A Three-Phase Cooperative End-Side Calculation Method and System Based on Vacuum Fuses

Abstract

This invention discloses a three-phase collaborative end-side calculation method and system based on vacuum-type fuses, applied in the field of smart electrical technology. The method includes: each phase smart fuse acquiring the power supply status of all phase smart fuses at the same location, and dividing the smart fuses into master calculation units and slave calculation units according to the power supply status, computing load, and communication environment; the smart fuses acquiring the tasks to be executed, and distributing the tasks to the master calculation unit and / or slave calculation units for execution according to the power supply status; after a preset time, the master calculation unit acquiring the power supply status of all phase smart fuses at the same location, re-dividing the master calculation unit and slave calculation units, and then re-distributing the tasks for execution. This invention can complete computing power allocation and calculation at the grid-side equipment, effectively improving the efficiency of grid-related calculations and fault assessment, reducing fault response time, and ensuring the stable operation of the distribution network.

Description

Technical Field

[0001] This invention relates to intelligent electrical engineering technology, specifically to a three-phase coordinated end-side calculation method and system based on vacuum fuses. Background Technology

[0002] In the operation of 10kV distribution networks, the calculation of relevant power grid parameters and fault diagnosis are the core links to ensure line safety and reduce power outage losses. Currently, the existing technology mainly collects data from the end equipment through the side equipment and then performs calculations. However, the transmission of the ABC three-phase data to the side equipment results in communication delays. In mountainous and other environments, data reporting is even more difficult. Frequent data retransmissions can even cause communication delays to reach the second level. Excessive delays can also lead to time synchronization difficulties between the end equipment and the side equipment. At the same time, with the increasing intelligence of the end equipment, the computing power of the end equipment itself will also be wasted.

[0003] In the prior art, Chinese Patent Application No. CN202510007252.5 discloses a method, apparatus, device, medium, and program product for edge-to-edge collaborative computing power allocation. This includes: acquiring logistics information of each terminal node in the current business cycle; inputting the logistics information into a pre-trained business classification prediction model to determine real-time terminal nodes and real-time computing power prediction values; determining the real-time computing power demand based on the real-time terminal nodes and real-time computing power prediction values, and dividing the total computing power resources into a real-time business container area and a non-real-time business container area based on the real-time computing power demand; determining the non-real-time access nodes for each time slot corresponding to the next business cycle based on the non-real-time computing power resources in the non-real-time business container area and the node weights of each non-real-time terminal node, and allocating non-real-time computing power resources to each non-real-time access node within the non-real-time business container area. It achieves the linkage between edge devices and end devices, but it still cannot realize the computing power allocation and independent calculation of the end devices themselves. The main reason is that the end devices are located in the power grid site, and the power supply status is relatively complex. The power supply status can be referred to in the applicant's previous patent application 202411194774.2, a power management circuit and management method. It can be seen that the end devices generally have three power supply statuses: CT power supply, supercapacitor power supply and battery power supply. Under different power supply statuses, the end devices will reduce the frequency, thereby causing dynamic changes in computing power. Summary of the Invention

[0004] In order to at least overcome the above-mentioned deficiencies in the prior art, the purpose of this application is to provide a three-phase coordinated end-side calculation method and system based on vacuum fuses.

[0005] In a first aspect, embodiments of this application provide a three-phase coordinated end-side calculation method based on vacuum-type fuses, including:

[0006] Each phase smart fuse obtains the power supply status of all phase smart fuses at the same location, and divides the smart fuse into a master computing unit and a slave computing unit according to the power supply status, computing load and communication environment;

[0007] The intelligent fuse acquires the task that needs to be executed and, based on the power supply status, breaks down the task and assigns it to the main computing unit and / or the slave computing unit for execution.

[0008] After a preset time period, the main computing unit obtains the power supply status of all phase smart fuses at the same location, and then reassigns tasks to be executed after re-dividing the main computing unit and slave computing units.

