CN118014284A - Industrial power supply intelligent management method based on Internet of things - Google Patents
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Abstract
The invention relates to the technical field of power supply management, and discloses an industrial power supply intelligent management method based on the Internet of things, which comprises the steps of obtaining the type of electric equipment in a target area and power supply stage data in the current period; forming a power supply requirement of the target area through an information analysis strategy according to the power consumption data of the target area and the power supply stage data of the current period, and analyzing the power consumption condition of the target area; forming a power utilization adjustment strategy according to the power supply requirement of the target area; according to the electricity consumption adjustment strategy, adjusting electric equipment of the target area, and solving the power supply area of the target area; according to different power supply stages and power consumption requirements, intelligently adjusting the opening and closing of the electric equipment to meet the power supply requirements of a target area, and ensuring the normal operation of the electric equipment by carrying out voltage compensation on the target area; the intelligent power supply management can be realized, the power supply quality is improved, the energy consumption is reduced, and the energy utilization efficiency is improved.
Description
Technical Field
The invention relates to the technical field of power supply management, in particular to an industrial power supply intelligent management method based on the Internet of things.
Background
The intelligent management of industrial power supply is a management mode for monitoring, controlling and optimizing industrial power by utilizing intelligent technology. The method helps enterprises monitor the power consumption in real time by collecting, transmitting and analyzing industrial power consumption data, improves the power consumption efficiency and reliability, and effectively reduces the power consumption cost. Industrial power intelligent management typically includes the following functions: real-time monitoring and data acquisition: through installing equipment such as smart electric meter, electric energy instrument, carry out real-time supervision to industrial electricity to gather electric energy consumption data. Such data may include power usage, voltage fluctuations, and the like. Data analysis and optimization: and (3) analyzing the collected electric energy consumption data to find out peak and valley periods of electricity consumption and abnormal conditions of electricity consumption, thereby formulating a reasonable electricity consumption strategy. By optimizing the electricity consumption plan and balancing the electricity consumption load, the electricity consumption cost can be reduced and the electricity consumption efficiency can be improved. Remote monitoring and control: through internet and intelligent device, realize the remote monitoring and control to industrial electricity. The user can know the electricity consumption information at any time through the mobile phone, the tablet personal computer and other equipment, and remotely control the on-off state of the equipment, so that the remote management of the electric equipment is realized.
Energy consumption analysis and energy saving advice: by analyzing the electricity consumption data, equipment and a system with high energy consumption are identified, and energy saving suggestions and optimization schemes are provided. This helps the enterprise reduce the energy consumption, improves energy utilization efficiency, realizes sustainable development. The intelligent management of industrial power supply can help enterprises to realize optimization of power consumption, energy conservation and emission reduction, improve power consumption efficiency and reliability, reduce power consumption cost, and have important significance for promoting industrial development and sustainable development; and various devices, facilities and systems are connected by utilizing the internet of things technology, so that intelligent management and control of industrial electricity are realized. The following are some methods and steps of intelligent management of industrial power supply based on the internet of things: device access and connection: first, various devices, electric meters, sensors, etc. in a factory need to be connected through the internet of things technology so that they can transmit data in real time. The connection of the devices may be accomplished using bluetooth, wi-Fi, wired network, or dedicated internet of things protocols.
Data acquisition and transmission: real-time electricity data including information such as electric energy consumption, power, voltage, current and the like is collected through connected equipment and sensors. The data can be transmitted to a cloud platform or a data center through an internet of things network. Big data analysis and processing: and sending the collected electricity consumption data to a cloud platform or a data center, and processing and analyzing the data by utilizing a big data analysis technology. And finding out the rule, trend and abnormal situation of electricity consumption by data mining, machine learning and other methods, and generating related reports and charts. Real-time monitoring and control: based on the platform of the Internet of things, real-time monitoring and control of industrial electricity are realized. Through the visual interface, enterprise management personnel can look over the power consumption condition at any time, including electric energy consumption, energy consumption analysis, power supply load etc. simultaneously can remote control equipment's on-off state, realize the intelligent control to the consumer. Energy optimization and energy saving measures: through big data analysis and real-time monitoring, equipment and systems with high energy consumption are identified, and corresponding optimization schemes and energy saving suggestions are provided. The method can help enterprises to formulate effective energy management strategies, and achieve the aims of energy conservation and emission reduction. Abnormality detection and early warning: the electric equipment and the system are monitored in real time through the Internet of things platform, and when abnormal conditions occur, the system can automatically send out alarm and early warning information so as to take measures in time to repair and eliminate faults.
Most of the existing industrial power supply intelligent management limits the power consumption period and power consumption information monitoring of equipment, and most of the existing industrial power supply intelligent management needs manual operation when the power consumption state of the equipment is replaced, so that the operation is complicated; therefore, the existing requirements are not met, and an industrial power supply intelligent management method based on the Internet of things is provided.
Disclosure of Invention
The invention provides an industrial power supply intelligent management method based on the Internet of things, which is used for intelligently adjusting the opening and closing of electric equipment according to different power supply stages and power consumption requirements so as to meet the power supply requirements of a target area, and ensuring the normal operation of the electric equipment by carrying out voltage compensation on the target area; the intelligent power supply management can be realized, the power supply quality is improved, the energy consumption is reduced, and the energy utilization efficiency is improved.
