Intelligent control method and system of power distribution cabinet and power distribution cabinet

Abstract

The invention belongs to the technical field of internet platforms, and provides an intelligent control method and system for a power distribution cabinet, and the method comprises the following steps: obtaining the magnetic induction intensity of the power distribution cabinet, and obtaining the constant magnetic time according to the magnetic induction intensity; the arc light intensity and the temperature value of the arc light sensor under the constant magnetic time are obtained, and the early warning temperature is calculated; the real-time arc light average temperature of the power distribution cabinet is obtained, and when the arc light average temperature exceeds the early warning temperature, warning information is sent to the Internet platform; according to the intelligent control method provided by the embodiment of the invention, arc damage can be prevented by intelligently locking the power distribution cabinet.

Description

Technical Field

[0001] The present invention belongs to the technical field of Internet platforms, and specifically relates to an intelligent control method and system for a power distribution cabinet, and a power distribution cabinet. Background Art

[0002] At present, since distribution cabinets are usually used to power multiple devices. If the power demand of the equipment is uneven, some circuits may be overloaded while other circuits are in a lightly loaded state. When the load of a certain line exceeds its rated carrying capacity, the current will increase, causing the line to heat up. The overload current not only increases energy loss, but also may cause the conductor temperature to rise. If the overload lasts for a long time, it will cause a lot of heat to be generated in the cables, connectors and internal components of the distribution cabinet. In addition, in the case of overload, the temperature in the line rises sharply, which will further cause the insulating material to melt or crack, forming a gas channel. When the current passes through these gas channels, arc discharge will occur. The arc discharge releases a lot of heat, further exacerbating the local temperature rise, causing the arc to persist and even expand to other components. Then the heat generated by the arc will cause the temperature of the surrounding wires and insulating materials to continue to rise, forming a vicious circle and accelerating the occurrence of failures.

[0003] Moreover, in a closed space such as a distribution cabinet, electric arcs are particularly harmful to people. The strong radiation energy caused by the arc energy, the splashing of molten metal, secondary flames, ignition and melting of clothing, etc. can all cause burns to people and can also cause people to be electrocuted to death. The strong impact force in a closed space can cause serious physical damage to people, so an intelligent control method for a distribution cabinet is needed. When there is an arc hazard in the distribution cabinet, the distribution cabinet can be intelligently locked to prevent arc damage. Summary of the invention

[0004] The present invention aims to solve at least one of the technical problems in the related art to a certain extent. To this end, the first object of the present invention is to provide an intelligent control method and system for a power distribution cabinet and a power distribution cabinet method, when there is an arc hazard in the power distribution cabinet, the power distribution cabinet can be intelligently locked to prevent arc damage;

[0005] The second object of the present invention is to provide an intelligent control method and system for a power distribution cabinet and a power distribution cabinet system.

[0006] To achieve the above object, a first embodiment of the present invention provides an intelligent control method for a power distribution cabinet, the method comprising the following steps:

[0007] S100, obtaining the magnetic induction intensity of the power distribution cabinet, and obtaining the constant magnetic time according to the magnetic induction intensity;

[0008] S200, obtaining the arc intensity and temperature value of the arc sensor under the constant magnetization time, and calculating the warning temperature;

[0009] S300, obtain the real-time average arc temperature of the distribution cabinet, and send an alarm message to the Internet platform when the average arc temperature exceeds the warning temperature.

[0010] According to the intelligent control method of the embodiment of the present invention, when there is an arc hazard in the power distribution cabinet, arc damage can be prevented by intelligently locking the power distribution cabinet.

[0011] Since the distribution cabinet is an important part of the power system and is responsible for the transmission and distribution of large currents, arc discharge may occur when the current fluctuates. Arc discharge can cause high temperatures. If it is not monitored and warned, it will lead to the risk of fire and explosion.

[0012] Furthermore, in step S100, the magnetic induction intensity of the power distribution cabinet is obtained, and the constant magnetic time is obtained according to the magnetic induction intensity;

[0013] Specifically, the average magnetic induction intensity of the distribution cabinet in each time interval T is obtained through the Hall sensor, and the average magnetic induction intensity is the average value of all instantaneous magnetic induction intensities per second in the time interval, where the time interval T is set to [0.5, 5] seconds; Mag(Tj) is recorded as the average magnetic induction intensity of the distribution cabinet in Tj, where Tj=[(j-1)*T, j*T], j=1, 2, ..., H, H∈[5, 100]; the minimum value of each Mag(Tj) is obtained and recorded as Mag(Tz), and Tz is recorded as the constant magnetic time, z∈[1, H].

