CN116245340A - TCP-based energy management method and system - Google Patents
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Abstract
The application relates to the technical field of energy management, and provides an energy management method and system based on TCP. The energy consumption device-energy consumption time sequence is obtained by analyzing M pieces of energy consumption with time and device identification, N pieces of energy consumption devices are further obtained through screening, first energy consumption devices in the N pieces of energy consumption devices are extracted, real-time working parameters of the first energy consumption devices are collected to be compared with preset working parameters to obtain comparison results and real-time parameter deviation degrees, real-time additional energy consumption data matched with the real-time parameter deviation degrees are added to a target energy consumption database to conduct energy management of a feed factory. The technical problems that in the prior art, the energy consumption management and control effectiveness and accuracy of a feed factory to feed processing equipment are insufficient, so that the electricity consumption of feed production is high and the feed production cost is improved are solved, the accurate energy consumption management and control to the feed processing equipment is realized, the electric energy loss is reduced, the feed production cost is reduced, and the economic benefit of the feed factory is indirectly improved are solved.
Description
Technical Field
The application relates to the technical field of energy management, in particular to an energy management method and system based on TCP.
Background
Along with the development of starch gelatinization technology and the gradual start of intelligent dongfeng of electrical equipment, the modern feed industry adopting the starch gelatinization technology and intelligent electrical equipment for feed production is greatly improved in production efficiency while the production labor cost is reduced.
Along with the increasing maturity of the feed industry, the competition of the feed industry is also more and more vigorous, so how to have higher market competitiveness in the feed production enterprises with almost the same production technology, the feed production enterprises become the development core of the current feed production enterprises, the cost reduction and synergy are important and effective means for realizing the market core competitiveness of the feed production enterprises, and the aim of realizing the cost reduction and synergy of each production enterprise at the present stage is not scientific, often contradicts the feed production quality requirement, and the feed production quality and the feed production cost control such as fish and bear palm cannot be achieved.
In summary, in the prior art, the energy consumption management and control effectiveness and accuracy of the feed factory on the feed processing equipment are insufficient, so that the technical problems of more electricity consumption in feed production and improvement of feed production cost are caused.
Disclosure of Invention
Based on the above, it is necessary to provide an energy management method and system based on TCP, which can realize accurate energy consumption control for feed processing equipment, reduce electric energy consumption, thereby reducing feed production cost and indirectly improving economic benefit of a feed factory.
A TCP-based energy management method comprises the following steps: acquiring a historical energy consumption record of a target feed factory, wherein the historical energy consumption record comprises M energy consumption pieces with time and equipment identifiers, and M is an integer greater than 1; analyzing the M energy consumption pieces with time and equipment identification, and obtaining energy consumption equipment-energy consumption time sequence according to analysis results; analyzing the energy consumption equipment-energy consumption time sequence and screening to obtain a target key equipment group, wherein the target key equipment group comprises N energy consumption equipment, and N is an integer greater than 1; extracting first energy consumption equipment in the N energy consumption equipment, and collecting first real-time working parameters of the first energy consumption equipment; comparing the first real-time working parameter with a first preset working parameter to obtain a first comparison result, and obtaining a first real-time parameter deviation degree based on the first comparison result; the first real-time additional energy consumption data of the first real-time parameter deviation degree is matched and added to a target energy consumption database; and performing energy management of the target feed factory based on the target energy consumption database.
A TCP-based energy management system, the system comprising: the energy consumption record acquisition module is used for acquiring a historical energy consumption record of the target feed factory, wherein the historical energy consumption record comprises M pieces of energy consumption with time and equipment identification, and M is an integer greater than 1; the energy consumption analysis execution module is used for analyzing the M energy consumption pieces with time and equipment identification, and obtaining energy consumption equipment-energy consumption time sequence according to analysis results; the key equipment screening module is used for analyzing the energy consumption equipment-energy consumption time sequence and screening to obtain a target key equipment group, wherein the target key equipment group comprises N energy consumption equipment, and N is an integer greater than 1; the working parameter extraction module is used for extracting first energy consumption equipment in the N energy consumption equipment and collecting first real-time working parameters of the first energy consumption equipment; the parameter comparison execution module is used for comparing the first real-time working parameter with a first preset working parameter to obtain a first comparison result, and obtaining a first real-time parameter deviation degree based on the first comparison result; the energy consumption data matching module is used for matching the first real-time additional energy consumption data of the first real-time parameter deviation degree and adding the first real-time additional energy consumption data to a target energy consumption database; and the energy management execution module is used for carrying out energy management of the target feed factory based on the target energy consumption database.
A computer device comprising a memory storing a computer program and a processor which when executing the computer program performs the steps of:
acquiring a historical energy consumption record of a target feed factory, wherein the historical energy consumption record comprises M energy consumption pieces with time and equipment identifiers, and M is an integer greater than 1;
analyzing the M energy consumption pieces with time and equipment identification, and obtaining energy consumption equipment-energy consumption time sequence according to analysis results;
analyzing the energy consumption equipment-energy consumption time sequence and screening to obtain a target key equipment group, wherein the target key equipment group comprises N energy consumption equipment, and N is an integer greater than 1;
extracting first energy consumption equipment in the N energy consumption equipment, and collecting first real-time working parameters of the first energy consumption equipment;
comparing the first real-time working parameter with a first preset working parameter to obtain a first comparison result, and obtaining a first real-time parameter deviation degree based on the first comparison result;
the first real-time additional energy consumption data of the first real-time parameter deviation degree is matched and added to a target energy consumption database;
and performing energy management of the target feed factory based on the target energy consumption database.
A computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of:
acquiring a historical energy consumption record of a target feed factory, wherein the historical energy consumption record comprises M energy consumption pieces with time and equipment identifiers, and M is an integer greater than 1;
analyzing the M energy consumption pieces with time and equipment identification, and obtaining energy consumption equipment-energy consumption time sequence according to analysis results;
analyzing the energy consumption equipment-energy consumption time sequence and screening to obtain a target key equipment group, wherein the target key equipment group comprises N energy consumption equipment, and N is an integer greater than 1;
extracting first energy consumption equipment in the N energy consumption equipment, and collecting first real-time working parameters of the first energy consumption equipment;
comparing the first real-time working parameter with a first preset working parameter to obtain a first comparison result, and obtaining a first real-time parameter deviation degree based on the first comparison result;
the first real-time additional energy consumption data of the first real-time parameter deviation degree is matched and added to a target energy consumption database;
and performing energy management of the target feed factory based on the target energy consumption database.
According to the TCP-based energy management method and system, the technical problems that in the prior art, the feed factory has insufficient energy consumption management and control effectiveness and accuracy for feed processing equipment, so that the feed production electricity consumption is high and the feed production cost is improved are solved, the accurate energy consumption management and control for the feed processing equipment is realized, the electric energy loss is reduced, the feed production cost is reduced, and the economic benefit of the feed factory is indirectly improved are solved.
The foregoing description is only an overview of the technical solutions of the present application, and may be implemented according to the content of the specification in order to make the technical means of the present application more clearly understood, and in order to make the above-mentioned and other objects, features and advantages of the present application more clearly understood, the following detailed description of the present application will be given.
Drawings
FIG. 1 is a flow chart of a TCP-based energy management method according to one embodiment;
FIG. 2 is a flow chart illustrating a first comparison result obtained in a TCP-based energy management method according to an embodiment;
FIG. 3 is a block diagram of a TCP-based energy management system in one embodiment;
fig. 4 is an internal structural diagram of a computer device in one embodiment.
Reference numerals illustrate: the system comprises an energy consumption record acquisition module 1, an energy consumption analysis execution module 2, a key equipment screening module 3, a working parameter extraction module 4, a parameter comparison execution module 5 and an energy consumption data matching module 6.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
As shown in fig. 1, the present application provides a TCP-based energy management method, including:
s100, acquiring a historical energy consumption record of a target feed factory, wherein the historical energy consumption record comprises M pieces of energy consumption with time and equipment identification, and M is an integer greater than 1;
s200, analyzing the M energy consumption pieces with time and equipment identification, and obtaining energy consumption equipment-energy consumption time sequence according to analysis results;
specifically, in this embodiment, the target feed factory includes a production device directly applied to a feed production process, a management and control device for managing and controlling operation of the production device, and a guarantee device for guaranteeing operation and application of the production device.
Wherein, the production equipment comprises but is not limited to raw material pretreatment working section equipment (dust removal fan, lifting machine, cleaning and screening equipment), crushing working section equipment (crushing feeder, crushing pulse fan) and granulating working section equipment (granulating feeder, granulating conditioner and cooler). The management and control equipment includes, but is not limited to, transformer houses, central control rooms, distribution rooms. The security devices include, but are not limited to, air exchangers, room lights, and ventilation fans.
And carrying out energy consumption checking statistics on M devices (M is an integer larger than 1) with different using functions in the target feed factory according to a fixed time period, and independently recording the energy consumption generated by each device in each time period to generate the historical energy consumption record, thereby obtaining the historical energy consumption record of the target feed factory, wherein the historical energy consumption record comprises M energy consumption with time and device identification corresponding to the M devices.
The target feed factory performs energy consumption checking statistics of M devices in the field with a week as a fixed time period, obtains energy consumption data of the M devices, performs identification of the obtained energy consumption data by using device names and device numbers, and accurately identifies and records time of the energy consumption checking statistics.
In this embodiment, the historical energy consumption record includes energy consumption records of M devices in multiple periods, energy consumption of one device corresponding to any one of the historical energy consumption records with time and device identifiers is extracted, energy consumption data sorting is performed based on the time identifiers, and the energy consumption of the M devices with time and device identifiers is analyzed in the same manner to obtain an analysis result, where the analysis result is multi-period energy consumption data of the M devices based on the time sorting.
And constructing a data list of energy consumption equipment-energy consumption time sequence based on the analysis result, wherein in the energy consumption equipment-energy consumption time sequence, the horizontal axis is the energy consumption time sequence, the data unit is a period, the vertical axis is equipment, and the data list specifically comprises M pieces of equipment. Based on the energy consumption equipment-energy consumption time sequence, the energy consumption condition of any equipment in the target feed factory in the historical feed production can be clearly and intuitively seen.
S300, analyzing the energy consumption equipment-energy consumption time sequence and screening to obtain a target key equipment group, wherein the target key equipment group comprises N energy consumption equipment, and N is an integer greater than 1;
in one embodiment, the analyzing the energy consumption device-energy consumption time sequence and screening to obtain the target key device group, the method provided in the present application further includes:
S310, acquiring a feed production process flow of the target feed factory;
s320, obtaining a first process according to the feed production process; and
s330, the first equipment matched with the first flow;
s340, constructing a first target device group based on the first device; and
s350, analyzing the first target equipment group and screening to obtain a second target equipment group;
s360, wherein the second target equipment group comprises a transformer, power distribution equipment and a central controller;
s370, performing union operation on the second target equipment group and the target key equipment group to obtain a union equipment group; and
and S380, replacing the target key device group by the union device group.
