CN116664365A - Intelligent community digital management method and device based on Internet of things - Google Patents

Intelligent community digital management method and device based on Internet of things Download PDF

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CN116664365A
CN116664365A CN202310618173.9A CN202310618173A CN116664365A CN 116664365 A CN116664365 A CN 116664365A CN 202310618173 A CN202310618173 A CN 202310618173A CN 116664365 A CN116664365 A CN 116664365A
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李家才
李全彬
丁研研
严凤英
肖伟雄
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Shenzhen Huiruitong Intelligent Technology Co ltd
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Abstract

The invention relates to the technical field of intelligent management, and discloses an intelligent community digital management method and device based on the Internet of things, wherein the method comprises the following steps: receiving a power consumption analysis instruction initiated by a community client, determining all power consumption units of the community by using the power consumption analysis instruction, wherein the power consumption units comprise residential buildings, parking plants, public greening areas and public facility areas, acquiring historical power consumption of the power consumption units, determining daily power consumption attention periods of the power consumption units based on the historical power consumption, constructing a load matrix of the power consumption units based on the daily power consumption attention periods, calculating to obtain multiple groups of power consumption characteristics of the power consumption units according to the load matrix, inputting the multiple groups of power consumption characteristics as input data into a power consumption analysis model, analyzing the power consumption safety of the power consumption units, obtaining analysis results of whether the power consumption is safe or not, and sending analysis results of whether the power consumption is safe or not back to the community client. The invention mainly aims to improve the management intelligence of the intelligent community about electricity safety.

Description

Intelligent community digital management method and device based on Internet of things
Technical Field
The invention relates to a digital management method and device for an intelligent community based on the Internet of things, and belongs to the technical field of intelligent management.
Background
With the development of scientific technology and informatization age, the community industry is also coming into the intelligent management age. The scientific technology is utilized to promote intelligent progress of communities, and meanwhile, higher voltage utilization force of communities is also caused, so that electricity utilization safety accidents are caused. How to monitor the electricity consumption condition of the intelligent community based on the digital technology moment is a technical pain point which needs to be solved urgently.
The current electricity consumption supervision of the common intelligent community mainly depends on visual data of an ammeter and a voltmeter, such as directly acquiring the visual data of the ammeter and the voltmeter of the intelligent community, setting a current threshold and a voltage threshold, and executing electricity consumption warning of the community even automatically tripping to prevent safety accidents if the directly acquired current value and voltage value exceed the current threshold and the voltage threshold.
Although the method can realize the management of the intelligent community about the electricity safety, the intelligent is not high, and the influence of the electricity wave condition in the community on the electricity safety is not considered, so that the hidden danger of the electricity safety still exists in the intelligent community.
Disclosure of Invention
The invention provides a digital management method and device for an intelligent community based on the Internet of things and a computer readable storage medium, and mainly aims to improve the management intelligence of the intelligent community on electricity utilization safety.
In order to achieve the above purpose, the invention provides a digital management method of an intelligent community based on the internet of things, which comprises the following steps:
receiving an electricity analysis instruction initiated by a community client, and determining all electricity units of the community by using the electricity analysis instruction, wherein the electricity units comprise residential buildings, parking factories, public greening areas and public facility areas;
acquiring historical electricity consumption of the electricity consumption unit, and determining a daily electricity consumption attention period of the electricity consumption unit based on the historical electricity consumption;
constructing a load matrix of the electricity unit based on a daily electricity utilization attention period;
calculating to obtain multiple groups of electricity utilization characteristics of the electricity utilization units according to the load matrix;
inputting a plurality of groups of electricity utilization characteristics as input data into an electricity quantity analysis model, and analyzing the electricity utilization safety of an electricity utilization unit to obtain an analysis result of whether electricity utilization is safe or not;
when the analysis result is that the electricity is safe, confirming power supply equipment for supplying power to the community, wherein the power supply equipment comprises an accumulator, an energy-saving generator and an energy-consuming generator, and calculating to obtain the load consumption power of the community according to the multiple groups of electricity utilization characteristics;
acquiring the electric storage output power of the accumulator, and judging whether the accumulator can meet the power supply requirement according to the electric storage output power and the load consumption power;
If the accumulator can meet the power supply requirement, checking the phase sequence of the accumulator and then using the accumulator to supply power for communities;
if the accumulator can not meet the power supply requirement, acquiring the energy-saving power generation power of the energy-saving generator, and judging whether the electric energy generated by the energy-saving generator can meet the power supply requirement according to the load consumption power and the energy-saving power generation power;
if the energy-saving generator can meet the power supply requirement, checking the phase sequence of the energy-saving generator and then utilizing the energy-saving generator to supply power to communities;
if the energy-saving generator cannot meet the power supply requirement, the type and the number of the energy-consuming generators are confirmed according to the load consumption power, and the community is powered on based on the energy-consuming generators of the specified type and number.
Optionally, the determining the daily electricity usage period of interest of the electricity usage unit based on the historical electricity usage amount includes:
splitting the historical electricity consumption according to the daily electricity consumption condition to obtain a plurality of groups of daily electricity consumption, wherein the daily electricity consumption is obtained by sequencing the electricity consumption of each minute in each day;
removing daily electricity consumption which is smaller than or equal to an electricity consumption threshold value to obtain electricity consumption to be fitted;
and fitting a plurality of groups of power consumption to be fitted to obtain a daily power consumption attention period of the power consumption unit, wherein the daily power consumption attention period comprises a power consumption attention period starting point, a power consumption attention period end point, a power consumption valley period starting point, a power consumption valley period end point, a power consumption peak period starting point, a power consumption peak period end point, a power consumption level period starting point and a power consumption level end point.
Optionally, the constructing the load matrix of the electricity unit based on the daily electricity utilization attention period includes:
according to the starting point of the electricity utilization attention period and the final point of the electricity utilization attention period, calculating to obtain the number of hours of attention of the daily electricity utilization attention period;
taking the number of hours as a row dimension and the number of minutes as a column dimension, and constructing to obtain a null matrix;
sequentially filling the electricity consumption of each minute in the daily electricity consumption attention period into the empty matrix to obtain a load matrix, wherein the load matrix is represented by the following steps:
wherein Q is i Q i A load matrix representing the ith power utilization unit of the community, kk representing the number of hours of interest in the daily power utilization interest period corresponding to the ith power utilization unit, q k，j q k，j The electricity consumption of the ii-th electricity consumption unit at jj minutes at kk hours is shown.
Optionally, the calculating according to the load matrix obtains multiple groups of electricity characteristics of the electricity unit, including:
calculating a daily load according to the load matrix, wherein the daily load calculating method comprises the following steps:
fitting to obtain a change function of the load quantity changing along with time by utilizing the load quantity per minute in the load matrix;
and obtaining the daily load quantity by integrating a change function of the load quantity along with the time change, wherein an integral formula of the daily load quantity is as follows:
q d ＝∫ 1 kq(t)dt
Wherein q (t) q (t) is a change function of the load amount with time, q d q d A daily load amount indicating the electricity consumption unit;
constructing matrixes of a valley period, a peak period and a level period to respectively obtain a valley period matrix, a peak period matrix and a level period matrix;
calculating a peak period load quantity by using a peak period matrix, calculating a valley period load quantity by using a valley period matrix, and calculating a flat period load quantity by using a flat period matrix;
setting 2 rows and 1 columns of matrix elements in the load matrix as a unit synchronous monitoring starting point;
sequentially extracting the electricity consumption to be monitored from the unit synchronous monitoring starting point in the load matrix according to the sequence of time;
extracting the same uplink electricity consumption of the electricity consumption to be monitored from the load matrix;
calculating the difference value between the electricity consumption to be monitored and the uplink electricity consumption on the same column to obtain a unit synchronous electricity consumption difference value;
and calculating the synchronous electricity utilization rate increase of the unit by using the synchronous electricity utilization difference value of the unit according to a preset electricity utilization rate increase calculation formula, wherein the electricity utilization rate increase calculation formula is as follows:
a k,j ＝2[(q k，j -q k-1,j )-(q k-1,j -q k-1,j-1 )]
wherein a is k,j a k,j A unit synchronous power up rate at the j-th minute of the k-th hour, (q) k，j -q k-1，j )(q k，j -q k-1，j ) Represents the unit synchronous electricity consumption difference value, q k,j q k,j Represents the electricity consumption to be monitored at the j-th minute of the k-th hour, q k-1， j q k-1，j Representing the same uplink power consumption of the power consumption to be monitored, namely the power consumption of the load matrix at the (k-1) th hour and the (j) th minute, q k-1，j-1 q k-1，j-1 Representing the electricity consumption of the kth to the jth to the 1 min of the load matrix;
and summarizing the daily load quantity, peak load quantity, valley load quantity, flat load quantity and unit synchronous electricity utilization acceleration rate to obtain multiple groups of electricity utilization characteristics.
