An intelligent low-voltage switchgear

Abstract

An embodiment of this specification provides an intelligent low-voltage switchgear, which includes a cabinet body and a plurality of electrical devices arranged in the cabinet body. Among them, the plurality of electrical devices at least include busbars, and further include: a point cloud acquisition component for acquiring point cloud data of the busbars; a status monitoring component for acquiring status-related information of the plurality of electrical devices at a first preset frequency; a central control component for determining the screw status of the busbars based on the point cloud data of the busbars, and further for determining whether the status-related information of the plurality of electrical devices at the current time point acquired by the status monitoring component is abnormal data. If so, acquire the status-related information of the plurality of electrical devices at a plurality of future time points at a second preset frequency; and further for determining the operating status based on the screw status of the busbars, the status-related information of the plurality of electrical devices at the current time point, and the status-related information of the plurality of electrical devices at a plurality of future time points, having the advantage of being able to determine the operating status in a timely and accurate manner.

Description

Technical Field

[0001] This specification relates to the field of power systems, and particularly to an intelligent low-voltage cabinet. Background Art

[0002] The power distribution cabinet is the final equipment of the power distribution system. The power distribution cabinet is a general term for the motor control center. The power distribution cabinet is used in occasions where the load is relatively dispersed and the number of circuits is small. The low-voltage power distribution cabinet is a type of power distribution cabinet, with a rated current frequency of 50 Hz and a rated voltage of 380 V. Multiple relays are usually installed in the power distribution cabinet to control the on and off of the circuit. The Chinese patent with the application number CN202011175295.8 discloses an intelligent power distribution system, which is respectively connected to a high-voltage cabinet, a transformer, and a low-voltage cabinet, and includes: an intelligent instrument component, a monitoring component, a sensor component, an intelligent terminal, and an intelligent management platform; the intelligent instrument component, the sensor component, and the monitoring component are respectively connected to the high-voltage cabinet, the transformer, the low-voltage cabinet, and the intelligent terminal, and real-time detect the operating states of the high-voltage cabinet, the transformer, and the low-voltage power distribution cabinet, obtain real-time detection data and transmit it to the intelligent terminal; the intelligent terminal analyzes and processes the real-time detection data, and transmits the real-time detection data and the analyzed and processed operating state data to the intelligent management platform; the intelligent management platform compares the real-time detection data and the operating state data with the pre-stored standard data to determine whether the operating states of the high-voltage cabinet, the transformer, and the low-voltage cabinet are normal, and if the operating state is abnormal, an alarm message is sent. In the above intelligent power distribution system, the accuracy of determining the operating state of the low-voltage cabinet by comparing the real-time detection data and the operating state data with the pre-stored standard data is relatively low, which is prone to false alarms and increases the maintenance workload.

[0003] Therefore, there is a need to provide an intelligent low-voltage cabinet for timely and accurately determining the operating state. Summary of the Invention

[0004] One embodiment of this specification provides an intelligent low-voltage switchgear, including a cabinet body and a plurality of electrical devices arranged in the cabinet body. Among them, the plurality of electrical devices at least include busbars. It is characterized in that it further includes: a point cloud acquisition component for acquiring the point cloud data of the busbars; a status monitoring component for acquiring the status-related information of the plurality of electrical devices at a first preset frequency; a central control component for determining the screw status of the busbars based on the point cloud data of the busbars, and also for determining whether the status-related information of the plurality of electrical devices at the current time point acquired by the status monitoring component is abnormal data. If it is determined that the status-related information of the plurality of electrical devices at the current time point by the status monitoring component is abnormal data, acquire the status-related information of the plurality of electrical devices at a plurality of future time points at a second preset frequency, where the second preset frequency is greater than the first preset frequency; and also for determining the operating status based on the screw status of the busbars, the status-related information of the plurality of electrical devices at the current time point, and the status-related information of the plurality of electrical devices at the plurality of future time points; both the point cloud acquisition component and the status monitoring component are arranged in the cabinet body.

[0005] In some embodiments, the central control component determines whether the status-related information of the plurality of electrical devices at the current time point acquired by the status monitoring component is abnormal data, including: acquiring the status-related information of the plurality of electrical devices at a plurality of historical time points; through a data prediction model, generating a prediction information sequence based on the status-related information of the plurality of electrical devices at the plurality of historical time points, where the prediction information sequence includes the status-related information of the plurality of electrical devices at a plurality of predicted time points; and determining whether the status-related information of the plurality of electrical devices at the current time point is abnormal data based on the prediction information sequence.

