Method and system for metering power data of cluster power generation unit

Abstract

The invention relates to the technical field of power data metering, and particularly discloses a cluster power generation unit power data metering method and system, and the method comprises the steps: selecting a target metering node from set metering nodes, transmitting a collection instruction to the target metering node, and receiving feedback line data; on the basis of the transmission line, verifying other data in a preset range by certain line data, and grading the metering nodes according to a verification result; recursively updating the selection process of the target metering node based on the grading result; and predicting line data of other metering nodes according to the line data of the target metering node, and synchronously performing visual display. According to the invention, the accuracy rate of each metering node is calculated according to the sampling result of each time, and then the selection probability of each metering node is updated, so that the data accuracy of the selected metering node is always at a high level, global detection is converted into sampling detection while the accuracy rate is ensured, the data volume is greatly reduced, and the transmission pressure is relieved.

Description

Technical Field

[0001] The present invention relates to the technical field of power data metering, and in particular to a method and system for metering power data of a cluster power generation unit. Background Art

[0002] A clustered power generation unit generally refers to a group of power generation equipment or power plants that work together to provide electricity services. This cluster can be composed of many different types of power generation equipment, including gas turbines, gas engines, steam turbines, wind turbines, solar panels, etc. These equipment can be distributed within a geographic area or can be in different locations but connected to each other.

[0003] The power data metering process in cluster power generation units is very important. In order to ensure accuracy, most existing metering solutions insert metering nodes in all lines, and then perform global detection on the cluster power generation units. This solution has a large amount of data, great transmission pressure, and requires a high transmission cost. How to optimize the existing data collection process while ensuring accuracy is the technical problem that the technical solution of the present invention aims to solve. Summary of the invention

[0004] The object of the present invention is to provide a method and system for measuring power data of a cluster power generation unit to solve the problems raised in the above background technology.

[0005] To achieve the above object, the present invention provides the following technical solutions:

[0006] A method for measuring power data of a cluster power generation unit, the method comprising:

[0007] Obtain the transmission lines of the cluster power generation units, set up metering nodes in the transmission network and number them;

[0008] Select a target metering node from the set metering nodes, send a collection instruction to the target metering node, and receive feedback line data;

[0009] Based on the data of a certain line of the transmission line, other data within a preset range are verified, and the metering nodes are graded according to the verification results;

[0010] The selection process of recursively updating the target metering node based on the classification results;

[0011] The line data of other metering nodes are predicted based on the line data of the target metering node, and the line data are visualized synchronously.

[0012] As a further solution of the present invention: the step of obtaining the transmission line of the cluster power generation unit, setting the metering nodes in the transmission line network and numbering them includes:

[0013] Obtain the positional relationship of each unit in the cluster power generation unit, and construct a unit array based on the positional relationship; the row and column positions of each element in the unit array correspond to each unit;

[0014] Get the connection relationship of each unit, connect the elements in the unit array, and get the unit distribution map;

[0015] A metering node is set on each connecting line, and the number of the metering node is determined based on the row and column positions at both ends of the connecting line.

[0016] As a further solution of the present invention: the step of selecting a target metering node from the set metering nodes, sending a collection instruction to the target metering node, and receiving the feedback line data includes:

[0017] Read the unit distribution map, randomly select the target unit in the unit distribution map, and construct a circular area with the target unit as the center and the value determined by the number of its connecting lines as the radius;

[0018] Subtract the circular area from the unit distribution map to obtain a new unit distribution map, and repeat the random selection process until the new unit distribution map is empty;

[0019] Read the target metering node corresponding to the target unit, send a collection instruction to the target metering node, and receive feedback line data.