Optionally, the constructing the matrixes of the electricity consumption valley period, the electricity consumption peak period and the electricity consumption level period respectively obtains a valley period matrix, a peak period matrix and a flat period matrix, which are respectively:
sequentially extracting valley period power consumption, peak period power consumption and flat period power consumption from the load matrix according to the valley period starting point, the valley period final dead point, the peak period starting point, the peak period final dead point, the level period starting point and the level period final dead point;
and constructing a valley period matrix, a peak period matrix and a flat period matrix based on the valley period power consumption, the peak period power consumption and the flat period power consumption.
Optionally, the method for constructing the valley period matrix comprises the following steps:
determining the number of hours included in the electricity consumption in the valley period, and splitting the electricity consumption in the valley period according to the number of hours included in the electricity consumption in the valley period to obtain a plurality of groups of electricity consumption in the valley period;
constructing and obtaining a valley period matrix by utilizing a plurality of groups of valley period hour electricity consumption, wherein the valley period matrix is represented by the following steps:
l is more than or equal to 1, and l+s is less than or equal to k
Wherein L is i L i Valley period matrix representing ith power utilization unit, ll represents hour of starting point of power utilization valley period in daily power utilization attention period, q l，j q l，j Represents the electricity consumption of the ith electricity utilization unit at the jth minute in the electricity utilization valley period ll, q l+s， j q l+s，j And the electricity consumption of the ith electricity utilization unit at the j-th minute when l+sl+s in the electricity utilization valley period is expressed, and ss is the hour difference value between the final dead point of the electricity utilization valley period and the starting point of the electricity utilization valley period.
Optionally, the peak period matrix and the flat period matrix are respectively represented by:
h is more than or equal to 1, and h+r is less than or equal to k
n is more than or equal to 1, and n+m is less than or equal to k
s+r+m＝k
Wherein H is i H i A peak period matrix representing the ith power utilization unit, hh represents the hour of the starting point of the power utilization peak period in the daily power utilization attention period, q h，j q h，j Represents the electricity consumption of the ith electricity unit at the jth minute in the electricity consumption peak period, q h+r， j q h+r，j The power consumption of the ith power consumption unit at the j-th minute in the peak period of power consumption l+sh+rh+r is represented, rr is the hour difference between the final dead point of the peak period of power consumption and the starting point of the peak period of power consumption, and N i N i A flat matrix representing the ith power utilization unit, nn representing the hour of the start point of the power utilization level period in the daily power utilization interest period, q h，j q h,j Represents the power consumption of the ith power consumption unit at the jth minute of the power consumption period nn, q h+r，j q n，j q n，j And the power consumption of the ith power utilization unit at the j-th minute when the power utilization period is l+sh+rn+mn+m is represented, and mm is the hour difference between the final dead point of the power utilization period and the starting point of the power utilization period.
Optionally, the electricity utilization feature further includes peak-valley load difference, a flat period time occupation ratio, a peak period time occupation ratio and a valley period time occupation ratio, wherein the calculation method of the peak-valley load difference is as follows:
traversing from the valley period matrix to obtain the minimum value of the electricity consumption, and obtaining the minimum electricity consumption of the valley period;
traversing from the peak period matrix traversal to obtain the maximum value of the power consumption, and obtaining the maximum power consumption of the peak period;
calculating the difference value of the maximum electricity consumption in the peak period and the minimum electricity consumption in the valley period to obtain the peak-valley load difference; and
the calculation method of the flat period time occupation ratio, the peak period time occupation ratio and the valley period time occupation ratio comprises the following steps:
wherein, rate L rat L Represents the ratio of the valley period time and the rate H rat H Represents the ratio of peak period to time, rate N rat N Representing the flat time ratio.
Optionally, the determining the type and the number of the energy consumption generators according to the load consumption power includes:
all currently available energy-consuming generators are obtained, and all energy-consuming generators are combined according to the following arrangement:
wherein P is f P f Power is consumed for the load s i s i For the ii-th number of energy-consuming generators, p i p i Power generation, ω, of the ii-th energy-consuming generator i ω i For the ii-type energy consumption generator, the power loss coefficient when the coal resource is used for generating electricity is shown in mm, and the number of the energy consumption generators which are arranged and combined to meet the requirement that the power generated by the energy consumption generator is larger than the load consumption power is shown;
selecting a permutation and combination corresponding to the minimum number of energy-consuming generators which generate more power than the load consumes power to obtain an optimal permutation and combination, wherein the optimal permutation and combination comprises the number of the energy-consuming generators and the type of the selected energy-consuming generators.
In order to solve the above problems, the present invention further provides an intelligent community digital management device based on the internet of things, the device comprising:
the power consumption analysis instruction receiving module is used for receiving power consumption analysis instructions initiated by the community client and determining all power consumption units of the community by utilizing the power consumption analysis instructions, wherein the power consumption units comprise residential buildings, parking factories, public greening areas and public facility areas;
the load matrix construction module is used for acquiring the historical electricity consumption of the electricity consumption unit, determining a daily electricity consumption attention period of the electricity consumption unit based on the historical electricity consumption, and constructing a load matrix of the electricity consumption unit based on the daily electricity consumption attention period;
The electricity utilization characteristic calculation module is used for calculating and obtaining multiple groups of electricity utilization characteristics of the electricity utilization unit according to the load matrix;
the power consumption safety analysis module is used for inputting a plurality of groups of power consumption characteristics into the power consumption analysis model as input data, analyzing the power consumption safety of the power consumption unit to obtain an analysis result of whether the power consumption is safe, when the analysis result is power consumption safety, determining power supply equipment for supplying power to communities, wherein the power supply equipment comprises a storage device, an energy-saving generator and an energy-consuming generator, calculating load consumption power of the communities according to the plurality of groups of power consumption characteristics, acquiring the storage output power of the storage device, determining whether the storage device can meet the power supply requirement according to the storage output power and the load consumption power, if the storage device can meet the power supply requirement, checking the phase sequence of the storage device, using the storage device to supply power to the communities, if the storage device cannot meet the power supply requirement, acquiring the energy-saving power generation power of the energy-saving generator, determining whether the power generated by the energy-saving generator can meet the power supply requirement according to the load consumption power and the energy-saving power generation power, if the energy-saving generator cannot meet the power supply requirement, checking the phase sequence of the energy-saving generator, and determining the type and the quantity of the energy-consuming generator according to the load consumption power, and assigning the type and quantity of the energy-consuming generator to the communities.
In order to solve the above-mentioned problems, the present invention also provides an electronic apparatus including:
at least one processor; the method comprises the steps of,
a memory communicatively coupled to the at least one processor; wherein, the liquid crystal display device comprises a liquid crystal display device,
the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to implement the intelligent community digitalized management method based on the internet of things.
In order to solve the above problems, the present invention further provides a computer readable storage medium, in which at least one instruction is stored, the at least one instruction being executed by a processor in an electronic device to implement the intelligent community digitalized management method based on the internet of things.