In one embodiment, before the analyzing the first target device group and screening to obtain the second target device group, the method step S350 provided in the present application further includes:
s351, acquiring raw material pretreatment equipment of a raw material pretreatment working section, wherein the raw material pretreatment equipment comprises raw material receiving equipment and raw material primary cleaning equipment;
s352, acquiring crushing equipment of a crushing working section, wherein the crushing equipment comprises crushing feeding equipment and crushing pulse equipment;
s353, granulating equipment of a granulating working section is obtained, wherein the granulating equipment comprises granulating feeding equipment, granulating tempering equipment and cooler fan equipment;
S354, combining the raw material receiving equipment, the raw material primary cleaning equipment, the crushing feeding equipment, the crushing pulse equipment, the granulating feeding equipment, the granulating tempering equipment and the cooler fan equipment to obtain a central control equipment group;
and S355, wherein the central control equipment group is controlled and managed by the central controller.
Specifically, it should be understood that in this embodiment, the feed production process flow includes a raw material pretreatment section for receiving a plurality of raw materials required for feed production and cleaning ash impurities in the raw materials, a pulverization section for pulverizing the raw materials required for clean feed production to ensure palatability of the feed product, and a pelletization section for mixing and compression-puffing the plurality of pulverized raw materials.
In this embodiment, raw material pretreatment equipment of a raw material pretreatment section is obtained, which comprises raw material receiving equipment (e.g., a dust removal fan, a lifter) and raw material primary cleaning equipment (e.g., a cleaning and screening equipment); obtaining crushing equipment of a crushing section, wherein the crushing equipment comprises crushing feeding equipment (such as a crushing feeder) and crushing pulse equipment (such as a crushing pulse fan); a pelletization device of a pelletization section is obtained, wherein the pelletization device comprises pelletization feeding equipment (such as a pelletization feeder), pelletization conditioning equipment (such as a pelletization conditioning device) and cooler fan equipment;
The raw material receiving equipment, the raw material primary cleaning equipment, the crushing feeding equipment, the crushing pulse equipment, the granulating feeding equipment, the granulating tempering equipment and the cooler fan equipment are subjected to equipment unified management control combination to obtain a central control equipment group, wherein the central control equipment group is used for remotely controlling all types of equipment in the whole feed production process through a central controller, and the central controller can theoretically realize single-person operation control and management of equipment power energy consumption of all production equipment.
And according to the energy consumption data acquisition time period, the energy consumption equipment-energy consumption time sequence is disassembled into a plurality of time periods, the energy consumption data of M pieces of equipment are included in each time period, the equipment ordering from large to small is performed in each time period based on the M pieces of energy consumption data, and a plurality of groups of equipment ordering results are obtained.
Extracting N (for example, the first 5) of the top ranking devices from each group as a management target device group required to be subjected to energy consumption management in the historical time period so as to reduce the energy consumption of feed production, obtaining a plurality of management target device groups, combining the same types of repeated devices, completing the device screening of M devices, and obtaining the target key device group, wherein the target key device group comprises N energy consumption devices, N is an integer greater than 1, the target key device group is a plurality of devices with larger energy consumption in a longer time period of a target feed factory, and the energy consumption cost of the target feed factory can be obviously reduced after the energy consumption management is performed.
Meanwhile, it should be understood that the equipment except the target key equipment group in the target feed factory can reduce the feed production cost by performing equipment energy consumption management, and in the target feed factory, auxiliary equipment such as illumination and temperature and humidity regulation equipment for assisting in ensuring the operation of the feed production process flow can also reduce the feed production cost by performing energy consumption management.
Therefore, on the basis of obtaining the target key equipment group, the embodiment further analyzes and determines a plurality of equipment which are used for carrying out energy consumption management and saving energy sources in the target feed factory and are not contrary to the economic benefit of feed production of the target feed factory as management objects for actually carrying out energy consumption management.
Specifically, in this embodiment, a feed production process flow of the target feed factory is obtained, where the feed production process flow is divided into a raw material pretreatment section, a crushing section and a granulating section, and each section is connected with the feed production process flow of the train to obtain a first flow, and the first flow includes a raw material pretreatment stage, a crushing stage and a granulating stage, and corresponds to the raw material pretreatment section, the crushing section and the granulating section.
The first equipment matched with the first process comprises various working section equipment which actually participates in the feed production process flow to contact feed production raw materials, semi-finished products and finished products, ventilation equipment which reduces the dust concentration of a factory building and avoids the occurrence of factory building dust explosion safety accidents, temperature adjusting equipment and humidity adjusting equipment which adjust the temperature and humidity in the factory building, lighting equipment which provides night lighting for a target feed factory, a central controller which remotely adjusts and controls the operation of the working section equipment of the first process, and a transformer and power distribution equipment which perform power supply adjusting and controlling of the target feed factory.
And constructing a first target equipment group based on the first equipment, wherein the first target equipment group comprises all the equipment which directly participates in or indirectly provides guarantee for a first process, analyzing the first target equipment group based on historical experience of technicians in a target feed factory and screening to obtain a second target equipment group, wherein the second target equipment group is a plurality of equipment which does not influence the production efficiency of the target feed factory when performing energy consumption saving intervention, and the second target equipment group at least comprises a transformer, a power distribution equipment and a central controller.
