A scene-adaptive intelligent circuit breaker cascade control platform

Abstract

The application discloses a scene self-adaptive intelligent circuit breaker cascade control platform, and relates to the related field of emergency protection circuit devices, which comprises the following steps: searching and calling the service record of an intelligent circuit breaker, performing hierarchical clustering and logical fuzzification, and determining a control response logic; configuring a parallel microprocessor, combining a host coordinator, and building an intelligent control unit; monitoring and reading dynamic circuit data of the intelligent circuit breaker, performing data verification and compensation based on a confidence interval, determining effective circuit data, combining the intelligent control unit, performing microprocessor matching and decision-making, performing strategy defuzzification, and determining a pre-control strategy; and controlling and managing the intelligent circuit breaker, with the pre-control strategy responding to a cascade controller, wherein the cascade controller comprises a control outer ring and a control inner ring. The application solves the technical problem that the control strategy of the circuit breaker in the prior art is difficult to adapt to complex and changeable power environments and cannot match the requirements of modern power systems on safety, reliability and high efficiency.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of emergency protection circuit device, in particular to a scene adaptive intelligent circuit breaker cascade control platform. BACKGROUND

[0002] In the intelligent power system, the circuit breaker is an important device for protection and control circuit, and the adaptive control capability of the circuit breaker is crucial for ensuring the stable operation of the power system. The traditional circuit breaker usually adopts a fixed control strategy, which is difficult to adapt to the complex and variable power environment, and thus cannot meet the requirements of modern power systems for safety, reliability and efficiency.

[0003] Therefore, in the prior art, the control strategy adopted by the circuit breaker is difficult to adapt to the complex and variable power environment, and cannot match the requirements of modern power systems for safety, reliability and efficiency. SUMMARY

[0004] The present application provides a scene adaptive intelligent circuit breaker cascade control platform, which solves the technical problem that the control strategy adopted by the circuit breaker in the prior art is difficult to adapt to the complex and variable power environment and cannot match the requirements of modern power systems for safety, reliability and efficiency. Through the intelligent circuit breaker adaptive control platform, the response speed and decision accuracy of the circuit breaker can be significantly improved, the safety and stability of the system can be enhanced, and the power accidents caused by strategy rejection can be effectively reduced.

[0005] The present application provides a scene adaptive intelligent circuit breaker cascade control platform, which comprises: a data extraction module for retrieving and calling the service record of an intelligent circuit breaker, performing hierarchical clustering and logical fuzzification, and determining a control response logic, wherein the control response logic identifies a scene mode. A response configuration module for configuring a parallel microprocessor based on the control response logic, jointly with an upper coordinator, to build an intelligent control unit, wherein the parallel microprocessor has a corresponding relationship with the control response logic. A circuit data determination module for monitoring and reading dynamic circuit data of the intelligent circuit breaker, performing data verification and compensation based on a confidence interval, and determining valid circuit data. A control strategy acquisition module for receiving the valid circuit data, combining the intelligent control unit, performing microprocessor matching and decision making, performing strategy de-fuzzification, and determining a pre-control strategy, wherein the pre-control strategy includes a direct control strategy and an indirect control strategy. A control management module for controlling and managing the intelligent circuit breaker, and the pre-control strategy responds to a cascade controller, wherein the cascade controller comprises a control outer ring and a control inner ring.

[0006] In a possible implementation, the data extraction module is further configured to: based on the service record, perform scene-based primary clustering to determine a first clustering result; traverse the first clustering result, perform control mode-based secondary clustering to determine a second clustering result; based on the second clustering result, perform fuzzification processing of bottom-layer control logics in a cluster by using a bidirectional fuzzy conversion unit, and integrate to determine the control response logic, wherein the control response logic is in one-to-one correspondence with a clustering cluster.

[0007] In a possible implementation, the data extraction module is further configured to: determine a fuzzy conversion rule, establish a bidirectional fuzzy conversion unit, the bidirectional fuzzy conversion unit including a fuzzy conversion branch and a de-fuzzification branch; determine a first clustering cluster, and extract N pieces of bottom-layer control logics in the cluster; traverse the N pieces of bottom-layer control logics, and based on the difference between the logics, locate common logic points and different logic points; based on the fuzzy conversion branch, perform fuzzy conversion on the different logic points, and jointly integrate the common logic points to determine a first control response logic.