The invention provides the following technical scheme: an intelligent management method for industrial power supply based on the Internet of things comprises the following steps:
Acquiring the type of electric equipment in a target area and power supply stage data of a current period;
Forming a power supply requirement of the target area through an information analysis strategy according to the power consumption data of the target area and the power supply stage data of the current period, and analyzing the power consumption condition of the target area;
forming a power utilization adjustment strategy according to the power supply requirement of the target area;
And adjusting electric equipment of the target area according to the electricity utilization adjustment strategy, wherein the electric equipment is used for solving the power supply area of the target area.
As an alternative scheme of the intelligent management method for industrial power supply based on the Internet of things, the invention comprises the following steps: the information analysis strategy specifically comprises the following steps:
Acquiring electricity consumption data of a target area, wherein the electricity consumption data of the target area comprises the types of electric equipment;
the electric equipment is divided into main demand equipment and secondary demand equipment;
The production importance of the main demand equipment is greater than the production importance of the secondary demand equipment, and the production importance is the importance degree of the electric equipment type to the production condition;
acquiring power supply stage data of a current period, wherein the power supply stage data is specifically a power supply load value of the current period and is recorded as W1;
Setting a power supply load threshold value, which is marked as W2, and judging whether the stage where the power supply load value is located is a power utilization peak section or a power utilization valley section;
comparing the power supply load value W1 with a power supply load threshold value W2;
if the power supply load value W1 is larger than or equal to the power supply load threshold value W2, the power supply load value W1 is marked as a power consumption peak section;
If the power supply load value W1 is less than the power supply load threshold value W2, the power supply load value W1 is recorded as a power consumption low segment.
As an alternative scheme of the intelligent management method for industrial power supply based on the Internet of things, the invention comprises the following steps: the information analysis strategy specifically comprises the following steps:
s1, acquiring electric load values of all electric equipment in a target area;
S2, calculating the total electricity consumption value of the target area according to the electricity load values of all the electric equipment in the target area, and marking the total electricity consumption value as E;
S3, acquiring a power supply load value W1;
s4, comparing the total power consumption value E of the target area with the power supply load value W1;
S5, if the total power consumption value E of the target area is smaller than or equal to the power supply load value W1, forming a first target area power supply requirement, and forming a first adjustment strategy according to the first target area power supply requirement;
S6, if the total power consumption value E of the target area is greater than the power supply load value W1, forming a second target area power supply requirement, and forming a second adjustment strategy according to the second target area power supply requirement.
As an alternative scheme of the intelligent management method for industrial power supply based on the Internet of things, the invention comprises the following steps: the first target area power supply requirement specifically comprises:
The first electric load difference is obtained and is marked as R1, and the method specifically comprises the following steps: first electrical load difference r1=target area total electrical value E-supply load value W1;
Setting an electric load difference value threshold, which is marked as T1, and judging whether the first electric load difference value forms a power supply requirement or not;
comparing the first electrical load difference R1 with an electrical load difference threshold T1;
if the first electric load difference value R1 is smaller than or equal to the electric load difference value threshold value T1, no judgment is formed;
If the first electrical load difference R1> the electrical load difference threshold T1, the first target area power supply requirement is: according to the first electric load difference value R1, carrying out an electric storage strategy or adding electric equipment;
the second target area power supply requirement specifically is:
Acquiring a second electric load difference value, and marking the second electric load difference value as R2;
the second electrical load difference R2 is specifically: a second electrical load difference value r2=a power supply load value W1-a target area total power consumption value E;
And according to the second electric load difference value R2, starting the secondary demand equipment is reduced so as to reach the target area total electric consumption value E=power supply load value W1.
As an alternative scheme of the intelligent management method for industrial power supply based on the Internet of things, the invention comprises the following steps: forming a first target area power supply requirement, and forming a first adjustment strategy according to the first target area power supply requirement, wherein the first adjustment strategy specifically comprises:
s510, acquiring target capacity demand of a target area, and marking the target capacity demand as F1;
S520, estimating the actual capacity of the target according to the electricity consumption data of the target area, and marking as F2;
s530, comparing the target capacity demand F1 with the target actual capacity F2;
S540, if the target capacity demand F1 is smaller than or equal to the target capacity actual quantity F2, forming a power storage strategy;
s550, if the target capacity demand F1 is smaller than the target actual capacity F2, forming an equipment adjustment strategy.
