A city big data collection system

Abstract

The present invention relates to the technical field of urban power data collection, and in particular to an urban big data collection system, comprising an information acquisition module for periodically acquiring substation information, smart meter information and weather information in a power supply area in a city according to a preset analysis period; a node construction module for constructing substation output parameters and meter change parameters; a substation analysis module for analyzing the output stability of the substation; a meter analysis module for analyzing the load intensity of the meter; a data collection module for analyzing the type of acquired data and collecting the acquired data; a data analysis module for analyzing the collected output parameters and the collected power fluctuations; and a pending analysis module for analyzing the type of acquired data when the type of acquired data is pending data, and iterating the collection process. The present invention realizes the accurate collection of urban power data.

Description

Technical Field

[0001] The present invention relates to the technical field of urban power data collection, and in particular to an urban big data collection system. Background Art

[0002] Urban power information collection technology has a profound background. With the advancement of smart city construction, the real-time, accuracy and efficiency of power data have become key. This technology integrates technologies such as the Internet of Things and big data to achieve comprehensive collection, analysis and optimization of power information, providing strong technical support for urban energy management and promoting sustainable urban development.

[0003] Chinese Patent Publication No.: CN117421567A discloses a power plant energy management method and system applied to cities, including determining power supply mapping blocks for power supply integration characteristics of different regions, and using power supply mapping blocks as collection limit ranges, collecting power operation data in the region, and sorting the power operation data in the power operation data reference array according to preset power supply evaluation rules, constructing a preferred power operation data group, constructing a power operation data generation model according to the preferred power operation data, and using the power operation data generation model to generate a predicted power operation data group to obtain a power supply strategy for the power supply mapping block. This invention realizes the collection of power data in the power supply area to analyze the power supply strategy, but does not realize the analysis and verification of the collected power data, and cannot guarantee the accuracy of the collected power data. There are problems such as low efficiency in analyzing the collected power data and inaccurate data collection. Summary of the invention

[0004] To this end, the present invention provides a city big data collection system to overcome the problems of low efficiency in analyzing collected power data and inaccurate data collection in the prior art.

[0005] To achieve the above object, the present invention provides a city big data collection system, comprising:

[0006] An information acquisition module is used to periodically acquire substation information, smart meter information and weather information within the power supply area of ​​the city according to a preset analysis cycle;

[0007] A node construction module is used to construct substation output parameters and meter change parameters according to substation information and smart meter information;

[0008] Substation analysis module, used to analyze the output stability of the substation according to the substation output parameters;

[0009] The electric meter analysis module is used to analyze the load intensity of the electric meter according to the changing parameters of the electric meter;

[0010] A data acquisition module is used to analyze the type of acquired data according to output stability and load intensity, and when the type of acquired data is normal data, collect substation information, smart meter information and weather information;

[0011] A data analysis module is used to analyze the collected output parameters and the collected power fluctuations based on the collected data;

[0012] The pending analysis module is used to analyze the pending parameters according to the substation output parameters, meter change parameters, weather information, collected output parameters and collected electricity consumption fluctuations when the type of acquired data is pending data. It is also used to analyze the type of acquired data according to the pending parameters and iterate the collection process of substation information, smart meter information and weather information.

[0013] Furthermore, the node construction module constructs the substation output parameter according to the substation type and the substation output voltage, which is recorded as F k (i,j)=U, where F k (i, j) represents the substation output parameter, k represents the substation type, k={1,2,3}, F1(i, j) represents the substation output parameter of the outdoor substation, F2(i, j) represents the substation output parameter of the semi-outdoor substation, F3(i, j) represents the substation output parameter of the indoor substation, i represents the substation number, i∈N + , U represents the output voltage of the substation, j represents the analysis cycle number, j∈N + ;

[0014] The node construction module constructs the meter change parameter according to the associated meter number, meter power consumption and meter number, wherein:

[0015] When M2(n)∈M1(i), the node construction module matches the currently analyzed smart meter information with the substation information number, and constructs the meter change parameter, which is recorded as G(i,j,n)=W(n,j)-W(n,j-1);

[0016] When M2(n) When M1(i), the node construction module does not construct the meter change parameter;

[0017] Where M2(n) represents the meter number, n represents the smart meter number, and n∈N + , M1(i) represents the number of the associated meter, G(i,j,n) represents the meter change parameter, W(n,j) represents the meter power consumption in the current analysis cycle, and W(n,j-1) represents the meter power consumption in the previous analysis cycle.