And performing union operation on the second target equipment group and the target key equipment group, merging similar items of equipment which are simultaneously present in the second target equipment and the target key equipment group to obtain a union equipment group, and replacing the target key equipment group by the union equipment group, wherein the union equipment group is consistent with the target key equipment group and comprises N energy consumption equipment, and N is an integer greater than 1.
According to the embodiment, in the target feed factory, the energy consumption management can be performed through analysis and determination, so that the generation cost of the target feed factory is reduced, a plurality of devices for the actual feed production efficiency of the target feed factory are not affected, and the technical effect of providing references for the follow-up targeted and accurate management of the energy consumption of the target feed factory is achieved.
S400, extracting first energy consumption equipment in the N energy consumption equipment, and collecting first real-time working parameters of the first energy consumption equipment;
specifically, in this embodiment, among N energy consuming devices of the target key device group (or the union device group), any one of the N energy consuming devices is extracted as the first energy consuming device, and a first real-time working parameter of the first energy consuming device is collected.
The parameter index of the first real-time working parameter depends on specific energy consumption equipment, and the first energy consumption equipment is a crushing feeder, so that the parameter index of the first real-time working parameter comprises spindle rotation speed, crushing fineness and power; the first energy consumption device is a granulating conditioner, and the parameter indexes of the first real-time working parameter comprise rotating speed, temperature, humidity and water feeding amount.
And determining an operating parameter index of the first energy consumption according to the specific type of the first energy consumption equipment to obtain the first real-time operating parameter, wherein the first real-time operating parameter is used for consulting and judging whether the first energy consumption equipment has energy consumption which does not use and improves the feed production efficiency, namely whether the first energy consumption equipment has energy consumption resource waste.
S500, comparing the first real-time working parameter with a first preset working parameter to obtain a first comparison result, and obtaining a first real-time parameter deviation degree based on the first comparison result;
in one embodiment, as shown in fig. 2, the comparing the first real-time working parameter with a first preset working parameter to obtain a first comparison result, and the method step S500 provided herein further includes:
s510, acquiring a first historical work record of the first energy consumption device, wherein the first historical work record comprises a plurality of historical work parameters with historical energy consumption identifiers;
s520, energy consumption optimizing is carried out according to the plurality of historical working parameters with the historical energy consumption identifiers, so that the optimal historical working parameters are obtained;
s530, wherein the optimal historical operating parameter refers to the historical operating parameter with the minimum unit energy consumption of the first energy consumption equipment;
s540, taking the optimal historical working parameters as the first preset working parameters.
In one embodiment, the energy consumption optimizing is performed according to the plurality of historical working parameters with the historical energy consumption identifiers to obtain an optimal historical working parameter, and step S520 of the method provided by the present application further includes:
S521, determining an optimizing space based on the plurality of historical working parameters with the historical energy consumption identifiers, wherein the optimizing space refers to the plurality of historical working parameters;
s522, determining optimizing evaluation parameters based on the plurality of historical working parameters with the historical energy consumption identifications, wherein the optimizing evaluation parameters refer to the plurality of historical energy consumption identifications;
s523, randomly acquiring a first parameter in the optimizing space, wherein the first parameter has first energy consumption; and
s524, determining a first neighborhood of the first parameter according to a preset neighborhood scheme, wherein the first neighborhood comprises a plurality of neighborhood parameters;
s525, sequentially matching the energy consumption of the neighborhood parameters, and comparing the energy consumption to obtain a first optimal neighborhood parameter;
s526, acquiring first optimal neighborhood energy consumption of the first optimal neighborhood parameter, and comparing the first optimal neighborhood energy consumption with the first energy consumption;
s527, if the energy consumption of the first optimal neighborhood is smaller than the first energy consumption, the first optimal neighborhood parameter is used as the optimal historical working parameter.
In one embodiment, after the obtaining the first optimal neighborhood energy consumption of the first optimal neighborhood parameter and comparing the first optimal neighborhood energy consumption with the first energy consumption, the method step S526 provided in the present application further includes:
S526-1, if the energy consumption of the first optimal neighborhood is greater than or equal to the first energy consumption, the first parameter is used as the optimal historical working parameter.
Specifically, in this embodiment, the first preset operating parameter is an operating parameter of the first energy consumption device when the first energy consumption device is operating at full load, and the operating efficiency is the highest and the energy consumption is the lowest, and the method for obtaining the first preset operating parameter is as follows:
and taking any one of the N energy consumption devices as the first energy consumption device, wherein the historical working parameters of all devices in the target feed factory and the energy consumption data generated when the devices run with the historical working parameters are stored in the device work log of the target feed factory. And calling and acquiring the first historical working record of the first energy consumption device based on the device working log of the target feed factory, wherein the first historical working record comprises a plurality of historical working parameters with historical energy consumption identifiers, each historical energy consumption identifier corresponds to one historical working parameter, and the historical working parameters consist of specific data of a plurality of working parameter index items.
Constructing a multi-dimensional optimizing space, wherein a plurality of parameter index items of the historical working parameters correspond to a plurality of dimensions of the optimizing space, determining a data unit of each dimension, disassembling the historical working parameters with the historical energy consumption identifiers according to the working parameter indexes to obtain a plurality of groups of working parameter data corresponding to the working parameter indexes, and sequencing the working parameter data from large to small in groups so as to ensure that a plurality of data with consistent working indexes are ordered.