[0008] In a possible implementation, the response configuration module is further configured to: traverse the scene mode, and set a scene limiting feature, wherein the scene limiting feature is a circuit feature; based on the scene limiting feature, construct the upper coordinator by using feature recognition and microprocessor triggering as processing requirements; based on the control response logic, configure the parallel microprocessors, wherein each micro device has independent domain autonomy; and establish a connection between the upper coordinator and the parallel microprocessors to generate the intelligent control unit.

[0009] In a possible implementation, the circuit data determination module is further configured to: traverse the scene mode, determine a control response level based on a risk level and a risk evolution feature; in combination with a preset response level, traverse the control response level to filter a scene mode of pre-control, and configure a verification interval; identify the dynamic circuit data, perform matching and out-of-limit determination in combination with the verification interval, generate a main contact control instruction, and the main contact is of an open-close structure.

[0010] In a possible implementation, the circuit data determination module is further configured to: based on a field environment, determine a field influence feature; based on the field influence feature and the confidence interval, determine the dynamic circuit data, and locate abnormal data; perform compensation correction on the abnormal data to determine the effective circuit data; and if a first out-of-limit threshold is met, set the abnormal data to zero, and if the first out-of-limit threshold is not met, perform data correction based on an interpolation compensation method, and the interpolation compensation includes mean value interpolation and trend interpolation.

[0011] In a possible implementation, the control management module is further configured to: the cascade controller is in communication connection with the intelligent control unit. Based on the pre-control strategy, a direct control strategy is identified, an indirect control strategy is identified in response to the control inner loop, and the indirect control strategy is in direct control constraint relationship in response to the control outer loop.

[0012] In a possible implementation, the control management module is further configured to: synchronously monitor the policy response of the intelligent circuit breaker, determine whether there is a policy rejection, and the rejection determination criterion is no response or overstep response. If there is a policy rejection, an emergency plan is handled based on the rejection live, and a rejection response warning is given.

[0013] The one or more technical solutions provided in the present application have at least the following technical effects or advantages:

[0014] The scene adaptive intelligent circuit breaker cascade control platform provided in the present application comprises: a data extraction module configured to retrieve and call the service record of an intelligent circuit breaker, perform hierarchical clustering and logical fuzzification, and determine a control response logic, wherein the control response logic is identified with a scene mode. A response configuration module is configured to configure a parallel microprocessor based on the control response logic, jointly build an intelligent control unit with an upper coordinator, and build the intelligent control unit, wherein the parallel microprocessor has a corresponding relationship with the control response logic. A circuit data determination module is configured to monitor and read dynamic circuit data of the intelligent circuit breaker, perform data compensation based on a confidence interval, and determine effective circuit data. A control strategy acquisition module is configured to receive the effective circuit data, combine the intelligent control unit, perform microprocessor matching and decision-making, perform policy de-fuzzification, determine a pre-control strategy, and the pre-control strategy comprises a direct control strategy and an indirect control strategy. A control management module is configured to control and manage the intelligent circuit breaker, and the pre-control strategy is in response to a cascade controller, wherein the cascade controller comprises a control outer loop and a control inner loop. The technical problem that the control strategy adopted by the circuit breaker in the prior art is difficult to adapt to complex and changeable power environments and cannot match the requirements of modern power systems for safety, reliability and efficiency is solved. Through the intelligent circuit breaker adaptive control platform, the response speed and decision-making accuracy of the circuit breaker can be significantly improved, the safety and stability of the system are enhanced, and power accidents caused by policy rejection are effectively reduced. BRIEF DESCRIPTION OF DRAWINGS

[0015] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings of the embodiments of the present application will be briefly introduced below, and the flowcharts are used to illustrate the operations performed by the platform according to the embodiments of the present application in the present application. It should be understood that the foregoing or the following operations are not necessarily performed in sequence. On the contrary, various steps can be processed in reverse order or simultaneously according to needs. Meanwhile, other operations can be added to these processes, or one or more steps of operations can be removed from these processes.

