A smart park monitoring and management system based on the Internet of Things

Abstract

The present invention relates to the field of park monitoring and management, and specifically discloses a smart park monitoring and management system based on the Internet of Things. The present invention obtains the power consumption trend curve of each enterprise in the park, analyzes the peak and valley periods of power consumption, power demand and power consumption fluctuation of the park, obtains the energy demand level of each enterprise in the park and assigns a label to each enterprise in the park, thereby helping park managers to make reasonable energy plans and decisions, thereby ensuring the power supply security of the park; by monitoring whether there are abnormalities in the building energy consumption and power loss of each building in the park enterprise and providing feedback, it can help the enterprise understand the building power consumption situation, timely discover the building energy consumption problem and energy loss problem, thereby facilitating the enterprise to effectively manage and optimize the building power consumption, thereby improving the building energy utilization efficiency and reducing the power cost.

Description

Technical Field

[0001] The present invention relates to the field of park monitoring and management, and in particular to a smart park monitoring and management system based on the Internet of Things. Background Art

[0002] The monitoring and management of a smart park generally includes security monitoring, energy management, environmental monitoring, and equipment maintenance of the park, among which energy management is an important direction of park monitoring and management.

[0003] Traditional park energy management usually adopts the energy supply method of purchasing electricity from the superior power grid and then selling it to corporate users within the park. At the same time, the external power supply method is coordinated with distributed energy units such as wind power generation and photovoltaic power generation built within the park to maintain the balance of multi-energy supply and demand within the park.

[0004] However, traditional park energy management and control has some shortcomings: 1. Traditional park energy management and control mainly monitors the park's energy data and provides feedback. It does not further analyze the park's electricity consumption trends and peak and valley periods based on the energy data, which makes it impossible for the park management department to make reasonable energy plans and decisions in advance. It is easy for the park's energy supply to be insufficient, resulting in the park's energy management department having to purchase temporary electricity from the superior power grid at a higher price, making it difficult to achieve economically optimized operation.

[0005] 2. Traditional park energy management and control lacks monitoring and analysis of the energy consumption of each building within the park enterprise, and is unable to promptly discover and deal with abnormal energy consumption and power loss in the enterprise's buildings, thereby increasing the enterprise's electricity costs and reducing energy utilization efficiency. Summary of the invention

[0006] In view of the above problems, the present invention proposes a smart park monitoring and management system based on the Internet of Things to realize the function of park monitoring and management.

[0007] The technical solution adopted by the present invention to solve its technical problem is: the present invention provides a smart park monitoring and management system based on the Internet of Things, including: a park enterprise electricity consumption monitoring module: used to obtain the electricity consumption of each enterprise in the target park in each time period within a monitoring period, and draw the electricity consumption trend curve of each enterprise in the target park within the monitoring period.

[0008] Park electricity demand analysis and feedback module: It is used to analyze the peak electricity consumption period, trough electricity consumption period, stable electricity consumption period, maximum electricity demand and maximum electricity consumption fluctuation of the target park during the monitoring period according to the electricity consumption trend curve of each enterprise in the target park during the monitoring period, and obtain the energy demand level of each enterprise in the target park and assign labels to each enterprise in the target park, and further feedback to the energy management and scheduling department of the target park.

[0009] Enterprise building energy consumption monitoring module: used to obtain the energy consumption of each electricity item in each building of each enterprise in the target park in each time period during the monitoring period, and obtain the information of electricity consumption influencing factors of each building in each enterprise in the target park in each time period during the monitoring period, where the information of electricity consumption influencing factors includes the number of electrical equipment, the density of personnel activities and the outdoor ambient temperature, analyze the building energy consumption compliance coefficient of each building in each enterprise in the target park, and determine whether there is any abnormality in the building energy consumption of each building in each enterprise in the target park. If there is any abnormality, obtain the buildings with abnormal building energy consumption in each enterprise in the target park.

[0010] Enterprise building electricity loss monitoring module: used to obtain the input power and actual power consumption of each building in each enterprise in the target park in each time period during the monitoring period, analyze the power loss coefficient of each building in each enterprise in the target park, and determine whether there is any abnormality in the power loss of each building in each enterprise in the target park. If there is an abnormality, obtain the buildings with abnormal power loss in each enterprise in the target park.

[0011] Abnormal electricity consumption feedback module for enterprise buildings: used to feedback the abnormal building energy consumption and abnormal electricity loss of each building in each enterprise in the target park to the corresponding enterprise.

[0012] Database: used to store detailed information on electricity consumption of each enterprise in the target park in each historical year during the historical period.

[0013] Based on the above embodiment, the specific analysis process of the park enterprise electricity consumption monitoring module is: setting the duration of the monitoring cycle, and dividing the monitoring cycle according to the preset equal time interval principle to obtain each time period within the monitoring cycle.

[0014] The power consumption of each enterprise in the target park in each time period during the monitoring period is obtained through the data center of the energy management and dispatching department of the target park, and a curve of the power consumption of each enterprise in the target park changing with time during the monitoring period is drawn, which is recorded as the power consumption trend curve of each enterprise in the target park during the monitoring period.

