CN113567722B - Power control method and device for electric appliance - Google Patents
Power control method and device for electric appliance Download PDFInfo
- Publication number
- CN113567722B CN113567722B CN202110775174.5A CN202110775174A CN113567722B CN 113567722 B CN113567722 B CN 113567722B CN 202110775174 A CN202110775174 A CN 202110775174A CN 113567722 B CN113567722 B CN 113567722B
- Authority
- CN
- China
- Prior art keywords
- power
- electric
- electric appliances
- electric appliance
- supply network
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R11/00—Electromechanical arrangements for measuring time integral of electric power or current, e.g. of consumption
- G01R11/48—Meters specially adapted for measuring real or reactive components; Meters specially adapted for measuring apparent energy
- G01R11/54—Meters specially adapted for measuring real or reactive components; Meters specially adapted for measuring apparent energy for measuring simultaneously at least two of the following three variables: real component, reactive component, apparent energy
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R21/00—Arrangements for measuring electric power or power factor
- G01R21/06—Arrangements for measuring electric power or power factor by measuring current and voltage
Abstract
The invention discloses a power control method of an electrical appliance, which comprises the following steps: estimating the whole row of accessed electric appliances as an observation group according to the access condition of a historical power supply network of the preset electric appliances; judging the packet loss rate of the electric appliances in the observation group, estimating the power consumption of the electric appliances in the observation group, and determining the electric appliances needing to reduce the power; aiming at the situation of the actually accessed electric appliance, the power of the electric appliance is reduced; detecting the approach degree of the statistical average power consumption of the electric appliances actually connected into the power supply network compared with the preset bearing power; determining a polling period according to the proximity; the method comprises the steps of randomly acquiring an actual unit time accumulated energy consumption value of one of the electric appliances actually connected to a power supply network each time; and judging whether the obtained value is larger than the power value after the reduction, if so, giving an alarm, and adaptively cutting off the access of the application to the power supply network.
Description
Technical Field
The invention relates to the field of electric energy meter control, in particular to a power control method and device for an electric appliance.
Background
With the development of society, the number and the scale of the electric appliances connected to a power supply network are larger and larger, especially in factory areas, certain electricity utilization indexes are allocated to specific enterprises each year, the indexes are generally refined to different time periods, such as different time periods in daytime and at night, certain limitation is arranged on the total power of the electric appliances allowed to be connected, if the limitation is broken, certain influence is possibly brought, such as increasing the burden of the power grid, and correspondingly, the enterprises also need to pay more electricity utilization cost due to the influence of stepped electricity prices. In general, enterprises choose to deal with the mode of uniformly reducing the energy consumption of the electric appliances in corresponding time periods.
For factory enterprises, some electric appliances with the same functions can be arranged in a factory, the total working conditions of the electric appliances are expected to meet the requirements, and the specific requirements are not met for the use conditions of the individual electric appliances, in this case, if a mode of uniformly reducing power operation of each electric appliance is still adopted, the situation that the corresponding effect is rapidly reduced in an unpredictable form in a non-proportional manner although the energy consumption is reduced due to the non-linear condition of the energy consumption rate and the effect of the electric appliances can be caused.
Disclosure of Invention
An object of the present invention is to provide a method and an apparatus for controlling power of an electric appliance, so as to solve the problems in the background art.
Specifically, the invention is realized by the following technical scheme:
the utility model provides an electric appliance power control method, the electric appliance is according to the difference of moment, and access or connect out the power supply network, and every electric appliance is connected with an electric energy meter, the electric energy meter is used for detecting the power of electric appliance, and each electric energy meter is connected with the controller, the controller is used for carrying out information interaction with the electric energy meter, still is used for controlling electric appliance access or connect out the power supply network, is applied to the controller, and the method includes:
S1: estimating the electric appliances which are connected to the power supply network at the next moment according to the historical power supply network connection conditions of the preset electric appliances, and integrally classifying the estimated connected electric appliances as an observation group;
s2: judging the packet loss rate of each electric appliance in the observation group, and ensuring that the packet loss rate of the preset number of electric appliances meets the requirement;
s3: according to the historical record, the power consumption of the electric appliances in the observation group is estimated, and according to the relation between the power consumption and the preset bearing power of the power supply network, the electric appliances needing to reduce the power are determined;
s4: according to the electric appliance needing to reduce the power, aiming at the situation of the actually connected electric appliance, the power of the applied electric appliance is reduced;
s5: repeatedly counting the power consumption of the electric appliances actually connected to the power supply network, and detecting the approach degree of the counted average power consumption of the electric appliances actually connected to the power supply network compared with the preset bearing power;
s6: starting an instruction polling service, and determining a polling period according to the approach degree;
s7: in each polling period, randomly acquiring the actual accumulated energy consumption value of one of the electric appliances actually connected to the power supply network at each time;
s8: and judging whether the obtained value is larger than the power value after the reduction, if so, indicating that the current electric appliance is connected into the power supply network and the load pressure of the power supply network is brought, sending out an alarm, and adaptively cutting off the connection of the electric appliance to the power supply network.
Preferably, the step S2 includes:
s21: aiming at the electric appliances listed in the observation group, randomly determining one electric appliance as a target electric appliance, performing communication monitoring, monitoring the connection condition of the electric appliance, and judging whether the connection communication packet loss rate of the target electric appliance is smaller than a preset value;
s22: and (3) adding 1 to the first counter value, judging whether the current value of the first counter value reaches the first accumulated value, if so, executing S3, if not, judging whether all the electric appliances in the group are traversed, if so, removing the selected electric appliance group, then sending an alarm, if not, removing the selected electric appliance, and then returning to execute S21.
Preferably, the S3 may include:
s31: setting a power consumption reference value of all the electric appliances in the observation group in unit time according to the average value of the corresponding history records;
s32: judging whether the power consumption reference value of all the electric appliances in the observation group in unit time exceeds the preset bearing power of the current power supply network, if not, removing one electric appliance with the minimum power consumption, and then judging again until the bearing power of the power supply network is met.