[0009] In one possible implementation, the division between the master computing unit and the slave computing unit includes:

[0010] The current score of the smart fuse is calculated based on the power supply status, computing load, and communication environment. The smart fuse with the highest score is designated as the master calculation unit, and the other smart fuses are designated as slave calculation units.

[0011] In one possible implementation, the current score of the smart fuse is calculated according to the following formula:

[0012]

[0013]

[0014]

[0015]

[0016]

[0017]

[0018]

[0019]

[0020]

[0021] In the formula, S is the current score of the smart fuse, α1, α2 and α3 are the evaluation weights, and P t For power supply stability scoring, C t For computing power redundancy scoring, T t For communication stability scoring, P1 is the power supply type score, P2 is the CT power supply stability score, P3 is the backup power supply score, I is the corresponding phase current value, and ΔP c ΔP represents the current percentage of charge in the supercapacitor.b C represents the current percentage of charge of the power supply battery. l S1 represents the computing power utilization rate of the smart fuse, S2 represents the long-distance communication signal strength, and S3 represents the standard deviation of the long-distance communication signal strength.

[0022] In one possible implementation, decomposing the task according to the power supply state and assigning it to the main computing unit and / or the slave computing unit for execution includes:

[0023] When the reporting task is obtained from the computing unit, the data to be reported is sent to the main computing unit via short-range wireless communication.

[0024] The main computing unit reports data via long-distance wireless communication.

[0025] In one possible implementation, decomposing the task according to the power supply state and allocating it to the main computing unit and / or the slave computing unit for execution further includes:

[0026] The main computing unit breaks down the task into local tasks and collaborative tasks; the local task is a task that the smart fuse does not need to obtain data from other smart fuses to complete; the collaborative task is a task that the smart fuse needs to obtain data from other smart fuses to complete.

[0027] Each of the aforementioned smart circuit breakers completes its local task, and the main computing unit assigns collaborative tasks to itself and combines them with its own local tasks to form a task queue; the local tasks in the task queue have a higher priority than the collaborative tasks.

[0028] When the main computing unit receives data sent by the slave computing unit and performs collaborative task calculations, if the number of local tasks in the task queue is at least one and the completion level of the current collaborative task exceeds a preset value, the current collaborative task is interrupted and the data at the time of interruption is sent to the slave computing unit to continue calculation.

[0029] Secondly, this application also provides a three-phase coordinated end-side computing system based on vacuum-type fuses, including smart fuses configured in each phase;

[0030] The smart fuse is configured as follows:

[0031] The power supply status of all phase smart fuses at the same location is obtained, and the smart fuses are divided into master computing units and slave computing units according to the power supply status, computing load and communication environment.

[0032] Obtain the task that needs to be executed, and according to the power supply status, break down the task and allocate it to the main computing unit and / or the slave computing unit for execution;

[0033] The main computing unit is configured as follows:

[0034] After a preset time period, the power supply status of all phase smart fuses at the same location is obtained, and the main computing unit and slave computing unit are re-divided before the task is reassigned for execution.

[0035] In one possible implementation, the smart fuse is further configured as follows:

[0036] The current score of the smart fuse is calculated based on the power supply status, computing load, and communication environment. The smart fuse with the highest score is designated as the master calculation unit, and the other smart fuses are designated as slave calculation units.

[0037] In one possible implementation, the smart fuse is further configured as follows:

[0038] The current score of the smart fuse is calculated according to the following formula:

[0039]

[0040]

[0041]

[0042]

[0043]

[0044]

[0045]

[0046]

[0047]

[0048] In the formula, S is the current score of the smart fuse, α1, α2 and α3 are the evaluation weights, and P t For power supply stability scoring, C t For computing power redundancy scoring, T t For communication stability scoring, P1 is the power supply type score, P2 is the CT power supply stability score, P3 is the backup power supply score, I is the corresponding phase current value, and ΔP c ΔP represents the current percentage of charge in the supercapacitor. b C represents the current percentage of charge of the power supply battery. l S1 represents the computing power utilization rate of the smart fuse, S2 represents the long-distance communication signal strength, and S3 represents the standard deviation of the long-distance communication signal strength.

