Low-voltage loop safety protection method, device, equipment and medium

Abstract

The invention discloses a low-voltage loop safety protection method, device and equipment and a medium, and relates to the technical field of power system detection, and the method comprises the steps: carrying out the real-time data collection of a target low-voltage loop, so as to obtain an electrical parameter and a non-electrical parameter corresponding to the target low-voltage loop; analyzing the electrical parameter by using an edge calculation unit in the circuit protection assembly to obtain an electrical abnormal state corresponding to the target low-voltage loop, and analyzing the non-electrical parameter to determine an environmental abnormal state corresponding to the target low-voltage loop; and generating a target control instruction according to the electrical abnormal state, controlling the circuit breaker to be switched on based on the target control instruction, and outputting alarm information according to the environment abnormal state so as to perform safety protection on the target low-voltage loop. The electrical quantity parameters are locally analyzed in real time by using the edge computing unit, so that the problem of response delay caused by cloud processing is solved.

Description

Technical Field

[0001] This invention relates to the field of power system detection technology, and in particular to a method, device, equipment and medium for the safety protection of low-voltage circuits. Background Technology

[0002] With the rapid development of smart grid and Internet of Things (IoT) technologies, the demand for intelligent monitoring of user-side low-voltage distribution networks is becoming increasingly urgent. Currently, in low-voltage power supply circuits, data is typically collected by adding communication units after independent devices such as meters, sensors, and switches. The data is then aggregated to a TTU (Transformer Terminal Unit) or gateway, and finally uploaded to a cloud platform for centralized processing and analysis.

[0003] This approach relies heavily on the cloud-based main station for data processing, resulting in long system response delays when electrical anomalies occur. This makes it impossible to achieve rapid local identification and immediate protection, thus posing safety hazards to low-voltage circuits. Summary of the Invention

[0004] In view of this, the purpose of this invention is to provide a low-voltage circuit safety protection method, device, equipment, and medium that can perform local real-time analysis of electrical parameters using an edge computing unit, thus solving the response delay problem caused by reliance on cloud processing. The specific solution is as follows:

[0005] In a first aspect, this application provides a low-voltage circuit safety protection method, including:

[0006] The target circuit protection components in the target low-voltage circuit are used to collect real-time data of the target low-voltage circuit in order to obtain the electrical and non-electrical parameters corresponding to the target low-voltage circuit.

[0007] The electrical quantity parameters are analyzed using the edge computing unit in the target circuit protection component to obtain the electrical abnormal state corresponding to the target low-voltage circuit, and the non-electrical quantity parameters are analyzed to determine the environmental abnormal state corresponding to the target low-voltage circuit.

[0008] Based on the electrical abnormality, a target control command is generated, and based on the target control command, the circuit breaker in the target low-voltage circuit is controlled to open. Corresponding alarm information is output according to the environmental abnormality, so as to achieve safety protection for the target low-voltage circuit.

[0009] Optionally, before performing real-time data acquisition of the target low-voltage circuit using the target circuit protection component in the target low-voltage circuit, the method further includes:

[0010] The target circuit protection component is determined from several initial circuit protection components based on the size of the distribution box corresponding to the target low-voltage circuit and the monitoring requirements.

[0011] Install the target circuit protection component at the target location in the target distribution box, and make electrical connections between the target circuit protection component and the target low-voltage circuit.

[0012] Optionally, the step of using the edge computing unit in the target circuit protection component to analyze the electrical quantity parameters to obtain the electrical abnormal state corresponding to the target low-voltage circuit includes:

[0013] Determine whether the current value in the electrical quantity parameter is continuously greater than the preset current safety threshold within a preset time period. If the current value is continuously greater than the preset current safety threshold within the preset time period, then determine the state of the target low-voltage circuit as an overload abnormal state.

[0014] Determine whether the current value in the electrical quantity parameter is less than a preset short-circuit current threshold. If the current value is not less than the preset short-circuit current threshold, then the state of the target low-voltage circuit is determined to be a short-circuit abnormal state.

[0015] Optionally, generating the target control command based on the electrical anomaly includes:

[0016] If the electrical abnormality is an overload abnormality, a first control command is generated, and the first control command is determined as the target control command.

[0017] If the electrical abnormality is a short-circuit abnormality, a second control command is generated and the second control command is determined as the target control command; wherein the trigger duration of the second control command is less than the trigger duration of the first control command.

[0018] Optionally, controlling the circuit breaker in the target low-voltage circuit to open based on the target control command includes:

[0019] The target control command is converted into a passive dry contact signal using the target circuit protection component, and the passive dry contact signal is output to the trip coil circuit of the circuit breaker to control the circuit breaker in the target low-voltage circuit to open.

[0020] Optionally, the low-voltage circuit safety protection method further includes:

[0021] Based on the electrical quantity parameters, energy consumption behavior analysis data of the target user is obtained, and a corresponding first abnormal event record is generated according to the electrical abnormal state, and a corresponding second abnormal event record is generated according to the environmental abnormal state; wherein, the abnormal event record includes the abnormal occurrence time, abnormal type and parameters corresponding to the abnormal state;

[0022] The abnormal event records and energy consumption behavior analysis data are uploaded to the target cloud platform using the target circuit protection component and the target Internet of Things protocol.

