CN115049083A - Electromechanical equipment operation management method, device and system - Google Patents
Electromechanical equipment operation management method, device and system Download PDFInfo
- Publication number
- CN115049083A CN115049083A CN202210976135.6A CN202210976135A CN115049083A CN 115049083 A CN115049083 A CN 115049083A CN 202210976135 A CN202210976135 A CN 202210976135A CN 115049083 A CN115049083 A CN 115049083A
- Authority
- CN
- China
- Prior art keywords
- power consumption
- region
- operation management
- equipment
- determining
- 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.)
- Granted
Links
- 238000007726 management method Methods 0.000 title claims abstract description 42
- 230000001105 regulatory effect Effects 0.000 claims abstract description 66
- 230000001276 controlling effect Effects 0.000 claims abstract description 28
- 238000000034 method Methods 0.000 claims abstract description 18
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 6
- 238000010606 normalization Methods 0.000 claims description 4
- 238000012545 processing Methods 0.000 claims description 4
- 102000037983 regulatory factors Human genes 0.000 claims description 4
- 108091008025 regulatory factors Proteins 0.000 claims description 4
- 238000012544 monitoring process Methods 0.000 claims 1
- 238000005192 partition Methods 0.000 abstract description 8
- 238000012423 maintenance Methods 0.000 abstract description 5
- 238000005265 energy consumption Methods 0.000 abstract description 3
- 239000002699 waste material Substances 0.000 abstract 1
- 238000004590 computer program Methods 0.000 description 13
- 238000010586 diagram Methods 0.000 description 6
- 238000004364 calculation method Methods 0.000 description 3
- 230000008859 change Effects 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 230000000694 effects Effects 0.000 description 2
- 230000005611 electricity Effects 0.000 description 2
- 238000012806 monitoring device Methods 0.000 description 2
- 230000001360 synchronised effect Effects 0.000 description 2
- 230000002159 abnormal effect Effects 0.000 description 1
- 230000002411 adverse Effects 0.000 description 1
- 238000004422 calculation algorithm Methods 0.000 description 1
- 238000000265 homogenisation Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000011900 installation process Methods 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000000737 periodic effect Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000035945 sensitivity Effects 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/13—Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/08—Construction
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/06—Power analysis or power optimisation
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- Geometry (AREA)
- Human Resources & Organizations (AREA)
- Computer Hardware Design (AREA)
- Strategic Management (AREA)
- Marketing (AREA)
- Tourism & Hospitality (AREA)
- Economics (AREA)
- Evolutionary Computation (AREA)
- General Engineering & Computer Science (AREA)
- General Business, Economics & Management (AREA)
- Computational Mathematics (AREA)
- Structural Engineering (AREA)
- Pure & Applied Mathematics (AREA)
- General Health & Medical Sciences (AREA)
- Mathematical Optimization (AREA)
- Mathematical Analysis (AREA)
- Primary Health Care (AREA)
- Health & Medical Sciences (AREA)
- Civil Engineering (AREA)
- Architecture (AREA)
- Entrepreneurship & Innovation (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Supply And Distribution Of Alternating Current (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
Abstract
The invention relates to the technical field of building operation and maintenance management, in particular to an electromechanical equipment operation management method, device and system, wherein the electromechanical equipment operation management method comprises the following steps: acquiring historical data of total power consumption of a current building; determining target power consumption according to the acquired total power consumption historical data of the current building; establishing a regulatory factor model based on time and human flow; performing region division according to the current time and people stream; determining the regulatory factor of each region according to the regulatory factor model; and regulating and controlling the power consumption of the electromechanical equipment in each region according to the determined regulation and control factors of each region. The method provided by the invention partitions the areas by determining the target power consumption, thereby obtaining the regulating and controlling factors of each area according to the target power consumption, and regulating and controlling the running state of the electromechanical equipment of each area according to the obtained regulating and controlling factors, thereby realizing power regulation and control. According to the invention, energy consumption waste can be reduced through accurate regional power regulation.
Description
Technical Field
The invention relates to the technical field of building operation and maintenance management, in particular to an electromechanical equipment operation management method, device and system.
Background
The large public building is an important place integrating multiple industries and fields such as catering, culture, entertainment, shopping and the like. The operation of the large public building depends on various hardware devices, including temperature control devices, lighting devices, water supply devices, monitoring devices and the like.
In the management of large public buildings, an important content is cost management, and particularly, in terms of the operation and maintenance cost of equipment, how to perform power management and distribution of various types of equipment so as to reduce the cost consumption in water and electricity to the greatest extent is an important research topic in the management of large public buildings.