[0049] In one possible implementation, the computing unit is further configured as follows:

[0050] When a reporting task is received, the data to be reported is sent to the main computing unit via short-range wireless communication.

[0051] The main computing unit is also configured to:

[0052] Data is reported via long-distance wireless communication.

[0053] In one possible implementation, the main computing unit is further configured as follows:

[0054] The task is broken down into local tasks and collaborative tasks; the local task is a task that the smart fuse does not need to obtain data from other smart fuses to complete; the collaborative task is a task that the smart fuse needs to obtain data from other smart fuses to complete.

[0055] The system instructs all the aforementioned smart fuses to complete their local tasks and assign collaborative tasks to themselves, which are then combined with their local tasks to form a task queue; in the task queue, the local tasks have a higher priority than the collaborative tasks.

[0056] When receiving data sent from the computing unit and performing collaborative task calculations, if the number of local tasks in the task queue is at least one and the completion level of the current collaborative task exceeds a preset value, the current collaborative task is interrupted and the data at the time of interruption is sent to the computing unit to continue calculation.

[0057] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0058] This invention relates to a three-phase coordinated end-side calculation method and system based on vacuum fuses, which can complete the power allocation and calculation at the grid-end equipment, effectively improving the efficiency of grid-related calculations and fault assessment, reducing fault response time, and ensuring the stable operation of the distribution network. Attached Figure Description

[0059] The accompanying drawings, which are included to provide a further understanding of embodiments of the invention and form part of this application, do not constitute a limitation thereof. In the drawings:

[0060] Figure 1 This is a schematic diagram of the method steps in an embodiment of this application. Detailed Implementation

[0061] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. It should be understood that the accompanying drawings in this application are for illustrative and descriptive purposes only and are not intended to limit the scope of protection of this application. Furthermore, it should be understood that the schematic drawings are not drawn to scale. The flowcharts used in this application illustrate operations implemented according to some embodiments of this application. It should be understood that the operations in the flowcharts may not be implemented in sequence, and steps without logical contextual relationships may be reversed or implemented simultaneously. In addition, those skilled in the art, guided by the content of this application, may add one or more other operations to the flowcharts, or remove one or more operations from the flowcharts.

[0062] Furthermore, the described embodiments are merely some, not all, of the embodiments of this application. The components of the embodiments of this application described and illustrated herein can typically be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely to illustrate selected embodiments of the application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.

[0063] Please refer to the following: Figure 1 This is a flowchart illustrating the three-phase coordinated end-side calculation method based on a vacuum fuse provided in this embodiment of the invention. Further, the three-phase coordinated end-side calculation method based on a vacuum fuse may specifically include the contents described in steps S1-S3.

[0064] S1: Each phase smart fuse obtains the power supply status of all phase smart fuses at the same location, and divides the smart fuse into a master computing unit and a slave computing unit according to the power supply status, computing load and communication environment;

[0065] S2: The intelligent fuse obtains the task that needs to be executed, and according to the power supply status, breaks down the task and distributes it to the main computing unit and / or the slave computing unit for execution;

[0066] S3: After a preset time period, the main computing unit obtains the power supply status of all phase smart fuses at the same location, and then reassigns tasks to be executed after re-dividing the main computing unit and the slave computing unit.

