A digital power system intelligent supervision method based on cloud computing

Abstract

The present invention relates to the field of power supervision, and specifically to a cloud computing-based intelligent supervision method for a digital power system, comprising: an information generation module, a node verification module, a distribution chip module, a protocol latch module and a line relay module. The information generation module is used to randomly generate a binary sequence, the node verification module is used to send and receive sequence signals and classify line nodes, the distribution chip module is used to build a power grid topology model and reconnect power-consuming equipment, the protocol latch module is used to monitor the operating status of equipment, and the line relay module is used to judge the line status and disconnect abnormal lines. The present invention can realize circuit organization of complex power grids, optimize the energy dispatching and distribution of power systems, enable the power grid to transmit information more effectively, improve the power grid operation efficiency, and at the same time, quickly locate power system fault points, reduce fault handling time, and improve the safety and stability of the power grid.

Description

Technical Field

[0001] The present invention relates to the field of power supervision, and in particular to an intelligent supervision method for a digital power system based on cloud computing. Background Art

[0002] The power system, consisting of power plants, transmission and distribution networks, transmits electricity from the power plant to end users, encompassing the entire process of transmission, distribution, and consumption. The terminal end of the power system consists of distribution stations, household power grids, and power-consuming devices. Due to the varying quality of equipment connected to the grid, circuit protection features are often required to prevent safety hazards caused by short circuits.

[0003] However, the power grid facilities in some power consumption sites are outdated, and the household power grid has become quite complicated after years of wiring. It is very difficult to monitor the power parameters of each line, especially in industrial and commercial sites where energy-consuming equipment is relatively concentrated. Due to the large number of devices connected to the power grid, it is difficult to trace the faulty lines and faulty equipment, resulting in a reduction in line safety performance.

[0004] To handle these complex lines, circuit maintenance personnel need to regularly manage the incoming power grid and reorganize the equipment, adjust the access location of the equipment, and ensure the stability of the current in each node line to prevent the power system from being affected by excessive current fluctuations or unstable voltage and affecting the normal operation of the equipment. However, the reorganization process requires a lot of time and resources, and existing automated reorganization devices have defects in timeliness and stability. Summary of the Invention

[0005] The purpose of the present invention is to provide a digital power system intelligent supervision method based on cloud computing to solve the problems raised in the above background technology.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions: a digital power system intelligent supervision system based on cloud computing, comprising: an information generation module, a node verification module, a power distribution chip module, a protocol latch module and a line relay module;

[0007] The information generation module is composed of a main control computer installed in the primary power distribution equipment and a signal sensor installed in the line node. It is used to check the number of nodes in the power system and randomly generate a fixed-length periodic binary sequence according to the number of nodes. The sequence signal is coupled with the power supply current and then sent to the power grid. It also provides protocol change and decoupling signals to the node equipment.

[0008] The node verification module is composed of a logic chip installed at a power grid line node and a load device directly connected to the line node. After the line node receives a sequence signal sent by the main control computer, it generates the inverse code of the sequence signal according to a preset protocol and transmits it to the adjacent node. At the same time, the logic chip at each node locally superimposes the sequence signals received from all sources, calculates the total information content of the superimposed signals, and classifies the nodes according to the total information content.

[0009] The power distribution chip module is used to build a topology model in the cloud according to the level of line nodes, branch the current supply current, calculate the loss factor of the node connection device based on the diversion size and the installed capacity of the power-consuming equipment, establish a load model for all devices, perform random simulated connections on the devices, evaluate the current conversion efficiency and load of each node after connection, successively screen all simulated connection results, and reconnect the circuit according to the optimal screened result;

[0010] The protocol latch module is used to change the transceiver protocol of the node logic chip. The main control computer sends a continuous low-level binary sequence signal to the node again, and the signal is latched in the node logic chip for one cycle. Each binary signal corresponds to a time point within the cycle. During the latching process, if the node current exceeds the rated current of the distribution device at a certain moment in the cycle, the low-level signal corresponding to the time point is reset and modified to a high-level signal.

[0011] The line relay module is used to check the latch signals of adjacent nodes. When a high-level signal is detected at the same time point, it is determined that a line collision has occurred. When the number of line collisions between adjacent nodes exceeds a threshold, the logic chip issues a fuse instruction, disconnects the connection line between the collision nodes, and re-evaluates the line.

[0012] Furthermore, the information generation module includes: a power supply management unit and a signal sensing unit;

[0013] The power supply management unit is used to supply power from the distribution station to the household power grid and control the coupling and decoupling process of the power supply current;

[0014] The signal sensing unit is used to provide a communication channel between the main control computer and the cloud, generate random sequences, and verify data feedback from nodes in the power grid.