[0018] Furthermore, the substation analysis module is provided with a fluctuation analysis unit, which is used to calculate the output fluctuation parameter according to the substation output parameter through the output fluctuation analysis formula. The fluctuation analysis unit is provided with the output fluctuation analysis formula as follows:

[0019] Q(j)=|F k (i,j) / F k (i,j-1)-1|

[0020] Where Q(j) represents the output fluctuation parameter, F k (i, j-1) represents the substation output parameter of the previous analysis cycle;

[0021] The substation analysis module is also provided with a stability analysis unit, which is used to compare the output fluctuation parameter with the output fluctuation threshold, and analyze the output stability according to the comparison result, wherein:

[0022] When Q(j)≤q1, the stability analysis unit determines that the output stability of the current analysis period is excellent;

[0023] When q1<Q(j)≤q2, the stability analysis unit determines that the output stability of the current analysis period is good;

[0024] When Q(j)>q2, the stability analysis unit determines that the output stability of the current analysis period is poor;

[0025] Wherein, q1 represents the first output fluctuation threshold, 0.01≤q1≤0.015, and q2 represents the second output fluctuation threshold, 0.02≤q2≤0.025.

[0026] Furthermore, the electric meter analysis module is provided with an electric consumption analysis unit, which is used to calculate the periodic power consumption through an electric consumption analysis formula based on the electric meter change parameters. The electric consumption analysis unit is provided with an electric consumption analysis formula as follows:

[0027]

[0028] Among them, R(i,j) represents the cycle power consumption;

[0029] The power consumption analysis unit calculates the periodic load parameter according to the periodic power consumption through the load analysis formula. The power consumption analysis unit is provided with a load analysis formula as follows:

[0030] Y(i,j)=R(i,j) / [N(i)×F k (i,j)]

[0031] Among them, Y(i,j) represents the periodic load parameter, and N(i) represents the number of corresponding meter numbers in the substation;

[0032] The electric meter analysis module is also provided with a load analysis unit, which is used to compare the periodic load parameter with the periodic load threshold, and analyze the load intensity according to the comparison result, wherein:

[0033] When Y(i,j)≤y1, the load analysis unit determines that the load intensity of the current analysis period is low load;

[0034] When y1<Y(i,j)≤y2, the load analysis unit determines that the load intensity of the current analysis period is medium load;

[0035] When Y(i,j)>y2, the load analysis unit determines that the load intensity of the current analysis period is a high load;

[0036] Wherein, y1 represents the first cycle load threshold, 5≤y1≤10, and y2 represents the second cycle load threshold, 15≤y2≤30.

[0037] Further, the data acquisition module collects substation information, smart meter information and weather information according to output stability and load intensity, wherein;

[0038] When the output stability is excellent, the data acquisition module determines that the type of acquired data is normal data, and collects substation information, smart meter information and weather information;

[0039] When the output stability is good and the load intensity is low load, the data acquisition module determines that the type of acquired data is normal data, and collects substation information, smart meter information and weather information;

[0040] When the output stability is good and the load intensity is medium load or high load, the data acquisition module determines that the type of acquired data is pending data, and does not collect substation information, smart meter information and weather information;

[0041] When the output stability is poor, the data acquisition module determines that the type of acquired data is pending data, and does not collect substation information, smart meter information and weather information.

[0042] Furthermore, the data analysis module calculates the collection output parameters through a first collection analysis formula according to the collected substation information and weather information. The data analysis module is provided with a first collection analysis formula as follows:

[0043]

[0044] The data analysis module calculates the collected power consumption fluctuation through the second collection and analysis formula according to the collected smart meter information. The data analysis module is provided with the second collection and analysis formula as follows:

[0045]

[0046] Among them, A2(i) represents the collected electricity fluctuation, and r represents the collected electricity mean.

[0047] Furthermore, the pending analysis module is provided with a pending analysis unit, which is used to calculate the pending parameters according to the substation output parameters and the periodic power consumption through the pending analysis formula, and the pending analysis unit is provided with the pending analysis formula as follows:

[0048] B(k,i,j)=R(i,j) / F k (i,j)×e Q(j)

[0049] Among them, B(k,i,j) represents the parameters to be determined.

[0050] Furthermore, the pending analysis module is also provided with a collection analysis unit, which is used to analyze the output impact rate through an impact analysis formula according to the collected output parameters. The collection analysis unit is provided with an impact analysis formula as follows:

[0051]

[0052] Among them, ak represents the output influence rate, a1 represents the first output influence rate, a2 represents the second output influence rate, a3 represents the third output influence rate, Z1(j) represents the precipitation, Z2(j) represents the temperature, A1(1,i) represents the collected output parameters of the substation type being an open-air substation, A1(2,i) represents the collected output parameters of the substation type being a semi-open-air substation, and A1(3,i) represents the collected output parameters of the substation type being an indoor substation;

[0053] The acquisition and analysis unit calculates the acquisition output fluctuation according to the acquisition output parameter and the acquired smart meter information through the acquisition fluctuation analysis formula. The acquisition and analysis unit is provided with the following acquisition fluctuation analysis formula:

[0054]

[0055] Among them, H(i,j) represents the collected output fluctuation.

