CN114580137A - Method and device for constructing equipment energy efficiency curve, readable storage medium and electronic equipment - Google Patents
Method and device for constructing equipment energy efficiency curve, readable storage medium and electronic equipment Download PDFInfo
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Abstract
The invention discloses a method and a device for constructing an equipment energy efficiency curve, a computer readable storage medium and electronic equipment, wherein the method comprises the following steps: acquiring an energy efficiency curve modeling data set of each reference device; according to the energy efficiency curve modeling data set of each reference device, determining a local energy efficiency curve corresponding to each reference device; and constructing a device energy efficiency curve of the target device according to each local energy efficiency curve, wherein the similarity between the target device and the reference device is not less than a preset threshold value. By the technical scheme, the constructed energy efficiency curve of the equipment can more accurately reflect the energy efficiency condition of the equipment when the equipment runs under different load rates.
Description
Technical Field
The invention relates to the technical field of energy, in particular to a method and a device for constructing an equipment energy efficiency curve, a readable storage medium and electronic equipment.
Background
In the scenarios of optimal scheduling and equipment maintenance effect evaluation of the energy station, the energy efficiency curve of the equipment is the prior condition, in other words, the equipment energy efficiency curve of the gas steam boiler needs to be constructed, and the constructed equipment energy efficiency curve is used as the data basis for evaluating the maintenance effect of the gas steam boiler or the optimal scheduling of the energy station.
At present, a plurality of operation data of a gas-steam boiler generally need to be collected, then load efficiency and energy efficiency corresponding to each operation data are calculated, so that energy efficiency discrete points corresponding to the load efficiency are obtained, curve fitting is performed on the energy efficiency discrete points corresponding to the load efficiency in a linear regression mode, and a curve obtained through fitting is an equipment energy efficiency curve.
However, the data of the gas-steam boiler may be relatively single, and the energy efficiency discrete points calculated by using the operation data may not be accurate enough, so that the fitted equipment energy efficiency curve may not accurately reflect the energy efficiency conditions of the gas-steam boiler under different load rates.
Disclosure of Invention
The invention provides a method and a device for constructing an equipment energy efficiency curve, a computer readable storage medium and electronic equipment.
In a first aspect, the present invention provides a method for constructing an energy efficiency curve of a device, including:
acquiring an energy efficiency curve modeling data set of each reference device;
according to the energy efficiency curve modeling data set of each reference device, determining a local energy efficiency curve corresponding to each reference device;
and constructing a device energy efficiency curve of the target device according to each local energy efficiency curve, wherein the similarity between the target device and the reference device is not less than a preset threshold value.
In a second aspect, the present invention provides an apparatus for constructing an energy efficiency curve of a device, including:
the acquisition module is used for acquiring the energy efficiency curve modeling data set of each reference device;
the curve determining module is used for determining a local energy efficiency curve corresponding to each reference device according to the energy efficiency curve modeling data set of each reference device;
and the construction module is used for constructing an equipment energy efficiency curve of the target equipment according to each local energy efficiency curve, and the similarity between the target equipment and the reference equipment is not less than a preset threshold value.
In a third aspect, the invention provides a computer-readable storage medium comprising executable instructions which, when executed by a processor of an electronic device, cause the processor to perform the method according to any one of the first aspect.
In a fourth aspect, the present invention provides an electronic device, comprising a processor and a memory storing execution instructions, wherein when the processor executes the execution instructions stored in the memory, the processor performs the method according to any one of the first aspect.
The invention provides a method and a device for constructing equipment energy efficiency curves, a computer readable storage medium and electronic equipment. In summary, according to the technical scheme of the invention, the data dimensionality is increased by considering the respective local energy efficiency curves of the reference devices, so that the constructed device energy efficiency curves can more accurately reflect the energy efficiency conditions of the devices when the devices operate under different load factors.
Further effects of the above-mentioned unconventional preferred modes will be described below in conjunction with specific embodiments.
Drawings
In order to more clearly illustrate the embodiments or the prior art solutions of the present invention, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments described in the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive labor.
Fig. 1 is a schematic flow chart of a method for constructing an energy efficiency curve of a device according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of an apparatus for constructing an energy efficiency curve of a device according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be described in detail and completely with reference to the following embodiments and accompanying drawings. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, a method for constructing an energy efficiency curve of a device according to an embodiment of the present invention is provided. The method provided by the embodiment of the invention can be applied to electronic equipment, and particularly can be applied to a server or a general computer. In this embodiment, the method specifically includes the following steps:
as shown in fig. 1, an embodiment of the present invention provides a method for constructing an energy efficiency curve of a device, including the following steps:
Specifically, the reference device may be any device that requires the construction of an energy efficiency curve, such as, for example, an energy device, which may be, for example, a steam-gas boiler, a gas-fired internal combustion engine, a gas turbine, etc., and it should be understood that the above-mentioned energy device is merely an example and is not a limitation on the method provided in the present application.