[0016] Figure 1 A structural schematic diagram of a scene-adaptive intelligent circuit breaker cascade control platform provided by the embodiments of the present application is shown in the figure.

[0017] Figure 2 A flowchart for determining the control response logic of the data extraction module in the scene-adaptive intelligent circuit breaker cascade control platform of the present application is shown in the figure.

[0018] Legend: data extraction module 11, response configuration module 12, circuit data determination module 13, control strategy acquisition module 14, control management module 15. DETAILED DESCRIPTION

[0019] The foregoing description is only a summary of the technical solutions of the present application, in order to more clearly understand the technical means of the present application, the content of the specification can be implemented, and in order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the following specific embodiments of the present application are described.

[0020] In order to make the purposes, technical solutions and advantages of the present application more clear, the present application will be further described in detail below with reference to the drawings, and the described embodiments should not be regarded as limiting the present application, all other embodiments obtained by those skilled in the art without making creative labor are within the scope of protection of the present application.

[0021] In the following description, "some embodiments" are referred, which describe a subset of all possible embodiments, but it can be understood that "some embodiments" can be the same subset or different subset of all possible embodiments, and can be combined with each other without conflict, the term "first\second" referred to only distinguishes similar objects, and does not represent a specific order for the objects. The terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, platform, product or server including a series of steps or units does not have to be limited to those steps or units clearly listed, but can include other steps or modules not clearly listed or inherent to these processes, platforms, products or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as understood by those skilled in the art to which the present application belongs. The terms used herein are only for the purpose of describing the embodiments of the present application.

[0022] The embodiments of the present application provide a scene-adaptive intelligent circuit breaker cascade control platform, as shown in Figure 1 The platform comprises:

[0023] A data extraction module 11 is configured to retrieve and call service records of the intelligent circuit breaker, perform hierarchical clustering and logical fuzzification, determine a control response logic, and identify a scene mode.

[0024] A response configuration module 12 is configured to configure parallel microprocessors based on the control response logic, jointly use an upper coordinator, build an intelligent control unit, and establish a corresponding relationship between the parallel microprocessors and the control response logic.

[0025] The main task of the data extraction module 11 is to retrieve and call the service records of intelligent circuit breakers, and to perform hierarchical clustering and logical fuzzification processing on these data, so as to determine the control response logic for identifying different scene modes. The data extraction module 11 retrieves the database of intelligent circuit breakers to obtain the historical service records of intelligent circuit breakers of the same category, including the application scene, control mode and cause of abnormality of the circuit breaker. The database of intelligent circuit breakers records the historical service data of various types of circuit breakers, including the application scene, control mode and cause of abnormality of the circuit breaker. According to the hierarchical clustering and logical fuzzification of the service records of intelligent circuit breakers, the control response logic is determined, which identifies the scene mode, that is, the control response logic identifies the corresponding scene and specific control mode. Further, based on the control response logic, the response configuration module 12 configures the parallel microprocessor for analyzing and processing the control response logic. In combination with the upper coordinator, the upper coordinator communicates with multiple sensors and microprocessors through the CAN bus to ensure real-time transmission of data and rapid execution of instructions, and constructs an intelligent control unit, and the parallel microprocessor has a corresponding relationship with the control response logic.

[0026] Further, as shown in Figure 2 The data extraction module 11 is also used to perform scene-based one clustering based on the service records to determine a first clustering result. The first clustering result is traversed to perform control mode-based two clustering to determine a second clustering result. Based on the second clustering result, the in-cluster bottom control logic is fuzzified in combination with a bidirectional fuzzy conversion unit to integrate and determine the control response logic, wherein the control response logic corresponds to the clustering cluster one by one.

