System Success Path Planning Method, System, Device and Medium for Target Function Implementation

Abstract

The present invention discloses a method, a system, an electronic device and a storage medium for system successful path planning oriented to target function realization. The method includes: determining a task target according to the system function target and the current system operation state; determining the manipulation task response requirements according to the task target and the monitoring of the system function target parameters; generating a structured system successful path along the system structure flow direction; combining the coupling and interaction relationship between the device state and the process parameters, and performing reverse reasoning to achieve a detailed planning of the device manipulation actions, further forming a serialized system successful path; and finally completing the optimization sorting display of the potential system successful paths on the human-machine interface through comprehensive evaluation of task complexity and reliability, so as to assist and guide the operator to perform effective emergency operation responses.

Description

Technical Field

[0001] The present invention belongs to the field of industrial system safety analysis, and particularly relates to a system successful path planning method, system, electronic device and storage medium for realizing target functions. Background Art

[0002] The safety of high-risk industrial systems (such as offshore natural gas and oil extraction, petrochemical industry, offshore floating nuclear power platforms, maritime shipping, etc.) has always attracted much attention. Once an accident occurs, it will cause serious social, economic, personal safety and environmental hazards. In addition, the system devices usually operate in extremely harsh environments with changing operating conditions and lack an effective technical support center. In the face of extremely unfamiliar operating environments or emergency accident scenarios, there is often a lack of effective operating procedure guidelines. At this time, the operator team usually faces multiple loads such as mental, cognitive and operation, which is prone to human errors and exacerbates the harmful consequences of accidents. The lessons learned from the Fukushima nuclear power accident in Japan in 2011 once again show that even under the premise of high design standards, high operating safety specifications and multi-layered in-depth defense guarantees, unexpected events may still occur under extreme environments and operating conditions and exceed the existing system safety protection, accident mitigation and response capabilities. Especially in the absence of systematic procedure guidelines, how to take appropriate emergency response measures to regulate and restore the system device to a safe operating state is the key to effectively curbing the spread and development of sudden accidents.

[0003] At present, the research on task and motion planning mainly focuses on fields such as pattern recognition, artificial intelligence, intelligent robots, etc. The main methods include goal-oriented reasoning and task planning, path planning algorithms, etc. However, there is relatively little research on process industry safety, especially on emergency tasks and control action planning for unexpected events under extreme operating environment conditions. Relevant emergency response decisions mostly remain at the policy and management levels and lack systematic technical guidance support. Summary of the Invention

[0004] In order to solve the above deficiencies of the prior art, the present invention provides a system successful path planning method, system, electronic device and storage medium for realizing target functions for large and complex industrial process systems under extremely unfamiliar operating environments and without procedure guidelines. The method realizes task planning through continuous supervision of system function target parameters, and based on knowledge base reasoning, obtains a set of successful paths of manipulation action sequences, thereby providing decision support for emergency safety responses to unexpected events and ensuring the safety of the process system.

[0005] The first object of the present invention is to provide a system successful path planning method for realizing target functions.

[0006] The second object of the present invention is to provide a system success path planning system for realizing target functions.

[0007] The third object of the present invention is to provide an electronic device.

[0008] The fourth object of the present invention is to provide a storage medium.

[0009] The first object of the present invention can be achieved by adopting the following technical solutions:

[0010] A method for planning a system success path for realizing a target function, the method comprising:

[0011] According to the system design specification, extract the system function objectives; around the system function objectives, list and solve the task objectives according to the system operating conditions and task requirements to realize the construction of the system function-task objective tree structure;

[0012] Based on the composition of the system process structure, decompose the system process structure, sort out the external physical connection relationships between devices, and construct a system device relationship database with a single device as an independent node module;

[0013] Through the analysis of the interaction effects between the system device control actions, device states and process parameters, establish a causal relationship model between the device and the process, and construct an inference relationship database based on this;

[0014] According to the system process online monitoring data, clarify the functional task objectives; according to the requirements of the functional task objectives, determine the manipulation tasks and control modes;

[0015] Based on the task objectives and the system device relationship database, according to the "source + driving force + regulator + sink + support system" functional combination input mode, determine the potential system structure flow paths for realizing the established functional objectives;

[0016] Based on the potential system structure flow paths and the inference relationship database, according to the real-time online monitoring data, inversely infer the control actions of the system devices to generate a set of system success paths based on flow direction guidance;

[0017] According to the set of system success paths, optimize and sort the control actions with reference to the existing operating procedures, simulation analysis and engineering experience to obtain a serialized system success path;

[0018] According to the system success path, taking the complexity and reliability of the manipulation tasks as measurement indexes, complete the effective performance analysis of the system success path, and realize the priority sorting display of the potential system success paths on the human-machine interface to guide the operator to execute the task manipulation response.

[0019] Furthermore, based on the system process structure composition, the system process structure is decomposed to sort out the external physical association relationships between devices, and a single device is used as an independent node module to construct the system device relationship database, including:

[0020] According to the system process flow chart, by decomposing the system process structure, the system structure is gradually disassembled into individual device modules along the signal flow direction, and these are used as basic device nodes and stored in the database according to device types to construct the system device relationship database; among them, the system device classification system is established according to the process performance, operating conditions, design, and functional characteristics of the devices.

