Intelligent power supply control method and system based on Internet of Things

Abstract

The present invention discloses an intelligent power supply control method and system based on the Internet of Things. The present invention relates to the field of intelligent power supply technology and solves the problem that the original power supply method is not sufficiently targeted and cannot achieve a better power supply control method. The present invention targets at the situation where overload may occur, identifies two associated branches from a number of branches, which have not only a large time interval but also a synchronous closing of a certain branch, so that the intelligent power supply is not in an overload state. The operating state of such associated branches is monitored in real time, and the power supply mode is determined based on the specific real-time monitoring results, so as to achieve targeted monitoring and intelligent control, without the need to perform relevant monitoring and control on each branch, and can quickly and effectively make the intelligent power supply quickly change to a normal state, so as to achieve a better power supply control processing effect.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent power supply, and in particular to an intelligent power supply control method and system based on the Internet of Things. Background Art

[0002] With the development of Internet of Things technology, intelligent devices have been widely used in daily life, such as smart home systems, smart monitoring systems, etc. These devices usually need to be connected and communicated through the network to achieve remote control and data transmission. However, the power supply problem of these devices has always been a challenge. Traditional power supply methods often cannot meet the power supply needs of these devices, and the wiring is complicated and difficult to maintain.

[0003] The application with publication number CN114759656A discloses an intelligent control system and method for an onboard multi-power supply system, including multiple working power supplies; a power monitoring module, which is used to obtain the power supply working data of each working power supply; a power control module, which is used to determine the power protection signal and power switching control signal about each working power supply according to the power supply working data; a power protection module, which is used to control the working state of the temperature protection circuit, short circuit protection circuit and power protection circuit of each working power supply according to the power protection signal; and a power switching module, which is used to control the working state of the switching switch of each working power supply according to the power switching control signal. The beneficial effects of the present invention are: intelligent control automatically switches and has a fast response speed, avoiding the need for manual confirmation to switch the power supply and causing power outage for a period of time.

[0004] When controlling the intelligent power supply of the Internet of Things, the intelligent power supply is powered in real time based on the specific power demand of the corresponding intelligent power supply branch. However, due to the simultaneous operation of a large number of devices, the intelligent power supply is often overloaded. In order to solve this overload situation, the intelligent power supply proportionally reduces the output power of each branch. However, this method, due to its wide coverage, will cause multiple devices used simultaneously to experience power shortages. It is not targeted enough and cannot achieve a better power supply control method to ensure that the power supply control of the intelligent power supply is targeted enough. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides an intelligent power supply control method and system based on the Internet of Things, which solves the problem that the original power supply method is not sufficiently targeted and cannot achieve a better power supply control method.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: an intelligent power supply control method based on the Internet of Things, comprising the following steps:

[0007] Step 1: Monitor the parameters of the branches interconnected by the intelligent power supply and control the power supply in real time. By limiting the monitoring period, analyze the power usage of different branches within the specified monitoring period and determine the customary power range of different branches. The specific method is as follows:

[0008] S11. Define a set of monitoring periods T, where T is a preset value, and calibrate the real-time power usage of each different branch within the monitoring period T as XX. i , where i represents different moments. During this monitoring period T, the power supply control mode adopted by the power supply is the originally set power supply control mode:

[0009] When the total power consumption generated by several different branches exceeds the preset value, an abnormal power supply signal is generated and displayed, and the relevant operator intervenes to handle it. The preset value is the preset relevant standard value;

[0010] When the total power usage generated by several different branches does not exceed the preset value, power transmission is carried out normally;

[0011] S12, sorting the power usage of each different branch monitored in the monitoring period T according to the time sequence, generating a power usage sequence of the corresponding branch, and processing and analyzing the power usage sequence of each different branch to determine the habitual power range of the corresponding branch, the determination method is:

