CN115325674B - Power supply system of cold and hot air supply device for power distribution operation - Google Patents
Power supply system of cold and hot air supply device for power distribution operation Download PDFInfo
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- CN115325674B CN115325674B CN202211250769.XA CN202211250769A CN115325674B CN 115325674 B CN115325674 B CN 115325674B CN 202211250769 A CN202211250769 A CN 202211250769A CN 115325674 B CN115325674 B CN 115325674B
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/64—Electronic processing using pre-stored data
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/34—Parallel operation in networks using both storage and other dc sources, e.g. providing buffering
- H02J7/35—Parallel operation in networks using both storage and other dc sources, e.g. providing buffering with light sensitive cells
Abstract
The invention provides a power supply system of a cold and hot air supply device for power distribution operation, which belongs to the technical field of power supply and distribution and specifically comprises the following components: the temperature measuring device is responsible for sending the ambient temperature to the control system; the humidity measuring device is responsible for starting the environmental humidity to the control system; the wind speed measuring device is responsible for sending the ambient wind speed to the control system; control system basis ambient temperature, ambient humidity, ambient wind speed are through body feeling temperature prediction model prediction obtain initial body feeling temperature to obtain body feeling temperature compensation coefficient according to the insulating clothing type, it is right body feeling temperature compensates, obtains body feeling temperature, and when the difference according to body feeling temperature, the different power of control electric energy output system output, thereby make cold and hot air supply arrangement can work according to the demand, can also further promote staff's comfort level when reducing power consumption.
Description
Technical Field
The invention belongs to the technical field of power supply and distribution, and particularly relates to a power supply system of a cold and hot air supply device for power distribution operation.
Background
In the live working of the ultra-high voltage transmission line, the space electric field is high, the working distance is large, and an operator wears a shielding clothes to enter a high potential and adopts an equipotential method to overhaul and maintain, so that the live working mode is safe and convenient. However, in live-line work of a distribution line, because the voltage of a distribution network is low, the space distance between three-phase wires is small, and distribution facilities are dense, the working range is narrow, and electric facilities with different potentials can be easily touched within the range of human motion, the key point of safety protection is that a live body for isolating or shielding different potentials in work and an insulating protective tool should be worn by an operator. At present, insulation wearing appliances for live working of a power distribution network in China mainly comprise insulation gloves, insulation boots and insulation clothes for whole-body insulation protection, so that safety protection is provided for a human body, but when the insulation clothes for whole-body insulation protection are worn in power distribution overhauling operation, heat dissipation and environment burning are often caused, dangerous situations such as heatstroke are possibly caused, the environment is complicated in power distribution operation, and the danger degree is further deepened.
Chinese utility model patent grant publication No. CN215808982U discloses a cold and hot air supply arrangement is used in distribution operation, including air collecting box, supporting leg, tuber pipe, footboard platform, exhaust vent, operating panel, ventilation window, solar panel, four supporting legs that the symmetric distribution was installed to air collecting box for four sides rectangle structure and bottom, the supporting leg mid-mounting has the tuber pipe of bolt fastening and is connected with the footboard platform of bottom, open at footboard platform top middle part has the exhaust vent of equidistance symmetric distribution, air collecting box right-hand member face mid-mounting has embedded operating panel, open the rectangle structure ventilation window that has the symmetric distribution in the positive terminal surface middle part of air collecting box, air collecting box top mid-mounting has the rectangle structure solar panel of bolt fastening to increase cold and hot integral type regulatory function through the reasonable design and be convenient for in summer and winter electric power construction, reduce simultaneously that the exhaust vent that the sole caused blocks up and be convenient for the clearance and avoid the wind gap straight blow to cause the staff discomfort, but the complicated many overhaul areas of site operation environment are inconvenient to get the electricity, and do not have energy-saving measure, can not carry out the regulation of cold and hot wind speed according to the actual air supply demand, further promote the staff's comfort level when energy-saving.
In view of the above technical problems, it is desirable to design a power supply system for a cold and hot air supply device for power distribution operation.
