Intelligent power distribution cabinet and monitoring method thereof

Abstract

The invention belongs to the technical field of power distribution network equipment, and particularly provides an intelligent power distribution cabinet and a monitoring method thereof.The intelligent power distribution cabinet comprises an intelligent power distribution cabinet body, a lifting mechanism, a damping mechanism, a fireproof mechanism, a base and a power module for supplying power to the whole intelligent power distribution cabinet; the intelligent power distribution cabinet body is installed on the base through the damping mechanism and the lifting mechanism in sequence, the monitoring module comprises a monitoring unit, an edge calculation processor, a storage unit and a communication unit, the monitoring unit and the storage unit are both connected to the edge calculation processor, and the edge calculation processor is connected to a cloud server through the communication unit; by introducing the edge computing processor, real-time data processing and analysis can be carried out locally on the intelligent power distribution cabinet. The localized computing power avoids delay caused by uploading a large amount of data to the cloud, especially under the condition of poor network conditions, quick response can still be kept, and the effectiveness of real-time monitoring and fault early warning functions of the power system is ensured.

Description

Technical Field

[0001] The present invention belongs to the technical field of power distribution network equipment, and in particular relates to an intelligent power distribution cabinet and a monitoring method thereof. Background Art

[0002] With the development of modern industry and information technology, the power system, as one of the infrastructures supporting social and economic development, has become increasingly intelligent and automated. As a key device in the power system, the intelligent distribution cabinet not only undertakes the task of distributing electric energy, but also ensures the safe and stable operation of the power system. Traditional distribution cabinets mainly rely on manual inspection and maintenance, which is inefficient and difficult to detect potential safety hazards in a timely manner. In recent years, with the rapid development of technologies such as the Internet of Things, big data, and cloud computing, intelligent distribution cabinets have emerged. They can realize functions such as remote monitoring, fault warning, and automatic adjustment, which greatly improves the operation and maintenance efficiency and service quality of the power system.

[0003] Although many smart distribution cabinets already have certain data collection and transmission functions, there are still limitations in data processing. Due to the lack of strong local computing power, most data needs to be uploaded to the cloud for analysis and processing, resulting in slow response speed, especially in poor network conditions, data delays or loss may occur. Summary of the invention

[0004] In view of the above-mentioned deficiencies in the prior art, the present invention provides an intelligent power distribution cabinet and a monitoring method thereof to solve the above-mentioned technical problems.

[0005] In a first aspect, the present invention provides an intelligent power distribution cabinet, comprising an intelligent power distribution cabinet body, a lifting mechanism, a shock absorbing mechanism, a fire prevention mechanism, a base, and a power module for supplying power to the entire intelligent power distribution cabinet; the intelligent power distribution cabinet body is sequentially mounted on the base through the shock absorbing mechanism and the lifting mechanism, and the fire prevention mechanism is arranged at the top of the intelligent power distribution cabinet; a monitoring module and a heat dissipation mechanism are arranged in the intelligent power distribution cabinet body; The monitoring module includes a monitoring unit, an edge computing processor, a storage unit and a communication unit. The monitoring unit and the storage unit are both connected to the edge computing processor, and the edge computing processor is connected to the cloud server through the communication unit; The monitoring unit is used to monitor the operating status of the intelligent distribution cabinet and its connected devices in real time, including voltage, current and temperature, and send the monitored operating status data to the storage unit for storage; the edge computing processor is used to receive instructions sent by the cloud server through the communication unit, and obtain the corresponding operating status data and pre-stored algorithms from the memory for edge computing according to the received instructions, and feed back the edge computing results to the cloud server.

[0006] A further improvement of the technical solution is that the lifting mechanism includes a plurality of hydraulic telescopic rods, the bottom ends of the hydraulic telescopic rods are fixed to the base, and the top ends of the hydraulic telescopic rods are connected to the bottom ends of the shock absorbing mechanism; The hydraulic telescopic rod is electrically connected to the edge computing processor, and the edge computing processor can control the lifting and lowering of the hydraulic telescopic rod according to the instructions sent by the cloud server.

