CN116703135B - Power line construction planning analysis and evaluation method - Google Patents

Abstract

The invention relates to the technical field of power lines, and particularly discloses a power line construction planning analysis and evaluation method, which comprises the following steps: s1, acquiring historical electricity consumption information of a target park, S2, analyzing historical electricity consumption of the target park, S3, analyzing population growth trend of the target park, S4, analyzing electricity consumption increase trend of the target park, S5, analyzing emergency coefficient of expansion of the target park, S6 and processing emergency coefficient of expansion of the target park.

Description

An analysis and evaluation method for power line construction planning

Technical field

The present invention relates to the technical field of power lines, and specifically to a power line construction planning analysis and evaluation method.

Background technique

With the rapid development of the global economy and the acceleration of urbanization, the demand for reliable, efficient, and sustainable power supply is also increasing. As an important link in energy transmission, power lines’ planning, construction and operation are crucial. By assessing the power demand of the industrial park, analyzing the growth trend of electricity consumption, and measuring transmission losses, it is easy to formulate a reasonable power line construction plan for the industrial park that adapts to future needs. This helps to predict and solve potential power supply shortages in the target park in advance and ensure the continued stable output of power supply. Therefore, it is extremely necessary to plan the construction of power lines in the industrial park.

The construction planning of power lines in industrial parks in the existing technology can meet the current requirements to a certain extent, but there are still certain defects, which are specifically reflected in the following levels: (1) The use of industrial parks in the existing technology The analysis of power fluctuations is not in-depth enough. The fluctuations in power consumption in industrial parks within historical cycles and during peak hours reflect the urgency of line expansion in industrial parks to a certain extent. The greater the fluctuation in power consumption and the The greater the fluctuation in electricity consumption during peak hours, the greater the demand for electricity in the industrial park. The neglect of this aspect in the existing technology leads to the control of the fluctuation of electricity consumption in the industrial park, which makes it impossible to make decisions. Better forward-looking decisions on power expansion may lead to the paralysis of power lines in the industrial park due to insufficient power supply in the industrial park, thereby reducing the value and reference of advance planning of power lines in the industrial park.

(2) The existing technology does not pay much attention to the growth trend of electrical equipment in industrial parks. The growth trend of electrical equipment reflects the power demand of industrial parks to a certain extent. The existing technology does not pay much attention to this aspect. Neglect leads to inaccurate analysis of power demand in industrial parks, which in turn fails to provide strong data support for the analysis of power line expansion in industrial parks, thereby reducing the accuracy and accuracy of power line expansion analysis in industrial parks and making it difficult to ensure The reliability of power supply can easily lead to resource waste and investment redundancy.

Contents of the invention

In order to overcome the shortcomings in the background technology, embodiments of the present invention provide a power line construction planning analysis and evaluation method, which can effectively solve the problems involved in the above-mentioned background technology.

The purpose of the present invention can be achieved through the following technical solutions: a power line construction planning analysis and evaluation method, including: S1. Obtaining historical power consumption information of the target park: acquiring historical power consumption information of the target park from the power supply center.

S2. Analysis of historical power consumption of the target park: Based on the historical power consumption information of the target park, the corresponding power consumption growth trend coefficient and power consumption fluctuation coefficient of the target park are analyzed.

S3. Analysis of the growth trend of population in the target park: Extract the number of personnel corresponding to each enterprise in the target park in each historical period from the cloud database, and analyze the growth trend coefficient of the enterprise size corresponding to the target park accordingly.

S4. Analysis on the growth trend of electric equipment in the target park: Extract the electric equipment information corresponding to each enterprise in the target park in each historical period from the cloud database. The electric equipment information includes the electric equipment information corresponding to each electric equipment type. The usage time, and based on this, the growth trend coefficient of electrical equipment corresponding to the target park is analyzed.

S5. Analysis of the emergency coefficient of expansion of the target park: Comprehensive analysis of the emergency coefficient of power line expansion corresponding to the target park.

S6. Target park expansion emergency coefficient processing: Display the power line expansion emergency coefficient corresponding to the target park.

As a preferred solution, the historical electricity consumption information includes the total electricity consumption of each enterprise in each historical period corresponding to each natural day and each period.

As a preferred solution, the specific analysis method for the electricity consumption growth trend coefficient corresponding to the target park is: extracting from the historical electricity consumption information of the target park the data of each enterprise in each historical period corresponding to each natural day and each period. The total electricity consumption is summarized to obtain the total electricity consumption of each enterprise belonging to the target park in each historical period corresponding to each natural day. , of which/> Expressed as the number of each enterprise,/> ,/> Expressed as the number of each historical period,/> ,/> Expressed as the number of each natural day,/> .

