Voltage-stabilized power switch safety monitoring system and method based on Internet of Things

Abstract

The invention discloses a stabilized power supply switch safety monitoring system and method based on the Internet of Things, and belongs to the technical field of power supply switch management. Electrical physical quantity of current in a power supply circuit switch is detected, alarm time is recorded when an alarm occurs, and an operation record of a first power supply phase in a first detection time period before the alarm time is obtained; recording the difference of the electrical physical quantities in the two monitoring time periods as a discrete coefficient, obtaining the load parameters of the electric equipment in the previous detection period and the next detection period, calculating the data fluctuation change of the load parameters, and when the discrete degree of the data of the load parameters is increased, judging the moment when the electric equipment is abnormal. The judgment accuracy is improved through two times of judgment, a strategy for solving the problem of the power supply line is obtained, and the connection mode of the power utilization line is adjusted through the power switch.

Description

Technical Field

[0001] The present invention relates to the technical field of power switch management, and in particular to a voltage-stabilizing power switch safety monitoring system and method based on the Internet of Things. Background Art

[0002] In order to ensure the stable operation of some important electrical equipment, it is necessary to set up a backup power supply for the electrical equipment. When the electrical equipment fails, the power supply of the electrical equipment is switched to reduce the production risk caused by the shutdown of the electrical equipment. Common power backup solutions are mainly divided into hot backup power supply and cold backup power supply. The hot backup power supply is usually implemented as a redundant power supply. When the electrical equipment is running, the hot backup power supply is in operation and is ready to supply power to the electrical equipment at any time. The cold backup power supply is usually turned off when the electrical equipment is running, and the power supply is switched when the electrical equipment fails.

[0003] The time required for power switching through a hot standby power supply is short, but since the hot standby power supply needs to be available at all times, the operation and maintenance requirements are high, and when using the hot standby power supply, additional grid resources need to be occupied; using a cold standby power supply can save grid resources compared to using a hot standby power supply, but more waiting time is required during the power switching process; it is difficult to achieve a balance between hot standby power supply and cold standby power supply in the existing technology. Summary of the invention

[0004] The purpose of the present invention is to provide a voltage-stabilizing power switch safety monitoring system and method based on the Internet of Things to solve the problems raised in the above-mentioned background technology.

[0005] In order to solve the above technical problems, the present invention provides the following technical solution: a voltage-stabilizing power supply switch safety monitoring method based on the Internet of Things.

[0006] Step S100: setting a first power supply phase and a second power supply phase for power supply of the electrical equipment, respectively setting a power supply circuit switch in each power supply phase and the circuit of the electrical equipment, connecting the circuit between the first power supply phase and the second power supply phase through a conversion circuit, and setting a conversion circuit switch in the conversion circuit; Step S200: Acquire historical data of load power of the electrical equipment from the operation record of the electrical equipment; Step S300: when the first power supply phase supplies power to the power-consuming device, the electrical physical quantity of the current in the power supply circuit switch is detected during the power supply process, the alarm time is recorded when an alarm occurs, the operation record of the first power supply phase in the first detection time period before the alarm time is obtained, a unit monitoring time period is set, the difference of the electrical physical quantity in the two monitoring time periods is recorded as a discrete coefficient, and the time when the discrete coefficient changes is recorded as time t1; Step S400: Setting a detection cycle, obtaining load parameters of the electrical equipment in the previous detection cycle and the next detection cycle at time t1, calculating the data fluctuation of the load parameters, and when the discrete degree of the load parameter data increases after time t1, determining whether the electrical equipment is abnormal after time t1; Step S500: acquiring sampling data of the electrical physical quantity of a plurality of first power supply phases, calculating an average value of discrete coefficients, connecting a circuit between a second power supply phase and the electrical device, and calculating an average value of discrete coefficients after connecting the circuit between the second power supply phase and the electrical device; Step S600: Compare the change of the average value of the dispersion coefficient, and adjust the power supply circuit of the electrical equipment in combination with the judgment result in step S300.