[0015] Based on the above embodiment, the specific analysis process of the park electricity demand analysis feedback module includes: superimposing the electricity consumption trend curves of each enterprise in the target park during the monitoring period to obtain the electricity consumption trend curve of the target park during the monitoring period.

[0016] Set the applicable range of electricity consumption in the target park, obtain the upper and lower limits of the applicable range of electricity consumption in the target park, and record them as the upper and lower limits of electricity consumption in the target park; according to the electricity consumption trend curve of the target park during the monitoring period, obtain the time periods corresponding to the electricity consumption trend curve of the target park during the monitoring period that are higher than the upper limit of electricity consumption in the target park, between the upper and lower limits of electricity consumption in the target park, and lower than the lower limit of electricity consumption in the target park, and record them as the peak period, stable period and trough period of electricity consumption in the target park during the monitoring period.

[0017] According to the power consumption trend curve of the target park during the monitoring period, the maximum power consumption of the target park during the monitoring period and the fluctuation between the maximum power consumption and the minimum power consumption are obtained, which are recorded as the maximum power demand and the maximum power consumption fluctuation of the target park during the monitoring period respectively.

[0018] Based on the above embodiment, the specific analysis process of the park power demand analysis feedback module also includes: obtaining the power consumption of each enterprise in the target park in each time period during the monitoring period, obtaining the cumulative power consumption of each enterprise in the target park during the monitoring period, and recording it as i represents the number of the i-th enterprise, i=1,2,...,n.

[0019] According to the power consumption trend curve of each enterprise in the target park during the monitoring period and the peak power consumption period, trough power consumption period and stable power consumption period of the target park during the monitoring period, the power consumption of each enterprise in the target park during the peak power consumption period, trough power consumption period and stable power consumption period of the target park during the monitoring period is obtained, which are recorded as

[0020] By analyzing the formula Get the energy demand coefficient α of each enterprise in the target park i , where n represents the number of enterprises in the target park, Δα represents the correction of the preset energy demand coefficient, β1, β2, and β3 represent the weight factors of the preset peak power consumption, stable power consumption, and low power consumption, respectively, and β1+β2+β3=1.

[0021] Based on the above embodiment, the specific analysis process of the park electricity demand analysis feedback module also includes: setting the energy demand coefficient range corresponding to each energy demand level, and according to the energy demand coefficient of each enterprise in the target park, screening out the energy demand level of each enterprise in the target park and assigning a label to each enterprise in the target park.

[0022] Based on the above embodiment, the specific analysis process of the enterprise building energy consumption monitoring module includes: obtaining the energy consumption of each electricity item of each building in each enterprise in the target park in each time period during the monitoring period, and recording it as q xiju, x represents the number of the x-th time period, x=1,2,...,y, j represents the number of the j-th building, j=1,2,...,m, u represents the number of the u-th electrical sub-item, u=1,2,...,v.

[0023] The year immediately preceding the year in which the monitoring period occurs shall be recorded as the adjacent historical year.

[0024] Obtain the energy consumption of each electricity item in each building of each enterprise in the target park in each time period during the monitoring period of adjacent historical years, analyze the year-on-year change of each electricity item in each building of each enterprise in the target park in each time period during the monitoring period, and record it as

[0025] Obtain the energy consumption of each electricity item in each building of each enterprise in the target park in each time period of the previous monitoring period, analyze the month-on-month change of each electricity item in each building of each enterprise in the target park in each time period of the monitoring period, and record it as

[0026] By analyzing the formula The relative deviation coefficient of energy consumption of each building in each enterprise in the target park in each time period during the monitoring period is obtained, where φ represents the correction factor of the preset relative deviation coefficient of energy consumption, ε u represents the weight of the preset u-th electrical sub-item,

[0027] On the basis of the above-mentioned embodiment, the specific analysis process of the enterprise building energy consumption monitoring module also includes: obtaining the number of electrical equipment in each building of each enterprise in the target park in each time period during the monitoring period, and recording it as bxij.

[0028] Get the number of people entering each building in each enterprise in the target park during each time period during the monitoring period, set the personnel activity density corresponding to each personnel number range, and filter out the personnel activity density of each building in each enterprise in the target park during each time period during the monitoring period, which is recorded as c xij .

[0029] Get the outdoor ambient temperature of each building in each enterprise in the target park in each time period during the monitoring period, set the outdoor environmental impact factor corresponding to each outdoor ambient temperature range, and screen out the outdoor environmental impact factor of each building in each enterprise in the target park in each time period during the monitoring period, which is recorded as dxij.

[0030] Obtain the purpose of each building in each enterprise in the target park, set the building use impact factor corresponding to each type of building use, and filter out the building use impact factor of each building in each enterprise in the target park, which is recorded as f ij .

[0031] By analyzing the formula Get the building energy consumption influencing factor γ of each building in each enterprise in the target park in each time period during the monitoring period xij ,in Indicates the impact factor corresponding to the preset unit number of electrical equipment.