[0012] S121, randomly determine the front row power or the rear row power from the used power sequence, and the front row power or the rear row power are both power parameters within the used power sequence, and the front row power is located before the rear row power, record the power set included between the front row power and the rear row power in each random determination process, this power set includes the front row power and the rear row power, perform variance processing on each different power set and determine the variance value F k , where k represents different random determination processes, if F k ≤Y1, the corresponding power set is calibrated as the standard set. If F k >Y1, no calibration is performed;

[0013] S122, selecting a standard set with a minimum variance value from the plurality of standard sets as a selected set, determining a minimum power usage value and a maximum power usage value from the plurality of power usage groups included in the selected set, thereby locking a customary power interval of the corresponding branch, and sequentially determining the customary power interval of each branch one by one in the same manner;

[0014] Step 2: Based on the customary power range of each different branch and the maximum output power of the intelligent power supply, identify whether the intelligent power supply is overloaded when each branch is running at the maximum value of the corresponding customary power range. If there is an overload, lock the synchronous control branch. If there is no overload, do not process it. The specific sub-steps are:

[0015] S21, determine the maximum power value G of the customary power interval of each different branch q max, where q represents different branches, and several groups of maximum power values ​​G q max is summed to determine the total value ZH, and the maximum output power of this intelligent power supply is calibrated as GS:

[0016] If ZH>GS, then execute step S22 to lock the synchronous control branch, if ZH≤GS, then monitor and control normally, and the control mode is the originally set power supply control mode;

[0017] S22, identifying the time periods in which different branches use electricity within the monitoring period T, cross-processing several groups of time periods in the same branch, and determining the standard time period, specifically in the following manner:

[0018] S221, the time period is a 24-hour system, and the time period with time overlap is marked as a similar overlapping time period set. If the similar overlapping time period set still overlaps with other time periods, then such time period is synchronously divided into the similar overlapping time period set;

[0019] S222, after the cross processing analysis, determine the total number Go of time periods associated in the same cross time period set, where o represents different same cross time period sets, select the same cross time period set corresponding to Gomax from the several same cross time period sets determined by this branch and use it as the selected time period set, and determine the standard time period of this branch based on the time range associated with several time periods in this selected time period set;

[0020] S23, defining two groups of roads with a time interval of B1 during the standard period as associated roads, and marking them as associated roads, wherein B1 is a preset value;

[0021] S24. From the calibrated associated branches with the same associated mark, preferentially determine the two groups of associated branches with the largest time interval among the groups of associated branches, identify the maximum power values ​​G1max and G2max of the customary power intervals of the two groups of associated branches, wherein G1max represents the maximum power value of any associated branch in the two groups of associated branches, and G2max represents the maximum power value of the other associated branch in the two groups of associated branches. If (ZH-G1max)≤GS or (ZH-G2max)≤GS, the two groups of associated branches are calibrated as synchronous control branches. If (ZH-G1max)>GS and (ZH-G2max)>GS, other associated branches are selected for analysis until the synchronous control branch is determined. If the synchronous control branch has not been determined, a determination error signal is directly generated for display.

[0022] Step 3: Based on the determined synchronous control branch, monitor whether the synchronous control branch is in a power use state in the subsequent period, and based on the monitoring result, perform associated control on the power supply of the intelligent power supply; the specific sub-steps are:

[0023] S31, when one synchronous control branch is in a power use state, the other synchronous control branch is synchronously in a power use state, the power used by the corresponding two groups of synchronous control branches is monitored in real time, and the real-time output power SC of the intelligent power supply is synchronously monitored;

[0024] S32, if SC>Y2, where Y2 is a preset value, the output power of the two groups of synchronous control branches is reduced proportionally until SC≤Y2;

[0025] If SC≤Y2, the real-time output power of the intelligent power supply is monitored normally.