[0007] Furthermore, step S300 includes: Step S301: uniformly sampling the electrical physical quantity in the first detection time period, setting a unit monitoring time period, wherein the first detection time period includes a plurality of unit monitoring time periods, and the length of the unit monitoring time period is T0, and respectively collecting the sampling data of the electrical physical quantity in each unit monitoring time period in the first detection time period; Among them, uniform sampling means sampling data at equal time intervals, and adopts a uniform sampling method so that the number of sampled data in each unit monitoring time period is roughly the same; Step S302: Obtain a data set M consisting of sampled data of the electrical physical quantity in the jth unit monitoring time period in the first detection time period j , for M j Remove the free data in the data set M j * ; Since the sampling or sensor is disturbed during the data transmission process, some discrete sampling data will appear in the process of sampling the electrical physical quantity. These discrete sampling data cannot correctly reflect the operating status of the electrical equipment. These discrete data are regarded as free data compared with the operating status data of the electrical equipment. These free data are removed so that the sampling data can better reflect the operating status of the equipment. Step S303: Calculate the data set M j * The average value of α j , obtain a data set M consisting of the sampled data of the electrical physical quantity in the j+1th unit monitoring time period in the first detection time period j+1 , calculate M j With M j+1 The dispersion coefficient dsc f , , where k i represents the sampled data of the i-th electrical physical quantity in the j+1-th unit monitoring time period in the first detection time period, and N represents the number of sampled data in the j+1-th unit monitoring time period in the first detection time period; The average value of the physical quantity in the previous unit monitoring time period is calculated, and then the difference is made with each sampling data in the next unit monitoring time period, and all the differences are accumulated to reflect the difference between the sampling data of the physical quantity in the next unit monitoring time period and the physical quantity data in the previous unit monitoring time period; Step S304: Obtain three consecutive discrete coefficients between any four consecutive unit monitoring time periods, dsc w , dsc w+1 and dsc w+2 , when dsc w+2 -dsc w+1 >dsc w+1 -dsc w When the power supply of the first power supply phase is abnormal, the end time of the second unit monitoring time period in any of the four consecutive unit monitoring time periods is obtained, and recorded as the time t1 when the first power supply phase is abnormal; The coefficient of dispersion indicates the difference between the data in the next unit monitoring time and the data in the previous unit monitoring time. When the dispersion data increases, it means that the stability of the physical quantity sampling data decreases, and the fluctuation range becomes more intense, so the possibility of risk in the first power supply phase increases; Furthermore, step S400 includes: Step S401: setting a detection period of time length T1 to uniformly sample the load power of the electrical device, setting two adjacent detection periods TC1 and TC2, calculating the variance σ1 of the load power sampling data of the electrical device in period TC1, and the variance σ2 of the load power sampling data of the electrical device in period TC2, and when σ2>σ1, judging that the electrical device is abnormal after time t1; Step S402: when σ2≤σ1, calculate the output power Q1 of the electrical equipment in cycle TC1 and the output power Q2 of the electrical equipment in cycle TC2, and when Q2<Q1, determine that the electrical equipment is abnormal after time t1; Step S403: when Q2≥Q1, the average power P2 of the electrical equipment in the TC2 time range is obtained, and the variance values ​​of the load power sampling data of the electrical equipment when the load power is P2 are collected to form a variance reference set R, and the range of all variance values ​​in the variance reference set R is the variance value reference range; The working stability of the electrical equipment is measured. First, the variance of the output power of the electrical equipment is calculated to obtain the stability of the output of the electrical equipment. Then, the total power output before and after time t1 is compared to determine whether the output power of the electrical equipment starts to decrease at time t1. By comparing the above two points, it is determined whether the output of the electrical equipment is affected after time t1 when the data abnormality appears in the first power supply phase; Further, by obtaining the time t1 when the first power supply is abnormal, the states of the electrical equipment before and after the time t1 are compared to determine whether the abnormality of the electrical equipment is caused by a power supply problem or an abnormality of the power supply line caused by the abnormal inversion of the electrical equipment itself; Step S404: when σ2 is not within the reference range of the variance value, it is determined that the electrical equipment is abnormal after time t1.