As an alternative scheme of the intelligent management method for industrial power supply based on the Internet of things, the invention comprises the following steps: the electricity storage strategy specifically comprises the following steps:
Acquiring the number of reserve power supplies which are not stored in a target area;
acquiring peak segment data of historical electricity consumption peak segments, wherein the peak segment data comprises power supply time and power supply flow;
according to the peak segment data, matching a full-available reserve power supply without electricity storage;
according to the matching result, storing electricity of the fully-fillable non-electricity-storage standby power supply;
the device adjustment strategy specifically comprises the following steps:
acquiring a voltage value of first main demand equipment to be started, and marking the voltage value as F1;
acquiring a historical voltage peak value of first main demand equipment, and marking the historical voltage peak value as F2;
comparing the historical voltage peak value F2 with a second electric load difference value R2 (judging whether the standby power supply compensation is needed at a moment when the power-on is started);
If the historical voltage peak value F2 is smaller than the second electric load difference value R2, directly starting the first main demand equipment;
If the historical voltage peak value F2 is larger than or equal to the second electric load difference value R2, acquiring the electric storage data of the standby power supply in the target area;
the stored power data includes a stored backup power supply voltage;
calculating a third electrical load difference, denoted R3, specifically: third electrical load difference r3=historical voltage peak F2-second electrical load difference R2;
extracting a third electric load difference value R3 to be matched with a corresponding stored standby power supply, and determining the standby power supply as a compensation power supply;
and starting a compensation power supply, and performing a voltage compensation strategy on the target area.
As an alternative scheme of the intelligent management method for industrial power supply based on the Internet of things, the invention comprises the following steps: the voltage compensation strategy specifically comprises the following steps:
Acquiring electric appliances of a target area, such as a first electric appliance, a second electric appliance, a third electric appliance and a fourth electric appliance;
acquiring a first electrical appliance resistor, a second electrical appliance resistor, a third electrical appliance resistor and a fourth electrical appliance resistor, and sequentially marking as X1, X2, X3 and X4;
Calculating the total resistance of a plurality of electric appliances in a target area, namely C1, and specifically:
Acquiring the wire resistance of a target area, marking the wire resistance as C2, and defaulting the wire resistance C2 of the target area to be a fixed value;
Acquiring the total voltage of a target area, and recording the total voltage as U1, wherein the total voltage U1 of the target area is the rated voltage of the electric appliances in the target area, and the rated voltage of the electric appliances in the target area is the same by default;
Calculating the required compensation power supply voltage, which is marked as U2, specifically:
matching a corresponding first compensation power supply according to the required compensation power supply voltage U2;
and starting a first compensation power supply to perform voltage compensation on the target area.
As an alternative scheme of the intelligent management method for industrial power supply based on the Internet of things, the invention comprises the following steps: : the matching of the corresponding first compensation power supply according to the required compensation power supply voltage U2 is specifically as follows:
obtaining a standby power supply type, for example, a first standby power, a second standby power, a third standby power, a fourth standby power and an Nth standby power;
the voltage of each type of standby power supply is acquired and is sequentially recorded as K1, K2, K3 and KN, wherein the first standby voltage K1 is greater than the second standby voltage K2, the third standby voltage K3 is greater than the fourth standby voltage K4 and the N is greater than the N;
The number of standby power supplies of each type is obtained and is recorded as P;
according to the required compensation power supply voltage U2, the voltage of the standby power supply is matched from large to small according to each type of the standby power supply,
Acquiring a power supply with the largest output voltage and smaller than or equal to U2 from the standby power supply and marking the power supply as a first matched power supply;
if the first matching power supply is equal to U2, directly selecting one first matching power supply;
if the first matching power supply is smaller than U2, calculating the number of the first matching power supplies;
and satisfies the first matching power supply x (N + 1) > the compensation power supply voltage U2> the first matching power supply x N,
According to the formula, firstly, N first matching power supplies are matched;
then, calculating the value of the compensation power supply voltage U2-the first matching power supply multiplied by N, and recording the value as the secondary compensation voltage,
Comparing the secondary supplemental voltage with the value of KN,
If the secondary supplementary voltage is larger than KN, the secondary supplementary voltage is regarded as the compensation power supply voltage U2, and the steps are continuously repeated;
And if the secondary supplement voltage is smaller than KN, ending.
As an alternative scheme of the intelligent management method for industrial power supply based on the Internet of things, the invention comprises the following steps: the second target area power supply requirement and the second adjustment strategy is formed according to the second target area power supply requirement, specifically:
S610, calculating a second compensation power supply voltage according to a second electric load difference value R2, and recording the second compensation power supply voltage as U3;
S620, matching the corresponding second compensation power supply type according to the second compensation power supply voltage U3;
s630, if the second electric load difference value R2=the second compensation power supply voltage U3, the second compensation power supply is started to perform voltage compensation on the target area;
S640, if the second electrical load difference R2> the second compensation power supply voltage U3, calculating a load variation value, denoted as U4, specifically: load change value u4=second electrical load difference value R2-second compensation power supply voltage U3;
S650, according to the load change value U4, reducing the turned-on secondary demand device until the second electrical load difference value r2=the second compensation power supply voltage U3 in the target area.
The invention has the following beneficial effects:
1. According to the industrial power supply intelligent management method based on the Internet of things, the power consumption condition of the target area and the power supply stage data of the current period are analyzed, and the power consumption requirement is obtained in real time, so that power consumption adjustment is carried out according to the requirement, the power supply load is optimized, and the power supply efficiency is improved; by analyzing the power consumption data and the power supply load, the electric equipment can be regulated more accurately, and excessive power supply or insufficient power supply can be avoided, thereby saving energy and reducing cost
2. According to the industrial power supply intelligent management method based on the Internet of things, the on-off of the electric equipment is intelligently adjusted according to different power supply stages and power consumption requirements so as to meet the power supply requirements of a target area, meanwhile, overload or idle of the equipment is avoided, and the operation efficiency and the service life of the equipment are improved; on the basis of real-time monitoring and analysis, a corresponding adjustment strategy is adopted to ensure that the power supply load is balanced within a normal range, thereby enhancing the reliability of a power supply system and reducing the power supply risk; by analyzing the target capacity demand and the actual capacity, a power storage strategy or a device adjustment strategy can be adopted according to the actual situation so as to meet the target capacity demand, help optimize the production plan and improve the production efficiency.