[0067] In the implementation of this application's embodiments, the intelligent fuse can be the intelligent vacuum type fuse developed by the applicant. Its power supply circuit is described in Chinese Patent Application No. 202411194774.2, which shows that its power supply is mainly divided into three types: CT power supply, supercapacitor power supply, and battery power supply. CT power supply requires the corresponding phase's main line current to exceed 18A. When the CT power supply current cannot reach this, supercapacitor power supply is used. In the event of supercapacitor or main line power failure, battery power supply is selected. The operating frequency of the intelligent fuse also changes under different power supply states: generally 240MHz under CT power supply, 120MHz under supercapacitor power supply, and 32MHz under battery power supply. Furthermore, the intelligent fuse is a typical end device. In a distribution network area, side devices are various terminals, such as converged terminals. The main purpose of this application's embodiments is to achieve localized computing at the end device, thereby reducing the difficulty of time synchronization between side devices and end devices.

[0068] In this embodiment, each smart fuse needs to obtain the power supply status of all smart fuses, which can be achieved through short-range wireless communication, such as Bluetooth communication. It should be understood that during localized computation, the number of smart fuses corresponds to the number of phases, i.e., three. Once the power supply status of all fuses has been obtained, a master computing unit and two slave computing units can be elected. Generally, the master computing unit needs to handle more computation and undertake the task of remote wireless communication with edge devices; this remote wireless communication is typically LoRa communication.

[0069] In the implementation of this application's embodiments, it should be understood that the "same location" refers to the three-phase location within the same group of power transmission and distribution lines. Each smart fuse will acquire the tasks to be executed, which can be issued by the edge device or provided by a localized task list. These tasks need to be broken down and allocated to different main and slave computing units for execution. This allocation method allows for effective local computation. During localized computation, since the three smart fuses are very close, low-power communication via Bluetooth is possible, making time synchronization relatively easy, thus facilitating the corresponding calculations. Because calculations such as zero-sequence current calculation heavily rely on timing data, the accuracy of localized computation results is far superior to edge device computation. The main difficulty in time synchronization between edge and end devices lies in long-distance communication, especially in mountainous areas where signal strength is extremely poor, and signal attenuation and packet loss can cause significant data retransmission. After localized computation, the calculated data can be repaired using the frame repair technology applied for by the applicant (application number CN202511172711.1), thereby reducing data retransmission. In this embodiment of the application, since the current state of different phases changes over time, it is necessary to re-divide the main calculation unit and the slave calculation unit by the current main calculation unit after a preset time period to complete the subsequent calculation.

[0070] In one possible implementation, the division between the master computing unit and the slave computing unit includes:

[0071] The current score of the smart fuse is calculated based on the power supply status, computing load, and communication environment. The smart fuse with the highest score is designated as the master calculation unit, and the other smart fuses are designated as slave calculation units.

[0072] In one possible implementation, the current score of the smart fuse is calculated according to the following formula:

[0073]

[0074]

[0075]

[0076]

[0077]

[0078]

[0079]

[0080]

[0081]

[0082] In the formula, S is the current score of the smart fuse, α1, α2 and α3 are the evaluation weights, and P t For power supply stability scoring, C t For computing power redundancy scoring, T t For communication stability scoring, P1 is the power supply type score, P2 is the CT power supply stability score, P3 is the backup power supply score, I is the corresponding phase current value, and ΔP c ΔP represents the current percentage of charge in the supercapacitor. b C represents the current percentage of charge of the power supply battery. l S1 represents the computing power utilization rate of the smart fuse, S2 represents the long-distance communication signal strength, and S3 represents the standard deviation of the long-distance communication signal strength.

[0083] In the implementation of this application embodiment, a specific scoring scheme is provided, which comprehensively considers the power supply status, computing power redundancy and communication stability of all smart fuses, where communication stability generally refers to the stability of long-distance wireless communication. Power supply stability is mainly comprised of three parts. The first part is the power supply type, with a score of CT power supply > supercapacitor power supply > battery power supply. The second part is the stability score of CT power supply. Since CT power supply requires a current of at least 18A, this is evaluated by the difference between the current value and 18A. Because current changes are generally continuous, the higher the current, the lower the probability of it dropping below 18A. Furthermore, since a stability evaluation is introduced, and the stability scores for supercapacitor and battery power supplies are always 0, the final score for CT power supply will always be higher than that for supercapacitor and battery power supplies. This ensures that when only one smart fuse has CT power supply, it will be selected as the main calculation unit. The third part represents the backup power supply status. It should be noted that although this part of the score corresponds to the supercapacitor capacity, in CT power supply status, the supercapacitor charges at a rate of milliseconds, so this value is generally 100%.