[0008] Furthermore, step S500 includes: Step S501: starting from time t1, obtaining the sampling data of the electrical physical quantity of the first power supply phase for k1 consecutive unit monitoring time periods, calculating k1-1 discrete coefficients of the sampling data for u1 consecutive unit monitoring time periods, and calculating the average value D1 of the u1-1 discrete coefficients; Step S502: Turn on the circuit switch between the second power supply phase and the power-consuming device, and record the time t2 when the circuit between the second power supply phase and the power-consuming device is turned on; Step S503: Starting from time t2, obtain the sampling data of the electrical physical quantity of the first power supply phase for u1 consecutive unit monitoring time periods, calculate u1-1 discrete coefficients of the sampling data for u1 consecutive unit monitoring time periods, and calculate the average value D2 of the u1-1 discrete coefficients.

[0009] Furthermore, step S600 includes: Step S601: when D2≥D1, and the electrical equipment has an abnormality after time t1, disconnecting the circuit switch between the first power supply phase and the electrical equipment; Step S602: when D2<D1, and the electrical equipment does not have an abnormality after time t1, the conversion circuit switch is turned on, and the circuit switch between the first power supply phase and the electrical equipment is turned off; After the backup power supply is turned on, the first power supply phase is tested again. If the operating data of the first power supply phase tends to be stable, it means that the power grid data is abnormal due to problems with the power-consuming equipment. If the operating data of the first power supply phase is still unstable, it means that there is a problem with the first power supply phase itself and the first power supply phase cannot be used normally. Step S603: When D2≥D1, and the electrical equipment does not have an abnormality after time t1, or when D2<D1, and the electrical equipment has an abnormality after time t1, the relevant equipment management personnel are reminded to check the relevant equipment.

[0010] In order to better implement the above method, a voltage stabilizer switch safety monitoring system based on the Internet of Things is also proposed, the system includes: A circuit management module, a historical data management module, a discrete difference calculation module, an electrical equipment management module, a discrete coefficient average meter module and a switch management module, wherein the circuit management module is used to store and manage the circuit structure, the historical data management module is used to manage the historical data of the load power of the electrical equipment, the discrete difference calculation module is used to calculate the moment when the discrete difference occurs in the first power supply phase, the electrical equipment management module is used to manage the electrical equipment, the discrete coefficient average meter module is used to calculate the average value of the discrete coefficient, and the switch management module is used to control the circuit switch; Further, the discrete difference calculation module includes: a first sampling unit, a data cleaning unit, a discrete coefficient calculation unit and an abnormal time acquisition unit, wherein the first sampling unit is used to sample the electrical physical quantity of the first power supply phase, the data cleaning unit is used to remove free data in the sampled data, the discrete coefficient calculation unit is used to calculate the discrete coefficient, and the abnormal time management unit is used to calculate the time when the first power supply phase is abnormal; Further, the electrical equipment management module includes: a second sampling unit, a variance calculation unit, a work acquisition unit and a first judgment unit, wherein the second sampling unit is used to sample the load power of the electrical equipment, the variance calculation unit is used to calculate the variance of the load power sampling data of the electrical equipment, the work acquisition unit is used to obtain the output work of the electrical equipment, and the first judgment unit is used to judge whether the electrical equipment is abnormal after time t1; Furthermore, the discrete coefficient average calculation module includes: an abnormal moment acquisition unit, a first average value calculation unit, and a second average value calculation unit, wherein the abnormal moment acquisition unit is used to acquire the moment when the abnormality occurs in the first power supply phase, the first average value calculation unit is used to calculate the discrete coefficient average value of the first power supply phase sampling data before the second power supply phase is connected to the power equipment circuit, and the second average value calculation unit is used to calculate the discrete coefficient average value of the first power supply phase sampling data after the second power supply phase is connected to the power equipment circuit; Furthermore, the switch management module includes: a second determination unit, a circuit switch control unit and an information feedback unit, wherein the second determination unit is used to determine the decontrol method of the switch in the circuit, the circuit switch control unit is used to control the switch in the circuit, and the information feedback unit is used to send message reminders to relevant management personnel.