[0015] Furthermore, the node inspection module includes: a node device unit, a signal processing unit and a feedback classification unit;

[0016] The node device unit is used to connect a logic chip at a node where lines intersect in a power grid, and the chip receives a coupled signal of the current;

[0017] The signal processing unit is used to send an inverted signal of the parsed signal from the logic chip and transmit the signal to all adjacent chips along the power grid line;

[0018] The feedback grading unit is used to accumulate all signals locally, calculate the information volume of the signals, summarize all information volume calculation results in the cloud, and grade the nodes.

[0019] Furthermore, the power distribution chip module includes: an installation evaluation unit, a simulation connection unit, and a device reconnection unit;

[0020] The installation evaluation unit is used to obtain the operating parameters of the electrical equipment, calculate the loss factor of the equipment according to the node level to which the equipment is connected, and obtain the equipment load model based on the operating parameters and the loss factor;

[0021] The simulation connection unit is used to construct a topology model according to the level of line nodes, and perform random access simulation of each node for all devices in the cloud;

[0022] The device reconnection unit is used to screen the simulation results and reconnect the devices in the power grid according to the optimal screening results.

[0023] Furthermore, the protocol latch module includes: a protocol change unit and a local latch unit;

[0024] The protocol change unit is used to send a protocol change instruction to the node logic chip after the device is reconnected, and enter the device continuous monitoring state;

[0025] The local latch unit is used to send and receive low-level confirmation signals, latch the confirmation signal for one cycle, and change the latch signal according to the device monitoring result.

[0026] Furthermore, the line relay module includes: a level checking unit and an excited disconnection unit;

[0027] The level checking unit is used to compare the latch signals of each node with those of all adjacent nodes, and when the signals meet the resonance condition, it is determined that the node connection line is in a short-circuit state;

[0028] The stimulated disconnection unit is used to fuse the connection pins between the logic chip and the corresponding node when the node connection line is short-circuited, send a maintenance report and re-enter the device connection process.

[0029] A method for intelligent supervision of a digital power system based on cloud computing includes the following steps:

[0030] Step S1. A main control computer and current coupler are installed in the power distribution equipment, and logic chips are connected at the nodes of the power grid line. The main control computer randomly generates a binary sequence of fixed length according to the number of nodes, couples the sequence signal with the supply current, and then sends it to the power grid;

[0031] Step S2. The grid node generates the inverse of the sequence signal, adds a check code to the sequence signal, and transmits the sequence signal along the line to the adjacent nodes. Each time the signal passes through a node, the check code is recorded and consumed until the check code returns to zero.

[0032] Step S3. Each node accumulates all received sequence signals and calculates the total information content of the accumulated signals. In the cloud, the maximum hop count of the node is calculated based on the ratio of the total information content to the information content of the initial binary sequence. The number of adjacent nodes of the node is obtained based on the check code forwarding record. The maximum hop count and the number of adjacent nodes of the node are used to generate a power grid topology model.

[0033] Step S4. Obtain the operating parameters of all electrical devices, calculate the device's loss factor based on the device's load status in the current branch, input the grid's power supply parameters and the loss factor of each device into the topology model, perform a random access simulation of the device's connection in the circuit, and reconnect the device according to the optimal access result screened out;

[0034] Step S5. Send a low-level sequence signal. The node determines the signal latch period according to the connected load of the device, so that each low-level signal in the sequence corresponds to a time point within the period. When the node current exceeds the rated current, the signal at the corresponding time point is reset to a high level, and the latch signals of adjacent nodes are checked. When the latch signals of adjacent nodes have consistent high-level signals at the same time point, the line between the nodes is blown.

[0035] Furthermore, step S1 includes:

[0036] Step S11. Verify the number of nodes in the incoming power grid and replace the wiring terminals at the line connection nodes with logic chips. The logic chip has the ability to communicate with the main control computer. The main control computer is located in the power distribution room and is connected to the incoming power cable through a branch line. It can detect the current and voltage in the incoming power cable.

[0037] Step S12. The main control computer generates a random binary sequence with a sequence length satisfying L>log2N, where L represents the sequence length and N represents the number of nodes. The binary sequence is converted into a micro-current pulse signal, which is integrated into the household current and enters the power grid with the help of a circuit coupler.