[0056] Furthermore, the pending analysis module is further provided with a pending adjustment unit, which is used to adjust the analysis process of the pending parameters according to the output impact rate and weather information, wherein:

[0057] When Z1(j)>0, the pending adjustment unit adjusts the analysis process of the pending parameter, and the adjusted pending parameter is B1(k,i,j), and B1(k,i,j)=B(k,i,j)×ak×e Z1(j) ;

[0058] When Z2(j)>z, the pending adjustment unit adjusts the analysis process of the pending parameter, and the adjusted pending parameter is B1(k,i,j), and B1(k,i,j)=B(k,i,j)×ak×lg(|Z2(j)|+1);

[0059] When Z1(j)=0 and Z1(j)≤z, the pending adjustment unit does not adjust the analysis process of the pending parameter;

[0060] The pending analysis module is also provided with a pending optimization unit, which is used to optimize the adjustment process of the pending parameter according to the collected output fluctuation. The optimized pending parameter is B2(k,i,j), and B2(k,i,j)=B1(k,i,j)×|F k (i,j) / H(i,j)-1| / Q(j).

[0061] Furthermore, the pending analysis module is further provided with a type analysis unit, which is used to compare the pending parameters with the pending thresholds, and analyze the type of acquired data according to the comparison results, wherein:

[0062] When B(k,i,j)>b, the type analysis unit determines that the type of the acquired data is abnormal data;

[0063] When B(k,i,j)≤b, the type analysis unit determines that the type of the acquired data is normal data;

[0064] Wherein, b represents the threshold to be determined, and b=A1(k,i)×[r+A2(i)]×a3 is set.

[0065] Compared with the prior art, the beneficial effect of the present invention lies in that the information acquisition module acquires the substation information, smart meter information and weather information to improve the accuracy of information acquisition, thereby improving the system's analysis efficiency of the collected power data and improving the accuracy of data collection. The node construction module analyzes the substation information and the smart meter information to construct the substation output parameters and the meter change parameters, and uses the substation output parameters to represent the output voltage data of each substation, and uses the meter change parameters to represent the change amount of each smart meter data, so as to construct a data storage representation method to make the data clearer, thereby improving the system's analysis efficiency of the collected power data and improving the accuracy of data collection. The substation analysis module analyzes the substation output parameters to analyze the output stability of the substation and the fluctuation of the substation output voltage, thereby improving the system's analysis efficiency of the collected power data and improving the accuracy of data collection. The meter analysis module analyzes the meter change parameters to analyze the meter load intensity and represent each cycle. The power consumption within, thereby improving the system's analysis efficiency of the collected power data, and improving the accuracy of data collection. The data acquisition module analyzes the output stability and load intensity to analyze the type of acquired data, thereby realizing the collection of normal data, thereby improving the system's analysis efficiency of the collected power data, and improving the accuracy of data collection. The data analysis module analyzes the collected data to analyze the collected output parameters and the collected power fluctuations. The collected output parameters are used to represent the size of the output voltage when the substation information is normal data, and the collected power fluctuations are used to represent the power consumption fluctuations when the smart meter information is normal data, thereby improving the system's analysis efficiency of the collected power data, and improving the accuracy of data collection. The pending analysis module analyzes the type of acquired data, substation output parameters, meter change parameters, weather information, collected output parameters and collected power fluctuations to analyze the pending parameters, thereby analyzing the type of acquired data, thereby improving the system's analysis efficiency of the collected power data, and improving the accuracy of data collection. BRIEF DESCRIPTION OF THE DRAWINGS

[0066] Figure 1 This is a structural block diagram of the city big data collection system of this embodiment;

[0067] Figure 2 This is a structural block diagram of the substation analysis module of this embodiment;

[0068] Figure 3 is a structural block diagram of the electric meter analysis module of this embodiment;

[0069] Figure 4 This is a structural block diagram of the analysis module to be determined in this embodiment. DETAILED DESCRIPTION

[0070] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0071] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0072] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0073] See also Figure 1 As shown, it is a city big data collection system of this embodiment, including:

[0074] An information acquisition module is used to periodically acquire substation information, smart meter information and weather information in a power supply area in a city according to a preset analysis cycle, wherein the substation information includes substation type, substation output voltage and associated meter number, the smart meter information includes meter power consumption and meter number, the substation type includes open-air substation, semi-open-air substation and indoor substation, the weather information includes precipitation and temperature, the power supply area in the city is a power supply area on the same power supply line in the city, the number of the power supply areas is at least one, and the analysis of the power supply area information in the city in this embodiment is a power supply line in the city. The power supply area on the grid, the substation information is obtained by importing data from the substation management system, the smart meter information is obtained by importing data from the smart meter, the weather information is obtained by querying a weather website, the unit of the substation output voltage is V, the unit of the meter power consumption is kw / h, the unit of the precipitation is m, the unit of the temperature is °C, the preset analysis period in this embodiment is set to 3 minutes, the setting of the preset analysis period is not specifically limited in this embodiment, and can be freely set by those skilled in the art, and the duration of the preset analysis period can also be set to 1 minute, 5 minutes, 10 minutes, etc.;

[0075] A node construction module, used to construct substation output parameters and meter change parameters according to substation information and smart meter information, the node construction module is connected to the information acquisition module;