[0014] The beneficial effect of this step is that through the Hall sensor, the system can continuously measure the magnetic induction intensity of the distribution cabinet in multiple time periods, record the changes in the magnetic field in these time periods, and find the time period with the smallest magnetic induction intensity from these data, that is, the constant magnetic time. During this time period, the magnetic field fluctuation is the smallest and the current is relatively stable. Therefore, choosing the constant magnetic time to measure the arc intensity can effectively reduce the interference of current fluctuations on the measurement results and improve the accuracy of monitoring.

[0015] In step S200, the steps of obtaining the arc intensity and temperature value of the arc sensor under the constant magnetization time and calculating the warning temperature include:

[0016] S210, obtaining the arc intensity and temperature value of the arc sensor under the constant magnetic time, and calculating the average magnetic arc intensity;

[0017] The number of arc sensors is obtained as G, i represents the serial number of the arc sensor, Arc(Tz, i) is used to represent the arc intensity value in the arc sensor with serial number i in the time period Tz, i=1, 2, ..., G, the arc intensity values ​​of all arc sensors in the time period Tz are obtained, the maximum arc intensity value in the time period Tz is recorded as ArcM, the minimum arc intensity value is recorded as ArcU, and the average value of all arc intensity values ​​is recorded as ArcT; the average magnetic arc intensity is recorded as ARCO, wherein the calculation method of ARCO is: first calculate the difference Ad(Tz, i) between Arc(Tz, i) and ArcU, and sum all Ad(Tz, i) and divide it by G×(ArcM-ArcU) to obtain the arc overflow ratio ax; the average magnetic arc intensity ARCO is calculated by the arc overflow ratio ax: ARCO=ArcT+Arcu×ax;

[0018] The beneficial effect of this step is: since there are multiple arc sensors in the distribution cabinet, the arc intensity data of each sensor will have certain differences, and these differences are affected by multiple factors (such as sensor position, current fluctuation, etc.), and directly using the reading of a single sensor is prone to misjudgment of the arc intensity. Therefore, it is necessary to comprehensively evaluate the arc intensity of each sensor to obtain a more representative arc intensity, that is, the average magnetic arc intensity ARCO, to reflect the arc activity status of the entire distribution cabinet. By introducing the arc overflow ratio ax to adjust the difference between the extreme value (maximum and minimum value) and the average value of all sensors, if the arc intensity of a sensor is high, then its deviation will increase significantly, thereby amplifying the impact of the sensor on the overall evaluation through ax. At the same time, the arc overflow ratio ax can keep the weight of sensors whose values ​​are close to the average value stable, and will not cause excessive interference to the overall evaluation due to a few extreme values, ensuring that the arc intensity of each sensor is fairly considered, and avoiding the deviation problem that may be caused by relying only on the average value.

[0019] In arc monitoring, extreme values ​​have an important impact on the overall judgment. The maximum value ArcM represents the highest arc intensity that the system can withstand, while the minimum value ArcU reflects the most stable sensor data in the system. By adjusting the arc overflow ratio ax, the calculation result of the arc intensity can better reflect the differences between sensors and comprehensively show the overall arc activity of the distribution cabinet.

[0020] Since distribution cabinets are usually used to power multiple devices. If the power demand of the equipment is unbalanced, some circuits will be overloaded while other circuits will be lightly loaded. When the load of a certain line exceeds its rated carrying capacity, the current will increase, causing the line to heat up. The overload current not only increases energy loss, but may also cause the conductor temperature to rise. If the overload lasts for a long time, it will cause the cables, connectors and internal components of the distribution cabinet to generate a lot of heat. The temperature rise may exceed the tolerance limit of the insulation material, accelerate the aging of the insulation material, reduce its insulation performance, and cause electrical leakage or short circuit, thereby causing arc explosion or short circuit, and increasing the risk of fire.

[0021] In order to solve the above problem, in step S220, performing temperature offset analysis on the temperature value of the circuit where the arc sensor is located specifically includes the following steps:

[0022] S221, obtaining the temperature value of the circuit where the arc sensor is located;

[0023] The temperature values ​​of the lines where all arc sensors are located in the time period Tz are obtained through the temperature sensor, and TPM(Tz, i) represents the temperature value of the line where the arc sensor with serial number i is located in the time period Tz; the maximum temperature value of the line where all arc sensors are located is recorded as Tmax(TZ), and the average temperature value of the line where all arc sensors are located is recorded as Tmid(TZ);

[0024] S222, define an integer variable k, set its initial value to 1, and create two variables Tm1 and Tm2 that are initially zero for subsequent calculations and comparisons.