[0038] Furthermore, step S2 includes:

[0039] Step S21. The node decouples the pulse signal from the current, converts it into a binary sequence, generates the inverse of the binary sequence, and adds a check code to the sequence signal. The initial number of bits of the check code is m, where m represents the maximum number of forwarding times. The node sends the inverse signal containing the check code along the power grid line to the adjacent node.

[0040] Step S22. After receiving the inverted signal, the adjacent node performs a check code judgment. If the check code is not all 0, the check code is subtracted by one bit, and the inverted signal is forwarded to all lines other than the signal source, and the check code is recorded locally. If the check code is all 0 or the signal cannot be forwarded, the forwarding operation is not performed, and the inverted signal is stored in the local data.

[0041] Furthermore, step S3 includes:

[0042] Step S31. Each node accumulates all received inverse sequence and check code signals, calculates the information content of the inverse sequence and the information content of the check code, and transmits the calculation results to the main control computer via the communication device in the logic chip;

[0043] Step S32: The host computer uploads the calculation results to the cloud and uses cloud computing resources to determine the adjacent status of the nodes. The determination process satisfies the following rules:

[0044] Step S32-1. Divide the information content of the inverse sequence by the information content of the initial binary signal and round the result. If the rounded value is greater than 2, it means that the node has a neighboring node within m hops of forwarding. Otherwise, it means that the number of forwarding hops of the node is less than m hops.

[0045] Step S32-2. When the node forwarding hop count is less than m hops, the information content of each check code is checked and divided by the standard information content of the binary data to obtain the number of check code bits. This indicates that the node has n connected nodes within m hops, where n is the number of check code bits. The number of neighboring nodes of the node is obtained based on the number of check codes.

[0046] Step S32-3. Based on the number of adjacent nodes and the number of connected nodes within m hops, draw a connection outline of all nodes with a forwarding hop count lower than m hops. Add nodes according to the known connection direction of the outline so that all nodes meet the forwarding hop count requirement. Output the outline after adding all nodes to obtain the power grid topology map.

[0047] Step S33: Generate a power grid topology model on the cloud platform according to the power grid topology diagram, and transmit the model to the main control computer.

[0048] Furthermore, step S4 includes:

[0049] Step S41. Calculate the loss factor of the electrical equipment according to the operating parameters of the electrical equipment using the following formula:

[0050] ;

[0051] Among them, I represents the working current of the electrical equipment, P c Represents the installed capacity of electrical equipment, U Nrepresents the rated voltage of the equipment, and θ represents the loss factor of the electrical equipment;

[0052] Step S42: Substitute the input current and input voltage into the grid topology model, randomly connect devices, calculate the working efficiency of each node according to the working parameters and loss factor of the devices, and use the annealing method to screen the simulation results:

[0053] ;

[0054] Where P represents the acceptance probability of the simulation result, h represents the number of simulations, E(h) and E(h+1) represent the average node work efficiency obtained from the h-th and h+1-th simulations, T is the preset control parameter, and e is the base of the natural logarithm;

[0055] Step S43: After the iterative operation, the simulation result with the highest acceptance probability is selected as the optimal installation plan for the equipment, and all electrical equipment are reinstalled according to the optimal installation plan.

[0056] Furthermore, step S5 includes:

[0057] Step S51. Change the node logic chip's transceiver protocol. The host computer again sends a continuous low-level binary sequence signal to the node, and the signal is latched in the node logic chip for one cycle. Each binary signal corresponds to a time point within the cycle.

[0058] Step S52: During the latching process, when the node current exceeds the rated current of its distribution device at a certain moment within the cycle, the low-level signal corresponding to the time point is reset and modified to a high-level signal;

[0059] Step S53: Check the latch signals of adjacent nodes. When a high-level signal is detected at the same time point, the logic chip issues a fuse instruction to disconnect the connection line between the colliding nodes.

[0060] Compared with the prior art, the present invention has the following beneficial effects:

[0061] The present invention can generate a periodic binary sequence according to the number of node devices, transmit the sequence signal to the node device, and the node device generates the inverse code of the sequence signal and transmits it to the adjacent node, locally superimposes the sequence signal, and classifies the nodes according to the information volume of the superimposed signal, thereby realizing circuit organization of complex power grids, optimizing the energy dispatching and distribution of the power system, enabling power grid equipment to more effectively transmit and manage information, and improving the operation efficiency of the power grid.

[0062] The present invention simulates the random connection of devices in the circuit, evaluates the current conversion efficiency and node load after the connection, screens the connection results one by one, and reconnects the circuit according to the optimal screening result, thereby realizing the automatic reorganization of the equipment, making the power grid more flexible, able to flexibly respond to changes in the power demand of different devices, and improving the adaptability of the power grid.