Specifically, the energy efficiency curve modeling data set refers to data required for constructing an energy efficiency curve, and specifically may include load ratios corresponding to respective acquisition time points and energy efficiencies corresponding to respective load ratios. It will be appreciated that for each reference device, the reference device corresponds to a set of energy efficiency curve modeling data, the energy efficiency curve modeling data being determined based on operating data of the reference device.
In some possible implementation manners, obtaining an energy efficiency curve modeling data set of a reference device by referring to instantaneous operating data of the device, where obtaining the energy efficiency curve modeling data set of each reference device includes:
acquiring instantaneous operation data of reference equipment, wherein the instantaneous operation data comprises rated capacity, instantaneous gas consumption and instantaneous steam generation;
filtering each of the instantaneous operational data to determine each of the target operational data;
determining a load rate corresponding to the target operation data and energy efficiency data corresponding to the target operation data for each target operation data, wherein the load rate corresponds to the energy efficiency data;
and forming an energy efficiency curve modeling data set of the reference equipment according to each load rate and the energy efficiency data corresponding to each load rate.
In this embodiment, the reference device refers to a device capable of consuming natural gas and generating steam, and the rated capacity represents the amount of steam that should be generated when the device consumes one unit of natural gas. The instantaneous operation data is minute-scale data, for example, 1 minute, i.e., the instantaneous gas consumption is 1 minute of gas consumption, and the instantaneous steam generation is 1 minute of steam generation.
As a possible scenario, the sensor may directly collect instantaneous operating data.
As another possible case, if the sensor collects accumulated data, the acquiring of the instantaneous operation data of the reference device includes:
acquiring operation data of reference equipment and acquisition time points corresponding to the operation data, wherein the operation data comprises rated capacity, accumulated gas consumption and accumulated steam generation;
and calculating the respective corresponding instantaneous operation data of each acquisition time point according to each operation data and the respective corresponding acquisition time point of each operation data.
For example, the operation data of the reference device is respectively collected at i times from t1 to ti, and for the cumulative gas consumption and the cumulative steam generation carried in the operation data collected at the current collection time point tj, the cumulative gas consumption and the cumulative steam generation specifically refer to the total amount of natural gas consumed by the target device (i.e., the cumulative gas consumption) and the total amount of steam actually generated when the target device consumes the natural gas (i.e., the cumulative steam generation) in the period from the starting time point t1 of collecting the operation data to the current collection time point tj; correspondingly, a difference value between the accumulated gas consumption carried in the operation data respectively acquired at the current acquisition time point tj and the adjacent acquisition time point tj +1 can be calculated according to the accumulated gas consumption and the accumulated steam generation carried in the operation data acquired at the current acquisition time point tj, and the difference value is the instantaneous gas consumption corresponding to the acquisition time point tj; based on a similar principle, the instantaneous steam generation amount corresponding to the acquisition time point tj can be calculated, and the instantaneous gas consumption amount and the instantaneous steam generation amount corresponding to the acquisition time point tj can form instantaneous operation data corresponding to the acquisition time point tj.
It should be further noted that a difference between the accumulated gas consumptions carried in the operation data respectively acquired at the current acquisition time point tj and the adjacent acquisition time point tj-1 may be calculated, where the difference is an instantaneous gas consumption corresponding to the acquisition time point tj; based on a similar principle, the instantaneous steam generation amount corresponding to the acquisition time point tj can be calculated, and the instantaneous gas consumption amount and the instantaneous steam generation amount corresponding to the acquisition time point tj can form instantaneous operation data corresponding to the acquisition time point tj.
Obviously, the time intervals of every two adjacent acquisition time points for calculating the instantaneous gas consumption and the instantaneous steam generation can be equal, so that the operation data of the target equipment can be acquired periodically.
Specifically, the operating data of the reference device may be collected by a sensor, and in one example, a plurality of operating data of the reference device may be collected by the sensor, and the sensor may record a time point when the operating data is collected, that is, the time point recorded by the sensor is determined as a corresponding collection time point when the corresponding operating data is collected. In another example, the operation data of the reference device is collected by the sensor, and the collected operation data is transmitted to the device for constructing the device energy efficiency curve of the reference device, and the device may record the time points corresponding to the time points when the device receives the operation data sent by the sensor, so that the time points corresponding to the time points when the device receives each operation data, which are recorded by the device, are determined as the collection time points corresponding to the time points when the device collects the corresponding operation data.
Specifically, each instantaneous operation data is filtered, so that instantaneous operation data which cannot accurately reflect the actual operation state of the target device in each instantaneous operation data is filtered, instantaneous operation data (namely target operation data) which can accurately reflect the actual operation state of the target device is extracted, and correspondingly, when a local energy efficiency curve of the reference device is constructed subsequently according to the target operation data, the obtained local energy efficiency curve can accurately reflect the energy efficiency condition of the reference device when the reference device operates under different load factors.
