An Internet of Things-based high and low voltage distribution cabinet operating environment monitoring and early warning system

Abstract

The present invention discloses an operating environment monitoring and early warning system for high and low voltage distribution cabinets based on the Internet of Things, and relates to the technical field of distribution cabinet monitoring. The environmental monitoring and early warning system includes a server, an operation evaluation unit, an internal environment monitoring unit, an external environment monitoring unit, a supervision and determination unit, and an early warning unit; the present invention determines the operating stability of the current distribution cabinet by collecting current fluctuation parameters and voltage fluctuation parameters within a period of time, and by calculating and comparing the two sets of parameters, and generates a corresponding signal according to the determination result. When the operating voltage or operating current of the distribution cabinet fluctuates abnormally, an abnormal signal is generated. After receiving the abnormal signal, the internal environment monitoring unit performs cross-data processing on the collected internal environment data on the basis of spatial division of the distribution cabinet, thereby checking the internal influencing factors.

Description

Technical Field

[0001] The present invention relates to the technical field of power distribution cabinet monitoring, and in particular to an Internet of Things-based high and low voltage power distribution cabinet operating environment monitoring and early warning system. Background Art

[0002] High and low voltage distribution cabinets are indispensable equipment in the power system. They are suitable for various power systems, power loads and environmental conditions. They have functions such as power distribution, fault protection, operation monitoring, energy saving and environmental protection. They are crucial to ensuring the stable operation of the power system and improving safety and efficiency.

[0003] The distribution cabinet is usually equipped with electrical equipment such as isolating switches, circuit breakers, contactors, thermal relays, mutual inductors, capacitors, lightning arresters, surge protectors, etc. Due to the large number of electrical equipment in the distribution cabinet, it is particularly important to detect the environment inside the distribution cabinet to ensure the normal operation of the electrical equipment in the distribution cabinet.

[0004] The existing distribution cabinet operating environment monitoring system usually stays at the monitoring and analysis of basic data, and is unable to conduct in-depth investigation and analysis of the obtained signals and data. Therefore, a large amount of manual intervention is required to further inspect and troubleshoot the factors causing unstable equipment operation. Inspection and troubleshooting usually require the equipment to be shut down, which not only increases labor costs, but also affects the normal transmission of electricity. Summary of the invention

[0005] The purpose of the present invention is to solve the problems in the prior art and to propose a high and low voltage distribution cabinet operating environment monitoring and early warning system based on the Internet of Things.

[0006] In order to achieve the above-mentioned object, the present invention adopts the following technical scheme: an operation environment monitoring and early warning system of a high and low voltage power distribution cabinet based on the Internet of Things, comprising a server, an operation evaluation unit, an internal environment monitoring unit, an external environment monitoring unit, a supervision determination unit and an early warning unit, wherein the early warning unit comprises a display module;

[0007] The server generates a monitoring instruction and sends the monitoring instruction to the operation evaluation unit. After receiving the monitoring instruction, the operation evaluation unit immediately collects the operation data of the power distribution cabinet, monitors and analyzes the operation data to obtain an abnormal signal, and sends the abnormal signal to the internal environment monitoring unit;

[0008] After receiving the abnormal signal, the internal environment monitoring unit immediately collects the internal environment information of the power distribution cabinet, analyzes and determines the internal environment information, and sends the generated maintenance warning signal to the warning unit and the external environment monitoring signal to the external environment monitoring unit;

[0009] After receiving the external environment monitoring signal, the external environment monitoring unit immediately collects the external environment information of the power distribution cabinet, analyzes and determines the external environment information, and sends the generated external temperature over-high signal to the early warning unit and sends the fault troubleshooting signal to the supervision and determination unit;

[0010] After receiving the fault troubleshooting signal, the supervision and determination unit immediately checks the ventilation condition inside the power distribution cabinet, and sends the generated cleaning signal and ventilation system fault signal to the early warning unit;

[0011] After receiving the corresponding signal, the early warning unit uses the display module to provide text-based risk warnings, making it easier to take corresponding actions in a timely manner based on the operating status of the distribution cabinet.