Compared with the problems in the background art, the method and the system for monitoring the community electricity consumption comprise the steps of receiving the electricity consumption analysis instruction initiated by the community client, determining all the electricity consumption units of the community by utilizing the electricity consumption analysis instruction, wherein the electricity consumption units comprise residential buildings, parking factories, public greening areas and public facility areas, and the method and the system for monitoring the community electricity consumption are not capable of directly acquiring the values of all ammeter voltmeters in the community, but are capable of firstly segmenting community execution units to obtain different electricity consumption units such as residential buildings, parking factories, public greening areas and public facility areas, and separately monitoring the electricity consumption condition of each electricity consumption unit, so that the intelligence of community electricity consumption management is improved. Further, the historical electricity consumption of the electricity consumption unit is obtained, the daily electricity consumption attention period of the electricity consumption unit is determined based on the historical electricity consumption, the load matrix of the electricity consumption unit is constructed based on the daily electricity consumption attention period, and it is emphasized that the load matrix can intuitively display electricity consumption conditions of each time point of each electricity consumption unit, so that multiple groups of electricity consumption characteristics of the electricity consumption unit are obtained through calculation according to the load matrix. Finally, a plurality of groups of electricity utilization characteristics are input into an electricity quantity analysis model as input data, the electricity utilization safety of an electricity utilization unit is analyzed, an analysis result of whether the electricity utilization is safe is obtained, and further, when the analysis result is the electricity utilization safety, power supply equipment for supplying power to communities is confirmed, wherein the power supply equipment comprises an accumulator, an energy-saving generator and an energy-consuming generator, load consumption power of communities is calculated according to the plurality of groups of electricity utilization characteristics, and the accumulator, the energy-saving generator and the energy-consuming generator are sequentially selected to supply power to the communities based on the electric storage output power of the accumulator, the energy-saving power of the energy-saving generator and the types and the quantity of the energy-consuming generators.
Drawings
Fig. 1 is a flow chart of a digital management method of an intelligent community based on the internet of things according to an embodiment of the application;
FIG. 2 is a functional block diagram of an intelligent community digital management device based on the Internet of things according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an electronic device for implementing the intelligent community digital management method based on the internet of things according to an embodiment of the present application.
The achievement of the objects, functional features and advantages of the present application will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
The embodiment of the application provides an intelligent community digital management method based on the Internet of things. The execution subject of the intelligent community digital management method based on the Internet of things comprises at least one of electronic equipment, such as a server, a terminal and the like, which can be configured to execute the method provided by the embodiment of the application. In other words, the intelligent community digitalized management method based on the internet of things can be executed by software or hardware installed in the terminal device or the server device. The service end includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, and the like.
Example 1:
referring to fig. 1, a flowchart of an intelligent community digitalized management method based on the internet of things according to an embodiment of the invention is shown. In this embodiment, the intelligent community digital management method based on the internet of things includes:
s1, receiving an electricity analysis instruction initiated by a community client, and determining all electricity units of the community by using the electricity analysis instruction, wherein the electricity units comprise residential buildings, parking factories, public greening areas and public facility areas.
It is interpretable that electricity usage analysis instructions are typically initiated by a manager responsible for community electricity. For example, the small sheet is a power manager of a certain community, and needs to analyze the current electricity consumption condition of the community, so as to prevent the security accidents such as aging of lines, too high load and the like caused by the continuous over-high electricity consumption of the community, and thus, the electricity consumption analysis instruction is initiated.
It should be understood that communities may be functionally divided into different areas, and generally include residential buildings, parking facilities, public greening areas, and public facility areas. In order to accurately position the electricity consumption condition of communities, the embodiment of the invention adopts a parallel connection method and simultaneously analyzes the electricity consumption condition of electricity consumption units of residential buildings, parking plants, public greening areas, public facility areas and the like.
S2, acquiring the historical electricity consumption of the electricity consumption unit, and determining the daily electricity consumption attention period of the electricity consumption unit based on the historical electricity consumption.
Conceivably, the daily electricity consumption data of the electricity consumption units are recorded in the database, and the electricity consumption of the A residential building of the community where the small sheets are located is relatively higher than that of other residential buildings, so that the small sheets initiate electricity consumption analysis instructions for the A residential building in order to prevent safety accidents caused by the fact that the electricity consumption of the A residential building is too high. Therefore, further, the historical electricity consumption of A residential buildings in the first three months is called from the database.
Further, the determining a daily electricity usage period of interest of the electricity usage unit based on the historical electricity usage amount includes:
splitting the historical electricity consumption according to the daily electricity consumption condition to obtain a plurality of groups of daily electricity consumption, wherein the daily electricity consumption is obtained by sequencing the electricity consumption of each minute in each day;
removing daily electricity consumption which is smaller than or equal to an electricity consumption threshold value to obtain electricity consumption to be fitted;
and fitting a plurality of groups of power consumption to be fitted to obtain a daily power consumption attention period of the power consumption unit, wherein the daily power consumption attention period comprises a power consumption attention period starting point, a power consumption attention period end point, a power consumption valley period starting point, a power consumption valley period end point, a power consumption peak period starting point, a power consumption peak period end point, a power consumption level period starting point and a power consumption level end point.
The daily electricity consumption of the first three months of the residential building of A is obtained from the database, and it is understood that the electricity consumption is very low in part of the time period, and if the electricity consumption is considered, the excessive waste of calculation resources is caused, so that the embodiment of the invention sets the electricity consumption threshold value and rejects the daily electricity consumption smaller than or equal to the electricity consumption threshold value. For example, the electricity consumption threshold value of the residential building A is 0.1 kW.min, namely when the power consumption per minute of the electricity consumption unit is smaller than 0.1 kW.min in the daily power consumption, the residential building A is rejected until the power consumption to be fitted is obtained.
It should be explained that, when the daily electricity consumption less than or equal to the electricity consumption threshold is removed, the fitting software is used to perform electricity consumption fitting, so as to obtain the daily electricity consumption attention period of the electricity consumption unit. The electricity consumption date and the electricity consumption quantity displayed in the daily electricity consumption attention period can effectively help community electricity consumption management personnel to execute electricity consumption analysis. For example, the start point and the end point of the daily electricity utilization attention period of the residential building of a are respectively 10 a.m. to 10 a.m., the start point and the end point of the electricity utilization valley period are respectively 10 a.m. to 11 a.m., the start point and the end point of the electricity utilization peak period are respectively 7 a.m. to 10 a.m., and the start point and the end point of the electricity utilization level period are respectively 11 a.m. to 7 a.m.
And S3, constructing a load matrix of the electricity unit based on the daily electricity attention period.
It should be explained that, the load matrix of the electricity consumption unit may help the subsequent steps to perform electricity consumption analysis of the community, and in detail, the constructing the load matrix of the electricity consumption unit based on the daily electricity consumption attention period includes:
according to the starting point of the electricity utilization attention period and the final point of the electricity utilization attention period, calculating to obtain the number of hours of attention of the daily electricity utilization attention period;
taking the number of hours as a row dimension and the number of minutes as a column dimension, and constructing to obtain a null matrix;
sequentially filling the electricity consumption of each minute in the daily electricity consumption attention period into the empty matrix to obtain a load matrix, wherein the load matrix is represented by the following steps:
wherein Q is i Q i The load matrix of the ith electricity utilization unit of the community is represented, kk represents the number of hours concerned in the daily electricity utilization concerned period corresponding to the ith electricity utilization unit, and q k，j q k，j The electricity consumption of the ith electricity consumption unit at the jth minute of the kth hour is represented.
Illustratively, the starting point and the ending point of the daily electricity utilization attention period of the residential building A are respectively from 10 in the morning to 10 in the evening, so that the corresponding hours are 12 hours, namely the kk value is 12, and the row dimension of the residential building A load matrix is 12.
And S4, calculating to obtain multiple groups of electricity utilization characteristics of the electricity utilization units according to the load matrix.
