributed in each reference node, and the set of intermediate transition points is the optimal intermediate transition point, otherwise, the reference node judgment module is repeatedly continued.

[0094] Based on the same inventive concept, the application also provides an electronic device, Figure 6 A schematic diagram of the electronic device provided by the application is shown in Figure 6 As shown, the electronic device comprises at least one processor 301, at least one communication interface 302, at least one memory 303 and at least one communication bus 304; wherein the processor 301, the communication interface 302 and the memory 303 complete mutual communication through the communication bus 304;

[0095] The memory 303 stores a computer program;

[0096] The processor 301 is configured to execute the program stored in the memory 303 to implement the operation method for ensuring the process safety and quality control of the petrochemical enterprise.

[0097] Optionally, the communication interface can be the interface of the communication module, such as the interface of the GSM module; the processor can be a processor CPU, or a specific integrated circuit ASIC (Application Specific Integrated Circuit), or one or more integrated circuits configured to implement the embodiments of the application. The memory can include a high-speed RAM memory, and can also include a non-volatile memory, such as at least one disk memory. The memory stores a program, and the processor calls the program stored in the memory to execute part or all of the method embodiments described above.

[0098] Based on the same inventive concept, the present application also provides a computer readable storage medium storing a computer program, which, when executed, implements some or all of the method embodiments described above. Optionally, the storage medium can be a non-transitory computer readable storage medium, for example, the non-transitory computer readable storage medium can be a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, and an optical data storage device, etc.

[0099] Finally, it should be noted that: the above only for the preferred embodiments of the present application, and not for limiting the present application, although the foregoing embodiments of the present application are described in detail, for those skilled in the art, it still can be modified, or part of the technical features of the equivalent replacement, within the spirit and principles of the present application, any modification, equivalent replacement, improvement, etc., should be included within the scope of the present application.

Claims

1. An operational method for ensuring process safety and quality control in petrochemical enterprises, characterized in that, The method includes the following steps: Step S1: Divide the operating variables from the current working condition to the target working condition into K intermediate transition points evenly based on the overall adjustment time, and use them as reference nodes for subsequent optimization problems; Step S2: Using the predefined intermediate transition points as initial values ​​and the operational values ​​of the intermediate transition points as standards, the dynamic model of the production process is optimized using a dynamic optimization method to obtain the optimal operation time for each intermediate transition point. Step S3: Based on the reference nodes divided in Step S1, determine whether the intermediate transition points obtained in the previous step are evenly distributed within each reference node. If there are multiple intermediate transition points within a reference node or no intermediate transition points within a reference node, then the optimal operation time for each intermediate transition point needs to be further optimized. Step S4: If an intermediate transition point is evenly distributed within each reference node, then stop the optimization. This group of intermediate transition points is the optimal intermediate transition point. Otherwise, continue to repeat step S3.

2. The operational method for ensuring process safety and quality control in petrochemical enterprises according to claim 1, characterized in that, Step S1 specifically includes: Step S11: Determine the range of change of the operating variables and the overall adjustment time based on the changes from the current operating condition to the target operating condition; Step S12: Based on the principle of balanced partitioning of the time network and equal growth of the operation variables, K intermediate transition points are evenly divided as reference nodes for subsequent optimization problems.