3. According to the industrial power supply intelligent management method based on the Internet of things, the quantity of the reserve power supplies without electricity storage and the historical electricity utilization peak section data are obtained, the peak section data are combined for matching and electricity storage, and the electric energy of the reserve power supplies is reasonably utilized for storage, so that the supply and demand relation is balanced, and the load pressure of the electricity utilization peak time period is reduced; judging whether the standby power supply compensation is needed according to the voltage demand and the historical voltage peak value of the first main demand equipment; if compensation is needed, matching and starting a corresponding standby power supply to compensate according to the stored power data and the calculated third electric load difference value, so that voltage adjustment of a target area is realized, the voltage of the required compensation power supply is calculated according to the resistance value, the wire resistance and the total voltage of electric appliances in the target area, by adopting the mode, the least quantity of matched power supplies can be used for the electricity consumption peak period according to the specific situation of the standby power supply prepared by an enterprise, the reduction of the using times of the power supplies is facilitated, and the voltage compensation can be effectively carried out on the target area in the mode of being beneficial to improving the service life of the standby power supply, so that the normal operation of electric equipment is ensured; the intelligent power supply management can be realized, the power supply quality is improved, the energy consumption is reduced, and the energy utilization efficiency is improved.
Drawings
Fig. 1 is a block diagram of an industrial power supply intelligent management method based on the internet of things.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The embodiment 1 aims to facilitate the solution of the problems that the existing industrial power supply intelligent management mostly limits the power consumption period and power consumption information monitoring of equipment, and mostly needs manual operation when the power consumption state of the equipment is replaced, and is more complicated, referring to fig. 1, the industrial power supply intelligent management method based on the internet of things comprises the steps of obtaining the type of the electric equipment in a target area and the power supply stage data of the current period; and forming a power supply requirement of the target area through an information analysis strategy according to the power consumption data of the target area and the power supply stage data of the current period, and analyzing the power consumption condition of the target area.
Forming a power utilization adjustment strategy according to the power supply requirement of the target area; and adjusting electric equipment of the target area according to the electricity utilization adjustment strategy, wherein the electric equipment is used for solving the power supply area of the target area.
The information analysis strategy specifically comprises the following steps: acquiring electricity consumption data of a target area, wherein the electricity consumption data of the target area comprises the types of electric equipment; the electric equipment is divided into main demand equipment and secondary demand equipment; the production importance of the main demand equipment is greater than the production importance of the secondary demand equipment, the production importance is the importance degree of the electric equipment type to the production condition, which electric equipment is critical to the production process and which electric equipment is secondary.
The power supply stage data of the current period are obtained, the power supply stage data are specifically power supply load values of the current period and are recorded as W1, the power supply load values refer to actual power consumption load sizes, and the power supply quantity required by a target area in the current period is reflected.
Setting a power supply load threshold value, which is marked as W2, and judging whether the stage where the power supply load value is located is a power utilization peak section or a power utilization valley section; the power supply load value W1 is compared with a power supply load threshold value W2.
If the power supply load value W1 is equal to or greater than the power supply load threshold value W2, the power supply load value W1 is recorded as a peak power consumption period, and the peak power consumption period refers to a period of time when the power consumption needs are most concentrated and reach a peak value, and in this period of time, the power consumption needs are usually larger, and the load of the power grid is correspondingly increased.
If the power supply load value W1 is less than the power supply load threshold value W2, the power supply load value W1 is recorded as a low power consumption period, the low power consumption period is a period in which the power demand is relatively low, the load level of the power system is relatively low, and in this period, the power demand is usually low, and the load of the power grid is correspondingly reduced.
The information analysis strategy specifically comprises the following steps: s1, acquiring electric load values of all electric equipment in a target area;
S2, calculating the total electricity consumption value of the target area according to the electricity load values of all the electric equipment in the target area, and marking the total electricity consumption value as E;
S3, acquiring a power supply load value W1;
s4, comparing the total power consumption value E of the target area with the power supply load value W1;
S5, if the total power consumption value E of the target area is smaller than or equal to the power supply load value W1, forming a first target area power supply requirement, and forming a first adjustment strategy according to the first target area power supply requirement;
S6, if the total power consumption value E of the target area is greater than the power supply load value W1, forming a second target area power supply requirement, and forming a second adjustment strategy according to the second target area power supply requirement.
In this embodiment: the power consumption condition of the target area and the power supply stage data of the current period are analyzed, and the power consumption requirement is obtained in real time, so that power consumption adjustment is carried out according to the requirement, the power supply load is optimized, and the power supply efficiency is improved; by analyzing the electricity consumption data and the power supply load, the electric equipment can be accurately adjusted, excessive power supply or insufficient power supply is avoided, and therefore energy sources are saved and cost is reduced.