Preferably, the S4 may include:
s41: aiming at the removed electric appliance, reducing the power of the electric appliance according to a preset proportion;
S42: after a preset time period comes, determining the electric appliance actually connected to the power supply network and the actual power thereof;
s43: and judging the total power difference of the electric appliances, and reducing the corresponding electric appliances in the original observation group according to a preset proportion when the total power exceeds the preset bearing power.
Preferably, before executing S43, the method further includes:
s43': and judging the difference of the electric appliances, and adding labels to the electric appliances which do not appear in the observation group.
The utility model provides an electric appliance power controlling means, the electric appliance is according to the difference of moment, and the power supply network is connected in or is connect out to the electric appliance, and every electric appliance is connected with an electric energy meter, the electric energy meter is used for detecting the power of electric appliance, and each electric energy meter is connected with the controller, the controller is used for carrying out information interaction with the electric energy meter, still is used for controlling electric appliance access or connect out the power supply network, as shown in fig. 5, and its characterized in that is applied to the controller, the device includes:
the observation group determining module is used for predicting the electric appliances which are accessed to the power supply network at the next moment according to the historical power supply network access condition of the preset electric appliances, and integrally listing the predicted accessed electric appliances as an observation group;
the packet loss rate detection module is used for judging the packet loss rate of each electric appliance in the observation group, so as to ensure that the packet loss rate of the preset number of electric appliances meets the requirement;
The power reduction electric appliance confirmation module is used for estimating the power consumption of the electric appliances in the observation group according to the history record and determining the electric appliances needing to reduce the power according to the relation between the power consumption and the preset bearing power of the power supply network;
the power reduction module is used for reducing the power of the application according to the requirement, and aiming at the situation of the actually connected application, the power reduction module is used for reducing the power of the application;
the approach degree determining module is used for repeatedly counting the power consumption of the electric appliances actually connected into the power supply network and detecting the approach degree of the counted average power consumption power of the electric appliances actually connected into the power supply network compared with the preset bearing power;
the polling period determining module is used for starting the command polling service and determining the polling period according to the proximity;
the unit time accumulated energy consumption statistics module is used for randomly acquiring the actual unit time accumulated energy consumption value of one of the electric appliances actually connected to the power supply network every time in each polling period;
and the early warning module is used for judging whether the acquired numerical value is larger than the power value after the reduction, if so, indicating that the current electric appliance is connected into the power supply network and the load pressure of the power supply network is brought, sending out an alarm, and adaptively cutting off the connection of the electric appliance into the power supply network.
Preferably, the packet loss rate detection module includes:
the monitoring submodule is used for randomly determining one electric appliance as a target electric appliance aiming at the electric appliances listed in the observation group, monitoring communication and connection conditions of the electric appliances, and judging whether the connection communication packet loss rate of the target electric appliance is smaller than a preset value;
and the accumulation sub-module is used for adding 1 to the first counter value, judging whether the current value of the first counter value reaches the first accumulation value, if so, sending an execution instruction to the power-down electric appliance confirmation module, if not, judging whether all electric appliances in the group are traversed, if so, removing the selected electric appliance group, sending an alarm, if not, removing the selected electric appliances, and then sending the execution instruction to the monitoring sub-module.
Preferably, the power reduction electric appliance confirmation module comprises:
the unit time power consumption reference value determining submodule is used for setting the unit time power consumption reference value of all the electric appliances in the observation group according to the average value of the corresponding historical records;
and the target electric appliance confirmation sub-module is used for judging whether the unit time power consumption reference value of all the electric appliances in the observation group exceeds the preset bearing power of the current power supply network, if not, removing one electric appliance with the minimum power consumption, and then judging again until the bearing power of the power supply network is met.
Preferably, the power reduction module includes:
the reduction determining submodule is used for reducing power of the removed electric appliance according to a preset proportion;
the actual power determination submodule is used for determining the electric appliance actually connected to the power supply network and the actual power thereof after a preset time period arrives;
the actual reduction submodule is used for judging the total power difference of the electric appliances and reducing the electric appliances corresponding to the original observation group according to a preset proportion when the total power exceeds the preset bearing power.
Preferably, the power reduction module further comprises:
and the labeling sub-module is used for judging the difference of the electric appliances and adding labels to the electric appliances which do not appear in the observation group.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic logic flow diagram of a power control method for an electrical appliance according to the present invention;
FIG. 2 is a schematic diagram of the specific flow of S2 in FIG. 1;
FIG. 3 is a schematic diagram of the specific flow of S3 in FIG. 1;
FIG. 4 is a schematic diagram of the specific flow of S4 in FIG. 1;
fig. 5 is a schematic diagram of a power control device for an electrical appliance according to the present invention.
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the invention. Rather, they are merely examples of apparatus and methods consistent with aspects of the invention as detailed in the accompanying claims.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in this specification and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any or all possible combinations of one or more of the associated listed items.
It should be understood that although the terms first, second, third, etc. may be used herein to describe various information, these information should not be limited by these terms. These terms are only used to distinguish one type of information from another. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope of the invention. The word "if" as used herein may be interpreted as "at … …" or "at … …" or "responsive to a determination", depending on the context.
The present invention will be described in detail by examples.
The invention provides a power control method of an electric appliance, wherein the electric appliances are connected into or out of a power supply network according to different moments, each electric appliance is connected with an electric energy meter, the electric energy meters are used for detecting the power of the electric appliance, each electric energy meter is connected with a controller, the controller is used for carrying out information interaction with the electric energy meter and also used for controlling the electric appliance to be connected into or out of the power supply network, as shown in figure 1, the method is applied to the controller, and the method comprises the following steps:
s1: and estimating the electric appliances which are accessed to the power supply network at the next moment according to the historical power supply network access condition of the preset electric appliances, and integrally classifying the estimated accessed electric appliances as an observation group.