In a first possible case, the instantaneous steam generation amount carried by the target operation data is located in a preset data interval, and an upper boundary and a lower boundary of the preset data interval are determined according to a preset adjustment factor and the rated capacity. The target operating data may be determined specifically by:
determining a lower boundary and an upper boundary corresponding to the instantaneous steam generation amount according to a preset adjusting factor and rated capacity;
a1, selecting one unselected instantaneous operation data;
a2, detecting whether the instantaneous steam generation amount carried by the selected instantaneous operation data is between a lower boundary and an upper boundary, if so, executing A3, otherwise, executing A4;
a3, extracting the selected instantaneous operation data as target operation data, and executing A4;
a4, detecting whether the unselected instantaneous operation data exist, if yes, executing A1.
The rated capacity may indicate the amount of steam that the reference equipment should generate when consuming one unit of natural gas in a specific environment, and the rated capacity is usually a determined value given by the manufacturer of the reference equipment in the factory stage, however, during the actual operation of the reference equipment, the operating environment of the reference equipment may not be the specific environment, that is, the collected rated capacity may not accurately reflect the amount of steam that the reference equipment should generate when consuming one unit of natural gas in the operating environment, therefore, the user may determine an adjustment factor according to the actual operating environment of the reference equipment, and determine a reasonable range to which the instantaneous steam generation amount that can characterize the reference equipment when operating in the operating environment should belong again according to the adjustment factor and the rated capacity (i.e., the collected rated capacity) given by the manufacturer, the method comprises the steps of determining an upper boundary and a lower boundary corresponding to a reasonable range, when the instantaneous steam generation amount carried by instantaneous operation data is not between the upper boundary and the lower boundary, namely not within the reasonable range, indicating that the operation data corresponding to the instantaneous operation data does not have reference value or has low reference value, namely indicating that the operation data does not have reference value or has low reference value due to the change of the field environment of equipment and overlarge load of the equipment, and correspondingly determining the instantaneous operation data as target operation data only when the instantaneous steam generation amount carried by the instantaneous operation data is between the upper boundary and the lower boundary, so that the filtering can not accurately reflect the instantaneous operation data of the reference equipment in the actual operation state. It should be noted that the lower bound may be 0 and the upper bound may be a product of the adjustment factor and the rated capacity carried in the collected operational data, and the upper bound may indicate the rated capacity of the reference equipment when operating in its actual operational environment, i.e., the amount of steam that should be generated for each unit of natural gas consumed when operating in that operational environment. It should be noted that the adjustment factor needs to be set according to the operating environment (e.g., the operating duration and the ambient temperature) in which the reference device actually operates, and may be any value between 0.8 and 1.2 in general.
In a second possible case, the acquisition time point corresponding to the target operation data is located in the stable operation period of the device, and the target operation data may be specifically determined in the following manner:
determining a filtering time period according to the acquisition time point corresponding to each operation data, the start-stop state of the equipment carried by each operation data and the preset delay time;
b1, selecting one unselected instantaneous operation data;
b2, detecting whether the acquisition time point corresponding to the instantaneous operation data is located in the filtering time period, if not, executing B4, and if yes, executing B3;
b3, extracting the selected instantaneous operation data as target operation data, and executing B4;
b4, detecting whether the instantaneous operation data which are not selected exist, if so, executing B1.
In this embodiment, the data basis for constructing the energy efficiency curve of the device is the operation data of the reference device during normal operation after startup, the operation data acquired correspondingly cannot accurately reflect the actual operation state of the reference device when the reference device is in the shutdown state and within a certain delay time from the shutdown state to the startup operation of the reference device, and here, the operation data which cannot accurately reflect the actual operation state of the reference device needs to be filtered, that is, each operation data which cannot accurately reflect the actual operation state of the reference device is filtered to extract a plurality of target operation data, and then a local energy efficiency curve which can more accurately reflect the energy efficiency condition of the reference device can be constructed according to each extracted target operation data.
In an actual service scene, a shutdown and startup state of the reference device can be indicated by specifying parameters 0 and 1, specifically, the reference device is indicated to be in a shutdown state by using the parameter 0, and the reference device is indicated to be in an operating state by using the parameter 1. Accordingly, to acquire t1～ti+jOperating data over time, from t1Time tiAll the operation data collected at the moment carry a parameter 0 indicating that the reference equipment is in a shutdown state, and the operation data are acquired from ti+1Time ti+jAll the operation data collected at the moment carry a parameter 1 indicating that the reference equipment is in an operation state, and the delay time after the reference equipment is started is set to be tdThen, the filtering time is included from t1Time begins to (t)i+td) In the time period between moments, the operation data respectively acquired at each acquisition time point in the filtering time cannot accurately reflect the actual operation state of the reference equipment, and at the moment, the position t can be positioned1Time begins to (t)i+td) Filtering first operation data corresponding to each acquisition time point between moments, and extracting only (t)i+td) Time to ti+jAnd respectively corresponding first operation data at each acquisition time point between moments as instantaneous operation data. It should be noted that the delay time after the reference device is turned on needs to be set according to the actual operation condition of the reference device, and may be any value between 5min and 15 min. It should be further noted that the device stable operation period is another period after the filtering period is removed from the operation period corresponding to each operation data. In other words, the stable operation period of the device is determined based on the acquisition time point corresponding to each operation data, the start-stop state of the device carried by each operation data, and the preset delay time.