[0021] Furthermore, the signal flow is a physical quantity or information;

[0022] The basic device node includes a description of the external physical connection relationships upstream and downstream of the device, where the physical structure connection relationship refers to the connection relationship between devices.

[0023] Furthermore, the inference relationship database is based on the manipulation action causality model and the process parameter causality model. Through the coupling association of process parameters, a cascading mapping relationship between "system function target state - process parameter state - device association parameter state - device manipulation action" is established to achieve path planning for the system successful manipulation action sequence, where:

[0024] The manipulation action causality model is constructed based on the interaction effects between device manipulation modes, operation actions, and their associated process parameters, reflecting the causal mapping relationship between the device state itself, manipulation behaviors, and their internal associated parameters;

[0025] The process parameter causality model determines the process parameter coupling relationship between different functional devices based on the conservation relationship between the input and output of device state parameters.

[0026] Furthermore, based on the potential system structure flow path and the inference relationship database, according to the real-time online monitoring data, the manipulation actions of system devices are inferred in reverse to generate a set of system successful paths based on flow direction guidance, including:

[0027] Abstract the device as a path node, and according to the task objective requirements, define the target monitoring point as the initial path node and conduct path planning;

[0028] Starting from the initial node, conduct a depth search for all connected device nodes according to the system device relationship database. When a new system structure flow path appears during the search process, add it to the list of potential system structure flow paths;

[0029] Select potential system structure flow paths from the list in sequence, use the target monitoring node as the current starting node of the path, and perform causal relationship reasoning between nodes and planning of device control actions according to the inference relation database to generate a set of system success paths based on flow direction guidance.

[0030] Further, the potential system structure flow path is a functional combination implementation method similar to a road set, including the essential elements for achieving the functional goal;

[0031] The attribute content of the device node includes the upstream device node, downstream device node, device reliability analysis parameters, device status, device status association parameters, control mode, and control action of the current device.

[0032] Further, the potential system structure flow path includes five elements: source, sink, driving device, regulating device, and support system, but does not involve the timing relationship between the elements.

[0033] Further, according to the system success path, using the complexity and reliability of the manipulation task as measurement indicators, complete the effective performance analysis of the system success path, and implement the priority sorting display of potential system success paths on the human-machine interface to guide the operator to execute the task manipulation response, including:

[0034] By counting the number of device control nodes on each system success path, using this as a measurement indicator of task complexity, and then optimizing the visual guidance presentation of the system success path from the perspectives of the convenience of task action execution and prevention of human error;

[0035] According to the system success path, calculate the reliability of the system success path to achieve the task goal through the system reliability analysis theory, and then optimize the visual guidance presentation of the system success path from the perspective of task reliability;

[0036] For each optimized system success path, synchronously display the control action sequence in a digital process form to guide the operator to implement the manipulation task along the success path in real time;

[0037] During the execution of the manipulation sequence, combine the manipulation applicability evaluation technology to monitor and predict in real time the changes in the reliability of the operator's manipulation action input to the manipulation task or the potential harmful effects of manipulation consequences.

[0038] The second object of the present invention can be achieved by adopting the following technical solutions:

[0039] A system success path planning system for realizing a target function, the system includes:

[0040] The system process online monitoring data interface module is used to obtain online real-time monitoring data of the system site or simulator, determine the demand direction for the restoration and regulation of the system function target state according to the functional target state of the monitoring system, and form a manipulation task target.

[0041] The database module includes a target tree database, a system device relationship database, and an inference relationship database, and is used to support the analysis of the system's successful path planning. Among them, the target tree database is used to construct the data relationship of the tree structure of the system function target - task target, the system device relationship database is used to store and access the data relationship of the physical flow structure of the system devices, and the inference relationship database is used to store and access the internal causal influence relationship of the manipulation behavior inference of the process devices.

[0042] The system successful path generation module is used to automatically generate and perform performance analysis on the manipulation action sequence path for the success of the target task according to the online real-time monitoring data and the database module.

[0043] The system successful path visualization human-machine interface display module is used to implement the prioritized display of the system successful path, and provide operation process guidance for the operator through the progressive step list display.

[0044] The third object of the present invention can be achieved by adopting the following technical solution:

[0045] An electronic device includes a processor and a memory for storing the executable program of the processor. When the processor executes the program stored in the memory, the above-mentioned system successful path planning method is implemented.

[0046] The fourth object of the present invention can be achieved by adopting the following technical solution:

[0047] A storage medium stores a program, and when the program is executed by a processor, the above-mentioned system successful path planning method is implemented.

[0048] The present invention has the following beneficial effects compared with the prior art:

[0049] 1. The method provided by the present invention is oriented to the successful realization of the system function target, and can provide a practical preselection scheme for the emergency response of nuclear power plants in complex and unfamiliar environments and emergency scenarios, thereby assisting and guiding the operator to quickly restore the system safety function and reduce the system operation risk.

[0050] 2. The method provided by the present invention incorporates the inferential analysis of the dynamic interaction effects between the control device and the controlled process on the basis of the primary planning of the system structure flow path. It can flexibly adapt to different task objective requirements such as the regulation direction (high / low), regulation range (multi-interval expression), regulation mode (manual / automatic), and regulation speed (fast / slow) of the system functional target parameters. The system successful path planning can be specific to the manipulation actions of the devices, and the refinement degree of the planning content is higher.