Embodiment 2, which is intended to facilitate solving the problem of the power supply requirement of the target area, is an improvement made on the basis of embodiment 1, specifically, please refer to fig. 1, and the power supply requirement of the first target area is specifically: the first electric load difference is obtained and is marked as R1, and the method specifically comprises the following steps: first electrical load difference r1=target area total electrical value E-supply load value W1.
Setting an electric load difference value threshold, which is marked as T1, and judging whether the first electric load difference value forms a power supply requirement or not; the first electrical load difference R1 is compared with an electrical load difference threshold T1.
If the first electric load difference value R1 is smaller than or equal to the electric load difference value threshold value T1, no judgment is formed; if the first electrical load difference R1> the electrical load difference threshold T1, the first target area power supply requirement is: and carrying out a power storage strategy or adding electric equipment according to the first electric load difference value R1.
The second target area power supply requirement is specifically: acquiring a second electric load difference value, and marking the second electric load difference value as R2;
The second electrical load difference R2 is specifically: a second electrical load difference value r2=a power supply load value W1-a target area total power consumption value E; and according to the second electric load difference value R2, starting the secondary demand equipment is reduced so as to reach the target area total electric consumption value E=power supply load value W1.
Forming a first target area power supply requirement, and forming a first adjustment strategy according to the first target area power supply requirement, wherein the first adjustment strategy specifically comprises: s510, acquiring target capacity demand of a target area, and marking the target capacity demand as F1;
S520, estimating the actual capacity of the target according to the electricity consumption data of the target area, and marking as F2;
s530, comparing the target capacity demand F1 with the target actual capacity F2;
S540, if the target capacity demand F1 is smaller than or equal to the target capacity actual quantity F2, forming a power storage strategy;
s550, if the target capacity demand F1 is smaller than the target actual capacity F2, forming an equipment adjustment strategy.
In this embodiment: according to different power supply stages and power consumption requirements, the opening and closing of the electric equipment are intelligently adjusted to meet the power supply requirements of a target area, meanwhile, overload or idle of the equipment is avoided, and the running efficiency and the service life of the equipment are improved; on the basis of real-time monitoring and analysis, a corresponding adjustment strategy is adopted to ensure that the power supply load is balanced within a normal range, thereby enhancing the reliability of a power supply system and reducing the power supply risk; by analyzing the target capacity demand and the actual capacity, a power storage strategy or a device adjustment strategy can be adopted according to the actual situation so as to meet the target capacity demand, help optimize the production plan and improve the production efficiency.
Embodiment 3, which is intended to facilitate solving the peak electricity storage problem, is an improvement made on the basis of embodiment 1, specifically, please refer to fig. 1, and the electricity storage strategy is specifically as follows: acquiring the number of reserve power supplies which are not stored in a target area; acquiring peak segment data of historical electricity consumption peak segments, wherein the peak segment data comprises power supply time and power supply flow; according to the peak segment data, matching a full-available reserve power supply without electricity storage; and storing the full-available reserve power supply according to the matching result.
The equipment adjustment strategy comprises the steps of obtaining a first main demand equipment voltage value required to be started, and recording the first main demand equipment voltage value as F1;
acquiring a historical voltage peak value of first main demand equipment, and marking the historical voltage peak value as F2; the historical voltage peak F2 is compared with the second electrical load difference R2 (to determine whether backup power compensation is needed for a moment at start-up).
If the historical voltage peak value F2 is smaller than the second electric load difference value R2, directly starting the first main demand equipment; if the historical voltage peak value F2 is larger than or equal to the second electric load difference value R2, acquiring the electric storage data of the standby power supply in the target area;
the stored power data includes a stored backup power supply voltage; calculating a third electrical load difference, denoted R3, specifically: third electrical load difference r3=historical voltage peak F2-second electrical load difference R2; and extracting a third electric load difference value R3, matching the corresponding stored standby power supply, determining the standby power supply as a compensation power supply, starting the compensation power supply, and performing a voltage compensation strategy on the target area.
The voltage compensation strategy specifically comprises the following steps: acquiring electric appliances of a target area, such as a first electric appliance, a second electric appliance, a third electric appliance and a fourth electric appliance; acquiring a first electrical appliance resistor, a second electrical appliance resistor, a third electrical appliance resistor and a fourth electrical appliance resistor, and sequentially marking as X1, X2, X3 and X4;
Calculating the total resistance of a plurality of electric appliances in a target area, namely C1, and specifically:
Acquiring the wire resistance of a target area, marking the wire resistance as C2, and defaulting the wire resistance C2 of the target area to be a fixed value; acquiring the total voltage of a target area, and recording the total voltage as U1, wherein the total voltage U1 of the target area is the rated voltage of the electric appliances in the target area, and the rated voltage of the electric appliances in the target area is the same by default; calculating the required compensation power supply voltage, which is marked as U2, specifically:
Matching a corresponding first compensation power supply according to the required compensation power supply voltage U2; and starting a first compensation power supply to perform voltage compensation on the target area.