In a third possible case, the instantaneous steam generation amount carried by the target operation data is within a confidence interval of the instantaneous steam generation amount, the confidence interval being determined according to a preset confidence level and the instantaneous steam generation amount carried by each of the instantaneous operation data. The target operating data may be determined specifically by:
determining a confidence interval corresponding to the instantaneous steam generation amount according to a preset confidence level and the instantaneous steam generation amount carried by each instantaneous operation data;
c1, selecting one unselected instantaneous operation data;
c2, detecting whether the instantaneous steam generation amount carried by the selected instantaneous operation data is within a confidence interval, if so, executing C3, otherwise, executing C4;
c3, extracting the selected instantaneous operation data as target operation data, and executing C4;
c4, detecting whether the instantaneous operation data which are not selected exist, if so, executing C1.
In the embodiment, in the actual operation process of the reference equipment, the instantaneous steam generation amount carried by the instantaneous operation data corresponding to most of the acquired operation data is distributed in a certain numerical interval, only a small part of the instantaneous steam generation amount carried by the instantaneous operation data deviates from the numerical interval, the frequency of the instantaneous steam generation amount carried by the instantaneous operation data deviating from the numerical interval is relatively low, and is too large or too small compared with the instantaneous steam generation amount carried in other instantaneous operation data, at this moment, the reference value of the instantaneous operation data is relatively small, determining a confidence level according to the instantaneous steam generation amount carried by the instantaneous operation data, and determining a reasonable value interval (namely a confidence interval under a certain confidence level) to which the instantaneous steam generation amount carried by each instantaneous operation data should belong according to the confidence level; when the instantaneous steam generation amount carried by one instantaneous operation data is not in the confidence interval, the reference value of the instantaneous operation data is low, the instantaneous operation data with low reference value is filtered again, namely, each instantaneous operation data with low reference value is further filtered to extract a plurality of target operation data with relatively high reference value, and then an equipment energy efficiency curve capable of more accurately reflecting the energy efficiency condition of the reference equipment can be constructed according to each extracted target operation data. For example, if the confidence level is 95%, the value of the random variable obtained by the standard positive-phase distribution table lookup is 1.96, the confidence interval is-X-1.96 σ/√ n ≦ S ≦ -X +1.96 σ/√ n (-X represents the average of the instantaneous steam generation amounts carried by the instantaneous operation data, σ represents the standard deviation of the instantaneous steam generation amounts carried by the instantaneous operation data, and n represents the total number of data of the instantaneous steam generation amounts carried by the instantaneous operation data). It should be noted that the confidence level needs to be set according to the distribution of the operation data, and may be any percentage of 90% to 99%, and the optimal confidence level is 95%.
In practical application, the instantaneous steam generation amount carried by the target operation data is located in a preset data interval, the acquisition time point corresponding to the target operation data is located in the stable operation period of equipment, and the instantaneous steam generation amount carried by the target operation data is located in a confidence interval of the instantaneous steam generation amount.
And 102, determining a local energy efficiency curve corresponding to each reference device according to the energy efficiency curve modeling data set of each reference device.
In some possible implementations, step 102 includes:
according to the energy efficiency curve modeling data set of the reference equipment, determining an energy efficiency data set corresponding to each obtained load interval, wherein the load rate corresponding to the energy efficiency data in the energy efficiency data set is located in the corresponding load interval, and each load interval is obtained by dividing a target load interval based on the number of the load intervals;
determining the interval average energy efficiency of the load interval corresponding to the energy efficiency data set according to the time sequence of the energy efficiency data in the energy efficiency data set and the initial exponential weighted average value of the energy efficiency data set;
determining the interval average load of the load interval, wherein the interval average load is determined based on the left boundary and the right boundary of the load interval, or is determined based on each load rate in the energy efficiency curve modeling data set in the load interval;
and determining a local energy efficiency curve corresponding to the reference equipment according to the interval average energy efficiency of each load interval and the interval average load of each load interval.
Specifically, the load factor refers to a ratio of the instantaneous steam generation amount to the rated capacity, the ratio can reflect the utilization rate of the reference equipment, if the ratio is large, the utilization rate of the reference equipment is high, otherwise, the utilization rate of the equipment is low; the energy efficiency refers to the ratio of the instantaneous steam generation amount to the instantaneous gas consumption amount corresponding to a certain acquisition time point, if the ratio is large, more steam can be generated when one unit of natural gas is consumed, otherwise, less steam can be generated when one unit of natural gas is consumed, namely, the steam amount which can be generated when one unit of natural gas is consumed can be effectively used;
for the energy efficiency curve modeling data set, each load rate and each energy efficiency data in the energy efficiency curve modeling data set are corresponding, that is, a unique load rate and a unique energy efficiency data are corresponding to a certain acquisition time point, at this time, a load interval of each energy efficiency data can be determined according to the load rate corresponding to the energy efficiency data, each energy efficiency data corresponding to the load interval is used as an energy efficiency data set, subsequently, a local energy efficiency curve can be constructed according to the energy efficiency data set corresponding to each load interval, and the local energy efficiency curve can indicate the steam volume actually generated when the reference device consumes a unit of natural gas when the reference device operates at different load rates. Correspondingly, the target load interval is equally divided based on the number of the load intervals to obtain a plurality of load intervals, the plurality of load intervals are continuous, for example, the number of the load intervals is 5, the target load interval is 0% -100%, that is, 5 load intervals can be formed, and the 5 load intervals are sequentially: 0 to 20 percent, 20 to 40 percent, 40 to 60 percent, 60 to 80 percent and 80 to 100 percent.