Analyze the electricity consumption growth trend coefficients of each enterprise in the target park in each historical period .

Based on the electricity consumption growth trend coefficients of each enterprise in the target park in each historical period, screen the maximum electricity consumption growth trend coefficient of each enterprise in the target park. and the minimum electricity consumption growth trend coefficient/> .

Each historical period corresponding to the power consumption growth trend coefficient of each enterprise belonging to the target park is greater than or equal to the predefined power consumption growth trend coefficient threshold is marked as each growth history period, and then the growth history corresponding to each enterprise belonging to the target park is obtained cycles, and count the number of corresponding growth historical cycles for each enterprise in the target park. .

Count the number of historical periods , analyze the electricity consumption growth trend coefficient corresponding to the target park ,/> ,/> ,/> ,in is a natural constant,/> is the allowable error of the predefined electricity consumption growth trend coefficient,/> is the number of enterprises,/> is the number of historical periods.

As a preferred solution, the specific analysis method of the electricity consumption growth trend coefficient corresponding to each historical period of each enterprise belonging to the target park is: based on the total power consumption of each natural day corresponding to each historical period of each enterprise affiliated to the target park. Electricity draws the total electricity consumption line chart corresponding to each historical period of each enterprise belonging to the target park, and then extracts each line segment from it, and obtains the coordinates of the starting point and end point corresponding to each line segment, and then counts the total electricity consumption of each enterprise affiliated to the target park. The total electricity consumption at the starting point of each line segment corresponding to each historical period and the total power consumption of the end point/> , of which/> is the number of each line segment,/> .

Analyze the slope of each line segment corresponding to each enterprise belonging to the target park in each historical period , and based on this, each line segment with a slope greater than zero in each historical cycle of each enterprise belonging to the target park is screened, marked as each growth line segment, and then statistics are collected on each growth line segment corresponding to each historical cycle of each enterprise affiliated to the target park.

Extract the slope corresponding to each growth line segment of each enterprise belonging to the target park in each historical period, and mark it as , of which/> Add the number of line segments to each segment,/> , and count the number of growth line segments of each enterprise in the target park in each historical cycle/> , and then analyze the electricity consumption growth trend coefficients of each enterprise in the target park in each historical period/> , of which/> ,/> , ,/> ,/> ,/> Respectively expressed as the weight influencing impression factors corresponding to the predefined number of growth line segments, the slope of the growth line segments, and the average slope of the line segments,/> is the number of line segments,/> is the number of growing line segments.

As a preferred solution, the specific analysis method for the power consumption fluctuation coefficient corresponding to the target park is: analyze the total power consumption of each enterprise belonging to the target park in each historical period corresponding to each natural day. Corresponding peak hour electricity consumption deviation coefficient .

Select the maximum total electricity consumption of each enterprise in the target park in each historical period from the total electricity consumption of each enterprise in the target park corresponding to each natural day in each historical period. and minimum total power consumption/> .

Analyze the fluctuation coefficient of electricity consumption of each enterprise in the target park in each historical period , of which/> The target park belongs to/> Enterprises in No./> The historical period corresponds to the /> Total electricity consumption per calendar day,/> It is the allowable error between the predefined maximum total power consumption and the minimum total power consumption,/> is the number of calendar days.

The average power consumption fluctuation coefficient of each enterprise belonging to the target park in each historical period is processed, and then the average power consumption fluctuation coefficient of each enterprise belonging to the target park is obtained, which is marked as .

Comprehensive analysis of the power consumption fluctuation coefficient corresponding to the target park , of which/> ,/> Respectively expressed as the weight coefficient corresponding to the predefined peak hour power consumption deviation coefficient and the average power consumption fluctuation coefficient.

As a preferred solution, the specific analysis method for the deviation coefficient of electricity consumption during peak hours corresponding to each enterprise belonging to the target park is: based on the total power consumption of each enterprise belonging to the target park in each historical period corresponding to each natural day and each time period. Electricity, and combined with the peak hours corresponding to each historical period stored in the cloud database, screen the total electricity consumption of each enterprise belonging to the target park in each historical period corresponding to each peak period on each natural day, and mark it as , of which/> is the number of each peak period,/> .

The total electricity consumption of each enterprise belonging to the target park during each historical period corresponding to each peak period on each natural day is averaged, and then the total electricity consumption of each enterprise affiliated to the target park during each historical period corresponding to each peak period on each natural day is obtained. mean .

Analyze the deviation coefficients of electricity consumption during peak hours of each enterprise in the target park corresponding to each natural day in each historical period. , of which/> The target park belongs to/> Enterprises in No./> The historical period corresponds to the /> The natural day belongs to/> Total electricity consumption during peak hours,/> is the number during peak hours.