[0027] Based on the service record of the intelligent circuit breaker, according to the use scene of the intelligent circuit breaker, the use scene includes: load transient jump out of limit, voltage mutation, short circuit fault, overload operation, environmental temperature change and various abnormal use scenes, the service record is pretreated, the scene features are extracted, the first clustering is carried out based on the scene, the hierarchical clustering algorithm is used to carry out the first clustering on the pretreated data, the first clustering result is determined, and each clustering cluster represents a specific scene mode. Each clustering cluster in the first clustering result is traversed one by one, and the data in each clustering cluster is analyzed in detail under different control modes of the scene, the different control modes corresponding to the control mode scene include: overcurrent protection mode, short circuit protection mode, leakage protection mode, load management mode and the like, secondary clustering is carried out based on the control mode, the second clustering result is determined, and each clustering cluster represents a specific control mode. The control mode is a different control method under the same use scene, such as the short circuit fault control mode caused by equipment failure, line damage and the like in the short circuit fault scene. Based on the second clustering result, the fuzzy processing of the bottom layer control logic in the cluster is carried out combined with the bidirectional fuzzy conversion unit, and the control response logic is integrated and determined, wherein the control response logic corresponds to the clustering cluster one by one.

[0028] Further, the data extraction module 11 is also used to: determine the fuzzy conversion rule, establish the bidirectional fuzzy conversion unit, and the bidirectional fuzzy conversion unit includes a fuzzy conversion branch and a de-fuzzification branch. Determine the first clustering cluster, and extract N bottom layer control logics in the cluster. Traverse the N bottom layer control logics, and based on the difference between the logics, common logic points and difference logic points are located. Based on the fuzzy conversion branch, the difference logic points are fuzzy converted, and the common logic points are integrated to determine the first control response logic.

[0029] The fuzzy conversion rule is a rule for converting the control response parameters into fuzzy parameters, and a specific fuzzy conversion rule is a rule set by a technician in advance. For example, the control parameter is temperature, and the corresponding fuzzy conversion rule is to divide the temperature parameter into multiple temperature division ranges such as low, medium, and high. Subsequently, a first clustering cluster is determined, the first clustering cluster is any one of the second clustering results, N pieces of bottom layer control logic in the cluster are extracted, the bottom layer control logic is specific control data corresponding to a scene mode, such as a line temperature anomaly, a device temperature anomaly mode, and the like. The N pieces of bottom layer control logic are the bottom layer control parameters collected by each scene mode in the first clustering cluster. Common logic points and difference logic points of the N pieces of bottom layer control logic are extracted, the common logic points are control logic composed of the same control parameters, and the difference logic points are control logic composed of different control parameters. Based on the fuzzy conversion branch, the difference logic points are converted, and the common logic points are integrated to determine the first control response logic. The converted difference logic points are a parameter division range, and after de-fuzzification, they are converted into a control parameter interval composed of different control parameters.

[0030] Further, the response configuration module 12 is further configured to: traverse the scene mode, and set a scene limiting feature, wherein the scene limiting feature is a circuit feature. Based on the scene limiting feature, a feature recognition and microprocessor triggering are used as processing requirements to construct the upper coordinator. Based on the control response logic, the parallel microprocessor is configured, wherein each microprocessor device has an independent domain autonomy. The connection between the upper coordinator and the parallel microprocessor is established to generate the intelligent control unit.

[0031] The scene mode is traversed to set scene limiting features, wherein the scene limiting features are circuit feature classes, and the limiting features mainly include current, voltage, power, temperature and other circuit features. Subsequently, based on the scene limiting features, the upper coordinator is constructed by processing requirements of feature recognition and microprocessor triggering, that is, the upper coordinator monitors circuit features in real time through a feature recognition algorithm, identifies the current scene, and triggers the corresponding microprocessor to perform control tasks according to the identified scene features, so as to ensure that the upper coordinator can efficiently and accurately trigger the appropriate microprocessor. The feature recognition algorithm is constructed based on a neural network model. Historical record data is collected from the intelligent circuit breaker and related sensors, including current, voltage, power, temperature and other parameters and corresponding scene identification data, including scene types and scene modes. The neural network model is trained using the collected historical record data and scene identification data until the output accuracy of the model meets the threshold value to obtain the trained feature recognition algorithm. Based on the feature recognition algorithm, the scene limiting features are recognized to obtain the corresponding scene types and scene modes. Further, based on the obtained scene types, the control response logic of the corresponding scene types is obtained. Based on the control response logic, the parallel microprocessors are configured, wherein each micro device has independent domain autonomy, that is, the microprocessors run independently and do not affect each other during running. Finally, the connection between the upper coordinator and the parallel microprocessors is established to generate the intelligent control unit.