In detail, the calculating according to the load matrix to obtain multiple groups of electricity utilization characteristics of the electricity utilization unit includes:
calculating a daily load according to the load matrix, wherein the daily load calculating method comprises the following steps:
fitting to obtain a change function of the load quantity changing along with time by utilizing the load quantity per minute in the load matrix;
and obtaining the daily load quantity by integrating a change function of the load quantity along with the time change, wherein an integral formula of the daily load quantity is as follows:
q d ＝∫ 1 k q(t)dt
wherein q (t) q (t) is a change function of the load amount with time, q d q d A daily load amount indicating the electricity consumption unit;
constructing matrixes of a valley period, a peak period and a level period to respectively obtain a valley period matrix, a peak period matrix and a level period matrix;
calculating a peak period load quantity by using a peak period matrix, calculating a valley period load quantity by using a valley period matrix, and calculating a flat period load quantity by using a flat period matrix;
setting the 2 nd row and 1 st column matrix elements in the load matrix as a unit synchronous monitoring starting point;
sequentially extracting the electricity consumption to be monitored from the unit synchronous monitoring starting point in the load matrix according to the sequence of time;
Extracting the same uplink electricity consumption of the electricity consumption to be monitored from the load matrix;
calculating the difference value between the electricity consumption to be monitored and the uplink electricity consumption on the same column to obtain a unit synchronous electricity consumption difference value;
and calculating the synchronous electricity utilization rate increase of the unit by using the synchronous electricity utilization difference value of the unit according to a preset electricity utilization rate increase calculation formula, wherein the electricity utilization rate increase calculation formula is as follows:
a k，j ＝2[(q k，j -q k-1，j )-(q k-1，j -q k-1，j-1 )]
wherein a is k，j a k，j A unit synchronous power up rate at the j-th minute of the k-th hour, (q) k，j -q k-1，j )(q k，j -q k-1，j ) Represents the unit synchronous electricity consumption difference value, q k，j q k，j Represents the electricity consumption to be monitored at the j-th minute of the k-th hour, q k-1， j q k-1，j Representing the electricity consumption to be monitoredThe same-column power consumption, namely the power consumption of the kth-1 h, the jth and the min in the load matrix, q k-1，j-1 q k-1，j-1 Representing the electricity consumption of the kth to the jth to the 1 min of the load matrix;
and summarizing the daily load quantity, peak load quantity, valley load quantity, flat load quantity and unit synchronous electricity utilization acceleration rate to obtain multiple groups of electricity utilization characteristics. The starting point of the unit synchronization monitoring means a starting point for starting to calculate the synchronous power up-speed, and is denoted as q in the load matrix 2,1 The uplink power consumption on the same row refers to matrix elements which are positioned on the upper row and the same column of the power consumption to be monitored in the load matrix, and when the power consumption to be monitored is q 2,1 When the power consumption of the same uplink is q 1,1 The method comprises the steps of carrying out a first treatment on the surface of the When the electricity consumption to be monitored is q 2,2 When the power consumption of the same uplink is q 1,2 The method comprises the steps of carrying out a first treatment on the surface of the The electricity consumption to be monitored is q k，j When the power consumption of the same uplink is q k-1，j And so on. The row 2 and column 1 matrix elements are q2 in the load matrix, 1 。
for example, the starting point and the ending point of the daily electricity utilization attention period of the residential building a are respectively from 10 a.m. to 10 a.m., so that the corresponding hour number k is 12 hours, and since 60 groups of electricity consumption are shared by each hour, 720 groups of electricity consumption data are shared by the residential building a in the load matrix, and therefore, the change function of the load quantity changing along with time can be obtained by fitting. And further, the daily load of the A residential buildings can be obtained by an integral method.
It can be understood that in the process of monitoring domestic electricity, the monitoring effect is not obvious due to the fact that the interval time is short, so that the monitoring period is enlarged to 1 hour, and the level average acceleration of the electricity consumption to be detected in one hour is calculated according to the principle of acceleration and path calculation. In this case, the unit time is set to 1 hour, and the initial power consumption rate is approximately set to q k-1，j -q k-1，j-1 q k-1，j -q k-1，j-1 . The monitoring period can also be adjusted as required, for example: the monitoring period is enlarged to 2 hours, and the monitoring is realThe purpose of power consumption acceleration is dynamically monitored.
In addition, the construction of the matrixes of the electricity consumption valley period, the electricity consumption peak period and the electricity consumption level period respectively obtains a valley period matrix, a peak period matrix and a flat period matrix, which are respectively as follows:
sequentially extracting valley period power consumption, peak period power consumption and flat period power consumption from the load matrix according to the valley period starting point, the valley period final dead point, the peak period starting point, the peak period final dead point, the level period starting point and the level period final dead point;
and constructing a valley period matrix, a peak period matrix and a flat period matrix based on the valley period power consumption, the peak period power consumption and the flat period power consumption.
Further, the construction method of the valley period matrix comprises the following steps:
determining the number of hours included in the electricity consumption in the valley period, and splitting the electricity consumption in the valley period according to the number of hours included in the electricity consumption in the valley period to obtain a plurality of groups of electricity consumption in the valley period;
constructing and obtaining a valley period matrix by utilizing a plurality of groups of valley period hour electricity consumption, wherein the valley period matrix is represented by the following steps:
l is more than or equal to 1, and l+s is less than or equal to k
Wherein L is i L i Valley period matrix representing ith power utilization unit, ll represents hour of starting point of power utilization valley period in daily power utilization attention period, q l，j q l，j Represents the electricity consumption of the ith electricity utilization unit at the jth minute in the electricity utilization valley period ll, q l+s， j q l+s，j And the electricity consumption of the ith electricity utilization unit at the j-th minute when l+sl+s in the electricity utilization valley period is expressed, and ss is the hour difference value between the final dead point of the electricity utilization valley period and the starting point of the electricity utilization valley period.
The starting point and the ending point of the daily electricity utilization attention period of the residential building A are respectively from 10 a.m. to 10 a.m. and from 10 a.m. to 11 a.m. respectively, so that the corresponding valley period matrix ss value is 1, namely the electricity consumption from 10 a.m. to 11 a.m. is extracted from the load matrix, and the electricity consumption is the valley period electricity consumption. Further, the valley period electricity consumption amount is determined as the valley period hour electricity consumption amount according to the above-described method (assuming that 10 in the morning to 12 in the morning are valley period electricity consumption amounts, 10 in the morning to 11 in the morning are valley period hour electricity consumption amounts of 1 st hour in the electricity consumption period, 11 in the morning to 12 in the morning are valley period hour electricity consumption amounts of 2 nd hour in the electricity consumption period, where l=10, representing starting from 10 points of the daily electricity consumption attention period). And finally, converting the valley period hour electricity consumption from 10 a.m. to 11 a.m. into a valley period matrix.
In addition, it should be explained that if the power consumption data corresponding to a part of the hours is less than 60, the embodiment of the invention adopts a solving and fitting supplementary method. If the starting point and the ending point of the electricity consumption valley period are respectively 10 a.m. to 11 a.m. 40 minutes, when the electricity consumption of the valley period of the 2 nd hour in the electricity consumption valley period is constructed from 11 a.m. to 12 a.m. 11 minutes, the electricity consumption data of 11 a.m. to 11 a.m. 40 minutes can be subjected to fitting to obtain a fitting function of the electricity consumption valley period due to the lack of the electricity consumption data of 11 a.m. 40 minutes to 12 a.m. 11 minutes, and the electricity consumption data of 11 a.m. 40 minutes to 12 a.m. is predicted by the fitting function, and finally the construction of the valley period matrix is completed.
Further, the peak period matrix and the flat period matrix are respectively represented by:
h is more than or equal to 1, and h+r is less than or equal to k
n is more than or equal to 1, and n+m is less than or equal to k
s+r+m＝k
Wherein H is i H i A peak period matrix representing the ith power utilization unit, hh represents the hour of the starting point of the power utilization peak period in the daily power utilization attention period, q h,j q h，j Represents the electricity consumption of the ith electricity unit at the jth minute in the electricity consumption peak period, q h+r， j q h+r，j Represents the j-th minute at l+sh+rh+r in the peak period of useThe electricity consumption of the ith electricity consumption unit, rr is the hour difference value between the final dead point of the electricity consumption peak period and the starting point of the electricity consumption peak period, N i N i A flat matrix representing the ith power utilization unit, nn representing the hour of the start point of the power utilization level period in the daily power utilization interest period, q h，j q h，j Represents the power consumption of the ith power consumption unit at the jth minute of the power consumption period nn, q h+r，j q n，j q n,j And the power consumption of the ith power utilization unit at the j-th minute when the power utilization period is l+sh+rn+mn+m is represented, and mm is the hour difference between the final dead point of the power utilization period and the starting point of the power utilization period.
The starting point and the ending point of the daily electricity utilization attention period of the residential building A are respectively from 10 in the morning to 10 in the evening, and the starting point and the ending point of the electricity utilization peak period are respectively from 7 in the evening to 10 in the evening, so that the corresponding peak period matrix r value is 3, namely the electricity utilization quantity from 7 in the evening to 10 in the evening is extracted from the load matrix, and the peak period electricity utilization quantity is obtained. Further, peak electricity usage is determined as peak hour electricity usage according to the method described above, where hh=19, starting from 7 pm in the daily electricity usage interest period.