Perform two average processing on the peak hour electricity consumption deviation coefficients of each enterprise belonging to the target park in each historical period corresponding to each natural day, and then obtain the average value of the peak hour electricity consumption deviation coefficient of each enterprise belonging to the target park, and record it as the target Deviation coefficient of electricity consumption during peak hours corresponding to each enterprise in the park .

As a preferred solution, the specific analysis method for the enterprise scale growth trend coefficient corresponding to the target park is: extract the number of personnel corresponding to each enterprise in the target park in each historical period from the cloud database , and based on this, the target park is constructed to correspond to the changes in the number of personnel of each enterprise in each historical period and adjacent historical periods. , of which/> Corresponding to the target park/> Enterprises in No./> The number of personnel corresponding to each historical period, and then based on this, the change in the number of personnel of each enterprise in the target park corresponding to each historical period and the corresponding unit period of the adjacent historical period/> .

Extract the actual number of enterprises that can be accommodated in the target park from the cloud database , and count the number of current enterprises belonging to the target park/> , and then analyze the growth trend coefficient of enterprise size corresponding to the target park. ,/> ,/> ,/> , of which/> It is the allowable error in the change value of the number of personnel per unit time corresponding to the predefined historical period and the adjacent historical period, Corresponding to the target park/> Enterprises in No./> The change in the number of personnel per unit of time between a historical period and an adjacent historical period,/> ,/> ,/> They are respectively expressed as the weight factors corresponding to the predefined change in the number of personnel, the proportion of the current number of enterprises, and the stability of the change in the number of personnel.

As a preferred solution, the specific analysis method of analyzing the growth trend coefficient of electrical equipment corresponding to the target park is: extracting each electrical equipment type from the electrical equipment information corresponding to each enterprise in the target park in each historical period. The corresponding usage time of each electrical equipment , of which/> is the number of each type of electrical equipment,/> ,/> is the number of each electrical equipment,/> .

Extract the power consumption per unit time corresponding to each type of electrical equipment from the cloud database , and then analyze the total power consumption of each enterprise in the target park and each type of electrical equipment in each historical period. .

Record each power equipment type corresponding to each enterprise in the target park whose total power consumption in each historical period is greater than or equal to the predefined power consumption threshold as each high power consumption equipment type, and then obtain the power consumption corresponding to each enterprise in the target park. Types of high-power-consuming electrical equipment corresponding to each historical period.

Count the total number of power-consuming equipment belonging to each high-power-consuming equipment type for each enterprise in the target park in each historical period, and then set the total number of power-consuming equipment to be greater than or equal to the predefined number of high-power-consuming equipment. The types of electrical equipment are recorded as each target electrical equipment type, and then the target electrical equipment types corresponding to each enterprise in the target park and in each historical period are obtained.

Count the number of electrical equipment belonging to each target electrical equipment type corresponding to each enterprise in the target park in each historical period. , of which/> Represented as the number of each target electrical equipment type,/> .

Analyze the growth trend coefficient of electrical equipment corresponding to the target park , of which/> The allowable error in the number of electrical equipment corresponding to the two predefined target power consumption types,/> Corresponding to the target park/> Enterprises in No./> The historical period corresponds to the /> The number of electrical devices belonging to each target electrical device type,/> is the number of target electrical equipment types.

As a preferred solution, the specific calculation formula for the power line expansion emergency coefficient corresponding to the target park is: .

Compared with the existing technology, embodiments of the present invention at least have the following advantages or beneficial effects: (1) In the acquisition of historical power consumption information of the target park, the present invention obtains the historical power consumption information of the target park from the power supply center, and then provides information for subsequent target parks. Historical electricity consumption analysis provides data support.

(2) In the historical power consumption analysis of the target park, the present invention analyzes the power consumption fluctuations of the target park within the historical period and the power consumption fluctuations during peak hours through the historical power consumption information of the target park, thereby making up for the existing technology. The neglected shortcomings at this level will help relevant staff to control the fluctuation of power consumption in industrial parks, and then make better forward-looking decisions on power expansion to avoid insufficient power supply in industrial parks. The phenomenon of paralysis of power lines in industrial parks has improved the value and reference of advance planning of power lines in industrial parks.

(3) The present invention analyzes the growth trend of the enterprise scale in the target park in the analysis of the population growth trend of the target park. The greater the number of employees of the enterprises in the target park, to a certain extent, it reflects the increase in the power demand of the enterprises in the target park. , thereby enriching the analysis level of the emergency coefficient of power expansion in the target park and improving the accuracy of the analysis of power line expansion in the target park.