[0076] A substation analysis module, used for analyzing the output stability of the substation according to the substation output parameters, the substation analysis module is connected to the node construction module;

[0077] An electric meter analysis module, used for analyzing the load intensity of the electric meter according to the electric meter change parameters, the electric meter analysis module is connected to the node construction module;

[0078] A data acquisition module, used to analyze the type of acquired data according to output stability and load intensity, and when the type of acquired data is normal data, collect substation information, smart meter information and weather information, the data acquisition module is connected to the substation analysis module and the meter analysis module, and the types of acquired data include normal data, pending data and abnormal data;

[0079] A data analysis module, used to analyze the collected output parameters and the collected power fluctuations according to the collected data, the data analysis module is connected to the data collection module;

[0080] The pending analysis module is used to analyze the pending parameters according to the substation output parameters, meter change parameters, weather information, collected output parameters and collected electricity consumption fluctuations when the type of the acquired data is pending data. It is also used to analyze the type of acquired data according to the pending parameters and iterate the collection process of substation information, smart meter information and weather information. The pending analysis module is connected to the data analysis module.

[0081] See also Figure 2 As shown, the substation analysis module includes:

[0082] A fluctuation analysis unit, used to analyze output fluctuation parameters according to the substation output parameters;

[0083] The stability analysis unit is used to analyze the output stability according to the output fluctuation parameter, and the stability analysis unit is connected to the fluctuation analysis unit.

[0084] See also Figure 3 As shown, the electric meter analysis module includes:

[0085] The power consumption analysis unit is used to analyze the periodic power consumption according to the change parameters of the electric meter, and is also used to analyze the periodic load parameters according to the periodic power consumption;

[0086] The load analysis unit is used to analyze the load intensity according to the periodic power consumption, and the load analysis unit is connected to the power consumption analysis unit.

[0087] See also Figure 4 As shown, the pending analysis module includes:

[0088] A pending analysis unit is used to analyze the pending parameters according to the substation output parameters and the periodic power consumption;

[0089] A collection and analysis unit, used to analyze the output influence rate according to the collection output parameters, and also used to analyze the collection output fluctuation according to the collection output parameters and the collected smart meter information, the collection and analysis unit is connected to the pending analysis unit;

[0090] A pending adjustment unit, used to adjust the analysis process of the pending parameters according to the output impact rate and weather information, and the pending adjustment unit is connected to the acquisition and analysis unit;

[0091] A pending optimization unit is used to optimize the adjustment process of the pending parameters according to the collected output fluctuations, and the pending optimization unit is connected to the pending adjustment unit;

[0092] A type analysis unit, used for analyzing the type of acquired data according to the to-be-determined parameters, the type analysis unit being connected to the to-be-determined optimization unit;

[0093] The collection iteration unit is used to iterate the collection process of substation information, smart meter information and weather information, and the collection iteration unit is connected to the type analysis unit.

[0094] Specifically, in this embodiment, the information acquisition module acquires substation information, smart meter information and weather information to improve the accuracy of information acquisition, thereby improving the system's analysis efficiency of collected power data and improving the accuracy of data collection. The node construction module analyzes the substation information and smart meter information to construct substation output parameters and meter change parameters, and uses the substation output parameters to represent the output voltage data of each substation, and uses the meter change parameters to represent the change amount of each smart meter data, so as to construct a data storage representation method to make the data clearer, thereby improving the system's analysis efficiency of collected power data and improving the accuracy of data collection. The substation analysis module analyzes the substation output parameters to analyze the output stability of the substation and the fluctuation of the substation output voltage, thereby improving the system's analysis efficiency of collected power data and improving the accuracy of data collection. The meter analysis module analyzes the meter change parameters to analyze the load intensity of the meter and represent the power consumption in each cycle. , thereby improving the system's analysis efficiency of the collected power data and the accuracy of data collection. The data acquisition module analyzes the output stability and load intensity to analyze the type of acquired data, thereby realizing the collection of normal data, thereby improving the system's analysis efficiency of the collected power data and the accuracy of data collection. The data analysis module analyzes the collected data to analyze the collected output parameters and the collected power fluctuations. The collected output parameters are used to represent the output voltage when the substation information is normal data, and the collected power fluctuations are used to represent the power consumption fluctuations when the smart meter information is normal data, thereby improving the system's analysis efficiency of the collected power data and the accuracy of data collection. The pending analysis module analyzes the type of acquired data, substation output parameters, meter change parameters, weather information, collected output parameters and collected power fluctuations to analyze the pending parameters, thereby analyzing the type of acquired data, thereby improving the system's analysis efficiency of the collected power data and the accuracy of data collection.

[0095] Specifically, the node construction module in this embodiment constructs the substation output parameter according to the substation type and the substation output voltage, which is recorded as F k (i,j)=U, where F k (i, j) represents the substation output parameter, k represents the substation type, k={1,2,3}, F1(i, j) represents the substation output parameter of the outdoor substation, F2(i, j) represents the substation output parameter of the semi-outdoor substation, F3(i, j) represents the substation output parameter of the indoor substation, i represents the substation number, i∈N + , U represents the output voltage of the substation, j represents the analysis cycle number, j∈N + .

