Application method and system of distributed control system in power plant auxiliary network public system

Abstract

The invention discloses an application method and system of a decentralized control system in a power plant auxiliary network public system, and relates to the technical field of industrial automation control, and the method comprises the steps: building a turbo HNICS-T316 decentralized control system, dismounting hardware equipment and a system of an original PLC control system, and carrying out the reconfiguration; dividing a new control system architecture according to an existing control domain, and improving a network security policy and a clock synchronization device to carry out network evaluation; the improved control system is subjected to comprehensive testing including control logic compiling, engineering picture configuration and equipment debugging, and the DCS performance standard is met. Desulfurization, dust removal, wet removal, dust removal and other systems of the unit are uniformly incorporated into DCS centralized control, integrated control of the unit is achieved, and the requirement for centralized control of an auxiliary network is met.

Description

Technical Field

[0001] The present invention relates to the technical field of industrial automation control, and in particular to an application method and system of a distributed control system in a power plant auxiliary network public system. Background Art

[0002] The company's third plant's auxiliary building control system utilizes AB controllogix L74 and L62 PLCs. Since its commissioning, the plant has been operating continuously for 14 years. The upper-level software is FactoryTalk View 7.0 graphics software, and the lower-level software is Logix 5000 version 16-20 logic configuration software, both of which are outdated. Currently, there are no domestic manufacturers for spare parts for all hardware equipment, and all spare parts must be imported, resulting in high maintenance costs. The electronic components are aging and showing a clear trend toward degradation. Furthermore, the decentralized control systems for fine treatment, water treatment, ash removal, wet degassing, reclaimed water, fuel pump room, hydrogen production station, ash storage gasification air, and desulfurization utilities are inconvenient for unified maintenance and management. The network security protection of these control systems has not been effectively configured, failing to meet the requirements for network security and information security protection for control systems.

[0003] To address the serious hidden dangers in the existing auxiliary grid's PLC control system, which impacted the safe and stable operation of equipment and the lack of centralized control of related systems, making maintenance more difficult for personnel, this renovation integrated the unit's desulfurization, ash removal, wet desulfurization, and dust removal systems into the centralized DCS control system, achieving integrated control of the units and meeting the requirements of the auxiliary grid's centralized control. Summary of the Invention

[0004] In view of the above-mentioned existing problems, the present invention aims at the serious hidden dangers in the existing PLC control system, which affects the safe and stable operation of the equipment. It fully responds to the role of Huaneng Group in the development and demonstration promotion of the national safe Ruiwo DCS, ensures the "independent controllability" of the industrial control system, and builds a safe and stable DCS control system based on the Ruiwo HNICS-T316 distributed control system AB controllogix PLC system. It has complete technical and spare parts support, convenient maintenance and high performance. At the same time, it completes the control logic compilation, engineering screen configuration, interlocking program control function recovery, and joint debugging and commissioning of on-site equipment.

[0005] In order to solve the above technical problems, a method for applying a distributed control system to the auxiliary power grid public system of a power plant is proposed, including:

[0006] A Ruiwo HNICS-T316 distributed control system was established, and the hardware equipment and systems of the original PLC control system were dismantled and reconfigured. A new control system architecture was divided according to the existing control domains, and network security strategies and clock synchronization devices were improved for network evaluation. A comprehensive test of the improved control system was conducted, including control logic compilation, engineering screen configuration, and equipment debugging, to meet DCS performance standards.

[0007] As a preferred solution of the application method of a distributed control system described in the present invention in the auxiliary network public system of a power plant, the Ruiwo HNICS-T316 distributed control system includes establishing the Ruiwo HNICS-T316 distributed control system using an Ethernet communication system star + bus IO module communication structure, a local 5Mbps fast I / O network, and a data refresh cycle of 5ms.

[0008] Adopting non-C / S system structure, HMI monitoring software communicates directly with the controller.

[0009] Use high-performance SOC processor for signal processing.

[0010] The unit's desulfurization, ash removal, wet removal, and dust removal systems are all included in the DCS unit control for integrated control.

[0011] As a preferred solution of the application method of a distributed control system described in the present invention in the auxiliary network public system of a power plant, the dismantling includes dismantling and replacing subsystems including the desulfurization public system including wastewater, condensate polishing system, ash removal system including air compressor, ash storage, wet electrostatic precipitator system, recycled water treatment system, hydrogen production station, all control cabinets and network cabinets in the fuel pump room, reconfiguration and screen production, and replacement of the upper engineer station and operator station.