(4) In the analysis of the growth trend of electrical equipment in the target park, the present invention analyzes the growth trend of electrical equipment in the industrial park through the number of high power-consuming equipment in the industrial park, thereby overcoming the existing technology's concerns about the electrical equipment in the industrial park. The difficulty of not paying enough attention to the growth trend ensures the accuracy of the power demand analysis of the industrial park and provides strong data support for the analysis of the power line expansion of the industrial park, thereby improving the accuracy of the power line expansion analysis of the industrial park. Precision and accuracy ensure the reliability of power supply and avoid resource waste and investment redundancy.

Description of the drawings

The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. For those of ordinary skill in the art, without exerting creative efforts, other embodiments can be obtained based on the following drawings. Picture attached.

Figure 1 is a flow chart of the method of the present invention.

Figure 2 is a schematic broken line diagram of the total power consumption of the present invention.

Detailed ways

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of the present invention.

Referring to Figure 1, the present invention provides a power line construction planning analysis and evaluation method, which includes: S1, acquisition of historical power consumption information of the target park, S2, analysis of historical power consumption of the target park, S3, analysis of the population growth trend of the target park, S4, analysis of the growth trend of electrical equipment in the target park, S5, analysis of the emergency coefficient of expansion of the target park, and S6, processing of the emergency coefficient of expansion of the target park.

S1. Obtain the historical power consumption information of the target park: obtain the historical power consumption information of the target park from the power supply center.

In a specific embodiment of the present invention, the historical electricity consumption information includes the total electricity consumption of each enterprise in each historical period corresponding to each natural day and each period.

The present invention obtains the historical power consumption information of the target park from the power supply center during the acquisition of the target park's historical power consumption information, thereby providing data support for subsequent historical power consumption analysis of the target park.

S2. Analysis of historical power consumption of the target park: Based on the historical power consumption information of the target park, the corresponding power consumption growth trend coefficient and power consumption fluctuation coefficient of the target park are analyzed.

In a specific embodiment of the present invention, the specific analysis method for the power consumption growth trend coefficient corresponding to the target park is: extracting from the historical power consumption information of the target park the corresponding power consumption of each enterprise in each historical period corresponding to each natural day. The total electricity consumption during the period is summarized to obtain the total electricity consumption of each enterprise belonging to the target park in each historical period corresponding to each natural day. , of which/> Expressed as the number of each enterprise,/> ,/> Expressed as the number of each historical period, ,/> Expressed as the number of each natural day,/> .

Analyze the electricity consumption growth trend coefficients of each enterprise in the target park in each historical period .

Based on the electricity consumption growth trend coefficients of each enterprise in the target park in each historical period, screen the maximum electricity consumption growth trend coefficient of each enterprise in the target park. and the minimum electricity consumption growth trend coefficient/> .

Each historical period corresponding to the power consumption growth trend coefficient of each enterprise belonging to the target park is greater than or equal to the predefined power consumption growth trend coefficient threshold is marked as each growth history period, and then the growth history corresponding to each enterprise belonging to the target park is obtained cycles, and count the number of corresponding growth historical cycles for each enterprise in the target park. .

Count the number of historical periods , analyze the electricity consumption growth trend coefficient corresponding to the target park ,/> ,/> ,/> , of which/> is a natural constant,/> is the allowable error of the predefined electricity consumption growth trend coefficient,/> is the number of enterprises,/> is the number of historical periods.

In a specific embodiment of the present invention, the specific analysis method for the electricity consumption growth trend coefficient corresponding to each historical period of each enterprise belonging to the target park is: as shown in Figure 2, in which the X-axis is the natural day and the Y-axis is the total electricity consumption. Draw a line chart of the total electricity consumption of each enterprise in the target park in each historical period based on the total electricity consumption of each natural day in each historical period, and then extract each line segment from it. , and obtain the coordinates of the starting point and the end point of each line segment, and then count the total electricity consumption of the starting point of each line segment corresponding to each historical period of each enterprise belonging to the target park. and the total power consumption of the end point/> , of which/> is the number of each line segment,/> .

Analyze the slope of each line segment corresponding to each enterprise belonging to the target park in each historical period , and based on this, each line segment with a slope greater than zero in each historical cycle of each enterprise belonging to the target park is screened, marked as each growth line segment, and then statistics are collected on each growth line segment corresponding to each historical cycle of each enterprise affiliated to the target park.

