A power grid phase management system based on the Internet of Things

Abstract

The present invention discloses a power grid phase management system based on the Internet of Things, which relates to the technical field of phase management. The present invention periodically collects phase data of each substation through a first interactive unit, and a second interactive unit sends the request information of the management personnel to a shared storage unit. After the shared storage unit extracts the corresponding phase data according to the request object and time interval, the cloud data reconstruction unit converts it in real time according to the target data format. The analysis and selection unit analyzes the request information of different substations to determine the average demand of each substation based on different phase parameters, and selects the most suitable target data format for each phase parameter in combination with the complexity of converting each data format to corresponding data formats, so that the target data format is deeply matched with the processing requirements in high-frequency request and large-capacity data scenarios, avoiding the problems of processing inefficiency or resource waste caused by improper format selection.

Description

Technical Field

[0001] The present invention relates to the technical field of phase management, and in particular to a power grid phase management system based on the Internet of Things. Background Art

[0002] In the context of the digital transformation of power systems, grid phase management is crucial for ensuring stable power transmission, optimizing power distribution, and maintaining safe system operation. Currently, the industry generally uses cloud storage to share phase data from regional substations. This leverages the cloud's powerful storage and processing capabilities to integrate data and provide analysis and monitoring support for power operations and maintenance. However, due to the differences in sensors and monitoring equipment at substations across the country, the original format of phase data (such as phase angle, phase noise, and other parameters) is highly heterogeneous. Furthermore, the acquisition frequency and data capacity vary significantly across substations, resulting in frequent format conversions when sharing data across substations.

[0003] In existing technologies, data format conversion typically follows fixed rules (such as unified conversion to a single standard format) without dynamic optimization based on each substation's actual request frequency, data capacity, and format conversion complexity (for example, the computational overhead of converting complex string formats to concise numeric formats). This problem is particularly prominent in high-frequency data sharing scenarios: on the one hand, fixed format conversion logic may cause delays in shared feedback data in high-demand substations; on the other hand, the format conversion complexity of phase data in some high-frequency scenarios is relatively high, and frequent conversions will excessively consume cloud computing resources, resulting in inefficient cross-site data sharing.

[0004] In order to solve the above problems, the present invention proposes a solution. Summary of the Invention

[0005] The purpose of the present invention is to provide a power grid phase management system based on the Internet of Things, in order to solve the problems raised in the above background technology.

[0006] The present invention provides a power grid phase management system based on the Internet of Things, comprising:

[0007] The substation terminal is used to exchange phase data between several substations in the target area and the cloud sharing platform. The phase data contains the monitoring values ​​of several phase parameters. The substation terminal includes several branch source modules, and one branch source module corresponds to one substation in the target area.

[0008] The branch source module includes a second interaction unit, which is used to transmit the request information as a request information of the substation to the cloud sharing platform after monitoring the manager of the corresponding substation entering the request information, wherein the request information includes a time interval and a number of request objects;

[0009] A cloud-based sharing platform, configured to provide phase data sharing services for a plurality of substations within a target area, the cloud-based sharing platform comprising an analysis and selection unit and a shared storage unit;

[0010] an analyzing and selecting unit, configured to store the transmitted request information after receiving the request information;

[0011] The analysis and selection unit is further used to analyze the request information of all substations in the target area stored therein, and select the target data format of each phase parameter based on the analysis result;

[0012] Upon receiving a request message from a substation, the shared storage unit is configured to extract a time interval and a plurality of request objects from the request message; for each request object, all phase data of the corresponding substation identified by the request object within the time interval are retrieved from the shared storage unit according to the time interval, and the plurality of phase data retrieved for each request object are used as request retrieval data for the request object;

[0013] Then, the request retrieval data of each request object is subjected to a deconstruction operation to obtain the request reconstructed data of the corresponding request object;

[0014] Request feedback data of the request information is generated according to the extracted request reconstruction data of all request objects, and the request feedback data is transmitted to the corresponding branch source module for storage.

[0015] Furthermore, the branch source module further includes a first interaction unit, which is configured to collect phase data of the corresponding substation at intervals of a preset collection period to obtain the phase data of the substation in the corresponding collection period.

[0016] Furthermore, the request object is an identification number, which is a string of numbers, uppercase letters and special characters.