[0032] Based on the above embodiment, the specific analysis process of the enterprise building energy consumption monitoring module also includes: Get the building energy consumption compliance coefficient η of each building in each enterprise in the target park ij , where κ represents the preset correction factor of the building energy consumption compliance coefficient, e represents the natural constant, y represents the number of time periods in the monitoring cycle, and δ0 represents the preset threshold value of the relative deviation coefficient of energy consumption.

[0033] According to the building energy consumption compliance coefficient of each building in each enterprise in the target park, it is judged whether there is any abnormality in the building energy consumption of each building in each enterprise in the target park, and the buildings with abnormal building energy consumption in each enterprise in the target park are counted.

[0034] Based on the above embodiment, the specific analysis process of the enterprise building power consumption monitoring module includes: obtaining the input power of each building in each enterprise in the target park in each time period during the monitoring period through the energy management center of each enterprise in the target park, and recording it as

[0035] The energy consumption of each building in each enterprise in the target park during each time period in the monitoring period is accumulated to obtain the actual power consumption of each building in each enterprise in the target park during each time period in the monitoring period, which is recorded as

[0036] By analyzing the formula Get the abnormal coefficient of power loss of each building in each enterprise in the target park Where σ represents the correction factor of the preset power loss abnormal coefficient, Δq0 represents the threshold of the difference between the preset input power and the actual power consumption,

[0037] Based on the above embodiments, the specific analysis process of the enterprise building electricity loss monitoring module also includes: judging whether there is any abnormality in the electricity loss of each building in each enterprise in the target park according to the abnormal electricity loss coefficient of each building in each enterprise in the target park, and counting the buildings with abnormal electricity loss in each enterprise in the target park.

[0038] Compared with the prior art, the smart park monitoring and management system based on the Internet of Things described in the present invention has the following beneficial effects: 1. The present invention obtains the electricity consumption trend curve of each enterprise in the park, analyzes the park's peak electricity consumption period, electricity consumption trough period, electricity consumption stable period, maximum electricity demand and maximum electricity consumption fluctuation, and obtains the energy demand level of each enterprise in the park and assigns a label to each enterprise in the park, and provides feedback; it can help park managers make reasonable energy planning and decisions, thereby improving energy utilization efficiency, reducing energy costs, and ensuring the safety of the park's power supply.

[0039] 2. The present invention obtains the energy consumption of each electricity item in each building of each enterprise in the park, and obtains the information of the factors affecting electricity consumption in each building of each enterprise in the park, determines whether there is any abnormality in the building energy consumption of each building of each enterprise in the park, and provides feedback, thereby helping enterprises understand the building electricity consumption, discover building energy consumption problems and make improvements, thereby improving the energy utilization efficiency of the building and reducing electricity costs.

[0040] 3. The present invention obtains the input power and actual power consumption of each building in each enterprise in the park, determines whether there is any abnormality in the power loss of each building in each enterprise in the park, and provides feedback. By comparing the difference between the building power input and output, the power loss of the building is evaluated, which is beneficial for the enterprise to effectively manage and optimize the building power loss and reduce energy loss. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0042] Figure 1 This is a system module connection diagram of the present invention.

[0043] Figure 2 It is a schematic diagram of the electricity consumption trend curve of the target park of the present invention.

[0044] Figure 3 It is a schematic diagram of the peak and valley periods of electricity consumption in the target park of the present invention.

[0045] Figure 4 Schematic diagram of the target park energy management architecture of the present invention.

[0046] Figure markings: 1. Time; 2. Power consumption; 3. Power consumption trend curve of enterprise A; 4. Power consumption trend curve of enterprise B; 5. Power consumption trend curve of target park; 6. Lower limit of power consumption of target park; 7. Upper limit of power consumption of target park; 8. Low power consumption period; 9. Stable power consumption period; 10. Peak power consumption period. DETAILED DESCRIPTION

[0047] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0048] See also Figure 1 and Figure 4 As shown, the present invention provides a smart park monitoring and management system based on the Internet of Things, including a park enterprise electricity consumption monitoring module, a park electricity demand analysis feedback module, an enterprise building energy consumption monitoring module, an enterprise building electricity loss monitoring module, an enterprise building electricity consumption abnormality feedback module and a database.

[0049] The park electricity demand analysis feedback module is respectively connected to the park enterprise electricity consumption monitoring module and the enterprise building energy consumption monitoring module; the enterprise building electricity loss monitoring module is respectively connected to the enterprise building energy consumption monitoring module and the enterprise building electricity consumption abnormality feedback module; and the database is connected to the enterprise building energy consumption monitoring module.

[0050] The park enterprise electricity consumption monitoring module is used to obtain the electricity consumption of each enterprise in the target park in each time period within the monitoring period, and draw the electricity consumption trend curve of each enterprise in the target park within the monitoring period.

[0051] Furthermore, the specific analysis process of the park enterprise electricity consumption monitoring module is: setting the duration of the monitoring cycle, and dividing the monitoring cycle according to the preset equal time interval principle to obtain each time period within the monitoring cycle.

[0052] As a preferred solution, each time period in the monitoring cycle can be each working day in a month or each hour in a day.