[0025] S223, perform temperature offset analysis on the temperature value of the circuit where the arc sensor is located, wherein the temperature offset analysis is as follows: create two blank sequences Ta and Tb, calculate the values ​​of Tm1 and Tm2, ​​wherein: Tm1 is Tmax(TZ)-TPM(Tz, k), Tm2 is the absolute value of the difference between TPM(Tz, k+1) and TPM(Tz, k); compare the values ​​of Tm1 and Tm2: if Tm1 is less than Tm2, ​​add TPM(Tz, k) to the sequence Ta, if Tm1 is greater than or equal to Tm2, ​​add TPM(Tz, k) to the sequence Tb.

[0026] S224, determine whether the temperature offset analysis is completed. The specific determination method is: if the current variable k is less than G, increase k by 1, and return to step S223 to continue the temperature offset analysis; if the current variable k is equal to G, it means that the temperature offset analysis has been processed and completed.

[0027] S225, obtain the median of the sequence Ta and record it as zjx, obtain the median of the sequence Tb and record it as zgx.

[0028] Beneficial effects of this step: Temperature offset analysis can compare the temperature data measured by different sensors, helping the system to identify areas of local temperature anomalies. By dividing the temperature values ​​of the arc sensor line into two sequences and performing offset analysis on them, the impact of extreme temperature values ​​on the overall average temperature judgment can be reduced, making temperature monitoring more accurate and reasonable. The results of temperature offset analysis can directly affect the calculation of arc offset temperature and warning temperature, thereby helping the system determine whether it is necessary to issue an alarm or take further protective measures, providing more detailed temperature data and making the warning mechanism more reliable.

[0029] S230, calculating arc offset temperature according to the result of temperature offset analysis, and calculating warning temperature through arc offset temperature;

[0030] The method for obtaining the arc offset temperature HGTP is:

[0031] HGTP=|(zjx-zgx)|ArcT / ARCO;

[0032] Where || is the absolute value symbol;

[0033] By calculating the difference between zjx and zgx, the system can capture the difference between the temperature anomaly area and the overall temperature. This difference is adjusted against the background of arc intensity, using the arc intensity ArcT as a balancing factor to make the arc offset temperature more representative. This adjustment can reflect the temperature offset caused by arc activity and measure the potential risks inside the distribution cabinet.

[0034] Among them, the calculation method of the warning temperature WRTP is: WRTP=|zjx-HGTP | ; Where || is the absolute value symbol, and the warning temperature is calculated by subtracting the arc offset temperature HGTP from zjx. Since zjx represents the median of the higher temperature value of the line where the arc sensor is located, after subtracting the arc offset temperature, the setting of the warning temperature can ensure that the system will issue an alarm message in time when the temperature exceeds the normal range; on the other hand, since the arc offset temperature HGTP is a comprehensive reflection of temperature anomalies and arc activities, it indicates the temperature changes caused by arc discharge; and the warning temperature WRTP calculated by the arc offset temperature HGTP, the system can more accurately capture the thermal and arc anomalies inside the distribution cabinet, help the system prevent further failures, and start the locking mechanism to protect the safety of equipment and the surrounding environment.

[0035] The beneficial effects of this step are: since arc discharge is usually accompanied by drastic changes in temperature, and temperature anomaly is an important signal of equipment failure, by analyzing temperature offset, on the one hand, temperature anomaly areas can be identified; on the other hand, by calculating the arc offset temperature and the warning temperature, it is possible to promptly identify whether the system is facing the risk of overheating or arc explosion due to arc discharge, and issue an alarm in advance to prevent equipment damage.

[0036] S300, obtaining the real-time average arc temperature of the power distribution cabinet. When the average arc temperature exceeds the warning temperature, an alarm message is sent to the Internet platform and the power distribution cabinet is locked;

[0037] Calculate the average temperature value TPv(Tj) of the line where all arc sensors are located in each time period Tj, and then calculate the average value of all TPv(Tj) and record it as the arc average temperature TPadv. When TPadv exceeds the warning temperature WRTP, the distribution cabinet is locked. By calculating the sensor temperature average TPv(Tj) in each time period, the temperature change in each time slice can be captured to help the system analyze the temperature change trend. The arc average temperature TPadv is a global temperature indicator based on the temperature average of multiple time periods, reflecting the overall temperature change state of the distribution cabinet. If the arc average temperature TPadv exceeds the warning temperature, it means that the distribution cabinet line of the equipment has an excessive discharge and an arc burst trend during the entire monitoring period, and the cabinet door of the distribution cabinet is locked. After the distribution cabinet is locked, the cabinet door can only be opened by the maintenance team in a physical way to prevent any non-professionals from causing arc bursts through electronic unlocking or misoperation, causing harm to the maintenance team or people around.