[0023] Optionally, the step of obtaining energy consumption behavior analysis data of the target user based on the electrical quantity parameters includes:

[0024] The edge computing unit is used to analyze the electrical quantity parameters to obtain user power consumption data and real-time power data;

[0025] The user electricity consumption data and the real-time power data are periodically analyzed to determine the user's electricity consumption pattern and peak electricity consumption period, and the energy consumption behavior analysis data is obtained based on the user's electricity consumption pattern and the peak electricity consumption period.

[0026] Secondly, this application provides a low-voltage circuit safety protection device, comprising:

[0027] The data acquisition module is used to acquire real-time data of the target low-voltage circuit using the target circuit protection components in the target low-voltage circuit, so as to obtain the electrical and non-electrical parameters corresponding to the target low-voltage circuit.

[0028] The parameter analysis module is used to analyze the electrical quantity parameters using the edge computing unit in the target circuit protection component to obtain the electrical abnormal state corresponding to the target low-voltage circuit, and to analyze the non-electrical quantity parameters to determine the environmental abnormal state corresponding to the target low-voltage circuit.

[0029] The circuit protection module is used to generate target control commands based on the electrical abnormality, control the circuit breaker in the target low-voltage circuit to open based on the target control commands, and output corresponding alarm information according to the environmental abnormality to achieve safety protection for the target low-voltage circuit.

[0030] Thirdly, this application provides an electronic device, comprising:

[0031] Memory, used to store computer programs;

[0032] A processor is used to execute the computer program to implement the aforementioned low-voltage circuit safety protection method.

[0033] Fourthly, this application provides a computer-readable storage medium for storing a computer program that, when executed by a processor, implements the aforementioned low-voltage circuit safety protection method.

[0034] This application first utilizes a target circuit protection component within the target low-voltage circuit to acquire real-time data from the target low-voltage circuit, obtaining corresponding electrical and non-electrical parameters. Then, it uses an edge computing unit within the target circuit protection component to analyze the electrical parameters to obtain the corresponding electrical anomaly state of the target low-voltage circuit, and analyzes the non-electrical parameters to determine the corresponding environmental anomaly state. Finally, it generates a target control command based on the electrical anomaly state, controls the circuit breaker in the target low-voltage circuit to open based on the target control command, and outputs corresponding alarm information based on the environmental anomaly state, thereby achieving safety protection for the target low-voltage circuit. Thus, this application, by utilizing an edge computing unit to perform local real-time analysis of electrical parameters, quickly obtains electrical anomaly states, and immediately generates control commands to drive the circuit breaker to open, achieves millisecond-level fault identification and isolation, solving the response delay problem caused by reliance on cloud processing. Simultaneously, by analyzing non-electrical parameters to determine environmental anomalies and outputting alarm information, it achieves integrated monitoring and protection of electrical and environmental safety, improving the comprehensiveness and reliability of low-voltage circuit safety protection. Attached Figure Description

[0035] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0036] Figure 1 This is a flowchart of a low-voltage circuit safety protection method disclosed in this application;

[0037] Figure 2 This application discloses a flowchart for monitoring a low-voltage circuit.

[0038] Figure 3 This is a schematic diagram of the structure of a low-voltage circuit safety protection device disclosed in this application;

[0039] Figure 4 This is a structural diagram of an electronic device disclosed in this application. Detailed Implementation

[0040] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0041] Current circuit safety protection methods heavily rely on cloud-based master stations, resulting in long system response delays when electrical anomalies occur, hindering rapid local identification and immediate protection, and exposing low-voltage circuits to safety hazards. To address this, this application provides a low-voltage circuit safety protection method that utilizes edge computing units to perform local real-time analysis of electrical parameters, resolving the response delay problem caused by reliance on cloud processing.

[0042] See Figure 1 As shown, this embodiment of the invention discloses a low-voltage circuit safety protection method, including:

[0043] Step S11: Use the target circuit protection component in the target low-voltage circuit to collect real-time data of the target low-voltage circuit to obtain the electrical and non-electrical parameters corresponding to the target low-voltage circuit.

[0044] In this embodiment, the method for providing safety protection and remote control of the low-voltage circuit is as follows: Figure 2 As shown, the system includes: configuring an integrated intelligent sensing device (i.e., a target circuit protection component) in the low-voltage circuit; using the integrated intelligent sensing device to collect electrical quantity parameters and non-electrical quantity environmental parameters in the low-voltage circuit in real time; the integrated intelligent sensing device, based on its built-in edge computing unit, performs real-time analysis on the collected electrical quantity parameters to identify electrical abnormalities in the low-voltage circuit, and performs energy consumption behavior analysis on the electrical quantity parameters to generate energy consumption behavior analysis data; when an electrical abnormality is detected, the edge computing unit generates control commands according to a preset control strategy; when an abnormality in non-electrical quantity environmental parameters is detected, an alarm command is generated; the integrated intelligent sensing device executes the control commands, outputs switching signals to the circuit breaker or contactor in the low-voltage circuit to control its tripping, and / or outputs alarm commands; the integrated intelligent sensing device uploads the event records of electrical abnormalities, environmental parameter abnormality records, corresponding electrical quantity parameter data, and energy consumption behavior analysis data to a cloud platform.