[0026] Preferably, the intelligent power supply control system based on the Internet of Things includes:

[0027] The branch power confirmation unit monitors the parameters of the branch branches interconnected by the intelligent power supply and controls the power supply in real time. By limiting the monitoring period, the power usage of different branches within the specified monitoring period is analyzed to determine the customary power range of different branches;

[0028] The intelligent power supply overload analysis unit identifies whether the intelligent power supply is overloaded when each branch is running at the maximum value of the corresponding customary power range based on the customary power range of each different branch and the maximum output power of the intelligent power supply. If there is an overload, the synchronous control branch is locked. If there is no overload, no processing is performed;

[0029] The associated control unit monitors whether the synchronous control branch is synchronously in the power use state in the subsequent period based on the determined synchronous control branch, and performs associated control on the power supply of the intelligent power supply based on the monitoring result.

[0030] The present invention provides an intelligent power supply control method and system based on the Internet of Things. Compared with the prior art, it has the following beneficial effects:

[0031] The present invention monitors the relevant power usage of the branch controlled by the intelligent power supply, and locks the power range of the corresponding branch based on the specific monitoring value. Subsequently, through the power range of each branch determined, the intelligent power supply is analyzed to determine whether it is in an overload state, and the subsequent power supply mode is determined based on the specific numerical analysis results.

[0032] In case of possible overload, two associated branches with large time intervals are identified from several branches. When a branch is closed synchronously, the intelligent power supply will not be in an overloaded state. The operating status of such associated branches is monitored in real time, and the power supply mode is determined based on the specific real-time monitoring results. Targeted monitoring and intelligent control can be achieved without the need to perform relevant monitoring and control on each branch. The intelligent power supply can be quickly and effectively transferred to a normal state, thereby achieving a better power supply control processing effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 It is a schematic diagram of the process of the present invention;

[0034] Figure 2 It is the network cable wiring diagram of the power supply system of the present invention;

[0035] Figure 3 This is the optimized design diagram of the network antenna of the present invention. DETAILED DESCRIPTION

[0036] 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.

[0037] Example 1

[0038] See also Figure 1 , the present application provides an intelligent power supply control method based on the Internet of Things, comprising the following steps:

[0039] Step 1: Monitor the parameters of the interconnected branches of the intelligent power supply and control the power supply in real time. By limiting the monitoring period, analyze the power usage of different branches within the specified monitoring period (different branches correspond to different users, and each group of interconnected users uses a group of branches for power transmission), and determine the customary power range of different branches. The specific sub-steps for determination are:

[0040] S11. Define a set of monitoring periods T, where T is a preset value, which is prepared in advance by the relevant operator based on experience, and calibrate the real-time power usage of each different branch within this monitoring period T as XX i , where i represents different moments. During this monitoring period T, the power supply control mode adopted by the power supply is the originally set power supply control mode:

[0041] When the total power usage generated by several different branches exceeds the preset value, an abnormal power supply signal is generated and the relevant operator intervenes to handle it. The preset value is a preset relevant standard value, which is prepared by the operator in advance based on experience. It is generally lower than the maximum power value of the corresponding power supply, but the difference will not be too large;

[0042] When the total power usage generated by several different branches does not exceed the preset value, power transmission is carried out normally;

[0043] S12, sorting the power usage of each different branch monitored in the monitoring period T according to the time sequence, generating a power usage sequence of the corresponding branch, and processing and analyzing the power usage sequence of each different branch to determine the habitual power range of the corresponding branch, and the specific determination method is:

[0044] S121, randomly determine the front row power or the rear row power from the used power sequence, and the front row power or the rear row power are both power parameters within the used power sequence, and the front row power is located before the rear row power, record the power set included between the front row power and the rear row power in each random determination process, this power set includes the front row power and the rear row power, perform variance processing on each different power set and determine the variance value F k , where k represents different random determination processes, if F k ≤Y1, the corresponding power set is calibrated as the standard set. If F k >Y1, no calibration is performed;

[0045] S122, selecting a standard set with a minimum variance value from the plurality of standard sets as a selected set, determining a minimum power usage value and a maximum power usage value from the plurality of power usage groups included in the selected set, thereby locking a customary power interval of the corresponding branch, and sequentially determining the customary power interval of each branch one by one in the same manner;

[0046] Example: An intelligent power system is connected to multiple branches, and the power usage sequence of each branch is as follows:

[0047] Branch 1: Use the power sequence of [100W, 120W, 130W, 150W, 180W].