[0012] Furthermore, the monitoring and analysis process of the operation evaluation unit is as follows:

[0013] Step 1: Obtain the duration of a period of time and mark it as monitoring duration, divide the monitoring duration into i sub-time nodes, where i is a natural number greater than zero, and obtain the operating data of the distribution cabinet in each sub-time node, wherein the operating data includes the voltage value and current value of the distribution cabinet;

[0014] Step 2: Calculate the absolute value of the difference between the current values ​​of two adjacent sub-time nodes, and use it to construct a current fluctuation parameter set A, obtain the average value of the set A, and mark it as the current fluctuation value Ca;

[0015] The absolute value of the difference between the voltage values ​​of two adjacent sub-time nodes is calculated, and a voltage fluctuation parameter set B is constructed based on the difference; the average value of the set B is obtained, and the average value is marked as the voltage fluctuation value Cv;

[0016] Step 3: According to the formula Obtain an operation stability coefficient value Y, wherein x1, x2, x3 and x4 are all preset correction factors, and x1, x2, x3 and x4 are all greater than 0, and then compare and analyze the operation stability coefficient value Y with the operation stability coefficient threshold;

[0017] If Y∈[Ymin, Ymax], no processing is done;

[0018] like An exception signal is generated.

[0019] Furthermore, the internal environment analysis and determination process is as follows:

[0020] Step 1: Obtain the space inside the distribution cabinet to generate a monitoring space, divide the monitoring space into m monitoring areas with equal volume, collect the average temperature data of the center position of each monitoring area during the monitoring period and the number of electrical equipment contained in the monitoring area; the average temperature data of the center position of each monitoring area during the monitoring period is the average temperature of the i-time sub-nodes in the area, which is marked as the regional average temperature;

[0021] Step 2: Get the area where the average temperature exceeds the preset temperature area, and construct set B; then get the area where the number of electrical equipment exceeds the preset electrical equipment reference value, and construct set C, and then get the relative complement BC of C in B (the area belongs to set B but not to set C); and get the number X of elements in BC and the number Y of elements in B; and mark the ratio of X to mY as the environmental impact factor determination value;

[0022] Step 3: Compare and analyze the environmental impact factor judgment value with the impact factor reference value.

[0023] When the environmental impact factor judgment value is less than the impact factor reference value, a maintenance warning signal is generated;

[0024] When the environmental influencing factor judgment value ≥ the influencing factor reference value, an external environmental monitoring signal is generated.

[0025] Furthermore, the analysis and determination process of the external environment information is as follows:

[0026] First, obtain the ambient temperature on both sides of the ventilation hole of the power distribution cabinet, mark the ambient temperature inside the ventilation hole as Tn, and mark the ambient temperature outside the ventilation hole as Tw, obtain the internally stored temperature difference reference value Tx, and then compare and analyze the difference between Tn and Tw with the temperature difference reference value Tx:

[0027] When Tn-Tw>Tx, an external temperature over-high signal is generated;

[0028] When Tn-Tw>Tx, a troubleshooting signal is generated.

[0029] Further, upon receiving the fault troubleshooting signal, the monitoring and determination unit immediately collects the dust concentration value inside the ventilation hole and marks it as Fn;

[0030] Then compare Fn with the dust concentration reference value Fx

[0031] When Fx≤Fn, a ventilation system fault signal is generated;

[0032] When Fx>Fn, a clearing signal is generated.

[0033] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0034] 1. In the present invention, the current fluctuation parameters and voltage fluctuation parameters within a period of time are collected, and the operation stability state of the current distribution cabinet is determined by calculating and comparing the two sets of parameters, and a corresponding signal is generated according to the determination result. When the operating voltage or operating current of the distribution cabinet fluctuates abnormally, an abnormal signal is generated. After receiving the abnormal signal, the internal environment monitoring unit performs cross-data processing on the collected internal environment data on the basis of spatial division of the distribution cabinet, thereby checking the internal influencing factors, and the early warning unit makes corresponding risk warnings according to the checking results, so as to further ensure the normal transportation of electricity;

[0035] 2. In the present invention, after the influence of internal environmental factors on abnormal operation of the distribution cabinet is reduced, the external environmental monitoring unit and the supervision and judgment unit are used to conduct in-depth investigation of the external influencing factors that cause abnormal operation of the distribution cabinet, which can make the operating environment monitoring process more intelligent and the monitoring results more accurate. This progressive monitoring method can avoid the sharp increase in calculation amount caused by the simultaneous monitoring of internal and external influencing factors. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 It is a system principle block diagram of the present invention. DETAILED DESCRIPTION

[0037] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions 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 are within the scope of protection of the present invention.