[0032] The circuit data determination module 13 is configured to monitor and read dynamic circuit data of the intelligent circuit breaker, perform data verification and compensation based on a confidence interval, and determine effective circuit data.

[0033] The control strategy acquisition module 14 is configured to receive the effective circuit data, match and decide microprocessors in combination with the intelligent control unit, de-fuzz the strategy, determine a pre-control strategy, and the pre-control strategy includes direct control strategies and indirect control strategies.

[0034] The control management module 15 is configured to control and manage the intelligent circuit breaker, and the pre-control strategy responds to a cascade controller, wherein the cascade controller includes a control outer ring and a control inner ring.

[0035] The circuit data determination module 13 monitors and reads the dynamic circuit data of the intelligent circuit breaker, including current, voltage, power, temperature, etc. Then, the dynamic circuit data is compensated by confidence interval data verification to determine the effective circuit data. The confidence interval is obtained by confidence interval calculation based on the collected data in the historical time interval, which is a common calculation scheme in the prior art. In the intelligent circuit breaker adaptive control platform, the confidence interval is used to verify the effectiveness of the dynamic circuit data. Further, the control strategy acquisition module 14 receives the effective circuit data, and the intelligent control unit identifies the corresponding scene mode by feature recognition algorithm on the effective circuit data. The microprocessor matching and decision are completed based on the scene mode. The decision is the first control response logic after the differentiation logic point is fuzzified, and the strategy is de-fuzzified to determine the pre-control strategy. The pre-control strategy includes direct control strategy and indirect control strategy, wherein the direct control strategy corresponds to the common logic point, i.e. the common control parameter, and the indirect control strategy corresponds to the de-fuzzified differentiation logic point. The pre-control strategy responds to the cascade controller, and the control management module 15 is used for control management of the intelligent circuit breaker, wherein the cascade controller includes control outer ring and control inner ring. The technical problem of the prior art that the control strategy of the circuit breaker is difficult to adapt to the complex and changeable power environment and cannot match the requirements of modern power system for safety, reliability and efficiency is solved. Through the intelligent circuit breaker adaptive control platform, the response speed and decision accuracy of the circuit breaker can be significantly improved, and the safety and stability of the system are enhanced.

[0036] Further, the circuit data determination module 13 is also used to determine the field influence feature based on the field environment. Based on the field influence feature and the confidence interval, the dynamic circuit data is judged to locate the abnormal data. The abnormal data is compensated and corrected to determine the effective circuit data. If the first over-limit threshold is met, the abnormal data is set to zero, and if the first over-limit threshold is not met, the data is corrected based on the interpolation compensation method, which includes mean value interpolation and trend interpolation.