And correspondingly bringing a plurality of working parameter data corresponding to each working index item into a multidimensional optimizing space to perform optimizing space filling, further taking the historical energy consumption as particle points of the multidimensional optimizing space, positioning a plurality of particle points in the multidimensional optimizing space according to the mapping relation between the historical energy consumption identifications and the historical working parameters (each historical energy consumption identification corresponds to one historical working parameter and consists of specific data of a plurality of working parameter index items), filling the historical energy consumption identifications into the plurality of particle points of the optimizing space, completing construction of the optimizing space, and taking the historical energy consumption identifications of the plurality of particle points in the optimizing space as optimizing evaluation parameters of the historical working parameters corresponding to the particle points.
The method comprises the steps of randomly acquiring a first parameter in the optimizing space, wherein the first parameter is provided with first energy consumption, the first parameter is a historical working parameter (comprising a plurality of pieces of working parameter index data) corresponding to a random particle point in the optimizing space, and the first energy consumption is an optimizing evaluation parameter of the particle point corresponding to the first parameter.
The preset neighborhood scheme is used for determining a particle selection scheme for comparing whether the first parameter is a historical working parameter with minimum unit energy consumption, and the preset neighborhood scheme is exemplified by selecting 100 particle points with the closest distance to the particle point vector of the first parameter in the optimizing space.
And determining a first neighborhood of the first parameter according to a preset neighborhood scheme, wherein the first neighborhood comprises a plurality of particle points, and the particles correspond to a plurality of neighborhood parameters and a plurality of optimizing evaluation parameters.
Based on a plurality of optimizing evaluation parameters corresponding to a plurality of particle points, a plurality of energy consumption data of a first neighborhood are obtained, numerical comparison is carried out on the plurality of energy consumption data, the order from small to large is completed, the first optimal neighborhood parameters are obtained, and the historical energy consumption data corresponding to the first optimal neighborhood parameters are the smallest.
The first optimal neighborhood energy consumption is an optimizing evaluation parameter corresponding to the first optimal neighborhood parameter, the first optimal neighborhood energy consumption of the first optimal neighborhood parameter is compared with the first energy consumption, the optimal historical operating parameter is generated based on a comparison result, and the optimal historical operating parameter is the historical operating parameter with the minimum unit energy consumption of the first energy consumption equipment.
Specifically, if the energy consumption of the first optimal neighborhood is greater than or equal to the first energy consumption, the first parameter is used as the optimal historical working parameter, if the energy consumption of the first optimal neighborhood is smaller than the first energy consumption, the first optimal neighborhood parameter is used as the optimal historical working parameter, the optimal historical working parameter is used as the first preset working parameter, and the first preset working parameter is the working parameter of the first energy consumption equipment when the first energy consumption equipment is in full-load operation, and the working efficiency is the highest and the energy consumption is the lowest.
And comparing the first real-time working parameters with each parameter index in the first preset working parameters one by taking the first preset working parameters as comparison references to obtain a first comparison result, wherein the first comparison result consists of parameter deviation degrees of one or more parameter indexes, and the first real-time parameter deviation degrees are obtained based on the first comparison result and are data mapping tables, and the first real-time deviation degrees comprise a plurality of working parameter indexes and corresponding parameter deviation degree data.
And obtaining preset working parameters of any one of the N energy consumption devices and calculating the deviation degree of the implementation parameters by adopting the same method.
According to the method, the optimizing space is constructed based on the historical operation parameters and unit energy consumption of the energy consumption equipment, so that the technical effect of providing an analysis model for scientifically and accurately judging whether the current energy consumption equipment is in the operation of the lowest unit energy consumption state is achieved, effective energy consumption adjustment of the energy consumption equipment is achieved, and the ineffective energy consumption loss of the equipment is reduced.
S600, matching the first real-time additional energy consumption data of the first real-time parameter deviation degree, and adding the first real-time additional energy consumption data to a target energy consumption database;
and S700, performing energy management of the target feed factory based on the target energy consumption database.
Specifically, in this embodiment, in the optimizing model, a particle point corresponding to the first real-time working parameter and an optimizing evaluation parameter (i.e., a historical energy consumption identifier) of the particle point are obtained, the optimizing evaluation parameter is used as first real-time energy consumption data of the first real-time working parameter, difference calculation is performed on the first real-time energy consumption data and the optimizing evaluation parameter of the first preset working parameter, so as to obtain first real-time additional energy consumption data, where the first real-time additional energy consumption data is energy consumption that is generated when the device operates with the first real-time working parameter and exceeds the minimum energy consumption. And packaging the first real-time parameter deviation degree and the first real-time additional energy consumption data, and adding the first real-time parameter deviation degree and the first real-time additional energy consumption data to a target energy consumption database after the first real-time parameter deviation degree and the first real-time additional energy consumption data are identified by the equipment name label.
The staff of the target feed factory refers to the target energy consumption database, and remotely controls all types of equipment in the whole feed production process through the central controller, so that the energy consumption of the equipment in the target energy consumption database is controlled and managed, and the technical effects of accurately controlling the feed processing equipment, reducing the electric energy consumption, reducing the feed production cost and indirectly improving the economic benefit of the feed factory are achieved.