[0007] A further improvement of the present technical solution is that the shock absorbing mechanism includes a plurality of dampers and a mounting plate arranged below the dampers, the top end of the damper is connected to the bottom end of the intelligent distribution cabinet body, the bottom end of the damper is fixed to the top end of the mounting plate, and the top end of the hydraulic telescopic rod is fixed to the bottom end of the mounting plate.

[0008] A further improvement of the technical solution is that the heat dissipation mechanism includes a temperature sensor, a heat dissipation fan and a heat dissipation hole arranged on the side wall of the intelligent power distribution cabinet body, the temperature sensor is arranged in the intelligent power distribution cabinet body, the heat dissipation fan is arranged on one side wall of the intelligent power distribution cabinet body, and a protective net is also arranged on the periphery of the heat dissipation fan; The temperature sensor is connected to the input end of the edge computing processor, and the cooling fan is connected to the output end of the edge computing processor. The edge computing processor can control the start and stop of the cooling fan according to the temperature data collected by the temperature sensor.

[0009] A further improvement of the technical solution is that the fire prevention mechanism includes a smoke sensor, a nozzle, a transport pipe and a nitrogen storage tank, the smoke sensor is arranged in the body of the intelligent power distribution cabinet, the nozzle is installed on the top of the inside of the intelligent power distribution cabinet, the nozzle is connected to the nitrogen storage tank through the transport pipe, and the transport pipe is provided with an electromagnetic valve pump; The smoke sensor is connected to the input end of the edge computing processor, and the solenoid valve pump is connected to the output end of the edge computing processor. The edge computing processor can control the opening and closing degree of the solenoid valve pump according to the smoke data collected by the smoke sensor.

[0010] In a second aspect, the present invention provides a monitoring method for an intelligent power distribution cabinet based on any one of the above items, comprising: The smart distribution cabinet is deployed at the load end, and the basic parameters of each electrical component in the smart distribution cabinet are configured through the edge computing processor, and a communication connection with the cloud server is established; Use the monitoring unit to monitor the operating data of the intelligent power distribution cabinet and its connected devices in real time and perform preliminary processing; The edge computing processor obtains the corresponding operating status data and pre-stored algorithms from the memory according to the instructions sent by the cloud server to perform edge computing, and feeds back the edge computing results to the cloud server.

[0011] Further improvements of this technical solution also include: The cloud server analyzes the received edge computing results, evaluates and optimizes the algorithms involved in the edge computing based on the analysis results, and synchronizes the optimized algorithms to the storage unit.

[0012] A further improvement of the technical solution is that edge computing includes fault diagnosis calculation. The edge computing processor obtains corresponding operating status data and pre-stored fault diagnosis algorithm from the memory according to the instructions sent by the cloud server to perform fault diagnosis calculation, and when it is determined that there is a fault in the smart distribution cabinet body, an alarm information is sent to the staff's handheld terminal through the communication unit.

[0013] The beneficial effects of the present invention are: Improve data processing efficiency and response speed: By introducing edge computing processors, the present invention can perform real-time data processing and analysis locally in the smart power distribution cabinet. This localized computing capability avoids the delay caused by uploading a large amount of data to the cloud, especially in poor network conditions, and can still maintain a fast response, ensuring the effectiveness of the real-time monitoring and fault warning functions of the power system.

[0014] Enhanced system stability and reliability: The application of edge computing processors reduces the reliance on cloud servers and reduces the risk of system failure due to network failure or cloud server problems. At the same time, the design of the local storage unit also provides data backup functions, ensuring the integrity and recoverability of key data even when a cloud server fails.

[0015] Optimize resource utilization and reduce costs: Through edge computing, the present invention can complete most data processing tasks locally, reducing the computing burden and bandwidth requirements of cloud servers, thereby reducing operation and maintenance costs and energy consumption. In addition, the lifting mechanism and shock absorption mechanism design of the intelligent distribution cabinet improve the adaptability and durability of the equipment, further extending the service life of the equipment.