[0037] The data verification compensation based on the confidence interval includes: deploying an environment sensor to monitor field environment data in real time, including temperature, humidity, electromagnetic interference, etc. Based on the field environment, the field influence characteristics are determined, which are the characteristics of the influence of the field environment on the dynamic circuit data. When determining the field influence characteristics, the collected data in the historical time interval is analyzed, and the collected environmental data is preprocessed to remove noise and outliers. Further, statistical methods are used to analyze environmental data, calculate basic statistics of environmental parameters, and analyze the trend of environmental data. The trend analysis synchronizes the environmental data with the circuit data in time to ensure that the data correspond to the same time period. The correlation analysis method such as Pearson correlation coefficient is used to evaluate the correlation between environmental characteristics and circuit data, and the environmental characteristics that have a significant impact on circuit data are identified to obtain the field influence characteristics. Further, based on the field influence characteristics and the confidence interval, the field influence characteristic data in the dynamic circuit data is determined, and the abnormal data is located. For example, the collected real-time current data is [10, 11, 9, 12, 10.5, 10.8, 9.5], and the confidence interval calculation result is [9.4, 11.6]. In the real-time current data, 9 and 12 exceed the confidence interval, and are determined as abnormal data. The abnormal data is compensated and corrected to determine the effective circuit data, including: if the first over-limit threshold is met, the abnormal data is set to zero, and if the first over-limit threshold is not met, the data is corrected based on the interpolation compensation method, which includes mean value interpolation and trend interpolation. The first over-limit threshold is the minimum difference parameter between abnormal data and the confidence interval. When the first over-limit threshold is met, i.e. less than the first over-limit threshold, the corresponding abnormal data is small, and the abnormal data is set to zero without correcting the original data. If the first over-limit threshold is not met, i.e. greater than or equal to the first over-limit threshold, the corresponding abnormal data is large, and the data is corrected based on the interpolation compensation method, which includes mean value interpolation and trend interpolation. The mean value interpolation uses the mean value of the adjacent effective data for compensation, and the trend interpolation compensates for the change trend of the data, such as linear regression, polynomial regression, and moving average.

[0038] Further, the circuit data determination module 13 is also used to: traverse the scene mode, determine the control response level based on the risk level and the risk evolution characteristics. Combine the preset response level, traverse the control response level to filter the pre-control scene mode, and configure the verification interval. Identify the dynamic circuit data, match and exceed the limit determination based on the verification interval, generate the main contact control instruction, and the main contact is an open-close structure.

[0039] After reading the dynamic circuit data of the intelligent circuit breaker, pre-checking control is performed, including: traversing the scene mode, extracting the risk level and the corresponding risk evolution characteristic, i.e., the parameter change characteristic or the parameter change range characteristic, of each scene mode. For example, for the line overload scene, the risk evolution characteristic is [90A, 110A], i.e., when the current is greater than 90A, the line starts to overload, and when the current reaches the maximum abnormal current 110A, the line will trip. The risk level is the risk intensity level set by the professional technician, and the control response level is obtained. Combined with the preset response level, the scene mode of pre-control is filtered by traversing the control response level, and the checking interval is configured, i.e., the scene mode with a higher risk level is directly controlled by filtering the scene mode of the control response level according to the preset response level, so as to improve the response speed of the scene mode with a higher risk level. The scene mode that meets the preset response level is obtained, and the corresponding risk evolution characteristic is obtained. The checking interval is configured based on the risk evolution characteristic. For example, for the line overload scene, the risk evolution characteristic is [90A, 110A], and the checking interval of the current is configured as [90A, 110A] at this time. The dynamic circuit data is identified, and matching and out-of-limit determination are performed in combination with the checking interval, i.e., whether the corresponding parameter object is within the parameter checking interval range is determined, and the main contact control instruction is generated. When the parameter checking interval range is reached, the main contact disconnection instruction is generated, and when the parameter checking interval range is not reached, no operation is performed. The main contact is of an open-close structure.

[0040] Further, the control management module 15 is further configured to: the cascade controller is in communication connection with the intelligent control unit. Based on the pre-control strategy, a direct control strategy is identified, and an indirect control strategy is identified in response to the control inner loop, and the indirect control strategy is a direct control constraint relationship.

[0041] The pre-control strategy is in response to the cascade controller, including: the cascade controller is in communication connection with the intelligent control unit, and the communication connection is connected through a wired or wireless communication interface such as a CAN bus, Ethernet, Wi-Fi, etc. Based on the pre-control strategy, a direct control strategy is identified, and a direct control strategy that needs to be executed immediately is identified, and the direct control strategy is a common control parameter that can complete the control of the scene mode without adjustment. Since the de-fuzzified control parameter is a parameter control interval, it is necessary to identify the indirect control strategy in the pre-control strategy in response to the control outer loop, and the control outer loop is used to constrain the control parameter within the parameter control interval, i.e., the indirect control strategy is a direct control constraint relationship.