[0006] In some embodiments, the plurality of electrical devices further include at least one circuit breaker; when the central control component determines that the operating status is a normal status based on the screw status of the busbars, the status-related information of the plurality of electrical devices at the current time point, and the status-related information of the plurality of electrical devices at the plurality of future time points, the remaining life of the at least one circuit breaker is predicted based on the status-related information of the plurality of electrical devices at a plurality of historical time points, the status-related information of the plurality of electrical devices at the current time point, and the status-related information of the plurality of electrical devices at the plurality of future time points.

[0007] In some embodiments, the central control component is further used for: when determining that the operating status is an abnormal status based on the screw status of the busbars, the status-related information of the plurality of electrical devices at the current time point, and the status-related information of the plurality of electrical devices at the plurality of future time points, determining the fault type; and generating a warning message based on the fault type.

[0008] In some embodiments, the central control component is further configured to: when determining that the operating state is an abnormal state based on the screw state of the busbar, the state-related information of multiple electrical devices at the current time point, and the state-related information of multiple electrical devices at multiple future time points, obtain the location information of multiple candidate maintenance terminals; based on the location information of the multiple candidate maintenance terminals, determine at least one target maintenance terminal from the multiple candidate maintenance terminals, and send the warning information to the target maintenance terminal, where the warning information includes a planned path generated based on the location information of the target maintenance terminal.

[0009] In some embodiments, an intelligent lock is further provided on the cabinet body, and the intelligent lock includes an information verification component and a lock body; the central control component is further configured to activate the information verification component when the distance between the target maintenance terminal and the cabinet body is less than a preset threshold, and the information verification component is configured to obtain the human body feature information of the maintenance personnel; the information verification component is further configured to determine whether to control the lock body to unlock based on the human body feature information of the maintenance personnel.

[0010] In some embodiments, the human body feature information includes biometric information and wearing feature information; the central control component is further configured to obtain a wearing standard based on the fault type; the information verification component determining whether to control the lock body to unlock based on the human body feature information of the maintenance personnel includes: judging whether the wearing of the maintenance personnel meets the requirements based on the wearing feature information and the wearing standard; if the wearing of the maintenance personnel meets the requirements, judging whether to control the lock body to unlock based on the biometric information of the maintenance personnel.

[0011] In some embodiments, the information verification component includes an image acquisition device and a fingerprint acquisition device; when the wearing standard includes the requirement of wearing safety glasses, obtain an image of the maintenance personnel through the image acquisition device, determine the wearing feature information based on the image of the maintenance personnel, and collect the biometric information through the fingerprint acquisition device.

[0012] In some embodiments, when the wearing standard does not include the requirement of wearing safety glasses, obtain an image of the maintenance personnel through the image acquisition device, and determine the biometric information and the wearing feature information based on the image of the maintenance personnel.

[0013] In some embodiments, the state monitoring component includes a humidity detection device, and a dehumidification component is further provided in the cabinet body; the central control component is further configured to control the operation of the dehumidification component based on the output signal of the humidity detection device. Description of the Drawings

[0014] This specification will be further described by way of exemplary embodiments, which will be described in detail with reference to the accompanying drawings. These embodiments are not restrictive. In these embodiments, the same reference numerals represent the same structures, where:

[0015] Figure 1 is a schematic diagram of the application scenario of an intelligent low-voltage switchgear according to some embodiments of this specification;

[0016] Figure 2 is a schematic diagram of the modules of an intelligent low-voltage switchgear according to some embodiments of this specification;

[0017] Figure 3 is an exemplary flowchart for determining whether the status-related information of multiple electrical devices at the current time point obtained by the status monitoring component is abnormal data according to some embodiments of this specification.

[0018] In the figure, 110 is an intelligent low-voltage switchgear; 120 is a network; 130 is a maintenance terminal; 140 is a storage device. Detailed implementation manners

[0019] To more clearly illustrate the technical solutions of the embodiments of this specification, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings in the following description are only some examples or embodiments of this specification. For those of ordinary skill in the art, without creative efforts, this specification can also be applied to other similar scenarios based on these drawings. Unless obvious from the language context or otherwise stated, the same reference numerals in the figures represent the same structures or operations.

[0020] It should be understood that the "system", "device", "unit" and / or "module" used herein is a way to distinguish different components, elements, parts, portions or assemblies at different levels. However, if other words can achieve the same purpose, the said words can be replaced by other expressions.

[0021] As shown in this specification and the claims, unless the context clearly indicates an exception, words such as "a", "an", "one" and / or "the" are not specifically singular and may also include the plural. Generally speaking, the terms "comprising" and "including" only indicate the inclusion of the steps and elements that have been clearly identified, and these steps and elements do not constitute an exclusive list. The method or device may also include other steps or elements.

[0022] Flowcharts are used in this specification to illustrate the operations performed by the systems according to the embodiments of this specification. It should be understood that the preceding or subsequent operations are not necessarily executed precisely in sequence. On the contrary, the steps can be processed in reverse order or simultaneously. Also, other operations can be added to these processes, or one or more steps can be removed from these processes.