Specifically, in the present application, the electrical appliance is not always connected to the power supply network, but intermittently connected to the power supply network according to a time rule, and the specific connection rule may be determined according to the connection working time of the electrical appliance. For example, when considering the limitation of the single-use duration of the electric appliance, the electric appliance cannot be connected into the power supply network all the time, and the electric appliance is in a use state, but is disconnected from the power supply network after being connected into the power supply network for a period of time, so that the electric appliance cannot be used for long-term fatigue. The access mode can be directly determined by a preset access rule, or can be a rule summarized by observing the access service condition of the electric appliance for a long time. In the present application, the access situation of the electric appliances in a specific time period in one day can be summarized through rules of multiple days, for example, when the electric appliance is in a preset time period, the electric appliances accessed into the power supply network are electric appliance 1, electric appliance 2, electric appliance 3, electric appliance 4 and electric appliance 5 in the preset time period, when the electric appliance is in the month 2, the electric appliances accessed into the power supply network in the corresponding time period are electric appliance 2, electric appliance 3, electric appliance 4, electric appliance 5 and electric appliance 6 in the corresponding time period, when the electric appliance is in the month 3, the electric appliances accessed into the power supply network in the corresponding time period are electric appliance 2, electric appliance 3, electric appliance 4, electric appliance 5 and electric appliance 7, and then a strategy of' when the electric appliance appears in the last three times, the electric appliances appear in the next time period, the electric appliances accessed into the power supply network in the corresponding time period are estimated to be electric appliance 2, electric appliance 3, electric appliance 4 and electric appliance 5 in the preset time period.
S2: and judging the packet loss rate of each electric appliance in the observation group, and ensuring that the packet loss rate of the preset number of electric appliances meets the requirement.
Before the actual electricity consumption condition of the electric appliances in the observation group is read, the packet loss rate of each electric appliance in the observation group is judged, and the packet loss rate of each electric appliance is ensured to meet the requirement. If all the packet loss rates of the electrical appliances do not meet the requirements, an alarm is sent out, and if the packet loss rates of the electrical appliances reaching the preset number meet the requirements, the packet loss rate requirements are determined to be met.
S3: and according to the history record, estimating the power consumption of the electric appliances in the observation group, and determining the electric appliances needing to reduce the power according to the relation between the power consumption and the preset bearing power of the power supply network.
And when the total power exceeds the preset bearing capacity, reducing the power of the electric appliances which belong to the original observation group and are connected into the power supply network according to the preset proportion. Specifically, the electric appliance requiring power reduction is an electric appliance determined to have smaller operating power based on long-term observation of the history of the electric appliance.
S4: and reducing the power of the application electric appliance according to the electric appliance needing to reduce the power, aiming at the situation of the actually connected electric appliance.
And when the total power exceeds the preset bearing capacity, reducing the power of the electric appliances which belong to the original observation group and are connected into the power supply network according to the preset proportion. Because the power consumption of the electric appliance with the preset proportion is reduced, the electric appliance with the smaller working power is necessarily determined through long-term observation, namely, under the premise that the electric appliance with the smaller working power participates in power consumption for a long time, the total power still exceeds the preset bearing power, namely, the fact that the electric appliance with the large power which is not removed is in working power consumption, or the electric appliance which is newly connected is in high power consumption, or both, at this time, the electric appliance which is determined to be in need of reducing the power in the prior art is required to be subjected to power reduction.
S5: and repeatedly counting the power consumption of the electric appliances actually connected into the power supply network, and detecting the approach degree of the counted average power consumption of the electric appliances actually connected into the power supply network compared with the preset bearing power.
It can be understood that if the electric appliance is kept in a continuous use state for a period of time, the average power consumption of the electric appliance approaches to a constant value, and if the user uses the electric appliance according to the daily use habit, the calculated average power consumption of the electric appliance gradually tends to the preset bearing power along with the increase of the statistics times. In practice, if the current state tends to occur, the electric appliance is indicated to operate according to the normal power, and if the current state does not tend to occur, even if the current state is far away, the current state of the electric appliance is indicated to be inconsistent with the normal state of use. Specifically, the approach degree of the power consumption average power of each electric appliance approaching to the corresponding predicted power can be calculated first, and then the approach degree average value of the electric appliances can be calculated as the approach degree of the electric appliance group. There are various approaches to calculating, for example, the distance between the average power consumption and the predicted power is defined as 1 within 2%, and the approach value is reduced by 20% every 5% until the approach is 0.
S6: and starting an instruction polling service, and determining a polling period according to the proximity.
In this step, a reference polling period is first determined, then if the proximity of a plurality of electric appliances in a group changes slowly in a preset time, the polling period is set to be longer, and if the proximity of a plurality of electric appliances in a group changes quickly in a preset time, the polling period is set to be shorter, wherein the slow and quick directions are opposite, the judgment can be performed based on a preset change duration, the long and short directions of the periods are also opposite, and the judgment can be performed based on a preset period value. In the application, by adopting the polling period setting mode, the average power consumption of the changed electric appliance can be timely and accurately acquired, a unified excessively short polling period is not required to be set up for a long time, and when the polling period is excessively short, the power consumption information of the electric appliance can be accurately acquired, but the hardware damage to the corresponding controller and the electric energy meter is larger, and the conditions of saturated mobilization and excessive use of hardware equipment resources are easy to occur.
S7: and in each polling period, the accumulated energy consumption value of the actual unit time of one of the electric appliances actually connected to the power supply network is randomly acquired each time.
After the polling is started, the actual energy consumption value of the electric appliance in unit time is randomly acquired each time, and specifically, the actual energy consumption value in unit time is the accumulated energy consumption value acquired by the polling duration time divided by the polling duration time.
S8: and judging whether the obtained value is larger than the power value after the reduction, if so, indicating that the current electric appliance is connected into the power supply network and the load pressure of the power supply network is brought, sending out an alarm, and adaptively cutting off the connection of the electric appliance to the power supply network.
In the invention, the power grid overload condition possibly generated by the future time of the electric appliance is prejudged by analyzing the historical use condition of the electric appliance, and the specific electric appliance is subjected to power change according to the prejudged condition, so that the overall load of a power supply network can be reduced, the overall use effect of the electric appliance is not influenced, and the balance of safety and effectiveness is achieved.
Specifically, as shown in fig. 2, the S2 may include:
s21: and aiming at the electric appliances listed in the observation group, randomly determining one electric appliance as a target electric appliance, performing communication monitoring, monitoring the connection condition of the electric appliance, and judging whether the connection communication packet loss rate of the target electric appliance is smaller than a preset value.