[0042] Further, the control management module 15 is also used for: synchronously monitoring the policy response of the intelligent circuit breaker, determining whether there is policy refusal, and the refusal determination standard is no response or over-level response. If there is policy refusal, emergency plan processing is performed based on the refusal live, and refusal response warning is performed.

[0043] After the intelligent circuit breaker is controlled and managed, the following includes: through a sensor and a data acquisition system, real-time monitoring of the policy response of the intelligent circuit breaker, determining whether there is policy refusal, and the refusal determination standard is no response or over-level response, wherein the no response is that the control instruction is not executed, and the over-level response is that the control instruction is not executed according to the predetermined level. According to the monitoring data, it is determined whether there is a policy refusal, and if the circuit breaker does not respond or does not disconnect according to the predetermined time after the control instruction is issued, it is determined that there is a policy refusal. If there is policy refusal, emergency plan processing is performed based on the refusal live, wherein the plan processing is a pre-device selection execution scheme after the policy refusal, and refusal response warning is performed, and the operation and maintenance personnel are notified to process and optimize.

[0044] The embodiment of the application extracts the service record of the intelligent circuit breaker through the data extraction module, performs hierarchical clustering and logical fuzzification, determines the control response logic, and the control response logic identifies the scene mode. The response configuration module is used to configure parallel microprocessors based on the control response logic, jointly with the upper coordinator, to build an intelligent control unit, and the parallel microprocessors have a corresponding relationship with the control response logic. The circuit data determination module is used to monitor and read the dynamic circuit data of the intelligent circuit breaker, perform data verification and compensation based on the confidence interval, and determine the effective circuit data. The control strategy acquisition module is used to receive the effective circuit data, combine the intelligent control unit, perform microprocessor matching and decision-making, perform strategy de-fuzzification, determine a pre-control strategy, and the pre-control strategy includes a direct control strategy and an indirect control strategy. The control management module is used to control and manage the intelligent circuit breaker, and the pre-control strategy responds to a cascade controller, wherein the cascade controller includes a control outer ring and a control inner ring. The technical problem that the control strategy adopted by the circuit breaker in the prior art is difficult to adapt to complex and changeable power environments and cannot match the safety, reliability and high efficiency requirements of modern power systems is solved. Through the intelligent circuit breaker adaptive control platform, the response speed and decision-making accuracy of the circuit breaker can be significantly improved, the safety and stability of the system can be enhanced, and power accidents caused by policy refusal can be effectively reduced.

[0045] The foregoing DETAILED DESCRIPTION, including the above section titled "Detailed Description," is not to be taken as limiting the scope of the application. Various modifications, combinations, and equivalents can be apparent to those skilled in the art and can be made once the nature of the application is understood. Any modification, combination, or equivalent, which falls within the principles and the scope of the present application, is intended to be included in the present application. In some instances, the actions or steps can be performed in different order from those described herein, and still achieve desirable results. Additionally, the process depicted in the figures can not necessarily require the particular order shown or sequential order to achieve the desired results. In certain implementations, multitasking and parallel processing can be advantageous.