[0051] 3. The method provided by the present invention generates a manipulation action sequence path that combines the comprehensive consideration of the system flow structure characteristics and the feedback of engineering experience, conforms to the cognitive thinking habits of humans, and is more convenient for the operator to understand and implement the emergency response plan. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on the structures shown in these drawings.

[0053] Figure 1 It is a schematic diagram of the system successful path planning method for realizing the target function in Embodiment 1 of the present invention.

[0054] Figure 2 It is a flowchart of the system successful path generation in Embodiments 1 and 2 of the present invention.

[0055] Figure 3 It is a schematic diagram of the boron and water supply system in Embodiment 2 of the present invention.

[0056] Figure 4 It is the device relationship database table in Embodiment 2 of the present invention.

[0057] Figure 5 It is a schematic diagram of the causal relationship between device process parameters and the causal relationship between manipulation actions in Embodiment 2 of the present invention.

[0058] Figure 6 It is a schematic diagram of the visual presentation of the system successful path in Embodiment 2 of the present invention.

[0059] Figure 7 It is a block diagram of the structure of the system successful path planning system for realizing the target function in Embodiment 3 of the present invention.

[0060] Figure 8 It is a block diagram of the structure of the electronic device in Embodiment 4 of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0061] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts belong to the scope of protection of the present invention. It should be understood that the specific embodiments described are only used to explain the present application and are not used to limit the present application.

[0062] Embodiment 1:

[0063] As Figure 1 、 2 shown, this embodiment provides a method for planning the successful path of a system for achieving a target function, including:

[0064] Determine the task objective according to the system function objective and the current system operating state;

[0065] Based on the system device structure database and the system process online monitoring data, and in combination with the requirements of the task objective, initialize the target monitoring parameters and the device state parameters; wherein, the online monitoring data includes the device state and the process parameters;

[0066] Further abstract the device as a path node. The content of the device node attributes includes the upstream device node, the downstream device node, the device reliability analysis parameters, the device state, the device state association parameters, the control mode, and the control actions of the current device; according to the requirements of the task objective, define the target monitoring point as the initial path node and perform path planning;

[0067] Push the current device node onto the stack, and determine whether the current device node contains unvisited connected device nodes. If so, use the next unvisited connected device node as the current device node and repeat the traversal and search process of the device physical connection relationship; otherwise, further determine whether the device nodes in the stack are empty. If so, it means that all potential system process structure paths have been traversed; otherwise, based on the device nodes in the stack, generate a new system process structure path and store it in the list, and take out the last device node in the stack as the current device node, and repeat the above traversal and search process of the device physical connection relationship; the system process structure path is only a functional combination implementation method similar to a path set, which consists of the necessary elements for achieving the functional objective, including, for example, the source, the sink, the driving device, the regulating device, and the support system, but does not involve the timing relationship between the elements;

[0068] After searching all potential system process structure paths, determine whether the current path meets the established functional goal requirements. If so, it indicates that the currently planned system process structure path can achieve the expected functional goal; otherwise, remove the system process structure path that fails to meet the system functional goal requirements from the list.

[0069] Further determine whether the current system process structure path is the last path. If so, output the system process structure path list to the system successful path inference module; otherwise, return to traverse the next system process structure path.

[0070] Select the system process structure paths from the list in sequence, and use the functional goal node as the current starting node of the path to conduct causal relationship reasoning between nodes and planning of device control actions.

[0071] Determine whether the current device node is available. If so, based on the device-process causal relationship model library and according to the established task goal requirements, infer the control actions; otherwise, delete the current system process structure path; the device-process causal relationship model library contains the causal relationship between device control actions and process parameter changes.

[0072] Furthermore, determine whether the current device node has completed the expected control actions planned. If so, remove the current device node from the current system process structure path; otherwise, record the expected control actions of the current device node.

[0073] Further determine whether the current device node is the last node. If so, generate a system successful path; otherwise, based on the causal relationship between the relevant parameters of the upstream and downstream device nodes, infer the expected target trend requirements of the associated parameters of the next device node, and use the next device node as the current device node to repeat the control action planning process of the device node.

[0074] After completing the planning analysis of the current system successful path, further determine whether all path analyses have been completed. If so, output all potential system successful paths; otherwise, jump to the next system process structure path and conduct reasoning analysis.

[0075] Optimize and sort the operation actions with reference to existing operating procedures, simulation analysis, and engineering experience to obtain a serialized system successful path.

[0076] Based on the generated system successful path set, using task complexity, task reliability, and multi-objective achievement degree as measurement indicators, comprehensively evaluate the effective performance of different system successful paths, and provide a reference basis for the visual presentation of the optimal sorting of the system successful path set.

[0077] The system success path evaluation method based on task complexity measures the task complexity by counting the number of equipment control nodes on each path, and then optimizes the visual guidance presentation of the system success path from the perspectives of the convenience of task action execution and prevention of human error.

[0078] The system success path evaluation method based on task reliability calculates the reliability of the system success path in achieving the task objective through system reliability analysis theory, and then optimizes the visual guidance presentation of the system success path from the perspective of task reliability.

[0079] The system success path evaluation method based on multi-objective achievement combines forward causal reasoning of the system function model to predict the harmful consequences of different success paths on multi-functional objectives, and evaluates the comprehensive effectiveness and visual guidance presentation of different success paths through multi-objective collaborative optimization.