[0038] Embodiment 1:

[0039] like Figure 1 As shown, the present invention proposes an IoT-based high and low voltage distribution cabinet operating environment monitoring and early warning system, including a server, an operation evaluation unit, an internal environment monitoring unit, an external environment monitoring unit, a supervision determination unit and an early warning unit, wherein the early warning unit includes a display module;

[0040] The server generates a monitoring instruction and sends the monitoring instruction to the operation evaluation unit. After receiving the monitoring instruction, the operation evaluation unit immediately collects the operation data of the power distribution cabinet and monitors and analyzes the operation data. The monitoring and analysis process of the operation evaluation unit is as follows:

[0041] Step 1: Obtain the duration of a period of time and mark it as monitoring duration, divide the monitoring duration into i sub-time nodes, where i is a natural number greater than zero, and obtain the operating data of the distribution cabinet in each sub-time node, wherein the operating data includes the voltage value and current value of the distribution cabinet;

[0042] Step 2: Calculate the absolute value of the difference between the current values ​​of two adjacent sub-time nodes, and use it to construct a current fluctuation parameter set A, obtain the average value of the set A, and mark it as the current fluctuation value Ca;

[0043] The absolute value of the difference between the voltage values ​​of two adjacent sub-time nodes is calculated, and a voltage fluctuation parameter set B is constructed based on the difference; the average value of the set B is obtained, and the average value is marked as the voltage fluctuation value Cv;

[0044] Step 3: According to the formula Obtain an operation stability coefficient value Y, wherein x1, x2, x3 and x4 are all preset correction factors, and x1, x2, x3 and x4 are all greater than 0, and then compare and analyze the operation stability coefficient value Y with the operation stability coefficient threshold;

[0045] If Y∈[Ymin, Ymax], no processing is done;

[0046] like An abnormal signal is generated, indicating that the operating voltage or operating current of the power distribution cabinet has abnormal fluctuations;

[0047] After receiving the abnormal signal, the internal environment monitoring unit immediately collects the internal environment information of the power distribution cabinet and analyzes and determines the internal environment information. The internal environment analysis and determination process is as follows:

[0048] Step 1: Obtain the space inside the distribution cabinet to generate a monitoring space, divide the monitoring space into m monitoring areas with equal volume, collect the average temperature data of the center position of each monitoring area during the monitoring period and the number of electrical equipment contained in the monitoring area. When an electrical equipment spans two monitoring areas, each monitoring area is recorded as adding an electrical equipment. The average temperature of the monitoring area with more electrical equipment will be higher than that of the monitoring area with fewer electrical equipment. The average temperature data of the center position of each monitoring area during the monitoring period is the average temperature of the i-time sub-nodes of the area, which is marked as the regional average temperature.

[0049] Step 2: Get the area where the average temperature exceeds the preset temperature area, and construct set B; then get the area where the number of electrical equipment exceeds the preset electrical equipment reference value, and construct set C, and then get the relative complement BC of C in B (the area belongs to set B but not to set C); and get the number of elements X in BC and the number of elements Y in B; BC is the set where the number of electrical equipment does not exceed the preset electrical equipment reference value, but the average temperature of the area exceeds the preset temperature area, and mark the ratio of X to mY as the environmental impact factor determination value;

[0050] Step 3: Compare and analyze the environmental impact factor judgment value with the impact factor reference value.

[0051] When the environmental influencing factor judgment value is less than the influencing factor reference value, a maintenance warning signal is generated. The smaller the ratio of X to mY, the greater the probability that the abnormal current and voltage values ​​of the distribution cabinet are caused by the fault of the electrical equipment itself, so timely maintenance is required;

[0052] When the environmental influencing factor judgment value ≥ the influencing factor reference value, an external environmental monitoring signal is generated. The larger the ratio of X to mY, the higher the temperature in a large area inside the distribution cabinet, which leads to abnormal current and voltage values ​​in the distribution cabinet.

[0053] After receiving the external environment monitoring signal, the external environment monitoring unit immediately collects the external environment information of the power distribution cabinet and analyzes and determines the external environment information. The analysis and determination process of the external environment information is as follows:

[0054] First, obtain the ambient temperature on both sides of the ventilation hole of the power distribution cabinet, mark the ambient temperature inside the ventilation hole as Tn, and mark the ambient temperature outside the ventilation hole as Tw, obtain the internally stored temperature difference reference value Tx, and then compare and analyze the difference between Tn and Tw with the temperature difference reference value Tx:

[0055] When Tn-Tw>Tx, an external temperature over-high signal is generated;

[0056] When Tn-Tw>Tx, a troubleshooting signal is generated.

[0057] After receiving the fault troubleshooting signal, the monitoring and determination unit immediately collects the dust concentration value inside the ventilation hole and marks it as Fn;

[0058] Then compare Fn with the dust concentration reference value Fx

[0059] When Fx≤Fn, a ventilation system fault signal is generated;

[0060] When Fx>Fn, a cleanup signal is generated;

[0061] and sending the generated cleaning signal and ventilation system fault signal to the early warning unit;

[0062] After receiving the corresponding signal, the early warning unit uses the display module to provide text-based risk warnings, making it easier to take corresponding actions in a timely manner based on the operating status of the distribution cabinet.