As can be seen from the above description, the embodiment of the present invention constructs the matrices of different power utilization periods, including the valley period matrix, the peak period matrix and the flat period matrix. Further, the calculation method using peak load amount, valley load amount and flat load amount is similar to the calculation method using daily load amount, and will not be described here again. Thus, the electricity utilization characteristics comprise summary daily load quantity, peak load quantity, valley load quantity and flat load quantity.
In addition, the electricity utilization characteristics further comprise peak-valley load difference, a flat period time occupation ratio, a peak period time occupation ratio and a valley period time occupation ratio, wherein the calculation method of the peak-valley load difference comprises the following steps:
traversing from the valley period matrix to obtain the minimum value of the electricity consumption, and obtaining the minimum electricity consumption of the valley period;
traversing from the peak period matrix traversal to obtain the maximum value of the power consumption, and obtaining the maximum power consumption of the peak period;
calculating the difference value of the maximum electricity consumption in the peak period and the minimum electricity consumption in the valley period to obtain the peak-valley load difference; and
the calculation method of the flat period time occupation ratio, the peak period time occupation ratio and the valley period time occupation ratio comprises the following steps:
wherein, rate L rat L Represents the ratio of the valley period time and the rate H rat H Represents the ratio of peak period to time, rate N rat N Representing the flat time ratio.
In addition, it should be explained that the electricity consumption characteristics may also include other types, for example, the embodiment of the invention constructs the load matrix by using electricity consumption, and obtains the characteristics of peak load quantity, valley load quantity, flat load quantity and the like based on the load matrix. Associatively, the power value, the voltage value, the current value, the resistance value and the like of the power utilization unit at each time point can be obtained to construct a corresponding matrix, so that other types of power utilization characteristics can be obtained by continuous calculation according to the method.
And S5, inputting a plurality of groups of electricity utilization characteristics as input data into an electricity quantity analysis model, and analyzing the electricity utilization safety of the electricity utilization unit to obtain an analysis result of whether the electricity utilization is safe.
In the embodiment of the invention, the electric quantity analysis model can be constructed based on an Xgboost model, a support vector machine or a neural network, belongs to the disclosed technology, and is not described herein again. The analysis results of whether the electricity consumption of each electricity consumption unit such as a residential building, a parking plant, a public greening area, a public facility area and the like is safe or not are obtained after analysis, and the analysis of the residential building A is assumed to obtain unsafe electricity consumption, so that the electricity consumption characteristics corresponding to unsafe electricity consumption are extracted, the peak load is assumed to be too high, community management staff is also informed of obtaining unsafe electricity consumption results at the same time, and corresponding measures are needed to be taken to reduce the peak load.
And S6, when the analysis result is that electricity is safe, confirming power supply equipment for supplying power to the community, wherein the power supply equipment comprises a storage battery, an energy-saving generator and an energy-consuming generator, and calculating to obtain the load consumption power of the community according to the multiple groups of electricity utilization characteristics.
It should be explained that the accumulator may be composed of an energy storage device and an inverter, the energy-saving generator is a machine for performing power supply by using clean energy, and the energy-saving generator is a machine for performing power supply by using existing energy such as coal. And in general, for the safety of community power supply, it is preferable to use an accumulator to supply power to the community.
Further, the embodiment of the invention can predict and obtain the load consumption power of the community by combining multiple groups of electricity utilization characteristics based on the Xgboost model, the support vector machine or the neural network and other models. It should be noted that the load power consumption is the electric power consumed by the load, and represents the work performed by the load current in a unit time, and is a physical quantity describing how fast the electric power is consumed.
And S7, acquiring the power storage output power of the accumulator, judging whether the accumulator can meet the power supply requirement according to the power storage output power and the load consumption power, and if the accumulator can meet the power supply requirement, checking the phase sequence of the accumulator and then using the accumulator to supply power to the community.
It can be understood that the embodiment of the present invention determines the relationship between the power storage output power and the load consumption power, and determines whether the power supply requirement is satisfied, specifically, determining whether the accumulator can satisfy the power supply requirement according to the power storage output power and the load consumption power includes:
judging the relation between the power storage output power and the load consumption power;
if the stored output power is smaller than the load consumption power, determining that the accumulator does not meet the power supply requirement;
and if the stored output power is smaller than the load consumption power, determining that the accumulator meets the power supply requirement.
Further, the phase sequence checking means that checking whether the phase sequence of the power supply or the loop is the same based on an instrument or other means, and especially in the embodiment of the invention, since the equipment for supplying power to the community includes the accumulator, the energy-saving generator and the energy-consuming generator, if the phase or the phase sequence of the power supply is different during the switching process of the power supply equipment, a huge potential safety hazard will be generated.
Further, the checking of the phase sequence of the accumulator includes:
acquiring the phase sequence of the stored three-phase electricity generated by the accumulator and the phase sequence of a load used for executing phase sequence check in the community;
checking whether the phase sequence of the stored three-phase power is consistent with the phase sequence of the load or not, and finishing the phase sequence check of the accumulator until the phase sequence of the stored three-phase power and the phase sequence of the load are consistent with the preset reference phase sequence.
S8, if the accumulator can not meet the power supply requirement, acquiring the energy-saving power generation power of the energy-saving generator, judging whether the electric energy generated by the energy-saving generator can meet the power supply requirement according to the load consumption power and the energy-saving power generation power, and if the energy-saving generator can meet the power supply requirement, checking the phase sequence of the energy-saving generator and then using the energy-saving generator to supply power for communities.
It can be understood that, according to the load consumption power and the energy-saving power generation power, whether the electric energy generated by the energy-saving generator can meet the power supply requirement is judged, and the judging method is similar to the judging method of the accumulator. The phase sequence checking method is similar to that of the accumulator, and will not be described again here.
And S9, if the energy-saving generator cannot meet the power supply requirement, confirming the type and the number of the energy-consuming generators according to the load consumption power, and supplying power to communities based on the energy-consuming generators of the specified type and number.
As can be seen from the above explanation, the energy-consuming generator is configured to supply power to the community based on the existing resources such as coal, and the type and number of the energy-consuming generator need to be confirmed first because the existing resources such as coal are limited by quality, conversion rate and the like, and the stability of the generated electric energy is not high, so that the problem of power supply safety caused by unstable supply power of the energy-consuming generator is prevented.
Further, the determining the type and the number of the energy consumption generators according to the load consumption power includes:
all currently available energy-consuming generators are obtained, and all energy-consuming generators are combined according to the following arrangement:
wherein P is f P f Power is consumed for the load s i s i For the ii-th number of energy-consuming generators, p i p i Power generation, ω, of the ii-th energy-consuming generator i ω i For the ii-type energy consumption generator, the power loss coefficient when the coal resource is used for generating electricity is shown in mm, and the number of the energy consumption generators which are arranged and combined to meet the requirement that the power generated by the energy consumption generator is larger than the load consumption power is shown;
selecting a permutation and combination corresponding to the minimum number of energy-consuming generators which generate more power than the load consumes power to obtain an optimal permutation and combination, wherein the optimal permutation and combination comprises the number of the energy-consuming generators and the type of the selected energy-consuming generators.
It can be understood that after the use of the minimum number of energy consumption generators and the corresponding types are determined, the energy consumption generators can be utilized to generate power for supplying power to communities, so that intelligent management of power supply to communities is completed.