[0096] Specifically, the node construction module in this embodiment constructs the meter change parameter according to the associated meter number, meter power consumption and meter number, wherein:

[0097] When M2(n)∈M1(i), the node construction module matches the currently analyzed smart meter information with the substation information number, and constructs the meter change parameter, which is recorded as G(i,j,n)=W(n,j)-W(n,j-1);

[0098] When M2(n) When M1(i), the node construction module does not construct the meter change parameter;

[0099] Where M2(n) represents the meter number, n represents the smart meter number, and n∈N + , M1(i) represents the number of the associated meter, G(i,j,n) represents the meter change parameter, W(n,j) represents the meter power consumption in the current analysis cycle, and W(n,j-1) represents the meter power consumption in the previous analysis cycle.

[0100] Specifically, the fluctuation analysis unit in this embodiment calculates the output fluctuation parameter according to the output parameter of the transformer using the output fluctuation analysis formula. The fluctuation analysis unit is provided with the output fluctuation analysis formula as follows:

[0101] Q(j)=|F k (i,j) / F k (i,j-1)-1|

[0102] Where Q(j) represents the output fluctuation parameter, F k (i, j-1) represents the substation output parameters of the previous analysis cycle.

[0103] Specifically, in this embodiment, the fluctuation analysis unit analyzes the substation output parameters to analyze the output fluctuation parameters, and uses the output fluctuation parameters to represent the fluctuation of the substation output voltage in adjacent analysis cycles, thereby improving the system's analysis efficiency of the collected power data and improving the accuracy of data collection.

[0104] Specifically, the stability analysis unit in this embodiment compares the output fluctuation parameter with the output fluctuation threshold, and analyzes the output stability according to the comparison result, wherein:

[0105] When Q(j)≤q1, the stability analysis unit determines that the output stability of the current analysis period is excellent;

[0106] When q1<Q(j)≤q2, the stability analysis unit determines that the output stability of the current analysis period is good;

[0107] When Q(j)>q2, the stability analysis unit determines that the output stability of the current analysis period is poor;

[0108] Wherein, q1 represents the first output fluctuation threshold, 0.01≤q1≤0.015, q2 represents the second output fluctuation threshold, 0.02≤q2≤0.025. It can be understood that the output fluctuation threshold is not specifically limited in this embodiment, and can be freely set by those skilled in the art as long as the analysis of output stability is satisfied. The optimal values ​​of the output fluctuation threshold are: q1=0.01, q2=0.02.

[0109] Specifically, the power consumption analysis unit in this embodiment calculates the periodic power consumption through the power consumption analysis formula based on the meter change parameters. The power consumption analysis unit is provided with the following power consumption analysis formula:

[0110]

[0111] Among them, R(i,j) represents the cycle power consumption.

[0112] Specifically, the power consumption analysis unit in this embodiment calculates the periodic load parameter according to the periodic power consumption through the load analysis formula. The power consumption analysis unit is provided with a load analysis formula as follows:

[0113] Y(i,j)=R(i,j) / [N(i)×F k (i,j)]

[0114] Among them, Y(i,j) represents the periodic load parameter, and N(i) represents the number of corresponding meter numbers in the substation.

[0115] Specifically, in this embodiment, the electricity consumption analysis unit generates change parameters of the electric meter to analyze the periodic load parameters, and the periodic load parameters are used to represent the load size of the smart meter in each analysis period, thereby improving the system's analysis efficiency of the collected power data and improving the accuracy of data collection.

[0116] Specifically, the load analysis unit in this embodiment compares the periodic load parameter with the periodic load threshold, and analyzes the load intensity according to the comparison result, wherein:

[0117] When Y(i,j)≤y1, the load analysis unit determines that the load intensity of the current analysis period is low load;

[0118] When y1<Y(i,j)≤y2, the load analysis unit determines that the load intensity of the current analysis period is medium load;

[0119] When Y(i,j)>y2, the load analysis unit determines that the load intensity of the current analysis period is a high load;

[0120] Wherein, y1 represents the first cycle load threshold, 5≤y1≤10, y2 represents the second cycle load threshold, 15≤y2≤30. It can be understood that the value of the cycle load threshold is not specifically limited in this embodiment, and those skilled in the art can freely set it as long as the analysis of the load intensity is satisfied. The optimal value of the cycle load threshold is: y1=8, y2=20.

[0121] Specifically, the data acquisition module in this embodiment collects substation information, smart meter information and weather information according to output stability and load intensity, wherein;

[0122] When the output stability is excellent, the data acquisition module determines that the type of acquired data is normal data, and collects substation information, smart meter information and weather information;

[0123] When the output stability is good and the load intensity is low load, the data acquisition module determines that the type of acquired data is normal data, and collects substation information, smart meter information and weather information;

[0124] When the output stability is good and the load intensity is medium load or high load, the data acquisition module determines that the type of acquired data is pending data, and does not collect substation information, smart meter information and weather information;

[0125] When the output stability is poor, the data acquisition module determines that the type of acquired data is pending data, and does not collect substation information, smart meter information and weather information.