[0080] For each optimized system success path, the manipulation action sequence is synchronously displayed in a digital process form to guide the operator to perform the manipulation task along the success path in real time. During the execution of the manipulation sequence, the manipulation applicability evaluation technology can be combined to monitor and predict in real time the immediate changes or potential harmful effects of the operator's actual operation action input on the reliability of the manipulation task.

[0081] Embodiment 2:

[0082] This embodiment will take the response of the Reactor Boron and Water Make-up System (REA) under a minor boron dilution accident in a nuclear power plant as an example to specifically illustrate a system success path planning method for target function realization provided by the present invention.

[0083] Accident scenario assumption: Assume that a minor boron dilution accident (boric acid concentration drops less than 50 ppm) occurs during the normal operation of a nuclear power plant. After the accident, a high neutron flux is detected in the reactor. At this time, the boron dilution process should be terminated in time, and the normal recovery of the boric acid concentration of the reactor coolant should be achieved through the Reactor Boron and Water Make-up System.

[0084] System function target extraction: The Reactor Boron and Water Make-up System, as an important auxiliary support system for the chemical and volume systems, mainly realizes the following safety function targets: 1) reactivity control; 2) volume control; 3) chemical control.

[0085] Task target determination: Under the boron dilution accident, the boric acid concentration of the reactor coolant decreases, resulting in an increase in the reactivity of the reactor and an abnormal state of the reactivity control safety function target. To eliminate the impact of the boron dilution accident on the reactivity of the reactor, the system task target is determined to be manual boron make-up, that is, to restore the boric acid concentration of the reactor coolant to the normal level through manual control.

[0086] Construction of the equipment relationship database: Based on the system function structure and equipment composition, establish the system equipment relationship database. The boron and water supply system structure consists of two parts, namely the boric acid supply pipeline and the demineralized and deaerated water supply pipeline. The demineralized and deaerated water and the boric acid solution respectively flow into the mixing pipeline through different channels, and then enter the volume control tank RCV002BA through the pneumatic isolation valve RCV154VP. Finally, it is transported to the reactor coolant system through the charging pump in the chemical and volume control system (RCV) to achieve the system function goal. In this embodiment, since only the influence of the operator's manual operation on the boric acid concentration (manual boric acid supply) is considered, the components that cannot be operated in the system or have no influence on the boric acid concentration during actual operation are ignored, and only the key control and execution equipment in the system are considered.

[0087] The composition of the system equipment and the physical connection relationship between the equipment are obtained from the system flow chart design data. As Figure 3 shown, the main equipment components of the boron and water supply system include a demineralized and deaerated water storage tank, a boric acid solution storage tank, a chemical mixing tank, a demineralized and deaerated water pump, a boric acid solution transfer pump, a pneumatic isolation valve, a manual isolation valve, an electric isolation valve, an electric control valve, a pneumatic control valve, a manual isolation valve, a check valve and related pipelines. According to the system equipment function structure and operation design characteristics, the above system equipment is generally divided into three categories: tanks / vessels, pumps, and valves, and further subdivided into equipment subcategories according to different equipment operation methods, as shown in Table 1.

[0088] Table 1 System Equipment Classification List

[0089]

[0090]

[0091] According to the system equipment composition in Table 1, divide the equipment types, define the equipment status; establish the upstream and downstream physical connection relationship between the equipment according to the system process flow chart; determine the control mode and control actions of the system equipment, and collect the reliability parameters of the equipment; fill in the attribute information such as equipment number, equipment name, equipment control mode and status description, equipment control actions, current equipment status, equipment reliability parameters, upstream and downstream equipment numbers and equipment types through text description or digital coding into Figure 4 the equipment relationship database table shown.

[0092] Construction of the causal reasoning relationship database: Based on the input-output conservation relationship of the equipment state parameters and the coupling relationship between different system process parameters, establish the causal reasoning relationship database between equipment operation and process interaction. Figure 5The manipulation causal relationships and process parameter causal relationships of typical common general equipment are given. The following briefly describes some of the equipment manipulation causal relationships and process parameter causal relationships involved in this embodiment:

[0093] Construction of the manipulation action causal relationship model: Based on the interaction effects among the equipment control modes, operation actions, and their associated process parameters, a manipulation action causal relationship model is established. For most system equipment, its state is a discrete physical quantity, usually including fully open, fully closed, half open / half closed, etc. However, there are also special equipment such as control valves, whose state quantity is continuously adjustable and is a continuous state representation. In practical applications, for the convenience of dividing and defining the states of system physical equipment, equipment with continuous state representations such as control valves is usually processed into discrete equipment with finite states. For example, the valve state remains unchanged, the valve opening increases, or the valve opening decreases. Based on this, all system equipment in this embodiment is uniformly divided into two states or three states to further establish the action effects between manipulation actions and equipment states and their associated parameter changes.

[0094] Whether it is a two-state division or a three-state division, the change of equipment state and the resulting change of equipment state parameters can be determined according to the initial state, control mode, and action of the equipment, thereby establishing a causal relationship model among equipment control actions, equipment states, and process parameters. For example, assume that the initial state of a two-state equipment is the fully closed state. At this time, the operator opens the valve, and the valve state changes from closed to open, and the flow rate increases, and vice versa.

[0095] In this embodiment, tank / cabinet equipment belongs to non-action components and does not need to be manipulated. However, when used as a source component, the system successful path planning needs to first confirm whether its container capacity meets the available function requirements.