[0012] The reconfiguration includes, during the reconfiguration and screen production, for each subsystem involving the corresponding control module, each module operates independently, collects the operating status and performance data of each module in real time, and publishes the data as input signal to the central processing unit, which applies the complex information filtering function f (Input i ,t) Analyze the collected data, evaluate the current operating conditions and performance status, and dynamically select and activate the corresponding control module based on the evaluation results:

[0013]

[0014] Among them, Input i represents the i-th input signal, t is the time variable, a i is the weight of the i-th input signal on the output, I represents the number of input signals, and α is the importance weight of the input on the control output, which determines the strength of the input signal. The threshold function used to fuzzify the input ensures that the effect is significant only when the input exceeds the set threshold θ. δ is the sensitivity parameter that affects changes in the input signal.

[0015] According to the analysis results, the control strategy output is adjusted, and the configuration software of the Ruiwo HNICS-T316 distributed control system is used to configure the parameters of each module, reconfigure, and deploy the adjusted control system modules into the actual production environment.

[0016] As a preferred solution of the application method of a distributed control system in the auxiliary network public system of a power plant described in the present invention, the new control system architecture includes establishing a multi-level network architecture and using VPN and firewall to isolate existing different control domains.

[0017] The existing control domain is redefined through a dynamic system partitioning algorithm. The control domain is dynamically divided using load forecasts and real-time data:

[0018]

[0019] Where D(t) is the dynamic control domain partition result at time t, N is the number of modules in the system, and β n is the influence coefficient of module n in the control strategy, λ n is the attenuation coefficient corresponding to the module load response, State n (t′) is the module status signal, reflecting the status of the module at time t′.

[0020] When D(t)>D th1 When the current control module is high priority, when D th2 <D(t)≤D th1 When D(t)≤D th2 When the current module is of low priority, D th1 and D th2 The control domain is divided into the first control threshold and the second control threshold in descending order of priority. Based on the newly divided control domain data, the coordination requirements between the functional modules are analyzed. Different system types of classified control are formulated for the input signals of different systems, and corresponding optimization strategies are formulated:

[0021]

[0022] Among them, C opt (t) is the optimized control strategy output, M is the number of targeted control strategies, ε m is the weight of the priority of different strategies.

[0023] According to the optimized output of the classification control algorithm, the corresponding network security strategy is implemented, and the stability of the new control system architecture is monitored through multi-level feedback. When the system is stable, the current new control system architecture is maintained.

[0024] As a preferred solution of the application method of a distributed control system in the auxiliary power grid public system of a power plant described in the present invention, wherein: the improved network security strategy and clock synchronization device include: the Ruiwo HNICS-T316 distributed control system adopts the bus IO module communication structure, and in each IO module, confirms the storage space of the status confirmation variable:

[0025]

[0026] Here, ST(t) represents the state detection value at time t, and Δ(tt′) represents the time when the state change occurs.

[0027] When a subsystem in the control system changes, the IO module immediately generates incremental update data and transmits the change information in the status confirmation variable to the main controller. After receiving the incremental data, the controller parses and updates the internal state to avoid unnecessary full data reads and aggregates all received incremental updates according to device priority.

[0028] The incremental update result is read back by the historical data delay function to calculate the impact of the delay on the historical data;

[0029] In the communication protocol, the data packet structure is modified, and the incremental update data format is specified as compact, transmitting only the changed information. After receiving the incremental data, the controller parses and updates the internal state. When the collected incremental updates meet the feedback conditions, they are fed back to each IO module. The synchronization cycle is set in the clock synchronization device. When historical data is read back, the complete data is requested from the IO module. When historical data is not read back, the state is updated in an incremental manner.

[0030] As a preferred solution of the method for applying a distributed control system in a power plant auxiliary network public system according to the present invention, the comprehensive test includes comprehensive testing of the improved control system, including control logic compilation, engineering screen configuration and equipment debugging, setting the switching control model for verification under different states, and setting the switching control model Γ:

[0031]

[0032] in, and To define the threshold for state switching, g(x) evaluates the performance of the system state and optimizes the sensitivity of the signal, where x is used to refer to c2(q1(t),q2(t),…,q w(t)),c2(q1(t),q2(t),…,q w (t)) represents multiple quantities q w At time t, the function combination performs state switching and state warning according to the judgment result.