[0126] Specifically, the data analysis module in this embodiment calculates the collection output parameter through the first collection analysis formula according to the collected substation information and weather information. The data analysis module is provided with the first collection analysis formula as follows:

[0127]

[0128] Wherein, A1(k,i) represents the collected output parameters, J represents the set of analysis cycle numbers for collecting substation information and smart meter information, and NJ represents the number of analysis cycle numbers of collected substation information and smart meter information.

[0129] Specifically, the data analysis module in this embodiment calculates the collected power consumption fluctuation according to the collected smart meter information through the second collection and analysis formula. The data analysis module is provided with the second collection and analysis formula as follows:

[0130]

[0131] Among them, A2(i) represents the collected electricity fluctuation, and r represents the collected electricity mean.

[0132] Specifically, the undetermined analysis unit in this embodiment calculates the undetermined parameter according to the substation output parameter and the periodic power consumption through the undetermined analysis formula, and the undetermined analysis unit is provided with the undetermined analysis formula as follows:

[0133] B(k,i,j)=R(i,j) / F k (i,j)×e Q(j)

[0134] Among them, B(k,i,j) represents the parameters to be determined.

[0135] Specifically, in this embodiment, the pending analysis unit analyzes the substation output parameters and periodic power consumption to calculate the pending parameters, and uses the pending parameters to represent the relationship between the substation output voltage and power consumption in the current analysis period, thereby improving the system's analysis efficiency of the collected power data and improving the accuracy of data collection.

[0136] Specifically, the acquisition and analysis unit in this embodiment analyzes the output impact rate according to the acquisition output parameter through the impact analysis formula, and the acquisition and analysis unit is provided with the impact analysis formula as follows:

[0137]

[0138] Among them, ak represents the output influence rate, a1 represents the first output influence rate, a2 represents the second output influence rate, a3 represents the third output influence rate, Z1(j) represents the precipitation, Z2(j) represents the temperature, A1(1,i) represents the collection output parameter of the substation type being an open-air substation, A1(2,i) represents the collection output parameter of the substation type being a semi-open-air substation, and A1(3,i) represents the collection output parameter of the substation type being an indoor substation.

[0139] Specifically, the acquisition and analysis unit in this embodiment calculates the acquisition output fluctuation according to the acquisition output parameter and the acquired smart meter information through the acquisition fluctuation analysis formula. The acquisition and analysis unit is provided with the following acquisition fluctuation analysis formula:

[0140]

[0141] Among them, H(i,j) represents the collected output fluctuation.

[0142] Specifically, in this embodiment, the acquisition and analysis unit analyzes the collected output parameters to analyze the output impact rate, and uses the output impact rate to represent the fluctuation of the operating data of different types of transformers in various environments, thereby improving the system's analysis efficiency of the collected power data and improving the accuracy of data collection. The acquisition and analysis unit analyzes the collected output parameters and the collected smart meter information to analyze the collected output fluctuation, and uses the collected output fluctuation to represent the fluctuation relationship between the collected smart meter information and the substation output voltage, thereby improving the system's analysis efficiency of the collected power data and improving the accuracy of data collection.

[0143] Specifically, the pending adjustment unit in this embodiment adjusts the analysis process of the pending parameters according to the output impact rate and weather information, wherein:

[0144] When Z1(j)>0, the pending adjustment unit adjusts the analysis process of the pending parameter, and the adjusted pending parameter is B1(k,i,j), and B1(k,i,j)=B(k,i,j)×ak×e Z1(j) ;

[0145] When Z2(j)>z, the pending adjustment unit adjusts the analysis process of the pending parameter, and the adjusted pending parameter is B1(k,i,j), and B1(k,i,j)=B(k,i,j)×ak×lg(|Z2(j)|+1);

[0146] When Z1(j)=0 and Z1(j)≤z, the pending adjustment unit does not adjust the analysis process of the pending parameter;

[0147] Wherein, z represents the temperature threshold, 25≤z≤40. It is understandable that the value of the temperature threshold is not specifically limited in this embodiment, and those skilled in the art can freely set it as long as the adjustment of the parameters to be determined is satisfied. The best value of the temperature threshold is: z=30.

[0148] Specifically, in this embodiment, the output impact rate and weather information are analyzed by the pending adjustment unit to adjust the analysis process of the pending parameters, so that the adjusted pending parameters are correlated with the substation type and weather information, thereby improving the system's analysis efficiency of the collected power data and improving the accuracy of data collection.

[0149] Specifically, the pending optimization unit in this embodiment optimizes the adjustment process of the pending parameter according to the collected output fluctuation, and the optimized pending parameter is B2(k,i,j), and B2(k,i,j)=B1(k,i,j)×|F k (i,j) / H(i,j)-1| / Q(j).