[0096] Isolation valves can be divided into manual isolation valves, electric isolation valves, and manual / electric isolation valves according to their different driving methods, that is, the control mode of the equipment can be manual control mode, automatic control mode, or manual / automatic integrated control mode; the equipment states are divided into fully open and fully closed, and the opening and closing actions of the equipment correspond to high and low flow rates through the valve, respectively.

[0097] The control mode of the control valve is similar to that of the isolation valve, including manual control mode, automatic control mode, or manual / automatic integrated control mode. However, different from the isolation valve, the control valve is a continuous state expression, and the opening of the control valve can be freely adjusted from 0% (fully closed) to 100% (fully open) by percentage. Therefore, in practical applications, the control valve state is divided into three types: the valve state remains unchanged, the valve opening increases, and the valve opening decreases. Based on the current valve state, the operation action performed by the operator changes the opening of the valve, which is reflected as a gradual change in the process parameters.

[0098] The check valve is a one-way conduction component, mainly functioning to prevent the reverse flow of the medium. When the direction of the medium flow is consistent with the designed flow direction of the check valve, the valve position is in the fully open state; on the contrary, the check valve is in the fully closed state. Similarly, in this embodiment, the check valve is regarded as a non-operating component and does not require manual operation by the operator.

[0099] The operating states of the three-way valve include opening one side outlet, opening the other side outlet, and the valve being completely closed. The control action of the three-way valve is a kind of linkage effect and influence relationship. When the three-way valve opens or closes one of the outlet pipes, the other outlet pipe immediately changes to the closed or open state, or the entire three-way valve is completely closed. When one outlet pipe of the three-way valve is open and the other outlet pipe is closed, the three-way valve at this time is equivalent to an open ordinary isolation valve, and it is considered that the relationship expression between its state and the flow rate is the same as that of the isolation valve, that is, as the valve opening continuously increases, the inlet flow rate F in flowing through the valve out and the outlet flow rate F

[0100] Pump equipment can be either a two-state (on / off) or a three-state (fully open / half open / fully closed) unit. The control modes of pump equipment generally include two types: manual control mode and automatic control (electric control / pneumatic control) mode. Before confirming the equipment control mode, it is necessary to first confirm the available state of the equipment. When the pump changes from the off state to the on state or from the half-open state to the fully open state, the flow rate through the pump increases; on the contrary, when the pump changes from the on state to the off state or from the half-open state to the fully closed state, the flow rate of the pump decreases to 0.

[0101] As Figure 5 shown, based on the action and influence relationship between the operation action and the equipment state parameters, establish the equipment operation action causality library of the boron and water supply system, and complete the design of the inference relationship database table.

[0102] The content of the data structure of the equipment operation causality model includes the equipment type number, the equipment action number, the initial state of the equipment, and the influence trend of the equipment state parameters. Among them, 1 in the parameter change trend represents that the operator's operation action has a positive influence on the equipment state and its associated parameters, 0 represents no influence, and -1 represents a negative influence.

[0103] Construction of the process parameter causality model: Based on the conservation relationship between the input and output of the equipment state parameters, further determine the process parameter coupling relationship between different functional equipment. The construction of the process parameter causality model is carried out in two steps: (1) Determine the mathematical relationship expression model between the input and output of the single equipment state parameters; (2) Establish the process parameter coupling influence relationship between different functional equipment, where:

[0104] (1) Influence relationship between input and output of equipment status parameters.

[0105] The influence relationship between the input and output of equipment status parameters is obtained through the analysis of the characteristics of the equipment function structure (the number of input-output pipe orifices) and the reasoning of the principles of conservation of matter, energy, and information. The following is an illustration of the mathematical relationship expression models between the input and output of the three main types of equipment status parameters in this embodiment.

[0106] a) Tank / container equipment.

[0107] Tank / container equipment is usually an unmanipulable container that functions as a medium storage or balance. Depending on the different functions of the tank / container equipment, the mathematical relationship expressions of its input and output are different.

[0108] If the tank / container equipment realizes the source function (no input end, only one output end), such as a water supply tank, the relationship between the input / output flow rate and the volume change satisfies: F out = dV / dt.

[0109] If the tank / container equipment realizes the storage function (allowing multiple inputs and outputs), such as a volume control tank, the relationship between the input / output flow rate and the volume change satisfies: ∑F out -∑F in = dV / dt.

[0110] In the formula, F in and F out respectively represent the inlet flow rate and the outlet flow rate of the tank / container equipment, and dV / dt represents the change in volume over time.

[0111] b) Pump equipment.

[0112] Pump equipment is usually treated as a single-input and single-output transport device, mainly realizing the function of material transportation. The relationship between its input and output satisfies: F out = F in .

[0113] c) Valve equipment.

[0114] There are many subcategories of valve equipment, and it needs to be discussed case by case. Generally, valve equipment (isolation valve, control valve) usually only has one input and one output. At this time, the relationship between the input and output of the equipment satisfies F out = F in .

[0115] However, different from ordinary valves, the check valve is a conductive component. When the direction of the medium flow is the same as the designed flow direction of the check valve, the check valve is in the fully open state. At this time, the input and output of the check valve satisfy: F out = F in; while when the medium flows reversely, the check valve is in the closed state at this time, without flow output, which is equivalent to an obstruction function, satisfying F out = 0.