The first situation is that although the target electric appliance is possibly accessed into the power supply network at the next moment, the current moment is already connected in the power supply network and normal data detection is performed, and for the situation, the communication situation is monitored directly; in another case, the target electric appliance is not switched on in the power supply network at the current moment, and aiming at the situation, the electric energy meter can send a handshake instruction to the application electric appliance, and the reply situation of the electric appliance to the handshake instruction can be directly monitored.
The power consumption value of the random determined electric appliance in the observation group is possibly larger or smaller than the normal value in actual transmission in future, the binary digits of the transmitted value also have larger difference, the transmission packet loss rate of the random determined electric appliance is detected, the random determined electric appliance is marked with a mark of 'transmission unreliable' under the condition that the transmission data of the random determined electric appliance is not reliable, the random determined target electric appliance in the group is further detected, and when a preset amount of target electric appliances in the group are marked as 'transmission unreliable', alarm information is sent to the management background. By adopting the method, less resources are consumed for detecting the packet loss rate of the electric appliances, and the packet loss rate detection of all the electric appliances is not needed; moreover, the detected power consumption of the electric appliance is distributed uniformly, and the electric appliance with large total energy consumption ratio is not detected only, but also the electric appliance with smaller total energy consumption ratio is ignored.
S22: and (3) adding 1 to the first counter value, judging whether the current value of the first counter value reaches the first accumulated value, if so, executing S3, if not, judging whether all the electric appliances in the group are traversed, if so, removing the selected electric appliance group, then sending an alarm, if not, removing the selected electric appliance, and then returning to execute S21.
The first counter is specially used for counting the number of the electric appliances with the packet loss rate smaller than a preset value, the initial value of the first counter is 0, the transmission reliability of the current standard electric appliance is met when the connection communication packet loss rate of the target electric appliance is smaller than the preset value, the accumulated value of the first counter is automatically added with 1, when the count reaches the preset value, the electric appliances in the current observation group are mostly reliable in transmission, the next operation can be performed, and if the count does not reach the preset value, all the electric appliances in the current observation group are detected in a traversing mode, the observation group is redetermined according to the previous rule. Specifically, if yes, the selected electric appliance group is removed, and then an alarm is sent out, so that the possibility of packet loss of data of all the electric appliances is indicated.
Specifically, as shown in fig. 3, the S3 may include:
s31: and setting a power consumption reference value of all the electric appliances in the observation group in unit time according to the average value of the corresponding history records.
For example, the power consumption reference value per unit time of the entire electric appliances is determined from the average value of the historical electric records of the electric appliances in the observation group. Specifically, for each electric appliance which is selected into the observation group, the average value of the electric appliances corresponding to the total electric consumption in the corresponding time is determined, and the average values are summed to obtain the power consumption reference value of all the electric appliances in unit time.
Specifically, statistics of historical electricity consumption rules can be performed for each electric appliance, for example, for the electric appliance of the first air conditioner of a factory building, total electricity consumption of the electric appliance in different periods is counted and stored, for example, from 0 point in each day, the electricity consumption of each half hour is accumulated, and thus, the electricity consumption of a specific time period can be obtained only by giving the time period. When such statistics is performed for a plurality of times, for example, the statistics is performed for one month, the user can approximately know the use condition of the electric appliance, namely the first air conditioner of the factory building, every day in the counted one month time, and it can be understood that when the minimum dimension of the statistics is small enough, for example, the statistics is performed once every 10 minutes, the total electricity consumption of the electric appliance in a more specific time period can be obtained more accurately. Taking the first air conditioner of the factory building as an example, if the air conditioner is installed in the factory building for the first time, that is, if the corresponding step of the application is to be executed, the relevant statistical information of the total electricity consumption of the electric appliance in history cannot be obtained, the service condition similar to the rule of using the television can be recommended to the user through a client interface of man-machine interaction, and the user can select the service condition. For example, if the factory building is a night shift factory building, the usual working time of workers is 8 a.m. to 5 a.m., the factory building is not used by workers in the time period, corresponding air conditioners are not used by workers in the time period, the factory building is used by 6 a.m. to 5 a.m. then the personnel responsible for recording can manually select the time of using the air conditioners from 6 a.m. to 5 a.m. through a man-machine interaction client interface, the man-machine interaction client is also connected with a remote server, running power information of the air conditioners with different brands is stored in the remote server for selection by users, the users can select the air conditioners with corresponding brands through the man-machine interaction interface, and thus, the total consumption value of the air conditioners in any time period can be automatically calculated, and the calculated total consumption value is used as the total consumption electric quantity of the air conditioners in different periods.
If the total power consumption predicted value of each electric appliance in the current starting process is to be predicted, the current time point can be firstly determined, then the current time point is called through the history record, for example, in the next month, the electric appliance which is nearest to the current time point and is later than the current time point in each day stops working time point, the average value of the time points is calculated, the calculated average value time point is used as the predicted stopping time point, and then the power consumption from the current time point to the predicted stopping time point in the history is called, and the average value is used as the total power consumption predicted value in the current starting process.
S32: judging whether the power consumption reference value of all the electric appliances in the observation group in unit time exceeds the preset bearing power of the current power supply network, if not, removing one electric appliance with the minimum power consumption, and then judging again until the bearing power of the power supply network is met.
The preset bearing power is a power consumption determined according to the power consumption of the electrical appliance which is historically connected to the power supply network at the moment, for example, the preset bearing power is 1.5 times of the average power consumption of the electrical appliance which is historically connected to the power supply network at the moment.
Specifically, as shown in fig. 4, the S4 may include:
S41: and aiming at the removed electric appliance, carrying out power reduction on the electric appliance according to a preset proportion.
According to the above rule, the removed electric appliance is the electric appliance with the smallest power consumption which is reserved at present, that is, the electric appliance of the type is further reduced in power in time, and the work of the total electric appliance is not greatly influenced, which has a very great effect on equipment such as a factory air conditioner. It can be understood that, when the air conditioner is in operation, the basic functions of maintaining the operation of the fan and the operation of the compressor consume a certain amount of energy, and due to the existence of the certain energy consumption, the operation of the air conditioner has a certain critical point, when the power of the air conditioner is greater than a critical point, the refrigerating effect is further improved along with the increase of the power, and when the power of the air conditioner is less than the critical point, even if only a small amount of power is reduced, the refrigerating effect of the air conditioner is greatly reduced.