[0038] Among them, the lines include electrical paths related to current transmission in the distribution cabinet, and the temperature changes of these lines directly affect the safety and stability of the distribution system.

[0039] Among them, the Internet platform includes a cloud server, which is used to monitor the distribution cabinet.

[0040] The beneficial effects of the present invention are as follows: by real-time monitoring of the magnetic induction intensity, arc intensity and temperature of the distribution cabinet, combined with comprehensive data analysis, the risk of overheating and explosion caused by arc discharge can be effectively reduced, and the constant magnetic time can be obtained by the Hall sensor, and the average magnetic arc intensity (ARCO) can be calculated by integrating the data of multiple arc sensors to ensure accurate arc intensity measurement and reduce misjudgment. Local temperature anomalies can be identified through temperature offset analysis to discover potential fault risks in advance. When the arc average temperature exceeds the warning temperature, the system automatically locks the distribution cabinet to prevent unauthorized operation, enhance safety protection measures, and ensure safe and stable operation of the power system.

[0041] To achieve the above-mentioned purpose, the second aspect embodiment of the present invention further proposes an intelligent control system for a distribution cabinet, the intelligent control system for the distribution cabinet comprising: a processor, a memory and a computer program stored in the memory and executable on the processor, the processor implementing the steps in an intelligent control method for a distribution cabinet when executing the computer program, the intelligent control system for the distribution cabinet running on a desktop computer, a notebook, a PDA and a computing device in a cloud data center.

[0042] The intelligent control method of the distribution cabinet is executed through the intelligent control system of the distribution cabinet. When there is an arc hazard in the distribution cabinet, the distribution cabinet can be intelligently locked to prevent arc damage.

[0043] To achieve the above-mentioned purpose, the third aspect of the embodiment of the present invention further proposes a distribution cabinet, which integrates an intelligent control system of the distribution cabinet, realizes real-time monitoring and control of the operating status of the distribution cabinet through a processor and a memory, and can perform intelligent locking to prevent arc damage. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 Shown is a flow chart of an intelligent control method for a power distribution cabinet;

[0045] Figure 2 Shown is the structure diagram of the intelligent control system of the distribution cabinet. DETAILED DESCRIPTION

[0046] Embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, and should not be construed as limiting the present invention.

[0047] Figure 1 Shown is a flow chart of an intelligent control method for a distribution cabinet.

[0048] Reference Figure 1 The present invention proposes an intelligent control method for a power distribution cabinet, the method comprising the following steps:

[0049] S100, obtaining the magnetic induction intensity of the power distribution cabinet, and obtaining the constant magnetic time according to the magnetic induction intensity;

[0050] S200, obtaining the arc intensity and temperature value of the arc sensor under the constant magnetization time, and calculating the warning temperature;

[0051] S300, obtain the real-time average arc temperature of the distribution cabinet, and send an alarm message to the Internet platform when the average arc temperature exceeds the warning temperature.

[0052] According to the intelligent control method of the embodiment of the present invention, when there is an arc hazard in the power distribution cabinet, arc damage can be prevented by intelligently locking the power distribution cabinet.

[0053] Since the distribution cabinet is an important part of the power system and is responsible for the transmission and distribution of large currents, arc discharge may occur when the current fluctuates. Arc discharge can cause high temperatures. If it is not monitored and warned, it will lead to the risk of fire and explosion.

[0054] Furthermore, in step S100, the magnetic induction intensity of the power distribution cabinet is obtained, and the constant magnetic time is obtained according to the magnetic induction intensity;

[0055] Specifically, the average magnetic induction intensity of the distribution cabinet in each time interval T is obtained through the Hall sensor, and the average magnetic induction intensity is the average value of all instantaneous magnetic induction intensities per second in the time interval, where the time interval T is set to [0.5, 5] seconds; Mag(Tj) is recorded as the total magnetic induction intensity received by the distribution cabinet in Tj, where Tj=[(j-1)*T, j*T], j=1, 2, ..., H, H∈[5, 100]; the minimum value of each Mag(Tj) is obtained and recorded as Mag(Tz), and Tz is recorded as the constant magnetic time, z∈[1, H].

[0056] The beneficial effect of this step is that through the Hall sensor, the system can continuously measure the magnetic induction intensity of the distribution cabinet in multiple time periods, record the changes in the magnetic field in these time periods, and find the time period with the smallest magnetic induction intensity from these data, that is, the constant magnetic time. During this time period, the magnetic field fluctuation is the smallest and the current is relatively stable. Therefore, choosing the constant magnetic time to measure the arc intensity can effectively reduce the interference of current fluctuations on the measurement results and improve the accuracy of monitoring.