Compared with the problems in the background art, the method and the system for monitoring the community electricity consumption comprise the steps of receiving the electricity consumption analysis instruction initiated by the community client, determining all the electricity consumption units of the community by utilizing the electricity consumption analysis instruction, wherein the electricity consumption units comprise residential buildings, parking factories, public greening areas and public facility areas, and the method and the system for monitoring the community electricity consumption are not capable of directly acquiring the values of all ammeter voltmeters in the community, but are capable of firstly segmenting community execution units to obtain different electricity consumption units such as residential buildings, parking factories, public greening areas and public facility areas, and separately monitoring the electricity consumption condition of each electricity consumption unit, so that the intelligence of community electricity consumption management is improved. Further, the historical electricity consumption of the electricity consumption unit is obtained, the daily electricity consumption attention period of the electricity consumption unit is determined based on the historical electricity consumption, the load matrix of the electricity consumption unit is constructed based on the daily electricity consumption attention period, and it is emphasized that the load matrix can intuitively display electricity consumption conditions of each time point of each electricity consumption unit, so that multiple groups of electricity consumption characteristics of the electricity consumption unit are obtained through calculation according to the load matrix. And finally, inputting a plurality of groups of electricity utilization characteristics as input data into an electricity quantity analysis model, analyzing the electricity utilization safety of an electricity utilization unit to obtain an analysis result of whether the electricity utilization is safe, and further, when the analysis result is that the electricity utilization is safe, confirming power supply equipment for supplying power to communities, wherein the power supply equipment comprises an accumulator, an energy-saving generator and an energy-consuming generator, calculating the load consumption power of the communities according to the plurality of groups of electricity utilization characteristics, and sequentially selecting the accumulator, the energy-saving generator and the energy-consuming generator to supply power to the communities based on the type and the quantity of the accumulated output power of the accumulator, the energy-saving power generation power of the energy-saving generator and the energy-consuming generator. Therefore, the intelligent community digital management method, device, electronic equipment and computer readable storage medium based on the Internet of things provided by the invention are mainly aimed at improving the management intelligence of the intelligent community about electricity safety.
Example 2:
fig. 2 is a functional block diagram of an intelligent community digital management device based on internet of things according to an embodiment of the present invention.
The intelligent community digital management device 100 based on the Internet of things can be installed in electronic equipment. According to the implemented functions, the intelligent community digital management device 100 based on the internet of things may include an electricity analysis instruction receiving module 101, a load matrix constructing module 102, an electricity feature calculating module 103 and an electricity safety analyzing module 104. The module of the invention, which may also be referred to as a unit, refers to a series of computer program segments, which are stored in the memory of the electronic device, capable of being executed by the processor of the electronic device and of performing a fixed function.
The electricity analysis instruction receiving module 101 is configured to receive an electricity analysis instruction initiated by a community client, and determine all electricity units of the community by using the electricity analysis instruction, where the electricity units include a residential building, a parking plant, a public greening area and a public facility area;
the load matrix construction module 102 is configured to obtain a historical power consumption of the power consumption unit, determine a daily power consumption attention period of the power consumption unit based on the historical power consumption, and construct a load matrix of the power consumption unit based on the daily power consumption attention period;
The electricity utilization characteristic calculation module 103 is used for calculating and obtaining multiple groups of electricity utilization characteristics of the electricity utilization unit according to the load matrix;
the electricity consumption safety analysis module 104 is configured to input multiple sets of electricity consumption characteristics as input data to an electricity consumption analysis model, analyze electricity consumption safety of an electricity consumption unit, obtain an analysis result of whether electricity consumption is safe, determine power supply equipment for supplying electricity to a community when the analysis result is that electricity consumption is safe, wherein the power supply equipment comprises an accumulator, an energy-saving generator and an energy-consuming generator, calculate load consumption power of the community according to the multiple sets of electricity consumption characteristics, obtain electricity storage output power of the accumulator, determine whether the accumulator can meet the power supply requirement according to the electricity storage output power and the load consumption power, check a phase sequence of the accumulator, utilize the accumulator to supply electricity to the community if the accumulator can meet the power supply requirement, obtain energy-saving power generation power of the energy-saving generator if the accumulator cannot meet the power supply requirement, determine whether the energy-saving generator can meet the power supply requirement according to the load consumption power and the energy-saving power generation power, utilize the energy-saving generator to supply the energy-saving generator after checking a phase sequence of the energy-saving generator, and determine the type and the number of the energy-consuming generator and assign the energy-saving generator to the community based on the type and the number of the energy-saving generator.
In detail, the modules in the intelligent community digital management device 100 based on the internet of things in the embodiment of the present invention use the same technical means as the intelligent community digital management method based on the internet of things described in fig. 1, and can generate the same technical effects, which is not described herein.
Example 3:
fig. 3 is a schematic structural diagram of an electronic device for implementing a digital management method of an intelligent community based on the internet of things according to an embodiment of the present invention.
The electronic device 1 may comprise a processor 10, a memory 11, a bus 12 and a communication interface 13, and may further comprise a computer program stored in the memory 11 and executable on the processor 10, such as an internet of things based smart community digital management program.
The memory 11 includes at least one type of readable storage medium, including flash memory, a mobile hard disk, a multimedia card, a card memory (e.g., SD or DX memory, etc.), a magnetic memory, a magnetic disk, an optical disk, etc. The memory 11 may in some embodiments be an internal storage unit of the electronic device 1, such as a removable hard disk of the electronic device 1. The memory 11 may in other embodiments also be an external storage device of the electronic device 1, such as a plug-in mobile hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) or the like, which are provided on the electronic device 1. Further, the memory 11 may also include both an internal storage unit and an external storage device of the electronic device 1. The memory 11 may be used to store not only application software installed in the electronic device 1 and various data, such as codes of an intelligent community digital management program based on the internet of things, but also data that has been output or is to be output temporarily.
The processor 10 may be comprised of integrated circuits in some embodiments, for example, a single packaged integrated circuit, or may be comprised of multiple integrated circuits packaged with the same or different functions, including one or more central processing units (Central Processing unit, CPU), microprocessors, digital processing chips, graphics processors, combinations of various control chips, and the like. The processor 10 is a Control Unit (Control Unit) of the electronic device, connects respective components of the entire electronic device using various interfaces and lines, executes or executes programs or modules (e.g., an internet of things-based smart community digital management program, etc.) stored in the memory 11, and invokes data stored in the memory 11 to perform various functions of the electronic device 1 and process the data.
The bus may be a peripheral component interconnect standard (peripheral component interconnect, PCI) bus or an extended industry standard architecture (extended industry standard architecture, EISA) bus, among others. The bus may be classified as an address bus, a data bus, a control bus, etc. The bus is arranged to enable a connection communication between the memory 11 and at least one processor 10 etc.
Fig. 3 shows only an electronic device with components, it being understood by a person skilled in the art that the structure shown in fig. 3 does not constitute a limitation of the electronic device 1, and may comprise fewer or more components than shown, or may combine certain components, or may be arranged in different components.
For example, although not shown, the electronic device 1 may further include a power source (such as a battery) for supplying power to each component, and preferably, the power source may be logically connected to the at least one processor 10 through a power management device, so that functions of charge management, discharge management, power consumption management, and the like are implemented through the power management device. The power supply may also include one or more of any of a direct current or alternating current power supply, recharging device, power failure detection circuit, power converter or inverter, power status indicator, etc. The electronic device 1 may further include various sensors, bluetooth modules, wi-Fi modules, etc., which will not be described herein.
Further, the electronic device 1 may also comprise a network interface, optionally the network interface may comprise a wired interface and/or a wireless interface (e.g. WI-FI interface, bluetooth interface, etc.), typically used for establishing a communication connection between the electronic device 1 and other electronic devices.
The electronic device 1 may optionally further comprise a user interface, which may be a Display, an input unit, such as a Keyboard (Keyboard), or a standard wired interface, a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch, or the like. The display may also be referred to as a display screen or display unit, as appropriate, for displaying information processed in the electronic device 1 and for displaying a visual user interface.
It should be understood that the embodiments described are for illustrative purposes only and are not limited to this configuration in the scope of the patent application.
The smart community digital management program based on the internet of things stored in the memory 11 of the electronic device 1 is a combination of a plurality of instructions, which when executed in the processor 10, can implement:
receiving an electricity analysis instruction initiated by a community client, and determining all electricity units of the community by using the electricity analysis instruction, wherein the electricity units comprise residential buildings, parking factories, public greening areas and public facility areas;
Acquiring historical electricity consumption of the electricity consumption unit, and determining a daily electricity consumption attention period of the electricity consumption unit based on the historical electricity consumption;
constructing a load matrix of the electricity unit based on a daily electricity utilization attention period;
calculating to obtain multiple groups of electricity utilization characteristics of the electricity utilization units according to the load matrix;
inputting a plurality of groups of electricity utilization characteristics as input data into an electricity quantity analysis model, and analyzing the electricity utilization safety of an electricity utilization unit to obtain an analysis result of whether electricity utilization is safe or not;
when the analysis result is that the electricity is safe, confirming power supply equipment for supplying power to the community, wherein the power supply equipment comprises an accumulator, an energy-saving generator and an energy-consuming generator, and calculating to obtain the load consumption power of the community according to the multiple groups of electricity utilization characteristics;
acquiring the electric storage output power of the accumulator, and judging whether the accumulator can meet the power supply requirement according to the electric storage output power and the load consumption power;
if the accumulator can meet the power supply requirement, checking the phase sequence of the accumulator and then using the accumulator to supply power for communities;
if the accumulator can not meet the power supply requirement, acquiring the energy-saving power generation power of the energy-saving generator, and judging whether the electric energy generated by the energy-saving generator can meet the power supply requirement according to the load consumption power and the energy-saving power generation power;
If the energy-saving generator can meet the power supply requirement, checking the phase sequence of the energy-saving generator and then utilizing the energy-saving generator to supply power to communities;
if the energy-saving generator cannot meet the power supply requirement, the type and the number of the energy-consuming generators are confirmed according to the load consumption power, and the community is powered on based on the energy-consuming generators of the specified type and number.