Specifically, for each load interval, the initial exponentially weighted average is an average of corresponding energy efficiency data in the load interval, and the average may indicate an average energy efficiency level of the load interval, but the initial exponentially weighted average may not reflect the current energy efficiency state of the reference device more accurately; for the energy efficiency data, the closer to the current time, the more the current energy efficiency state of the reference device can be reflected, and at this time, the time sequence of the energy efficiency data corresponding to each load interval capable of more accurately reflecting the current energy efficiency state of the reference equipment can be determined by combining the acquisition time points carried by the operation data corresponding to each energy efficiency data, the time sequence indicates the sequence of the energy efficiency data, and further, according to the time sequence of the energy efficiency data and the initial exponential weighted average value, the interval average energy efficiency corresponding to each load interval capable of more accurately reflecting the current energy efficiency state of the reference equipment is determined, and then an equipment energy efficiency curve capable of more accurately reflecting the energy efficiency state of the reference equipment when the reference equipment operates under different load rates can be constructed according to the average load rate corresponding to each load interval and the interval average energy efficiency corresponding to each load interval. For example, for a load interval of 20% to 40%, the average load rate is an average value of 20% and 40%, i.e., 30%; the energy efficiency data of the 20% -40% load interval comprise e20, e21, …, e39 and e40, and if the acquisition time points corresponding to the energy efficiency data are t20, t21, …, t39 and t40 in sequence, the time sequence of the energy efficiency data is e20, e21, …, e39 and e 40.
In some feasible implementation manners, the determining, according to the time sequence of the energy efficiency data in the energy efficiency data set and the initial exponentially weighted average of the energy efficiency data set, the interval average energy efficiency of the load interval corresponding to the energy efficiency data set includes:
sequentially calculating an exponential weighted average of the energy efficiency data in the energy efficiency data set through a first formula according to the time sequence of the energy efficiency data in the energy efficiency data set, wherein the first formula comprises:
Ei＝β*Ei-1+(1-β)*ei
wherein E isiExponential weighted average value, E, representing ith energy efficiency datai-1Exponentially weighted average, e, characterizing the (i-1) th energy efficiency dataiCharacterizing the ith energy efficiency data, beta is a weighted descent coefficient, and when i is 1, Ei-1Characterizing an initial exponentially weighted average of the energy efficiency data set;
and determining the exponential weighted average of the energy efficiency data positioned at the last position in the time sequence of each energy efficiency data as the interval average energy efficiency of the load interval corresponding to the energy efficiency data set.
In this embodiment, for each load interval, the exponentially weighted average E corresponding to the energy efficiency data located at the head in the time sequence of the energy efficiency data corresponding to the load intervali-1The index weighted average is an initial index weighted average, the index weighted average corresponding to each energy efficiency data in the load interval is sequentially calculated according to the time sequence of the energy efficiency data, the interval average energy efficiency is further determined, the interval average energy efficiency can more accurately reflect the current energy efficiency state of the reference equipment, and the equipment energy efficiency curve constructed by the index weighted average method can more accurately reflect the current energy efficiency state of the reference equipmentAnd mapping the energy efficiency condition of the equipment when the equipment operates under different load rates.
For example, the load interval is 20% -40%, and the initial exponentially weighted average corresponding to the load interval is E0The weighted reduction coefficient beta is 0.9, and the time sequence of each energy efficiency data corresponding to the interval is e20、e21、…、e39、e40And, then E1＝0.9*E0+0.1*e20、…、E39＝0.9*E38+0.1e39、E40＝0.9*E39+0.1e40Calculated E40Namely the average energy efficiency of the interval corresponding to the 20% -40% load interval.
It should be understood that the process of deriving the local energy efficiency curve for each reference device is the same.
103, constructing a device energy efficiency curve of the target device according to each local energy efficiency curve, wherein the similarity between the target device and the reference device is not less than a preset threshold value.
Specifically, the target equipment and the reference equipment are of the same type, for example, both are gas-steam boilers, and certainly, in order to ensure the reference value of the local energy efficiency curve, the operation data of the target equipment and the operation data of the reference equipment are also similar, for example, the target equipment and the reference equipment are of the same type, the rated capacity and the operating environment, so that the similarity between the target equipment and other equipment is determined based on the factors of the same type, the same rated capacity, the operating environment and the like, and the equipment corresponding to the similarity which is not less than the preset threshold is determined as the reference equipment. It should be noted that the target device may be any one of the reference devices, or may be another device similar to the reference device, and the specific need is determined in combination with the actual scene.