[0045] This embodiment first requires real-time data acquisition of the target low-voltage circuit using the target circuit protection component in the target low-voltage circuit. The specific acquisition process is as follows: Voltage and current signals on the low-voltage circuit busbar or line are acquired through the electrical quantity acquisition module pre-configured in the integrated intelligent sensing device; switch quantity environmental parameters are acquired through the switch quantity input module pre-configured in the integrated intelligent sensing device, which are status signals from temperature and humidity sensors, access control sensors, water immersion sensors, or cabinet door status sensors; analog quantity environmental parameters, including ambient temperature data, are acquired through the analog quantity input module pre-configured in the integrated intelligent sensing device.

[0046] Specifically, after the integrated intelligent sensing device is powered on, the various modules begin to work collaboratively. The electrical quantity acquisition module synchronously acquires three-phase voltage and current signals at a high sampling rate and performs preliminary processing. The digital input module and analog input module periodically scan all connected sensor channels. From the digital input module, it cyclically reads and updates status signals such as temperature and humidity over-limit alarms, access control switches, water immersion alarms, and cabinet door opening and closing. From the analog input module, it reads analog signals from analog temperature sensors and converts them into actual ambient temperature data values ​​through the built-in A / D conversion and calculation program. The management module summarizes and packages all these acquired electrical and non-electrical environmental parameters and sends them to the built-in edge computing unit for subsequent analysis.

[0047] It is understood that the electrical parameters in this embodiment include voltage and current signals on the low-voltage circuit busbar or line; the non-electrical parameters include status signals from temperature and humidity sensors, access control sensors, water immersion sensors or cabinet door status sensors, and ambient temperature data.

[0048] In this embodiment, before using the target circuit protection component in the target low-voltage circuit to collect real-time data from the target low-voltage circuit, the method further includes: determining the target circuit protection component from several initial circuit protection components based on the size of the distribution box space corresponding to the target low-voltage circuit and the monitoring requirements; installing the target circuit protection component at the target location in the target distribution box; and electrically connecting the target circuit protection component and the target low-voltage circuit.

[0049] Specifically, based on the actual installation space of the target low-voltage distribution box or cabinet and the monitoring requirements (such as whether water immersion monitoring or high-precision temperature measurement is required), select an integrated intelligent sensing device with corresponding functional module combinations. This device adopts a modular design, and its basic configuration should include a metering module, a management module, and a communication module. Depending on the requirements, a digital input (DI) module or an analog input (AI) module can be selected for the management module. Securely install the selected integrated intelligent sensing device in a suitable location inside the distribution box or cabinet. The electrical connections are then made. The voltage sampling line of the device's electrical quantity acquisition module (belonging to the metering module) is connected in parallel to the busbar or line of the low-voltage circuit. The current sampling line is connected in series or via a miniature current transformer to the phase line to achieve real-time acquisition of voltage and current signals. The output terminals of the temperature and humidity sensor (for environmental monitoring), access control sensor (installed at the entrance of the power distribution room), water immersion sensor (placed in the cable trench or at the bottom of the cabinet), and cabinet door status sensor (installed on the power distribution cabinet door) are connected to the corresponding interfaces of the device's digital input module. These sensors provide on / off status signals. The output signal line of the analog temperature sensor (such as a PT100 RTD or a 4-20mA output temperature transmitter) is connected to the corresponding terminal of the device's analog input module to collect continuously changing ambient temperature data, providing power to the device. Simultaneously, the control output terminals of its digital output (DO) module are led to the tripping control coil circuit of the low-voltage circuit breaker or contactor, preparing for subsequent protection control.

[0050] Step S12: Analyze the electrical quantity parameters using the edge computing unit in the target circuit protection component to obtain the electrical abnormal state corresponding to the target low-voltage circuit, and analyze the non-electrical quantity parameters to determine the environmental abnormal state corresponding to the target low-voltage circuit.

[0051] In this embodiment, the edge computing unit in the target circuit protection component is used to analyze the electrical quantity parameters to obtain the electrical abnormal state corresponding to the target low-voltage circuit. This includes: determining whether the current value in the electrical quantity parameters is continuously greater than a preset current safety threshold within a preset time period; if the current value is continuously greater than the preset current safety threshold within the preset time period, the state of the target low-voltage circuit is determined to be an overload abnormal state; and determining whether the current value in the electrical quantity parameters is less than a preset short-circuit current threshold; if the current value is not less than the preset short-circuit current threshold, the state of the target low-voltage circuit is determined to be a short-circuit abnormal state.