The invention aims to solve the problem of power regulation and control of electromechanical equipment operation in the management process of a large-scale public building so as to realize lower energy consumption.
Disclosure of Invention
In view of the foregoing, it is necessary to provide a method, an apparatus and a system for managing operation of an electromechanical device.
The embodiment of the invention is realized in such a way that an electromechanical device operation management method comprises the following steps:
acquiring historical data of total power consumption of a current building;
determining target power consumption according to the acquired total power consumption historical data of the current building;
establishing a regulatory factor model based on time and human flow;
performing region division according to the current time and people stream;
determining the regulatory factor of each region according to the regulatory factor model;
and regulating and controlling the power consumption of the electromechanical equipment in each region according to the determined regulation and control factors of each region.
In one embodiment, the present invention provides an electromechanical device operation management apparatus, including:
the acquisition module is used for acquiring historical data of total power consumption of the current building;
the target power consumption determining module is used for determining target power consumption according to the acquired total power consumption historical data of the current building;
a regulatory factor model for establishing a regulatory factor model based on time and human flow;
the region division module is used for carrying out region division according to the current time and people stream;
the regulation factor determination module is used for determining the regulation factors of all the regions according to the regulation factor model;
and the regulating and controlling module is used for regulating and controlling the power consumption of the electromechanical equipment in each region according to the determined regulating and controlling factors of each region.
In one embodiment, the present invention provides an electromechanical device operation management system, including:
the computer equipment is used for executing the electromechanical equipment operation management method;
the intelligent electric meter is connected with the computer equipment and is used for acquiring the running power consumption of each equipment or each area of motor equipment;
and the camera is connected with the computer equipment and used for acquiring people stream data of each area.
According to the method, the target power consumption is obtained through historical data, so that the power consumption is adjusted on the basis of realizing operation in a building, the power consumption adjustment is more matched with actual needs, and the reasonable adjustment of the power consumption is realized; the regulation and control factor model is established based on time and people flow, so that the regulation and control factors of each partition are determined, the whole regulation and control of the building is refined to the accurate regulation and control of each partition, the fine regulation and control of a specific area can be realized, and the influence on the whole power consumption of the whole building is reduced.
Drawings
FIG. 1 is a flow diagram of a method for managing operation of an electromechanical device, according to an embodiment;
fig. 2 is a block diagram illustrating an electromechanical device operation management apparatus according to an embodiment;
FIG. 3 is a block diagram of an electromechanical device operation management system according to an embodiment;
FIG. 4 is a block diagram showing an internal configuration of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
It will be understood that, as used herein, the terms "first," "second," and the like may be used herein to describe various elements, but these elements are not limited by these terms unless otherwise specified. These terms are only used to distinguish one element from another. For example, a first xx script may be referred to as a second xx script, and similarly, a second xx script may be referred to as a first xx script, without departing from the scope of the present disclosure.
As shown in fig. 1, in an embodiment, an electromechanical device operation management method is provided, which specifically includes the following steps:
step S100, acquiring historical data of total power consumption of the current building;
step S200, determining target power consumption according to the acquired total power consumption historical data of the current building;
step S300, establishing a regulatory factor model based on time and people stream;
step S400, area division is carried out according to the current time and people stream;
step S500, determining the regulatory factors of each region according to the regulatory factor model;
and S600, regulating and controlling the power consumption of the electromechanical equipment in each region according to the determined regulation and control factors of each region.
In this embodiment, the current building is a building using the method provided by the present invention, preferably a store-and-wait public building, and such a building is particularly suitable for the method of the present invention. In this embodiment, the historical data of the total power consumption may be obtained by the smart meter, and the power conference value shown by the smart meter is displayed with a fixed update frequency, so for the present invention, the total power consumption is a series of discrete values that change with time.
In this embodiment, the overall change direction of the power consumption of the building can be determined according to the acquired historical data of the total power consumption of the current building, so that a reasonable target power consumption is determined, and adverse effects on normal operation and maintenance of the building due to power consumption adjustment are avoided.
In this embodiment, a regulation factor model is established according to the people flow and the time, and it can be understood that the people flow refers to the number of people in the building, and is usually measured by the total number of people in the current building; the regulation factor is a factor for measuring the change before and after power regulation, and is equal to the ratio of the regulated power to the regulated power.
In this embodiment, the division of the area according to the current time and the current traffic means the control of the area in the building, and the division is not fixed but determined according to the actual traffic amount and the current time period.