Extract the slope corresponding to each growth line segment of each enterprise belonging to the target park in each historical period, and mark it as , of which/> Add the number of line segments to each segment,/> , and count the number of growth line segments of each enterprise in the target park in each historical cycle/> , and then analyze the electricity consumption growth trend coefficients of each enterprise in the target park in each historical period/> , of which/> ,/> , ,/> ,/> ,/> Respectively expressed as the weight influencing impression factors corresponding to the predefined number of growth line segments, the slope of the growth line segments, and the average slope of the line segments,/> is the number of line segments,/> is the number of growing line segments.

In a specific embodiment of the present invention, the specific analysis method for the power consumption fluctuation coefficient corresponding to the target park is: analyze the target park to which the target park belongs based on the total power consumption of each enterprise to which the target park belongs in each historical period and corresponding to each natural day. The deviation coefficient of electricity consumption during peak hours corresponding to each enterprise .

Select the maximum total electricity consumption of each enterprise belonging to the target park in each historical period from the total electricity consumption of each enterprise in the target park corresponding to each natural day in each historical period. and minimum total power consumption/> .

Analyze the fluctuation coefficient of electricity consumption of each enterprise in the target park in each historical period , of which/> The target park belongs to/> Enterprises in No./> The historical period corresponds to the /> Total electricity consumption per calendar day,/> It is the allowable error between the predefined maximum total power consumption and the minimum total power consumption,/> is the number of calendar days.

The average power consumption fluctuation coefficient of each enterprise belonging to the target park in each historical period is processed, and then the average power consumption fluctuation coefficient of each enterprise belonging to the target park is obtained, which is marked as .

Comprehensive analysis of the power consumption fluctuation coefficient corresponding to the target park , of which/> ,/> Respectively expressed as the weight coefficient corresponding to the predefined peak hour power consumption deviation coefficient and the average power consumption fluctuation coefficient.

In a specific embodiment of the present invention, the specific analysis method for the deviation coefficient of electricity consumption during peak hours corresponding to each enterprise belonging to the target park is as follows: based on the power consumption deviation coefficients of each enterprise belonging to the target park in each historical period corresponding to each natural day and each time period. The total electricity consumption, combined with the peak hours corresponding to each historical period stored in the cloud database, selects the total electricity consumption of each enterprise belonging to the target park in each historical period corresponding to each peak period on each natural day, and marks it as ,in is the number of each peak period,/> .

The total electricity consumption of each enterprise belonging to the target park during each historical period corresponding to each peak period on each natural day is averaged, and then the total electricity consumption of each enterprise affiliated to the target park during each historical period corresponding to each peak period on each natural day is obtained. mean .

Analyze the deviation coefficients of electricity consumption during peak hours of each enterprise in the target park corresponding to each natural day in each historical period. , of which/> The target park belongs to/> Enterprises in No./> The historical period corresponds to the /> The natural day belongs to/> Total electricity consumption during peak hours,/> is the number during peak hours.

Perform two average processing on the peak hour electricity consumption deviation coefficients of each enterprise belonging to the target park in each historical period corresponding to each natural day, and then obtain the average value of the peak hour electricity consumption deviation coefficient of each enterprise belonging to the target park, and record it as the target Deviation coefficient of electricity consumption during peak hours corresponding to each enterprise in the park .

In the historical power consumption analysis of the target park, the present invention analyzes the power consumption fluctuations of the target park within the historical period and the power consumption fluctuations during peak hours through the historical power consumption information of the target park, thereby making up for the problem in the prior art. Defects ignored at one level will help relevant staff control the fluctuation of power consumption in the industrial park, thereby making better forward-looking decisions on power expansion and avoiding industrial park failures caused by insufficient power supply in the industrial park. The phenomenon of power line paralysis has improved the value and reference of advance planning of power lines in industrial parks.

S3. Analysis of the growth trend of population in the target park: Extract the number of personnel corresponding to each enterprise in the target park in each historical period from the cloud database, and analyze the growth trend coefficient of the enterprise size corresponding to the target park accordingly.

In a specific embodiment of the present invention, the specific analysis method for the enterprise scale growth trend coefficient corresponding to the target park is: extracting the number of personnel corresponding to each enterprise in the target park in each historical period from the cloud database , and based on this, the target park is constructed to correspond to the changes in the number of personnel of each enterprise in each historical period and adjacent historical periods. , of which/> Corresponding to the target park/> Enterprises in No./> The number of personnel corresponding to each historical period, and then based on this, the change in the number of personnel of each enterprise in the target park corresponding to each historical period and the corresponding unit period of the adjacent historical period/> .