[0052] That is, the edge computing unit continuously receives real-time collected electrical quantity parameters, which include at least current and voltage; compares the real-time collected current value with a preset current safety threshold; if the current value continuously exceeds the current safety threshold, it is identified as an overload abnormal state; compares the real-time collected current value with a preset short-circuit current threshold; if the current value instantaneously reaches or exceeds the short-circuit current threshold, it is identified as a short-circuit abnormal state.

[0053] Specifically, the management module of the integrated intelligent sensing device streams real-time electrical parameters such as voltage and current to the built-in edge computing unit. This edge computing unit runs a pre-set fault detection algorithm, which analyzes N current sampling points for each power frequency cycle. Calculations are performed to obtain the effective value of the current in the current cycle. :

[0054] ;

[0055] The system will continuously calculate With the preset current safety threshold Comparison is made when there are M consecutive cycles (e.g., M corresponds to 5-10 seconds, to avoid short-term overcurrent such as normal motor startup) All meet If this occurs, it is determined to be an overload abnormality;

[0056] Short-circuit protection emphasizes speed of action, typically comparing the instantaneous current value or the effective value of a half-cycle with a higher threshold. The fault detection algorithm samples the instantaneous current value at each sampling point k. Compared with the preset short-circuit current threshold In comparison, this threshold is typically set much higher than the overload threshold (e.g., more than 10 times the rated current). If a short circuit is detected, it is determined that an abnormal short circuit has occurred. To prevent interference, it is usually required that 2-3 consecutive sampling points meet the above conditions, in which case a short circuit is immediately detected and a trip command is issued.

[0057] By integrating the collection, analysis, and alarm functions of electrical parameters with those of non-electrical environmental parameters, the device can not only detect electrical faults such as overload and short circuit, but also promptly identify potential environmental safety hazards. This constructs a multi-dimensional comprehensive safety monitoring and protection system, greatly enhancing the ability to fully perceive the status of low-voltage power distribution systems.

[0058] Step S13: Generate a target control command based on the electrical abnormality state, control the circuit breaker in the target low-voltage circuit to open based on the target control command, and output corresponding alarm information according to the environmental abnormality state to achieve safety protection for the target low-voltage circuit.

[0059] In this embodiment, the process of generating a target control command based on an electrical abnormality includes: if the electrical abnormality is an overload abnormality, generating a first control command and determining the first control command as the target control command; if the electrical abnormality is a short circuit abnormality, generating a second control command and determining the second control command as the target control command; wherein the triggering duration of the second control command is less than the triggering duration of the first control command.

[0060] Furthermore, the process of controlling the circuit breaker in the target low-voltage circuit to open based on the target control command can specifically include: using the target circuit protection component to convert the target control command into a passive dry contact signal, and outputting the passive dry contact signal to the circuit breaker's tripping coil circuit to control the circuit breaker in the target low-voltage circuit to open. That is, when an overload abnormal state is detected, the edge computing unit generates a first control command to drive the circuit breaker or contactor to trip according to a first preset control strategy; when a short-circuit abnormal state is detected, the edge computing unit generates a second control command to drive the circuit breaker or contactor to trip according to a second preset control strategy. The integrated intelligent sensing device's built-in management module receives the first or second control command generated by the edge computing unit; the management module drives its internal switch output circuit to convert the first or second control command into a passive dry contact signal; the passive dry contact signal is output to the circuit breaker or contactor's tripping control coil circuit, making the circuit conductive, thereby driving the circuit breaker or contactor to perform the tripping operation.

[0061] In other words, different control strategies are pre-stored within the edge computing unit. When an overload abnormal state is detected, the edge computing unit immediately calls the first preset control strategy, which is to immediately trip the circuit breaker. This generates a high-level first control command (trip signal 1). When a more critical short-circuit abnormal state is detected, the unit calls the second preset control strategy, which requires a higher response speed. This strategy is to instantaneously trip the circuit breaker and generates a higher-priority second control command (trip signal 2). The generated trip command is immediately sent to the management module of the integrated intelligent sensing device. The management module then drives its digital output (DO) circuit to maintain a passive dry contact signal (such as DC24V) for a sufficient time (such as 500ms) to ensure that the tripping coil of the circuit breaker or contactor in the low-voltage circuit is reliably energized, thereby performing the tripping operation and achieving fault isolation.