[0048] S121 step example:

[0049] Random determination process 1: Randomly determine the front row power to be 120W and the rear row power to be 150W (can also be 180W or 130W). The power set included in this process is [120W, 130W, 150W]. Calculate the variance value F1 of this set. Assume that Y1 is a specific value, such as 20. If F1≤20, then this power set is calibrated as the standard set; if F1>20, no calibration is performed.

[0050] Random determination process 2: Randomly determine the front row power to be 100W and the rear row power to be 180W (it can also be any value among 120W, 130W, 150W, 180W). The power set included is [100W, 120W, 130W, 150W, 180W]. Calculate the variance value F2, and then decide whether to calibrate it as the standard set based on the relationship between F2 and Y1.

[0051] S122 step example:

[0052] Assume that after multiple random determination processes, several standard sets are obtained, such as standard set A = [110W, 120W, 130W], standard set B = [140W, 150W, 160W], etc.

[0053] Compare the variance values ​​of these standard sets and find the standard set with the smallest variance value. Assuming that the variance value of standard set A is the smallest, the selected set is A.

[0054] From the selected set A, it is determined that the minimum power usage is 110W and the maximum power usage is 130W, thereby locking the customary power range of the corresponding branch as [110W, 130W].

[0055] Then, the customary power ranges of other branches are determined one by one in the same way;

[0056] Step 2: Based on the customary power range of each different branch and the maximum output power of the intelligent power supply, identify whether the intelligent power supply is overloaded when each branch is running at the maximum value of the corresponding customary power range. If there is an overload, lock the synchronous control branch. If there is no overload, do not process it. The specific sub-steps of identifying whether the intelligent power supply is overloaded are:

[0057] S21, determine the maximum power value G of the customary power interval of each different branch q max, where q represents different branches, and several groups of maximum power values ​​G q max is summed to determine the total value ZH, and the maximum output power of this intelligent power supply is calibrated as GS:

[0058] If ZH>GS, then execute step S22 to lock the synchronous control branch, if ZH≤GS, then monitor and control normally, and the control mode is the originally set power supply control mode;

[0059] S22, identifying the time periods when different branches have power usage within the monitoring period T (when power is used, the intelligent power supply will automatically record the time periods used), cross-processing several groups of time periods used for the same branch, and determining the standard time period:

[0060] S221, the time period is a 24-hour system, and the time period with time intersection is marked as a similar intersection time period set. If the similar intersection time period set still intersects with other time periods, then such time period is simultaneously divided into the similar intersection time period set (for example: A intersects with B, and B intersects with C, then A, B and C are all divided into similar intersection time periods);

[0061] S222, after the cross processing analysis, determine the total number Go of time periods associated in the same cross time period set, where o represents different same cross time period sets, select the same cross time period set corresponding to Gomax from the several same cross time period sets determined by the branch and use it as the selected time period set, and determine the standard time period of the branch based on the time range associated with several time periods in the selected time period set (that is, the overall time range covered by the selected time period is the determined standard time period);

[0062] S23, mark the two groups of routes whose time interval reaches B1 during the standard period as associated routes, and mark them as associated routes, wherein B1 is a preset value, which is determined by relevant operators based on experience, and is generally 12h, 8h, and the minimum value is 6h;

[0063] S24. From the calibrated associated branches with the same associated mark, preferentially determine the two groups of associated branches with the largest time interval among the groups of associated branches, identify the maximum power values ​​G1max and G2max of the customary power intervals of the two groups of associated branches, wherein G1max represents the maximum power value of any associated branch in the two groups of associated branches, and G2max represents the maximum power value of the other associated branch in the two groups of associated branches. If (ZH-G1max)≤GS or (ZH-G2max)≤GS, the two groups of associated branches are calibrated as synchronous control branches. If (ZH-G1max)>GS and (ZH-G2max)>GS, other associated branches are selected for analysis until the synchronous control branch is determined. If the synchronous control branch has not been determined, a determination error signal is directly generated for display for external personnel to view. Based on such error signals, external personnel can perform association calibration on the synchronous control branch based on the maximum power value of each branch.