[0053] The power consumption of each enterprise in the target park in each time period during the monitoring period is obtained through the data center of the energy management and dispatching department of the target park, and a curve of the power consumption of each enterprise in the target park changing with time during the monitoring period is drawn, which is recorded as the power consumption trend curve of each enterprise in the target park during the monitoring period.

[0054] As a preferred solution, a curve is drawn showing how the electricity consumption of each enterprise in the target park changes over time during the monitoring period. The specific method is as follows: a coordinate system is established with each time period in the monitoring period as the independent variable and electricity consumption as the dependent variable. According to the electricity consumption of each enterprise in the target park in each time period in the monitoring period, the corresponding data points are marked in the coordinate system. The mathematical model establishment method is used to draw a curve showing how the electricity consumption of each enterprise in the target park changes over time during the monitoring period.

[0055] As a preferred solution, the types of enterprises in the target park are different, and thus the energy demand, time points with higher energy demand, and time points with lower energy demand of the enterprises in the target park during the monitoring period are different.

[0056] The park electricity demand analysis feedback module is used to analyze the peak electricity consumption period, trough electricity consumption period, stable electricity consumption period, maximum electricity demand and maximum electricity consumption fluctuation of the target park during the monitoring period according to the electricity consumption trend curve of each enterprise in the target park during the monitoring period, and obtain the energy demand level of each enterprise in the target park and assign labels to each enterprise in the target park, and further feedback to the energy management and scheduling department of the target park.

[0057] Further, see Figure 2 As shown, the specific analysis process of the park electricity demand analysis feedback module includes: superimposing the electricity consumption trend curves of each enterprise in the target park during the monitoring period to obtain the electricity consumption trend curve of the target park during the monitoring period.

[0058] As a preferred solution, when the electricity consumption trend curves of each enterprise in the target park during the monitoring period are superimposed, the electricity consumption trend curves of each enterprise are aligned vertically, that is, the horizontal coordinates corresponding to the starting points and the end points of the electricity consumption trend curves of each enterprise are the same.

[0059] In another specific embodiment, the power consumption trend curve of the target park during the monitoring period is obtained. The specific method is as follows: according to the power consumption of each enterprise in the target park in each time period during the monitoring period, the power consumption of the target park in each time period during the monitoring period is accumulated, and a coordinate system is established with each time period in the monitoring period as an independent variable and the power consumption as a dependent variable. According to the power consumption of the target park in each time period during the monitoring period, corresponding data points are marked in the coordinate system, and the power consumption trend curve of the target park during the monitoring period is drawn using the method of establishing a mathematical model.

[0060] See also Figure 3As shown, the applicable range of electricity consumption in the target park is set, and the upper limit and lower limit of the applicable range of electricity consumption in the target park are obtained, which are recorded as the upper limit and lower limit of electricity consumption in the target park; according to the electricity consumption trend curve of the target park during the monitoring period, the time periods corresponding to the electricity consumption trend curve of the target park during the monitoring period that are higher than the upper limit of electricity consumption in the target park, between the upper and lower limits of electricity consumption in the target park, and lower than the lower limit of electricity consumption in the target park are obtained respectively, and they are recorded as the peak period, stable period and trough period of electricity consumption in the target park during the monitoring period.

[0061] According to the power consumption trend curve of the target park during the monitoring period, the maximum power consumption of the target park during the monitoring period and the fluctuation between the maximum power consumption and the minimum power consumption are obtained, which are recorded as the maximum power demand and the maximum power consumption fluctuation of the target park during the monitoring period respectively.

[0062] As a preferred solution, the applicable range of the target park's electricity consumption means that the target park's electricity consumption is within this range and the target park's electricity supply can meet the demand and maintain stable operation.

[0063] As a preferred solution, the target park may have multiple peak periods, trough periods and stable periods of electricity consumption within the monitoring period.

[0064] Furthermore, the specific analysis process of the park power demand analysis feedback module also includes: obtaining the power consumption of each enterprise in the target park in each time period during the monitoring period, obtaining the cumulative power consumption of each enterprise in the target park during the monitoring period, and recording it as i represents the number of the i-th enterprise, i=1,2,...,n.

[0065] According to the power consumption trend curve of each enterprise in the target park during the monitoring period and the peak power consumption period, trough power consumption period and stable power consumption period of the target park during the monitoring period, the power consumption of each enterprise in the target park during the peak power consumption period, trough power consumption period and stable power consumption period of the target park during the monitoring period is obtained, which are recorded as

[0066] By analyzing the formula Get the energy demand coefficient α of each enterprise in the target park i , where n represents the number of enterprises in the target park, Δα represents the correction of the preset energy demand coefficient, β1, β2, and β3 represent the weight factors of the preset peak power consumption, stable power consumption, and low power consumption, respectively, and β1+β2+β3=1.

[0067] Furthermore, the specific analysis process of the park electricity demand analysis feedback module also includes: setting the energy demand coefficient range corresponding to each energy demand level, screening out the energy demand level of each enterprise in the target park according to the energy demand coefficient of each enterprise in the target park and assigning a label to each enterprise in the target park.