[0057] In step S200, the steps of obtaining the arc intensity and temperature value of the arc sensor under the constant magnetization time and calculating the warning temperature include:

[0058] S210, obtaining the arc intensity and temperature value of the arc sensor under the constant magnetic time, and calculating the average magnetic arc intensity;

[0059] The number of arc sensors is obtained as G, i represents the serial number of the arc sensor, Arc(Tz, i) represents the arc intensity value in the arc sensor with serial number i in the time period Tz, i=1, 2, ..., G, the arc intensity values ​​of all arc sensors in the time period Tz are obtained, the maximum arc intensity value in the time period Tz is recorded as ArcM, the minimum arc intensity value is recorded as ArcU, and the average value of all arc intensity values ​​is recorded as ArcT; the average magnetic arc intensity is recorded as ARCO, wherein the calculation method of ARCO is: first calculate the difference Ad(Tz, i) between Arc(Tz, i) and ArcU, and sum all Ad(Tz, i) and divide it by G×(ArcM-ArcU) to obtain the arc overflow ratio ax; the average magnetic arc intensity ARCO is calculated by the arc overflow ratio ax: ARCO=ArcT+Arcu×ax;

[0060] The beneficial effect of this step is: since there are multiple arc sensors in the distribution cabinet, the arc intensity data of each sensor will have certain differences, and these differences are affected by multiple factors (such as sensor position, current fluctuation, etc.), and directly using the reading of a single sensor is prone to misjudgment of the arc intensity. Therefore, it is necessary to comprehensively evaluate the arc intensity of each sensor to obtain a more representative arc intensity, that is, the average magnetic arc intensity ARCO, to reflect the arc activity status of the entire distribution cabinet. By introducing the arc overflow ratio ax to adjust the difference between the extreme value (maximum and minimum value) and the average value of all sensors, if the arc intensity of a sensor is high, then its deviation will increase significantly, thereby amplifying the impact of the sensor on the overall evaluation through ax. At the same time, the arc overflow ratio ax can keep the weight of sensors whose values ​​are close to the average value stable, and will not cause excessive interference to the overall evaluation due to a few extreme values, ensuring that the arc intensity of each sensor is fairly considered, and avoiding the deviation problem that may be caused by relying only on the average value.

[0061] In arc monitoring, extreme values ​​have an important impact on the overall judgment. The maximum value ArcM represents the highest arc intensity that the system can withstand, while the minimum value ArcU reflects the most stable sensor data in the system. By adjusting the arc overflow ratio ax, the calculation result of the arc intensity can better reflect the differences between sensors and comprehensively show the overall arc activity of the distribution cabinet.

[0062] Since distribution cabinets are usually used to power multiple devices. If the power demand of the equipment is unbalanced, some circuits will be overloaded while other circuits will be lightly loaded. When the load of a certain line exceeds its rated carrying capacity, the current will increase, causing the line to heat up. The overload current not only increases energy loss, but may also cause the conductor temperature to rise. If the overload lasts for a long time, it will cause the cables, connectors and internal components of the distribution cabinet to generate a lot of heat. The temperature rise may exceed the tolerance limit of the insulation material, accelerate the aging of the insulation material, reduce its insulation performance, and cause electrical leakage or short circuit, thereby causing arc explosion or short circuit, and increasing the risk of fire.

[0063] In order to solve the above problem, in step S220, performing temperature offset analysis on the temperature value of the circuit where the arc sensor is located specifically includes the following steps:

[0064] S221, obtaining the temperature value of the circuit where the arc sensor is located;

[0065] The temperature values ​​of the lines where all arc sensors are located in the time period Tz are obtained through the temperature sensor, and TPM(Tz, i) represents the temperature value of the line where the arc sensor with serial number i is located in the time period Tz; the maximum temperature value of the line where all arc sensors are located is recorded as Tmax(TZ), and the average temperature value of the line where all arc sensors are located is recorded as Tmid(TZ);

[0066] S222, define an integer variable k, set its initial value to 1, and create two variables Tm1 and Tm2 that are initially zero for subsequent calculations and comparisons.

[0067] S223, perform temperature offset analysis on the temperature value of the circuit where the arc sensor is located, wherein the temperature offset analysis is as follows: create two blank sequences Ta and Tb, calculate the values ​​of Tm1 and Tm2, ​​wherein: Tm1 is Tmax(TZ)-TPM(Tz, k), Tm2 is the absolute value of the difference between TPM(Tz, k+1) and TPM(Tz, k); compare the values ​​of Tm1 and Tm2: if Tm1 is less than Tm2, ​​add TPM(Tz, k) to the sequence Ta, if Tm1 is greater than or equal to Tm2, ​​add TPM(Tz, k) to the sequence Tb.