[0064] Specifically, in the actual processing process, when all branches are running synchronously and the power used is large, the situation of ZH>GS will appear, that is, the power supply overload situation. In order to effectively avoid such power supply overload situation, by analyzing the usage period of each different classification, two branches with very different usage habits are associated, and then by eliminating a group of branches, it is evaluated whether the relevant evaluation method meets the standard;

[0065] If the standard is met, it means that as long as the two groups of branches determined here do not run at the same time, there will be no power overload. In the subsequent power supply control process, it is only necessary to monitor in real time whether the two groups of branches are running synchronously. If they are running synchronously, timely control is required to ensure that the intelligent power supply is not overloaded and can provide normal power supply.

[0066] Step 3: Based on the determined synchronous control branch, monitor whether the synchronous control branch is in a power use state in the subsequent period, and based on the monitoring result, perform associated control on the power supply of the smart power supply to ensure that the smart power supply can supply power normally, wherein the specific sub-steps of performing associated control are:

[0067] S31, when one synchronous control branch is in a power use state, the other synchronous control branch is synchronously in a power use state, the power used by the corresponding two groups of synchronous control branches is monitored in real time, and the real-time output power SC of the intelligent power supply is synchronously monitored;

[0068] S32, if SC>Y2, where Y2 is a preset value, and its specific value is determined by the operator based on experience, the output power of the two groups of synchronous control branches is proportionally reduced until SC≤Y2 (that is, when the output power of one group of control branches is reduced by 1, the output power of the other group of control branches is also reduced by 1);

[0069] If SC≤Y2, the real-time output power of the intelligent power supply is monitored normally.

[0070] Example 2

[0071] Intelligent power supply control system based on the Internet of Things, including:

[0072] The branch power confirmation unit monitors the parameters of the branch branches interconnected by the intelligent power supply and controls the power supply in real time. By limiting the monitoring period, the power usage of different branches within the specified monitoring period is analyzed to determine the customary power range of different branches;

[0073] The intelligent power supply overload analysis unit identifies whether the intelligent power supply is overloaded when each branch is running at the maximum value of the corresponding customary power range based on the customary power range of each different branch and the maximum output power of the intelligent power supply. If there is an overload, the synchronous control branch is locked. If there is no overload, no processing is performed;

[0074] The associated control unit monitors whether the synchronous control branch is synchronously in the power use state in the subsequent period based on the determined synchronous control branch, and performs associated control on the power supply of the intelligent power supply based on the monitoring result.

[0075] Example 3

[0076] Among them, the intelligent power supply system based on the Internet of Things, combined with Figure 2 , using IEEE 802.3at / af standard Ethernet Power (POE) technology, data and power are transmitted simultaneously through the network cable, achieving stable and compatible power supply for various network devices, with internal integrated four-channel (port 1, port 2, port 3, port 4) N-MOSFET load, single-channel power supply, power can be up to 30W, and has detection, classification, current limiting and load disconnection detection functions. This technical means can effectively solve the problems of complex wiring and difficult maintenance caused by traditional power supply methods;

[0077] Combination Figure 3, using high-gain, wide-coverage wireless network modules, using 2x2 MIMO architecture 2T2R high-speed, low-power dual-band dual antennas (ANT1, ANT2), transmission rate up to 300Mbps, free configuration of antenna type, multi-channel wireless signal transmission and reception, compatible with IEEE802.11b / g / n transmission standards. By optimizing antenna design and RF circuit parameters, full coverage of wireless network signals is achieved in environments with densely distributed devices or many obstacles, ensuring smooth communication of devices in every corner;