[0011] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: the present invention measures the operating status of the power supply line and the electrical equipment respectively, compares the order in which the abnormalities of the power supply line and the electrical equipment occur, improves the accuracy of the judgment through two judgments, obtains a strategy for dealing with power supply line problems, and adjusts the connection method of the power line through the power switch to deal with different line abnormality problems. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings: Figure 1 This is a schematic diagram of the structure of a voltage-stabilized power switch safety monitoring system based on the Internet of Things in the present invention; Figure 2 It is a schematic diagram of the first part of the process of a voltage-stabilized power switch safety monitoring method based on the Internet of Things in the patent of the present invention; Figure 3 It is a schematic diagram of the second part of the process of a voltage-stabilized power switch safety monitoring method based on the Internet of Things in the patent of the present invention; Figure 4 This is a switch circuit diagram of a voltage-stabilizing power supply switch safety monitoring method based on the Internet of Things in the patent of the present invention. DETAILED DESCRIPTION

[0013] 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.

[0014] See also Figure 1 , Figure 2 , Figure 3 and Figure 4 , the present invention provides a technical solution: Step S100: setting a first power supply phase and a second power supply phase for power supply of the electrical equipment, respectively setting a power supply circuit switch in each power supply phase and the circuit of the electrical equipment, connecting the circuit between the first power supply phase and the second power supply phase through a conversion circuit, and setting a conversion circuit switch in the conversion circuit; Figure 4 Indicates a connection mode of a power switch, wherein EA indicates an electrical device, Power1 indicates a first power supply phase, and Power2 indicates a second power supply phase, wherein the power supply phase includes a power supply source or a power supply line; SW1 represents a circuit switch between the first power supply phase and the power-consuming device, SW2 represents a circuit switch between the second power supply phase and the power-consuming device, and SW3 represents a conversion circuit switch. The circuit switch is connected to the system through the Internet of Things, such as Bluetooth, WiFi, Lora or wired connection; h1, h2, h3 and h4 represent connection nodes in the circuit respectively, the power supply direction of the first power supply phase is h1→h2, and the power supply direction of the second power supply phase is h4→h3; Step S200: Acquire historical data of load power of the electrical equipment from the operation record of the electrical equipment; Step S300: when the first power supply phase supplies power to the power-consuming device, the electrical physical quantity of the current in the power supply circuit switch is detected during the power supply process, the alarm time is recorded when an alarm occurs, the operation record of the first power supply phase in the first detection time period before the alarm time is obtained, a unit monitoring time period is set, the difference of the electrical physical quantity in the two monitoring time periods is recorded as a discrete coefficient, and the time when the discrete coefficient changes is recorded as time t1; Wherein, step S300 includes: Step S301: uniformly sampling the electrical physical quantity in the first detection time period, setting a unit monitoring time period, wherein the first detection time period includes a plurality of unit monitoring time periods, and the length of the unit monitoring time period is T0, and respectively collecting the sampling data of the electrical physical quantity in each unit monitoring time period in the first detection time period; Step S302: Obtain a data set M consisting of sampled data of the electrical physical quantity in the jth unit monitoring time period in the first detection time period j , for M j Remove the free data in the data set M j * ; Methods for removing stray data include: Standard deviation method (Z-score), box plot, DBSCAN clustering, isolation forest algorithm, statistical method or local outlier factor identification method (LOF); Step S303: Calculate the data set M j * The average value of α j , obtain a data set M consisting of the sampled data of the electrical physical quantity in the j+1th unit monitoring time period in the first detection time period j+1 , calculate M j With M j+1 The dispersion coefficient dsc f , , where k irepresents the sampled data of the i-th electrical physical quantity in the j+1-th unit monitoring time period in the first detection time period, and N represents the number of sampled data in the j+1-th unit monitoring time period in the first detection time period; Step S304: Obtain three consecutive discrete coefficients between any four consecutive unit monitoring time periods, dsc w , dsc w+1 and dsc w+2 , when dsc