[0033] As a preferred solution of the method for applying a distributed control system in a power plant auxiliary network public system according to the present invention, the comprehensive test further includes:

[0034] When Γ = 1, it indicates normal operation, meeting all DCS performance standards, and the system is effective. By dynamically adjusting λ2, the system sensitivity is optimized to respond to environmental changes.

[0035] When Γ=2, it indicates a minor fault. The system keeps working, but the performance is affected. The redundant path and distributed control strategy are activated to ensure the coordination between different components. w and q l Fine-tune the strong coupling relationship and monitor key indicators and trends to prevent failure expansion.

[0036] When Γ=3, it indicates a serious fault. The system activates the automatic fault recovery system, performs a comprehensive status assessment, uses fast Fourier transform to analyze the data waveform, guides the system into safe mode through control logic, and dynamically adjusts the power output:

[0037]

[0038] Wherein, ρ is the preset safety factor, and λ3 is the attenuation coefficient of the dynamically adjusted power.

[0039] Another object of the present invention is to provide an application system for a distributed control system in a power plant's auxiliary utility system. This system achieves efficient, stable, and secure distributed control of the power plant's auxiliary utility system. By establishing an advanced distributed control system, optimizing control logic and network architecture, and ensuring independent operation and real-time data acquisition of control modules, the system's performance, reliability, and safety are enhanced. Furthermore, through comprehensive testing and real-time monitoring, the system can rapidly respond to environmental changes and handle various operating conditions, including normal operation, minor faults, and major failures, ensuring the continuous and reliable operation of the power plant's auxiliary utility system.

[0040] As a preferred solution for the application system of the distributed control system described in the present invention in the auxiliary network public system of a power plant, it is characterized by including a reconfiguration module, a control system architecture improvement module, a network security and synchronization device improvement module, and a comprehensive testing module.

[0041] The reconfiguration module establishes a new distributed control system, dismantles the original PLC system, removes the old control cabinet and network cabinet, reconfigures the subsystems, performs independent configuration and screen production for each subsystem, and adopts Ethernet communication and fast I / O network.

[0042] The control system architecture improvement module establishes a multi-level network architecture, uses VPN and firewall, and redefines the control domain through a dynamic system partitioning algorithm.

[0043] The network security and synchronization device improvement module confirms the storage space of the state variable in each IO module, implements the incremental update strategy, and synchronizes the clock cycle.

[0044] The comprehensive test module sets the switching control model, performs state switching verification, optimizes signal sensitivity, meets all DCS performance standards, and performs state warning and fault processing.

[0045] A computer device includes a memory and a processor, wherein the memory stores a computer program, and is characterized in that when the processor executes the computer program, the steps of the application method of a distributed control system in a power plant auxiliary network public system are implemented.

[0046] A computer-readable storage medium having a computer program stored thereon, characterized in that when the computer program is executed by a processor, the steps of the method for applying a distributed control system to a power plant auxiliary network public system are implemented.

[0047] The beneficial effects of the present invention are as follows: the communication rate of the Ruiwo HNICS-T316 distributed control system of the present invention is faster, the operation is stable, the control screen operation is convenient and flexible, and the data response is accurate; the group operation functions of each subsystem are put into operation normally, and the transfer monitoring and interlocking functions are normal.

[0048] Ruiwo HNICS-T316 distributed control system adopts non-C / S system structure. The HMI monitoring software can communicate directly with the controller, which can avoid the unit's operation from stopping or other unsafe situations caused by server failure during program download or operation.

[0049] The Ruiwo DCS system's redundant design utilizes high-performance SOC processors for signal processing, supporting redundancy between controllers, power supplies, I / O networks, and the monitoring backend and network. Its operating system enables high-capacity, high-precision real-time information processing, includes built-in controller IP display and configuration, eliminates the dial-up function, and supports remote I / O star networking. It achieves sub-millisecond I / O real-time information processing, and the control plan page supports eight task levels: 5ms, 10ms, 20ms, 50ms, 100ms, 200ms, 500ms, and 1s, meeting all control tasks, including DEH, ETS, and MCS.