[0062] Specifically, the management module of the integrated intelligent sensing device continuously listens for and receives instructions from the edge computing unit via an internal bus. Upon receiving a first control instruction or a second control instruction with higher priority, the firmware within the management module immediately interrupts its current secondary task, parses the instruction, confirms it as a tripping command for the target circuit breaker, and then calls its digital output (DO) driver library to drive a specific digital output circuit on its internal hardware. This circuit consists of an optocoupler isolator and a high-power MOSFET (Metal Oxide Semiconductor Field Effect Transistor). A transistor (metal-oxide-semiconductor field-effect transistor) or relay is used to drive an output circuit. A drive command activates the output circuit, applying a DC 24V (or AC 220V) voltage from an internal power supply to the physical output terminal. This converts a logic 1 (high level) command into an electrically isolated passive dry contact signal with actual driving capability. The passive dry contact signal is then directly introduced to the tripping control coil (tripping coil) of the circuit breaker or contactor in the low-voltage distribution cabinet via a pre-laid control cable. The dry contact is connected in series with the coil circuit. Its conduction is equivalent to closing the power supply circuit of the coil. After the coil is energized, it generates sufficient electromagnetic force to drive the mechanical tripping mechanism of the circuit breaker to act instantaneously, thereby forcibly separating the main contacts of the circuit breaker and completing the tripping operation. Ultimately, it achieves safe and reliable isolation of the fault circuit. While driving the output circuit, the management module can be configured with a digital input (DI) channel to monitor a pair of auxiliary normally closed contacts of the circuit breaker. When the management module detects that the state of the auxiliary contacts changes from closed to open, it can confirm that the circuit breaker has been successfully tripped.

[0063] By utilizing edge computing units to perform real-time analysis of electrical parameters locally and quickly identify abnormal states, control commands are immediately generated and executed to drive the circuit breaker to trip, achieving a rapid closed loop from fault identification to isolation. This overcomes the communication delay problem caused by the reliance on cloud master station decision-making in traditional solutions, and significantly reduces the risk of electrical fires and other safety accidents caused by slow response.

[0064] In addition, in this embodiment, energy consumption behavior analysis data of the target user can be obtained based on electrical quantity parameters, a corresponding first abnormal event record can be generated according to the abnormal electrical state, and a corresponding second abnormal event record can be generated according to the abnormal environmental state; wherein, the abnormal event record includes the abnormal occurrence time, abnormal type and parameters corresponding to the abnormal state; the abnormal event record and energy consumption behavior analysis data are uploaded to the target cloud platform using the target circuit protection component and the target Internet of Things protocol.

[0065] The process of recording abnormal events and uploading corresponding electrical quantity parameter data includes: the management module of the integrated intelligent sensing device generates an event record containing the abnormality type, occurrence time, and electrical quantity parameters after identifying an abnormal state or executing a control command; the management module sends the event record to the communication module configured within the integrated intelligent sensing device; the communication module encapsulates the event record according to the standard IoT platform object model format; and the encapsulated data is uploaded to the cloud platform via a wireless communication network.

[0066] Specifically, when the edge computing unit detects any electrical anomaly (such as overload or short circuit) or abnormal environmental parameters (such as excessive temperature or security anomalies), or executes a control command (such as tripping the circuit breaker), it will immediately notify the management module. The management module will then generate a structured event record, which is a data packet containing at least key fields, such as event type (such as overload tripping), event level (such as emergency), precise timestamp of occurrence, and key electrical parameters (such as instantaneous and effective values ​​of current and voltage at the time of event triggering) for a period of time before and after the event. At the same time, the management module will package the periodically generated energy consumption behavior analysis data (such as daily electricity consumption, load curve, and peak period identifier) ​​together with the above event record, ready for uploading.

[0067] The management module sends the packaged data to the communication module. The communication module is pre-installed with a device-side SDK (Software Development Kit) that interfaces with the target cloud platform (such as Alibaba Cloud IoT Platform or Tencent Cloud IoT Development Platform). This SDK encapsulates the data according to the standard object model defined in the cloud platform. For example, it maps an overload trip event to a fault alarm service in the object model and maps the current value to an attribute. The data is organized strictly according to the JSON format required by the platform. This ensures that the uploaded data can be seamlessly parsed and understood by the cloud platform without the need for complex and error-prone secondary parsing on the platform side.

[0068] The encapsulated standard data packets are transmitted through wireless communication networks supported by the communication module (such as 4GCat.1, NB-IoT, or LoRa). The communication module is responsible for establishing a secure connection with the wireless network (usually using TLS / SSL encryption) and publishing the data to the Topic or data interface specified by the cloud platform for the device through IoT protocols such as MQTT (Message Queuing Telemetry Transport) or HTTPS (Hypertext Transfer Protocol Secure). To ensure data reliability, the communication module can implement reconnection after disconnection and message caching mechanisms. When the network is temporarily interrupted, the data is temporarily stored locally and resent first after the network is restored.

[0069] The process of obtaining energy consumption behavior analysis data of target users based on the electrical quantity parameters includes: using an edge computing unit to analyze the electrical quantity parameters to obtain user electricity consumption data and real-time power data; performing periodic analysis on the user electricity consumption data and the real-time power data to determine the user's electricity consumption pattern and peak electricity consumption period, and obtaining energy consumption behavior analysis data based on the user's electricity consumption pattern and the peak electricity consumption period.

[0070] That is, the edge computing unit calculates the real-time power data and electricity consumption data of the user load based on the electrical quantity parameters collected in real time; performs statistical and periodic analysis on the real-time power data to identify the typical electricity consumption patterns and peak periods of the user load; and generates energy behavior analysis data for evaluating energy efficiency levels and supporting load regulation based on the electricity consumption patterns and peak periods.