According to the required compensation power supply voltage U2, the corresponding first compensation power supply is matched, specifically:
Obtaining a standby power supply type, for example, a first standby power, a second standby power, a third standby power, a fourth standby power and an Nth standby power; the voltage of each type of standby power supply is acquired and is sequentially recorded as K1, K2, K3 and KN, wherein the first standby voltage K1 is greater than the second standby voltage K2, the third standby voltage K3 is greater than the fourth standby voltage K4 and the N is greater than the N; such as 50 volts for K1, 40 volts for K2, 30 volts for K3, 20 volts for K4, and 10 volts for KN; .
And obtaining the number of the standby power supplies of each type, and marking the number as P, wherein if the number of the standby power supplies of each type is the same, the number of the standby power supplies of each type is 3.
Matching according to the required compensation power supply voltage U2 and the values from large to small of the voltage of each type of standby power supply, and acquiring a power supply with the largest output voltage and smaller than or equal to U2 from the standby power supply as a first matching power supply; if the first matching power supply is equal to U2, directly selecting one first matching power supply; if the first matching power supply is smaller than U2, calculating the number of the first matching power supplies; and satisfies that the first matching power supply x (n+1) > the compensation power supply voltage U2> the first matching power supply x N, according to the above formula, N first matching power supplies are first matched; then, calculating the value of the compensation power supply voltage U2-the first matching power supply multiplied by N, recording the value as a secondary compensation voltage, comparing the value of the secondary compensation voltage with the value of KN, and if the secondary compensation voltage is larger than the KN, determining the secondary compensation voltage as the compensation power supply voltage U2, and continuously repeating the steps; if the secondary supplement voltage is smaller than KN, ending; for example, the required compensation power supply voltage U2 is 100 volts, 2 first standby power of 50 volts are required for compensation, where N is 2; for example, the required compensation supply voltage U2 is 110 volts, 1 first 50 volts of the first standby power and 1 fifth 10 volts of the fifth standby power are required for compensation.
The second target area power supply requirement and the second adjustment strategy is formed according to the second target area power supply requirement, specifically: s610, calculating a second compensation power supply voltage according to a second electric load difference value R2, and recording the second compensation power supply voltage as U3;
S620, matching the corresponding second compensation power supply type according to the second compensation power supply voltage U3;
s630, if the second electric load difference value R2=the second compensation power supply voltage U3, the second compensation power supply is started to perform voltage compensation on the target area;
S640, if the second electrical load difference R2> the second compensation power supply voltage U3, calculating a load variation value, denoted as U4, specifically: load change value u4=second electrical load difference value R2-second compensation power supply voltage U3;
S650, according to the load change value U4, reducing the turned-on secondary demand device until the second electrical load difference value r2=the second compensation power supply voltage U3 in the target area.
In this embodiment: the number of the reserve power supplies without electricity storage and the historical electricity consumption peak section data are obtained, the peak section data are combined for matching and electricity storage, and the electric energy of the reserve power supplies is reasonably utilized for storage, so that the supply and demand relation is balanced, and the load pressure of the electricity consumption peak period is reduced; judging whether the standby power supply compensation is needed according to the voltage demand and the historical voltage peak value of the first main demand equipment; if compensation is needed, matching and starting a corresponding standby power supply to compensate according to the stored power data and the calculated third electric load difference value, so that voltage adjustment of a target area is realized, the voltage of the required compensation power supply is calculated according to the resistance value, the wire resistance and the total voltage of electric appliances in the target area, by adopting the mode, the least quantity of matched power supplies can be used for the electricity consumption peak period according to the specific situation of the standby power supply prepared by an enterprise, the reduction of the using times of the power supplies is facilitated, and the voltage compensation can be effectively carried out on the target area in the mode of being beneficial to improving the service life of the standby power supply, so that the normal operation of electric equipment is ensured; the intelligent power supply management can be realized, the power supply quality is improved, the energy consumption is reduced, and the energy utilization efficiency is improved.
The electronic device in the embodiments of the present disclosure may include, but is not limited to, a mobile terminal such as a notebook computer, a PAD (tablet computer), an in-vehicle terminal (e.g., an in-vehicle navigation terminal), and the like, as well as a fixed terminal.
The electronic device may include a processing means (e.g., a central processing unit, a graphics processor, etc.) that may perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) or a program loaded from a storage means into a Random Access Memory (RAM). In the RAM, various programs and data required for the operation of the electronic device are also stored. The processing device, ROM and RAM are connected to each other via a bus. An input/output (I/O) interface is also connected to the bus.
In general, the following devices may be connected to the I/O interface: input devices including, for example, touch screens, touch pads, image sensors, microphones, and the like; output devices including, for example, liquid Crystal Displays (LCDs), speakers, etc.; storage devices including, for example, magnetic tape, hard disk, etc.; a communication device. The communication means may allow the electronic device to communicate with other devices wirelessly or by wire to exchange data.
The disclosed embodiments also provide a non-transitory computer readable storage medium storing computer instructions for causing the computer to perform the high-precision map-based driving assistance recognition method in the foregoing method embodiments.