[0017] Furthermore, the cloud sharing platform also includes a data reconstruction unit. After receiving the phase data of a substation in a collection cycle, the data reconstruction unit performs a reconstruction operation on the phase data according to the target data format of several phase parameters stored in the data reconstruction unit to obtain the phase reconstruction data of the substation in the collection cycle, and transmits the phase reconstruction data to the shared storage unit for storage.

[0018] Furthermore, the steps for performing a deconstruction operation on the request retrieval data of each request object are as follows:

[0019] According to the request of the request object, all monitoring values ​​of each phase parameter in the data are retrieved, and according to the original data format of the phase parameter in the original format information of the substation that transmits the request object, if the original data format is consistent with the target data format of the phase parameter, no processing is performed; otherwise, the data format of all monitoring values ​​is converted into the target data format.

[0020] Compared with the existing technology, it has the following beneficial effects:

[0021] The present invention uses a first interactive unit to periodically collect phase data from each substation. A second interactive unit sends the manager's request information to a shared storage unit. The shared storage unit extracts the corresponding phase data based on the requested object and time interval, and a cloud-based data reconstruction unit converts the data to the target data format in real time. This avoids the format conversion burden caused by limited local device storage resources and differences in data processing capabilities at each substation. By leveraging the powerful computing power of the cloud, this effectively solves the technical bottleneck of traditional solutions where local devices have difficulty handling multi-format, high-concurrency data conversion.

[0022] The present invention analyzes the request information of different substations by analyzing the selected unit. By analyzing the sending frequency of the request information of different substations and the data capacity of the phase data of several substations as reflected in the time interval carried in the request information, the average demand of each substation based on different phase parameters is determined. In combination with the complexity of converting each data format to the corresponding data formats, the most suitable target data format is selected for each phase parameter. In this way, the target data format is deeply matched with the processing requirements in high-frequency request and large-capacity data scenarios, avoiding the problems of processing inefficiency or resource waste caused by improper format selection.

[0023] In the present invention, for the phase data collected by the first interaction unit, the data reconstruction unit reconstructs each phase parameter according to a pre-selected target data format before storage, so that when responding to subsequent requests, the shared storage unit can directly quickly retrieve, deconstruct and generate feedback data based on the optimized format, which greatly shortens the request processing time in high-frequency and high-data capacity scenarios and effectively improves the feedback efficiency of substation request information. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 This is a system block diagram of the present invention. DETAILED DESCRIPTION

[0025] 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.

[0026] See also Figure 1 ,This application provides a power grid phase management system based on the Internet of Things, including a substation terminal and a cloud sharing platform;

[0027] The substation terminal is used to exchange phase data between several substations in the target area and the cloud sharing platform. The phase data includes monitoring values ​​of several phase parameters.

[0028] In this application, phase parameters include acquisition time, phase angle, phase difference, initial phase, phase margin, impedance phase angle, group delay, phase noise, phase jitter, discrete phase state, optical path difference phase and complex signal phase spectrum;

[0029] The substation terminal includes several branch source modules, one branch source module corresponds to a substation in the target area. It should be noted that the types of substations in the target area are different.

[0030] The branch source module includes a first interaction unit and a second interaction unit. The first interaction unit stores a preset collection period. The first interaction unit collects phase data of the corresponding substation at intervals of a preset collection period to obtain phase data of the substation in the corresponding collection period, and transmits the phase data to the cloud sharing platform. It should be noted that different substations in the power system are limited by differences in their own storage resource capacity, data processing capabilities, and business monitoring requirements, and the interval length of their phase data collection periods varies.

[0031] For example, the existing technologies for UHV converter stations, 220kV hub stations, and distribution substations have a request frequency of real-time (50Hz), every minute, and every 15 minutes / event trigger;

[0032] In this application, the monitoring values ​​of each phase parameter in the phase data are collected from various sensors and monitoring equipment deployed in the substation;

[0033] When the administrator of the corresponding substation is detected to have typed in a request message, the second interaction unit transmits the request message as a request message of the substation to the cloud sharing platform. The request message includes a time interval and several request objects. The time interval is used to clearly specify the time range of the phase data requested to be obtained. The request object is an identification number, which can be used to uniquely identify the corresponding substation. In this application, the identification number is a string of numbers, uppercase letters, and special characters.