[0071] Specifically, within the parallel thread, the edge computing unit also executes energy efficiency analysis tasks. These tasks are performed on a minute or hourly basis. Based on the collected instantaneous values ​​of voltage and current, the edge computing unit calculates real-time power data such as active power, reactive power, and apparent power of the user load. It also integrates the active power to accumulate electricity consumption data. The algorithm performs statistical and periodic analysis on the calculated active power time series data. By analyzing the power curves over multiple consecutive days (such as a week), it automatically identifies typical electricity consumption patterns of the user load (such as a production pattern with high power during the day and low power at night, or a business model with peak power at night). At the same time, by comparing the intraday power with the average power level, it determines the daily peak electricity consumption period. Finally, the edge computing unit packages the above analysis results, including typical electricity consumption pattern characteristics, daily / monthly electricity consumption, determined peak periods, and average load rate, to generate structured energy behavior analysis data. This data directly serves the energy efficiency assessment report and provides key basis for load forecasting and regulation of the virtual power plant.

[0072] In addition, the alarm information generation process in this embodiment includes: the edge computing unit continuously receives non-electrical environmental parameters collected by the integrated intelligent sensing device, the non-electrical environmental parameters including at least ambient temperature data and cabinet door open / close status; the real-time collected ambient temperature is compared with a preset temperature safety threshold, and if the ambient temperature exceeds the temperature safety threshold, it is identified as a temperature anomaly; based on the real-time collected cabinet door open / close status, if the cabinet door is identified as being in an unauthorized open state, it is identified as a security anomaly; when a temperature anomaly or a security anomaly is identified, the edge computing unit generates an alarm command containing the specific anomaly type.

[0073] Specifically, the edge computing unit processes environmental parameters in parallel. This module periodically reads the ambient temperature data collected by the analog input module and compares it with the preset temperature safety threshold (such as 65°C, which can be set according to the power distribution cabinet specifications). If the temperature exceeds the limit for several consecutive cycles, an abnormal temperature is confirmed. At the same time, it scans the cabinet door opening and closing status transmitted by the digital input module. If an opening signal is detected outside the preset maintenance period, a security abnormality is confirmed. Once any type of environmental abnormality is confirmed, the edge computing unit will generate a structured alarm command. This command is not only a trigger signal, but also a complete data packet containing information such as the specific abnormality type (such as temperature exceeding the limit or illegal opening of the cabinet door), the time of occurrence, and the severity level. This alarm command is uploaded to the cloud platform first through the communication module and can trigger the local sound and light alarm of the device according to the preset, notifying on-site personnel.

[0074] By integrating the functions of smart gateways, monitoring terminals, and multiple sensors into a single device, the number of devices and communication layers are reduced. At the same time, edge computing alleviates the data processing pressure on the cloud platform, and the standardized object model simplifies the complexity of system integration, thereby effectively reducing the total lifecycle cost in terms of hardware investment, communication traffic, and system operation and maintenance.

[0075] Therefore, this application utilizes edge computing units to perform local real-time analysis of electrical parameters, quickly obtains abnormal electrical states, and immediately generates control commands to drive the circuit breaker to open, achieving millisecond-level fault identification and isolation, and solving the response delay problem caused by relying on cloud processing. At the same time, by analyzing non-electrical parameters to determine abnormal environmental states and output alarm information, it realizes integrated monitoring and protection of electrical and environmental safety, improving the comprehensiveness and reliability of low-voltage circuit safety protection.

[0076] See Figure 3 As shown, an embodiment of the present invention discloses a low-voltage circuit safety protection device, comprising:

[0077] Data acquisition module 11 is used to acquire real-time data of the target low-voltage circuit using the target circuit protection component in the target low-voltage circuit, so as to obtain the electrical quantity parameters and non-electrical quantity parameters corresponding to the target low-voltage circuit;

[0078] The parameter analysis module 12 is used to analyze the electrical quantity parameters using the edge computing unit in the target circuit protection component to obtain the electrical abnormal state corresponding to the target low-voltage circuit, and to analyze the non-electrical quantity parameters to determine the environmental abnormal state corresponding to the target low-voltage circuit.

[0079] The circuit protection module 13 is used to generate target control commands based on the electrical abnormality, control the circuit breaker in the target low-voltage circuit to open based on the target control commands, and output corresponding alarm information according to the environmental abnormality to achieve safety protection for the target low-voltage circuit.

[0080] In some specific embodiments, the data acquisition module 11 further includes:

[0081] The component determination unit is used to determine the target circuit protection component from a number of initial circuit protection components based on the size of the distribution box corresponding to the target low-voltage circuit and the monitoring requirements.

[0082] The component installation unit is used to install the target circuit protection component to the target location in the target distribution box and to make electrical connections between the target circuit protection component and the target low-voltage circuit.