[0063] The present invention can send the sequence signal again after the device is reconnected, and at the same time change the node protocol so that the signal is latched in the node for one cycle, and reset the low-level signal according to the matching degree of the node current. When the same low-level signal exists in adjacent nodes, the connection between the nodes is automatically disconnected, which can help to quickly locate the fault point, reduce the fault handling time, reduce the occurrence and spread of power grid safety accidents, and improve the safety and stability of the power grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] 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:

[0065] Figure 1 This is a schematic diagram of the structure of a system corresponding to a cloud computing-based digital power system intelligent supervision method of the present invention;

[0066] Figure 2 This is a schematic diagram of the steps of a cloud computing-based digital power system intelligent supervision method of the present invention. DETAILED DESCRIPTION

[0067] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 making creative efforts are within the scope of protection of the present invention.

[0068] See also Figure 1 , the present invention provides a technical solution: a digital power system intelligent supervision system based on cloud computing, including: an information generation module, a node inspection module, a power distribution chip module, a protocol latch module and a line relay module;

[0069] The information generation module is composed of a main control computer installed in the primary power distribution equipment and a signal sensor installed in the line node. It is used to check the number of nodes in the power system and randomly generate a fixed-length periodic binary sequence according to the number of nodes. The sequence signal is coupled with the power supply current and then sent to the power grid. It also provides protocol change and decoupling signals to the node equipment.

[0070] The information generation module includes: a power supply management unit and a signal sensing unit;

[0071] The power supply management unit is used to supply power from the distribution station to the household power grid and control the coupling and decoupling process of the power supply current;

[0072] The signal sensing unit is used to provide a communication channel between the main control computer and the cloud, generate random sequences, and verify data feedback from nodes in the power grid.

[0073] The node verification module is composed of a logic chip installed at a power grid line node and a load device directly connected to the line node. After the line node receives a sequence signal sent by the main control computer, it generates the inverse code of the sequence signal according to a preset protocol and transmits it to the adjacent node. At the same time, the logic chip at each node locally superimposes the sequence signals received from all sources, calculates the total information content of the superimposed signals, and classifies the nodes according to the total information content.

[0074] The node inspection module includes: a node device unit, a signal processing unit and a feedback classification unit;

[0075] The node device unit is used to connect a logic chip at a node where lines intersect in a power grid, and the chip receives a coupled signal of the current;

[0076] The signal processing unit is used to send an inverted signal of the parsed signal from the logic chip and transmit the signal to all adjacent chips along the power grid line;

[0077] The feedback grading unit is used to accumulate all signals locally, calculate the information volume of the signals, summarize all information volume calculation results in the cloud, and grade the nodes.

[0078] The power distribution chip module is used to build a topology model in the cloud according to the level of line nodes, branch the current supply current, calculate the loss factor of the node connection device based on the diversion size and the installed capacity of the power-consuming equipment, establish a load model for all devices, perform random simulated connections on the devices, evaluate the current conversion efficiency and load of each node after connection, successively screen all simulated connection results, and reconnect the circuit according to the optimal screened result;

[0079] The power distribution chip module includes: an installation evaluation unit, a simulation connection unit and a device reconnection unit;

[0080] The installation evaluation unit is used to obtain the operating parameters of the electrical equipment, calculate the loss factor of the equipment according to the node level to which the equipment is connected, and obtain the equipment load model based on the operating parameters and the loss factor;

[0081] The simulation connection unit is used to construct a topology model according to the level of line nodes, and perform random access simulation of each node for all devices in the cloud;

[0082] The device reconnection unit is used to screen the simulation results and reconnect the devices in the power grid according to the optimal screening results.

[0083] The protocol latch module is used to change the transceiver protocol of the node logic chip. The main control computer sends a continuous low-level binary sequence signal to the node again, and the signal is latched in the node logic chip for one cycle. Each binary signal corresponds to a time point within the cycle. During the latching process, if the node current exceeds the rated current of the distribution device at a certain moment in the cycle, the low-level signal corresponding to the time point is reset and modified to a high-level signal.

[0084] The protocol latch module includes: a protocol change unit and a local latch unit;

[0085] The protocol change unit is used to send a protocol change instruction to the node logic chip after the device is reconnected, and enter the device continuous monitoring state;

[0086] The local latch unit is used to send and receive low-level confirmation signals, latch the confirmation signal for one cycle, and change the latch signal according to the device monitoring result.