[0023] Figure 1 is a schematic diagram of the application scenario of the intelligent low-voltage cabinet 110 shown in some embodiments of this specification.

[0024] As Figure 1 shown, the application scenario can include an intelligent low-voltage cabinet 110, a network 120, at least one maintenance terminal 130, and a storage device 140.

[0025] The intelligent low-voltage cabinet 110 is composed of a cabinet body and busbars, multiple lines, and multiple electrical devices arranged inside the cabinet. Among them, the multiple electrical devices can include circuit breakers (such as air switches, leakage switches, automatic dual-power transfer switches, etc.), contactors, thermal relays, current transformers, capacitors, lightning arresters, surge protectors, buttons, indicator lights, changeover switches, time relays, intermediate relays, etc. Figure 2 is a schematic diagram of the modules of the intelligent low-voltage cabinet 110 shown in some embodiments of this specification. As Figure 2 shown, in some embodiments, the intelligent low-voltage cabinet 110 can also include a point cloud acquisition component, a status monitoring component, and a central control component. Among them, the point cloud acquisition component and the status monitoring component are both arranged inside the cabinet.

[0026] The point cloud acquisition component can be used to acquire the point cloud data of the busbar. In some embodiments, the point cloud acquisition component can include a structured light camera and / or a lidar for acquiring the point cloud data of the busbar.

[0027] The status monitoring component can be used to acquire the status-related information of multiple electrical devices at a first preset frequency. The status-related information of the electrical devices can include the three-phase average line current, phase active power A, phase active power B, phase active power C, phase current A, phase current B, phase current C, three-phase active power, temperature, humidity, arc light intensity, vibration frequency, ambient noise, leakage situation, and morphological data. The data screening module can screen the three-phase average line current, phase active power A, phase active power B, phase active power C, phase current A, phase current B, phase current C, three-phase active power, temperature, humidity, arc light intensity, and leakage situation. In some embodiments, the status monitoring component can include various sensors, such as voltage sensors, current sensors, arc light sensors, and leakage sensors, etc.

[0028] The central control component can be used to determine the screw state of the busbar based on the point cloud data of the busbar. Specifically, the central control component can determine whether the screws of the busbar are loose based on the point cloud data of the busbar. For example, the central control component can determine the distance between the nut of the screw and the busbar based on the point cloud data of the busbar, and determine whether the screws of the busbar are loose according to the distance between the nut of the screw and the busbar. Only by way of example, when the distance between the nut of the screw and the busbar is greater than the preset distance threshold, the central control component can determine that the screws of the busbar are loose.

[0029] The central control component can also be used to determine whether the status-related information of multiple electrical devices at the current time point obtained by the status monitoring component is abnormal data. If it is determined that the status-related information of multiple electrical devices at the current time point obtained by the status monitoring component is abnormal data, obtain the status-related information of multiple electrical devices at multiple future time points according to the second preset frequency, where the second preset frequency is greater than the first preset frequency. For example, the first preset frequency is to obtain the status-related information of multiple electrical devices once every 10 seconds, and the second preset frequency can be to obtain the status-related information of multiple electrical devices once every 5 seconds.

[0030] In some embodiments, the central control component can determine whether the status-related information of multiple electrical devices at the current time point obtained by the status monitoring component is abnormal data in any way. For example, calculate the similarity between the status-related information of multiple electrical devices at the current time point and the status-related information of standard multiple electrical devices according to a similarity algorithm (such as cosine similarity, Jaccard similarity coefficient, etc.). When the similarity is less than the preset similarity threshold, the central control component can determine that the status-related information of multiple electrical devices at the current time point is abnormal data.

[0031] Figure 3 It is an exemplary flowchart for determining whether the status-related information of multiple electrical devices at the current time point obtained by the status monitoring component is abnormal data shown in some embodiments of this specification, as Figure 3 shown, in some embodiments, when the central control component determines whether the status-related information of multiple electrical devices at the current time point obtained by the status monitoring component is abnormal data, it can include:

[0032] Obtain the status-related information of multiple electrical devices at multiple historical time points;

[0033] Through a data prediction model, based on the status-related information of multiple electrical devices at multiple historical time points, generate a prediction information sequence, where the prediction information sequence includes the status-related information of multiple electrical devices at multiple predicted time points, and the historical time point can be a time point whose time interval from the current time point is less than the preset time interval (for example, 10 minutes);

[0034] Based on the predicted information sequence, determine whether the status-related information of multiple electrical devices at the current time point is abnormal data.