[0016] In addition, the invention has a reliable design principle, a simple structure and a very broad application prospect. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0018] Figure 1 The figure is a schematic structural diagram of the intelligent power distribution cabinet.

[0019] Figure 2 The present invention is a schematic flow chart of a method according to an embodiment of the present invention.

[0020] 110 is the intelligent power distribution cabinet body, 121 is the damper, 122 is the mounting plate, 131 is the hydraulic telescopic rod, 141 is the nitrogen storage tank, 150 is the base, and 160 is the rainproof shed. DETAILED DESCRIPTION

[0021] In order to enable those skilled in the art to better understand the technical solutions in the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0022] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art of the present invention. The terms used in the specification of the present invention herein are only for the purpose of describing specific embodiments and are not intended to limit the present invention.

[0023] like Figure 1 As shown, the present invention provides an intelligent power distribution cabinet, including an intelligent power distribution cabinet body, a lifting mechanism, a shock absorbing mechanism, a fire prevention mechanism, a base and a power module for supplying power to the entire intelligent power distribution cabinet; the intelligent power distribution cabinet body is installed on the base through the shock absorbing mechanism and the lifting mechanism in sequence, and the fire prevention mechanism is arranged at the top inside the intelligent power distribution cabinet; a monitoring module and a heat dissipation mechanism are arranged in the intelligent power distribution cabinet body, wherein the monitoring module includes a monitoring unit, an edge computing processor, a storage unit and a communication unit, the monitoring unit and the storage unit are both connected to the edge computing processor, and the edge computing processor is connected to the cloud server through the communication unit.

[0024] Specifically, the monitoring unit is used to monitor the operating status of the intelligent distribution cabinet body and its connected devices in real time, including voltage, current and temperature, and send the monitored operating status data to the storage unit for storage; the edge computing processor is used to receive instructions sent by the cloud server through the communication unit, and obtain the corresponding operating status data and pre-stored algorithms from the memory for edge computing according to the received instructions, and feed back the edge computing results to the cloud server.

[0025] In addition, the lifting mechanism includes several hydraulic telescopic rods, the bottom ends of the hydraulic telescopic rods are fixed on the base, and the top ends of the hydraulic telescopic rods are connected to the bottom ends of the shock absorbing mechanism; the hydraulic telescopic rods are electrically connected to the edge computing processor, and the edge computing processor can control the lifting and lowering of the hydraulic telescopic rods according to the instructions sent by the cloud server.

[0026] In order to improve the service life of the intelligent distribution cabinet, the shock absorbing mechanism configured in the present invention includes a plurality of dampers and a mounting plate arranged below the dampers, the top end of the damper is connected to the bottom end of the intelligent distribution cabinet body, the bottom end of the damper is fixed to the top end of the mounting plate, and the top end of the hydraulic telescopic rod is fixed to the bottom end of the mounting plate.

[0027] In order to increase the service life of the intelligent power distribution cabinet, the present invention also provides a rainproof canopy on the top of the intelligent power distribution cabinet body.

[0028] In addition, the heat dissipation mechanism includes a temperature sensor, a heat dissipation fan and a heat dissipation hole arranged on the side wall of the intelligent distribution cabinet body. The temperature sensor is arranged in the intelligent distribution cabinet body, the heat dissipation fan is arranged on one side wall of the intelligent distribution cabinet body, and a protective net is also arranged around the heat dissipation fan; the temperature sensor is connected to the input end of the edge computing processor, and the heat dissipation fan is connected to the output end of the edge computing processor. The edge computing processor can control the start and stop of the heat dissipation fan according to the temperature data collected by the temperature sensor.

[0029] In order to avoid a fire in the smart distribution cabinet and the staff being unable to arrive in time to cause a larger power grid accident, the fire prevention mechanism configured in the present invention includes a smoke sensor, a nozzle, a transport pipe and a nitrogen storage tank. The smoke sensor is arranged in the body of the smart distribution cabinet, and the nozzle is installed on the top of the inside of the smart distribution cabinet. The nozzle is connected to the nitrogen storage tank through the transport pipe, and the transport pipe is provided with a solenoid valve pump; the smoke sensor is connected to the input end of the edge computing processor, and the solenoid valve pump is connected to the output end of the edge computing processor. The edge computing processor can control the opening and closing degree of the solenoid valve pump according to the smoke data collected by the smoke sensor.