[0068] S224, determine whether the temperature offset analysis is completed. The specific determination method is: if the current variable k is less than G, increase k by 1, and return to step S223 to continue the temperature offset analysis; if the current variable k is equal to G, it means that the temperature offset analysis has been processed and completed.

[0069] S225, obtaining the median of the sequence Ta and recording it as zjx, obtaining the median of the sequence Tb and recording it as zgx;

[0070] Beneficial effects of this step: Temperature offset analysis can compare the temperature data measured by different sensors, helping the system to identify areas of local temperature anomalies. By dividing the temperature values ​​of the arc sensor line into two sequences and performing offset analysis on them, the impact of extreme temperature values ​​on the overall average temperature judgment can be reduced, making temperature monitoring more accurate and reasonable. The results of temperature offset analysis can directly affect the calculation of arc offset temperature and warning temperature, thereby helping the system determine whether it is necessary to issue an alarm or take further protective measures, providing more detailed temperature data and making the warning mechanism more reliable.

[0071] S230, calculating arc offset temperature according to the result of temperature offset analysis, and calculating warning temperature through arc offset temperature;

[0072] The method for obtaining the arc offset temperature HGTP is:

[0073] HGTP=|(zjx-zgx)|ArcT / ARCO;

[0074] Where || is the absolute value symbol;

[0075] By calculating the difference between zjx and zgx, the system can capture the difference between the temperature anomaly area and the overall temperature. This difference is adjusted against the background of arc intensity, using the arc intensity ArcT as a balancing factor to make the arc offset temperature more representative. This adjustment can reflect the temperature offset caused by arc activity and measure the potential risks inside the distribution cabinet.

[0076] Among them, the calculation method of the warning temperature WRTP is: WRTP = |zjx-HGTP|; where || is the absolute value symbol, and the warning temperature is calculated by subtracting the arc offset temperature HGTP from zjx. Since zjx represents the median of the higher temperature value of the line where the arc sensor is located, after subtracting the arc offset temperature, the setting of the warning temperature can ensure that the system will issue an alarm message in time when the temperature exceeds the normal range; on the other hand, since the arc offset temperature HGTP is a comprehensive reflection of temperature anomalies and arc activities, it indicates the temperature changes caused by arc discharge; and the warning temperature WRTP obtained by calculating the arc offset temperature HGTP, the system can more accurately capture the thermal and arc anomalies inside the distribution cabinet, help the system prevent further failures, and start the locking mechanism to protect the safety of equipment and the surrounding environment.

[0077] The beneficial effects of this step are: since arc discharge is usually accompanied by drastic changes in temperature, and temperature anomaly is an important signal of equipment failure, by analyzing temperature offset, on the one hand, temperature anomaly areas can be identified; on the other hand, by calculating the arc offset temperature and the warning temperature, it is possible to promptly identify whether the system is facing the risk of overheating or arc explosion due to arc discharge, and issue an alarm in advance to prevent equipment damage.

[0078] S300, obtaining the real-time average arc temperature of the power distribution cabinet. When the average arc temperature exceeds the warning temperature, an alarm message is sent to the Internet platform and the power distribution cabinet is locked;

[0079] Calculate the average temperature value TPv(Tj) of the line where all arc sensors are located in each time period Tj, and then calculate the average value of all TPv(Tj) and record it as the arc average temperature TPadv. When TPadv exceeds the warning temperature WRTP, the distribution cabinet is locked. By calculating the sensor temperature average TPv(Tj) in each time period, the temperature change in each time slice can be captured to help the system analyze the temperature change trend. The arc average temperature TPadv is a global temperature indicator based on the temperature average of multiple time periods, reflecting the overall temperature change state of the distribution cabinet. If the arc average temperature TPadv exceeds the warning temperature, it means that the distribution cabinet line of the equipment has an excessive discharge and an arc burst trend during the entire monitoring period, and the cabinet door of the distribution cabinet is locked. After the distribution cabinet is locked, the cabinet door can only be opened by the maintenance team in a physical way to prevent any non-professionals from causing arc bursts through electronic unlocking or misoperation, causing harm to the maintenance team or people around.

[0080] The beneficial effects of the present invention are as follows: by real-time monitoring of the magnetic induction intensity, arc intensity and temperature of the distribution cabinet, combined with comprehensive data analysis, the risk of overheating and explosion caused by arc discharge can be effectively reduced, and the constant magnetic time can be obtained by the Hall sensor, and the average magnetic arc intensity (ARCO) can be calculated by integrating the data of multiple arc sensors to ensure accurate arc intensity measurement and reduce misjudgment. Local temperature anomalies can be identified through temperature offset analysis to discover potential fault risks in advance. When the arc average temperature exceeds the warning temperature, the system automatically locks the distribution cabinet to prevent unauthorized operation, enhance safety protection measures, and ensure safe and stable operation of the power system.