In this embodiment, after each area in the building is partitioned, the partition control of each area is realized by determining the control factor of each area, specifically, by adjusting the motion power consumption of the electromechanical device in each area.
According to the method, the target power consumption is obtained through historical data, so that the power consumption is adjusted on the basis of realizing operation in a building, the power consumption adjustment is more matched with actual needs, and the reasonable adjustment of the power consumption is realized; the regulation and control factor model is established based on time and people flow, so that the regulation and control factors of each partition are determined, the whole regulation and control of the building is refined to the accurate regulation and control of each partition, the fine regulation and control of a specific area can be realized, and the influence on the whole power consumption of the whole building is reduced.
As a preferable aspect of the embodiment of the present invention, the determining the target power consumption according to the acquired total power consumption history data of the current building includes:
establishing a coordinate system by taking time as a horizontal axis and the acquired total power consumption historical data of the current building as a vertical axis;
dividing the transverse shaft into a plurality of intervals with equal length, and performing straight line fitting on data in each interval to obtain a line segment corresponding to each interval;
calculating the included angle of two adjacent line segments, and if the calculated included angle is smaller than a first set value, refitting the two adjacent line segments until the included angles of all the adjacent line segments are larger than or equal to the first set value;
determining the predicted power of the next time point according to the line segment obtained by fitting;
and multiplying the predicted power by an energy-saving coefficient to obtain the target power consumption.
In this embodiment, the horizontal axis is time, which is natural time rather than periodic cycle time (e.g., 24 hours). In this embodiment, the length of each interval may be one hour, 3 hours, 12 hours, or the like, and the shorter the interval length, the finer the data obtained, but the larger the amount of data calculation, which may be set according to the actual calculation power and the actual need.
In this embodiment, the total power consumption data of electricity in each interval is subjected to straight line fitting, the straight line fitting mode may refer to the prior art, and generally, the solution is performed by setting an objective function (for example, the sum of distances from each point to a straight line after fitting is minimum) as a limiting condition. The embodiment of the invention does not relate to the improvement of a linear fitting algorithm, but uses a multi-segment fitting mode to find the most appropriate predicted power.
In this embodiment, when the included angle of the line segment obtained by fitting the two intervals (the line segment is shown in the form of a linear equation, but only the line segment corresponding to the interval is taken) is greater than the first set value, it indicates that the difference of data between the two intervals is large, the connectivity is poor, and the prediction value is prone to be deviated when the line segment is directly used for the later prediction, so that the line segment needs to be fitted again. In this embodiment, the first set value may be 30 to 45 degrees, and may be specifically adjusted as needed, and the values used by different data sets are different.
In the embodiment, the predicted power is closely related to the closest interval, but the connectivity between the previous interval and the latest interval cannot be eliminated, so that the historical data is fully utilized in a mode of fitting and fitting from left to right one interval by one interval. In this embodiment, the predicted power of the next time point is determined according to the line segment obtained by fitting, that is, the predicted power of the next time point is obtained by extending a straight line obtained by fitting a time interval closest to the current time.
In this embodiment, the predicted power is multiplied by an energy saving coefficient to obtain the target power consumption, where the energy saving coefficient may be about 0.7-0.9, and this value cannot be too large because of the need to maintain normal operation and maintenance, but cannot be too small in consideration of the energy saving effect, and the above range is an empirical value.
As a preferable solution of the embodiment of the present invention, the refitting two adjacent line segments includes:
for the two segments which are then fitted, calculating the difference value of the total power consumption data of each power utilization and the power consumption of the corresponding abscissa of the segment obtained by fitting, calculating the mean value of the absolute values of the obtained difference values, and carrying out normalization processing on the two obtained mean values;
and taking the result of the normalization processing as a weight coefficient of the distance, and performing linear fitting on the starting point of the previous line segment, the intersection point of the two line segments and the end point of the next line segment.
In this embodiment, the difference between each piece of power consumption total power consumption data and the power consumption of the abscissa corresponding to the line segment obtained by fitting is calculated, and here, the difference between the original power consumption total power consumption data and the value of the straight line obtained by fitting corresponding to the time point is calculated for one time point, and the difference represents the difference before and after fitting. By taking the average value of the absolute values, the influence of individual abnormal data can be avoided, and the reliability of the data is improved.