Because of this phenomenon, the power and the cooling effect of the air conditioner do not change linearly, when the total power that can be provided by the power supply network is fixed, it is not desirable to reduce the power of the air conditioner that consumes larger power, because a small reduction of the power may bring about an air conditioner that has excellent cooling effect, and the variable cooling effect is too poor, i.e. if the deterioration of the cooling effect matched with the reduction of the power is acceptable and predictable, but the nonlinear excessive deterioration of the cooling effect is not proportional to the reduced power and unacceptable, and the reduction is also not predictable due to the characteristics of each air conditioner. Therefore, when the power needs to be reduced, the air conditioner with lower (preferably lowest) original power is preferably selected for power reduction, and it can be understood that the air conditioner with lower original power ratio is further reduced according to the preset proportion, so that the influence on the refrigerating effect of the whole air conditioning group is necessarily minimum.
S42: and after the preset time period comes, determining the electric appliance actually connected to the power supply network and the actual power thereof.
Before this step, the calculation is performed on the estimated electric appliance group, and the actually accessed electric appliance may be different from the estimated electric appliance group.
S43: and judging the total power difference of the electric appliances, and reducing the corresponding electric appliances in the original observation group according to a preset proportion when the total power exceeds the preset bearing power.
And when the total power exceeds the preset bearing capacity, reducing the power of the electric appliances which belong to the original observation group and are connected into the power supply network according to the preset proportion. Because the power consumption of the electric appliance with the preset proportion is reduced, the electric appliance which is determined to have smaller working power through long-term observation is necessary, namely, under the premise that the electric appliances with smaller working power participate in power consumption for a long time, the total power still exceeds the preset bearing power, namely, the fact that the large-power electric appliance which is not removed is in power consumption is indicated, or the newly connected electric appliance is in high-power consumption, or both, the electric appliances which are connected into the power supply network still need to be subjected to power reduction according to the preset proportion according to the analysis of the reasons, so that the load of the power supply network is reduced as much as possible on the premise that the total working capacity of the electric appliances is not changed greatly.
Further, before executing S43, the method further includes:
s43': and judging the difference of the electric appliances, and adding labels to the electric appliances which do not appear in the observation group.
Marking out that the electric appliances which are connected into the power supply network but do not appear in the estimated observation group, because the marked electric appliances exist, namely the original estimated 'inaccurate' is described, the estimated rule needs to be corrected, the marked number is increased for the electric appliances connected into the power supply network, namely the more marked numbers are for a preset time period, the larger the probability that the electric appliances enter the observation group when the electric appliances in the preset time period are connected into the estimation group is, one way can be adopted is as follows: if a certain electric appliance does not enter according to the above-mentioned entering rule, a subset which is linearly and positively related to the number of marks and is in the interval [0,1] is set as an entering subset, and the entering subsets of all the electric appliances which are not entered are disjoint, and the union of the entering subsets is [0,1], then an equal probability random number in the interval [0,1] is generated, and the electric appliance corresponding to the entering subset where the random number is located is selected as the electric appliance of the entering observation group.
The invention also provides a power control device of the electric appliance, the electric appliances are connected into or out of the power supply network according to different moments, each electric appliance is connected with an electric energy meter, the electric energy meters are used for detecting the power of the electric appliance, each electric energy meter is connected with a controller, the controller is used for carrying out information interaction with the electric energy meter, and also used for controlling the electric appliance to be connected into or out of the power supply network, as shown in fig. 5, the device is applied to the controller, and the device comprises:
and the observation group determining module is used for estimating the electric appliances which are accessed to the power supply network at the next moment according to the historical power supply network access condition of the preset electric appliances, and integrally listing the estimated accessed electric appliances as an observation group.
The packet loss rate detection module is used for judging the packet loss rate of each electric appliance in the observation group, and ensuring that the packet loss rate of the preset number of electric appliances meets the requirement.
The power reduction electric appliance confirmation module is used for estimating the power consumption of the electric appliances in the observation group according to the history record and determining the electric appliances needing to reduce the power according to the relation between the power consumption and the preset bearing power of the power supply network.
And the power reduction module is used for reducing the power of the application according to the requirement, and aiming at the situation of the actually-connected application, the power reduction module is used for reducing the power of the application.
And the approach degree determining module is used for repeatedly counting the power consumption of the electric appliances actually connected into the power supply network and detecting the approach degree of the counted average power consumption of the electric appliances actually connected into the power supply network compared with the preset bearing power.
And the polling period determining module is used for starting the command polling service and determining the polling period according to the proximity.
And the unit time accumulated energy consumption statistics module is used for randomly acquiring the actual unit time accumulated energy consumption value of one of the electric appliances actually connected to the power supply network every time in each polling period.
And the early warning module is used for judging whether the acquired numerical value is larger than the power value after the reduction, if so, indicating that the current electric appliance is connected into the power supply network and the load pressure of the power supply network is brought, sending out an alarm, and adaptively cutting off the connection of the electric appliance into the power supply network.
Specifically, the packet loss rate detection module may include:
and the monitoring sub-module is used for randomly determining one electric appliance as a target electric appliance aiming at the electric appliances listed in the observation group, monitoring communication and connection conditions of the electric appliances, and judging whether the connection communication packet loss rate of the target electric appliance is smaller than a preset value.
And the accumulation sub-module is used for adding 1 to the first counter value, judging whether the current value of the first counter value reaches the first accumulation value, if so, sending an execution instruction to the power-down electric appliance confirmation module, if not, judging whether all electric appliances in the group are traversed, if so, removing the selected electric appliance group, sending an alarm, if not, removing the selected electric appliances, and then sending the execution instruction to the monitoring sub-module.
Specifically, the power reduction electrical appliance confirmation module may include:
and the unit time power consumption reference value determining submodule is used for setting the unit time power consumption reference value of all the electric appliances in the observation group according to the average value of the corresponding historical records.