[0116] The three-way valve includes an inlet nozzle, two outlet nozzles. Different from ordinary valves, an additional outlet is added at the bottom of the three-way valve. By controlling the position of the valve core, it can be used to change the flow direction of the medium. During the working process of the three-way valve, usually one of the pipelines is closed and the other pipeline is opened. At this time, it is equivalent to an ordinary single-input single-output valve, satisfying: F in = F out1 + F out2 (F out1 and F out2 cannot be non-zero values at the same time or F out1 = F out2 = 0).

[0117] (2) Process parameter coupling influence relationship.

[0118] The process parameter coupling influence relationship is derived through the upstream and downstream connection relationships of the equipment and the principles of conservation of matter, energy, and information. For example, for a single-input single-output pipeline equipment, the inlet of the downstream equipment is usually the outlet of the upstream equipment, and the outlet of the downstream equipment is the inlet of its downstream equipment. According to the law of conservation of matter, energy, and information, the outlet parameters of the upstream equipment are equal to the inlet parameters of the downstream equipment. Similarly, the inlet parameters of the upstream equipment are equal to the outlet parameters of its upstream equipment. The process parameter coupling relationship between multi-input multi-output pipeline equipments can be obtained through similar principles.

[0119] Table 2 summarizes the causal relationships of process parameters between general types of equipments in this embodiment. The influence of state parameters between equipments is represented by digital coding, where 1 represents a positive influence, 0 represents no influence, and -1 represents a negative influence. For example, the height of the water level value in the upstream tank has no influence on the flow rate of the downstream pump or valve; while the flow rate of the downstream pump or valve has a negative influence on the water level in the upstream tank, that is, the higher the flow rate, the faster the water level value drops, and vice versa, the slower the water level value drops. The mutual influence relationships between other types of equipments can be obtained through similar analyses.

[0120] Table 2 Mutual influence of process parameters between equipments

[0121]

[0122] Successful path planning: The successful path planning of the system is achieved in two steps, corresponding to structured successful path planning and serialized successful path planning respectively.

[0123] Structured Success Path Planning: Based on the equipment relationship database, determine the structured success path of the system according to the functional combination of "source + driving force + regulator + trap + support system".

[0124] Table 3 lists the key functional element compositions required for the boron and water supply system during the boron supply task. For this embodiment, the starting point of the system success path is from the boric acid solution storage tank and the end point is at the inlet of the RCV charging pump. The driving equipment includes the boric acid solution transfer pump, and the regulating equipment includes the electric control valve and the pneumatic control valve. The support system mainly includes the power system and the air compression system.

[0125] After determining the key functional element compositions of the system success path, according to the upstream and downstream connection relationships of the system equipment in the equipment relationship database, start from the target monitoring node and search backward for continuous pipelines that meet the above functional combination conditions, and use this as the system structure flow path. The system success path generation algorithm is shown in Figure 2 . According to the equipment pipeline combination search, this embodiment obtains a total of 18 potential success paths for REA boron supply, which can be further divided into three categories: normal flow path, emergency boration flow path, and direct boration flow path.

[0126] Table 3 Key Functional Element Compositions of the REA Boron Supply Success Path

[0127]

[0128]

[0129] Serialized Success Path Planning: Based on the structured success path of the system obtained from the functional combination, combined with the reverse reasoning analysis of the equipment control actions, further determine the sequence of control actions to form a serialized success path set. In order to better fit the actual application scenario and simplify the case analysis, in this embodiment, it is assumed that the boric acid transfer pump REA003PO and the manual isolation valve REA205VB on the emergency boration pipeline suddenly fail and cannot be manually opened during the execution of the system success path planning. The control sequence of the system equipment is executed in the direction of the material flow in turn, and finally 6 available serialized success paths are obtained.

[0130] Optimized Sorting Display of the Success Path Set: Use the number of control nodes to be executed on each success path as the task complexity measurement index and the reliability of the success path to achieve the system function goal, and perform optimal sorting on the potential success paths, as shown in Figure 6 shown.

[0131] Those skilled in the art can understand that all or part of the steps in the method of implementing the above embodiments can be completed by instructing relevant hardware through a program, and the corresponding program can be stored in a computer-readable storage medium.

[0132] It should be noted that although the method operations of the above embodiments are described in a specific order in the drawings, this does not require or imply that these operations must be performed in that specific order, or that all the operations shown must be performed to achieve the desired result. On the contrary, the depicted steps can be changed in the order of execution. Additionally or alternatively, certain steps can be omitted, multiple steps can be combined into one step for execution, and / or one step can be decomposed into multiple steps for execution.

[0133] Embodiment 3:

[0134] As Figure 7 shown, this embodiment provides a system success path planning system for target function realization. The system includes a system process online monitoring data interface module 701, a database module 702, a system success path generation module 703, and a system success path visualization human-machine interface display module 704, where:

[0135] The system process online monitoring data interface module 701 is used to obtain online real-time monitoring data of the system site or simulator, determine the demand direction for system function target state restoration and regulation according to the monitoring system function target state, and form a manipulation task target.

[0136] The database module 702 includes a target tree database, a system device relationship database, and an inference relationship database, and is used to support system success path planning analysis. Among them, the target tree database is used to construct the tree structure data relationship of the system function target - task target, the system device relationship database is used to store and access the physical flow structure data relationship of the system devices, and the inference relationship database is used to store and access the internal causal influence relationship of the process device control behavior inference.