[0034] A cloud-based sharing platform, configured to provide phase data sharing services for a number of substations within a target area, the cloud-based sharing platform comprising a data reconstruction unit, an analysis and selection unit, and a shared storage unit;

[0035] After receiving the phase data of a substation in each collection cycle, the cloud sharing platform transmits it to the data reconstruction unit;

[0036] The data reconstruction unit stores a target data format based on a plurality of phase parameters of a target area. After receiving the phase data of the substation in the transmitted acquisition period, the data reconstruction unit performs a reconstruction operation on the phase data to obtain phase reconstructed data of the substation in the acquisition period, and transmits the phase reconstructed data to a shared storage unit for storage.

[0037] The steps of performing a reconstruction operation on the phase data are specifically as follows: for any phase parameter in the phase data, extracting all monitoring values ​​of the phase parameter from the phase data, preferentially comparing the data format of the monitoring data with the target data format of the phase parameter for consistency; if the data format of the monitoring data is consistent with the target data format of the phase parameter, then no processing is performed on all monitoring values ​​of the phase parameter; otherwise, the data format of all monitoring values ​​is converted into the target data format according to the target data format of the phase parameter;

[0038] Then, the phase reconstruction data of the substation in the acquisition period is generated according to all monitoring values ​​of all phase parameters in the phase data after data format conversion;

[0039] Each time the cloud sharing platform receives a request message from a substation, it transmits the request message to the shared storage unit and the analysis and selection unit respectively. The shared storage unit stores the original format information of all substations in the target area. The original format information of a substation stores the original data format of all phase parameters of the substation. The original data format refers to the data format of the monitored values ​​of the phase parameters before the reconstruction operation is performed.

[0040] After receiving the request information, the shared storage unit extracts the time interval and several request objects carried therein;

[0041] For each request object, according to the time interval, all phase data of the corresponding strain station identified by the request object within the time interval are retrieved from the shared storage unit, and the phase data retrieved for each request object are used as the request retrieval data of the request object;

[0042] Then, the request retrieval data of each request object is subjected to a deconstruction operation to obtain the request reconstructed data of the corresponding request object;

[0043] Generate request feedback data of the request information based on the extracted request reconstruction data of all request objects, transmit the request feedback data to the corresponding branch source module for storage, and provide data analysis and monitoring support for management personnel;

[0044] The steps for performing a deconstruction operation on the request retrieval data of any request object to obtain the request reconstructed data of the corresponding request object are as follows:

[0045] According to the original data format of the phase parameter in the original format information of the substation transmitting the request object, if the original data format is consistent with the target data format of the phase parameter, no processing is performed; otherwise, the data format of all the monitoring values ​​is converted into the target data format, and all the monitoring values ​​converted into the target data format are used as the requested reconstruction data corresponding to the request object;

[0046] an analyzing and selecting unit, configured to store the transmitted request information after receiving the request information;

[0047] The analysis and selection unit is further configured to analyze the request information of all substations in the target area stored therein, and select the target data format of each phase parameter for the cloud sharing platform based on the analysis results. The analysis steps are as follows:

[0048] S11: Mark all substations in the target area as A1, A2, ..., Aa, where a≥1, and mark all phase parameters contained in the phase data as B1, B2, ..., Bb, where b≥1;

[0049] S12: Mark all request information of substation A1 stored in the selected unit as C1, C2, ..., Cc, where c≥1;

[0050] S13: Extract all request objects contained in the request information C1, C2, ..., Cc in sequence, identify corresponding substations based on all extracted request objects, remove duplicates from all substations, and re-label all remaining substations after removal as D1, D2, ..., Dd, where 1≤d≤a;

[0051] S14: combining the original formats of the phase parameter B1 in the original phase information of substation D1 and substation A1 to obtain a set of phase reconstruction dictionaries for substation A1 based on the phase parameter B1, wherein the original format of the phase parameter B1 carried in the original phase information of substation D1 is used as a key of the phase reconstruction dictionary, and the original format of the phase parameter B1 in the original phase information of substation A1 is used as a value of the phase reconstruction dictionary;

[0052] Similarly, the original phase information of substations D2, D3, ..., Dd and the original format of the phase parameter B1 in the original phase information of substation A1 are combined to obtain d-1 sets of phase reconstruction dictionaries based on the phase parameter B1 relative to substation A1;

[0053] Deduplication is performed on the obtained d groups of phase reconstruction dictionaries, and all the remaining groups of phase reconstruction dictionaries after deduplication are marked as E1, E2, ..., Ee, 1≤e≤d;