In an embodiment, the obtaining the first real-time parameter deviation based on the first comparison result further includes:
s550, matching a first parameter deviation grade of the first real-time parameter deviation degree;
s560, acquiring a preset deviation control scheme, and regulating and controlling the first energy consumption equipment by combining the first parameter deviation grade to obtain a first regulating and controlling parameter.
Specifically, in this embodiment, a deviation level is preset, where the deviation level characterizes a degree of deviation of the first real-time operating parameter of the first device from the first preset operating parameter, i.e. a degree of deviation of the first real-time parameter deviation. The grading of the deviation grade may be set according to the working experience of the staff of the target feed factory, and this embodiment is not limited thereto.
On the basis of obtaining the first real-time parameter deviation degree, respectively carrying out absolute value calculation on parameter deviation degree data of a plurality of parameter indexes in the first real-time parameter deviation degree, then carrying out data summation, matching the first parameter deviation degree of the first real-time parameter deviation degree in the preset deviation degree according to a data summation result, wherein the higher the first parameter deviation degree is, the more the first parameter deviation degree is, the target feed factory staff is required to observe whether the real-time working parameter of the first energy consumption device is stable or fluctuant near the first preset working parameter after the adjustment is carried out, and the observed energy consumption data is consistent with the historical energy consumption identification of the first preset working parameter.
Generating adjustment signals of a plurality of parameter indexes according to parameter deviation data of a plurality of parameter indexes of the first real-time parameter deviation degree, forming a preset deviation control scheme based on the adjustment signals, regulating and controlling the first energy consumption equipment by target feed factory staff based on the preset deviation control scheme and combining the first parameter deviation grade to obtain a first regulation and control parameter, wherein the first regulation and control parameter is the working parameter of the first energy consumption equipment running at the current equipment after the working parameter regulation is carried out on the first energy consumption equipment, and observing whether the first regulation and control parameter is stable or fluctuated near the first preset working parameter or not by the target feed factory staff and observing that the energy consumption data under the first regulation and control parameter is consistent with the historical energy consumption identification of the first preset working parameter.
According to the method, the device and the system for adjusting the energy consumption equipment, the grade definition is carried out on the deviation of the energy consumption equipment, so that references are provided for adjustment personnel of the target feed factory for observing the operation stability of the energy consumption equipment after adjustment, a preset deviation control scheme is obtained, the first energy consumption equipment is regulated and controlled by combining the first parameter deviation grade, the operation adjustment of equipment with energy consumption waste in the target feed factory is timely interfered, the energy waste of the target feed factory is reduced, and the feed production cost is reduced.
In one embodiment, as shown in fig. 3, there is provided a TCP-based energy management system, comprising: the system comprises an energy consumption record acquisition module 1, an energy consumption analysis execution module 2, a key equipment screening module 3, a working parameter extraction module 4, a parameter comparison execution module 5, an energy consumption data matching module 6 and an energy management execution module 7, wherein:
the energy consumption record acquisition module 1 is used for acquiring a historical energy consumption record of a target feed factory, wherein the historical energy consumption record comprises M pieces of energy consumption with time and equipment identification, and M is an integer greater than 1;
the energy consumption analysis execution module 2 is used for analyzing the M energy consumption with time and equipment identification, and obtaining energy consumption equipment-energy consumption time sequence according to analysis results;
the key equipment screening module 3 is used for analyzing the energy consumption equipment-energy consumption time sequence and screening to obtain a target key equipment group, wherein the target key equipment group comprises N energy consumption equipment, and N is an integer greater than 1;
the working parameter extraction module 4 is used for extracting first energy consumption equipment in the N energy consumption equipment and collecting first real-time working parameters of the first energy consumption equipment;
the parameter comparison execution module 5 is used for comparing the first real-time working parameter with a first preset working parameter to obtain a first comparison result, and obtaining a first real-time parameter deviation degree based on the first comparison result;
The energy consumption data matching module 6 is used for matching the first real-time additional energy consumption data of the first real-time parameter deviation degree and adding the first real-time additional energy consumption data to a target energy consumption database;
and the energy management execution module 7 is used for carrying out energy management of the target feed factory based on the target energy consumption database.
In one embodiment, the system further comprises:
a process flow obtaining unit, configured to obtain a feed production process flow of the target feed factory;
the first flow obtaining unit is used for obtaining a first flow according to the feed production process flow; and
the first equipment matching unit is used for matching the first equipment of the first flow;
an equipment group establishing unit configured to establish a first target equipment group based on the first equipment; and
the device screening analysis unit is used for analyzing the first target device group and screening to obtain a second target device group;
the equipment condition knowing unit is used for enabling the second target equipment group to comprise a transformer, power distribution equipment and a central controller;
the union operation execution unit is used for performing union operation on the second target equipment group and the target key equipment group to obtain a union equipment group; and
And the device replacement execution unit is used for replacing the target key device group with the union device group.
In one embodiment, the system further comprises:
a raw material equipment acquisition unit for acquiring raw material pretreatment equipment of a raw material pretreatment working section, wherein the raw material pretreatment equipment comprises raw material receiving equipment and raw material primary cleaning equipment;
a crushing equipment acquisition unit for acquiring crushing equipment of a crushing section, wherein the crushing equipment comprises crushing feeding equipment and crushing pulse equipment;
the granulating equipment acquisition unit is used for acquiring granulating equipment of a granulating section, wherein the granulating equipment comprises granulating feeding equipment, granulating conditioning equipment and cooler fan equipment;
the equipment combination control unit is used for combining the raw material receiving equipment, the raw material primary cleaning equipment, the crushing feeding equipment, the crushing pulse equipment, the granulating feeding equipment, the granulating tempering equipment and the cooler fan equipment to obtain a central control equipment group;
and the central management execution unit is used for controlling and managing the central control equipment group by the central controller.