[0035] The data prediction model can be a machine learning model that generates a predicted information sequence based on the status-related information of multiple electrical devices at multiple historical time points. The input of the data prediction model can include the status-related information of multiple electrical devices at multiple historical time points, and the output of the data prediction model can include the predicted information sequence. The data prediction model can include, but is not limited to, neural network (NN), convolutional neural network (CNN), deep neural network (DNN), recurrent neural network (RNN), etc. or any combination thereof. For example, the data prediction model can be a model formed by combining a convolutional neural network and a deep neural network.

[0036] Specifically, the central control component can determine the predicted status-related information of multiple electrical devices at the time point corresponding to the current time point from the predicted information sequence, and calculate the similarity between the status-related information of multiple electrical devices at the current time point and the predicted status-related information of multiple electrical devices at the time point corresponding to the current time point in the predicted information sequence according to a similarity algorithm (such as cosine similarity, Jaccard similarity coefficient, etc.). When the similarity is less than the preset similarity threshold, the central control component can determine that the status-related information of multiple electrical devices at the current time point is abnormal data.

[0037] It can be understood that as time goes by, the status-related information of multiple electrical devices at multiple historical time points input to the data prediction model can be updated. Therefore, the predicted information sequence output by the data prediction model can also be updated.

[0038] The central control component can also be used to determine the operating status based on the screw status of the busbar, the status-related information of multiple electrical devices at the current time point, and the status-related information of multiple electrical devices at multiple future time points.

[0039] For example, when the distance between the nut of the screw and the busbar is greater than a preset distance threshold, the central control component can determine that the screw of the busbar is loose, and the central control component can determine that the operating state of the intelligent low-voltage cabinet 110 is an abnormal state. For another example, the central control component can determine the operating state through a state determination model based on the state-related information of multiple electrical devices at the current time point and the state-related information of multiple electrical devices at multiple future time points. The state determination model can be a machine learning model for determining the operating state of the intelligent low-voltage cabinet 110. The input of the state determination model can include the state-related information of multiple electrical devices at the current time point and the state-related information of multiple electrical devices at multiple future time points. The output of the state determination model can include the operating state of the intelligent low-voltage cabinet 110. The state determination model can include, but is not limited to, a neural network (NN), a convolutional neural network (CNN), a deep neural network (DNN), a recurrent neural network (RNN), etc. or any combination thereof. For example, the data prediction model can be a model formed by combining a convolutional neural network and a deep neural network.

[0040] In some embodiments, the central control component can also be used to: when determining that the operating state is a normal state based on the screw state of the busbar, the state-related information of multiple electrical devices at the current time point, and the state-related information of multiple electrical devices at multiple future time points, predict the remaining life of at least one circuit breaker based on the state-related information of multiple electrical devices at multiple historical time points, the state-related information of multiple electrical devices at the current time point, and the state-related information of multiple electrical devices at multiple future time points. In some embodiments, the central control component can predict the remaining life of at least one circuit breaker through a life prediction model based on the state-related information of multiple electrical devices at multiple historical time points, the state-related information of multiple electrical devices at the current time point, and the state-related information of multiple electrical devices at multiple future time points. The life prediction model can be a Long Sequence Time-Series Forecasting (LSTF) model.

[0041] In some embodiments, the central control component may also be configured to: determine a fault type when the operating state is determined to be an abnormal state based on the screw state of the busbar, the state-related information of multiple electrical devices at the current time point, and the state-related information of multiple electrical devices at multiple future time points; generate a warning message based on the fault type. For example, when the state determination model determines that the operating state of the intelligent low-voltage cabinet 110 is an abnormal state, the state determination model may determine the fault type of the intelligent low-voltage cabinet 110 based on the state-related information of multiple electrical devices at the current time point and the state-related information of multiple electrical devices at multiple future time points, where the fault type of the intelligent low-voltage cabinet 110 may characterize the fault type of the electrical device that has failed. The warning message may include sound information, light information, text information, etc.

[0042] In some embodiments, the central control component is further configured to: when it is determined that the operating state is an abnormal state based on the screw state of the busbar, the state-related information of multiple electrical devices at the current time point, and the state-related information of multiple electrical devices at multiple future time points, obtain the location information of multiple candidate maintenance terminals, and based on the location information of the multiple candidate maintenance terminals, determine at least one target maintenance terminal from the multiple candidate maintenance terminals, and send the warning message to the target maintenance terminal, where the warning message includes a planned path generated based on the location information of the target maintenance terminal. Specifically, based on the location information of the candidate maintenance terminals and the current location of the intelligent low-voltage cabinet 110, calculate the distance between the candidate maintenance terminals and the intelligent low-voltage cabinet 110. When the distance between the candidate maintenance terminal and the intelligent low-voltage cabinet 110 is less than a preset distance threshold, the central control component may use the candidate maintenance terminal as the target maintenance terminal. When it is necessary to generate a planned path for a certain target maintenance terminal, the central control component may obtain map information, determine the location of obstacles, and generate a path between the location of the target maintenance terminal and the current location of the intelligent low-voltage cabinet 110.