[0087] The line relay module is used to check the latch signals of adjacent nodes. When a high-level signal is detected at the same time point, it is determined that a line collision has occurred. When the number of line collisions between adjacent nodes exceeds a threshold, the logic chip issues a fuse instruction, disconnects the connection line between the collision nodes, and re-evaluates the line.

[0088] The line relay module includes: a level checking unit and an excited disconnection unit;

[0089] The level checking unit is used to compare the latch signals of each node with those of all adjacent nodes, and when the signals meet the resonance condition, it is determined that the node connection line is in a short-circuit state;

[0090] The stimulated disconnection unit is used to fuse the connection pins between the logic chip and the corresponding node when the node connection line is short-circuited, send a maintenance report and re-enter the device connection process.

[0091] like Figure 2 As shown, a method for intelligent supervision of a digital power system based on cloud computing includes the following steps:

[0092] Step S1. A main control computer and current coupler are installed in the power distribution equipment, and logic chips are connected at the nodes of the power grid line. The main control computer randomly generates a binary sequence of fixed length according to the number of nodes, couples the sequence signal with the supply current, and then sends it to the power grid;

[0093] Step S1 includes:

[0094] Step S11. Verify the number of nodes in the incoming power grid and replace the wiring terminals at the line connection nodes with logic chips. The logic chip has the ability to communicate with the main control computer. The main control computer is located in the power distribution room and is connected to the incoming power cable through a branch line. It can detect the current and voltage in the incoming power cable.

[0095] Step S12. The main control computer generates a random binary sequence with a sequence length satisfying L>log2N, where L represents the sequence length and N represents the number of nodes. The binary sequence is converted into a micro-current pulse signal, which is integrated into the household current and enters the power grid with the help of a circuit coupler.

[0096] Step S2. The grid node generates the inverse of the sequence signal, adds a check code to the sequence signal, and transmits the sequence signal along the line to the adjacent nodes. Each time the signal passes through a node, the check code is recorded and consumed until the check code returns to zero.

[0097] Step S2 includes:

[0098] Step S21. The node decouples the pulse signal from the current, converts it into a binary sequence, generates the inverse of the binary sequence, and adds a check code to the sequence signal. The initial number of bits of the check code is m, where m represents the maximum number of forwarding times. The node sends the inverse signal containing the check code along the power grid line to the adjacent node.

[0099] Step S22. After receiving the inverted signal, the adjacent node performs a check code judgment. If the check code is not all 0, the check code is subtracted by one bit, and the inverted signal is forwarded to all lines other than the signal source, and the check code is recorded locally. If the check code is all 0 or the signal cannot be forwarded, the forwarding operation is not performed, and the inverted signal is stored in the local data.

[0100] Step S3. Each node accumulates all received sequence signals and calculates the total information content of the accumulated signals. In the cloud, the maximum hop count of the node is calculated based on the ratio of the total information content to the information content of the initial binary sequence. The number of adjacent nodes of the node is obtained based on the check code forwarding record. The maximum hop count and the number of adjacent nodes of the node are used to generate a power grid topology model.

[0101] Step S3 includes:

[0102] Step S31. Each node accumulates all received inverse sequence and check code signals, calculates the information content of the inverse sequence and the information content of the check code, and transmits the calculation results to the main control computer via the communication device in the logic chip;

[0103] Step S32: The host computer uploads the calculation results to the cloud and uses cloud computing resources to determine the adjacent status of the nodes. The determination process satisfies the following rules:

[0104] Step S32-1. Divide the information content of the inverse sequence by the information content of the initial binary signal and round the result. If the rounded value is greater than 2, it means that the node has a neighboring node within m hops of forwarding. Otherwise, it means that the number of forwarding hops of the node is less than m hops.

[0105] Step S32-2. When the node forwarding hop count is less than m hops, the information content of each check code is checked and divided by the standard information content of the binary data to obtain the number of check code bits. This indicates that the node has n connected nodes within m hops, where n is the number of check code bits. The number of neighboring nodes of the node is obtained based on the number of check codes.

[0106] Step S32-3. Based on the number of adjacent nodes and the number of connected nodes within m hops, draw a connection outline of all nodes with a forwarding hop count lower than m hops. Add nodes according to the known connection direction of the outline so that all nodes meet the forwarding hop count requirement. Output the outline after adding all nodes to obtain the power grid topology map.

[0107] Step S33: Generate a power grid topology model on the cloud platform according to the power grid topology diagram, and transmit the model to the main control computer.