[0030] like Figure 2 As shown, the present invention provides a monitoring method for an intelligent power distribution cabinet based on any one of the above items, comprising: Step 210: deploy the smart distribution cabinet body at the load end, configure the basic parameters of each electrical component in the smart distribution cabinet body through the edge computing processor, and establish a communication connection with the cloud server; Step 220, using the monitoring unit to monitor the operating data of the intelligent power distribution cabinet body and its connected devices in real time, and perform preliminary processing; Step 230, the edge computing processor obtains corresponding operating status data and pre-stored algorithms from the memory according to the instructions sent by the cloud server to perform edge computing, and feeds back the edge computing results to the cloud server; In step 240, the cloud server analyzes the received edge computing results, evaluates and optimizes the algorithms involved in the edge computing according to the analysis results, and synchronizes the optimized algorithms to the storage unit.

[0031] Among them, edge computing includes fault diagnosis calculation. The edge computing processor obtains the corresponding operating status data and pre-stored fault diagnosis algorithm from the memory according to the instructions sent by the cloud server to perform fault diagnosis calculation, and when it is determined that there is a fault in the smart distribution cabinet body, it sends an alarm message to the staff's handheld terminal through the communication unit.

[0032] Assume that the cloud server sends an instruction to the smart distribution cabinet to calculate the peak and average values ​​of the power load in a certain period of time. The edge computing processor obtains the load data in this period from the storage unit, applies the built-in sliding window algorithm to calculate the corresponding peak and average values, and then encapsulates the calculation results into a JSON format data packet and uploads it to the cloud server via Wi-Fi or 4G / 5G network. The specific calculation formula is: Peak value calculation: ;in, Indicates the maximum value in a series of values, that is, the peak value, which may represent the maximum value of current, voltage or power within a certain period of time; Represents a series of values ​​that need to calculate peak and average values. These values ​​can be measured values ​​of physical quantities such as current, voltage, and power.

[0033] Average calculation: ;in, Represents the average of a series of values; n represents the total number or number of values. When calculating the peak and average values, n determines the number of values ​​that need to be processed.

[0034] After receiving the peak and average values ​​of the power load uploaded by the smart distribution cabinet, the cloud server verifies the results using a built-in verification algorithm (such as a comparison algorithm based on historical data). If the verification result shows that the calculation error exceeds the preset threshold, the cloud server will adjust the algorithm parameters (such as the size of the sliding window, the sampling frequency, etc.) and send the optimized parameter configuration back to the smart distribution cabinet. The calculation formula for the verification error is: ;in, Represents the verification error; Indicates actual value; Calculated value.

[0035] Although the present invention has been described in detail with reference to the accompanying drawings and in combination with the preferred embodiments, the present invention is not limited thereto. Without departing from the spirit and essence of the present invention, a person of ordinary skill in the art may make various equivalent modifications or substitutions to the embodiments of the present invention, and these modifications or substitutions shall be within the scope of the present invention. Any person of ordinary skill in the art may easily think of changes or substitutions within the technical scope disclosed by the present invention, and these shall be within the scope of protection of the present invention.

Claims

1. An intelligent power distribution cabinet, characterized in that: It includes an intelligent power distribution cabinet body, a lifting mechanism, a shock absorbing mechanism, a fire prevention mechanism, a base and a power module for supplying power to the entire intelligent power distribution cabinet; the intelligent power distribution cabinet body is installed on the base through the shock absorbing mechanism and the lifting mechanism in sequence, and the fire prevention mechanism is arranged at the top of the intelligent power distribution cabinet; the intelligent power distribution cabinet body is provided with a monitoring module and a heat dissipation mechanism; The monitoring module includes a monitoring unit, an edge computing processor, a storage unit and a communication unit. The monitoring unit and the storage unit are both connected to the edge computing processor, and the edge computing processor is connected to the cloud server through the communication unit; The monitoring unit is used to monitor the operating status of the intelligent power distribution cabinet and its connected devices in real time, including voltage, current and temperature, and send the monitored operating status data to the storage unit for storage; The edge computing processor is used to receive instructions sent by the cloud server through the communication unit, obtain corresponding operating status data and pre-stored algorithms from the memory according to the received instructions, and feed back the edge computing results to the cloud server.