[0043] In some embodiments, the intelligent lock includes an information verification component and a lock body, and the lock body may be disposed on the cabinet door of the cabinet.

[0044] In some embodiments, the central control component is further configured to activate the information verification component when the distance between the target maintenance terminal and the cabinet is less than a preset threshold, and the information verification component is used to obtain the human characteristic information of the maintenance personnel. It can be understood that the movement of the maintenance personnel can drive the movement of the maintenance terminal 130, thereby changing the distance between the target maintenance terminal and the cabinet. It can be understood that when the intelligent low-voltage cabinet 110 does not malfunction, the maintenance personnel can also send a command to the central control component through the maintenance terminal 130 to cause the central control component to activate the information verification component.

[0045] In some embodiments, the information verification component is further configured to determine whether to control the lock body to unlock based on the human characteristic information of the maintenance personnel.

[0046] In some embodiments, the human body feature information includes biometric feature information and wearing feature information.

[0047] In some embodiments, the central control component is further configured to obtain a wearing standard based on the fault type. Wherein, the wearing standard may be a requirement related to the dressing of maintenance personnel. It can be understood that for different fault types, the wearing standards may be different. For example, when the central control component determines that there is arc light in the cabinet, the wearing standard may include: wearing work clothes, wearing a safety helmet, wearing insulating shoes, not wearing sandals, high heels, short clothes or shorts, wearing insulating gloves and goggles. Another example is that when the central control component determines that the motherboard screws in the cabinet are loose, the wearing standard may include: wearing work clothes, wearing a safety helmet, wearing insulating shoes, not wearing sandals, high heels, short clothes or shorts, and wearing insulating gloves.

[0048] In some embodiments, the information verification component determines whether to control the lock body to unlock based on the human body feature information of the maintenance personnel, including:

[0049] Based on the wearing feature information and the wearing standard, determining whether the dressing of the maintenance personnel meets the requirements;

[0050] If the dressing of the maintenance personnel meets the requirements, determining whether to control the lock body to unlock based on the biometric feature information of the maintenance personnel.

[0051] Specifically, the information verification component may determine whether the wearing feature information of the maintenance personnel meets the wearing standard based on the wearing feature information of the maintenance personnel. When the wearing feature information of the maintenance personnel meets the wearing standard, the information verification component may determine whether the maintenance personnel have the unlocking permission based on the biometric feature information of the maintenance personnel. If it is determined that the maintenance personnel have the unlocking permission, the information verification component may control the lock body to unlock.

[0052] In some embodiments, the information verification component may include an image acquisition device and a fingerprint acquisition device. It can be understood that the image acquisition device and the fingerprint acquisition device may be arranged outside the cabinet.

[0053] In some embodiments, when the wearing standard includes the requirement of wearing goggles, an image of the maintenance personnel is acquired by an image acquisition device, wearing characteristic information is determined based on the image of the maintenance personnel, and biometric information, i.e., fingerprints, is collected by a fingerprint acquisition device. It can be understood that the information verification component can determine the wearing characteristic information of the maintenance personnel based on the image of the maintenance personnel, and judge whether the wearing characteristic information of the maintenance personnel meets the wearing standard. When the wearing characteristic information of the maintenance personnel meets the wearing standard, the information verification component can judge whether the maintenance personnel have the unlocking permission based on the fingerprints of the maintenance personnel collected by the fingerprint acquisition device. If it is judged that the maintenance personnel have the unlocking permission, the information verification component can control the lock body to unlock, thus avoiding the situation that the face is blocked due to the maintenance personnel wearing goggles and unlocking cannot be performed.

[0054] In some embodiments, when the wearing standard does not include the requirement of wearing goggles, an image of the maintenance personnel is acquired by an image acquisition device, and biometric information and wearing characteristic information are determined based on the image of the maintenance personnel.

[0055] In some embodiments, the information verification component can extract biometric information (e.g., facial feature information) and wearing characteristic information from the image of the maintenance personnel acquired by the image acquisition device through a target detection algorithm, where the target detection algorithm can include at least one of the RCNN (Region-based Convolutional Network) algorithm, the Fast RCNN (Fast Region-based Convolutional Network) algorithm, and the YOLO (You Only Look Once) algorithm. The information verification component can first judge whether the wearing of the maintenance personnel meets the requirements based on the wearing characteristic information and the wearing standard. If the wearing of the maintenance personnel meets the requirements, the biometric information of the maintenance personnel is compared with the biometric information of multiple registered maintenance personnel with unlocking permission stored in advance to judge whether to control the lock body to unlock. It can be understood that when the biometric information of the maintenance personnel has a high similarity with the biometric information of a certain registered maintenance personnel, it can be judged that the maintenance personnel have the unlocking permission, and the information verification component controls the lock body to unlock.