It should be noted that the respective operation data of each reference device is distributed at different detection points in the internet of things, the shared data can cause a data security problem, an energy efficiency curve modeling data set is constructed through the non-shared operation data in the detection points, and then a local energy efficiency curve of the detection points is obtained, so that the non-shared operation data is migrated to the target device, data sharing does not exist among the detection points, and the data security problem caused by directly sharing the data is avoided. The detection point is a node capable of performing data processing and data interaction, and includes, but is not limited to, any one or more of an edge server, an edge gateway, and an edge controller.
As a possible implementation, step 103 includes:
obtaining updated model parameters, wherein the updated model parameters are determined based on the model parameters corresponding to the local energy efficiency curves respectively;
updating each local energy efficiency curve according to the updated model parameters and each energy efficiency curve modeling data set so as to adjust the updated model parameters;
and constructing the equipment energy efficiency curve of the target equipment according to each local energy efficiency curve when the iteration stopping condition is met.
Specifically, uploading model parameters at respective detection points of each reference device, receiving updated model parameters, updating the model parameters, thereby updating a local energy efficiency curve, uploading the model parameters corresponding to the updated local energy efficiency curve, repeating iteration on the local energy efficiency curve by continuing the above steps, obtaining each local energy efficiency curve when an iteration stop condition is met, and fusing each local energy efficiency curve when the iteration stop condition is met as a possible situation to obtain a device energy efficiency curve of the target device, for example, determining respective corresponding weights of each reference device based on similarity between the target device and the reference device; and carrying out weighted average on each local energy efficiency model meeting the iteration condition based on the weight corresponding to each reference device so as to determine the device energy efficiency curve of the target device. Determining model parameters corresponding to each local energy efficiency curve when the iteration stop condition is met, fusing the model parameters to obtain target model parameters, processing an energy efficiency curve modeling data set of the target equipment according to the target model parameters, and constructing an equipment energy efficiency curve of the target equipment.
The model parameters indicate parameters required for constructing the energy efficiency curve of the device, and optionally, the model parameters include any one or more of a weighted drop coefficient, the number of load intervals, the respective interval average energy efficiency of each load interval, and the respective interval average load of each load interval. The iteration stop condition is the number of iterations.
In practical application, different energy efficiency curve modeling data sets are distributed at different nodes in the Internet of things, local energy efficiency curves are directly constructed locally to ensure data safety, and the nodes of the target equipment in the Internet of things are fused to determine the equipment energy efficiency curves of the target equipment. The nodes can perform data processing and data interaction, including but not limited to any one or more of edge servers, edge gateways, and edge controllers. The target device may be any one of the reference devices, or the target device is not included in the reference devices.
According to the technical scheme, the beneficial effects of the embodiment are as follows: the data dimensionality is increased by referring to the respective local energy efficiency curve of each device, so that the constructed device energy efficiency curve can more accurately reflect the energy efficiency condition of the device when the device operates under different load rates.
Based on the same concept as the method embodiment of the present invention, referring to fig. 2, an embodiment of the present invention further provides an apparatus for constructing an energy efficiency curve of a device, including:
an obtaining module 201, configured to obtain an energy efficiency curve modeling data set of each reference device;
a curve determining module 202, configured to determine, according to the energy efficiency curve modeling data set of each reference device, a local energy efficiency curve corresponding to each reference device;
a constructing module 203, configured to construct a device energy efficiency curve of a target device according to each local energy efficiency curve, where a similarity between the target device and the reference device is not less than a preset threshold.
In an embodiment of the present invention, the curve determining module 202 includes: the system comprises a first data set determining unit, an energy efficiency determining unit, a load determining unit and a curve determining unit; wherein the content of the first and second substances,
the first data set determining unit is used for determining an energy efficiency data set corresponding to each acquired load interval according to an energy efficiency curve modeling data set of the reference device, wherein the load rate corresponding to the energy efficiency data in the energy efficiency data set is located in the corresponding load interval, and each load interval is obtained by dividing a target load interval based on the number of the load intervals;
the energy efficiency determining unit is used for determining the interval average energy efficiency of the load interval corresponding to the energy efficiency data set according to the time sequence of the energy efficiency data in the energy efficiency data set and the initial exponential weighted average value of the energy efficiency data set;
the load determining unit is configured to determine an interval average load of the load interval, where the interval average load is determined based on a left boundary and a right boundary of the load interval, or is determined based on each load rate in the energy efficiency curve modeling data set within the load interval;
the curve determining unit is configured to determine a local energy efficiency curve corresponding to the reference device according to the respective interval average energy efficiency of each load interval and the respective interval average load of each load interval.
In an embodiment of the present invention, the energy efficiency determining unit includes: the energy efficiency determining device comprises a calculating subunit and an energy efficiency determining subunit; wherein the content of the first and second substances,
the calculating subunit is configured to sequentially calculate, according to the time sequence of the energy efficiency data in the energy efficiency data set, an exponentially weighted average of the energy efficiency data in the energy efficiency data set through a first formula, where the first formula includes:
Ei＝β*Ei-1+(1-β)*ei
wherein, EiExponential weighted average, E, characterizing the ith energy efficiency datai-1Exponentially weighted average, e, characterizing the (i-1) th energy efficiency dataiCharacterizing the ith energy efficiency data, beta is a weighted descent coefficient, and when i is 1, Ei-1Characterizing an initial exponentially weighted average of the energy efficiency data set;
the energy efficiency determining subunit is configured to determine the exponential weighted average of the energy efficiency data located at the last position in the time sequence of each energy efficiency data as the interval average energy efficiency of the load interval corresponding to the energy efficiency data set.