w+2 -dsc w+1 >dsc w+1 -dsc w When the power supply of the first power supply phase is abnormal, the end time of the second unit monitoring time period in any of the four consecutive unit monitoring time periods is obtained, and recorded as the time t1 when the first power supply phase is abnormal; Step S400: Setting a detection cycle, obtaining load parameters of the electrical equipment in the previous detection cycle and the next detection cycle at time t1, calculating the data fluctuation of the load parameters, and when the discrete degree of the load parameter data increases after time t1, determining whether the electrical equipment is abnormal after time t1; Wherein, step S400 includes: Step S401: setting a detection period of time length T1 to uniformly sample the load power of the electrical device, setting two adjacent detection periods TC1 and TC2, calculating the variance σ1 of the load power sampling data of the electrical device in period TC1, and the variance σ2 of the load power sampling data of the electrical device in period TC2, and when σ2>σ1, judging that the electrical device is abnormal after time t1; Step S402: when σ2≤σ1, calculate the output power Q1 of the electrical equipment in cycle TC1 and the output power Q2 of the electrical equipment in cycle TC2, and when Q2<Q1, determine that the electrical equipment is abnormal after time t1; Step S403: when Q2≥Q1, the average power P2 of the electrical equipment in the TC2 time range is obtained, and the variance values ​​of the load power sampling data of the electrical equipment when the load power is P2 are collected to form a variance reference set R, and the range of all variance values ​​in the variance reference set R is the variance value reference range; Step S404: when σ2 is not within the reference range of the variance value, it is determined that the electrical equipment is abnormal after time t1; Step S500: acquiring sampling data of the electrical physical quantity of a plurality of first power supply phases, calculating an average value of discrete coefficients, connecting a circuit between a second power supply phase and the electrical device, and calculating an average value of discrete coefficients after connecting the circuit between the second power supply phase and the electrical device; Wherein, step S500 includes: Step S501: starting from time t1, obtaining the sampling data of the electrical physical quantity of the first power supply phase for k1 consecutive unit monitoring time periods, calculating k1-1 discrete coefficients of the sampling data for u1 consecutive unit monitoring time periods, and calculating the average value D1 of the u1-1 discrete coefficients; Step S502: Turn on the circuit switch between the second power supply phase and the power-consuming device, and record the time t2 when the circuit between the second power supply phase and the power-consuming device is turned on; Step S503: starting from time t2, obtaining the sampling data of the electrical physical quantity of the first power supply phase for a continuous u1 unit monitoring time period, calculating u1-1 discrete coefficients of the sampling data for the continuous u1 unit monitoring time period, and calculating the average value D2 of the u1-1 discrete coefficients; Step S600: comparing the change of the average value of the dispersion coefficient, and adjusting the power supply circuit of the electrical equipment in combination with the judgment result in step S300; Wherein, step S600 includes: Step S601: when D2≥D1, and the electrical equipment has an abnormality after time t1, disconnecting the circuit switch between the first power supply phase and the electrical equipment; Step S602: when D2<D1, and the electrical equipment does not have an abnormality after time t1, the conversion circuit switch is turned on, and the circuit switch between the first power supply phase and the electrical equipment is turned off; Step S603: When D2≥D1, and the electrical equipment does not have an abnormality after time t1, or when D2<D1, and the electrical equipment has an abnormality after time t1, the relevant equipment management personnel are reminded to check the relevant equipment; When D2≥D1, and the electrical equipment has an abnormality after time t1, it means that the electrical equipment is affected by the abnormality of the first power supply phase. At this time, the first power supply phase is unavailable, and the electrical equipment is powered by the second power supply phase. At this time, the Internet of Things system controls SW1 and SW2 to be disconnected and SW2 to be closed; When D2<D1, and the electrical equipment does not show any abnormality after time t1, after connecting to the second power supply phase, the data of the first power supply phase becomes stable, indicating that the load of the electrical equipment itself increases beyond the design index. At this time, the first power supply phase and the second power supply phase are required to jointly supply power to the electrical equipment. In order to solve the circuit operation problem, the two currents are merged. At this time, SW2 and SW3 are controlled to be closed and SW1 is disconnected through the Internet of Things system.