[0050] The I / O modules of the Ruiwo DCS system feature high-speed deterministic networking to avoid network congestion. The dual bus further improves communication reliability and compensates for delays in reading back historical data from the original PLC system. Field modules are equipped with color-coded indicators and anti-error locks for effective identification and easy on-site maintenance. They also feature electronic fusing, no fuses, and self-recovery protection against misconnections due to high voltage.

[0051] After replacing the Ruiwo system, the software was reconfigured according to the PLC program, and individual configuration issues were optimized. During the debugging process, any issues discovered were promptly addressed to ensure the integrity of the logic and the accuracy of the protection settings. The system continues to develop and improve its functions. Technicians can independently develop and optimize logic and graphics for field issues using DCS graphics drawing software and logic configuration software.

[0052] The alarm system's trend and real-time diagnostic query features allow for quick and accurate query of incident records, displaying multiple curves within the trend screen. It also displays maximum, minimum, average, and rate of change values ​​within a time period, facilitating process data analysis. The alarm logging feature provides powerful functionality for recording all process alarms, SOE information, system alarms, operator operation records, and maintenance records. The diagnostic tool automatically generates a corresponding network topology diagram based on system performance and node status, displaying node communication status and diagnostic information in real time.

[0053] This renovation will integrate the unit's desulfurization, ash removal, wet removal, dust removal and other systems into the DCS unit control, realizing integrated control of the unit and meeting the requirements of auxiliary network centralized control. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. Those skilled in the art can also derive other drawings based on these drawings without inventive work, among which:

[0055] Figure 1 The present invention provides an overall flow chart of a method for applying a distributed control system to a power plant auxiliary network public system according to an embodiment of the present invention.

[0056] Figure 2 A system solution flow chart of an application system of a distributed control system in a power plant auxiliary network public system provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0057] To make the above-mentioned objects, features, and advantages of the present invention more clearly understood, the following detailed description of the specific embodiments of the present invention is given in conjunction with the accompanying drawings. It is obvious that the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in this field without creative work should fall within the scope of protection of the present invention.

[0058] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0059] Secondly, the term "one embodiment" or "embodiment" herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in various places throughout this specification does not necessarily refer to the same embodiment, nor does it individually or selectively refer to an embodiment that is mutually exclusive of other embodiments.

[0060] The present invention is described in detail with reference to schematic diagrams. For ease of illustration, cross-sectional views of device structures may be partially enlarged and not to scale when describing embodiments of the present invention. Furthermore, the schematic diagrams are merely illustrative and should not limit the scope of the present invention. Furthermore, in actual production, the three-dimensional dimensions of length, width, and depth should be included.

[0061] In the description of the present invention, it should be noted that the terms "upper, lower, inner, and outer" and other references to orientations or positional relationships are based on the orientations or positional relationships shown in the accompanying drawings and are intended solely to facilitate and simplify the description of the present invention. They are not intended to indicate or imply that the devices or components referred to must have, be constructed, or operate in a specific orientation, and therefore should not be construed as limitations on the present invention. Furthermore, the terms "first, second, or third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0062] In this disclosure, unless otherwise specified or limited, the terms "mounted," "connected," and "connected" should be interpreted broadly. For example, they may refer to fixed, removable, or integral connections. They may also refer to mechanical, electrical, or direct connections, indirect connections through an intermediary, or internal communication between two components. Those skilled in the art will understand the specific meanings of these terms in this disclosure.

[0063] Example 1, with reference to Figure 1 , which is the first embodiment of the present invention, provides a method for applying a distributed control system to a power plant auxiliary network public system, comprising:

[0064] S1: Establish the Ruiwo HNICS-T316 distributed control system, dismantle the hardware equipment and system of the original PLC control system, and reconfigure it.

[0065] Furthermore, the establishment of the Ruiwo HNICS-T316 distributed control system adopts the Ethernet communication system star + bus IO module communication structure, local 5Mbps fast I / O network, and data refresh cycle of 5ms.

[0066] Adopting non-C / S system structure, HMI monitoring software communicates directly with the controller.

[0067] Use high-performance SOC processor for signal processing.

[0068] The unit's desulfurization, ash removal, wet removal, and dust removal systems are all included in the DCS unit control for integrated control.