In an embodiment of the present invention, the building module 203 includes: the system comprises a coefficient determining module, an updating module and a constructing module; wherein, the first and the second end of the pipe are connected with each other,
the coefficient determining module is used for acquiring updated model parameters, and the updated model parameters are determined based on the model parameters corresponding to the local energy efficiency curves;
the updating module is used for updating each local energy efficiency curve according to the updated model parameters and each energy efficiency curve modeling data set so as to adjust the updated model parameters;
and the building module is used for building the equipment energy efficiency curve of the target equipment according to each local energy efficiency curve when the iteration stopping condition is met.
In an embodiment of the present invention, the obtaining module 201 includes: the device comprises an acquisition unit, a filtering unit, a calculation unit and a second data set determination unit;
the acquisition unit is used for acquiring instantaneous operation data of reference equipment, wherein the instantaneous operation data comprises rated capacity, instantaneous gas consumption and instantaneous steam generation;
the filtering unit is used for filtering each instantaneous operation data to determine each target operation data;
the computing unit is configured to determine, for each target operation data, a load rate corresponding to the target operation data and energy efficiency data corresponding to the target operation data, where the load rate corresponds to the energy efficiency data;
the second data set determining unit is configured to form an energy efficiency curve modeling data set of the reference device according to each load factor and the energy efficiency data corresponding to each load factor.
In an embodiment of the present invention, the acquiring unit includes an acquiring subunit and a calculating subunit; wherein the content of the first and second substances,
the acquisition subunit is configured to acquire operation data of a reference device and an acquisition time point corresponding to the operation data, where the operation data includes a rated capacity, an accumulated gas consumption amount, and an accumulated steam generation amount;
and the calculation subunit is used for calculating the respective corresponding instantaneous operating data of each acquisition time point according to each operating data and the respective corresponding acquisition time point of each operating data.
In one embodiment of the present invention, the instantaneous steam generation amount carried by the target operation data is located in a preset data interval, and an upper boundary and a lower boundary of the preset data interval are determined according to a preset adjustment factor and the rated capacity;
and/or the acquisition time point corresponding to the target operation data is positioned in the stable operation period of the equipment;
and/or the instant steam generation amount carried by the target operation data is positioned in a confidence interval of the instant steam generation amount, and the confidence interval is determined according to a preset confidence level and the instant steam generation amount carried by each instant operation data.
Fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present invention. On the hardware level, the electronic device includes a processor 301 and a memory 302 storing executable instructions, and optionally further includes an internal bus 303 and a network interface 304. The Memory 302 may include a Memory 3021, such as a Random-Access Memory (RAM), and may further include a non-volatile Memory 3022 (e.g., at least 1 disk Memory); the processor 301, the network interface 304, and the memory 302 may be connected to each other by an internal bus 303, and the internal bus 303 may be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, an EISA (Extended Industry Standard Architecture) bus, or the like; the internal bus 303 may be divided into an address bus, a data bus, a control bus, etc., which is indicated by a single double-headed arrow in fig. 3 for ease of illustration, but does not indicate only a single bus or a single type of bus. Of course, the electronic device may also include hardware required for other services. When the processor 301 executes the execution instructions stored by the memory 302, the processor 301 performs a method in any of the embodiments of the present invention and at least for performing the method as shown in fig. 1.
In a possible implementation manner, the processor reads the corresponding execution instruction from the nonvolatile memory to the memory and then runs the corresponding execution instruction, and the corresponding execution instruction can also be obtained from other equipment, so as to form an apparatus for constructing the energy efficiency curve of the equipment on a logic level. The processor executes the execution instructions stored in the memory, so that the executed execution instructions realize the method for constructing the equipment energy efficiency curve provided by any embodiment of the invention.
The processor may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in a processor or instructions in the form of software. The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components. The various methods, steps and logic blocks disclosed in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
Embodiments of the present invention further provide a computer-readable storage medium, which includes an execution instruction, and when a processor of an electronic device executes the execution instruction, the processor executes a method provided in any one of the embodiments of the present invention. The electronic device may specifically be the electronic device shown in fig. 3; the execution instruction is a computer program corresponding to the device for constructing the energy efficiency curve of the equipment.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects.
The embodiments of the present invention are described in a progressive manner, and the same and similar parts among the embodiments can be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, as for the apparatus embodiment, since it is substantially similar to the method embodiment, the description is relatively simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
It should also be noted that 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 an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above description is only an example of the present invention and is not intended to limit the present invention. Various modifications and alterations to this invention will become apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of the claims of the present invention.