[0068] It should be noted that the present invention obtains the electricity consumption trend curve of each enterprise in the park, analyzes the park's electricity consumption peak period, electricity consumption trough period, electricity consumption stable period, maximum electricity demand and maximum electricity consumption fluctuation, and obtains the energy demand level of each enterprise in the park and assigns a label to each enterprise in the park for feedback; it can help park managers make reasonable energy planning and decisions, thereby improving energy utilization efficiency, reducing energy costs, and ensuring the safety of the park's power supply.

[0069] The enterprise building energy consumption monitoring module is used to obtain the energy consumption of each electricity sub-item of each building in each enterprise in the target park in each time period during the monitoring period, and obtain the information of electricity consumption influencing factors of each building in each enterprise in the target park in each time period during the monitoring period, wherein the information of electricity consumption influencing factors includes the number of electrical equipment, the density of personnel activities and the outdoor ambient temperature, analyze the building energy consumption compliance coefficient of each building in each enterprise in the target park, and determine whether there is any abnormality in the building energy consumption of each building in each enterprise in the target park. If there is any abnormality, obtain the buildings with abnormal building energy consumption in each enterprise in the target park.

[0070] Furthermore, the specific analysis process of the enterprise building energy consumption monitoring module includes: obtaining the energy consumption of each electricity item of each building in each enterprise in the target park in each time period during the monitoring period, and recording it as q xiju , x represents the number of the x-th time period, x=1,2,...,y, j represents the number of the j-th building, j=1,2,...,m, u represents the number of the u-th electrical sub-item, u=1,2,...,v.

[0071] As a preferred solution, there may be multiple standards for dividing the electrical items.

[0072] In a specific embodiment, the electrical sub-items are obtained by dividing the electrical equipment and lines according to their functions, such as a power distribution system, a lighting system, a power system, and a control system.

[0073] In another specific embodiment, the electrical equipment and lines are divided into various electricity sub-items according to their usage, such as production electricity, domestic electricity, and special electricity.

[0074] As a preferred solution, the energy consumption of each electricity item of each building in the enterprise is obtained. The specific method is: the power consumption of each power equipment related to each electricity sub-item in each building in the enterprise is obtained through a smart meter, and the power consumption is accumulated to obtain the energy consumption of each electricity sub-item of each building in the enterprise.

[0075] The year immediately preceding the year in which the monitoring period occurs shall be recorded as the adjacent historical year.

[0076] In a specific embodiment, if the year in which the monitoring cycle occurs is 2024, the previous year immediately preceding the year in which the monitoring cycle occurs is 2023.

[0077] Obtain the energy consumption of each electricity item in each building of each enterprise in the target park in each time period during the monitoring period of adjacent historical years, analyze the year-on-year change of each electricity item in each building of each enterprise in the target park in each time period during the monitoring period, and record it as

[0078] As a preferred solution, the year-on-year changes in energy consumption of each electricity sub-item in each building of each enterprise in the target park in each time period during the monitoring period are analyzed. The specific method is: extract the electricity consumption details of each enterprise in the target park in each historical year in the historical period stored in the database, filter out the energy consumption of each electricity sub-item in each building of each enterprise in the target park in each time period during the monitoring period of adjacent historical years, compare it with the energy consumption of each electricity sub-item in each building of each enterprise in the target park in each time period during the monitoring period, and obtain the year-on-year changes in energy consumption of each electricity sub-item in each building of each enterprise in the target park in each time period during the monitoring period.

[0079] Obtain the energy consumption of each electricity item in each building of each enterprise in the target park in each time period of the previous monitoring period, analyze the month-on-month change of each electricity item in each building of each enterprise in the target park in each time period of the monitoring period, and record it as

[0080] As a preferred solution, the month-on-month change of each electricity sub-item of energy consumption in each building of each enterprise in the target park in each time period during the monitoring period is analyzed. The specific method is: obtain the energy consumption of each electricity sub-item of each building in each enterprise in the target park in each time period of the previous period of the monitoring period, and compare it with the energy consumption of each electricity sub-item of each building in each enterprise in the target park in each time period during the monitoring period, so as to obtain the month-on-month change of each electricity sub-item of energy consumption in each building in each enterprise in the target park in each time period during the monitoring period.

[0081] As a preferred option, the year-on-year comparison is the comparison between the same period last year and the same period this year, and the month-on-month comparison is the comparison between the previous cycle and the current cycle.

[0082] By analyzing the formula The relative deviation coefficient of energy consumption of each building in each enterprise in the target park in each time period during the monitoring period is obtained, where φ represents the correction factor of the preset relative deviation coefficient of energy consumption, ε u represents the weight of the preset u-th electrical sub-item,

[0083] Furthermore, the specific analysis process of the enterprise building energy consumption monitoring module also includes: obtaining the number of electrical equipment in each building of each enterprise in the target park in each time period within the monitoring period, and recording it as bxij.

[0084] As a preferred solution, the electrical equipment in each building of each enterprise in the target park at each time period during the monitoring period includes but is not limited to: heating system, ventilation system, air conditioning system and lighting equipment.