In this embodiment, the average value of the first straight line is L1, and the average value of the second straight line is L2, and after the homogenization treatment, the weight coefficient of the first straight line is L2/(L1+ L2), and the weight coefficient of the second straight line is L1/(L1+ L2), and both of them need to be exchanged. Then the target straight line is y = ax + b; the objective function is:
Q=(L2/(L1+L2)*(y1-ax1-b) 2 +(y1-ax2-b) 2 + L1/(L1+L2)*(y1-ax3-b) 2 ) 1/2
taking Min (Q), the coefficients can be solved.
As a preferred aspect of the embodiment of the present invention, the establishing a regulatory factor model based on time and human flow includes:
taking time as an X axis and people flow as a Y axis, and establishing a coordinate system by taking a regulation factor obtained by the ratio of the target power consumption to the total power consumption as a Z axis;
dividing the minimum length unit of each coordinate axis according to needs, and performing linear interpolation on the starting point and the end point of each minimum length unit;
and performing surface fitting on the three-dimensional data point set obtained after interpolation, and obtaining the corresponding relation of time, people stream and regulation factors according to the fitting result.
In this embodiment, it should be noted that the ratio of the target power consumption to the total power consumption, i.e., the maximum regulation factor, is 1, i.e., no regulation is performed.
For the time axis, the minimum unit length may take minutes; for the flow rate of people, the minimum unit length can be 10 people; for regulatory factors, the minimum length unit may take 0.001.
In this embodiment, performing surface fitting on the three-dimensional data points belongs to the prior art, and this is not particularly limited in the embodiment of the present invention.
As a preferable scheme of the embodiment of the present invention, the performing area division according to the current time and the current people stream includes:
determining the number n of the region divisions according to the preset corresponding relation and time and people flow;
calling a preset camera to obtain the number of people in the corresponding area;
calculating the ratio of the number of people in each area to the total people flow in the current building;
and dividing the first n areas of which the obtained ratio is greater than the second set value into independent areas, and dividing the area of which the obtained ratio is less than the second set value into a total area.
In this embodiment, the correspondence between the time, the flow of people, and the number of area divisions can be determined by collecting history data, and may be set manually as needed. The maximum value of n is determined by data of independent cameras arranged in the building, and when n is the maximum value, each independent camera corresponds to one acquisition area.
In this embodiment, when the number of the regions having the ratio greater than the second set value is less than n, the region having the ratio greater than the second set value is taken as an independent region, and the other regions are taken as a total region of the whole, which is not limited by n. The second setting value can be 0.005-0.01, and can be specifically adjusted to obtain different sensitivities.
As a preferable aspect of the embodiment of the present invention, the determining the regulatory factor of each region according to the regulatory factor model includes:
and inputting the people stream of each region and the current time point into the regulatory factor model, and outputting the regulatory factors of each region by the regulatory factor model.
In this embodiment, the current human flow and the time point are input to the regulatory factor model, so that the corresponding regulatory factor can be output.
As a preferable scheme of the embodiment of the present invention, the controlling, according to the determined control factor of each region, the power consumption of the electromechanical device in each region includes:
respectively acquiring electromechanical equipment in each area;
calculating the current total power consumption of each area according to the obtained current power consumption of the electromechanical equipment;
regulating and controlling the total power consumption of each region according to the regulating and controlling factors of each region;
and controlling the work of the electrical equipment in each area according to the regulated and controlled total power consumption.
In the embodiment, electromechanical devices in each area are obtained, including running devices and non-running devices; each device may be assigned a code number to identify the devices. In this embodiment, the regulated value of the total power consumption is determined, and then the operating state of the specific electromechanical device is regulated so that the total power consumption is close to or equal to the regulated value.
As a preferable scheme of the embodiment of the present invention, the controlling the operation of the electrical devices in each region according to the regulated total power consumption includes:
for the temperature control equipment, adjusting the power consumption by adjusting the preset temperature and the working trigger temperature;
for the lighting device, adjusting the power consumption by adjusting the density of the working devices;
for the water supply equipment, adjusting the power consumption by adjusting the water supply pressure;
for the monitoring device, the power consumption is adjusted by adjusting the frequency of image acquisition and the density of the working device.
In the embodiment, a specific mode of power regulation of common electromechanical equipment is given; where density here refers to the spacing of the operating electromechanical devices, for example by setting a light on every 3 meters to a light on every 5 meters, where setting refers to shape control of the lights rather than the installation process.