Claims (10)
1. A method for constructing an equipment energy efficiency curve is characterized by comprising the following steps:
acquiring respective energy efficiency curve modeling data sets of the reference devices;
according to the energy efficiency curve modeling data set of each reference device, determining a local energy efficiency curve corresponding to each reference device;
and constructing a device energy efficiency curve of the target device according to each local energy efficiency curve, wherein the similarity between the target device and the reference device is not less than a preset threshold value.
2. The method according to claim 1, wherein the determining the local energy efficiency curve corresponding to each of the reference devices according to the energy efficiency curve modeling data set of each of the reference devices comprises:
according to the energy efficiency curve modeling data set of the reference equipment, determining an energy efficiency data set corresponding to each obtained load interval, wherein the load rate corresponding to the energy efficiency data in the energy efficiency data set is located in the corresponding load interval, and each load interval is obtained by dividing a target load interval based on the number of the load intervals;
determining the interval average energy efficiency of the load interval corresponding to the energy efficiency data set according to the time sequence of the energy efficiency data in the energy efficiency data set and the initial exponential weighted average value of the energy efficiency data set;
determining the interval average load of the load interval, wherein the interval average load is determined based on the left boundary and the right boundary of the load interval, or is determined based on each load rate in the energy efficiency curve modeling data set in the load interval;
and determining a local energy efficiency curve corresponding to the reference equipment according to the interval average energy efficiency of each load interval and the interval average load of each load interval.
3. The method according to claim 2, wherein the determining the interval average energy efficiency of the load interval corresponding to the energy efficiency data set according to the time sequence of the energy efficiency data in the energy efficiency data set and the initial exponentially weighted average of the energy efficiency data set comprises:
sequentially calculating an exponential weighted average of the energy efficiency data in the energy efficiency data set through a first formula according to the time sequence of the energy efficiency data in the energy efficiency data set, wherein the first formula comprises:
Ei＝β*Ei-1+(1-β)*ei
wherein E isiExponential weighted average, E, characterizing the ith energy efficiency datai-1Exponentially weighted average, e, characterizing the (i-1) th energy efficiency dataiCharacterizing the ith energy efficiency data, beta is a weighted descending coefficient, and when i equals 1, Ei-1Characterizing an initial exponentially weighted average of the energy efficiency data set;
and determining the exponential weighted average of the energy efficiency data positioned at the last position in the time sequence of each energy efficiency data as the interval average energy efficiency of the load interval corresponding to the energy efficiency data set.
4. The method according to claim 1, wherein the constructing a device energy efficiency curve of a target device according to each local energy efficiency curve comprises:
obtaining updated model parameters, wherein the updated model parameters are determined based on the model parameters corresponding to the local energy efficiency curves respectively;
updating each local energy efficiency curve according to the updated model parameters and each energy efficiency curve modeling data set so as to adjust the updated model parameters;
and constructing the equipment energy efficiency curve of the target equipment according to each local energy efficiency curve when the iteration stopping condition is met.
5. The method of claim 1, wherein the obtaining the energy efficiency curve modeling dataset for each respective reference device comprises:
acquiring instantaneous operation data of reference equipment, wherein the instantaneous operation data comprises rated capacity, instantaneous gas consumption and instantaneous steam generation;
filtering each of the instantaneous operational data to determine each of the target operational data;
determining a load rate corresponding to the target operation data and energy efficiency data corresponding to the target operation data for each target operation data, wherein the load rate corresponds to the energy efficiency data;
and forming an energy efficiency curve modeling data set of the reference equipment according to each load rate and the energy efficiency data corresponding to each load rate.
6. The method of claim 5, wherein said obtaining instantaneous operating data of a reference device comprises:
acquiring operation data of reference equipment and acquisition time points corresponding to the operation data, wherein the operation data comprises rated capacity, accumulated gas consumption and accumulated steam generation;
and calculating the respective corresponding instantaneous operation data of each acquisition time point according to each operation data and the respective corresponding acquisition time point of each operation data.
7. The method of claim 5, wherein the instantaneous steam production carried by the target operating data is within a preset data interval, and an upper boundary and a lower boundary of the preset data interval are determined according to a preset adjustment factor and the rated capacity;
and/or the acquisition time point corresponding to the target operation data is positioned in the stable operation period of the equipment;
and/or the instant steam generation amount carried by the target operation data is positioned in a confidence interval of the instant steam generation amount, and the confidence interval is determined according to a preset confidence level and the instant steam generation amount carried by each instant operation data.
8. An apparatus for constructing an energy efficiency curve of a device, comprising:
the acquisition module is used for acquiring the energy efficiency curve modeling data set of each reference device;
the curve determining module is used for determining a local energy efficiency curve corresponding to each reference device according to the energy efficiency curve modeling data set of each reference device;
and the construction module is used for constructing a device energy efficiency curve of the target device according to each local energy efficiency curve, and the similarity between the target device and the reference device is not less than a preset threshold value.
9. A computer-readable storage medium comprising executable instructions that, when executed by a processor of an electronic device, cause the processor to perform the method of any of claims 1-7.
10. An electronic device comprising a processor and a memory storing execution instructions, the processor performing the method of any of claims 1-7 when the processor executes the execution instructions stored by the memory.
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