[0020] As a further solution of the present invention: the step of verifying other data within a preset range by a certain line data based on the transmission line, and grading the metering nodes according to the verification result includes:

[0021] Read the unit distribution map and determine the impedance between each metering node based on the actual record data;

[0022] determining a data relationship between each metering node based on the impedance;

[0023] Read the collected line data, and select the line data as the reference data in turn;

[0024] Verify the reference data and other data in sequence according to the determined data relationship, and when the verification result is accurate, increase the accuracy of the reference data by one;

[0025] When all verification processes are completed, the accuracy of each line data is counted, the accuracy is compared with the preset accuracy threshold, and the level of the metering node corresponding to each line data is determined based on the comparison result.

[0026] As a further solution of the present invention: the step of recursively updating the selection process of the target metering node based on the classification result includes:

[0027] Determine the selection probability of the corresponding unit according to the level of each metering node and insert the unit distribution map;

[0028] When randomly selecting a target unit in the unit distribution map, the real-time probability is calculated in real time according to the selection probability of the existing units, and the selection process of the target metering node is adjusted by the real-time probability.

[0029] As a further solution of the present invention: the step of predicting the line data of other metering nodes according to the line data of the target metering node and simultaneously performing visual display includes:

[0030] Reading the data relationship between each metering node, and determining the data relationship between the target metering node and other metering nodes according to the data relationship;

[0031] When the line data of the target metering node is obtained, the line data of other metering nodes are predicted based on the data relationship;

[0032] The line data is converted into color values ​​according to a preset conversion formula, and the converted color values ​​are displayed based on a unit distribution diagram.

[0033] The technical solution of the present invention also provides a cluster power generation unit power data metering system, the system comprising:

[0034] The node setting and numbering module is used to obtain the transmission lines of the cluster power generation units, set the metering nodes in the transmission line network and number them;

[0035] The line data acquisition module is used to select a target metering node from the set metering nodes, send a collection instruction to the target metering node, and receive feedback line data;

[0036] A data verification module is used to verify other data within a preset range based on a certain line data of the transmission line route, and to classify the metering nodes according to the verification results;

[0037] A selection process update module, used for recursively updating the selection process of the target metering node based on the classification result;

[0038] The prediction and display module is used to predict the line data of other metering nodes based on the line data of the target metering node and perform visual display simultaneously.

[0039] As a further solution of the present invention: the node setting numbering module includes:

[0040] The unit array construction unit is used to obtain the positional relationship of each unit in the cluster power generation unit and construct the unit array based on the positional relationship; the row and column positions of each element in the unit array correspond to each unit;

[0041] The element connection unit is used to obtain the connection relationship between each unit, connect the elements in the unit array, and obtain the unit distribution map; the numbering unit is used to set the metering node on each connection line, and determine the number of the metering node based on the row and column positions at both ends of the connection line.

[0042] As a further solution of the present invention: the line data acquisition module includes:

[0043] Randomly select a unit, which is used to read the unit distribution map, randomly select a target unit in the unit distribution map, and construct a circular area with the target unit as the center and the value determined by the number of its connection lines as the radius;

[0044] A distribution map updating unit is used to subtract the circular area from the unit distribution map to obtain a new unit distribution map, and to repeat the random selection process until the new unit distribution map is empty;

[0045] The data receiving unit is used to read the target metering node corresponding to the target unit, send a collection instruction to the target metering node, and receive feedback line data.

[0046] As a further solution of the present invention: the data verification module includes:

[0047] The impedance determination unit is used to read the unit distribution map and determine the impedance between each metering node based on the actual record data;

[0048] a data relationship determination unit, configured to determine a data relationship between each metering node based on the impedance;

[0049] A reference selection unit, used for reading the collected line data and selecting the line data in turn as reference data;

[0050] An accuracy increment unit, used to verify the reference data and other data in sequence according to the determined data relationship, and when the verification result is accurate, increment the accuracy of the reference data by one;

[0051] The accuracy comparison unit is used to count the accuracy of each line data when all verification processes are completed, compare the accuracy with a preset accuracy threshold, and determine the level of the metering node corresponding to each line data according to the comparison result.