3. The operating method for ensuring process safety and quality control in petrochemical enterprises according to claim 1 or 2, characterized in that, Step S2 specifically includes: Step S21: Establish a dynamic model of the production process; the expression of the dynamic model is as follows: In the formula, f[x(t), u(t), t] represents the state equation of the production process; Let x(t) represent the derivative of x(t); u(t) represent the manipulated variable, i.e., the control variable; u(t0) represent the manipulated variable of the current operating condition; u(t) f x(t) represents the operational variable of the target operating condition; x(t) represents the state variable; x(t0) represents the state variable of the current operating condition; x(t) represents the operational variable of the target operating condition. f ) represents the state variables of the target operating condition; the superscripts t0 and t f These represent the steady-state values ​​under the current and target operating conditions, respectively. Step S22: Using the initial intermediate transition points defined in Step S21 as initial values, and the operation values ​​of the intermediate transition points as standards, optimize the calculation of the operation time for each intermediate transition point: In the formula, J represents the performance index (also known as the objective function); Let L represent the integral performance index; L be a continuously differentiable function of x(t) and t; the operand value at the intermediate transition point is the value of the operand u(t), and the operand time at the intermediate transition point is the duration of u(t)'s action, which can be expressed in detail as follows: u(t)=[u1(t) u2(t) ... u l (t) ... u M (t)] T ; In the formula, u l (t) represents the l-th operation variable, T m Indicates a discrete period; n k T m t represents the operation time of the kth intermediate transition node; k-1 and t k Indicates the start and end times of the kth intermediate transition point; t N The end time of the adjustment process is represented by t. f ; Step S23: Find the interval [t0, t] f The optimal operation time t for each intermediate transition point within the range k-1 and t k This causes the state variable x(t) to change from the initial state. Transition to terminal state And make the objective function J reach its extreme value.

4. The operational method for ensuring process safety and quality control in petrochemical enterprises according to claim 2, characterized in that, Step S3 specifically includes: Step S31: Using the initial intermediate transition points divided in step S12 as reference nodes, determine whether the optimized intermediate transition points obtained in the previous step fall evenly within each reference node. Step S32: If the optimized intermediate transition points do not fall evenly within each reference node, measures will be taken to redistribute the increments of the operational variables. Step S33: Using the adjusted operation values ​​from step S32 as the standard, continue to optimize the calculation of the operation time for each intermediate transition point.

5. The operational method for ensuring process safety and quality control in petrochemical enterprises according to claim 4, characterized in that, Step S32 specifically includes: Step S321: If there are multiple intermediate transition points within a certain reference node, it indicates that the operations within that node segment are too frequent, and the increments of the operation variables need to be merged. Step S322: If there is a case where there is no intermediate transition point within a certain reference node, it means that the increment of the operation variable is too large, and the increment needs to be re-divided.

6. The operational method for ensuring process safety and quality control in petrochemical enterprises according to claim 1, characterized in that, Step S4 specifically includes: Step S41: The optimization termination condition is that there is one and only one intermediate transition point in each segment node. If the termination condition is not met, continue to repeat step S3. Step 42: If the termination condition is met, stop the optimization. The intermediate transition point of this group is the optimal intermediate transition point.

7. An operating system for ensuring process safety and quality control in petrochemical enterprises, characterized in that, The system includes: The intermediate transition point division module is used to evenly divide K intermediate transition points based on the range of change of the operating variable from the current working condition to the target working condition and the overall adjustment time, which serve as reference nodes for subsequent optimization problems. The optimal operation time acquisition module is used to optimize the dynamic model of the production process using the predefined intermediate transition points as initial values ​​and the operation values ​​of the intermediate transition points as standards, thereby obtaining the optimal operation time for each intermediate transition point. The optimal operation time optimization module is used to determine whether the intermediate transition points obtained in the previous step are evenly distributed within each reference node based on the reference nodes divided by the intermediate transition point division module. If there are multiple intermediate transition points within a reference node or no intermediate transition points within a reference node, the optimal operation time of each intermediate transition point needs to be further optimized. The optimal intermediate transition point determination module is used to stop optimization if an intermediate transition point is evenly distributed within each reference node, and this group of intermediate transition points is the optimal intermediate transition point; otherwise, the reference node determination module is repeated.

8. An electronic device, characterized in that, include: One or more processors; Storage device for storing one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the operating method for ensuring process safety and quality control in petrochemical enterprises as described in any one of claims 1-6.

9. A storage medium containing computer-executable instructions, characterized in that, The computer-executable instructions, when executed by a computer processor, are used to perform the operational methods as described in any one of claims 1-6 for ensuring process safety and quality control in petrochemical enterprises.

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