Extract the actual number of enterprises that can be accommodated in the target park from the cloud database , and count the number of current enterprises belonging to the target park/> , and then analyze the growth trend coefficient of enterprise size corresponding to the target park. ,/> ,/> ,/> , of which/> It is the allowable error in the change value of the number of personnel per unit time corresponding to the predefined historical period and the adjacent historical period, Corresponding to the target park/> Enterprises in No./> The change in the number of personnel per unit of time between a historical period and an adjacent historical period,/> ,/> ,/> They are respectively expressed as the weight factors corresponding to the predefined change in the number of personnel, the proportion of the current number of enterprises, and the stability of the change in the number of personnel.

The present invention analyzes the growth trend of the enterprise scale in the target park in the analysis of the population growth trend of the target park. The greater the number of employees of the enterprises in the target park, to a certain extent, it reflects the increase in the power demand of the enterprises in the target park, thereby enriching It improves the analysis level of the emergency coefficient of power expansion in the target park and improves the accuracy of the analysis of power line expansion in the target park.

S4. Analysis on the growth trend of electric equipment in the target park: Extract the electric equipment information corresponding to each enterprise in the target park in each historical period from the cloud database. The electric equipment information includes the electric equipment information corresponding to each electric equipment type. The usage time, and based on this, the growth trend coefficient of electrical equipment corresponding to the target park is analyzed.

In a specific embodiment of the present invention, the specific analysis method for analyzing the growth trend coefficient of electric equipment corresponding to the target park is: extracting each electric equipment information corresponding to each enterprise in the target park in each historical period. The corresponding usage time of each electrical device belonging to the device type , of which/> is the number of each type of electrical equipment, ,/> is the number of each electrical equipment,/> .

Extract the power consumption per unit time corresponding to each type of electrical equipment from the cloud database , and then analyze the total power consumption of each enterprise in the target park and each type of electrical equipment in each historical period. .

Record each power equipment type corresponding to each enterprise in the target park whose total power consumption in each historical period is greater than or equal to the predefined power consumption threshold as each high power consumption equipment type, and then obtain the power consumption corresponding to each enterprise in the target park. Types of high-power-consuming electrical equipment corresponding to each historical period.

Count the total number of power-consuming equipment belonging to each high-power-consuming equipment type for each enterprise in the target park in each historical period, and then set the total number of power-consuming equipment to be greater than or equal to the predefined number of high-power-consuming equipment. The types of electrical equipment are recorded as each target electrical equipment type, and then the target electrical equipment types corresponding to each enterprise in the target park and in each historical period are obtained.

Count the number of electrical equipment belonging to each target electrical equipment type corresponding to each enterprise in the target park in each historical period. , of which/> Represented as the number of each target electrical equipment type,/> .

Analyze the growth trend coefficient of electrical equipment corresponding to the target park , of which/> The allowable error in the number of electrical equipment corresponding to the two predefined target power consumption types,/> Corresponding to the target park/> Enterprises in No./> The historical period corresponds to the /> The number of electrical devices belonging to each target electrical device type,/> is the number of target electrical equipment types.

In the analysis of the growth trend of electric equipment in the target park, the present invention analyzes the growth trend of electric equipment in the industrial park through the number of high power consumption equipment in the industrial park, thereby overcoming the existing technology's concern about the growth trend of electric equipment in the industrial park. The difficulty is not high, thereby ensuring the accuracy of the power demand analysis of the industrial park, and providing strong data support for the analysis of the power line expansion of the industrial park, thus improving the accuracy and accuracy of the power line expansion analysis of the industrial park. Accuracy, ensuring the reliability of power supply and avoiding resource waste and investment redundancy.

S5. Analysis of the emergency coefficient of expansion of the target park: Comprehensive analysis of the emergency coefficient of power line expansion corresponding to the target park.

In a specific embodiment of the present invention, the specific calculation formula for the power line expansion emergency coefficient corresponding to the target park is: .

S6. Target park expansion emergency coefficient processing: Display the power line expansion emergency coefficient corresponding to the target park.

The above contents are only examples and descriptions of the structure of the present invention. Those skilled in the art may make various modifications or supplements to the described specific embodiments or substitute them in similar ways, as long as they do not deviate from the structure of the invention or Anything beyond the scope defined by the present invention shall belong to the protection scope of the present invention.