[0069] It should be noted that the dismantling and replacement of subsystems include the desulfurization public system including wastewater, condensate polishing system, ash removal system including air compressor, ash storage, wet electrostatic precipitator system, recycled water treatment system, hydrogen production station, all control cabinets and network cabinets in the fuel pump room, reconfiguration and screen production, and replacement of upper engineer station and operator station.

[0070] There are no domestic spare parts manufacturers for all the hardware equipment of the original AB series PLC control system. All spare parts need to be imported, and the prices are high, which increases the maintenance cost; the AB series PLC has weak anti-interference ability and may cause control errors due to external factors; domestic service providers no longer provide general technical support, but have switched to customized technical services. Some problems that arise on site cannot receive technical services in a timely manner, resulting in the escalation of problems; software programming is complex, the programming speed is slow, and the programmability is subject to certain restrictions. This is most evident in the fact that the compilation of program control and sequential control logic requires a high level of technical personnel and does not meet all the automation control needs on site.

[0071] The control of systems such as fine treatment, water treatment, ash removal, wet removal, reclaimed water, fuel pump room, hydrogen production station, ash storage gasification air, and desulfurization utilities is decentralized and inconvenient for unified maintenance and management.

[0072] The original control system's network security protection was not effectively configured, the clocks of each control station were inconsistent and differed greatly from Beijing time.

[0073] The newly added equipment for the reclaimed water treatment renovation and the equipment related to the chemical expansion and renovation of the third plant cannot be incorporated into the system to achieve centralized control.

[0074] The reconfiguration includes, during the reconfiguration and screen production, for each subsystem involving the corresponding control module, each module operates independently, collects the operating status and performance data of each module in real time, and publishes the data as input signal to the central processing unit, which applies the complex information filtering function f (Input i ,t) Analyze the collected data, evaluate the current operating conditions and performance status, and dynamically select and activate the corresponding control module based on the evaluation results:

[0075]

[0076] Among them, Input i represents the i-th input signal, t is the time variable, a i is the weight of the i-th input signal on the output, I represents the number of input signals, and α is the importance weight of the input on the control output, which determines the strength of the input signal. The threshold function used to fuzzify the input ensures that the effect is significant only when the input exceeds the set threshold θ. δ is the sensitivity parameter that affects changes in the input signal.

[0077] According to the analysis results, the control strategy output is adjusted, and the configuration software of the Ruiwo HNICS-T316 distributed control system is used to configure the parameters of each module, reconfigure, and deploy the adjusted control system modules into the actual production environment.

[0078] Determine the sensors for processing flue gas composition, flow rate and temperature, as well as the output signals for controlling the spray system.

[0079] Using configuration software, the monitored data is input into the mathematical model mentioned above to optimize the dosage of desulfurizer.

[0080] Implement real-time monitoring in the system, automatically feedback the treatment effect and adjust the control parameters of the spray system to ensure maximum desulfurization efficiency.

[0081] Monitor system performance under actual operating conditions to ensure that the new configuration can achieve the design goals.

[0082] S2: Divide the new control system architecture according to the existing control domain, improve the network security strategy and clock synchronization device to conduct network evaluation.

[0083] Furthermore, a multi-layered network architecture is established, using VPNs and firewalls to isolate different existing control domains.

[0084] The existing control domain is redefined through a dynamic system partitioning algorithm. The control domain is dynamically divided using load forecasts and real-time data:

[0085]

[0086] Where D(t) is the dynamic control domain partition result at time t, N is the number of modules in the system, and β n is the influence coefficient of module n in the control strategy, λ n is the attenuation coefficient corresponding to the module load response, State n (t′) is the module status signal, reflecting the status of the module at time t′.

[0087] When D(t)>D th1 When the current control module is high priority, when D th2 <D(t)≤D th1 When D(t)≤D th2 When the current module is of low priority, D th1 and D th2 The control domain is divided according to the priority order from high to low for the preset first and second control thresholds. Based on the newly divided control domain data, the coordination requirements between the functional modules are analyzed. Different system types of classified control are formulated for the input signals of different systems, and corresponding optimization strategies are formulated:

[0088]

[0089] Among them, C opt (t) is the optimized control strategy output, M is the number of targeted control strategies, ε m is the weight of the priority of different strategies.

[0090] According to the optimized output of the classification control algorithm, the corresponding network security strategy is implemented, and the stability of the new control system architecture is monitored through multi-level feedback. When the system is stable, the current new control system architecture is maintained.