[0085] Get the number of people entering each building in each enterprise in the target park during each time period during the monitoring period, set the personnel activity density corresponding to each personnel number range, and filter out the personnel activity density of each building in each enterprise in the target park during each time period during the monitoring period, which is recorded as c xij .

[0086] As a preferred option, the activities of people in a building will have an impact on the energy consumption of the building.

[0087] As a preferred solution, the number of people entering each building in each enterprise in the target park during each time period during the monitoring period is obtained through the surveillance cameras installed in each enterprise in the target park, and the obtained information on the entering people is only used for energy consumption monitoring, analysis and management of the target park.

[0088] In another specific embodiment, the GIS geographic information system is used to obtain the density of personnel activities in each building in each enterprise in the target park in each time period during the monitoring period.

[0089] Get the outdoor ambient temperature of each building in each enterprise in the target park in each time period during the monitoring period, set the outdoor environmental impact factor corresponding to each outdoor ambient temperature range, and screen out the outdoor environmental impact factor of each building in each enterprise in the target park in each time period during the monitoring period, which is recorded as dxij.

[0090] As a preferred option, the climatic conditions surrounding the building will also affect the building's energy consumption, such as air temperature, which will affect the building's heating and cooling needs.

[0091] Obtain the purpose of each building in each enterprise in the target park, set the building use impact factor corresponding to each type of building use, and filter out the building use impact factor of each building in each enterprise in the target park, which is recorded as f ij .

[0092] As a preferred solution, buildings of different types and uses have different energy consumption patterns, such as residential, commercial, industrial and office buildings.

[0093] By analyzing the formula Get the building energy consumption influencing factor γ of each building in each enterprise in the target park in each time period during the monitoring period xij ,in Indicates the impact factor corresponding to the preset unit number of electrical equipment.

[0094] Furthermore, the specific analysis process of the enterprise building energy consumption monitoring module also includes: by analyzing the formula Get the building energy consumption compliance coefficient η of each building in each enterprise in the target park ij , where κ represents the preset correction factor of the building energy consumption compliance coefficient, e represents the natural constant, y represents the number of time periods in the monitoring cycle, and δ0 represents the preset threshold value of the relative deviation coefficient of energy consumption.

[0095] According to the building energy consumption compliance coefficient of each building in each enterprise in the target park, it is judged whether there is any abnormality in the building energy consumption of each building in each enterprise in the target park, and the buildings with abnormal building energy consumption in each enterprise in the target park are counted.

[0096] As a preferred solution, it is determined whether there is any abnormality in the building energy consumption of each building in each enterprise in the target park. The specific method is: compare the building energy consumption compliance coefficient of each building in each enterprise in the target park with the preset building energy consumption compliance coefficient reference value. If the building energy consumption compliance coefficient of a building in an enterprise in the target park is less than the preset building energy consumption compliance coefficient reference value, then there is an abnormality in the building energy consumption of the building in the enterprise in the target park.

[0097] It should be noted that the present invention obtains the energy consumption of each electricity item in each building in each enterprise in the park, and obtains the information of factors affecting electricity consumption in each building in each enterprise in the park, determines whether there is any abnormality in the building energy consumption of each building in each enterprise in the park, and provides feedback, thereby helping enterprises understand the building electricity consumption, discover building energy consumption problems and make improvements, thereby improving the energy utilization efficiency of the building and reducing electricity costs.

[0098] The enterprise building electricity loss monitoring module is used to obtain the input power and actual power consumption of each building in each enterprise in the target park in each time period during the monitoring period, analyze the power loss coefficient of each building in each enterprise in the target park, and determine whether there is any abnormality in the power loss of each building in each enterprise in the target park. If there is an abnormality, obtain the buildings with abnormal power loss in each enterprise in the target park.

[0099] Furthermore, the specific analysis process of the enterprise building power consumption monitoring module includes: obtaining the input power of each building in each enterprise in the target park in each time period during the monitoring period through the energy management center of each enterprise in the target park, and recording it as

[0100] As a preferred solution, the source of input electricity to each building in each enterprise in the target park can be the power grid or the enterprise's own power generation, such as solar power generation and wind power generation.

[0101] The energy consumption of each building in each enterprise in the target park during each time period in the monitoring period is accumulated to obtain the actual power consumption of each building in each enterprise in the target park during each time period in the monitoring period, which is recorded as

[0102] As a preferred solution, if the loss of electricity in power line transportation and the influence of factors such as power line aging are not taken into account, the input power of each building in each enterprise in the target park in each time period during the monitoring period is equal to the actual power consumption.

[0103] By analyzing the formula Get the abnormal coefficient of power loss of each building in each enterprise in the target park Where σ represents the correction factor of the preset power loss abnormal coefficient, Δq0 represents the threshold of the difference between the preset input power and the actual power consumption,

[0104] Furthermore, the specific analysis process of the enterprise building electricity loss monitoring module also includes: judging whether there is any abnormality in the electricity loss of each building in each enterprise in the target park according to the abnormal electricity loss coefficient of each building in each enterprise in the target park, and counting the buildings with abnormal electricity loss in each enterprise in the target park.