[0052] Compared with the prior art, the beneficial effects of the present invention are as follows: the present invention provides a dynamic sampling scheme, which calculates the accuracy of each metering node according to the sampling result of each time, and then updates the selection probability of each metering node, so that the data accuracy of the selected metering node is always at a high level. While ensuring the accuracy, the global detection is converted into sampling detection, which greatly reduces the amount of data and alleviates the transmission pressure. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention.

[0054] Figure 1 The flowchart is a method for measuring power data of cluster power generation units.

[0055] Figure 2 This is a block diagram of a first sub-process of a method for measuring power data of cluster power generation units.

[0056] Figure 3 This is a second sub-flow chart of the method for measuring power data of cluster power generation units.

[0057] Figure 4 This is a block diagram of the third sub-process of the method for measuring power data of cluster power generation units.

[0058] Figure 5 This is a fourth sub-flow chart of the method for measuring power data of cluster power generation units.

[0059] Figure 6 This is a fifth sub-flow chart of the method for measuring power data of cluster power generation units.

[0060] Figure 7 This is a structural block diagram of the power data metering system for cluster power generation units. DETAILED DESCRIPTION

[0061] In order to make the technical problems, technical solutions and beneficial effects to be solved by the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0062] Figure 1 The flowchart of the method for measuring power data of a cluster power generation unit is shown in FIG. 1 . In an embodiment of the present invention, a method and system for measuring power data of a cluster power generation unit are provided. The method includes:

[0063] Step S100: obtaining the transmission lines of the cluster power generation units, setting metering nodes in the transmission lines and numbering them;

[0064] Step S200: Select a target metering node from the set metering nodes, send a collection instruction to the target metering node, and receive feedback line data;

[0065] Step S300: verifying other data within a preset range based on a certain line data of the transmission line route, and classifying the metering nodes according to the verification result;

[0066] Step S400: recursively updating the selection process of the target metering node based on the classification result;

[0067] Step S500: predicting the line data of other metering nodes according to the line data of the target metering node, and performing visual display synchronously.

[0068] A cluster power generation unit is a collection of multiple power generation units. Multiple power generation units are interconnected and share the same bus to output electricity. The network composed of the connecting lines between the various power generation units is the transmission line. Each branch line in the transmission line is traversed to set metering nodes. When setting the metering nodes, they will be numbered according to their locations.

[0069] There are a lot of metering nodes set up. If the data collected by all metering nodes are obtained at every moment, the amount of data will be very large. This belongs to the global collection method, which requires a lot of data transmission costs. In fact, in the same transmission line, only a limited number of line data need to be known to predict the data of each point on the entire transmission line. This belongs to the sampling collection method. Although the accuracy is not as good as the global collection method, its optimization cost is very large. Therefore, this application adopts the sampling collection method.

[0070] Specifically, the focus of the sampling collection method is accuracy. When sampling the metering nodes, the present application predicts other sampled data based on the data obtained from each sample, and then calculates the comprehensive accuracy. The higher the comprehensive accuracy, the more important the corresponding metering node is. It should be noted that as the environment changes, the importance of the metering node is constantly changing, and the present application is a timed sampling process, which is itself a dynamic process, and can select the most important metering node at the current moment in real time.

[0071] Among them, the dynamic adjustment process is to adjust the probability in the sampling process according to the importance of the metering node. The higher the importance, the greater the probability and the greater the chance of being selected, thus building a virtuous circle.

[0072] Finally, based on the sampled data, the data at each position in other transmission lines are predicted, and the predicted data of all points in the transmission lines can be obtained and displayed.

[0073] It is worth mentioning that the data collection and display process of the present application has time information, and the corresponding time information is the same.

[0074] Figure 2 The first sub-flow chart of the cluster power generation unit power data metering method is as follows. The steps of obtaining the transmission line of the cluster power generation unit, setting the metering nodes in the transmission line network and numbering them include:

[0075] Step S101: obtaining the positional relationship of each unit in the cluster power generation unit, and constructing a unit array based on the positional relationship; the row and column positions of each element in the unit array correspond to each unit;

[0076] Step S102: obtaining the connection relationship of each unit, connecting the elements in the unit array, and obtaining a unit distribution map;

[0077] Step S103: setting a metering node on each connection line, and determining the number of the metering node based on the row and column positions at both ends of the connection line.