[0091] It should be noted that the Ruiwo HNICS-T316 distributed control system adopts the bus IO module communication structure. In each IO module, the storage space of the status confirmation variable is confirmed:

[0092]

[0093] Here, ST(t) represents the state detection value at time t, and Δ(tt′) represents the time when the state change occurs.

[0094] When a subsystem in the control system changes, the IO module immediately generates incremental update data and transmits the change information in the status confirmation variable to the main controller. After receiving the incremental data, the controller parses and updates the internal state to avoid unnecessary full data reads and aggregates all received incremental updates according to device priority:

[0095]

[0096] Among them, U(t) represents the incremental update aggregation value at time t, O is the total number of state changes, and d o is the importance weight of different state changes, and T is the maximum time limit used to normalize incremental updates.

[0097] The incremental update result is read back by the historical data delay function to calculate the impact of the delay on the historical data:

[0098]

[0099] Where B(t) represents the delay value of historical data readback at time t, s represents the constant that affects delay attenuation, and η represents the degree of smoothness in controlling the delay process.

[0100] In the communication protocol, the data packet structure is modified, and the incremental update data format is specified as compact, transmitting only the changed information. After receiving the incremental data, the controller parses and updates the internal state. When the collected incremental updates meet the feedback conditions, they are fed back to each IO module. The synchronization cycle is set in the clock synchronization device. When historical data is read back, complete data is requested from the IO module. When historical data is not read back, the state is updated in an incremental manner. Improve network security strategies and clock synchronization devices to solve network delays.

[0101] S3: Conduct comprehensive testing on the improved control system, including control logic compilation, engineering screen configuration and equipment debugging to meet DCS performance standards.

[0102] Furthermore, the improved control system is fully tested, including control logic compilation, engineering screen configuration and equipment debugging, setting the switching control model to verify in different states, setting the switching control model Γ

[0103]

[0104] Where l1 and l2 are thresholds for defining state switching, l1>l2. g(x) evaluates the performance of the system state and optimizes the sensitivity of the signal, where x is used to refer to c2(q1(t),q2(t),…,q w (t)):

[0105]

[0106] Where μ is the reference point of input x, c2(q1(t),q2(t),…,q w (t)) represents multiple quantities q w Function combination at time t:

[0107]

[0108] Where λ1 represents the decay rate, W is the number of features, Indicates the degree of contribution of each state variable to the whole, h j Represents the variable q l (t) is processed to ensure the relative influence of different variables is balanced. L represents the number of signals of different frequencies in the model, ω l The frequency of the lth sinusoidal signal represents the oscillation rate of the current signal.

[0109]

[0110] Based on the judgment results, status switching and status warning are performed.

[0111] When Γ = 1, it indicates normal operation, meeting all DCS performance standards, and the system is effective. By dynamically adjusting λ2, the system sensitivity is optimized to respond to environmental changes.

[0112] When Γ=2, it indicates a minor fault. The system keeps working, but the performance is affected. The redundant path and distributed control strategy are activated to ensure the coordination between different components. w and q l Fine-tune the strong coupling relationship and monitor key indicators and trends to prevent failure expansion.

[0113] When Γ=3, it indicates a serious fault. The system activates the automatic fault recovery system, performs a comprehensive status assessment, uses fast Fourier transform to analyze the data waveform, guides the system into safe mode through control logic, and dynamically adjusts the power output:

[0114]

[0115] Wherein, ρ is the preset safety factor, and λ3 is the attenuation coefficient of the dynamically adjusted power.

[0116] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

[0117] Embodiment 2, the third embodiment of the present invention, is different from the first two embodiments in that:

[0118] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0119] The logic and / or steps represented in the flowcharts or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing the logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (e.g., a computer-based system, a system including a processor, or other system that can fetch and execute instructions from an instruction execution system, apparatus, or device). For purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by, or in conjunction with, an instruction execution system, apparatus, or device.

[0120] More specific examples (a non-exhaustive list) of computer-readable media include the following: an electrical connection with one or more wires (electronic devices), a portable computer disk cartridge (magnetic devices), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disc read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering, or processing in another suitable manner as necessary, and then stored in a computer memory.