More specific examples of a computer readable storage medium could include a portable computer diskette, a hard disk, an erasable programmable read-only memory (EPROM or flash memory), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, a computer-readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device, the computer-readable medium being embodied in the electronic device; or may exist alone without being incorporated into the electronic device.
The computer readable medium carries one or more programs which, when executed by the electronic device, enable the electronic device to implement the solutions provided by the method embodiments described above.
Computer program code for carrying out operations of the present disclosure may be written in one or more programming languages, or combinations thereof, and the program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
The foregoing is merely a preferred embodiment of the present invention, and it should be noted that it will be apparent to those skilled in the art that several modifications and variations can be made without departing from the technical principle of the present invention, and these modifications and variations should also be regarded as the scope of the invention.
Claims (9)
1. An intelligent management method for industrial power supply based on the Internet of things is characterized by comprising the following steps:
Acquiring the type of electric equipment in a target area and power supply stage data of a current period;
Forming a power supply requirement of the target area through an information analysis strategy according to the power consumption data of the target area and the power supply stage data of the current period, and analyzing the power consumption condition of the target area;
forming a power utilization adjustment strategy according to the power supply requirement of the target area;
And adjusting electric equipment of the target area according to the electricity utilization adjustment strategy, wherein the electric equipment is used for solving the power supply area of the target area.
2. The intelligent management method for industrial power supply based on the internet of things according to claim 1, wherein the intelligent management method is characterized by comprising the following steps: the information analysis strategy specifically comprises the following steps:
Acquiring electricity consumption data of a target area, wherein the electricity consumption data of the target area comprises the types of electric equipment;
the electric equipment is divided into main demand equipment and secondary demand equipment;
The production importance of the main demand equipment is greater than the production importance of the secondary demand equipment, and the production importance is the importance degree of the electric equipment type to the production condition;
acquiring power supply stage data of a current period, wherein the power supply stage data is specifically a power supply load value of the current period and is recorded as W1;
Setting a power supply load threshold value, which is marked as W2, and judging whether the stage where the power supply load value is located is a power utilization peak section or a power utilization valley section;
comparing the power supply load value W1 with a power supply load threshold value W2;
if the power supply load value W1 is larger than or equal to the power supply load threshold value W2, the power supply load value W1 is marked as a power consumption peak section;
If the power supply load value W1 is less than the power supply load threshold value W2, the power supply load value W1 is recorded as a power consumption low segment.
3. The intelligent management method for industrial power supply based on the internet of things according to claim 1, wherein the intelligent management method is characterized by comprising the following steps: the information analysis strategy specifically comprises the following steps:
s1, acquiring electric load values of all electric equipment in a target area;
S2, calculating the total electricity consumption value of the target area according to the electricity load values of all the electric equipment in the target area, and marking the total electricity consumption value as E;
S3, acquiring a power supply load value W1;
s4, comparing the total power consumption value E of the target area with the power supply load value W1;
S5, if the total power consumption value E of the target area is smaller than or equal to the power supply load value W1, forming a first target area power supply requirement, and forming a first adjustment strategy according to the first target area power supply requirement;
S6, if the total power consumption value E of the target area is greater than the power supply load value W1, forming a second target area power supply requirement, and forming a second adjustment strategy according to the second target area power supply requirement.
4. The intelligent management method for industrial power supply based on the internet of things according to claim 3, wherein the intelligent management method is characterized by comprising the following steps: the first target area power supply requirement specifically comprises:
The first electric load difference is obtained and is marked as R1, and the method specifically comprises the following steps: first electrical load difference r1=target area total electrical value E-supply load value W1;
Setting an electric load difference value threshold, which is marked as T1, and judging whether the first electric load difference value forms a power supply requirement or not;
comparing the first electrical load difference R1 with an electrical load difference threshold T1;
if the first electric load difference value R1 is smaller than or equal to the electric load difference value threshold value T1, no judgment is formed;
If the first electrical load difference R1> the electrical load difference threshold T1, the first target area power supply requirement is: according to the first electric load difference value R1, carrying out an electric storage strategy or adding electric equipment;
the second target area power supply requirement specifically is:
Acquiring a second electric load difference value, and marking the second electric load difference value as R2;
the second electrical load difference R2 is specifically: a second electrical load difference value r2=a power supply load value W1-a target area total power consumption value E;
And according to the second electric load difference value R2, starting the secondary demand equipment is reduced so as to reach the target area total electric consumption value E=power supply load value W1.
5. The intelligent management method for industrial power supply based on the internet of things according to claim 4, wherein the intelligent management method is characterized by comprising the following steps: forming a first target area power supply requirement, and forming a first adjustment strategy according to the first target area power supply requirement, wherein the first adjustment strategy specifically comprises:
s510, acquiring target capacity demand of a target area, and marking the target capacity demand as F1;
S520, estimating the actual capacity of the target according to the electricity consumption data of the target area, and marking as F2;
s530, comparing the target capacity demand F1 with the target actual capacity F2;
S540, if the target capacity demand F1 is smaller than or equal to the target capacity actual quantity F2, forming a power storage strategy;
s550, if the target capacity demand F1 is smaller than the target actual capacity F2, forming an equipment adjustment strategy.