Specifically, the specific implementation method of the above instruction by the processor 10 may refer to descriptions of related steps in the corresponding embodiments of fig. 1 to 2, which are not repeated herein.
Further, the modules/units integrated in the electronic device 1 may be stored in a computer readable storage medium if implemented in the form of software functional units and sold or used as separate products. The computer readable storage medium may be volatile or nonvolatile. For example, the computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM).
The present invention also provides a computer readable storage medium storing a computer program which, when executed by a processor of an electronic device, can implement:
Receiving an electricity analysis instruction initiated by a community client, and determining all electricity units of the community by using the electricity analysis instruction, wherein the electricity units comprise residential buildings, parking factories, public greening areas and public facility areas;
acquiring historical electricity consumption of the electricity consumption unit, and determining a daily electricity consumption attention period of the electricity consumption unit based on the historical electricity consumption;
constructing a load matrix of the electricity unit based on a daily electricity utilization attention period;
calculating to obtain multiple groups of electricity utilization characteristics of the electricity utilization units according to the load matrix;
inputting a plurality of groups of electricity utilization characteristics as input data into an electricity quantity analysis model, and analyzing the electricity utilization safety of an electricity utilization unit to obtain an analysis result of whether electricity utilization is safe or not;
when the analysis result is that the electricity is safe, confirming power supply equipment for supplying power to the community, wherein the power supply equipment comprises an accumulator, an energy-saving generator and an energy-consuming generator, and calculating to obtain the load consumption power of the community according to the multiple groups of electricity utilization characteristics;
acquiring the electric storage output power of the accumulator, and judging whether the accumulator can meet the power supply requirement according to the electric storage output power and the load consumption power;
if the accumulator can meet the power supply requirement, checking the phase sequence of the accumulator and then using the accumulator to supply power for communities;
If the accumulator can not meet the power supply requirement, acquiring the energy-saving power generation power of the energy-saving generator, and judging whether the electric energy generated by the energy-saving generator can meet the power supply requirement according to the load consumption power and the energy-saving power generation power;
if the energy-saving generator can meet the power supply requirement, checking the phase sequence of the energy-saving generator and then utilizing the energy-saving generator to supply power to communities;
if the energy-saving generator cannot meet the power supply requirement, the type and the number of the energy-consuming generators are confirmed according to the load consumption power, and the community is powered on based on the energy-consuming generators of the specified type and number.
The modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical units, may be located in one place, or may be distributed over multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional module in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units can be realized in a form of hardware or a form of hardware and a form of software functional modules.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof.
Finally, it should be noted that the above-mentioned embodiments are merely for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made to the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention.

Claims (10)

1. The intelligent community digital management method based on the Internet of things is characterized by comprising the following steps of:
receiving an electricity analysis instruction initiated by a community client, and determining all electricity units of the community by using the electricity analysis instruction, wherein the electricity units comprise residential buildings, parking factories, public greening areas and public facility areas;
acquiring historical electricity consumption of the electricity consumption unit, and determining a daily electricity consumption attention period of the electricity consumption unit based on the historical electricity consumption;
constructing a load matrix of the electricity unit based on a daily electricity utilization attention period;
calculating to obtain multiple groups of electricity utilization characteristics of the electricity utilization units according to the load matrix;
Inputting a plurality of groups of electricity utilization characteristics as input data into an electricity quantity analysis model, and analyzing the electricity utilization safety of an electricity utilization unit to obtain an analysis result of whether electricity utilization is safe or not;
when the analysis result is that the electricity is safe, confirming power supply equipment for supplying power to the community, wherein the power supply equipment comprises an accumulator, an energy-saving generator and an energy-consuming generator, and calculating to obtain the load consumption power of the community according to the multiple groups of electricity utilization characteristics;
acquiring the electric storage output power of the accumulator, and judging whether the accumulator can meet the power supply requirement according to the electric storage output power and the load consumption power;
if the accumulator can meet the power supply requirement, checking the phase sequence of the accumulator and then using the accumulator to supply power for communities;
if the accumulator can not meet the power supply requirement, acquiring the energy-saving power generation power of the energy-saving generator, and judging whether the electric energy generated by the energy-saving generator can meet the power supply requirement according to the load consumption power and the energy-saving power generation power;
if the energy-saving generator can meet the power supply requirement, checking the phase sequence of the energy-saving generator and then utilizing the energy-saving generator to supply power to communities;
if the energy-saving generator cannot meet the power supply requirement, the type and the number of the energy-consuming generators are confirmed according to the load consumption power, and the community is powered on based on the energy-consuming generators of the specified type and number.
2. The internet of things-based intelligent community digital management method of claim 1, wherein the determining a daily electricity usage period of interest of the electricity usage unit based on the historical electricity usage amount comprises:
splitting the historical electricity consumption according to the daily electricity consumption condition to obtain a plurality of groups of daily electricity consumption, wherein the daily electricity consumption is obtained by sequencing the electricity consumption of each minute in each day;
removing daily electricity consumption which is smaller than or equal to an electricity consumption threshold value to obtain electricity consumption to be fitted;
and fitting a plurality of groups of power consumption to be fitted to obtain a daily power consumption attention period of the power consumption unit, wherein the daily power consumption attention period comprises a power consumption attention period starting point, a power consumption attention period end point, a power consumption valley period starting point, a power consumption valley period end point, a power consumption peak period starting point, a power consumption peak period end point, a power consumption level period starting point and a power consumption level end point.
3. The internet of things-based intelligent community digital management method of claim 2, wherein the constructing the load matrix of the electricity unit based on the daily electricity utilization period of interest comprises:
according to the starting point of the electricity utilization attention period and the final point of the electricity utilization attention period, calculating to obtain the number of hours of attention of the daily electricity utilization attention period;
Taking the number of hours as a row dimension and the number of minutes as a column dimension, and constructing to obtain a null matrix;
sequentially filling the electricity consumption of each minute in the daily electricity consumption attention period into the empty matrix to obtain a load matrix, wherein the load matrix is represented by the following steps:
wherein Q is i Q i The load matrix of the ith electricity utilization unit of the community is represented, kk represents the number of hours concerned in the daily electricity utilization concerned period corresponding to the ith electricity utilization unit, and q k，j q k，j The electricity consumption of the ith electricity consumption unit at the jth minute of the kth hour is represented.