[0105] As a preferred solution, it is determined whether there is any abnormality in the power loss of each building in each enterprise in the target park. The specific method is: compare the power loss abnormality coefficient of each building in each enterprise in the target park with the preset power loss abnormality coefficient warning value. If the power loss abnormality coefficient of a building in an enterprise in the target park is greater than the preset power loss abnormality coefficient warning value, then there is an abnormality in the power loss of the building in the enterprise in the target park.

[0106] It should be noted that the present invention obtains the input power and actual power consumption of each building in each enterprise in the park, determines whether there is any abnormality in the power loss of each building in each enterprise in the park, and provides feedback, and evaluates the power loss of the building by comparing the difference between the building power input and output, which is beneficial for the enterprise to effectively manage and optimize the building power loss and reduce energy loss.

[0107] The enterprise building power consumption abnormality feedback module is used to feedback each building with abnormal building energy consumption and each building with abnormal power loss in each enterprise in the target park to the corresponding enterprise.

[0108] The database is used to store detailed information on electricity consumption of each enterprise in the target park in each historical year within a historical period.

[0109] The above contents are merely examples and explanations of the concept of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they should all fall within the protection scope of the present invention.

Claims

1. A smart park monitoring and management system based on the Internet of Things, characterized in that: include: Park enterprise electricity consumption monitoring module: used to obtain the electricity consumption of each enterprise in the target park in each time period during the monitoring period, and draw the electricity consumption trend curve of each enterprise in the target park during the monitoring period; Park power demand analysis and feedback module: used to analyze the peak power consumption period, low power consumption period, stable power consumption period, maximum power demand and maximum power consumption fluctuation of the target park during the monitoring period according to the power consumption trend curve of each enterprise in the target park during the monitoring period, and obtain the energy demand level of each enterprise in the target park and assign labels to each enterprise in the target park, and further feedback to the energy management and dispatching department of the target park; Enterprise building energy consumption monitoring module: used to obtain the energy consumption of each electricity item of each building in each enterprise in the target park in each time period during the monitoring period, and obtain the information of the factors affecting electricity consumption of each building in each enterprise in the target park in each time period during the monitoring period, where the information of factors affecting electricity consumption includes the number of electrical equipment, the density of personnel activities and the outdoor ambient temperature, analyze the building energy consumption compliance coefficient of each building in each enterprise in the target park, and determine whether there is any abnormality in the building energy consumption of each building in each enterprise in the target park. If there is any abnormality, obtain the buildings with abnormal building energy consumption in each enterprise in the target park; Enterprise building power consumption monitoring module: used to obtain the input power and actual power consumption of each building in each enterprise in the target park in each time period during the monitoring period, analyze the power consumption abnormality coefficient of each building in each enterprise in the target park, and determine whether there is any abnormality in the power consumption of each building in each enterprise in the target park. If there is any abnormality, obtain the buildings with abnormal power consumption in each enterprise in the target park; Abnormal power consumption feedback module for enterprise buildings: used to feedback abnormal energy consumption and abnormal power loss of each building in each enterprise in the target park to the corresponding enterprise; Database: used to store detailed information on electricity consumption of each enterprise in the target park in each historical year during the historical period; The specific analysis process of the enterprise building energy consumption monitoring module includes: Obtain the energy consumption of each electricity item in each building of each enterprise in the target park during each time period during the monitoring period, and record it as , Indicates The number of the time period, , Indicates The building number, , Indicates The number of each electrical sub-item, ; The year immediately preceding the year of the monitoring period shall be recorded as the adjacent historical year; Obtain the energy consumption of each electricity item in each building of each enterprise in the target park in each time period during the monitoring period of adjacent historical years, analyze the year-on-year change of each electricity item in each building of each enterprise in the target park in each time period during the monitoring period, and record it as ; Obtain the energy consumption of each electricity item in each building of each enterprise in the target park in each time period of the previous monitoring period, analyze the month-on-month change of each electricity item in each building of each enterprise in the target park in each time period of the monitoring period, and record it as ; By analyzing the formula Get the relative deviation coefficient of energy consumption of each building in each enterprise in the target park in each time period during the monitoring period ,in Indicates the correction factor of the preset relative deviation coefficient of energy consumption, Indicates the preset The weight of each electrical item, ; The specific analysis process of the enterprise building energy consumption monitoring module also includes: Obtain the number of electrical equipment in each building of each enterprise in the target park during each time period during the monitoring period and record it as ; Get the number of people entering each building in each enterprise in the target park during each time period during the monitoring period, set the density of personnel activities corresponding to each range of the number of people, and filter out the density of personnel activities in each building in each enterprise in the target park during each time period during the monitoring period, and record it as ; Get the outdoor ambient temperature of each building in each enterprise in the target park in each time period during the monitoring period, set the outdoor environmental impact factor corresponding to each outdoor ambient temperature range, and screen out the outdoor environmental impact factor of each building in each enterprise in the target park in each time period during the monitoring period, and record it as ; Obtain the purpose of each building in each enterprise in the target park, set the building use influencing factor corresponding to each type of building use, and filter out the building use influencing factor of each building in each enterprise in the target park, which is recorded as ; By analyzing the formula Get the building energy consumption influencing factors of each building in each enterprise in the target park during each time period during the monitoring period ,in Indicates the impact factor corresponding to the preset unit number of electrical equipment; The specific analysis process of the enterprise building energy consumption monitoring module also includes: By analyzing the formula Obtain the building energy consumption compliance coefficient of each building in each enterprise in the target park ,in Indicates the correction factor of the preset building energy consumption compliance coefficient, represents a natural constant, Indicates the number of time periods within the monitoring cycle. Indicates the preset threshold value of the relative deviation coefficient of energy consumption; According to the building energy consumption compliance coefficient of each building in each enterprise in the target park, determine whether the building energy consumption of each building in each enterprise in the target park is abnormal, and count the buildings with abnormal building energy consumption in each enterprise in the target park; The specific analysis process of the enterprise building power consumption monitoring module includes: The input power of each building in each enterprise in the target park during each time period during the monitoring period is obtained through the energy management center of each enterprise in the target park, and recorded as ; The energy consumption of each building in each enterprise in the target park during each time period in the monitoring period is accumulated to obtain the actual power consumption of each building in each enterprise in the target park during each time period in the monitoring period, which is recorded as ; By analyzing the formula Get the abnormal coefficient of power loss in each building of each enterprise in the target park ,in Indicates the correction factor of the preset power loss abnormal coefficient, The threshold value representing the difference between the preset input power and the actual power consumption. .