[0056] In some embodiments, the status monitoring component includes a humidity detection device, a dehumidification component is also arranged in the cabinet, and the central control component is further configured to control the operation of the dehumidification component based on the output signal of the humidity detection device.

[0057] It can be understood that the humidity in the cabinet will seriously affect the operating states of multiple electrical devices in the cabinet. Therefore, when the humidity detection device detects that the humidity in the cabinet is greater than the preset humidity threshold, the dehumidification component can be turned on to perform dehumidification work.

[0058] In some embodiments, the central control component may be a single server or a server group. The central control component may be local or remote. The central control component may include a central processing unit (CPU), an application specific integrated circuit (ASIC), an application specific instruction processor (ASIP), a graphics processing unit (GPU), a physics processing unit (PPU), a digital signal processor (DSP), a field programmable gate array (FPGA), a programmable logic device (PLD), a controller, a microcontroller unit, a reduced instruction set computer (RISC), a microprocessor, etc., or any combination thereof.

[0059] Network 120 may include any suitable network that provides for the exchange of information and / or data that can facilitate the application scenario. In some embodiments, information and / or data may be exchanged between one or more components of the application scenario (e.g., intelligent low-voltage switchgear 110, at least one maintenance terminal 130, and storage device 140) via network 120. In some embodiments, network 120 may be any one or more of a wired network or a wireless network. In some embodiments, network 120 may include one or more network access points. For example, network 120 may include wired or wireless network access points, such as base stations and / or network switching points, through which one or more components of the application scenario may be connected to network 120 to exchange data and / or information.

[0060] The maintenance terminal 130 refers to one or more terminals or software used by a user (e.g., a maintenance worker, etc.). In some embodiments, the maintenance terminal 130 may include, but is not limited to, a smart phone, a tablet computer, a laptop computer, a desktop computer, etc. In some embodiments, the maintenance terminal 130 may interact with other components in the application scenario via network 120. For example, the maintenance terminal 130 may send one or more control instructions to the central control component to control the central control component to determine the operating state based on the screw state of the busbar, the status-related information of multiple electrical devices at the current time point, and the status-related information of multiple electrical devices at multiple future time points.

[0061] The storage device 140 can be used to store data, instructions, and / or any other information. In some embodiments, the storage device 140 can store data and / or information obtained from the intelligent low-voltage switchgear 110, at least one maintenance terminal 130, and the storage device 140. For example, the storage device 140 can store multiple samples. As another example, the storage device 140 can store a trained machine learning model. In some embodiments, the storage device 140 can include a mass storage device, a removable storage device, a volatile read-write memory, a read-only memory (ROM), etc., or any combination thereof. Exemplary mass storage devices can include magnetic disks, optical disks, solid-state disks, etc. Exemplary removable storage devices can include flash drives, floppy disks, optical disks, memory cards, compact disks, magnetic tapes, etc. Exemplary volatile read-write memories can include random access memory (RAM). Exemplary RAM can include dynamic random access memory (DRAM), double data rate synchronous dynamic random access memory (DDR SDRAM), static random access memory (SRAM), thyristor random access memory (T-RAM), and zero-capacitance random access memory (Z-RAM), etc. Exemplary ROM can include mask ROM (MROM), programmable ROM (PROM), erasable programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), compact disk read-only memory (CD-ROM), and digital versatile disk read-only memory, etc. In some embodiments, the storage device 140 can be executed on a cloud platform. By way of example only, the cloud platform can include a private cloud, a public cloud, a hybrid cloud, a community cloud, a distributed cloud, an internal cloud, a multi-layer cloud, etc., or any combination thereof.

[0062] In some embodiments, an intelligent low-voltage switchgear 110 can have at least the following beneficial effects:

[0063] 1. The state monitoring component obtains state-related information of multiple electrical devices at a first preset frequency, determines the screw state of the busbar based on the point cloud data of the busbar, and is also used to determine whether the state-related information of the multiple electrical devices at the current time point obtained by the state monitoring component is abnormal data. If it is determined that the state-related information of the multiple electrical devices at the current time point by the state monitoring component is abnormal data, the state-related information of the multiple electrical devices at multiple future time points is obtained at a second preset frequency, where the second preset frequency is greater than the first preset frequency. This can achieve flexible adjustment of the frequency of obtaining state-related information of multiple electrical devices, obtain state-related information of multiple electrical devices at a higher frequency in the intelligent low-voltage switchgear 110, avoid determining the operating state of the intelligent low-voltage switchgear 110 based on the state-related information of multiple electrical devices at a single time point, and reduce the amount of data obtained when the intelligent low-voltage switchgear 110 is normal.