And the target electric appliance confirmation sub-module is used for judging whether the unit time power consumption reference value of all the electric appliances in the observation group exceeds the preset bearing power of the current power supply network, if not, removing one electric appliance with the minimum power consumption, and then judging again until the bearing power of the power supply network is met.
Specifically, the power reduction module may include:
and the reduction determining submodule is used for reducing the power of the removed electric appliance according to a preset proportion.
The actual power determination submodule is used for determining the electric appliance actually connected to the power supply network and the actual power thereof after the preset time period arrives.
The actual reduction submodule is used for judging the total power difference of the electric appliances and reducing the electric appliances corresponding to the original observation group according to a preset proportion when the total power exceeds the preset bearing power.
Further, the power reduction module further includes:
and the labeling sub-module is used for judging the difference of the electric appliances and adding labels to the electric appliances which do not appear in the observation group.
Marking out that the electric appliances which are connected into the power supply network but do not appear in the estimated observation group, because the marked electric appliances exist, namely the original estimated 'inaccurate' is described, the estimated rule needs to be corrected, the marked number is increased for the electric appliances connected into the power supply network, namely the more marked numbers are for a preset time period, the larger the probability that the electric appliances enter the observation group when the electric appliances in the preset time period are connected into the estimation group is, one way can be adopted is as follows: if a certain electric appliance does not enter according to the above-mentioned entering rule, a subset which is linearly and positively related to the number of marks and is in the interval [0,1] is set as an entering subset, and the entering subsets of all the electric appliances which are not entered are disjoint, and the union of the entering subsets is [0,1], then an equal probability random number in the interval [0,1] is generated, and the electric appliance corresponding to the entering subset where the random number is located is selected as the electric appliance of the entering observation group.
In the invention, the power grid overload condition possibly generated by the future time of the electric appliance is prejudged by analyzing the historical use condition of the electric appliance, and the specific electric appliance is subjected to power change according to the prejudged condition, so that the overall load of a power supply network can be reduced, the overall use effect of the electric appliance is not influenced, and the balance of safety and effectiveness is achieved.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather to enable any modification, equivalent replacement, improvement or the like to be made within the spirit and principles of the invention. It should be noted that, in the present specification, each embodiment is described in a progressive manner, and each embodiment is mainly described as different from other embodiments, and identical and similar parts between the embodiments are all enough to be referred to each other. For the apparatus class embodiments, the description is relatively simple as it is substantially similar to the method embodiments, and reference is made to the description of the method embodiments for relevant points.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. The apparatus embodiments described above are merely illustrative, for example, of the flowcharts and block diagrams in the figures that illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present invention may be integrated together to form a single part, or each module may exist alone, or two or more modules may be integrated to form a single part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes. 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. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
Claims (6)
1. The utility model provides a power control method of electrical apparatus, electrical apparatus is according to the difference of moment, and the power supply network is connected in or is connect out to the electrical apparatus, and every electrical apparatus is connected with an electric energy meter, the electric energy meter is used for detecting the power of electrical apparatus, and each electric energy meter is connected with the controller, the controller is used for carrying out information interaction with the electric energy meter, still is used for controlling electrical apparatus access or connect out the power supply network, and characterized in that is applied to the controller, and the method includes:
s1: estimating the electric appliances which are connected to the power supply network at the next moment according to the historical power supply network connection conditions of the preset electric appliances, and integrally classifying the estimated connected electric appliances as an observation group;
s2: judging the packet loss rate of each electric appliance in the observation group, and ensuring that the packet loss rate of the preset number of electric appliances meets the requirement;
s3: according to the historical record, the power consumption of the electric appliances in the observation group is estimated, and according to the relation between the power consumption and the preset bearing power of the power supply network, the electric appliances needing to reduce the power are determined;
s4: according to the electric appliance needing to reduce the power, aiming at the situation of the actually connected electric appliance, the power of the applied electric appliance is reduced;
s5: repeatedly counting the power consumption of the electric appliances actually connected to the power supply network, and detecting the approach degree of the counted average power consumption of the electric appliances actually connected to the power supply network compared with the preset bearing power;
S6: starting an instruction polling service, and determining a polling period according to the approach degree;
s7: in each polling period, randomly acquiring the actual accumulated energy consumption value of one of the electric appliances actually connected to the power supply network at each time;
s8: judging whether the obtained value is larger than the power value after reduction, if so, indicating that the current electric appliance is connected to the power supply network and the load pressure of the power supply network is brought, sending out an alarm, and adaptively cutting off the connection of the application electric appliance to the power supply network;
wherein, the S3 includes:
s31: setting a power consumption reference value of all the electric appliances in the observation group in unit time according to the average value of the corresponding history records;
s32: judging whether the power consumption reference value of all the electric appliances in the observation group in unit time exceeds the preset bearing power of the current power supply network, if so, removing one electric appliance with the minimum power consumption, and then judging again until the preset bearing power of the power supply network is met;
wherein, the S4 includes:
s41: aiming at the removed electric appliance, reducing the power of the electric appliance according to a preset proportion;
s42: after the estimated next time comes, determining the electric appliance actually connected to the power supply network and the actual power thereof;
S43: and judging the total power difference of the electric appliances, and reducing the corresponding electric appliances in the original observation group according to a preset proportion when the total power exceeds the preset bearing power.
2. The method according to claim 1, wherein S2 comprises:
s21: aiming at the electric appliances listed in the observation group, randomly determining one electric appliance as a target electric appliance, performing communication monitoring, monitoring the connection condition of the electric appliance, and judging whether the connection communication packet loss rate of the target electric appliance is smaller than a preset value;
s22: the first counter is a counter specially set for counting the number of the electric appliances with the packet loss rate smaller than a preset value, the accumulated value of the first counter is automatically added with 1 each time the connection communication packet loss rate of the target electric appliance is smaller than the preset value, whether the current value of the first counter reaches the first accumulated value is judged, if yes, S3 is executed, whether all the electric appliances in the group are traversed is judged, if yes, the selected electric appliance group is removed, an alarm is sent out, if not, the selected electric appliances are removed, and then S21 is executed.