6. The intelligent management method for industrial power supply based on the internet of things according to claim 5, wherein the intelligent management method is characterized by comprising the following steps: the electricity storage strategy specifically comprises the following steps:
Acquiring the number of reserve power supplies which are not stored in a target area;
acquiring peak segment data of historical electricity consumption peak segments, wherein the peak segment data comprises power supply time and power supply flow;
according to the peak segment data, matching a full-available reserve power supply without electricity storage;
according to the matching result, storing electricity of the fully-fillable non-electricity-storage standby power supply;
the device adjustment strategy specifically comprises the following steps:
acquiring a voltage value of first main demand equipment to be started, and marking the voltage value as F1;
acquiring a historical voltage peak value of first main demand equipment, and marking the historical voltage peak value as F2;
comparing the historical voltage peak value F2 with a second electric load difference value R2 (judging whether the standby power supply compensation is needed at a moment when the power-on is started);
If the historical voltage peak value F2 is smaller than the second electric load difference value R2, directly starting the first main demand equipment;
If the historical voltage peak value F2 is larger than or equal to the second electric load difference value R2, acquiring the electric storage data of the standby power supply in the target area;
the stored power data includes a stored backup power supply voltage;
calculating a third electrical load difference, denoted R3, specifically: third electrical load difference r3=historical voltage peak F2-second electrical load difference R2;
extracting a third electric load difference value R3 to be matched with a corresponding stored standby power supply, and determining the standby power supply as a compensation power supply;
and starting a compensation power supply, and performing a voltage compensation strategy on the target area.
7. The intelligent management method for industrial power supply based on the internet of things of claim 6, wherein the intelligent management method is characterized by comprising the following steps: the voltage compensation strategy specifically comprises the following steps:
Acquiring electric appliances of a target area, such as a first electric appliance, a second electric appliance, a third electric appliance and a fourth electric appliance;
acquiring a first electrical appliance resistor, a second electrical appliance resistor, a third electrical appliance resistor and a fourth electrical appliance resistor, and sequentially marking as X1, X2, X3 and X4;
Calculating the total resistance of a plurality of electric appliances in a target area, namely C1, and specifically:
Acquiring the wire resistance of a target area, marking the wire resistance as C2, and defaulting the wire resistance C2 of the target area to be a fixed value;
Acquiring the total voltage of a target area, and recording the total voltage as U1, wherein the total voltage U1 of the target area is the rated voltage of the electric appliances in the target area, and the rated voltage of the electric appliances in the target area is the same by default;
Calculating the required compensation power supply voltage, which is marked as U2, specifically:
matching a corresponding first compensation power supply according to the required compensation power supply voltage U2;
and starting a first compensation power supply to perform voltage compensation on the target area.
8. The intelligent management method for industrial power supply based on the Internet of things of claim 7, which is characterized in that: the matching of the corresponding first compensation power supply according to the required compensation power supply voltage U2 is specifically as follows:
obtaining a standby power supply type, for example, a first standby power, a second standby power, a third standby power, a fourth standby power and an Nth standby power;
the voltage of each type of standby power supply is acquired and is sequentially recorded as K1, K2, K3 and KN, wherein the first standby voltage K1 is greater than the second standby voltage K2, the third standby voltage K3 is greater than the fourth standby voltage K4 and the N is greater than the N;
The number of standby power supplies of each type is obtained and is recorded as P;
according to the required compensation power supply voltage U2, the voltage of the standby power supply is matched from large to small according to each type of the standby power supply,
Acquiring a power supply with the largest output voltage and smaller than or equal to U2 from the standby power supply and marking the power supply as a first matched power supply;
if the first matching power supply is equal to U2, directly selecting one first matching power supply;
if the first matching power supply is smaller than U2, calculating the number of the first matching power supplies;
and satisfies the first matching power supply x (N + 1) > the compensation power supply voltage U2> the first matching power supply x N,
According to the formula, firstly, N first matching power supplies are matched;
then, calculating the value of the compensation power supply voltage U2-the first matching power supply multiplied by N, and recording the value as the secondary compensation voltage,
Comparing the secondary supplemental voltage with the value of KN,
If the secondary supplementary voltage is larger than KN, the secondary supplementary voltage is regarded as the compensation power supply voltage U2, and the steps are continuously repeated;
And if the secondary supplement voltage is smaller than KN, ending.
9. The intelligent management method for industrial power supply based on the internet of things according to claim 4, wherein the intelligent management method is characterized by comprising the following steps: the second target area power supply requirement and the second adjustment strategy is formed according to the second target area power supply requirement, specifically:
S610, calculating a second compensation power supply voltage according to a second electric load difference value R2, and recording the second compensation power supply voltage as U3;
S620, matching the corresponding second compensation power supply type according to the second compensation power supply voltage U3;
s630, if the second electric load difference value R2=the second compensation power supply voltage U3, the second compensation power supply is started to perform voltage compensation on the target area;
S640, if the second electrical load difference R2> the second compensation power supply voltage U3, calculating a load variation value, denoted as U4, specifically: load change value u4=second electrical load difference value R2-second compensation power supply voltage U3;
S650, according to the load change value U4, reducing the turn-on of the secondary demand device until the second electrical load difference value r2=the second compensation power supply voltage U3 of the target area.
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