[0108] Step S4. Obtain the operating parameters of all electrical devices, calculate the device's loss factor based on the device's load status in the current branch, input the grid's power supply parameters and the loss factor of each device into the topology model, perform a random access simulation of the device's connection in the circuit, and reconnect the device according to the optimal access result screened out;

[0109] Step S4 includes:

[0110] Step S41. Calculate the loss factor of the electrical equipment according to the operating parameters of the electrical equipment using the following formula:

[0111] ;

[0112] Among them, I represents the working current of the electrical equipment, P c Represents the installed capacity of electrical equipment, U N represents the rated voltage of the equipment, and θ represents the loss factor of the electrical equipment;

[0113] Step S42: Substitute the input current and input voltage into the grid topology model, randomly connect devices, calculate the working efficiency of each node according to the working parameters and loss factor of the devices, and use the annealing method to screen the simulation results:

[0114] ;

[0115] Where P represents the acceptance probability of the simulation result, h represents the number of simulations, E(h) and E(h+1) represent the average node work efficiency obtained from the h-th and h+1-th simulations, T is the preset control parameter, and e is the base of the natural logarithm;

[0116] Step S43: After the iterative operation, the simulation result with the highest acceptance probability is selected as the optimal installation plan for the equipment, and all electrical equipment are reinstalled according to the optimal installation plan.

[0117] Step S5. Send a low-level sequence signal. The node determines the signal latch period according to the connected load of the device, so that each low-level signal in the sequence corresponds to a time point within the period. When the node current exceeds the rated current, the signal at the corresponding time point is reset to a high level, and the latch signals of adjacent nodes are checked. When the latch signals of adjacent nodes have consistent high-level signals at the same time point, the line between the nodes is blown.

[0118] Step S5 includes:

[0119] Step S51. Change the node logic chip's transceiver protocol. The host computer again sends a continuous low-level binary sequence signal to the node, and the signal is latched in the node logic chip for one cycle. Each binary signal corresponds to a time point within the cycle.

[0120] Step S52: During the latching process, when the node current exceeds the rated current of its distribution device at a certain moment within the cycle, the low-level signal corresponding to the time point is reset and modified to a high-level signal;

[0121] Step S53: Check the latch signals of adjacent nodes. When a high-level signal is detected at the same time point, the logic chip issues a fuse instruction to disconnect the connection line between the colliding nodes.

[0122] Example: When there are three nodes in the power grid, the main control computer sends a sequence

[1011] . After node 1 receives the signal, it converts the signal into an inverse code

[0100] , adds the identifier 01, and passes it to node 2 and node 3. After node 2 and node 3 receive the sequence signal, they store the information

[0100] locally. After the cloud obtains the storage information of each node, it is found that there is only one hop of inverse code forwarding in node 2 and node 3. It is determined that node 2 and node 3 are not connected and there is no forwarding in node 1. Then, node 1 is determined to be the root node, connecting nodes 2 and 3, and generating a connection model based on the node topology relationship on the cloud platform.

[0123] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus.

[0124] Finally, it should be noted that the above descriptions are merely preferred embodiments of the present invention and are 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 will be able to modify the technical solutions described in the aforementioned embodiments or substitute equivalents for some of the technical features. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention shall be included within the scope of protection of the present invention.