Disclosure of Invention
In order to realize the purpose of the invention, the invention adopts the following technical scheme:
in order to solve the above technical problem, a first aspect of the present invention provides a power supply system for a cold and hot air blower for power distribution operation, comprising:
the system comprises a temperature measuring device, a humidity measuring device, a wind speed measuring device, a storage battery, a photovoltaic power generation device, an electric energy output system and a control system;
the temperature measuring device is responsible for measuring the ambient temperature and sending the ambient temperature to the control system;
the humidity measuring device is used for measuring the ambient humidity and sending the ambient humidity to the control system;
the wind speed measuring device is responsible for measuring the ambient wind speed and sending the ambient wind speed to the control system;
the control system obtains initial body sensing temperature through body sensing temperature prediction model prediction according to the environment temperature, the environment humidity and the environment wind speed, obtains body sensing temperature compensation coefficients according to the type of the insulating garment, compensates the body sensing temperature to obtain body sensing temperature, outputs first power to the cold and hot air supply device through the electric energy output system when the body sensing temperature is larger than a first threshold value, outputs second power to the cold and hot air supply device through the electric energy output system when the body sensing temperature is larger than a second threshold value, and outputs third power to the cold and hot air supply device through the electric energy output system when the body sensing temperature is smaller than a third threshold value;
the storage battery is used for storing the charging electric energy of an external power supply and storing the electric energy of the photovoltaic power generation device;
the photovoltaic power generation device is responsible for generating power and storing electric energy into a storage battery;
and the electric energy output system is responsible for outputting the electric energy of the storage battery through a control instruction of the control system.
At first charge the battery through external power supply to with photovoltaic power generation device's electric energy storage, control system is based on ambient temperature, ambient humidity, ambient wind speed are felt the temperature through body and are obtained initial body through body temperature prediction model prediction, and obtain body according to insulating clothing type and feel the temperature compensation coefficient, it is right body temperature is felt the temperature and compensate, obtains body temperature, works as body temperature is greater than when first threshold value, through electric energy output system exports first power to cold and hot air supply unit, works as when body temperature is greater than the second threshold value, through electric energy output system exports the second power to cold and hot air supply unit, works as when body temperature is less than the third threshold value, through electric energy output system exports the third power to cold and hot air supply unit to the regulation that the realization carries out the wind speed according to the cold and hot air supply demand of reality, can also further promote staff's comfort level when energy-conserving, very big promotion holistic energy-conserving effect and comfort level.
The temperature measuring device is responsible for measuring the ambient temperature and sending the ambient temperature to the control system, the humidity measuring device is responsible for measuring the ambient humidity and sending the ambient humidity to the control system, the wind speed measuring device is responsible for measuring the ambient wind speed and sending the ambient wind speed to the control system, so that the ambient temperature, the ambient humidity and the ambient wind speed on site can be obtained, a foundation is laid for later stage determination of the sensible temperature through determination of the ambient condition, the control system predicts the ambient temperature, the ambient humidity and the ambient wind speed through the sensible temperature prediction model to obtain the initial sensible temperature, the sensible temperature compensation coefficient is obtained according to the type of the insulating clothes, the sensible temperature is compensated to obtain the sensible temperature, the sensible temperature of an operator at the moment can be determined more accurately, different powers are output through the electric energy output system according to different sensible temperatures on the basis of the ambient condition and the condition of the insulating clothes, the wind speed of the cold and hot air supply device is changed, the comfort of the operator is greatly improved while energy is saved, and the adjustment of the power is more stable, and the wind speed is changed through setting of the temperature threshold value, so that the output is more stable.
The further technical scheme is that the ambient temperature measured by the temperature measuring device is sent to a control system when the ambient temperature variation is greater than a fourth threshold.
Through the setting of the fourth threshold value, after the variation of the ambient temperature is larger than a certain value, the variation is input into the control system to predict the body sensing temperature, so that the prediction of the body sensing temperature is not frequently started, and the efficiency and the accuracy of model prediction are further improved.
The further technical scheme is that the environment humidity measured by the humidity measuring device is sent to a control system when the variation of the environment humidity is greater than a fifth threshold.
Through the setting of the fifth threshold value, after the variable quantity of the environment humidity is larger than a certain value, the variable quantity is input into the control system to predict the body sensing temperature, so that the prediction of the body sensing temperature is not frequently started, and the efficiency and the accuracy of model prediction are further improved.