2. The intelligent power distribution cabinet according to claim 1, characterized in that: The lifting mechanism includes a plurality of hydraulic telescopic rods, the bottom ends of the hydraulic telescopic rods are fixed to the base, and the top ends of the hydraulic telescopic rods are connected to the bottom ends of the shock absorbing mechanisms; The hydraulic telescopic rod is electrically connected to the edge computing processor, and the edge computing processor can control the lifting and lowering of the hydraulic telescopic rod according to the instructions sent by the cloud server.

3. The intelligent power distribution cabinet according to claim 2, characterized in that: The shock absorbing mechanism includes a plurality of dampers and a mounting plate arranged below the dampers. The top end of the damper is connected to the bottom end of the intelligent distribution cabinet body, the bottom end of the damper is fixed to the top end of the mounting plate, and the top end of the hydraulic telescopic rod is fixed to the bottom end of the mounting plate.

4. The intelligent power distribution cabinet according to claim 1, characterized in that: The heat dissipation mechanism includes a temperature sensor, a heat dissipation fan and a heat dissipation hole arranged on the side wall of the intelligent power distribution cabinet body. The temperature sensor is arranged in the intelligent power distribution cabinet body, the heat dissipation fan is arranged on one side wall of the intelligent power distribution cabinet body, and a protective net is also arranged on the periphery of the heat dissipation fan; The temperature sensor is connected to the input end of the edge computing processor, and the cooling fan is connected to the output end of the edge computing processor. The edge computing processor can control the start and stop of the cooling fan according to the temperature data collected by the temperature sensor.

5. The intelligent power distribution cabinet according to claim 1, characterized in that: The fire prevention mechanism includes a smoke sensor, a nozzle, a transport pipe and a nitrogen storage tank. The smoke sensor is arranged in the body of the intelligent power distribution cabinet. The nozzle is installed on the top of the inside of the intelligent power distribution cabinet. The nozzle is connected to the nitrogen storage tank through the transport pipe. The transport pipe is provided with an electromagnetic valve pump. The smoke sensor is connected to the input end of the edge computing processor, and the solenoid valve pump is connected to the output end of the edge computing processor. The edge computing processor can control the opening and closing degree of the solenoid valve pump according to the smoke data collected by the smoke sensor.

6. A monitoring method for an intelligent power distribution cabinet according to any one of claims 1 to 5, characterized in that: include: The smart distribution cabinet is deployed at the load end, and the basic parameters of each electrical component in the smart distribution cabinet are configured through the edge computing processor, and a communication connection with the cloud server is established; Use the monitoring unit to monitor the operating data of the intelligent power distribution cabinet and its connected devices in real time and perform preliminary processing; The edge computing processor obtains the corresponding operating status data and pre-stored algorithms from the memory according to the instructions sent by the cloud server to perform edge computing, and feeds back the edge computing results to the cloud server.

7. The monitoring method according to claim 6, characterized in that: Also includes: The cloud server analyzes the received edge computing results, evaluates and optimizes the algorithms involved in edge computing based on the analysis results, and synchronizes the optimized algorithms to the storage unit.

8. The monitoring method according to claim 6, characterized in that: Edge computing includes fault diagnosis calculations. The edge computing processor obtains the corresponding operating status data and pre-stored fault diagnosis algorithms from the memory according to the instructions sent by the cloud server to perform fault diagnosis calculations, and when it is determined that there is a fault in the smart distribution cabinet body, it sends an alarm message to the staff's handheld terminal through the communication unit.

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