[0137] The system success path generation module 703 is used to automatically generate and perform performance analysis on the manipulation action sequence path for target task success according to the online real-time monitoring data and the database module.

[0138] The system success path visualization human-machine interface display module 704 is used to implement the priority sorting display of the system success path, and provide an operation process guide for the operator through a progressive step list display.

[0139] For the specific implementation of each module in this embodiment, reference can be made to Embodiment 1 above, and details will not be repeated here. It should be noted that the device provided in this embodiment is only illustrated by the above division of each functional module. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure can be divided into different functional modules to complete all or part of the functions described above.

[0140] Embodiment 4:

[0141] This embodiment provides an electronic device, which may be a computer. Figure 8 As shown, a processor 802, a memory, an input device 803, a display 804 and a network interface 805 connected via a system bus 801 are provided. The processor is used to provide computing and control capabilities. The memory includes a non-volatile storage medium 806 and an internal memory 807. The non-volatile storage medium 806 stores an operating system, a computer program and a database. The internal memory 807 provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. When the processor 802 executes the computer program stored in the memory, the system successful path planning method of the above-mentioned embodiment 1 is implemented as follows:

[0142] Extract system functional objectives according to the system design specification; around the system functional objectives, list the task objectives according to the system operating conditions and task requirements to realize the construction of the system function-task objective tree structure;

[0143] Based on the system process structure, the system process structure is decomposed, the external physical relationship between the devices is sorted out, and a single device is used as an independent node module to build a system device relationship database;

[0144] By analyzing the interactive impact between system equipment control actions, equipment status and process parameters, a causal relationship model between equipment and process is established, and an inference relationship database is constructed based on this model.

[0145] According to the online monitoring data of the system process, the functional task objectives are clarified; according to the functional task objective requirements, the control tasks and control modes are determined;

[0146] Based on the mission objectives and system equipment relationship database, the potential system structure flow path to achieve the established functional objectives is determined according to the "source + driving force + regulator + sink + support system" functional combination investment mode;

[0147] Based on the potential system structure flow path and reasoning relationship database, according to the real-time online monitoring data, reverse reasoning is performed to obtain the control actions of the system equipment, and a set of successful system paths based on flow direction guidance is generated;

[0148] According to the system success path set, the control actions are optimized and sorted with reference to the existing operating procedures, simulation analysis and engineering experience to obtain the serialized system success path;

[0149] According to the system success path, the complexity and reliability of the control task are used as measurement indicators to complete the effective performance analysis of the system success path, and the potential system success path is prioritized and displayed on the human-machine interface to guide the operator to perform the task control response.

[0150] Example 5:

[0151] This embodiment provides a storage medium, which is a computer-readable storage medium storing a computer program. When the computer program is executed by a processor, the system successful path planning method of Embodiment 1 above is implemented as follows:

[0152] Extract the system function objectives according to the system design specification; around the system function objectives, list and solve the task objectives according to the system operating conditions and task requirements to construct the system function-task objective tree structure;

[0153] Based on the composition of the system process structure, decompose the system process structure, sort out the external physical association relationships between devices, and construct the system device relationship database with a single device as an independent node module;

[0154] By analyzing the interaction effects between the system device control actions, device states, and process parameters, establish a causal relationship model between the device and the process, and construct an inference relationship database based on this;

[0155] Based on the system process online monitoring data, clarify the functional task objectives; according to the requirements of the functional task objectives, determine the manipulation tasks and control modes;

[0156] Based on the task objectives and the system device relationship database, determine the potential system structure flow path to achieve the established functional objectives according to the "source + driving force + regulator + sink + support system" functional combination input mode;

[0157] Based on the potential system structure flow path and the inference relationship database, reverse-infer the control actions of the system devices according to the real-time online monitoring data to generate a set of system successful paths based on the flow direction guidance;

[0158] According to the set of system successful paths, optimize and sort the control actions with reference to the existing operating procedures, simulation analysis, and engineering experience to obtain the serialized system successful paths;

[0159] According to the system successful paths, take the complexity and reliability of the manipulation tasks as measurement indicators, complete the effective performance analysis of the system successful paths, and implement the priority sorting display of the potential system successful paths on the human-machine interface to guide the operator to execute the task manipulation response.

[0160] It should be noted that the computer-readable storage medium of this embodiment can be a computer-readable signal medium, a computer-readable storage medium, or any combination of the two. A computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the above. More specific examples of the computer-readable storage medium can include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0161] As mentioned above, the above is only a preferred embodiment of the present invention patent, but the protection scope of the present invention patent is not limited thereto. Any person skilled in the art within the scope disclosed by the present invention patent, according to the technical solution and inventive concept of the present invention patent, makes equivalent substitutions or changes, all belong to the protection scope of the present invention patent.