3. The method of claim 1, further comprising, prior to performing S43:
s43': and judging the difference of the electric appliances, and adding labels to the electric appliances which do not appear in the observation group.
4. The utility model provides an electric power control device for electrical apparatus, the electrical apparatus is according to the difference of moment, inserts or connect out the power supply network, and every electrical apparatus is connected with an electric energy meter, the electric energy meter is used for detecting the power of electrical apparatus for use, and each electric energy meter is connected with the controller, the controller is used for carrying out information interaction with the electric energy meter, still is used for controlling electrical apparatus access or connect out the power supply network, its characterized in that, the device includes:
the observation group determining module is used for predicting the electric appliances which are accessed to the power supply network at the next moment according to the historical power supply network access condition of the preset electric appliances, and integrally listing the predicted accessed electric appliances as an observation group;
the packet loss rate detection module is used for judging the packet loss rate of each electric appliance in the observation group, so as to ensure that the packet loss rate of the preset number of electric appliances meets the requirement;
the power reduction electric appliance confirmation module is used for estimating the power consumption of the electric appliances in the observation group according to the history record and determining the electric appliances needing to reduce the power according to the relation between the power consumption and the preset bearing power of the power supply network;
the power reduction module is used for reducing the power of the application according to the requirement, and aiming at the situation of the actually connected application, the power reduction module is used for reducing the power of the application;
The approach degree determining module is used for repeatedly counting the power consumption of the electric appliances actually connected into the power supply network and detecting the approach degree of the counted average power consumption power of the electric appliances actually connected into the power supply network compared with the preset bearing power;
the polling period determining module is used for starting the command polling service and determining the polling period according to the proximity;
the unit time accumulated energy consumption statistics module is used for randomly acquiring the actual unit time accumulated energy consumption value of one of the electric appliances actually connected to the power supply network every time in each polling period;
the early warning module is used for judging whether the acquired numerical value is larger than the power value subjected to reduction, if so, indicating that the current electric appliance is connected to the power supply network and the load pressure of the power supply network is brought, sending an alarm, and adaptively cutting off the connection of the application electric appliance to the power supply network;
wherein, power reduction electrical apparatus confirms the module and includes:
the unit time power consumption reference value determining submodule is used for setting the unit time power consumption reference value of all the electric appliances in the observation group according to the average value of the corresponding historical records;
the target electric appliance confirmation sub-module is used for judging whether the power consumption reference value of all electric appliances in the observation group in unit time exceeds the preset bearing power of the current power supply network, if so, removing one electric appliance with the minimum power consumption, and then judging again until the preset bearing power of the power supply network is met;
Wherein the power reduction module comprises:
the reduction determining submodule is used for reducing power of the removed electric appliance according to a preset proportion;
the actual power determination submodule is used for determining the electric appliance actually connected to the power supply network and the actual power thereof after the next estimated time comes;
the actual reduction submodule is used for judging the total power difference of the electric appliances and reducing the electric appliances corresponding to the original observation group according to a preset proportion when the total power exceeds the preset bearing power.
5. The apparatus of claim 4, wherein the packet loss rate detection module comprises:
the monitoring submodule is used for randomly determining one electric appliance as a target electric appliance aiming at the electric appliances listed in the observation group, monitoring communication and connection conditions of the electric appliances, and judging whether the connection communication packet loss rate of the target electric appliance is smaller than a preset value;
the accumulation sub-module is used for counting the number of the electric appliances with the packet loss rate smaller than a preset value, the accumulation value of the first counter is automatically added with 1 each time the connection communication packet loss rate of the target electric appliance is smaller than the preset value, whether the current value of the first counter reaches the first accumulation value is judged, if yes, an execution instruction is sent to the power-down electric appliance confirmation module, if not, whether all the electric appliances in the group are traversed is judged, if yes, the selected electric appliance group is removed, an alarm is sent out, if not, the selected electric appliances are removed, and then the execution instruction is sent to the monitoring sub-module.
6. The apparatus of claim 4, wherein the power reduction module further comprises:
and the labeling sub-module is used for judging the difference of the electric appliances and adding labels to the electric appliances which do not appear in the observation group.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110775174.5A CN113567722B (en) | 2021-07-08 | 2021-07-08 | Power control method and device for electric appliance |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110775174.5A CN113567722B (en) | 2021-07-08 | 2021-07-08 | Power control method and device for electric appliance |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113567722A CN113567722A (en) | 2021-10-29 |
| CN113567722B true CN113567722B (en) | 2023-05-26 |
Family
ID=78164173
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110775174.5A Active CN113567722B (en) | 2021-07-08 | 2021-07-08 | Power control method and device for electric appliance |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113567722B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114184836A (en) * | 2021-12-06 | 2022-03-15 | 宁夏隆基宁光仪表股份有限公司 | Intelligent electric meter and power monitoring method applied to intelligent electric meter |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CA2713702A1 (en) * | 2008-02-01 | 2009-08-06 | Energy Hub | System and method for home energy monitor and control |