Claims (2)

1. An analysis and evaluation method for power line construction planning, which is characterized by including: S1. Obtain the historical power consumption information of the target park: obtain the historical power consumption information of the target park from the power supply center; S2. Analysis of historical power consumption of the target park: Based on the historical power consumption information of the target park, analyze the corresponding power consumption growth trend coefficient and power consumption fluctuation coefficient of the target park; S3. Analysis of the growth trend of population in the target park: Extract the number of personnel corresponding to each enterprise in the target park in each historical period from the cloud database, and analyze the growth trend coefficient of the enterprise scale corresponding to the target park accordingly; S4. Analysis on the growth trend of electric equipment in the target park: Extract the electric equipment information corresponding to each enterprise in the target park in each historical period from the cloud database. The electric equipment information includes the electric equipment information corresponding to each electric equipment type. Duration of use, and based on this analysis the growth trend coefficient of electrical equipment corresponding to the target park; S5. Analysis of the emergency coefficient of expansion of the target park: Comprehensive analysis of the emergency coefficient of power line expansion corresponding to the target park; S6. Target park expansion emergency coefficient processing: display the power line expansion emergency coefficient corresponding to the target park; The specific analysis method for the electricity consumption growth trend coefficient corresponding to the target park is: Extract the total electricity consumption of each enterprise in each historical period corresponding to each natural day from the historical electricity consumption information of the target park, and summarize it, and then obtain the total electricity consumption of each enterprise in the target park corresponding to each natural day in each historical period. of total electricity consumption , of which/> Expressed as the number of each enterprise,/> ,/> Expressed as the number of each historical period,/> ,/> Expressed as the number of each natural day,/> ; Analyze the electricity consumption growth trend coefficients of each enterprise in the target park in each historical period ; Based on the electricity consumption growth trend coefficients of each enterprise in the target park in each historical period, screen the maximum electricity consumption growth trend coefficient of each enterprise in the target park. and the minimum electricity consumption growth trend coefficient/> ; Each historical period corresponding to the power consumption growth trend coefficient of each enterprise belonging to the target park is greater than or equal to the predefined power consumption growth trend coefficient threshold is marked as each growth history period, and then the growth history corresponding to each enterprise belonging to the target park is obtained cycles, and count the number of corresponding growth historical cycles for each enterprise in the target park. ; Count the number of historical periods , analyze the electricity consumption growth trend coefficient corresponding to the target park/> , ,/> ,/> , of which/> is a natural constant,/> is the allowable error of the predefined electricity consumption growth trend coefficient,/> is the number of enterprises,/> is the number of historical periods; The specific analysis method of the electricity consumption growth trend coefficient corresponding to each historical period of each enterprise belonging to the target park is: Based on the total electricity consumption of each enterprise belonging to the target park in each historical period corresponding to each natural day, draw a line chart of the total electricity consumption corresponding to each historical period of each enterprise belonging to the target park, and then extract each line segment from it, and obtain each line segment Correspond to the coordinates of the starting point and the end point, and then count the total electricity consumption of the starting point of each line segment corresponding to each historical period of each enterprise belonging to the target park. and the total power consumption of the end point/> , of which/> is the number of each line segment, ; Analyze the slope of each line segment corresponding to each enterprise belonging to the target park in each historical period , and based on this, each line segment with a slope greater than zero in each historical period of each enterprise belonging to the target park is screened, marked as each growth line segment, and then statistics are collected on each growth line segment corresponding to each historical cycle of each enterprise affiliated to the target park; Extract the slope corresponding to each growth line segment of each enterprise belonging to the target park in each historical period, and mark it as , of which/> Add the number of line segments to each segment,/> , and count the number of growth line segments of each enterprise in the target park in each historical cycle/> , and then analyze the electricity consumption growth trend coefficients of each enterprise in the target park in each historical period/> , of which/> ,/> , ,/> ,/> ,/> Respectively expressed as the weight influencing impression factors corresponding to the predefined number of growth line segments, the slope of the growth line segments, and the average slope of the line segments,/> is the number of line segments,/> is the number of growing line segments; The specific analysis method for the power consumption fluctuation coefficient corresponding to the target park is: Based on the total electricity consumption of each enterprise in the target park corresponding to each natural day in each historical period, the deviation coefficient of electricity consumption during peak hours corresponding to each enterprise in the target park is analyzed. ; Select the maximum total electricity consumption of each enterprise belonging to the target park in each historical period from the total electricity consumption of each enterprise in the target park corresponding to each natural day in each historical period. and minimum total power consumption/> ; Analyze the fluctuation coefficient of electricity consumption of each enterprise in the target park in each historical period , of which/> The target park belongs to/> Enterprises in No./> The historical period corresponds to the /> Total electricity consumption per calendar day,/> It is the allowable error between the predefined maximum total power consumption and the minimum total power consumption,/> is the number of natural days; The average power consumption fluctuation coefficient of each enterprise belonging to