[0081] Figure 2 Shown is an intelligent control method and system for a power distribution cabinet and a structure diagram of a power distribution cabinet system.

[0082] Reference Figure 2The present invention also proposes an intelligent control method and system for a distribution cabinet and a distribution cabinet system 20. The intelligent control method and system for a distribution cabinet and the distribution cabinet system 20 include: a processor, a memory, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps in an intelligent control method for a distribution cabinet are implemented. The intelligent control system 20 of the distribution cabinet runs on a desktop computer, a notebook, a PDA, and a computing device in a cloud data center.

[0083] The intelligent control system comprises: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to run in the following units of the intelligent control system:

[0084] The acquisition unit 21 is used to obtain the magnetic induction intensity of the power distribution cabinet and obtain the constant magnetic time according to the magnetic induction intensity;

[0085] The calculation unit 22 is used to obtain the arc intensity and temperature value of the arc sensor under the constant magnetization time and calculate the warning temperature;

[0086] The detection unit 23 is used to obtain the real-time average arc temperature of the distribution cabinet, and when the average arc temperature exceeds the warning temperature, send an alarm message to the Internet platform.

[0087] The intelligent control method and system of a distribution cabinet and the distribution cabinet system can be run in computing devices such as desktop computers, notebooks, PDAs and cloud servers. The intelligent control system of the intelligent control method and system of a distribution cabinet and the distribution cabinet system can include, but is not limited to, a processor and a memory. Those skilled in the art can understand that the example is only an example of an intelligent control method and system of a distribution cabinet and a distribution cabinet system 20, and does not constitute a limitation on an intelligent control method and system of a distribution cabinet and a distribution cabinet system 20, which may include more or less components than the example, or a combination of certain components, or different components. For example, the intelligent control method and system of a distribution cabinet and the distribution cabinet system may also include input and output devices, network access devices, buses, etc.

[0088] The intelligent control method of the distribution cabinet is executed through the intelligent control method and system of the distribution cabinet and the distribution cabinet system 20. When there is an arc hazard in the distribution cabinet, arc damage can be prevented by intelligently locking the distribution cabinet.

[0089] To achieve the above-mentioned purpose, the third aspect of the embodiment of the present invention further proposes a distribution cabinet, which integrates an intelligent control system of the distribution cabinet, realizes real-time monitoring and control of the operating status of the distribution cabinet through a processor and a memory, and can perform intelligent locking to prevent arc damage.

[0090] It should be noted that the logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be specifically implemented in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection portion with one or more wirings (electronic device), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways if necessary, and then stored in a computer memory.

[0091] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0092] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "examples", "specific examples", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0093] In the description of the present invention, it is to be understood that the terms “center”, “longitudinal”, “lateral”, “length”, “width”, “thickness”, “up”, “down”, “front”, “back”, “left”, “right”, “vertical”, “horizontal”, “top”, “bottom”, “inside”, “outside”, “clockwise”, “counterclockwise”, “axial”, “radial”, “circumferential”, etc., indicating orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as limiting the present invention.

[0094] In addition, the terms "first", "second", etc. used in the embodiments of the present invention are only used for descriptive purposes and should not be understood as indicating or implying relative importance, or implicitly indicating the number of technical features indicated in the present embodiment. Therefore, the features defined by the terms "first", "second", etc. in the embodiments of the present invention can explicitly or implicitly indicate that the embodiment includes at least one of the features. In the description of the present invention, the word "multiple" means at least two or two or more, such as two, three, four, etc., unless otherwise clearly and specifically defined in the embodiments.

[0095] In the present invention, unless otherwise clearly specified or limited in the embodiments, the terms "installed", "connected", "connected" and "fixed" etc. in the embodiments should be understood in a broad sense. For example, the connection can be a fixed connection, a detachable connection, or an integrated connection. It can be understood that it can also be a mechanical connection, an electrical connection, etc.; of course, it can also be a direct connection, or an indirect connection through an intermediate medium, or it can be the internal connection of two elements, or the interaction relationship between two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to the specific implementation situation.