Claims

1. A method for system success path planning oriented to target function implementation, characterized in that The method includes the following steps: Extract the system function objectives according to the system design specification; around the system function objectives, list and solve the task objectives according to the system operating conditions and task requirements, and construct the system function-task objective tree structure; Based on the composition of the system process structure, decompose the system process structure, sort out the external physical association relationships between devices, and construct the system device relationship database with a single device as an independent node module; Through the analysis of the interaction effects among the system device control actions, device states and process parameters, establish a causal relationship model between the device and the process, and construct an inference relationship database based on this; the inference relationship database is based on the causal relationship models of the manipulation actions and process parameters, and through the coupling association of the process parameters, establish a cascaded mapping relationship between "system function objective state - process parameter state - device association parameter state - device control action", so as to realize the path planning of the system successful control action sequence. Among them, the causal relationship model of the manipulation action is constructed based on the interaction effects among the device control mode, operation action and their associated process parameters, and reflects the causal mapping relationship between the device state itself, the control behavior and its internal associated parameters; the causal relationship model of the process parameters determines the process parameter coupling relationship between different functional devices based on the conservation relationship between the input and output of the device state parameters; Based on the system process online monitoring data, clarify the functional task objectives; according to the requirements of the functional task objectives, determine the manipulation tasks and control modes; Based on the task objectives and the system device relationship database, determine the potential system structure flow path to achieve the established functional objectives according to the "source + driving force + regulator + sink + support system" function combination input mode; Based on the potential system structure flow path and the inference relationship database, according to the real-time online monitoring data, inversely infer the control actions of the system devices, and generate a set of system successful paths based on the flow direction guidance, including: abstract the device as a path node, according to the requirements of the task objectives, define the target monitoring point as the initial node of the path and conduct path planning; starting from the initial node, conduct a depth search for all connected device nodes according to the system device relationship database, and when a new system structure flow path appears during the search process, add it to the list of potential system structure flow paths; sequentially select the potential system structure flow paths from the list, use the target monitoring node as the current starting node of the path and conduct causal relationship reasoning between the nodes and the planning of device control actions according to the inference relationship database, and generate a set of system successful paths based on the flow direction guidance; According to the set of system successful paths, optimize and sort the control actions with reference to the existing operating procedures, simulation analysis and engineering experience to obtain a serialized system successful path; According to the system successful path, take the complexity and reliability of the manipulation task as the measurement indicators, complete the effective performance analysis of the system successful path, and realize the priority sorting display of the potential system successful paths on the human-machine interface to guide the operator to execute the task manipulation response.

2. The method for planning the system success path according to claim 1, wherein, Based on the composition of the system process structure, decompose the system process structure, sort out the external physical connection relationships between devices, and construct a system device relationship database with a single device as an independent node module, including: According to the system process flow chart, by decomposing the system process structure, gradually disassemble the system structure into individual device modules along the signal flow direction, and store them in the database as basic device nodes according to the device type to construct the system device relationship database; among them, the system device classification system is established according to the process performance, operating conditions, design and functional characteristics of the devices.

3. The system success path planning method according to claim 2, wherein The signal flow is a physical quantity or information; The basic device node includes a description of the external physical connection relationships upstream and downstream of the device, where the physical connection relationship refers to the connection relationship between devices.

4. The system successful path planning method according to claim 1, characterized in that, The potential system structure flow path is the functional combination implementation method of the path set, including the essential elements for achieving the functional goal; The attribute content of the device node includes the upstream device node, downstream device node, device reliability analysis parameters, device status, device status association parameters, control mode and control actions of the current device.

5. The method for planning the system success path according to claim 4, wherein The potential system structure flow path includes five elements: source, sink, driving device, regulating device and support system, but does not involve the timing relationship between the elements.

6. The method for system successful path planning according to any one of claims 1 to 5, characterized in that According to the system success path, using the complexity and reliability of the manipulation task as the measurement indicators, complete the effective performance analysis of the system success path, and realize the priority sorting display of the potential system success path on the human-machine interface, guiding the operator to execute the task manipulation response, including: By counting the number of device control nodes on each system success path, using this as a measurement indicator of task complexity, and then optimizing the visual guidance presentation of the system success path from the perspectives of the convenience of task action execution and prevention of human error; According to the system success path, calculate the reliability of the system success path to achieve the task goal through the system reliability analysis theory, and then optimize the visual guidance presentation of the system success path from the perspective of task reliability; For each optimized system success path, synchronously display the control action sequence in a digital process form, so as to guide the operator to implement the manipulation task along the success path in real time; During the execution of the manipulation sequence, combine the manipulation applicability evaluation technology to monitor and predict in real time the changes in the reliability of the manipulation task or the potential harmful effects of the manipulation consequences caused by the operator's manipulation action input.

7. A system success path planning system for achieving target function implementation, which is used to implement the system success path planning method according to any one of claims 1 to 6, and is characterized in that, The system includes: The system process on-line monitoring data interface module is used to obtain the on-line real-time monitoring data of the system site or simulator, determine the demand direction for the restoration and regulation of the system function goal state according to the function goal state of the monitoring system, and form a manipulation task goal; The database module, including the target tree database, the system device relationship database, and the inference relationship database, is used to support the system's successful path planning and analysis. Among them, the target tree database is used to construct the data relationship of the system function objective-task objective tree structure. The system device relationship database is used to store and access the data relationship of the system device physical flow structure. The inference relationship database is used to store and access the internal causal influence relationship of the process device control behavior inference. The system successful path generation module is used to automatically generate and perform performance analysis on the control action sequence path for the success of the target task according to the online real-time monitoring data and the database module. The system successful path visualization human-machine interface display module is used to realize the priority sorting display of the system successful path and provide operation process guidance for the operator through the progressive step list display.

8. A storage medium stores a program, characterized in that, When the program is executed by the processor, it realizes the system successful path planning method according to any one of claims 1 to 6.

Images