2. According to claim 1, the smart park monitoring and management system based on the Internet of Things is characterized by: The specific analysis process of the park enterprise power consumption monitoring module is as follows: Set the duration of the monitoring cycle and divide the monitoring cycle according to the preset equal time interval principle to obtain the time periods within the monitoring cycle; The power consumption of each enterprise in the target park in each time period during the monitoring period is obtained through the data center of the energy management and dispatching department of the target park, and a curve of the power consumption of each enterprise in the target park changing with time during the monitoring period is drawn, which is recorded as the power consumption trend curve of each enterprise in the target park during the monitoring period.

3. According to the Internet of Things-based smart park monitoring and management system of claim 1, it is characterized by: The specific analysis process of the park electricity demand analysis feedback module includes: The power consumption trend curves of each enterprise in the target park during the monitoring period are superimposed to obtain the power consumption trend curve of the target park during the monitoring period; Set the applicable range of the target park's electricity consumption, obtain the upper limit and lower limit of the applicable range of the target park's electricity consumption, record them as the upper limit and lower limit of the target park's electricity consumption, and according to the electricity consumption trend curve of the target park during the monitoring period, obtain the time periods corresponding to the target park's electricity consumption trend curve during the monitoring period that are higher than the target park's electricity consumption upper limit, between the target park's electricity consumption upper and lower limits, and lower than the target park's electricity consumption lower limit, and record them as the target park's electricity consumption peak period, electricity consumption stable period, and electricity consumption valley period during the monitoring period; According to the power consumption trend curve of the target park during the monitoring period, the maximum power consumption of the target park during the monitoring period and the fluctuation between the maximum power consumption and the minimum power consumption are obtained, which are recorded as the maximum power demand and the maximum power consumption fluctuation of the target park during the monitoring period respectively.

4. According to the Internet of Things-based smart park monitoring and management system of claim 1, it is characterized by: The specific analysis process of the park power demand analysis feedback module also includes: Obtain the power consumption of each enterprise in the target park in each time period during the monitoring period, and obtain the cumulative power consumption of each enterprise in the target park during the monitoring period, which is recorded as , Indicates The company number, ; According to the power consumption trend curve of each enterprise in the target park during the monitoring period and the peak power consumption period, trough power consumption period and stable power consumption period of the target park during the monitoring period, the power consumption of each enterprise in the target park during the peak power consumption period, trough power consumption period and stable power consumption period of the target park during the monitoring period is obtained, which are recorded as ; By analyzing the formula Get the energy demand coefficient of each enterprise in the target park ,in represents the number of enterprises in the target park, Indicates the correction amount of the preset energy demand coefficient, They represent the weight factors of the preset peak power consumption, stable power consumption and low power consumption respectively. .

5. According to claim 4, a smart park monitoring and management system based on the Internet of Things is characterized by: The specific analysis process of the park power demand analysis feedback module also includes: The energy demand coefficient range corresponding to each energy demand level is set. According to the energy demand coefficient of each enterprise in the target park, the energy demand level of each enterprise in the target park is screened and a label is assigned to each enterprise in the target park.

6. According to the Internet of Things-based smart park monitoring and management system of claim 1, it is characterized by: The specific analysis process of the enterprise building power consumption monitoring module also includes: According to the abnormal power loss coefficient of each building in each enterprise in the target park, it is judged whether there is abnormal power loss in each building in each enterprise in the target park, and the buildings with abnormal power loss in each enterprise in the target park are counted.

Images