[0015] The system includes: Circuit management module, historical data management module, discrete difference calculation module, electrical equipment management module, discrete coefficient average calculation module and switch management module; Wherein, the circuit management module is used to store and manage the circuit structure; Among them, the historical data management module is used to manage the historical data of the load power of the electrical equipment; The discrete difference calculation module is used to calculate the moment when the discrete difference occurs in the first power supply phase, wherein the discrete difference calculation module includes: a first sampling unit, a data cleaning unit, a discrete coefficient calculation unit and an abnormal moment acquisition unit, wherein the first sampling unit is used to sample the electrical physical quantity of the first power supply phase, the data cleaning unit is used to remove free data in the sampled data, the discrete coefficient calculation unit is used to calculate the discrete coefficient, and the abnormal moment management unit is used to calculate the moment when the abnormality occurs in the first power supply phase; The power equipment management module is used to manage the power equipment, and the power equipment management module includes: a second sampling unit, a variance calculation unit, a work acquisition unit and a first judgment unit, wherein the second sampling unit is used to sample the load power of the power equipment, the variance calculation unit is used to calculate the variance of the load power sampling data of the power equipment, the work acquisition unit is used to obtain the output work of the power equipment, and the first judgment unit is used to judge whether the power equipment is abnormal after time t1; The discrete coefficient average calculation module is used to calculate the average value of the discrete coefficient, wherein the discrete coefficient average calculation module includes: an abnormal moment acquisition unit, a first average value calculation unit and a second average value calculation unit, wherein the abnormal moment acquisition unit is used to obtain the moment when the first power supply phase is abnormal, the first average value calculation unit is used to calculate the discrete coefficient average value of the first power supply phase sampling data before the second power supply phase is connected to the power equipment circuit, and the second average value calculation unit is used to calculate the discrete coefficient average value of the first power supply phase sampling data after the second power supply phase is connected to the power equipment circuit; Among them, the switch management module is used to control the circuit switch, and the switch management module includes: a second determination unit, a circuit switch control unit and an information feedback unit, wherein the second determination unit is used to determine the control method of the switch in the circuit, the circuit switch control unit is used to control the switch in the circuit, and the information feedback unit is used to send message reminders to relevant management personnel.

[0016] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0017] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A voltage-stabilized power switch safety monitoring method based on the Internet of Things, characterized in that: The method comprises the following steps: Step S100: setting a first power supply phase and a second power supply phase for power supply of the electrical equipment, respectively setting a power supply circuit switch in each power supply phase and the circuit of the electrical equipment, connecting the circuit between the first power supply phase and the second power supply phase through a conversion circuit, and setting a conversion circuit switch in the conversion circuit; Step S200: Acquire historical data of load power of the electrical equipment from the operation record of the electrical equipment; Step S300: when the first power supply phase supplies power to the power-consuming device, the electrical physical quantity of the current in the power supply circuit switch is detected during the power supply process, the alarm time is recorded when an alarm occurs, the operation record of the first power supply phase in the first detection time period before the alarm time is obtained, a unit monitoring time period is set, the difference of the electrical physical quantity in the two monitoring time periods is recorded as a discrete coefficient, and the time when the discrete coefficient changes is recorded as time t1; Step S400: Setting a detection cycle, obtaining load parameters of the electrical equipment in the previous detection cycle and the next detection cycle at time t1, calculating the data fluctuation of the load parameters, and when the discrete degree of the load parameter data increases after time t1, determining whether the electrical equipment is abnormal after time t1; Step S500: acquiring sampling data of the electrical physical quantity of a plurality of first power supply phases, calculating an average value of discrete coefficients, connecting a circuit between a second power supply phase and the electrical device, and calculating an average value of discrete coefficients after connecting the circuit between the second power supply phase and the electrical device; Step S600: Compare the change of the average value of the dispersion coefficient, and adjust the power supply circuit of the electrical equipment in combination with the judgment result in step S300.