[0064] 2. Determine the operating status based on the screw status of the busbar, the status-related information of multiple electrical devices at the current time point, and the status-related information of multiple electrical devices at multiple future time points. The operating status of the intelligent low-voltage cabinet 110 can be determined from the status-related information of multiple electrical devices over a period of time, improving the accuracy of judgment.

[0065] 3. Obtain the point cloud data of the busbar through a point cloud acquisition component, which can quickly determine the screw status of the busbar and give an early warning in time when the screws of the busbar are loose.

[0066] 4. Based on the location information of multiple candidate maintenance terminals, determine at least one target maintenance terminal from the multiple candidate maintenance terminals, and send the warning information to the target maintenance terminal. The warning information includes a planned path generated based on the location information of the target maintenance terminal, which can determine to notify the maintenance personnel near the intelligent low-voltage cabinet 110 to carry out fault repair work, and the planned path generated based on the location information of the target maintenance terminal can help the maintenance personnel quickly reach the intelligent low-voltage cabinet 110.

[0067] 5. When the wearing standard includes the requirement of wearing safety goggles, obtain the image of the maintenance personnel through an image acquisition device, determine the wearing feature information based on the image of the maintenance personnel, and collect biometric information through a fingerprint acquisition device, thus avoiding the situation where the face is blocked due to the maintenance personnel wearing safety goggles and unable to unlock the lock.

[0068] It should be noted that the application scenarios are provided only for illustrative purposes and are not intended to limit the scope of this specification. For those of ordinary skill in the art, various modifications or changes can be made according to the description of this specification. For example, the application scenario can also include a database. However, these changes and modifications will not deviate from the scope of this specification.

[0069] The basic concepts have been described above. Obviously, for those skilled in the art, the above detailed disclosure is only an example and does not constitute a limitation to this specification. Although not explicitly stated here, those skilled in the art may make various modifications, improvements, and corrections to this specification. Such modifications, improvements, and corrections are proposed in this specification, so such modifications, improvements, and corrections still fall within the spirit and scope of the exemplary embodiments of this specification.

[0070] Meanwhile, this specification uses specific terms to describe the embodiments of this specification. For example, "an embodiment", "one embodiment", and / or "some embodiments" mean a certain feature, structure, or characteristic related to at least one embodiment of this specification. Therefore, it should be emphasized and noted that the "one embodiment" or "an embodiment" or "an alternative embodiment" mentioned twice or more at different positions in this specification does not necessarily refer to the same embodiment. In addition, certain features, structures, or characteristics in one or more embodiments of this specification can be appropriately combined.

[0071] Moreover, unless clearly stated in the claims, the order of the processing elements and sequences, the use of numerical letters, or the use of other names in this specification are not used to limit the order of the processes and methods in this specification. Although some currently considered useful embodiments of the invention are discussed through various examples in the above disclosure, it should be understood that such details only serve the purpose of illustration. The appended claims are not limited to the disclosed embodiments. On the contrary, the claims are intended to cover all modifications and equivalent combinations that conform to the essence and scope of the embodiments of this specification. For example, although the system components described above can be implemented by hardware devices, they can also be implemented only through software solutions, such as installing the described system on existing servers or mobile devices.

[0072] Similarly, it should be noted that, in order to simplify the presentation of the disclosure in this specification and thus help the understanding of one or more embodiments of the invention, in the previous description of the embodiments of this specification, sometimes multiple features are merged into one embodiment, drawing, or description thereof. However, this disclosure method does not mean that the features required by the subject matter of this specification are more than those mentioned in the claims. In fact, the features of the embodiments are fewer than all the features of the individual embodiments disclosed above.

[0073] For each patent, patent application, patent application publication, and other materials cited in this specification, such as articles, books, specifications, publications, documents, etc., their entire contents are hereby incorporated into this specification by reference. This excludes the application history files that are inconsistent with or conflict with the content of this specification, and also excludes the files (currently or subsequently appended to this specification) that limit the broadest scope of the claims of this specification. It should be noted that if there are inconsistencies or conflicts between the descriptions, definitions, and / or the use of terms in the attached materials of this specification and the content described in this specification, the descriptions, definitions, and / or the use of terms in this specification shall prevail.

[0074] Finally, it should be understood that the embodiments described in this specification are only used to illustrate the principles of the embodiments of this specification. Other variations may also fall within the scope of this specification. Therefore, by way of example and not limitation, alternative configurations of the embodiments of this specification may be regarded as consistent with the teachings of this specification. Accordingly, the embodiments of this specification are not limited to the embodiments explicitly presented and described in this specification.