Claims

1. A digital power system intelligent supervision method based on cloud computing, characterized in that: The method comprises the following steps: Step S1. A main control computer and current coupler are installed in the power distribution equipment, and logic chips are connected at the nodes of the power grid line. The main control computer randomly generates a binary sequence of fixed length according to the number of nodes, couples the sequence signal with the supply current, and then sends it to the power grid; Step S2. The grid node generates the inverse of the sequence signal, adds a check code to the sequence signal, and transmits the sequence signal along the line to the adjacent nodes. Each time the signal passes through a node, the check code is recorded and consumed until the check code returns to zero. Step S3. Each node accumulates all received sequence signals and calculates the total information content of the accumulated signals. In the cloud, the maximum hop count of the node is calculated based on the ratio of the total information content to the information content of the initial binary sequence. The number of adjacent nodes of the node is obtained based on the check code forwarding record. The maximum hop count and the number of adjacent nodes of the node are used to generate a power grid topology model. Step S4. Obtain the operating parameters of all electrical devices, calculate the device's loss factor based on the device's load status in the current branch, input the grid's power supply parameters and the loss factor of each device into the topology model, perform a random access simulation of the device's connection in the circuit, and reconnect the device according to the optimal access result screened out; Step S5. Send a low-level sequence of signals. The node determines the signal latching period based on the device's connected load, so that each low-level signal in the sequence corresponds to a time point within the period. When the node current exceeds the rated current, the signal at the corresponding time point is reset to a high level. The latched signals of adjacent nodes are checked. When the latched signals of adjacent nodes have a consistent high-level signal at the same time point, the circuit between the nodes is disconnected. Step S3 includes: Step S31. Each node accumulates all received inverse sequence and check code signals, calculates the information content of the inverse sequence and the information content of the check code, and transmits the calculation results to the main control computer via the communication device in the logic chip; Step S32: The host computer uploads the calculation results to the cloud and uses cloud computing resources to determine the adjacent status of the nodes. The determination process satisfies the following rules: Step S32-1. Divide the information content of the inverse sequence by the information content of the initial binary signal and round the result. If the rounded value is greater than 2, it means that the node has a neighboring node within m hops of forwarding. Otherwise, it means that the number of forwarding hops of the node is less than m hops. Step S32-2. When the node forwarding hop count is less than m hops, the information content of each check code is checked and divided by the standard information content of the binary data to obtain the number of check code bits. This indicates that the node has n connected nodes within m hops, where n is the number of check code bits. The number of neighboring nodes of the node is obtained based on the number of check codes. Step S32-3. Based on the number of adjacent nodes and the number of connected nodes within m hops, draw a connection outline of all nodes with a forwarding hop count lower than m hops. Add nodes according to the known connection direction of the outline so that all nodes meet the forwarding hop count requirement. Output the outline after adding all nodes to obtain the power grid topology map. Step S33. Generate a grid topology model on the cloud platform according to the grid topology diagram, and transmit the model to the host computer; Step S4 includes: Step S41. Calculate the loss factor of the electrical equipment according to the operating parameters of the electrical equipment using the following formula: ； Among them, I represents the working current of the electrical equipment, P c Represents the installed capacity of electrical equipment, U N represents the rated voltage of the equipment, and θ represents the loss factor of the electrical equipment; Step S42: Substitute the input current and input voltage into the grid topology model, randomly connect devices, calculate the working efficiency of each node according to the working parameters and loss factor of the devices, and use the annealing method to screen the simulation results: ； Where P represents the acceptance probability of the simulation result, h represents the number of simulations, E(h) and E(h+1) represent the average node work efficiency obtained from the h-th and h+1-th simulations, T is the preset control parameter, and e is the base of the natural logarithm; Step S43: After the iterative operation, the simulation result with the highest acceptance probability is selected as the optimal installation plan for the equipment, and all electrical equipment are reinstalled according to the optimal installation plan.

2. The method for intelligent supervision of a digital power system based on cloud computing according to claim 1, characterized in that: Step S1 includes: Step S11. Verify the number of nodes in the incoming power grid and replace the wiring terminals at the line connection nodes with logic chips. The logic chip has the ability to communicate with the main control computer. The main control computer is located in the power distribution room and is connected to the incoming power cable through a branch line. It can detect the current and voltage in the incoming power cable. Step S12. The main control computer generates a random binary sequence with a sequence length satisfying L>log2N, where L represents the sequence length and N represents the number of nodes. The binary sequence is converted into a micro-current pulse signal, which is integrated into the household current and enters the power grid with the help of a circuit coupler.

3. The method for intelligent supervision of a digital power system based on cloud computing according to claim 2, characterized in that: Step S2 includes: Step S21. The node decouples the pulse signal from the current, converts it into a binary sequence, generates the inverse of the binary sequence, and adds a check code to the sequence signal. The initial number of bits of the check code is m, where m represents the maximum number of forwarding times. The node sends the inverse signal containing the check code along the power grid line to the adjacent node. Step S22. After receiving the inverted signal, the adjacent node performs a check code judgment. If the check code is not all 0, the check code is subtracted by one bit, and the inverted signal is forwarded to all lines other than the signal source, and the check code is recorded locally. If the check code is all 0 or the signal cannot be forwarded, the forwarding operation is not performed, and the inverted signal is stored in the local data.

4. The method for intelligent supervision of a digital power system based on cloud computing according to claim 3, characterized in that: Step S5 includes: Step S51. Change the node logic chip's transceiver protocol. The host computer again sends a continuous low-level binary sequence signal to the node, and the signal is latched in the node logic chip for one cycle. Each binary signal corresponds to a time point within the cycle. Step S52: During the latching process, when the node current exceeds the rated current of its distribution device at a certain moment within the cycle, the low-level signal corresponding to the time point is reset and modified to a high-level signal; Step S53: Check the latch signals of adjacent nodes. When a high-level signal is detected at the same time point, the logic chip issues a fuse instruction to disconnect the connection line between the colliding nodes.