[0084] In this embodiment, computing power redundancy mainly considers how much computing power the current device can utilize, which is evaluated through the computing power load rate. Communication stability primarily considers the signal strength of long-distance wireless communication, such as LoRa communication, which is evaluated by combining two parts: signal strength, which characterizes the signal strength under the current signal environment (the better the signal strength, the less packet loss); and the standard deviation of the signal strength, which characterizes the stability of the signal strength. Since smart fuses operate in high-voltage electrical environments, they are inevitably affected by signal noise from these environments. Therefore, this value can effectively identify smart fuses less affected by high-voltage electrical environments. Generally, the weights for power supply status, computing power redundancy, and communication stability can be 0.55, 0.3, and 0.15, respectively. Those skilled in the art can set the weights according to their needs; this embodiment does not impose any limitations.

[0085] In one possible implementation, decomposing the task according to the power supply state and assigning it to the main computing unit and / or the slave computing unit for execution includes:

[0086] When the reporting task is obtained from the computing unit, the data to be reported is sent to the main computing unit via short-range wireless communication.

[0087] The main computing unit reports data via long-distance wireless communication.

[0088] In the implementation of this application embodiment, when the master-slave computing unit division is completed, all long-distance wireless communication tasks are completed by the master computing unit. The reason is that the power consumption of long-distance wireless communication is much higher than that of short-distance wireless communication. Therefore, sending through the master computing unit can effectively reduce the power consumption of the slave computing unit, thereby ensuring that the slave computing unit powered by supercapacitors and batteries can be used for a longer time.

[0089] In one possible implementation, decomposing the task according to the power supply state and allocating it to the main computing unit and / or the slave computing unit for execution further includes:

[0090] The main computing unit breaks down the task into local tasks and collaborative tasks; the local task is a task that the smart fuse does not need to obtain data from other smart fuses to complete; the collaborative task is a task that the smart fuse needs to obtain data from other smart fuses to complete.

[0091] Each of the aforementioned smart circuit breakers completes its local task, and the main computing unit assigns collaborative tasks to itself and combines them with its own local tasks to form a task queue; the local tasks in the task queue have a higher priority than the collaborative tasks.

[0092] When the main computing unit receives data sent by the slave computing unit and performs collaborative task calculations, if the number of local tasks in the task queue is at least one and the completion level of the current collaborative task exceeds a preset value, the current collaborative task is interrupted and the data at the time of interruption is sent to the slave computing unit to continue calculation.

[0093] In the implementation of this application embodiment, local tasks refer to tasks that the smart fuse itself can complete, such as local communication tasks, data acquisition tasks, and load factor calculation tasks. Collaborative tasks, on the other hand, require data from at least two smart fuses for calculation. Generally, each smart fuse can complete its local task, and the main computing unit can then complete the collaborative task. However, in actual use, the priority of local tasks is generally higher than that of collaborative tasks. This is mainly because collaborative tasks are generally data calculation tasks with less stringent timeliness requirements, while local data acquisition tasks have certain timeliness requirements. Therefore, in this application embodiment, a task queue is constructed at the main computing unit. In this task queue, the priority of local tasks is always higher than that of collaborative tasks. That is, if there are collaborative tasks in the task queue, newly received local tasks will be placed at the top of the queue to ensure the timeliness of local tasks. However, some collaborative tasks have longer calculation times. In this case, if the number of local tasks in the task queue is at least [number missing], [the priority will be higher]. If there is only one task, the completion level of the current collaborative task needs to be analyzed. If the completion level is high, the computational data of the collaborative task is packaged and sent to the slave computing unit for continued computation, while the master computing unit starts executing the local tasks in the queue to ensure the timeliness of the local tasks. In this way, the computational workload of the collaborative tasks assigned by the master computing unit to the slave computing unit is not too large, while ensuring the timeliness of the local tasks of the master computing unit. When setting this preset value, different settings can be made according to different collaborative tasks. For example, when a calculation process is divided into multiple steps, the completion level of the collaborative task is considered to have reached the preset value when more than 80% of the steps have been completed.