Claims

1. An intelligent low-voltage switchgear, comprising a cabinet body and a plurality of electrical devices arranged in the cabinet body, wherein, The multiple electrical devices at least include a busbar, and are characterized in that they further include; A point cloud acquisition component for acquiring the point cloud data of the busbar; A status monitoring component for acquiring the status-related information of the multiple electrical devices at a first preset frequency; A central control component for determining the screw status of the busbar based on the point cloud data of the busbar, and also for determining whether the status-related information of the multiple electrical devices at the current time point acquired by the status monitoring component is abnormal data. If it is determined that the status-related information of the multiple electrical devices at the current time point by the status monitoring component is abnormal data, acquire the status-related information of the multiple electrical devices at multiple future time points at a second preset frequency, where the second preset frequency is greater than the first preset frequency; and also for determining the operating status based on the screw status of the busbar, the status-related information of the multiple electrical devices at the current time point, and the status-related information of the multiple electrical devices at the multiple future time points; Both the point cloud acquisition component and the status monitoring component are arranged in the cabinet.

2. The intelligent low-voltage switchgear according to claim 1, wherein The central control component determines whether the status-related information of the multiple electrical devices at the current time point acquired by the status monitoring component is abnormal data, including: Acquiring the status-related information of the multiple electrical devices at multiple historical time points; Generating a prediction information sequence based on the status-related information of the multiple electrical devices at the multiple historical time points through a data prediction model, where the prediction information sequence includes the status-related information of the multiple electrical devices at multiple predicted time points; Determining whether the status-related information of the multiple electrical devices at the current time point is abnormal data based on the prediction information sequence.

3. The intelligent low-voltage switchgear according to claim 1, wherein The multiple electrical devices further include at least one circuit breaker; The central control component is further used for: When determining that the operating status is a normal state based on the screw status of the busbar, the status-related information of the multiple electrical devices at the current time point, and the status-related information of the multiple electrical devices at the multiple future time points, predicting the remaining life of the at least one circuit breaker based on the status-related information of the multiple electrical devices at multiple historical time points, the status-related information of the multiple electrical devices at the current time point, and the status-related information of the multiple electrical devices at the multiple future time points.

4. The intelligent low-voltage switchgear according to any one of claims 1-3, characterized in that, The central control component is further used for: When determining that the operating status is an abnormal state based on the screw status of the busbar, the status-related information of the multiple electrical devices at the current time point, and the status-related information of the multiple electrical devices at the multiple future time points, determining the fault type; Generating a warning message based on the fault type.

5. The intelligent low-voltage switchgear according to claim 4, wherein The central control component is further used for: When determining that the operating status is an abnormal state based on the screw status of the busbar, the status-related information of the multiple electrical devices at the current time point, and the status-related information of the multiple electrical devices at the multiple future time points, acquiring the location information of multiple candidate maintenance terminals; Based on the location information of the multiple candidate maintenance terminals, determine at least one target maintenance terminal from the multiple candidate maintenance terminals, and send the warning information to the target maintenance terminal, where the warning information includes a planned path generated based on the location information of the target maintenance terminal.

6. The intelligent low-voltage switchgear according to claim 5, characterized in that, An intelligent lock is further provided on the cabinet body, and the intelligent lock includes an information verification component and a lock body; The central control component is further configured to activate the information verification component when the distance between the target maintenance terminal and the cabinet body is less than a preset threshold, and the information verification component is used to obtain the human body feature information of the maintenance personnel; The information verification component is further configured to determine whether to control the lock body to unlock based on the human body feature information of the maintenance personnel.

7. The intelligent low-voltage switchgear according to claim 6, characterized in that, The human body feature information includes biometric information and wearing feature information; The central control component is further configured to obtain a wearing standard based on the fault type; The information verification component determines whether to control the lock body to unlock based on the human body feature information of the maintenance personnel, including: Based on the wearing feature information and the wearing standard, determine whether the wearing of the maintenance personnel meets the requirements; If the wearing of the maintenance personnel meets the requirements, determine whether to control the lock body to unlock based on the biometric information of the maintenance personnel.

8. The intelligent low-voltage switchgear according to claim 7, wherein, The information verification component includes an image acquisition device and a fingerprint acquisition device; When the wearing standard includes the requirement for wearing goggles, obtain an image of the maintenance personnel through the image acquisition device, determine the wearing feature information based on the image of the maintenance personnel, and collect the biometric information through the fingerprint acquisition device.

9. The intelligent low-voltage switchgear according to claim 8, wherein When the wearing standard does not include the requirement for wearing goggles, obtain an image of the maintenance personnel through the image acquisition device, and determine the biometric information and the wearing feature information based on the image of the maintenance personnel.

10. The intelligent low-voltage switchgear according to any one of claims 1 to 3, characterized in that, The status monitoring component includes a humidity detection device, and a dehumidification component is further provided in the cabinet body; The central control component is further configured to control the operation of the dehumidification component based on the output signal of the humidity detection device.

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