2. The method for safety monitoring of a voltage-stabilized power supply switch based on the Internet of Things according to claim 1 is characterized in that: Step S300 includes: Step S301: uniformly sampling the electrical physical quantity in the first detection time period, setting a unit monitoring time period, wherein the first detection time period includes a plurality of unit monitoring time periods, and the length of the unit monitoring time period is T0, and respectively collecting the sampling data of the electrical physical quantity in each unit monitoring time period in the first detection time period; Step S302: Obtain a data set M consisting of sampled data of the electrical physical quantity in the jth unit monitoring time period in the first detection time period j , for M j Remove the free data in the data set M j * ; Step S303: Calculate the data set M j * The average value of α j , obtain a data set M consisting of the sampled data of the electrical physical quantity in the j+1th unit monitoring time period in the first detection time period j+1 , calculate M j With M j+1 The dispersion coefficient dsc f , , where k i represents the sampled data of the i-th electrical physical quantity in the j+1-th unit monitoring time period in the first detection time period, and N represents the number of sampled data in the j+1-th unit monitoring time period in the first detection time period; Step S304: Obtain three consecutive discrete coefficients between any four consecutive unit monitoring time periods, dsc w , dsc w+1 and dsc w+2 , when dsc w+2 -dsc w+1 >dsc w+1 -dsc w When it is determined that the power supply of the first power supply phase is abnormal, the end time of the second unit monitoring time period in any of the four consecutive unit monitoring time periods is obtained, and recorded as the time t1 when the first power supply phase is abnormal.

3. The method for safety monitoring of a voltage-stabilized power supply switch based on the Internet of Things according to claim 2 is characterized in that: Step S400 includes: Step S401: setting a detection period of time length T1 to uniformly sample the load power of the electrical device, setting two adjacent detection periods TC1 and TC2, calculating the variance σ1 of the load power sampling data of the electrical device in period TC1, and the variance σ2 of the load power sampling data of the electrical device in period TC2, and when σ2>σ1, judging that the electrical device is abnormal after time t1; Step S402: when σ2≤σ1, calculate the output power Q1 of the electrical equipment in cycle TC1 and the output power Q2 of the electrical equipment in cycle TC2, and when Q2<Q1, determine that the electrical equipment is abnormal after time t1; Step S403: when Q2≥Q1, the average power P2 of the electrical equipment in the TC2 time range is obtained, and the variance values ​​of the load power sampling data of the electrical equipment when the load power is P2 are collected to form a variance reference set R, and the range of all variance values ​​in the variance reference set R is the variance value reference range; Step S404: when σ2 is not within the reference range of the variance value, it is determined that the electrical equipment is abnormal after time t1.