[0078] The above content limits the process of setting and numbering the metering nodes, obtains the positional relationship of each unit in the cluster power generation unit, and constructs a matrix based on the positional relationship to reflect the positional relationship between each unit; then, obtains whether there is a connection line between each unit in the actual scenario. If so, connect the corresponding elements in the matrix to obtain the connection line, set the metering node on each connection line, obtain the row and column positions of the elements at both ends of the connection line and connect them, which can be used as the number.

[0079] Figure 3 The second sub-flow chart of the cluster power generation unit power data metering method, wherein the steps of selecting a target metering node from the set metering nodes, sending a collection instruction to the target metering node, and receiving feedback line data include:

[0080] Step S201: reading a unit distribution map, randomly selecting a target unit in the unit distribution map, and constructing a circular area with the target unit as the center and a value determined by the number of its connection lines as the radius;

[0081] Step S202: subtract the circular area from the unit distribution map to obtain a new unit distribution map, and repeat the random selection process until the new unit distribution map is empty;

[0082] Step S203: read the target metering node corresponding to the target unit, send a collection instruction to the target metering node, and receive feedback line data.

[0083] The above content limits the selection process of the metering node and provides a cyclic selection scheme, which selects an element in the unit distribution map, and then determines a circular range with the element as the center. The circular range is subtracted from the unit distribution map, and then the selection is performed again, and the cycle is repeated until the unit distribution map is reduced to empty; at this time, the selected element is called the target unit, and the metering node corresponding to the target unit is queried, which is called the target metering node. A collection instruction is sent to the target metering node, and feedback line data is received.

[0084] Among them, for each circular range determined, the more connecting lines corresponding to each element, the larger the radius of the circular range.

[0085] Figure 4 The third sub-flow chart of the cluster power generation unit power data metering method, wherein the step of verifying other data within a preset range based on a certain line data of the transmission line and grading the metering nodes according to the verification result includes:

[0086] Step S301: Read the unit distribution map and determine the impedance between each metering node according to the actual record data;

[0087] Step S302: determining a data relationship between each metering node based on the impedance;

[0088] Step S303: reading the collected line data, and selecting the line data in turn as the reference data;

[0089] Step S304: verifying the reference data and other data in sequence according to the determined data relationship, and when the verification result is accurate, increasing the accuracy of the reference data by one;

[0090] Step S305: When all verification processes are completed, the accuracy of each line data is counted, the accuracy is compared with a preset accuracy threshold, and the level of the metering node corresponding to each line data is determined according to the comparison result.

[0091] By reading the unit distribution map and combining it with the existing actual filing data, the impedance of the connecting lines between each unit can be obtained (related to the material, length and other parameters of the actual line, which are regarded as default known data in this application); when the impedance is known, the data relationship between any two metering nodes can be determined in combination with the power analysis law (such as Kirchhoff's law); thus, for each collected line data, the theoretical data at other metering nodes can be calculated from the data relationship, and the accuracy can be obtained by comparing the theoretical data with the actual sampled data.

[0092] The accurate calculation method of this application is: if there is another metering node whose difference between the theoretical data and the actual sampled data is within a preset range, they are considered to be the same. At this time, the accuracy is increased by one, and this process is repeated continuously to obtain the accuracy of each metering node.

[0093] After the accuracy of each sampled metering node is calculated, the level of the corresponding metering node can be determined according to the accuracy. Each time a threshold is reached, a level is determined.

[0094] It is worth mentioning that the unit in this application refers to the power generation unit, and the metering node refers to the line external to the power generation unit.