The wind speed measuring device measures the ambient wind speed, and when the ambient wind speed variation is larger than a sixth threshold value, the ambient wind speed is sent to a control system.
Through the setting of the sixth threshold value, after the variation of the ambient wind speed is larger than a certain value, the variation is input into the control system to predict the body sensing temperature, so that the prediction of the body sensing temperature is not frequently started, and the efficiency and the accuracy of model prediction are further improved.
The further technical scheme is that after the control system obtains the environment temperature, the environment humidity and the environment wind speed, the environment temperature, the environment humidity and the environment wind speed need to be screened, and abnormal environment temperature, abnormal environment humidity and abnormal environment wind speed are eliminated.
By eliminating the data of the abnormal environment temperature, the abnormal environment humidity and the abnormal environment wind speed, the overall data can be more credible, and finally the final result can be more accurate.
The further technical scheme is that a prediction model of a WOA-LSSVM-LSTM algorithm is adopted by the body-sensing temperature prediction model.
By combining the prediction models, the advantages of strong generalization capability of the WOA-LSSVM algorithm and the advantage of processing time sequence data by the LSTM algorithm can be fully combined, so that the final prediction precision can be more accurate, and the electric energy output control is more accurate and reliable.
The technical scheme is that the prediction model comprises the following specific steps:
s11, sending the environment temperature, the environment humidity and the environment wind speed into a prediction model based on a WOA-LSSVM algorithm to obtain the body sensing temperature of the WOA-LSSVM at the moment;
s12, sending the environment temperature, the environment humidity and the environment wind speed into a prediction model based on an LSTM algorithm to obtain the LSTM sensible temperature at the moment;
and S13, obtaining an initial sensible temperature based on the WOA-LSSVM sensible temperature and the LSTM sensible temperature.
The further technical scheme is that the specific formula of the initial sensible temperature is as follows:
wherein t is the initial sensible temperature,t 1 、t 2 respectively WOA-LSSVM sensible temperature and LSTM sensible temperature,a 1 、a 2 respectively a WOA-LSSVM body-sensing temperature weight and an LSTM body-sensing temperature weight.
The further technical proposal is thata 1 Anda 2 optimization determination is carried out by adopting a COA-based algorithm, and the method comprises the following specific steps:
s21, a training set based on the environment temperature, the environment humidity, the environment wind speed and the initial sensible temperature is constructed, wherein the environment temperature, the environment humidity and the environment wind speed are input parameters, and the initial sensible temperature is an output parameter.
S22, inputting the training set into a prediction model based on a WOA-LSSVM-LSTM algorithm, and optimizing the weight of the WOA-LSSVM sensible temperature and the weight of the LSTM sensible temperature by adopting a COA algorithm to obtain the optimal weight at the moment;
s23, determining whether the initial somatosensory temperature obtained by the prediction model meets the error requirement, if not, returning to S22 to continue optimizing until the error meets the requirement, and outputting the optimized prediction model.
The weight of the prediction model is optimized by adopting the COA algorithm, so that the final prediction precision is further improved, the weights of different algorithms can be optimized, and the weight optimization speed is further improved.
The further technical scheme is that the formula of the body sensing temperature is as follows:
wherein t is z Is a bodyThe temperature is sensed, and the temperature is sensed,kand t is the initial sensible temperature.
By adopting the somatosensory temperature compensation coefficient, the final temperature can reflect the actual situation more on the premise of not increasing the calculation workload, the weight can be set for the parameters in a manual setting mode or a built-in mode in the actual operation, and the foundation is laid for the control of outputting electric energy according to the actual somatosensory temperature in the later period.
Drawings
The above and other features and advantages of the present invention will become more apparent by describing in detail exemplary embodiments thereof with reference to the attached drawings.
Fig. 1 is a configuration diagram of a power supply system of a cold and hot air blower for power distribution work according to embodiment 1.
Fig. 2 is a flowchart showing specific steps of the sensible temperature prediction model in embodiment 1.
Fig. 3 is a flowchart of specific steps of optimizing the weights based on the COA algorithm in embodiment 1.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The same reference numerals in the drawings denote the same or similar structures, and thus their detailed description will be omitted.