[0083] In some specific embodiments, the parameter analysis module 12 may specifically include:

[0084] The first state determination unit is used to determine whether the current value in the electrical quantity parameter is continuously greater than the preset current safety threshold within a preset time period. If the current value is continuously greater than the preset current safety threshold within the preset time period, the state of the target low-voltage circuit is determined to be an overload abnormal state.

[0085] The second state determination unit is used to determine whether the current value in the electrical quantity parameter is less than a preset short-circuit current threshold. If the current value is not less than the preset short-circuit current threshold, the state of the target low-voltage circuit is determined to be a short-circuit abnormal state.

[0086] In some specific embodiments, the circuit protection module 13 may specifically include:

[0087] The first instruction generation unit is configured to generate a first control instruction if the electrical abnormality is an overload abnormality, and to determine the first control instruction as the target control instruction.

[0088] The second instruction generation unit is configured to generate a second control instruction if the electrical abnormality is a short-circuit abnormality, and to determine the second control instruction as the target control instruction; wherein the trigger duration of the second control instruction is less than the trigger duration of the first control instruction.

[0089] In some specific embodiments, the circuit protection module 13 may specifically include:

[0090] The signal output unit is used to convert the target control command into a passive dry contact signal using the target circuit protection component, and output the passive dry contact signal to the trip coil circuit of the circuit breaker to control the circuit breaker in the target low-voltage circuit to open.

[0091] In some specific embodiments, the low-voltage circuit safety protection device further includes:

[0092] The record generation submodule is used to obtain energy consumption behavior analysis data of the target user based on the electrical quantity parameters, generate a corresponding first abnormal event record according to the electrical abnormal state, and generate a corresponding second abnormal event record according to the environmental abnormal state; wherein, the abnormal event record includes the abnormal occurrence time, abnormal type and parameters corresponding to the abnormal state;

[0093] The data upload unit is used to upload abnormal event records and energy consumption behavior analysis data to the target cloud platform using the target circuit protection component and the target Internet of Things protocol.

[0094] In some specific embodiments, the record generation submodule may specifically include:

[0095] A real-time power data acquisition unit is used to analyze the electrical quantity parameters using the edge computing unit to obtain user power consumption data and real-time power data;

[0096] The real-time power data analysis unit is used to periodically analyze the user's electricity consumption data and the real-time power data to determine the user's electricity consumption pattern and peak electricity consumption period, and to obtain the energy consumption behavior analysis data based on the user's electricity consumption pattern and the peak electricity consumption period.

[0097] Furthermore, embodiments of this application also disclose an electronic device, Figure 4 This is a structural diagram of an electronic device 20 according to an exemplary embodiment. The content of the diagram should not be construed as limiting the scope of this application.

[0098] Figure 4This is a schematic diagram of the structure of an electronic device 20 provided in an embodiment of this application. Specifically, the electronic device 20 may include: at least one processor 21, at least one memory 22, a power supply 23, a communication interface 24, an input / output interface 25, and a communication bus 26. The memory 22 stores a computer program, which is loaded and executed by the processor 21 to implement the relevant steps in the low-voltage circuit safety protection method disclosed in any of the foregoing embodiments. Alternatively, the electronic device 20 in this embodiment may specifically be an electronic computer.

[0099] In this embodiment, the power supply 23 is used to provide operating voltage for each hardware device on the electronic device 20; the communication interface 24 can create a data transmission channel between the electronic device 20 and external devices, and the communication protocol it follows can be any communication protocol applicable to the technical solution of this application, and is not specifically limited here; the input / output interface 25 is used to acquire external input data or output data to the outside world, and its specific interface type can be selected according to specific application needs, and is not specifically limited here.

[0100] In addition, the memory 22, as a carrier for resource storage, can be a read-only memory, random access memory, disk or optical disk, etc. The resources stored thereon can include operating system 221, computer program 222, etc., and the storage method can be temporary storage or permanent storage.

[0101] The operating system 221 is used to manage and control the various hardware devices on the electronic device 20 and the computer program 222, which may be Windows Server, Netware, Unix, Linux, etc. In addition to including a computer program capable of performing the low-voltage circuit safety protection method executed by the electronic device 20 as disclosed in any of the foregoing embodiments, the computer program 222 may further include a computer program capable of performing other specific tasks.

[0102] Furthermore, this application also discloses a computer-readable storage medium for storing a computer program; wherein, when the computer program is executed by a processor, it implements the aforementioned low-voltage circuit safety protection method. Specific steps of this method can be found in the corresponding content disclosed in the foregoing embodiments, and will not be repeated here.

[0103] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the apparatus disclosed in the embodiments, since it corresponds to the method disclosed in the embodiments, the description is relatively simple; relevant parts can be referred to in the method section.

[0104] Those skilled in the art will further 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 implementation should not be considered beyond the scope of this application.

[0105] The steps of the methods or algorithms described in conjunction with the embodiments disclosed herein can be implemented directly by hardware, a software module executed by a processor, or a combination of both. The software module can be located in random access memory (RAM), main memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or any other form of storage medium known in the art.