[0095] Figure 5The fourth sub-flow chart of the cluster power generation unit power data metering method, the step of recursively updating the selection process of the target metering node based on the classification result includes:

[0096] Step S401: Determine the selection probability of the corresponding unit according to the level of each metering node, and insert the unit distribution map;

[0097] Step S402: When randomly selecting a target unit in the unit distribution map, a real-time probability is calculated in real time according to the selection probability of existing units, and the selection process of the target metering node is adjusted by the real-time probability.

[0098] Figure 6 The fifth sub-flow chart of the cluster power generation unit power data metering method, wherein the step of predicting the line data of other metering nodes according to the line data of the target metering node and simultaneously performing visual display includes:

[0099] Step S501: reading the data relationship between each metering node, and determining the data relationship between the target metering node and other metering nodes according to the data relationship;

[0100] Step S502: when the line data of the target metering node is obtained, predicting the line data of other metering nodes according to the data relationship;

[0101] Step S503: converting the line data into color values ​​according to a preset conversion formula, and displaying the converted color values ​​based on the unit distribution diagram.

[0102] After the update and selection process of the target metering node in the above content, the line data of the target metering node is regarded as accurate data. Combined with the calculated data relationship, other data are predicted by the accurate data to obtain the data at all metering nodes. With the help of the preset conversion formula, the data is converted into color values ​​and then displayed in the form of a two-dimensional graph.

[0103] Figure 7 1 is a structural block diagram of a cluster power generation unit power data metering system. In an embodiment of the present invention, a cluster power generation unit power data metering system 10 includes:

[0104] The node setting and numbering module 11 is used to obtain the transmission line of the cluster power generation unit, set the metering nodes in the transmission line network and number them;

[0105] The line data acquisition module 12 is used to select a target metering node from the set metering nodes, send a collection instruction to the target metering node, and receive feedback line data;

[0106] The data verification module 13 is used to verify other data within a preset range based on a certain line data of the transmission line route, and classify the metering nodes according to the verification results;

[0107] A selection process update module 14, used for recursively updating the selection process of the target metering node based on the classification result;

[0108] The prediction and display module 15 is used to predict the line data of other metering nodes according to the line data of the target metering node, and perform visual display simultaneously.

[0109] Furthermore, the node numbering module 11 includes:

[0110] The unit array construction unit is used to obtain the positional relationship of each unit in the cluster power generation unit and construct the unit array based on the positional relationship; the row and column positions of each element in the unit array correspond to each unit;

[0111] The element connection unit is used to obtain the connection relationship between each unit, connect the elements in the unit array, and obtain the unit distribution map; the numbering unit is used to set the metering node on each connection line, and determine the number of the metering node based on the row and column positions at both ends of the connection line.

[0112] Specifically, the line data acquisition module 12 includes:

[0113] Randomly select a unit, which is used to read the unit distribution map, randomly select a target unit in the unit distribution map, and construct a circular area with the target unit as the center and the value determined by the number of its connection lines as the radius;

[0114] A distribution map updating unit is used to subtract the circular area from the unit distribution map to obtain a new unit distribution map, and to repeat the random selection process until the new unit distribution map is empty;

[0115] The data receiving unit is used to read the target metering node corresponding to the target unit, send a collection instruction to the target metering node, and receive feedback line data.

[0116] Furthermore, the data verification module 13 includes:

[0117] The impedance determination unit is used to read the unit distribution map and determine the impedance between each metering node based on the actual record data;

[0118] a data relationship determination unit, configured to determine a data relationship between each metering node based on the impedance;

[0119] A reference selection unit, used for reading the collected line data and selecting the line data in turn as reference data;

[0120] An accuracy increment unit, used to verify the reference data and other data in sequence according to the determined data relationship, and when the verification result is accurate, increment the accuracy of the reference data by one;

[0121] The accuracy comparison unit is used to count the accuracy of each line data when all verification processes are completed, compare the accuracy with a preset accuracy threshold, and determine the level of the metering node corresponding to each line data according to the comparison result.

[0122] The functions that can be achieved by the cluster power generation unit power data metering method are all completed by a computer device, and the computer device includes one or more processors and one or more memories, and at least one program code is stored in the one or more memories. The program code is loaded and executed by the one or more processors to implement the cluster power generation unit power data metering method.