the target park in each historical period is processed, and then the average power consumption fluctuation coefficient of each enterprise belonging to the target park is obtained, which is marked as ; Comprehensive analysis of the power consumption fluctuation coefficient corresponding to the target park , of which/> , Respectively expressed as the weight coefficient corresponding to the predefined peak hour power consumption deviation coefficient and the average power consumption fluctuation coefficient; The specific analysis method of the peak hour electricity consumption deviation coefficient corresponding to each enterprise belonging to the target park is: Based on the total electricity consumption of each enterprise belonging to the target park in each historical period corresponding to each natural day and each time period, and combined with each peak period corresponding to each historical period stored in the cloud database, select the corresponding period of each historical period of each enterprise belonging to the target park. The total electricity consumption during each peak period of each natural day is marked as , of which/> is the number of each peak period,/> ; The total electricity consumption of each enterprise belonging to the target park during each historical period corresponding to each peak period on each natural day is averaged, and then the total electricity consumption of each enterprise affiliated to the target park during each historical period corresponding to each peak period on each natural day is obtained. mean ; Analyze the deviation coefficients of electricity consumption during peak hours of each enterprise in the target park corresponding to each natural day in each historical period. , of which/> The target park belongs to/> Enterprises in No./> The historical period corresponds to the /> The natural day belongs to/> Total electricity consumption during peak hours,/> is the quantity during peak hours; Perform two average processing on the peak hour electricity consumption deviation coefficients of each enterprise belonging to the target park in each historical period corresponding to each natural day, and then obtain the average value of the peak hour electricity consumption deviation coefficient of each enterprise belonging to the target park, and record it as the target Deviation coefficient of electricity consumption during peak hours corresponding to each enterprise in the park ; The specific analysis method for the enterprise scale growth trend coefficient corresponding to the target park is: Extract the number of personnel corresponding to each enterprise in the target park in each historical period based on the cloud database , and based on this, the target park is constructed to correspond to the changes in the number of personnel of each enterprise in each historical period and adjacent historical periods. , of which/> Corresponding to the target park/> Enterprises in No./> The number of personnel corresponding to each historical period, and then based on this, the change in the number of personnel of each enterprise in the target park corresponding to each historical period and the corresponding unit period of the adjacent historical period/> ; Extract the actual number of enterprises that can be accommodated in the target park from the cloud database , and count the number of current enterprises belonging to the target park/> , and then analyze the growth trend coefficient of enterprise size corresponding to the target park. ,/> ,/> ,/> , of which/> It is the allowable error in the change value of the number of personnel per unit time corresponding to the predefined historical period and the adjacent historical period, Corresponding to the target park/> Enterprises in No./> The change in the number of personnel per unit of time between a historical period and an adjacent historical period,/> ,/> ,/> They are respectively expressed as the weight factors corresponding to the predefined change in the number of personnel, the proportion of the current number of enterprises, and the stability of the change in the number of personnel; The specific analysis method of the growth trend coefficient of electrical equipment corresponding to the target park is as follows: Extract the usage time corresponding to each type of electrical equipment from the electrical equipment information corresponding to each enterprise in the target park in each historical period. , of which/> is the number of each type of electrical equipment,/> ,/> is the number of each electrical equipment,/> ; Extract the power consumption per unit time corresponding to each type of electrical equipment from the cloud database , and then analyze the total power consumption of each enterprise in the target park and corresponding to each type of electrical equipment in each historical period/> ; Record each power equipment type corresponding to each enterprise in the target park whose total power consumption in each historical period is greater than or equal to the predefined power consumption threshold as each high power consumption equipment type, and then obtain the power consumption corresponding to each enterprise in the target park. Types of high-power-consuming electrical equipment corresponding to each historical period; Count the total number of power-consuming equipment belonging to each high-power-consuming equipment type for each enterprise in the target park in each historical period, and then set the total number of power-consuming equipment to be greater than or equal to the predefined number of high-power-consuming equipment. The types of electrical equipment are recorded as each target electrical equipment type, and then the target electrical equipment types corresponding to each enterprise in the target park and in each historical period are obtained; Count the number of electrical equipment belonging to each target electrical equipment type corresponding to each enterprise in the target park in each historical period. , of which/> Represented as the number of each target electrical equipment type,/> ; Analyze the growth trend coefficient of electrical equipment corresponding to the target park , of which/> The allowable error in the number of electrical equipment corresponding to the two predefined target power consumption types,/> Corresponding to the target park/> Enterprises in No./> The historical period corresponds to the /> The number of electrical devices belonging to each target electrical device type,/> The number of target electrical equipment types; The specific calculation formula for the power line expansion emergency coefficient corresponding to the target park is: . 2. A power line construction planning analysis and evaluation method according to claim 1, characterized in that: the historical electricity consumption information includes the total electricity consumption of each enterprise in each historical period corresponding to each natural day and each period.