The embodiment of the present invention further provides an electromechanical device operation management apparatus, where the electromechanical device operation management apparatus includes:
the acquisition module is used for acquiring historical data of total power consumption of the current building;
the target power consumption determining module is used for determining target power consumption according to the acquired total power consumption historical data of the current building;
a regulatory factor model for establishing a regulatory factor model based on time and human flow;
the region division module is used for carrying out region division according to the current time and people stream;
the regulation factor determination module is used for determining the regulation factors of all the regions according to the regulation factor model;
and the regulating and controlling module is used for regulating and controlling the power consumption of the electromechanical equipment in each region according to the determined regulating and controlling factors of each region.
In this embodiment, the apparatus is a module of the method part of the present invention, and for the specific explanation of each module, reference is made to the contents of the method part of the present invention, which is not described herein again in this embodiment of the present invention.
The embodiment of the present invention further provides an electromechanical device operation management system, where the electromechanical device operation management system includes:
a computer device for executing the electromechanical device operation management method according to any one or more embodiments of the present invention;
the intelligent electric meter is connected with the computer equipment and is used for acquiring the running power consumption of each equipment or each area of motor equipment;
and the camera is connected with the computer equipment and used for acquiring people stream data of each area.
In the embodiment, the method provided by the invention is executed by computer equipment; the intelligent electric meter can be arranged in each area, and can also be arranged in each type of electromechanical equipment, and of course, optionally, the calculation function of specific electric energy consumption of each electromechanical equipment can also realize the method; the camera is used for determining the people flow condition of each area, and identifying and calculating the number of people through image acquisition, which belongs to the content of the prior art, and the embodiment of the invention is not repeated.
The system provided by the invention obtains the target power consumption through the historical data, so that the adjustment of the power consumption is based on the realization of operation in the building, the power consumption adjustment is more matched with the actual requirement, and the reasonable adjustment of the power consumption is realized; the regulation and control factor model is established based on time and people flow, so that the regulation and control factors of each partition are determined, the whole regulation and control of the building is refined to the accurate regulation and control of each partition, the fine regulation and control of a specific area can be realized, and the influence on the whole power consumption of the whole building is reduced.
FIG. 4 is a diagram illustrating an internal structure of a computer device in one embodiment. The computer device is particularly applicable to the system in fig. 3. As shown in fig. 4, the computer apparatus includes a processor, a memory, a network interface, an input device, and a display screen connected through a system bus. Wherein the memory includes a non-volatile storage medium and an internal memory. The non-volatile storage medium of the computer device stores an operating system, and may further store a computer program, and when the computer program is executed by the processor, the computer program may enable the processor to implement the electromechanical device operation management method provided by the embodiment of the present invention. The internal memory may also store a computer program, and when the computer program is executed by the processor, the computer program may enable the processor to execute the operation management method for the electromechanical device according to the embodiment of the present invention. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.
Those skilled in the art will appreciate that the configuration shown in fig. 4 is a block diagram of only a portion of the configuration associated with aspects of the present invention and is not intended to limit the computing devices to which aspects of the present invention may be applied, and that a particular computing device may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, the electromechanical device operation management apparatus provided in the embodiment of the present invention may be implemented in a form of a computer program, and the computer program may be executed on a computer device as shown in fig. 4. The memory of the computer device may store various program modules constituting the electromechanical device operation management apparatus, such as the obtaining module, the target power consumption determining module, the adjustment factor model, the region dividing module, the adjustment factor determining module, and the adjustment module shown in fig. 2. The computer program constituted by the respective program modules causes the processor to execute the steps in the electromechanical device operation management method according to the respective embodiments of the present invention described in this specification.
For example, the computer device shown in fig. 4 may execute step S100 through an obtaining module in the electromechanical device operation management apparatus shown in fig. 2; the computer device may perform step S200 through the target power consumption determining module; the computer device may perform step S300 by adjusting the factor model; the computer device may perform step S400 through the region division module; the computer device may execute step S500 through the regulatory factor determination module; the computer device may execute step S600 through the regulation module.
In one embodiment, a computer device is proposed, the computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the following steps when executing the computer program:
acquiring historical data of total power consumption of a current building;
determining target power consumption according to the acquired total power consumption historical data of the current building;
establishing a regulation factor model based on time and people flow;
performing region division according to the current time and people stream;
determining the regulatory factor of each region according to the regulatory factor model;
and regulating and controlling the power consumption of the electromechanical equipment in each region according to the determined regulation and control factors of each region.