[0078] The compact and modular device shell is designed with galvanized steel plate, with a size of 194mm*90mm*26.1mm. The upper cover of the shell is pasted with heat dissipation silicone and connected to the main control chip. The lower cover of the shell has holes arranged around the power device. Through reasonable structural layout and material selection, the heat dissipation requirements are met, the stability of the equipment is ensured, the size of the equipment can be reduced, and the installation convenience can be improved. At the same time, this design can also effectively prevent electromagnetic interference and improve the reliability of the equipment;

[0079] Adopt intelligent power management technology, monitor the power status of the equipment in real time, automatically adjust the power supply strategy, ensure the power demand of the equipment under different working conditions, and improve the working efficiency and service life of the equipment;

[0080] Adopt intelligent network management system to realize unified management and optimized configuration of all network devices through centralized control and scheduling, thus improving network operation efficiency and reliability;

[0081] POE power supply is stable and compatible: POE power supply can provide stable power supply to meet the power supply needs of various devices, solving the problem that traditional power supply cannot meet the power supply needs of smart devices. At the same time, this POE power supply has good compatibility and can perfectly match third-party gateways and AP panels, avoiding equipment failures and data transmission interruptions caused by incompatible power supply.

[0082] Wide coverage of wireless network signals: By optimizing the RF circuit design, the number and density of wireless access points have been increased, effectively expanding the coverage of wireless signals, so that all devices that need to be connected in the use scenario can communicate smoothly, realize the connection of things, and synchronize data in a timely manner. This advantage is especially in places where devices are densely distributed or there are many obstacles, solving the problem of insufficient signal coverage in existing wireless network designs.

[0083] Reasonable shell design, easy installation: The equipment heat dissipation design is reasonable, which can not only ensure the stability of the equipment, but also reduce the size of the equipment as much as possible, making it easy to install and use. This design not only improves the convenience of equipment use, but also reduces the difficulty of equipment installation. Compared with the existing equipment shell design, it has higher practicality and ease of use.

[0084] Some of the data in the above formulas are dimensionless and numerically calculated. Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0085] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. An intelligent power supply control method based on the Internet of Things, characterized in that: The following steps are involved: Step 1: Monitor the parameters of the branches interconnected by the intelligent power supply and control the power supply in real time. By limiting the monitoring period, analyze the power usage of different branches within the specified monitoring period and determine the customary power range of different branches. The specific method is as follows: S11. Define a set of monitoring periods T, where T is a preset value, and calibrate the real-time power usage of each different branch within the monitoring period T as XX. i , where i represents different moments. During this monitoring period T, the power supply control mode adopted by the power supply is the originally set power supply control mode: When the total power consumption generated by several different branches exceeds the preset value, an abnormal power supply signal is generated and displayed, and the relevant operator intervenes to handle it. The preset value is the preset relevant standard value; When the total power usage generated by several different branches does not exceed the preset value, power transmission is carried out normally; S12, sorting the power usage of each different branch monitored in the monitoring period T according to the time sequence, generating a power usage sequence of the corresponding branch, and processing and analyzing the power usage sequence of each different branch to determine the habitual power range of the corresponding branch; the specific determination method is: S121, randomly determine the front row power or the rear row power from the used power sequence, and the front row power or the rear row power are both power parameters within the used power sequence, and the front row power is located before the rear row power, record the power set included between the front row power and the rear row power in each random determination process, this power set includes the front row power and the rear row power, perform variance processing on each different power set and determine the variance value F k , where k represents different random determination processes, if F k ≤Y1, the corresponding power set is calibrated as the standard set. If F k >Y1, no calibration is performed; S122, selecting a standard set with a minimum variance value from the plurality of standard sets as a selected set, determining a minimum power usage value and a maximum power usage value from the plurality of power usage groups included in the selected set, thereby locking a customary power interval of the corresponding branch, and sequentially determining the customary power interval of each branch one by one in the same manner; Step 2: Based on the customary power range of each different branch and the maximum output power of the intelligent power supply, identify whether the intelligent power supply is overloaded when each branch is running at the maximum value of the corresponding customary power range. If there is an overload, lock the synchronous control branch; if there is no overload, do not process it; Step 3: Based on the determined synchronous control branch, monitor whether the synchronous control branch is in a power use state in a subsequent period, and based on the monitoring result, perform associated control on the power supply of the intelligent power supply.