[0121] It should be understood that various parts of the present invention can be implemented using hardware, software, firmware, or a combination thereof. In the above-described embodiments, multiple steps or methods can be implemented using software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented using hardware, as in another embodiment, any one of the following technologies known in the art or a combination thereof can be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application-specific integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0122] Example 3, reference Figure 2 , which is the fourth embodiment of the present invention, provides an application system of a distributed control system in the auxiliary network public system of a power plant, including a reconfiguration module, a control system architecture improvement module, a network security and synchronization device improvement module, and a comprehensive testing module.

[0123] Reconfigure the module to establish a new distributed control system, dismantle the original PLC system, remove the old control cabinet and network cabinet, reconfigure the subsystem, perform independent configuration and screen production for each subsystem, and adopt Ethernet communication and fast I / O network.

[0124] The control system architecture improvement module establishes a multi-level network architecture, uses VPN and firewall, and redefines the control domain through a dynamic system partitioning algorithm.

[0125] The network security and synchronization device improvement module confirms the storage space of the state variables in each IO module, implements the incremental update strategy, and synchronizes the clock cycle.

[0126] Comprehensively test the module to set the switching control model, perform state switching verification, optimize signal sensitivity, meet all DCS performance standards, and perform status warning and fault handling.

[0127] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for applying a distributed control system to a power plant auxiliary network public system, characterized by: include, Established the Ruiwo HNICS-T316 distributed control system, dismantled the hardware equipment and system of the original PLC control system, and reconfigured it; Divide the new control system architecture based on the existing control domain, improve network security strategies and clock synchronization devices for network evaluation; The improved control system is fully tested, including control logic compilation, engineering screen configuration and equipment debugging, to meet DCS performance standards.

2. The method for applying a distributed control system to a power plant auxiliary network public system according to claim 1, characterized in that: The Ruiwo HNICS-T316 distributed control system includes establishing a Ruiwo HNICS-T316 distributed control system using an Ethernet communication system star + bus IO module communication structure, a local 5Mbps fast I / O network, and a data refresh cycle of 5ms; Adopting non-C / S system structure, HMI monitoring software communicates directly with the controller; Use high-performance SOC processor for signal processing; The unit's desulfurization, ash removal, wet removal, and dust removal systems are all included in the DCS unit control for integrated control.

3. The method for applying a distributed control system to a power plant auxiliary network public system according to claim 2, characterized in that: The demolition includes the removal and replacement of subsystems including the desulfurization utility system including wastewater, condensate polishing system, ash handling system including air compressor, ash storage, wet electrostatic precipitator system, recycled water treatment system, hydrogen production station, all control cabinets and network cabinets in the fuel pump room, reconfiguration and screen creation, and replacement of the upper engineer station and operator station; The reconfiguration includes, during the reconfiguration and screen production, for each subsystem involving the corresponding control module, each module operates independently, collects the operating status and performance data of each module in real time, and publishes the data as input signal to the central processing unit, which applies the complex information filtering function f (Input i ,t) Analyze the collected data, evaluate the current operating conditions and performance status, and dynamically select and activate the corresponding control module based on the evaluation results: Among them, Input i represents the i-th input signal, t is the time variable, a i is the weight of the i-th input signal on the output, I represents the number of input signals, and α is the importance weight of the input on the control output, which determines the strength of the input signal; The threshold function used to fuzzify the input ensures that the effect is significant only when the input exceeds the set threshold θ; δ is the sensitivity parameter that affects the change of the input signal; According to the analysis results, the control strategy output is adjusted, and the configuration software of the Ruiwo HNICS-T316 distributed control system is used to configure the parameters of each module, reconfigure, and deploy the adjusted control system modules into the actual production environment.

4. The method for applying a distributed control system to a power plant auxiliary network public system according to claim 3 is characterized in that: The new control system architecture includes establishing a multi-layered network architecture and using VPNs and firewalls to isolate different existing control domains; The existing control domain is redefined through a dynamic system partitioning algorithm. The control domain is dynamically divided using load forecasts and real-time data: Where D(t) is the dynamic control domain partition result at time t, N is the number of modules in the system, and β n is the influence coefficient of module n in the control strategy, λ n is the attenuation coefficient corresponding to the module load response, State n (t′) is the module status signal, reflecting the status of the module at time t′; When D(t)>D th1 When the current control module is high priority, when D th2 <D(t)≤D th1 When D(t)≤D th2 When the current module is of low priority, D th1 and D th2 The control domain is divided into the first control threshold and the second control threshold in descending order of priority. Based on the newly divided control domain data, the coordination requirements between the functional modules are analyzed. Different system types of classified control are formulated for the input signals of different systems, and corresponding optimization strategies are formulated: Among them, C opt (t) is the optimized control strategy output, M is the number of targeted control strategies, ε m is the weight of the priority of different strategies; According to the optimized output of the classification control algorithm, the corresponding network security strategy is implemented, and the stability of the new control system architecture is monitored through multi-level feedback. When the system is stable, the current new control system architecture is maintained.