[0106] Finally, it should be noted that in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0107] The technical solutions provided in this application have been described in detail above. Specific examples have been used to illustrate the principles and implementation methods of this application. The descriptions of the above embodiments are only for the purpose of helping to understand the methods and core ideas of this application. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of this application. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A low pressure circuit protection method, characterized in that, The application relates to a method for realizing real-time data acquisition and analysis of a target low-voltage circuit. The method comprises the following steps: real-time data acquisition of the target low-voltage circuit by a target circuit protection component in the target low-voltage circuit to obtain electrical quantity parameters and non-electrical quantity parameters corresponding to the target low-voltage circuit; analysis of the electrical quantity parameters by an edge computing unit in the target circuit protection component to obtain an electrical abnormal state corresponding to the target low-voltage circuit, and analysis of the non-electrical quantity parameters to determine an environmental abnormal state corresponding to the target low-voltage circuit; 2. The low-pressure circuit protection method according to claim 1, characterized in that, generation of a target control instruction according to the electrical abnormal state, control of a circuit breaker in the target low-voltage circuit based on the target control instruction, and output of corresponding alarm information according to the environmental abnormal state to realize safety protection of the target low-voltage circuit. Before the real-time data acquisition of the target low-voltage circuit by the target circuit protection component, the method further comprises the following steps: determination of the target circuit protection component from a plurality of initial circuit protection components based on the space size of a distribution box corresponding to the target low-voltage circuit and monitoring requirements; 3. The low pressure circuit protection method of claim 1, wherein, installation of the target circuit protection component to a target position in a target distribution box and electrical connection of the target circuit protection component and the target low-voltage circuit. The analysis of the electrical quantity parameters by the edge computing unit in the target circuit protection component to obtain the electrical abnormal state corresponding to the target low-voltage circuit comprises the following steps: determination of an overload abnormal state of the target low-voltage circuit if a current value in the electrical quantity parameters is continuously greater than a preset current safety threshold value in a preset time period; 4. The low-pressure circuit protection method according to claim 3, characterized in that, determination of a short-circuit abnormal state of the target low-voltage circuit if the current value is not less than a preset short-circuit current threshold value. The generation of the target control instruction according to the electrical abnormal state comprises the following steps: generation of a first control instruction if the electrical abnormal state is an overload abnormal state, and determination of the first control instruction as the target control instruction; 5. The low pressure circuit protection method of claim 1, wherein, generation of a second control instruction if the electrical abnormal state is a short-circuit abnormal state, and determination of the second control instruction as the target control instruction; wherein the trigger duration of the second control instruction is less than that of the first control instruction. The control of the circuit breaker in the target low-voltage circuit based on the target control instruction comprises the following steps:

6. A low-pressure circuit protection method according to any one of claims 1 to 5, characterized in that, conversion of the target control instruction into a passive dry contact signal by the target circuit protection component, and output of the passive dry contact signal to a tripping coil loop of the circuit breaker to control the circuit breaker in the target low-voltage circuit. The method further comprises the following steps: obtaining of use behavior analysis data of a target user based on the electrical quantity parameters, generation of corresponding first abnormal event records according to the electrical abnormal state, and generation of corresponding second abnormal event records according to the environmental abnormal state; wherein the abnormal event records comprise an abnormal occurrence time, an abnormal type and parameters corresponding to the abnormal state. The target circuit protection component and the target Internet of Things protocol are used to upload the abnormal event record and the energy consumption behavior analysis data to a target cloud platform.

7. The low-pressure circuit protection method according to claim 6, characterized in that, The energy consumption behavior analysis data of the target user is obtained based on the electrical quantity parameter, and the energy consumption behavior analysis data includes: The edge computing unit is used to analyze the electrical quantity parameter to obtain user power consumption data and real-time power data; Periodic analysis is performed on the user power consumption data and the real-time power data to determine user power consumption patterns and power consumption peak periods, and the energy consumption behavior analysis data is obtained according to the user power consumption patterns and the power consumption peak periods.

8. A low voltage circuit protection device, characterized in that It includes: The data acquisition module is used to collect real-time data of the target low-voltage circuit by using the target circuit protection component in the target low-voltage circuit to obtain electrical quantity parameters and non-electrical quantity parameters corresponding to the target low-voltage circuit; The parameter analysis module is used to analyze the electrical quantity parameters by using the edge computing unit in the target circuit protection component to obtain the electrical abnormal state corresponding to the target low-voltage circuit, and to analyze the non-electrical quantity parameters to determine the environmental abnormal state corresponding to the target low-voltage circuit; The circuit protection module is used to generate a target control instruction according to the electrical abnormal state, control the circuit breaker in the target low-voltage circuit to open according to the target control instruction, and output corresponding alarm information according to the environmental abnormal state to achieve safety protection of the target low-voltage circuit.

9. An electronic device, comprising: It includes: The memory is used to save the computer program; The processor is used to execute the computer program to implement the low-voltage circuit safety protection method of any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer program is used to save the computer program, and the computer program is executed by the processor to implement the low-voltage circuit safety protection method of any one of claims 1 to 7.

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