[0054] S15: Calculate and obtain the selected evaluation indicators L1, L2, ..., Le of substation A1 based on the phase reconstruction dictionary E1, E2, ..., Ee according to the preset rules and generate the selected benchmark data of the relative phase parameter B1 of substation A1 based on the selected evaluation indicators L1, L2, ..., Le. The calculation rules are as follows:

[0055] S151: Extract all request information having all monitoring values ​​of the phase parameter B1 in the original data format of the key from the request information C1, C2, ..., Cc according to the key of the phase reconstruction dictionary E1, and mark all the extracted request information as F1, F2, ..., Ff, 1≤f≤c respectively;

[0056] S152: Obtaining the original data format of all detection values ​​of all phase parameters B1 in the request information F1, F2, ..., Ff as the request object of the key, identifying the corresponding substations based on all the obtained request objects and deduplicating them, and re-labeling all substations remaining after deduplication as G1, G2, ..., Gg, where 1≤g≤f; g is the total number of substations remaining after deduplication;

[0057] S153: Using formula Calculate and obtain the average demand J1 of substation A1 based on the phase reconstruction dictionary E1. In the formula, Hh is the data capacity of the phase data of substations G1, G2, ..., Gg found according to the time intervals carried in several request messages in request messages F1, F2, ..., Ff. h is represented by the total amount of phase data of substations G1, G2, ..., Gg found according to the time intervals carried in several request messages in request messages F1, F2, ..., Ff. ΔIh is the interval duration of the time when the request information of substations G1, G2, ..., Gg in request messages F1, F2, ..., Ff is stored in the selected analysis unit.

[0058] S154: Calculate and obtain the selected evaluation index L1 of substation A1 based on the phase reconstruction dictionary E1 using the formula L1=J1×ɑ1×β1+K1×ɑ2, where ɑ1 and ɑ2 are the preset first and second proportion factors, K1 is the complexity of the process of converting the data format of the key in the phase reconstruction dictionary E1 to the data format of the corresponding value, which is preset by the management personnel, and β1 is a preset leveling factor used to adjust the calculation dimension of the average demand degree to be consistent with the calculation dimension of the conversion complexity for performing numerical calculations;

[0059] S155: Calculate and obtain the selected evaluation indicators L2, L3, ..., Le of the substation A1 based on the phase reconstruction dictionary E2, E3, ..., Ee in sequence according to S151 to S154;

[0060] generating selected benchmark data of the relative phase parameter B1 of the substation A1 according to the selected evaluation indicators L1, L2, ..., Le of the substation A1 based on the phase reconstruction dictionary E1, E2, ..., Ee;

[0061] S16: According to S14, several sets of phase reconstruction dictionaries based on the phase parameters B2, B3, ..., Bb of the substation A1 are successively generated, and according to S125, selected reference data of the phase parameters B2, B3, ..., Bb of the substation A1 are successively generated;

[0062] S17: Generate selected benchmark data of relative phase parameters B1, B2, ..., Bb of substations A2, A3, ..., Aa in sequence according to S12 to S16;

[0063] S18: Select the target data format of the phase parameter B1 according to the preset selection rule. The selection rule is as follows:

[0064] S181: Traverse the selected reference data of the relative phase parameter B1 of the substations A1, A2, ..., Aa, extract all phase reconstruction dictionaries contained therein, and re-label all the extracted phase reconstruction dictionaries as M1, M2, ..., Mm, where m≥1;

[0065] S182: extracting all selected evaluation indicators contained in the selected benchmark data of the relative phase parameter B1 of the substations A1, A2, ..., Aa according to the phase reconstruction dictionary M1;

[0066] Performing data processing on all the extracted selected evaluation indicators using a discrete point filtering algorithm, and calculating an average value of all the selected evaluation indicators remaining after the data processing, and calibrating the average value as the selected measurement indicator N1 of the phase parameter B1 relative to the phase reconstruction dictionary M1;

[0067] In this application, the discrete point filtering algorithm is the H-score filtering algorithm;

[0068] S183: Calculate and obtain the selected metrics N2, N3, ..., Nm of the phase reconstruction dictionaries M2, M3, ..., Mm of the phase parameter B1 in sequence according to S181 to S182, and select the key in the phase reconstruction dictionary corresponding to the selected metric with the largest value from the selected metric metrics N1, N2, ..., Mm as the target data format of the phase parameter B1;

[0069] S19: selecting target data formats of phase parameters B2, B3, ..., Bb in sequence according to S18, wherein the target data format of phase parameter B2 is selected from all phase reconstruction dictionaries included in the selected reference data of substations A1, A2, ..., Aa relative to phase parameter B2, and the target data formats of the remaining phase parameters are deduced in the same way;

[0070] The analysis and selection unit transmits the target data formats of the selected phase parameters B1, B2, ..., Bb to the data reconstruction unit and the shared storage unit for storage.