In one embodiment, a computer readable storage medium is provided, having a computer program stored thereon, which, when executed by a processor, causes the processor to perform the steps of:
acquiring historical data of total power consumption of a current building;
determining target power consumption according to the acquired total power consumption historical data of the current building;
establishing a regulatory factor model based on time and human flow;
performing region division according to the current time and people stream;
determining the regulatory factor of each region according to the regulatory factor model;
and regulating and controlling the power consumption of the electromechanical equipment in each region according to the determined regulation and control factors of each region.
It should be understood that, although the steps in the flowcharts of the embodiments of the present invention are shown in sequence as indicated by the arrows, the steps are not necessarily performed in sequence as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in various embodiments may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a non-volatile computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the program is executed. Any reference to memory, storage, databases, or other media used in embodiments provided herein may include non-volatile and/or volatile memory. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. An electromechanical device operation management method, characterized by comprising:
acquiring historical data of total power consumption of a current building;
determining target power consumption according to the acquired total power consumption historical data of the current building;
establishing a regulatory factor model based on time and human flow;
performing region division according to the current time and people stream;
determining the regulatory factor of each region according to the regulatory factor model;
and regulating and controlling the power consumption of the electromechanical equipment in each region according to the determined regulation and control factors of each region.
2. The electromechanical device operation management method according to claim 1, wherein the determining of the target power consumption according to the acquired total power consumption history data of the current building includes:
establishing a coordinate system by taking time as a horizontal axis and the acquired total power consumption historical data of the current building as a vertical axis;
dividing the transverse shaft into a plurality of intervals with equal length, and performing straight line fitting on data in each interval to obtain a line segment corresponding to each interval;
calculating the included angle of two adjacent line segments, and if the calculated included angle is smaller than a first set value, refitting the two adjacent line segments until the included angles of all the adjacent line segments are larger than or equal to the first set value;
determining the predicted power of the next time point according to the line segment obtained by fitting;
and multiplying the predicted power by an energy-saving coefficient to obtain the target power consumption.
3. The electromechanical device operation management method according to claim 2, wherein the refitting of two adjacent line segments comprises:
for the two segments which are then fitted, calculating the difference value of the total power consumption data of each power utilization and the power consumption of the corresponding abscissa of the segment obtained by fitting, calculating the mean value of the absolute values of the obtained difference values, and carrying out normalization processing on the two obtained mean values;
and taking the result of the normalization processing as a weight coefficient of the distance, and performing linear fitting on the starting point of the previous line segment, the intersection point of the two line segments and the end point of the next line segment.
4. The mechatronic device operation management method of claim 1, wherein the establishing a regulatory factor model based on time and current comprises:
taking time as an X axis and people flow as a Y axis, and obtaining a regulation factor by the ratio of the target power consumption to the total power consumption as a Z axis to establish a coordinate system;
dividing the minimum length unit of each coordinate axis according to needs, and performing linear interpolation on the starting point and the end point of each minimum length unit;
and performing surface fitting on the three-dimensional data point set obtained after interpolation, and obtaining the corresponding relation of time, people stream and regulation factors according to the fitting result.
5. The method for operation management of an electromechanical device according to claim 1, wherein the performing zone division according to the current time and people flow comprises:
determining the number n of the region divisions according to the preset corresponding relation and time and people flow;
calling a preset camera to obtain the number of people in the corresponding area;
calculating the ratio of the number of people in each area to the total people flow in the current building;
and dividing the first n areas of which the obtained ratio is greater than the second set value into independent areas, and dividing the area of which the obtained ratio is less than the second set value into a total area.
6. The method for managing the operation of an electromechanical device according to claim 1, wherein the determining the regulatory factor for each region according to the regulatory factor model includes:
and inputting the people stream of each region and the current time point into the regulatory factor model, and outputting the regulatory factors of each region by the regulatory factor model.
7. The electromechanical device operation management method according to claim 6, wherein the controlling power consumption of the electromechanical device in each region according to the determined control factor of each region includes:
respectively acquiring electromechanical equipment in each area;
calculating the current total power consumption of each area according to the obtained current power consumption of the electromechanical equipment;
regulating and controlling the total power consumption of each region according to the regulating and controlling factors of each region;
and controlling the work of the electrical equipment in each area according to the regulated and controlled total power consumption.
8. The electromechanical device operation management method according to claim 7, wherein the controlling the operation of the electromechanical devices in each region according to the regulated total power consumption includes:
for the temperature control equipment, adjusting the power consumption by adjusting the preset temperature and the working trigger temperature;
for the lighting device, adjusting the power consumption by adjusting the density of the working devices;
for the water supply equipment, adjusting the power consumption by adjusting the water supply pressure;
for the monitoring equipment, the power consumption is adjusted by adjusting the frequency of image acquisition and the density of the working equipment.