Claims

1. A scene-adaptive intelligent circuit breaker cascade control platform, characterized in that, The platform comprises: a data extraction module for retrieving and calling service records of intelligent circuit breakers, performing hierarchical clustering and logical fuzzification, determining control response logic, and identifying scene modes; a response configuration module for configuring parallel microprocessors based on the control response logic, jointly with an upper coordinator, to build an intelligent control unit, wherein the parallel microprocessors correspond to the control response logic; a circuit data determination module for monitoring and reading dynamic circuit data of the intelligent circuit breakers, performing data verification and compensation based on confidence intervals, and determining effective circuit data; a control strategy acquisition module for receiving the effective circuit data, combining the intelligent control unit, performing microprocessor matching and decision-making, performing strategy defuzzification, and determining pre-control strategies, wherein the pre-control strategies include direct control strategies and indirect control strategies; a control management module for controlling and managing the intelligent circuit breakers, and the pre-control strategies respond to a cascade controller, wherein the cascade controller comprises a control outer loop and a control inner loop; The data extraction module is further configured to: based on the service records, perform scene-based primary clustering to determine a first clustering result, wherein each clustering cluster represents a specific scene mode; traverse the first clustering result, perform control mode-based secondary clustering to determine a second clustering result, wherein each clustering cluster represents a specific control mode, and the control mode is different control methods under the same use scenario; based on the second clustering result, combine a bidirectional fuzzy conversion unit to perform fuzzification processing of the bottom-layer control logic within the cluster, and integrate and determine the control response logic, wherein the control response logic corresponds to the clustering cluster one-to-one, the bottom-layer control logic is specific control data of the corresponding scene mode, and the service records include the application scenario, control mode, and cause of abnormality of the circuit breaker; The control strategy acquisition module further comprises: through the intelligent control unit, the effective circuit data is identified by a feature recognition algorithm to obtain the corresponding scene mode, microprocessor matching and decision-making are completed based on the scene mode, and the decision-making is the first control response logic after differentiation of the logical points, wherein the direct control strategy corresponds to common logical points, i.e., common control parameters, and the indirect control strategy corresponds to the differentiated logical points after defuzzification; The control management module is further configured to: the cascade controller and the intelligent control unit are in communication connection; the direct control strategy responds to the control inner loop, and the indirect control strategy responds to the control outer loop, and the control outer loop is used to constrain the control parameters within the parameter control interval, i.e., the indirect control strategy is a direct control constraint relationship.

2. A scene adaptive intelligent circuit breaker cascade control platform as claimed in claim 1, characterized in that, The data extraction module is further configured to: determine a fuzzy conversion rule to establish a bidirectional fuzzy conversion unit, wherein the bidirectional fuzzy conversion unit comprises a fuzzy conversion branch and a defuzzification branch; determine a first clustering cluster and extract N bottom-layer control logics within the cluster; traverse the N bottom-layer control logics, and based on the differentiation between the logics, locate common logical points and differentiated logical points; Based on the fuzzy conversion branch, the distinguished logic point is subjected to fuzzy conversion, and the first control response logic is determined by integrating the common logic point.

3. A scene adaptive intelligent circuit breaker cascade control platform as claimed in claim 1, wherein, The response configuration module is further configured to: Traverse the scene mode, and set a scene limiting feature, wherein the scene limiting feature is a circuit feature type; Based on the scene limiting feature, a feature recognition and microprocessor triggering are triggered as processing requirements, and the upper coordinator is constructed; Based on the control response logic, the parallel microprocessor is configured, wherein each microprocessor device has an independent domain autonomy; The connection between the upper coordinator and the parallel microprocessor is established, and the intelligent control unit is generated.

4. A scene adaptive intelligent circuit breaker cascade control platform as claimed in claim 1, wherein, The circuit data determination module is further configured to: Traverse the scene mode, and determine a control response level based on a risk level and a risk evolution feature; In combination with a preset response level, the control response level is traversed to filter a pre-control scene mode, and a verification interval is configured; The dynamic circuit data is recognized, and matching and out-of-limit determination are performed in combination with the verification interval, a main contact control instruction is generated, and the main contact is an open-close structure.

5. A scene adaptive intelligent circuit breaker cascade control platform as claimed in claim 1, wherein, The circuit data determination module is further configured to: Determine a field influence feature based on a field environment; Based on the field influence feature and the confidence interval, the dynamic circuit data is determined, and the abnormal data is located; The abnormal data is compensated and corrected to determine the effective circuit data; If the first out-of-limit threshold is met, the abnormal data is set to zero, and if the first out-of-limit threshold is not met, the data is corrected based on an interpolation compensation method, and the interpolation compensation includes mean value interpolation and trend interpolation.

6. A scene adaptive intelligent circuit breaker cascade control platform as claimed in claim 1, wherein, The control management module is further configured to: Synchronously monitor the policy response of the intelligent circuit breaker, and determine whether there is a policy refusal to act, and the refusal to act determination standard is no response and over-level response; If there is a policy refusal to act, an emergency plan is handled based on the refusal to act live, and a refusal to act response warning is performed.

Images