2. The method for controlling power supply of an intelligent power supply based on the Internet of Things according to claim 1, characterized in that: In step 2, the specific sub-steps of identifying whether the intelligent power supply is overloaded are: S21, determine the maximum power value G of the customary power interval of each different branch q max, where q represents different branches, and several groups of maximum power values ​​G q max is summed to determine the total value ZH, and the maximum output power of this intelligent power supply is calibrated as GS: If ZH>GS, then execute step S22 to lock the synchronous control branch, if ZH≤GS, then monitor and control normally, and the control mode is the power supply control mode originally set; S22, identifying time periods in which different branches use electricity within the monitoring period T, cross-processing several groups of time periods for the same branch, and determining a standard time period; S23, marking two groups of roads with a time interval of B1 during the standard period as associated roads, and marking them as associated roads, wherein B1 is a preset value; S24. From the calibrated associated branches with the same associated marks, preferentially determine the two groups of associated branches with the largest time interval among the multiple groups of associated branches, identify the maximum power values ​​G1max and G2max of the customary power intervals of the two groups of associated branches, where G1max represents the maximum power value of any of the two groups of associated branches, and G2max represents the maximum power value of the other of the two groups of associated branches. If (ZH-G1max) ≤ GS or (ZH-G2max) ≤ GS, the two groups of associated branches are calibrated as synchronous control branches. If (ZH-G1max) > GS and (ZH-G2max) > GS, other associated branches are selected for analysis until the synchronous control branch is determined. If the synchronous control branch has not been determined, a determination error signal is directly generated for display.

3. The method for controlling the power supply of an intelligent power supply based on the Internet of Things according to claim 2 is characterized in that: In step S22, the specific method of determining the standard time period is: S221, the time period is a 24-hour system, and the time period with time overlap is marked as a similar overlapping time period set. If the similar overlapping time period set still overlaps with other time periods, then such time period is synchronously divided into the similar overlapping time period set; S222. After the cross-processing analysis, determine the total number Go of time periods associated in the same cross-time period set, where o represents different same cross-time period sets. From the several same cross-time period sets determined by this branch, select the same cross-time period set corresponding to Gomax and use it as the selected time period set. Determine the standard time period of this branch based on the time range associated with several time periods in this selected time period set.

4. The method for controlling the power supply of an intelligent power supply based on the Internet of Things according to claim 1, characterized in that: In step 3, the specific sub-steps of performing associated control on the power supply of the intelligent power supply are: S31, when one synchronous control branch is in a power use state, the other synchronous control branch is synchronously in a power use state, the power used by the corresponding two groups of synchronous control branches is monitored in real time, and the real-time output power SC of the intelligent power supply is synchronously monitored; S32, if SC>Y2, where Y2 is a preset value, the output power of the two groups of synchronous control branches is reduced proportionally until SC≤Y2; If SC≤Y2, the real-time output power of the intelligent power supply is monitored normally.

5. An intelligent power supply control system based on the Internet of Things, the control system operates according to the intelligent power supply control method according to any one of claims 1 to 4, characterized in that: include: The branch power confirmation unit monitors the parameters of the branch branches interconnected by the intelligent power supply and controls the power supply in real time. By limiting the monitoring period, the power usage of different branches within the specified monitoring period is analyzed to determine the customary power range of different branches; The intelligent power supply overload analysis unit identifies whether the intelligent power supply is overloaded when each branch is running at the maximum value of the corresponding customary power range based on the customary power range of each different branch and the maximum output power of the intelligent power supply. If there is an overload, the synchronous control branch is locked. If there is no overload, no processing is performed; The associated control unit monitors whether the synchronous control branch is synchronously in the power use state in the subsequent period based on the determined synchronous control branch, and performs associated control on the power supply of the intelligent power supply based on the monitoring result.

Images