In one embodiment, the system further comprises:
The working record acquisition unit is used for acquiring a first historical working record of the first energy consumption device, wherein the first historical working record comprises a plurality of historical working parameters with historical energy consumption identifiers;
the energy consumption optimizing execution unit is used for carrying out energy consumption optimizing according to the plurality of historical working parameters with the historical energy consumption identifiers to obtain optimal historical working parameters;
an optimal parameter obtaining unit, configured to obtain an optimal historical operating parameter, where the optimal historical operating parameter refers to a historical operating parameter with the smallest unit energy consumption of the first energy consumption device;
and the optimal parameter definition unit is used for taking the optimal historical working parameter as the first preset working parameter.
In one embodiment, the system further comprises:
the optimizing space determining unit is used for determining an optimizing space based on the plurality of historical working parameters with the historical energy consumption identifications, wherein the optimizing space refers to the plurality of historical working parameters;
an evaluation parameter obtaining unit, configured to determine an optimizing evaluation parameter based on the plurality of historical operating parameters with historical energy consumption identifiers, where the optimizing evaluation parameter refers to the plurality of historical energy consumption identifiers;
the random parameter acquisition unit is used for randomly acquiring a first parameter in the optimizing space, wherein the first parameter is provided with first energy consumption; and
A neighborhood parameter obtaining unit, configured to determine a first neighborhood of the first parameter according to a preset neighborhood scheme, where the first neighborhood includes a plurality of neighborhood parameters;
the optimal neighborhood obtaining unit is used for sequentially matching the energy consumption of the neighborhood parameters and comparing the energy consumption to obtain a first optimal neighborhood parameter;
the energy consumption comparison execution unit is used for acquiring the first optimal neighborhood energy consumption of the first optimal neighborhood parameter and comparing the first optimal neighborhood energy consumption with the first energy consumption;
and the comparison result processing unit is used for taking the first optimal neighborhood parameter as the optimal historical working parameter if the energy consumption of the first optimal neighborhood is smaller than the first energy consumption.
In one embodiment, the system further comprises:
and the comparison result execution unit is used for taking the first parameter as the optimal historical working parameter if the energy consumption of the first optimal neighborhood is greater than or equal to the first energy consumption.
In one embodiment, the system further comprises:
the parameter deviation matching unit is used for matching a first parameter deviation grade of the first real-time parameter deviation degree;
and the equipment regulation and control execution unit is used for acquiring a preset deviation control scheme, and regulating and controlling the first energy consumption equipment by combining the first parameter deviation grade to obtain a first regulation and control parameter.
For a specific embodiment of a TCP-based energy management system, reference may be made to the above embodiment of a TCP-based energy management method, which is not described herein. Each of the modules in the TCP-based energy management system may be implemented in whole or in part by software, hardware, or a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 4. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is used for storing news data, time attenuation factors and other data. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program, when executed by a processor, implements a TCP-based energy management method.
Those skilled in the art will appreciate that the structures shown in FIG. 4 are block diagrams only and do not constitute a limitation of the computer device on which the present aspects apply, and that a particular computer device may include more or less components than those shown, or may combine some of the components, or have a different arrangement of components.
In one embodiment, a computer device is provided comprising a memory and a processor, the memory having stored therein a computer program, the processor when executing the computer program performing the steps of: acquiring a historical energy consumption record of a target feed factory, wherein the historical energy consumption record comprises M energy consumption pieces with time and equipment identifiers, and M is an integer greater than 1; analyzing the M energy consumption pieces with time and equipment identification, and obtaining energy consumption equipment-energy consumption time sequence according to analysis results; analyzing the energy consumption equipment-energy consumption time sequence and screening to obtain a target key equipment group, wherein the target key equipment group comprises N energy consumption equipment, and N is an integer greater than 1; extracting first energy consumption equipment in the N energy consumption equipment, and collecting first real-time working parameters of the first energy consumption equipment; comparing the first real-time working parameter with a first preset working parameter to obtain a first comparison result, and obtaining a first real-time parameter deviation degree based on the first comparison result; the first real-time additional energy consumption data of the first real-time parameter deviation degree is matched and added to a target energy consumption database; and performing energy management of the target feed factory based on the target energy consumption database.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples merely represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the invention. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application is to be determined by the claims appended hereto.
Claims (10)
1. A TCP-based energy management method, comprising:
acquiring a historical energy consumption record of a target feed factory, wherein the historical energy consumption record comprises M energy consumption pieces with time and equipment identifiers, and M is an integer greater than 1;
analyzing the M energy consumption pieces with time and equipment identification, and obtaining energy consumption equipment-energy consumption time sequence according to analysis results;
Analyzing the energy consumption equipment-energy consumption time sequence and screening to obtain a target key equipment group, wherein the target key equipment group comprises N energy consumption equipment, and N is an integer greater than 1;
extracting first energy consumption equipment in the N energy consumption equipment, and collecting first real-time working parameters of the first energy consumption equipment;
comparing the first real-time working parameter with a first preset working parameter to obtain a first comparison result, and obtaining a first real-time parameter deviation degree based on the first comparison result;
the first real-time additional energy consumption data of the first real-time parameter deviation degree is matched and added to a target energy consumption database;
and performing energy management of the target feed factory based on the target energy consumption database.