5. The method for applying a distributed control system to a power plant auxiliary network public system according to claim 4, characterized in that: The improved network security strategy and clock synchronization device include: the Ruiwo HNICS-T316 distributed control system adopts a bus IO module communication structure, and in each IO module, confirms the storage space of the status confirmation variable: Where ST(t) represents the state detection value at time t, and Δ(tt′) represents the time when the state change occurs; When a subsystem in the control system changes, the IO module immediately generates incremental update data and transmits the change information in the status confirmation variable to the main controller. After receiving the incremental data, the controller parses and updates the internal state to avoid unnecessary full data reads and aggregates all received incremental updates according to device priority. The incremental update result is read back by the historical data delay function to calculate the impact of the delay on the historical data; In the communication protocol, the data packet structure is modified, and the incremental update data format is specified as compact, transmitting only the changed information. After receiving the incremental data, the controller parses and updates the internal state. When the collected incremental updates meet the feedback conditions, they are fed back to each IO module. The synchronization cycle is set in the clock synchronization device. When historical data is read back, the complete data is requested from the IO module. When historical data is not read back, the state is updated in an incremental manner.

6. The method for applying a distributed control system to a power plant auxiliary network public system according to claim 5, characterized in that: The comprehensive test includes comprehensive testing of the improved control system, including control logic compilation, engineering screen configuration and equipment debugging, setting the switching control model for verification in different states, and setting the switching control model Γ: Among them, l1 and l2 are the thresholds for defining state switching, l1>l2; g(x) evaluates the performance of the system state and optimizes the sensitivity of the signal, where x is used to refer to c2(q1(t),q2(t),…,q w (t)),c2(q1(t),q2(t),…,q w (t)) represents multiple quantities q w At time t, the function combination performs state switching and state warning according to the judgment result.

7. The method for applying a distributed control system to a power plant auxiliary network public system according to claim 6, characterized in that: The comprehensive testing also includes, When Γ = 1, it indicates normal operation, meeting all DCS performance standards, and the system is effective. By dynamically adjusting λ2, the system sensitivity is optimized to respond to environmental changes. When Γ=2, it indicates a minor fault. The system keeps working, but the performance is affected. The redundant path and distributed control strategy are activated to ensure the coordination between different components. w and q l Fine-tune the strong coupling relationship and monitor key indicators and trends to prevent failure expansion; When Γ=3, it indicates a serious fault. The system activates the automatic fault recovery system, performs a comprehensive status assessment, uses fast Fourier transform to analyze the data waveform, guides the system into safe mode through control logic, and dynamically adjusts the power output: Wherein, ρ is the preset safety factor, and λ3 is the attenuation coefficient of the dynamically adjusted power.

8. A system using the method for applying a distributed control system according to any one of claims 1 to 7 to a power plant auxiliary network public system, characterized in that: Including reconfiguration module, control system architecture improvement module, network security and synchronization device improvement module, and comprehensive testing module; The reconfiguration module establishes a new distributed control system, dismantles the original PLC system, removes the old control cabinet and network cabinet, reconfigures the subsystems, performs independent configuration and screen production for each subsystem, and adopts Ethernet communication and fast I / O network; The control system architecture improvement module establishes a multi-level network architecture, uses VPN and firewall, and redefines the control domain through a dynamic system partitioning algorithm; The network security and synchronization device improvement module confirms the storage space of the state variables in each IO module, implements the incremental update strategy, and synchronizes the clock cycle; The comprehensive test module sets the switching control model, performs state switching verification, optimizes signal sensitivity, meets all DCS performance standards, and performs state warning and fault processing.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the processor implements the steps of a method for applying a distributed control system in a power plant auxiliary network public system according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method for applying a distributed control system in a power plant auxiliary network public system according to any one of claims 1 to 7 are implemented.

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