[0150] Specifically, in this embodiment, the pending optimization unit analyzes the collected output fluctuations to optimize the adjustment process of the pending parameters, so that the optimized pending parameters are related to the fluctuations of the collected data, thereby improving the system's analysis efficiency of the collected power data and improving the accuracy of data collection.

[0151] Specifically, the type analysis unit in this embodiment compares the undetermined parameter with the undetermined threshold, and analyzes the type of acquired data according to the comparison result, wherein:

[0152] When B(k,i,j)>b, the type analysis unit determines that the type of the acquired data is abnormal data;

[0153] When B(k,i,j)≤b, the type analysis unit determines that the type of the acquired data is normal data;

[0154] Wherein, b represents the threshold to be determined, and b=A1(k,i)×[r+A2(i)]×a3 is set.

[0155] Specifically, in this implementation, the type analysis unit analyzes the parameters to be determined to analyze the type of acquired data, and determines whether the parameters to be determined currently are within the threshold range corresponding to the collected data, thereby determining whether the data is abnormal data, thereby improving the system's analysis efficiency for the collected power data and improving the accuracy of data collection.

[0156] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

Claims

1. A city big data collection system, characterized in that: include: An information acquisition module is used to periodically acquire substation information, smart meter information and weather information within the power supply area of ​​the city according to a preset analysis cycle; A node construction module is used to construct substation output parameters and meter change parameters according to substation information and smart meter information; Substation analysis module, used to analyze the output stability of the substation according to the substation output parameters; The electric meter analysis module is used to analyze the load intensity of the electric meter according to the changing parameters of the electric meter; A data acquisition module is used to analyze the type of acquired data according to output stability and load intensity, and when the type of acquired data is normal data, collect substation information, smart meter information and weather information; A data analysis module is used to analyze the collected output parameters and the collected power fluctuations based on the collected data; The pending analysis module is used to analyze the pending parameters according to the substation output parameters, meter change parameters, weather information, collection output parameters and collection power fluctuations when the type of the acquired data is pending data. It is also used to analyze the type of acquired data according to the pending parameters and iterate the collection process of substation information, smart meter information and weather information. The data acquisition module collects substation information, smart meter information and weather information according to output stability and load intensity, wherein; When the output stability is excellent, the data acquisition module determines that the type of acquired data is normal data, and collects substation information, smart meter information and weather information; When the output stability is good and the load intensity is low load, the data acquisition module determines that the type of acquired data is normal data, and collects substation information, smart meter information and weather information; When the output stability is good and the load intensity is medium load or high load, the data acquisition module determines that the type of acquired data is pending data, and does not collect substation information, smart meter information and weather information; When the output stability is poor, the data acquisition module determines that the type of acquired data is pending data, and does not collect substation information, smart meter information and weather information; The data analysis module calculates the collection output parameters through the first collection analysis formula according to the collected substation information and weather information. The data analysis module is provided with the first collection analysis formula as follows: ； Where A1(k,i) represents the collected output parameters, J represents the set of analysis cycle numbers for collecting substation information and smart meter information, NJ represents the number of analysis cycle numbers for collected substation information and smart meter information, and F k (i,j) represents the substation output parameter, k represents the substation type, i represents the substation number, i∈N + , U represents the output voltage of the substation, j represents the analysis cycle number, j∈N + ; The data analysis module calculates the collected power consumption fluctuation through the second collection and analysis formula according to the collected smart meter information. The data analysis module is provided with the second collection and analysis formula as follows: ； Among them, A2(i) represents the collected power consumption fluctuation, r represents the collected power consumption mean, and R(i,j) represents the periodic power consumption; The pending analysis module is provided with a pending analysis unit, which is used to calculate the pending parameters according to the substation output parameters and the periodic power consumption through the pending analysis formula. The pending analysis unit is provided with the pending analysis formula as follows: B(k,i,j)=R(i,j) / F k (i,j)×e Q(j) Among them, B(k,i,j) represents the unknown parameter, Q(j) represents the output fluctuation parameter; The pending analysis module is further provided with a collection and analysis unit, which is used to analyze the output impact rate through an impact analysis formula according to the collected output parameters. The collection and analysis unit is provided with an impact analysis formula as follows: ； Among them, ak represents the output influence rate, a1 represents the first output influence rate, a2 represents the second output influence rate, a3 represents the third output influence rate, Z1(j) represents the precipitation, Z2(j) represents the temperature, A1(1,i) represents the collected output parameters of the substation type being an open-air substation, A1(2,i) represents the collected output parameters of the substation type being a semi-open-air substation, and A1(3,i) represents the collected output parameters of the substation type being an indoor substation; The acquisition and analysis unit calculates the acquisition output fluctuation according to the acquisition output parameter and the acquired smart meter information through the acquisition fluctuation analysis formula. The acquisition and analysis unit is provided with the following acquisition fluctuation analysis formula: ； Among them, H(i,j) represents the collected output fluctuation, and Y(i,j) represents the periodic load parameter; The pending analysis module is also provided with a pending adjustment unit, which is used to adjust the analysis process of the pending parameters according to the output impact rate and weather information, wherein: When Z1(j)>0, the pending adjustment unit adjusts the analysis process of the pending parameter, and the adjusted pending parameter is B1(k,i,j), and B1(k,i,j)=B(k,i,j)×ak×e Z1(j) ; When Z2(j)>z, the pending adjustment unit adjusts the analysis process of the pending parameter, and the adjusted pending parameter is B1(k,i,j), and B1(k,i,j)=B(k,i,j)×ak×lg(|Z2(j)|+1); When Z1(j)=0 and Z1(j)≤z, the pending adjustment unit does not adjust the analysis process of the pending parameter; Wherein, z represents the temperature threshold; The pending analysis module is also provided with a pending optimization unit, which is used to optimize the adjustment process of the pending parameter according to the collected output fluctuation. The optimized pending parameter is B2(k,i,j), and B2(k,i,j)=B1(k,i,j)×|F k (i,j) / H(i,j)-1| / Q(j); The pending analysis module is further provided with a type analysis unit, which is used to compare the pending parameters with the pending thresholds, and analyze the type of acquired data according to the comparison results, wherein: When B(k,i,j)>b, the type analysis unit determines that the type of the acquired data is abnormal data; When B(k,i,j)≤b, the type analysis unit determines that the type of the acquired data is normal data; Wherein, b represents the threshold to be determined, and b=A1(k,i)×[r+A2(i)]×a3 is set.