2. The method for energy management according to claim 1, wherein analyzing the energy consumption device-energy consumption time sequence and screening to obtain a target key device group comprises:
acquiring a feed production process flow of the target feed factory;
obtaining a first process according to the feed production process; and
a first device matching the first flow;
constructing a first target device group based on the first device; and
Analyzing the first target equipment group and screening to obtain a second target equipment group;
the second target equipment group comprises a transformer, power distribution equipment and a central controller;
performing union operation on the second target equipment group and the target key equipment group to obtain a union equipment group; and
and replacing the target key device group with the union device group.
3. The energy management method according to claim 2, further comprising, before said analyzing said first target device group and screening to obtain a second target device group:
raw material pretreatment equipment of a raw material pretreatment working section is obtained, wherein the raw material pretreatment equipment comprises raw material receiving equipment and raw material primary cleaning equipment;
obtaining crushing equipment of a crushing working section, wherein the crushing equipment comprises crushing feeding equipment and crushing pulse equipment;
the method comprises the steps of obtaining granulating equipment of a granulating working section, wherein the granulating equipment comprises granulating feeding equipment, granulating tempering equipment and cooler fan equipment;
combining the raw material receiving equipment, the raw material primary cleaning equipment, the crushing feeding equipment, the crushing pulse equipment, the granulating feeding equipment, the granulating tempering equipment and the cooler fan equipment to obtain a central control equipment group;
Wherein, the central control equipment group is controlled and managed by the central controller.
4. The method of claim 1, wherein comparing the first real-time operating parameter with a first predetermined operating parameter to obtain a first comparison result comprises:
acquiring a first historical working record of the first energy consumption device, wherein the first historical working record comprises a plurality of historical working parameters with historical energy consumption identifiers;
performing energy consumption optimizing according to the plurality of historical working parameters with the historical energy consumption identifications to obtain optimal historical working parameters;
the optimal historical working parameter refers to the historical working parameter with the smallest unit energy consumption of the first energy consumption equipment;
and taking the optimal historical working parameter as the first preset working parameter.
5. The energy management method according to claim 4, wherein the performing energy consumption optimizing according to the plurality of historical operating parameters with historical energy consumption identifiers to obtain an optimal historical operating parameter includes:
determining an optimizing space based on the plurality of historical working parameters with the historical energy consumption identifications, wherein the optimizing space refers to the plurality of historical working parameters;
Determining optimizing evaluation parameters based on the plurality of historical working parameters with the historical energy consumption identifications, wherein the optimizing evaluation parameters refer to the plurality of historical energy consumption identifications;
randomly acquiring a first parameter in the optimizing space, wherein the first parameter has first energy consumption; and
determining a first neighborhood of the first parameter according to a preset neighborhood scheme, wherein the first neighborhood comprises a plurality of neighborhood parameters;
sequentially matching the energy consumption of the neighborhood parameters, and comparing the energy consumption to obtain a first optimal neighborhood parameter;
acquiring first optimal neighborhood energy consumption of the first optimal neighborhood parameter, and comparing the first optimal neighborhood energy consumption with the first energy consumption;
and if the energy consumption of the first optimal neighborhood is smaller than the first energy consumption, taking the first optimal neighborhood parameter as the optimal historical working parameter.
6. The energy management method according to claim 5, further comprising, after the obtaining the first optimal neighborhood energy consumption of the first optimal neighborhood parameter and comparing it with the first energy consumption:
and if the energy consumption of the first optimal neighborhood is greater than or equal to the first energy consumption, taking the first parameter as the optimal historical working parameter.
7. The method of claim 1, wherein the obtaining the first real-time parameter bias based on the first comparison result further comprises:
a first parameter bias level matching the first real-time parameter bias level;
and acquiring a preset deviation control scheme, and regulating and controlling the first energy consumption equipment by combining the first parameter deviation grade to obtain a first regulating and controlling parameter.
8. A TCP-based energy management system, said system comprising:
the energy consumption record acquisition module is used for acquiring a historical energy consumption record of the target feed factory, wherein the historical energy consumption record comprises M pieces of energy consumption with time and equipment identification, and M is an integer greater than 1;
the energy consumption analysis execution module is used for analyzing the M energy consumption pieces with time and equipment identification, and obtaining energy consumption equipment-energy consumption time sequence according to analysis results;
the key equipment screening module is used for analyzing the energy consumption equipment-energy consumption time sequence and screening to obtain a target key equipment group, wherein the target key equipment group comprises N energy consumption equipment, and N is an integer greater than 1;
the working parameter extraction module is used for extracting first energy consumption equipment in the N energy consumption equipment and collecting first real-time working parameters of the first energy consumption equipment;
The parameter comparison execution module is used for comparing the first real-time working parameter with a first preset working parameter to obtain a first comparison result, and obtaining a first real-time parameter deviation degree based on the first comparison result;
the energy consumption data matching module is used for matching the first real-time additional energy consumption data of the first real-time parameter deviation degree and adding the first real-time additional energy consumption data to a target energy consumption database;
and the energy management execution module is used for carrying out energy management of the target feed factory based on the target energy consumption database.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 7 when the computer program is executed.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 7.
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| CN116643526B (en) * | 2023-06-12 | 2024-04-23 | 上海启斯云计算有限公司 | Power supply energy-saving control method and system |
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