[0123] The processor takes out instructions from the memory one by one, analyzes the instructions, and then completes the corresponding operations according to the instruction requirements, generating a series of control commands, so that the various parts of the computer can automatically, continuously and coordinately move to become an organic whole, realize the input of programs, the input of data, and the calculation and output of results. The arithmetic operations or logical operations generated in this process are all completed by the operator; the memory includes a read-only memory (ROM), which is used to store computer programs, and a protection system is provided outside the memory.

[0124] Exemplarily, the computer program may be divided into one or more modules, one or more modules are stored in a memory and executed by a processor to implement the present invention. One or more modules may be a series of computer program instruction segments capable of implementing specific functions, and the instruction segments are used to describe the execution process of the computer program in a terminal device.

[0125] Those skilled in the art will understand that the description of the above service equipment is merely an example and does not constitute a limitation on the terminal equipment. It may include more or fewer components than described above, or a combination of certain components, or different components, for example, it may include input and output devices, network access devices, buses, etc.

[0126] The processor may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the terminal device, and uses various interfaces and lines to connect various parts of the entire staff terminal.

[0127] The memory can be used to store computer programs and / or modules. The processor can realize various functions of the terminal device by running or executing the computer programs and / or modules stored in the memory and calling the data stored in the memory. The memory can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, an application required for at least one function (such as an information collection template display function, a product information release function, etc.); the data storage area can store data created according to the use of the berth status display system (such as product information collection templates corresponding to different product types, product information that different product providers need to release, etc.). In addition, the memory can include a high-speed random access memory, and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0128] If the module / unit integrated in the terminal device is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable medium. Based on this understanding, the present invention implements all or part of the modules / units in the above-mentioned embodiment system, and can also be completed by instructing the relevant hardware through a computer program. The above-mentioned computer program can be stored in a computer-readable medium, and the computer program can realize the functions of the above-mentioned various system embodiments when executed by the processor. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. Computer-readable media may include: any entity or system that can carry computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electrical carrier signal, telecommunication signal and software distribution medium, etc.

[0129] It should be noted that, in this article, the term "comprises" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or system including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or system. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or system including the element.

[0130] The above are only preferred embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A method for measuring power data of a cluster power generation unit, characterized in that: The method comprises: Obtain the transmission lines of the cluster power generation units, set up metering nodes in the transmission network and number them; Select a target metering node from the set metering nodes, send a collection instruction to the target metering node, and receive feedback line data; Based on the data of a certain line of the transmission line, other data within a preset range are verified, and the metering nodes are graded according to the verification results; The selection process of recursively updating the target metering node based on the classification results; The line data of other metering nodes are predicted based on the line data of the target metering node, and the line data are visualized synchronously.

2. The cluster power generation unit power data metering method according to claim 1, characterized in that: The step of obtaining the transmission line of the cluster power generation unit, setting and numbering the metering nodes in the transmission line network includes: Obtain the positional relationship of each unit in the cluster power generation unit, and construct a unit array based on the positional relationship; the row and column positions of each element in the unit array correspond to each unit; Get the connection relationship of each unit, connect the elements in the unit array, and obtain the unit distribution map; A metering node is set on each connecting line, and the number of the metering node is determined based on the row and column positions at both ends of the connecting line.

3. The cluster power generation unit power data metering method according to claim 1, characterized in that: The step of selecting a target metering node from the set metering nodes, sending a collection instruction to the target metering node, and receiving the feedback line data includes: Read the unit distribution map, randomly select the target unit in the unit distribution map, and construct a circular area with the target unit as the center and the value determined by the number of its connecting lines as the radius; Subtract the circular area from the unit distribution map to obtain a new unit distribution map, and repeat the random selection process until the new unit distribution map is empty; Read the target metering node corresponding to the target unit, send a collection instruction to the target metering node, and receive feedback line data.