4. The internet of things-based intelligent community digital management method as set forth in claim 3, wherein the calculating according to the load matrix to obtain the multiple sets of electricity utilization characteristics of the electricity utilization unit includes:
calculating a daily load according to the load matrix, wherein the daily load calculating method comprises the following steps:
fitting to obtain a change function of the load quantity changing along with time by utilizing the load quantity per minute in the load matrix;
and obtaining the daily load quantity by integrating a change function of the load quantity along with the time change, wherein an integral formula of the daily load quantity is as follows:
wherein q (t) q (t) is a change function of the load amount with time, q d q d A daily load amount indicating the electricity consumption unit;
constructing matrixes of a valley period, a peak period and a level period to respectively obtain a valley period matrix, a peak period matrix and a level period matrix;
Calculating a peak period load quantity by using a peak period matrix, calculating a valley period load quantity by using a valley period matrix, and calculating a flat period load quantity by using a flat period matrix;
setting the 2 nd row and 1 st column matrix elements in the load matrix as a unit synchronous monitoring starting point;
sequentially extracting the electricity consumption to be monitored from the unit synchronous monitoring starting point in the load matrix according to the sequence of time;
extracting the same uplink electricity consumption of the electricity consumption to be monitored from the load matrix;
calculating the difference value between the electricity consumption to be monitored and the uplink electricity consumption on the same column to obtain a unit synchronous electricity consumption difference value;
and calculating the synchronous electricity utilization rate increase of the unit by using the synchronous electricity utilization difference value of the unit according to a preset electricity utilization rate increase calculation formula, wherein the electricity utilization rate increase calculation formula is as follows:
a k，j ＝2[(q k，j -q k-1，j )-(q k-1，j -q k-1，j-1 )]
wherein a is k，j a k，j A unit synchronous power up rate at the j-th minute of the k-th hour, (q) k，j -q k-1，j )(q k，j -q k-1，j ) Represents the unit synchronous electricity consumption difference value, q k，j q k，j Represents the electricity consumption to be monitored at the j-th minute of the k-th hour, q k-1，j q k-1，j Representing the same uplink electricity consumption of the electricity consumption to be monitored, namely the load matrixThe electricity consumption of the (k-1) th hour and the (j) th minute, q k-1，j-1 q k-1，j-1 Representing the electricity consumption of the kth to the jth to the 1 min of the load matrix;
And summarizing the daily load quantity, peak load quantity, valley load quantity, flat load quantity and unit synchronous electricity utilization acceleration rate to obtain multiple groups of electricity utilization characteristics.
5. The internet of things-based intelligent community digital management method of claim 4, wherein the constructing the matrices of the electricity consumption valley period, the electricity consumption peak period and the electricity consumption level period respectively obtains the valley period matrix, the peak period matrix and the flat period matrix respectively as follows:
sequentially extracting valley period power consumption, peak period power consumption and flat period power consumption from the load matrix according to the valley period starting point, the valley period final dead point, the peak period starting point, the peak period final dead point, the level period starting point and the level period final dead point;
and constructing a valley period matrix, a peak period matrix and a flat period matrix based on the valley period power consumption, the peak period power consumption and the flat period power consumption.
6. The intelligent community digital management method based on the internet of things as set forth in claim 5, wherein the valley period matrix construction method is as follows:
determining the number of hours included in the electricity consumption in the valley period, and splitting the electricity consumption in the valley period according to the number of hours included in the electricity consumption in the valley period to obtain a plurality of groups of electricity consumption in the valley period;
constructing and obtaining a valley period matrix by utilizing a plurality of groups of valley period hour electricity consumption, wherein the valley period matrix is represented by the following steps:
And l+s is less than or equal to k
Wherein L is i L i Valley period matrix representing ith power utilization unit, ll represents hour of starting point of power utilization valley period in daily power utilization attention period, q l，j q l，j Represents the jth minute at ll in the electricity consumption periodThe electricity consumption of the ith electricity consumption unit, q l+s，j q l+s，j And the electricity consumption of the ith electricity utilization unit at the j-th minute when l+sl+s in the electricity utilization valley period is expressed, and ss is the hour difference value between the final dead point of the electricity utilization valley period and the starting point of the electricity utilization valley period.
7. The intelligent community digital management method based on the internet of things as set forth in claim 6, wherein the peak period matrix and the flat period matrix are respectively represented by:
and h+r is less than or equal to k
And n+m is less than or equal to k
s+r+m＝k
Wherein H is i H i A peak period matrix representing the ith power utilization unit, hh represents the hour of the starting point of the power utilization peak period in the daily power utilization attention period, q h，j q h，j Represents the electricity consumption of the ith electricity unit at the jth minute in the electricity consumption peak period, q h+r，j q h+r，j The power consumption of the ith power consumption unit at the j-th minute in the peak period of power consumption l+sh+rh+r is represented, rr is the hour difference between the final dead point of the peak period of power consumption and the starting point of the peak period of power consumption, and N i N i A flat matrix representing the ith power utilization unit, nn representing the hour of the start point of the power utilization level period in the daily power utilization interest period, q h，j q h，j Represents the power consumption of the ith power consumption unit at the jth minute of the power consumption period nn, q h+r，j q n，j q n，j And the power consumption of the ith power utilization unit at the j-th minute when the power utilization period is l+sh+rn+mn+m is represented, and mm is the hour difference between the final dead point of the power utilization period and the starting point of the power utilization period.
8. The internet of things-based intelligent community digital management method of claim 7, wherein the electricity consumption characteristics further comprise peak-to-valley load difference, a flat period time occupation ratio, a peak period time occupation ratio and a valley period time occupation ratio, and the calculation method of the peak-to-valley load difference is as follows:
traversing from the valley period matrix to obtain the minimum value of the electricity consumption, and obtaining the minimum electricity consumption of the valley period;
traversing from the peak period matrix traversal to obtain the maximum value of the power consumption, and obtaining the maximum power consumption of the peak period;
calculating the difference value of the maximum electricity consumption in the peak period and the minimum electricity consumption in the valley period to obtain the peak-valley load difference; and
the calculation method of the flat period time occupation ratio, the peak period time occupation ratio and the valley period time occupation ratio comprises the following steps:
wherein, rate L rat L Represents the ratio of the valley period time and the rate H rat H Represents the ratio of peak period to time, rate N rat N Representing the flat time ratio.
9. The internet of things-based intelligent community digital management method of claim 8, wherein the determining the type and the number of the energy-consuming generators according to the load power consumption comprises:
All currently available energy-consuming generators are obtained, and all energy-consuming generators are combined according to the following arrangement:
wherein P is f P f Power is consumed for the load s i s i For the ii-th number of energy-consuming generators, p i p i Power generation, ω, of the ii-th energy-consuming generator i ω i For the ii-type energy consumption generator, the power loss coefficient when the coal resource is used for generating electricity is shown in mm, and the number of the energy consumption generators which are arranged and combined to meet the requirement that the power generated by the energy consumption generator is larger than the load consumption power is shown;
selecting a permutation and combination corresponding to the minimum number of energy-consuming generators which generate more power than the load consumes power to obtain an optimal permutation and combination, wherein the optimal permutation and combination comprises the number of the energy-consuming generators and the type of the selected energy-consuming generators.
10. Intelligent community digital management device based on thing networking, its characterized in that, the device includes:
the power consumption analysis instruction receiving module is used for receiving power consumption analysis instructions initiated by the community client and determining all power consumption units of the community by utilizing the power consumption analysis instructions, wherein the power consumption units comprise residential buildings, parking factories, public greening areas and public facility areas;
the load matrix construction module is used for acquiring the historical electricity consumption of the electricity consumption unit, determining a daily electricity consumption attention period of the electricity consumption unit based on the historical electricity consumption, and constructing a load matrix of the electricity consumption unit based on the daily electricity consumption attention period;
The electricity utilization characteristic calculation module is used for calculating and obtaining multiple groups of electricity utilization characteristics of the electricity utilization unit according to the load matrix;
the power consumption safety analysis module is used for inputting a plurality of groups of power consumption characteristics into the power consumption analysis model as input data, analyzing the power consumption safety of the power consumption unit to obtain an analysis result of whether the power consumption is safe, when the analysis result is power consumption safety, determining power supply equipment for supplying power to communities, wherein the power supply equipment comprises a storage device, an energy-saving generator and an energy-consuming generator, calculating load consumption power of the communities according to the plurality of groups of power consumption characteristics, acquiring the storage output power of the storage device, determining whether the storage device can meet the power supply requirement according to the storage output power and the load consumption power, if the storage device can meet the power supply requirement, checking the phase sequence of the storage device, using the storage device to supply power to the communities, if the storage device cannot meet the power supply requirement, acquiring the energy-saving power generation power of the energy-saving generator, determining whether the power generated by the energy-saving generator can meet the power supply requirement according to the load consumption power and the energy-saving power generation power, if the energy-saving generator cannot meet the power supply requirement, checking the phase sequence of the energy-saving generator, and determining the type and the quantity of the energy-consuming generator according to the load consumption power, and assigning the type and quantity of the energy-consuming generator to the communities.
CN202310618173.9A 2023-05-29 2023-05-29 Intelligent community digital management method and device based on Internet of things Active CN116664365B (en)

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