4. The method for safety monitoring of a voltage-stabilized power supply switch based on the Internet of Things according to claim 3 is characterized in that: Step S500 includes: Step S501: starting from time t1, obtaining the sampling data of the electrical physical quantity of the first power supply phase for k1 consecutive unit monitoring time periods, calculating k1-1 discrete coefficients of the sampling data for u1 consecutive unit monitoring time periods, and calculating the average value D1 of the u1-1 discrete coefficients; Step S502: Turn on the circuit switch between the second power supply phase and the power-consuming device, and record the time t2 when the circuit between the second power supply phase and the power-consuming device is turned on; Step S503: Starting from time t2, obtain the sampling data of the electrical physical quantity of the first power supply phase for u1 consecutive unit monitoring time periods, calculate u1-1 discrete coefficients of the sampling data for u1 consecutive unit monitoring time periods, and calculate the average value D2 of the u1-1 discrete coefficients.

5. The method for safety monitoring of a voltage-stabilized power supply switch based on the Internet of Things according to claim 1 is characterized in that: Step S600 includes: Step S601: when D2≥D1, and the electrical equipment has an abnormality after time t1, disconnecting the circuit switch between the first power supply phase and the electrical equipment; Step S602: when D2<D1, and the electrical equipment does not have an abnormality after time t1, the conversion circuit switch is turned on, and the circuit switch between the first power supply phase and the electrical equipment is turned off; Step S603: When D2≥D1, and the electrical equipment does not have an abnormality after time t1, or when D2<D1, and the electrical equipment has an abnormality after time t1, the relevant equipment management personnel are reminded to check the relevant equipment.

6. A voltage stabilizer switch safety monitoring system for the voltage stabilizer switch safety monitoring method based on the Internet of Things as claimed in any one of claims 1 to 5, characterized in that: The system includes the following modules: a circuit management module, a historical data management module, a discrete difference calculation module, an electrical equipment management module, a discrete coefficient average meter module and a switch management module, wherein the circuit management module is used to store and manage the circuit structure, the historical data management module is used to manage the historical data of the load power of the electrical equipment, the discrete difference calculation module is used to calculate the moment when a discrete difference occurs in the first power supply phase, the electrical equipment management module is used to manage the electrical equipment, the discrete coefficient average meter module is used to calculate the average value of the discrete coefficient, and the switch management module is used to control the circuit switch.

7. The voltage-stabilized power switch safety monitoring system according to claim 6, characterized in that: The discrete difference calculation module includes: a first sampling unit, a data cleaning unit, a discrete coefficient calculation unit and an abnormal time acquisition unit, wherein the first sampling unit is used to sample the electrical physical quantity of the first power supply phase, the data cleaning unit is used to remove free data in the sampled data, the discrete coefficient calculation unit is used to calculate the discrete coefficient, and the abnormal time management unit is used to calculate the time when the abnormality occurs in the first power supply phase.

8. The voltage-stabilized power switch safety monitoring system according to claim 7, characterized in that: The electrical equipment management module includes: a second sampling unit, a variance calculation unit, a work acquisition unit and a first judgment unit, wherein the second sampling unit is used to sample the load power of the electrical equipment, the variance calculation unit is used to calculate the variance of the load power sampling data of the electrical equipment, the work acquisition unit is used to obtain the output work of the electrical equipment, and the first judgment unit is used to judge whether the electrical equipment has an abnormality after time t1.

9. The voltage-stabilized power switch safety monitoring system according to claim 8, characterized in that: The discrete coefficient average calculation module includes: an abnormal time acquisition unit, a first average calculation unit and a second average calculation unit, wherein the abnormal time acquisition unit is used to obtain the time when the abnormality occurs in the first power supply phase, the first average calculation unit is used to calculate the discrete coefficient average of the first power supply phase sampling data before the second power supply phase is connected to the circuit of the electrical equipment, and the second average calculation unit is used to calculate the discrete coefficient average of the first power supply phase sampling data after the second power supply phase is connected to the circuit of the electrical equipment.

10. The voltage-stabilized power switch safety monitoring system according to claim 9, characterized in that: The switch management module includes: a second determination unit, a circuit switch control unit and an information feedback unit, wherein the second determination unit is used to determine the release control method of the switch in the circuit, the circuit switch control unit is used to control the switch in the circuit, and the information feedback unit is used to send message reminders to relevant management personnel.

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