[0094] For example, this application embodiment provides a specific master-slave unit allocation and calculation process for a substation. Three intelligent vacuum fuses (A-phase, B-phase, and C-phase) are configured on the three-phase lines of the substation, each with CT power supply function and a 32-bit frequency converter. The three intelligent vacuum fuses communicate with each other via Bluetooth, and report data to the fusion terminal via LoRa.

[0095] In the master-slave unit allocation, phase A's smart fuse is powered by the CT, with a current of 45A, supercapacitor charge of 100%, CPU load rate of 25%, LORA signal strength of -65dBm, and signal standard deviation of 2dB. Phase B's smart fuse is powered by the supercapacitor, with a charge of 60%, CPU load rate of 35%, LORA signal strength of -70dBm, and signal standard deviation of 3dB. Phase C's smart fuse is powered by the battery, with a charge of 80%, CPU load rate of 15%, LORA signal strength of -75dBm, and signal standard deviation of 4dB. Based on the above calculation formula, the score for each phase is calculated. Phase A's score is greater than Phase B's score, which is greater than Phase C's score. Therefore, phase A is the master calculation unit, and phases B and C are slave calculation units.

[0096] In the current state, transformer losses need to be calculated. The local tasks assigned by the main calculation unit include real-time sampling of the phase current and voltage, calculation of the phase load factor, and calculation of the phase reference copper loss. The collaborative tasks include calculation of the three-phase average voltage and current, calculation of negative sequence current, calculation of no-load loss, calculation of unbalanced additional loss, calculation of total loss summary, and data reporting. At this time, each calculation unit completes its local tasks and reports them to the main calculation unit, while the main calculation unit completes the aforementioned collaborative tasks and reports them.

[0097] One hour later, the main computing unit, i.e., the smart fuse of phase A, needs to be reallocated. At this time, the current drawn by the phase A CT drops to 15A, automatically switching to supercapacitor power supply, and the main frequency drops to 120MHz; the current drawn by the phase B CT is 52A and the supercapacitor is fully charged; the phase C line is restored, but the current drawn by the CT has not reached the required level, so it is powered by the supercapacitor. At this time, the supercapacitor capacity is 80%, and the battery power drops to 75%. After reallocation, phase B becomes the main computing unit, and phases A and C become slave computing units.

[0098] Based on the same inventive concept, this application also provides a three-phase coordinated end-side computing system based on vacuum fuses, including smart fuses configured in each phase;

[0099] The smart fuse is configured as follows:

[0100] The power supply status of all phase smart fuses at the same location is obtained, and the smart fuses are divided into master computing units and slave computing units according to the power supply status, computing load and communication environment.

[0101] Obtain the task that needs to be executed, and according to the power supply status, break down the task and allocate it to the main computing unit and / or the slave computing unit for execution;

[0102] The main computing unit is configured as follows:

[0103] After a preset time period, the power supply status of all phase smart fuses at the same location is obtained, and the main computing unit and slave computing unit are re-divided before the task is reassigned for execution.

[0104] In one possible implementation, the smart fuse is further configured as follows:

[0105] The current score of the smart fuse is calculated based on the power supply status, computing load, and communication environment. The smart fuse with the highest score is designated as the master calculation unit, and the other smart fuses are designated as slave calculation units.