[0063] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A high and low voltage distribution cabinet operating environment monitoring and early warning system based on the Internet of Things, characterized in that: It includes a server, an operation evaluation unit, an internal environment monitoring unit, an external environment monitoring unit, a supervision determination unit and an early warning unit, wherein the early warning unit includes a display module; The server generates a monitoring instruction and sends the monitoring instruction to the operation evaluation unit. After receiving the monitoring instruction, the operation evaluation unit immediately collects the operation data of the power distribution cabinet, monitors and analyzes the operation data to obtain an abnormal signal, and sends the abnormal signal to the internal environment monitoring unit; After receiving the abnormal signal, the internal environment monitoring unit immediately collects the internal environment information of the power distribution cabinet, analyzes and determines the internal environment information, and sends the generated maintenance warning signal to the warning unit and the external environment monitoring signal to the external environment monitoring unit; After receiving the external environment monitoring signal, the external environment monitoring unit immediately collects the external environment information of the power distribution cabinet, analyzes and determines the external environment information, and sends the generated external temperature over-high signal to the early warning unit and sends the fault troubleshooting signal to the supervision and determination unit; After receiving the fault troubleshooting signal, the supervision and determination unit immediately checks the ventilation condition inside the power distribution cabinet, and sends the generated cleaning signal and ventilation system fault signal to the early warning unit; After receiving the corresponding signal, the early warning unit uses the display module to provide text-based risk warnings, so that it is convenient to make corresponding treatments according to the operating status of the distribution cabinet in a timely manner; The monitoring and analysis process of the operation evaluation unit is as follows: Step 1: Obtain the duration of a period of time and mark it as monitoring duration, divide the monitoring duration into i sub-time nodes, where i is a natural number greater than zero, and obtain the operating data of the distribution cabinet in each sub-time node, wherein the operating data includes the voltage value and current value of the distribution cabinet; Step 2: Calculate the absolute value of the difference between the current values ​​of two adjacent sub-time nodes, and use it to construct a current fluctuation parameter set A, obtain the average value of the set A, and mark it as the current fluctuation value Ca; The absolute value of the difference between the voltage values ​​of two adjacent sub-time nodes is calculated, and a voltage fluctuation parameter set B is constructed based on the difference; the average value of the set B is obtained and marked as the voltage fluctuation value Cv; Step 3: According to the formula Obtain an operation stability coefficient value Y, wherein x1, x2, x3 and x4 are all preset correction factors, and x1, x2, x3 and x4 are all greater than 0, and then compare and analyze the operation stability coefficient value Y with the operation stability coefficient threshold; If Y∈[Ymin, Ymax], no processing is done; If Y∉[Ymin, Ymax], an abnormal signal is generated; The internal environment analysis and determination process is as follows: Step 1: Obtain the space inside the distribution cabinet to generate a monitoring space, divide the monitoring space into m monitoring areas with equal volume, collect the average temperature data of the center position of each monitoring area during the monitoring period and the number of electrical equipment contained in the monitoring area; the average temperature data of the center position of each monitoring area during the monitoring period is the average temperature of the i-time sub-nodes in the area, which is marked as the regional average temperature; Step 2: Get the area where the average temperature exceeds the preset temperature area, and construct set B; then get the area where the number of electrical equipment exceeds the preset electrical equipment reference value, and construct set C, and then get the relative complement BC of C in B; and get the number of elements X in BC and the number of elements Y in B; and mark the ratio of X to mY as the environmental impact factor judgment value; Step 3: Compare and analyze the environmental impact factor judgment value with the impact factor reference value. When the environmental impact factor judgment value is less than the impact factor reference value, a maintenance warning signal is generated; When the environmental impact factor judgment value ≥ the impact factor reference value, an external environment monitoring signal is generated; The analysis and determination process of the external environment information is as follows: First, obtain the ambient temperature on both sides of the ventilation hole of the power distribution cabinet, mark the ambient temperature inside the ventilation hole as Tn, and mark the ambient temperature outside the ventilation hole as Tw, obtain the internally stored temperature difference reference value Tx, and then compare and analyze the difference between Tn and Tw with the temperature difference reference value Tx: When Tn-Tw>Tx, an external temperature over-high signal is generated; When Tn-Tw>Tx, a fault troubleshooting signal is generated; After receiving the fault troubleshooting signal, the monitoring and determination unit immediately collects the dust concentration value inside the ventilation hole and marks it as Fn; Then compare and analyze Fn with the dust concentration reference value Fx When Fx≤Fn, a ventilation system fault signal is generated; When Fx>Fn, a clearing signal is generated.

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