5. A digital power system intelligent supervision system based on cloud computing, wherein the system executes the digital power system intelligent supervision method based on cloud computing according to claim 1, characterized in that: The system includes the following modules: information generation module, node inspection module, power distribution chip module, protocol latch module and line relay module; The information generation module is composed of a main control computer installed in the primary power distribution equipment and a signal sensor installed in the line node. It is used to check the number of nodes in the power system and randomly generate a fixed-length periodic binary sequence according to the number of nodes. The sequence signal is coupled with the power supply current and then sent to the power grid. It also provides protocol change and decoupling signals to the node equipment. The node verification module is composed of a logic chip installed at a power grid line node and a load device directly connected to the line node. After the line node receives a sequence signal sent by the main control computer, it generates the inverse code of the sequence signal according to a preset protocol and transmits it to the adjacent node. At the same time, the logic chip at each node locally superimposes the sequence signals received from all sources, calculates the total information content of the superimposed signals, and classifies the nodes according to the total information content. The power distribution chip module is used to build a topology model in the cloud according to the level of line nodes, branch the current supply current, calculate the loss factor of the node connection device based on the diversion size and the installed capacity of the power-consuming equipment, establish a load model for all devices, perform random simulated connections on the devices, evaluate the current conversion efficiency and load of each node after connection, successively screen all simulated connection results, and reconnect the circuit according to the optimal screened result; The protocol latch module is used to change the transceiver protocol of the node logic chip. The main control computer sends a continuous low-level binary sequence signal to the node again, and the signal is latched in the node logic chip for one cycle. Each binary signal corresponds to a time point within the cycle. During the latching process, if the node current exceeds the rated current of the distribution device at a certain moment in the cycle, the low-level signal corresponding to the time point is reset and modified to a high-level signal. The line relay module is used to check the latch signals of adjacent nodes. When a high-level signal is detected at the same time point, it is determined that a line collision has occurred. When the number of line collisions between adjacent nodes exceeds a threshold, the logic chip issues a fuse instruction, disconnects the connection line between the collision nodes, and re-evaluates the line.

6. The cloud computing-based digital power system intelligent monitoring system according to claim 5, characterized in that: The information generation module includes: a power supply management unit and a signal sensing unit; The power supply management unit is used to supply power from the distribution station to the household power grid and control the coupling and decoupling process of the power supply current; The signal sensing unit is used to provide a communication channel between the main control computer and the cloud, generate random sequences, and verify data feedback from nodes in the power grid.

7. The cloud computing-based digital power system intelligent supervision system according to claim 6, characterized in that: The node inspection module includes: a node device unit, a signal processing unit and a feedback classification unit; The node device unit is used to connect a logic chip at a node where lines intersect in a power grid, and the chip receives a coupled signal of the current; The signal processing unit is used to send an inverted signal of the parsed signal from the logic chip and transmit the signal to all adjacent chips along the power grid line; The feedback grading unit is used to accumulate all signals locally, calculate the information volume of the signals, summarize all information volume calculation results in the cloud, and grade the nodes.

8. The cloud computing-based digital power system intelligent monitoring system according to claim 7, characterized in that: The power distribution chip module includes: an installation evaluation unit, a simulation connection unit and a device reconnection unit; The installation evaluation unit is used to obtain the operating parameters of the electrical equipment, calculate the loss factor of the equipment according to the node level to which the equipment is connected, and obtain the equipment load model based on the operating parameters and the loss factor; The simulation connection unit is used to construct a topology model according to the level of line nodes, and perform random access simulation of each node for all devices in the cloud; The device reconnection unit is used to screen the simulation results and reconnect the devices in the power grid according to the optimal screening results.

9. The cloud computing-based digital power system intelligent supervision system according to claim 8, characterized in that: The protocol latch module includes: a protocol change unit and a local latch unit; The protocol change unit is used to send a protocol change instruction to the node logic chip after the device is reconnected, and enter the device continuous monitoring state; The local latch unit is used to send and receive low-level confirmation signals, latch the confirmation signals for one cycle, and change the latch signal according to the device monitoring results; The line relay module includes: a level checking unit and an excited disconnection unit; The level checking unit is used to compare the latch signals of each node with those of all adjacent nodes, and when the signals meet the resonance condition, it is determined that the node connection line is in a short-circuit state; The stimulated disconnection unit is used to fuse the connection pins between the logic chip and the corresponding node when the node connection line is short-circuited, send a maintenance report and re-enter the device connection process.

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