[0096] In the present invention, unless otherwise clearly specified and limited, a first feature being "above" or "below" a second feature may mean that the first and second features are in direct contact, or the first and second features are in indirect contact through an intermediate medium. Moreover, a first feature being "above", "above" or "above" a second feature may mean that the first feature is directly above or obliquely above the second feature, or simply means that the first feature is higher in level than the second feature. A first feature being "below", "below" or "below" a second feature may mean that the first feature is directly below or obliquely below the second feature, or simply means that the first feature is lower in level than the second feature.

[0097] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present invention.

Claims

1. An intelligent control method for a power distribution cabinet, characterized in that: The method comprises the following steps: S100, obtaining the magnetic induction intensity of the power distribution cabinet, and obtaining the constant magnetic time according to the magnetic induction intensity; S200, obtaining the arc intensity and temperature value of the arc sensor under the constant magnetization time, and calculating the warning temperature; S300, obtain the real-time average arc temperature of the distribution cabinet, and send an alarm message to the Internet platform when the average arc temperature exceeds the warning temperature.

2. The intelligent control method of a power distribution cabinet according to claim 1, characterized in that: In step S100, the magnetic induction intensity of the distribution cabinet is obtained, and the constant magnetic time is obtained according to the magnetic induction intensity, including: obtaining the average magnetic induction intensity of the distribution cabinet in each time interval T through a Hall sensor, the average magnetic induction intensity is the average value of all instantaneous magnetic induction intensities per second in the time interval, wherein the time interval T is set to [0.5, 5] seconds; Mag(Tj) is recorded as the total magnetic induction intensity received by the distribution cabinet in Tj, wherein Tj=[(j-1)*T, j*T], j=1, 2, ..., H, H∈[5, 100]; obtaining the minimum value of each Mag(Tj) is recorded as Mag(Tz), and Tz is recorded as the constant magnetic time, z∈[1, H].

3. The intelligent control method of a power distribution cabinet according to claim 1, characterized in that: In step S200, the steps of obtaining the arc intensity and temperature value of the arc sensor under the constant magnetization time and calculating the warning temperature include: S210, obtaining the arc intensity and temperature value of the arc sensor under the constant magnetic time, and calculating the average magnetic arc intensity; S220, performing temperature offset analysis on the temperature value of the circuit where the arc sensor is located; S230, calculating the arc offset temperature according to the result of the temperature offset analysis, and calculating the warning temperature through the arc offset temperature.

4. The intelligent control method of a power distribution cabinet according to claim 3 is characterized in that: In step S220, performing temperature offset analysis on the temperature value of the circuit where the arc sensor is located specifically includes the following steps: S221, obtaining the temperature value of the circuit where the arc sensor is located; S222, define an integer variable k, set its initial value to 1, and create two variables Tm1 and Tm2, ​​which are initially zero, for subsequent calculation and comparison; S223, performing temperature offset analysis on the temperature value of the line where the arc sensor is located, wherein the temperature offset analysis is as follows: creating two blank sequences Ta and Tb, calculating the values ​​of Tm1 and Tm2, ​​wherein: Tm1 is Tmax(TZ)-TPM(Tz, k), and Tm2 is the absolute value of the difference between TPM(Tz, k+1) and TPM(Tz, k); comparing the values ​​of Tm1 and Tm2: if Tm1 is less than Tm2, ​​then TPM(Tz, k) is added to the sequence Ta, and if Tm1 is greater than or equal to Tm2, ​​then TPM(Tz, k) is added to the sequence Tb; S224, judging whether the temperature offset analysis is completed, the specific judging method is: if the current variable k is less than G, then k is increased by 1, and the process returns to step S223 to continue the temperature offset analysis; if the current variable k is equal to G, then it means that the temperature offset analysis has been processed and completed; S225, obtain the median of the sequence Ta and record it as zjx, obtain the median of the sequence Tb and record it as zgx.

5. The intelligent control method of a power distribution cabinet according to claim 1, characterized in that: In step S300, the real-time average arc temperature of the distribution cabinet is obtained. When the average arc temperature exceeds the warning temperature, an alarm message is sent to the Internet platform, and the distribution cabinet is locked, including: calculating the average temperature value TPv(Tj) of the line where all arc sensors are located in each time period Tj, and then calculating the average value of all TPv(Tj) and recording it as the average arc temperature TPadv. When TPadv exceeds the warning temperature WRTP, the distribution cabinet is locked.

6. An intelligent control system for a power distribution cabinet, characterized in that: The intelligent control system of a distribution cabinet comprises: a processor, a memory, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, the steps in the intelligent control method of a distribution cabinet described in any one of claims 1 to 5 are implemented.

7. A power distribution cabinet, characterized in that: The power distribution cabinet integrates the intelligent control system of the power distribution cabinet in claim 6, and realizes real-time monitoring and control of the operating status of the power distribution cabinet through a processor and a memory.

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