2. The urban big data collection system according to claim 1, characterized in that: The node construction module constructs the substation output parameters according to the substation type and the substation output voltage, denoted as F k (i, j) = U, where k = {1, 2, 3}, F1 (i, j) represents the substation output parameter when the substation type is an open-air substation, F2 (i, j) represents the substation output parameter when the substation type is a semi-open-air substation, and F3 (i, j) represents the substation output parameter when the substation type is an indoor substation; The node construction module constructs the meter change parameter according to the associated meter number, meter power consumption and meter number, wherein: When M2(n)∈M1(i), the node construction module matches the currently analyzed smart meter information with the substation information number, and constructs the meter change parameter, which is recorded as G(i,j,n)=W(n,j)-W(n,j-1); When M2(n)∉M1(i), the node construction module does not construct the meter change parameter; Where M2(n) represents the meter number, n represents the smart meter number, and n∈N + , M1(i) represents the number of the associated meter, G(i,j,n) represents the meter change parameter, W(n,j) represents the meter power consumption in the current analysis cycle, and W(n,j-1) represents the meter power consumption in the previous analysis cycle.

3. The urban big data collection system according to claim 2, characterized in that: The substation analysis module is provided with a fluctuation analysis unit, which is used to calculate the output fluctuation parameter according to the substation output parameter through the output fluctuation analysis formula. The fluctuation analysis unit is provided with the output fluctuation analysis formula as follows: Q(j)=|F k (i,j) / F k (i,j-1)-1| Among them, F k (i, j-1) represents the substation output parameter of the previous analysis cycle; The substation analysis module is also provided with a stability analysis unit, which is used to compare the output fluctuation parameter with the output fluctuation threshold, and analyze the output stability according to the comparison result, wherein: When Q(j)≤q1, the stability analysis unit determines that the output stability of the current analysis period is excellent; When q1<Q(j)≤q2, the stability analysis unit determines that the output stability of the current analysis period is good; When Q(j)>q2, the stability analysis unit determines that the output stability of the current analysis period is poor; Wherein, q1 represents the first output fluctuation threshold, 0.01≤q1≤0.015, and q2 represents the second output fluctuation threshold, 0.02≤q2≤0.

025.

4. The urban big data collection system according to claim 3, characterized in that: The electric meter analysis module is provided with an electric consumption analysis unit, which is used to calculate the periodic power consumption according to the electric meter change parameters through the electric consumption analysis formula. The electric consumption analysis unit is provided with the electric consumption analysis formula as follows: ； The power consumption analysis unit calculates the periodic load parameter according to the periodic power consumption through the load analysis formula. The power consumption analysis unit is provided with a load analysis formula as follows: Y(i,j)=R(i,j) / [N(i)×F k (i,j)] Among them, Y(i,j) represents the periodic load parameter, and N(i) represents the number of corresponding meter numbers in the substation; The electric meter analysis module is also provided with a load analysis unit, which is used to compare the periodic load parameter with the periodic load threshold, and analyze the load intensity according to the comparison result, wherein: When Y(i,j)≤y1, the load analysis unit determines that the load intensity of the current analysis period is low load; When y1<Y(i,j)≤y2, the load analysis unit determines that the load intensity of the current analysis period is medium load; When Y(i,j)>y2, the load analysis unit determines that the load intensity of the current analysis period is a high load; Wherein, y1 represents the first cycle load threshold, 5≤y1≤10, and y2 represents the second cycle load threshold, 15≤y2≤30.

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