[0071] Some of the data in the above formulas are dimensionless and numerically calculated. Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0072] The above embodiments are only used to illustrate the technical method 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 preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A power grid phase management system based on the Internet of Things, characterized in that: include: The substation terminal is used to exchange phase data between several substations in the target area and the cloud sharing platform. The phase data contains the monitoring values ​​of several phase parameters. The substation terminal includes several branch source modules, and one branch source module corresponds to one substation in the target area. The branch source module includes a second interaction unit, which is used to transmit the request information as a request information of the substation to the cloud sharing platform after monitoring the manager of the corresponding substation entering the request information, wherein the request information includes a time interval and a number of request objects; A cloud-based sharing platform, configured to provide phase data sharing services for a plurality of substations within a target area, the cloud-based sharing platform comprising an analysis and selection unit and a shared storage unit; an analyzing and selecting unit, configured to store the transmitted request information after receiving the request information; The analysis and selection unit is further used to analyze the request information of all substations in the target area stored therein, and select the target data format of each phase parameter based on the analysis result; Upon receiving a request message from a substation, the shared storage unit is configured to extract a time interval and a plurality of request objects from the request message; for each request object, all phase data of the corresponding substation identified by the request object within the time interval are retrieved from the shared storage unit according to the time interval, and the plurality of phase data retrieved for each request object are used as request retrieval data for the request object; Then, the request retrieval data of each request object is subjected to a deconstruction operation to obtain the request reconstructed data of the corresponding request object; Generate request feedback data of the request information according to the extracted request reconstruction data of all request objects, and transmit the request feedback data to the corresponding branch source module for storage; The branch source module further includes a first interaction unit, which is configured to collect phase data of the corresponding substation at intervals of a preset collection period to obtain phase data of the substation in the corresponding collection period; The cloud sharing platform also includes a data reconstruction unit. After receiving the phase data of a substation in a collection cycle, the data reconstruction unit performs a reconstruction operation on the phase data according to the target data format of several phase parameters stored in the data reconstruction unit to obtain the phase reconstruction data of the substation in the collection cycle, and transmits the phase reconstruction data to the shared storage unit for storage.

2. The power grid phase management system based on the Internet of Things according to claim 1, characterized in that: The request object is an identification number, which is a string composed of numbers, uppercase letters, and special characters.