4. The cluster power generation unit power data metering method according to claim 3, characterized in that: The step of verifying other data within a preset range based on a certain line data of the transmission line and grading the metering nodes according to the verification result comprises: Read the unit distribution map and determine the impedance between each metering node based on the actual record data; determining a data relationship between each metering node based on the impedance; Read the collected line data, and select the line data in turn as the reference data; Verify the reference data and other data in sequence according to the determined data relationship, and when the verification result is accurate, increase the accuracy of the reference data by one; When all verification processes are completed, the accuracy of each line data is counted, the accuracy is compared with the preset accuracy threshold, and the level of the metering node corresponding to each line data is determined based on the comparison result.

5. The cluster power generation unit power data metering method according to claim 4, characterized in that: The step of recursively updating the selection process of the target metering node based on the classification result includes: Determine the selection probability of the corresponding unit according to the level of each metering node and insert the unit distribution map; When randomly selecting a target unit in the unit distribution map, the real-time probability is calculated in real time according to the selection probability of the existing units, and the selection process of the target metering node is adjusted by the real-time probability.

6. The cluster power generation unit power data metering method according to claim 4, characterized in that: The step of predicting the line data of other metering nodes according to the line data of the target metering node and simultaneously performing visual display comprises: Reading the data relationship between each metering node, and determining the data relationship between the target metering node and other metering nodes according to the data relationship; When the line data of the target metering node is obtained, the line data of other metering nodes are predicted based on the data relationship; The line data is converted into color values ​​according to a preset conversion formula, and the converted color values ​​are displayed based on a unit distribution diagram.

7. A cluster power generation unit power data metering system, characterized in that: The system comprises: The node setting and numbering module is used to obtain the transmission lines of the cluster power generation units, set the metering nodes in the transmission line network and number them; The line data acquisition module is used to select a target metering node from the set metering nodes, send a collection instruction to the target metering node, and receive feedback line data; A data verification module is used to verify other data within a preset range based on a certain line data of the transmission line route, and to classify the metering nodes according to the verification results; A selection process update module, used for recursively updating the selection process of the target metering node based on the classification result; The prediction and display module is used to predict the line data of other metering nodes based on the line data of the target metering node and perform visual display simultaneously.

8. The cluster power generation unit power data metering system according to claim 7, characterized in that: The node setting number module includes: The unit array construction unit is used to obtain the positional relationship of each unit in the cluster power generation unit and construct the unit array based on the positional relationship; the row and column positions of each element in the unit array correspond to each unit; The element connection unit is used to obtain the connection relationship between each unit, connect the elements in the unit array, and obtain the unit distribution map; the numbering unit is used to set the metering node on each connection line, and determine the number of the metering node based on the row and column positions at both ends of the connection line.

9. The cluster power generation unit power data metering system according to claim 7, characterized in that: The line data acquisition module includes: Randomly select a unit, which is used to read the unit distribution map, randomly select a target unit in the unit distribution map, and construct a circular area with the target unit as the center and the value determined by the number of its connection lines as the radius; A distribution map updating unit is used to subtract the circular area from the unit distribution map to obtain a new unit distribution map, and to repeat the random selection process until the new unit distribution map is empty; The data receiving unit is used to read the target metering node corresponding to the target unit, send a collection instruction to the target metering node, and receive feedback line data.

10. The cluster power generation unit power data metering system according to claim 9, characterized in that: The data verification module comprises: The impedance determination unit is used to read the unit distribution map and determine the impedance between each metering node based on the actual record data; a data relationship determination unit, configured to determine a data relationship between each metering node based on the impedance; A reference selection unit, used for reading the collected line data and selecting the line data in turn as reference data; An accuracy increment unit, used to verify the reference data and other data in sequence according to the determined data relationship, and when the verification result is accurate, increment the accuracy of the reference data by one; The accuracy comparison unit is used to count the accuracy of each line data when all verification processes are completed, compare the accuracy with a preset accuracy threshold, and determine the level of the metering node corresponding to each line data according to the comparison result.

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