9. An electromechanical device operation management apparatus, characterized in that the electromechanical device operation management apparatus includes:
the acquisition module is used for acquiring historical data of total power consumption of the current building;
the target power consumption determining module is used for determining target power consumption according to the acquired total power consumption historical data of the current building;
a regulatory factor model for establishing a regulatory factor model based on time and human flow;
the region division module is used for carrying out region division according to the current time and people stream;
the regulation factor determination module is used for determining the regulation factors of all the regions according to the regulation factor model;
and the regulating and controlling module is used for regulating and controlling the power consumption of the electromechanical equipment in each region according to the determined regulating and controlling factors of each region.
10. An electromechanical device operation management system, characterized in that the electromechanical device operation management system comprises:
a computer device for executing the electromechanical device operation management method according to any one of claims 1 to 8;
the intelligent electric meter is connected with the computer equipment and is used for acquiring the running power consumption of each equipment or each area of motor equipment;
and the camera is connected with the computer equipment and used for acquiring people stream data of each area.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202210976135.6A CN115049083B (en) | 2022-08-15 | 2022-08-15 | Electromechanical device operation management method, device and system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202210976135.6A CN115049083B (en) | 2022-08-15 | 2022-08-15 | Electromechanical device operation management method, device and system |
Publications (2)
Publication Number | Publication Date |
---|---|
CN115049083A true CN115049083A (en) | 2022-09-13 |
CN115049083B CN115049083B (en) | 2022-11-22 |
Family
ID=83166555
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202210976135.6A Active CN115049083B (en) | 2022-08-15 | 2022-08-15 | Electromechanical device operation management method, device and system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN115049083B (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116523688A (en) * | 2023-06-27 | 2023-08-01 | 天津理工大学 | Intelligent regulation and control method for water supply system and intelligent water supply system |
Citations (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103745281A (en) * | 2014-02-11 | 2014-04-23 | 国家电网公司 | Electric load predication optimization method for N-section intervals of combined heat and power generation set |
CN108197773A (en) * | 2017-12-08 | 2018-06-22 | 囯网河北省电力有限公司电力科学研究院 | Methods of electric load forecasting, load forecast device and terminal device |
CN109035067A (en) * | 2018-07-19 | 2018-12-18 | 北京泰豪智能工程有限公司 | Building energy consumption processing method and processing device based on RF and ARMA algorithm |
CN111237989A (en) * | 2020-02-04 | 2020-06-05 | 青岛海信网络科技股份有限公司 | Building ventilation air conditioner control method and device based on load prediction |
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 |
CN112558524A (en) * | 2020-12-11 | 2021-03-26 | 上海芯物科技有限公司 | Electric appliance system control method and device, electronic equipment and storage medium |
CN112668225A (en) * | 2020-12-28 | 2021-04-16 | 深圳供电局有限公司 | Distribution network grid planning method and device, computer equipment and storage medium |
CN112996201A (en) * | 2021-02-09 | 2021-06-18 | 南京天溯自动化控制系统有限公司 | Large-scale public building illumination control method, device, system, equipment and medium |
CN113627693A (en) * | 2021-01-18 | 2021-11-09 | 吉林大学 | Real-time energy management method and device for electric automobile, automobile and storage medium |
CN114135991A (en) * | 2021-12-03 | 2022-03-04 | 中国海洋大学 | Temperature preset control and equipment early warning method for subway station public area |
CN114626562A (en) * | 2022-05-11 | 2022-06-14 | 天津理工大学 | Intelligent monitoring method and system for running state of large public building equipment |
CN114841395A (en) * | 2022-03-15 | 2022-08-02 | 国网山东省电力公司聊城供电公司 | Real-time power prediction system and method based on regional building types |
CN114897241A (en) * | 2022-05-10 | 2022-08-12 | 南京英诺森软件科技有限公司 | Intelligent building energy efficiency supervision and prediction method based on digital twins |
-
2022
- 2022-08-15 CN CN202210976135.6A patent/CN115049083B/en active Active
Patent Citations (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103745281A (en) * | 2014-02-11 | 2014-04-23 | 国家电网公司 | Electric load predication optimization method for N-section intervals of combined heat and power generation set |