[0106] In one possible implementation, the smart fuse is further configured as follows:

[0107] The current score of the smart fuse is calculated according to the following formula:

[0108]

[0109]

[0110]

[0111]

[0112]

[0113]

[0114]

[0115]

[0116]

[0117] In the formula, S is the current score of the smart fuse, α1, α2 and α3 are the evaluation weights, and P t For power supply stability scoring, C t For computing power redundancy scoring, T t For communication stability scoring, P1 is the power supply type score, P2 is the CT power supply stability score, P3 is the backup power supply score, I is the corresponding phase current value, and ΔP c ΔP represents the current percentage of charge in the supercapacitor. b C represents the current percentage of charge of the power supply battery. l S1 represents the computing power utilization rate of the smart fuse, S2 represents the long-distance communication signal strength, and S3 represents the standard deviation of the long-distance communication signal strength.

[0118] In one possible implementation, the computing unit is further configured as follows:

[0119] When a reporting task is received, the data to be reported is sent to the main computing unit via short-range wireless communication.

[0120] The main computing unit is also configured to:

[0121] Data is reported via long-distance wireless communication.

[0122] In one possible implementation, the main computing unit is further configured as follows:

[0123] The task is broken down into local tasks and collaborative tasks; the local task is a task that the smart fuse does not need to obtain data from other smart fuses to complete; the collaborative task is a task that the smart fuse needs to obtain data from other smart fuses to complete.

[0124] The system instructs all the aforementioned smart fuses to complete their local tasks and assign collaborative tasks to themselves, which are then combined with their local tasks to form a task queue; in the task queue, the local tasks have a higher priority than the collaborative tasks.

[0125] When receiving data sent from the computing unit and performing collaborative task calculations, if the number of local tasks in the task queue is at least one and the completion level of the current collaborative task exceeds a preset value, the current collaborative task is interrupted and the data at the time of interruption is sent to the computing unit to continue calculation.

[0126] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0127] In the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative. For instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed may be indirect coupling or communication connection through some interfaces, devices or units, or may be electrical, mechanical or other forms of connection.

[0128] The units described as separate components may or may not be physically separate. As will be apparent to those skilled in the art, the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0129] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0130] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or grid device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0131] The specific embodiments described above further illustrate the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A three-phase coordinated terminal side calculation method based on vacuum fuses, characterized in that, include: Each phase smart fuse obtains the power supply status of all phase smart fuses at the same location, and divides the smart fuse into a master computing unit and a slave computing unit according to the power supply status, computing load and communication environment; The intelligent fuse acquires the task that needs to be executed and, based on the power supply status, breaks down the task and assigns it to the main computing unit and / or the slave computing unit for execution. After a preset time period, the main computing unit obtains the power supply status of all phase smart fuses at the same location, and then reassigns tasks to be executed after re-dividing the main computing unit and slave computing units. The division between master computing units and slave computing units includes: The current score of the smart fuse is calculated based on the power supply status, computing load, and communication environment. The smart fuse with the highest score is designated as the main computing unit, and the other smart fuses are designated as slave computing units. The current score of the smart fuse is calculated according to the following formula: In the formula, S is the current score of the smart fuse, α1, α2 and α3 are the evaluation weights, and P t For power supply stability scoring, C t For computing power redundancy scoring, T t For communication stability scoring, P1 is the power supply type score, P2 is the CT power supply stability score, P3 is the backup power supply score, I is the corresponding phase current value, and ΔP c ΔP represents the current percentage of charge in the supercapacitor. b C represents the current percentage of charge of the power supply battery. l S1 represents the computing power utilization rate of the smart fuse, S2 represents the long-distance communication signal strength, and S3 represents the standard deviation of the long-distance communication signal strength.