3. The power grid phase management system based on the Internet of Things according to claim 1, characterized in that: The steps for selecting the target data format for each phase parameter are as follows: S11: Mark all substations in the target area as A1, A2, ..., Aa, where a≥1, and mark all phase parameters contained in the phase data as B1, B2, ..., Bb, where b≥1; S12: Mark all request information of substation A1 stored in the selected unit as C1, C2, ..., Cc, where c≥1; S13: Extract all request objects contained in the request information C1, C2, ..., Cc in sequence, identify corresponding substations based on all extracted request objects, remove duplicates from all substations, and re-label all remaining substations after removal as D1, D2, ..., Dd, where 1≤d≤a; S14: combining the original formats of the phase parameter B1 in the original phase information of substation D1 and substation A1 to obtain a set of phase reconstruction dictionaries for substation A1 based on the phase parameter B1, wherein the original format of the phase parameter B1 carried in the original phase information of substation D1 is used as a key of the phase reconstruction dictionary; Similarly, the original phase information of substations D2, D3, ..., Dd and the original format of the phase parameter B1 in the original phase information of substation A1 are combined to obtain d-1 groups of phase reconstruction dictionaries based on the phase parameter B1 relative to substation A1; the obtained d groups of phase reconstruction dictionaries are deduplicated, and all the remaining groups of phase reconstruction dictionaries after deduplication are marked as E1, E2, ..., Ee, 1≤e≤d; S15: Calculate and obtain the selected evaluation index of the substation A1 based on the phase reconstruction dictionary E1, E2, ..., Ee and generate the selected benchmark data of the relative phase parameter B1 of the substation A1 based on the selected evaluation index; S16: According to S14, several sets of phase reconstruction dictionaries based on the phase parameters B2, B3, ..., Bb of the substation A1 are successively generated, and according to S125, selected reference data of the phase parameters B2, B3, ..., Bb of the substation A1 are successively generated; S17: Generate selected benchmark data of relative phase parameters B1, B2, ..., Bb of substations A2, A3, ..., Aa in sequence according to S12 to S16; S18: The steps for selecting the target data format for obtaining the phase parameter B1 are as follows: S181: Traverse the selected reference data of the relative phase parameter B1 of the substations A1, A2, ..., Aa, extract all phase reconstruction dictionaries contained therein, and re-label all the extracted phase reconstruction dictionaries as M1, M2, ..., Mm, where m≥1; S182: extracting all selected evaluation indicators contained in the selected benchmark data of the relative phase parameter B1 of the substations A1, A2, ..., Aa according to the phase reconstruction dictionary M1; Performing data processing on all the extracted selected evaluation indicators using a discrete point filtering algorithm, and calculating an average value of all the selected evaluation indicators remaining after the data processing, and calibrating the average value as the selected measurement indicator N1 of the phase parameter B1 relative to the phase reconstruction dictionary M1; S183: Calculate and obtain the selected metrics N2, N3, ..., Nm of the phase reconstruction dictionaries M2, M3, ..., Mm of the phase parameter B1 in sequence according to S181 to S182, and select the key in the phase reconstruction dictionary corresponding to the selected metric with the largest value from the selected metric metrics N1, N2, ..., Mm as the target data format of the phase parameter B1; S19: Select target data formats of phase parameters B2, B3, ..., Bb in sequence according to S18.

4. The power grid phase management system based on the Internet of Things according to claim 3, characterized in that: S15, the steps of generating selected reference data of the relative phase parameter B1 of the substation A1 are as follows: S151: Extract all request information having all monitoring values ​​of the phase parameter B1 in the original data format of the key from the request information C1, C2, ..., Cc according to the key of the phase reconstruction dictionary E1, and mark all the extracted request information as F1, F2, ..., Ff, 1≤f≤c respectively; S152: Obtaining the original data format of all detection values ​​of all phase parameters B1 in the request information F1, F2, ..., Ff as the request object of the key, identifying the corresponding substations based on all the obtained request objects and deduplicating them, and re-labeling all substations remaining after deduplication as G1, G2, ..., Gg, where 1≤g≤f, and g is the total number of substations remaining after deduplication; S153: Using formula Calculate and obtain the average demand J1 of substation A1 based on the phase reconstruction dictionary E1. In the formula, Hh is the data capacity of the phase data of substations G1, G2, ..., Gg found according to the time intervals carried in several request messages in request messages F1, F2, ..., Ff. h is represented by the total amount of phase data of substations G1, G2, ..., Gg found according to the time intervals carried in several request messages in request messages F1, F2, ..., Ff. ΔIh is the interval duration of the time when the request information of substations G1, G2, ..., Gg in request messages F1, F2, ..., Ff is stored in the selected analysis unit. S154: Calculate the selected evaluation index L1 of substation A1 based on the phase reconstruction dictionary E1 using the formula L1=J1×ɑ1×β1+K1×ɑ2, where ɑ1 and ɑ2 are the preset first and second proportion factors, K1 is the complexity of the process of converting the data format of the key in the phase reconstruction dictionary E1 into the data format of the corresponding value, and β1 is the preset leveling factor; S155: According to S151 to S154, the selected evaluation indicators L2, L3, ..., Le of substation A1 based on the phase reconstruction dictionary E2, E3, ..., Ee are calculated in sequence; according to the selected evaluation indicators L1, L2, ..., Le of substation A1 based on the phase reconstruction dictionary E1, E2, ..., Ee, the selected benchmark data of the relative phase parameter B1 of substation A1 are generated.

5. The power grid phase management system based on the Internet of Things according to claim 1, characterized in that: The steps for deconstructing the request retrieval data for each request object are as follows: According to the request of the request object, all monitoring values ​​of each phase parameter in the data are retrieved, and according to the original data format of the phase parameter in the original format information of the substation that transmits the request object, if the original data format is consistent with the target data format of the phase parameter, no processing is performed; otherwise, the data format of all monitoring values ​​is converted into the target data format.

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