CN108197773A (en) * | 2017-12-08 | 2018-06-22 | 囯网河北省电力有限公司电力科学研究院 | Methods of electric load forecasting, load forecast device and terminal device |
CN109035067A (en) * | 2018-07-19 | 2018-12-18 | 北京泰豪智能工程有限公司 | Building energy consumption processing method and processing device based on RF and ARMA algorithm |
CN111237989A (en) * | 2020-02-04 | 2020-06-05 | 青岛海信网络科技股份有限公司 | Building ventilation air conditioner control method and device based on load prediction |
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 |
CN112558524A (en) * | 2020-12-11 | 2021-03-26 | 上海芯物科技有限公司 | Electric appliance system control method and device, electronic equipment and storage medium |
CN112668225A (en) * | 2020-12-28 | 2021-04-16 | 深圳供电局有限公司 | Distribution network grid planning method and device, computer equipment and storage medium |
CN113627693A (en) * | 2021-01-18 | 2021-11-09 | 吉林大学 | Real-time energy management method and device for electric automobile, automobile and storage medium |
CN112996201A (en) * | 2021-02-09 | 2021-06-18 | 南京天溯自动化控制系统有限公司 | Large-scale public building illumination control method, device, system, equipment and medium |
CN114135991A (en) * | 2021-12-03 | 2022-03-04 | 中国海洋大学 | Temperature preset control and equipment early warning method for subway station public area |
CN114841395A (en) * | 2022-03-15 | 2022-08-02 | 国网山东省电力公司聊城供电公司 | Real-time power prediction system and method based on regional building types |
CN114897241A (en) * | 2022-05-10 | 2022-08-12 | 南京英诺森软件科技有限公司 | Intelligent building energy efficiency supervision and prediction method based on digital twins |
CN114626562A (en) * | 2022-05-11 | 2022-06-14 | 天津理工大学 | Intelligent monitoring method and system for running state of large public building equipment |
Non-Patent Citations (1)
Title |
---|
徐东: "《2006年上海大学博士学位论文》", 31 December 2009 * |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116523688A (en) * | 2023-06-27 | 2023-08-01 | 天津理工大学 | Intelligent regulation and control method for water supply system and intelligent water supply system |
CN116523688B (en) * | 2023-06-27 | 2023-09-12 | 天津理工大学 | Intelligent regulation and control method for water supply system and intelligent water supply system |
Also Published As
Publication number | Publication date |
---|---|
CN115049083B (en) | 2022-11-22 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN111237989B (en) | Building ventilation air conditioner control method and device based on load prediction | |
EP3483517B1 (en) | System and method for predicting load of and controlling subway heating, ventilation, and air conditioning system | |
KR102253734B1 (en) | Power demand management system for buildings | |
CN109670627A (en) | Method for controlling the automatic cloud of energy storage system | |
CN108053082B (en) | Power grid medium and long term load prediction method based on temperature interval decomposition | |
CN115049083B (en) | Electromechanical device operation management method, device and system | |
CN111008727A (en) | Power distribution station load prediction method and device | |
CN117217407B (en) | Method, medium and device for pre-evaluating carbon emission of power system | |
US20170244250A1 (en) | Dynamic State Estimation of Power Distribution System | |
US12038189B2 (en) | Optimization engine for energy sustainability | |
CN113348330A (en) | Management method and control method of air conditioning system, storage medium and control platform | |
CN109461091A (en) | Consider the Calculation of electric charge method and information system of photovoltaic and refrigeration duty correlation | |
Ku et al. | Building electric energy prediction modeling for BEMS using easily obtainable weather factors with Kriging model and data mining | |
Biyik et al. | Cloud-based model predictive building thermostatic controls of commercial buildings: Algorithm and implementation | |
CN116937569A (en) | Intelligent energy storage method and device for photovoltaic power generation and electronic equipment | |
CN114626562A (en) | Intelligent monitoring method and system for running state of large public building equipment | |
CN115481918A (en) | Active sensing and predictive analysis system for unit state based on source network load storage | |
CN113225994B (en) | Intelligent air conditioner control method facing data center | |
CN113723717A (en) | Method, device, equipment and readable storage medium for predicting short-term load before system day | |
CN115705608A (en) | Virtual power plant load sensing method and device | |
JP2020039222A (en) | Power supply-demand control device, power supply-demand control system, and power supply-demand control method | |
EP1270827A1 (en) | Water distribution amount predicting system | |
CN114282445A (en) | Circulating water system operation optimization method and related equipment | |
JP7258648B2 (en) | Power demand forecasting device for the target facility | |
JP7074709B2 (en) | Power consumption prediction system, method and program |
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 | ||
GR01 | Patent grant | ||
GR01 | Patent grant |