2. The three-phase coordinated terminal side calculation method based on vacuum fuses according to claim 1, characterized in that, The task is broken down and assigned to the main computing unit and / or the slave computing unit for execution based on the power supply status, including: When the reporting task is obtained from the computing unit, the data to be reported is sent to the main computing unit via short-range wireless communication. The main computing unit reports data via long-distance wireless communication.

3. The three-phase coordinated terminal side calculation method based on vacuum fuses according to claim 1, characterized in that, The process of breaking down the task and assigning it to the main computing unit and / or the slave computing unit for execution based on the power supply status also includes: The main computing unit breaks down the task into local tasks and collaborative tasks; the local task is a task that the smart fuse does not need to obtain data from other smart fuses to complete; the collaborative task is a task that the smart fuse needs to obtain data from other smart fuses to complete. Each of the aforementioned smart circuit breakers completes its local task, and the main computing unit assigns collaborative tasks to itself and combines them with its own local tasks to form a task queue; the local tasks in the task queue have a higher priority than the collaborative tasks. When the main computing unit receives data sent by the slave computing unit and performs collaborative task calculations, if the number of local tasks in the task queue is at least one and the completion level of the current collaborative task exceeds a preset value, the current collaborative task is interrupted and the data at the time of interruption is sent to the slave computing unit to continue calculation.

4. A three-phase coordinated terminal-side calculation system based on vacuum fuses, characterized in that, This includes smart fuses configured in each phase; The smart fuse is configured as follows: The power supply status of all phase smart fuses at the same location is obtained, and the smart fuses are divided into master computing units and slave computing units according to the power supply status, computing load and communication environment. Obtain the task that needs to be executed, and according to the power supply status, break down the task and allocate it to the main computing unit and / or the slave computing unit for execution; The main computing unit is configured as follows: After a preset time, the power supply status of all phase smart fuses at the same location is obtained, and the main computing unit and slave computing unit are re-divided before the task is reassigned for execution. The smart fuse is also configured to: The current score of the smart fuse is calculated based on the power supply status, computing load, and communication environment. The smart fuse with the highest score is designated as the main computing unit, and the other smart fuses are designated as slave computing units. The smart fuse is also configured to: The current score of the smart fuse is calculated according to the following formula: In the formula, S is the current score of the smart fuse, α1, α2 and α3 are the evaluation weights, and P t For power supply stability scoring, C t For computing power redundancy scoring, T t For communication stability scoring, P1 is the power supply type score, P2 is the CT power supply stability score, P3 is the backup power supply score, I is the corresponding phase current value, and ΔP c ΔP represents the current percentage of charge in the supercapacitor. b C represents the current percentage of charge of the power supply battery. l S1 represents the computing power utilization rate of the smart fuse, S2 represents the long-distance communication signal strength, and S3 represents the standard deviation of the long-distance communication signal strength.

5. The three-phase coordinated end-side calculation system based on a vacuum fuse according to claim 4, characterized in that, The computing unit is further configured to: When a reporting task is received, the data to be reported is sent to the main computing unit via short-range wireless communication. The main computing unit is also configured to: Data is reported via long-distance wireless communication.

6. The three-phase coordinated end-side calculation system based on a vacuum fuse according to claim 4, characterized in that, The main computing unit is also configured to: The task is broken down into local tasks and collaborative tasks; the local task is a task that the smart fuse does not need to obtain data from other smart fuses to complete; the collaborative task is a task that the smart fuse needs to obtain data from other smart fuses to complete. The system instructs all the aforementioned smart fuses to complete their local tasks and assign collaborative tasks to themselves, which are then combined with their local tasks to form a task queue; in the task queue, the local tasks have a higher priority than the collaborative tasks. When receiving data sent from the computing unit and performing collaborative task calculations, if the number of local tasks in the task queue is at least one and the completion level of the current collaborative task exceeds a preset value, the current collaborative task is interrupted and the data at the time of interruption is sent to the computing unit to continue calculation.

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