| WO2011148215A1 (en) * | 2010-05-27 | 2011-12-01 | Nokia Corporation | Method and apparatus for estimating remaining operating time |
| CN103444039A (en) * | 2011-03-24 | 2013-12-11 | 迅应科技有限公司 | Energy consumption management |
| CN104734176A (en) * | 2013-12-23 | 2015-06-24 | 阳光电源股份有限公司 | Island detection method and device |
| CN107478926A (en) * | 2017-07-14 | 2017-12-15 | 宁波三星医疗电气股份有限公司 | A kind of electricity consumption monitoring arrangement and method |
| CN110514889A (en) * | 2019-07-19 | 2019-11-29 | 浙江万胜智能科技股份有限公司 | A kind of method and system of non-intrusion type household electricity remained capacity |
| CN110768244A (en) * | 2019-10-14 | 2020-02-07 | 珠海格力电器股份有限公司 | Energy management system and control method thereof |
| CN111414070A (en) * | 2020-03-06 | 2020-07-14 | 苏州浪潮智能科技有限公司 | Case power consumption management method and system, electronic device and storage medium |
| CN112415963A (en) * | 2020-11-13 | 2021-02-26 | 珠海格力电器股份有限公司 | Building-level energy control method, control device and system and processor |
Family Cites Families (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6525531B2 (en) * | 1996-01-17 | 2003-02-25 | Allegro, Microsystems, Inc. | Detection of passing magnetic articles while adapting the detection threshold |
| US7039532B2 (en) * | 2001-06-28 | 2006-05-02 | Hunter Robert R | Method and apparatus for reading and controlling utility consumption |
| US7174260B2 (en) * | 2004-04-01 | 2007-02-06 | Blue Line Innovations Inc. | System and method for reading power meters |
| JP4987068B2 (en) * | 2007-02-27 | 2012-07-25 | 三菱電機株式会社 | AC electric quantity measuring device |
| US8700187B2 (en) * | 2007-08-28 | 2014-04-15 | Consert Inc. | Method and apparatus for actively managing consumption of electric power supplied by one or more electric utilities |
| US20140095091A1 (en) * | 2009-03-11 | 2014-04-03 | Novatel Wireless, Inc. | METHODS AND APPARATUS FOR MODELING, MONITORING, ESTIMATING and CONTROLLING POWER CONSUMPTION IN BATTERY-OPERATED DEVICES |
| US9161258B2 (en) * | 2012-10-24 | 2015-10-13 | Seven Networks, Llc | Optimized and selective management of policy deployment to mobile clients in a congested network to prevent further aggravation of network congestion |
| US10848404B2 (en) * | 2017-10-16 | 2020-11-24 | Richard Mei | LAN cable conductor energy measurement, monitoring and management system |
-
2021
- 2021-07-08 CN CN202110775174.5A patent/CN113567722B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CA2713702A1 (en) * | 2008-02-01 | 2009-08-06 | Energy Hub | System and method for home energy monitor and control |
| WO2011148215A1 (en) * | 2010-05-27 | 2011-12-01 | Nokia Corporation | Method and apparatus for estimating remaining operating time |
| CN103444039A (en) * | 2011-03-24 | 2013-12-11 | 迅应科技有限公司 | Energy consumption management |
| CN104734176A (en) * | 2013-12-23 | 2015-06-24 | 阳光电源股份有限公司 | Island detection method and device |
| CN107478926A (en) * | 2017-07-14 | 2017-12-15 | 宁波三星医疗电气股份有限公司 | A kind of electricity consumption monitoring arrangement and method |
| CN110514889A (en) * | 2019-07-19 | 2019-11-29 | 浙江万胜智能科技股份有限公司 | A kind of method and system of non-intrusion type household electricity remained capacity |
| CN110768244A (en) * | 2019-10-14 | 2020-02-07 | 珠海格力电器股份有限公司 | Energy management system and control method thereof |
| CN111414070A (en) * | 2020-03-06 | 2020-07-14 | 苏州浪潮智能科技有限公司 | Case power consumption management method and system, electronic device and storage medium |
| CN112415963A (en) * | 2020-11-13 | 2021-02-26 | 珠海格力电器股份有限公司 | Building-level energy control method, control device and system and processor |
Non-Patent Citations (2)
| Title |
|---|
| Flexible Active Power Control of Distributed Power Generation Systems During Grid Faults;Pedro Rodriguez 等;《 IEEE Transactions on Industrial Electronics》;第54卷(第5期);2583 - 2592 * |
| 人力智能电网——一种新型电网的构建及其可行性分析;代丹 等;《科技导报》;第28卷(第5期);104-110 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113567722A (en) | 2021-10-29 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN101270908B (en) | Remote capability monitoring device and method | |
| EP2880501B1 (en) | Optimization of energy use through model-based simulations | |
| US7962536B2 (en) | System and method for remote monitoring and controlling of facility energy consumption | |
| CN102882745B (en) | A kind of method and apparatus for monitoring business server | |
| CN109612029B (en) | Efficiency prediction method | |
| KR20120016133A (en) | System and method for estimating and providing dispatchable operating reserve energy capacity through use of active load management | |
| US20130314073A1 (en) | Energy Consumption Monitoring System, Method, and Computer Program | |
| JP2003162324A (en) | Intelligent data-analyzing method for detecting abnormal use of utilities in buildings | |
| WO2013157030A1 (en) | Power monitoring device and power monitoring system | |
| CN113567722B (en) | Power control method and device for electric appliance | |
| CN113902148B (en) | Load detection method and device of transformer, computer equipment and storage medium | |
| CN112070353B (en) | Method and system for accurately detecting energy efficiency of data center | |
| JP2010243092A (en) | Method and system of detecting deterioration of refrigerating machine | |
| CN110953687B (en) | Health degree evaluation method and system of air conditioner and storage medium | |
| CN112116188A (en) | Comprehensive leakage index big data analysis leakage early warning solution method | |
| CN105183627A (en) | Server performance prediction method and system | |
| CN114878934A (en) | Electric energy consumption data abnormity early warning method | |
| Theusch et al. | Fault detection and condition monitoring in district heating using smart meter data | |
| CN107461881B (en) | Refrigeration host energy efficiency diagnosis method and system for hospital air conditioner room | |
| KR20180098179A (en) | System for providing energy saving guide to target building | |
| Westphalen et al. | System & component diagnostics | |
| CN108076086B (en) | Remote monitoring method and equipment | |
| CN114037113B (en) | Intelligent water meter control method, device and system, storage medium and cloud computing center | |
| CN115146977A (en) | Enterprise energy efficiency data management method and system based on Internet of things | |
| US11125790B2 (en) | Method for operating a power consumption metering system and power consumption metering system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| CB02 | Change of applicant information | ||
| CB02 | Change of applicant information |
Address after: No. 109, Yongchang Road, Shifeng Street, Tiantai County, Taizhou City, Zhejiang Province 317200 Applicant after: ZHEJIANG WELLSUN INTELLIGENT TECHNOLOGY Co.,Ltd. Address before: 317200 15 Xingye East Third Street, Fuxi street, Tiantai County, Taizhou, Zhejiang Applicant before: ZHEJIANG WELLSUN INTELLIGENT TECHNOLOGY Co.,Ltd. |
|
| GR01 | Patent grant | ||
| GR01 | Patent grant |