The terms "a," "an," "the," "said" are used to indicate the presence of one or more elements/components/etc.; the terms "comprising" and "having" are intended to be inclusive and mean that there may be additional elements/components/etc. other than the listed elements/components/etc.
In the live working of the ultra-high voltage transmission line, the space electric field is high, the working distance is large, and an operator wears a shielding clothes to enter a high potential and adopts an equipotential method to overhaul and maintain, so that the live working mode is safe and convenient. However, in live-line work of a distribution line, because the voltage of a distribution network is low, the space distance between three-phase wires is small, and distribution facilities are dense, the working range is narrow, and electric facilities with different potentials can be easily touched within the range of human motion, the key point of safety protection is that a live body for isolating or shielding different potentials in work and an insulating protective tool should be worn by an operator. At present, insulation wearing appliances for live working of power distribution networks in China mainly comprise insulation gloves, insulation boots and insulation clothes for whole-body insulation protection, safety protection is provided for human bodies, however, when power distribution overhauling operation is carried out, if the insulation clothes for whole-body insulation protection are worn, dangerous situations such as heatstroke and the like can be caused due to heat dissipation and environment sweltering, the environment is complicated in power distribution operation, and the danger degree is further deepened.
Chinese utility model patent grant publication No. CN215808982U discloses a cold and hot air supply arrangement is used in distribution operation, including air collecting box, supporting leg, tuber pipe, footboard platform, exhaust vent, operating panel, ventilation window, solar panel, four supporting legs that the symmetric distribution was installed to air collecting box for four sides rectangle structure and bottom, the supporting leg mid-mounting has the tuber pipe of bolt fastening and is connected with the footboard platform of bottom, open at footboard platform top middle part has the exhaust vent of equidistance symmetric distribution, air collecting box right-hand member face mid-mounting has embedded operating panel, open the rectangle structure ventilation window that has the symmetric distribution in the positive terminal surface middle part of air collecting box, air collecting box top mid-mounting has the rectangle structure solar panel of bolt fastening to increase cold and hot integral type regulatory function through the reasonable design and be convenient for in summer and winter electric power construction, reduce simultaneously that the exhaust vent that the sole caused blocks up and be convenient for the clearance and avoid the wind gap straight blow to cause the staff discomfort, but the complicated many overhaul areas of site operation environment are inconvenient to get the electricity, and do not have energy-saving measure, can not carry out the regulation of cold and hot wind speed according to the actual air supply demand, can also further promote the staff's comfort level when energy-saving.
Based on the technical problems, a power supply system of the cold and hot air supply device for power distribution operation needs to be designed.
Example 1
In order to solve the above technical problem, as shown in fig. 1, a first aspect of the present invention provides a power supply system for a cold and hot air blower for power distribution operation, comprising:
the system comprises a temperature measuring device, a humidity measuring device, a wind speed measuring device, a storage battery, a photovoltaic power generation device, an electric energy output system and a control system;
the temperature measuring device is responsible for measuring the ambient temperature and sending the ambient temperature to the control system;
for example, the temperature measuring device measures the temperature using a sensor that converts a temperature signal into an electric signal based on a thermocouple, a thermistor, or the like.
The humidity measuring device is used for measuring the ambient humidity and sending the ambient humidity to the control system;
for example, the humidity measuring device measures humidity using a sensor that converts a humidity signal into an electrical signal based on a lithium chloride humidity sensor, a humidity sensor, or the like.
The wind speed measuring device is used for measuring the ambient wind speed and sending the ambient wind speed to the control system;
for example, the wind speed measuring device is arranged on one side of the bucket of the arm car.
The control system predicts to obtain initial sensible temperature through a sensible temperature prediction model according to the environment temperature, the environment humidity and the environment wind speed, obtains a sensible temperature compensation coefficient according to the type of the insulating garment, compensates the sensible temperature to obtain sensible temperature, outputs first power to the cold and hot air supply device through the electric energy output system when the sensible temperature is larger than a first threshold value, outputs second power to the cold and hot air supply device through the electric energy output system when the sensible temperature is larger than a second threshold value, and outputs third power to the cold and hot air supply device through the electric energy output system when the sensible temperature is smaller than a third threshold value;
the storage battery is used for storing the charging electric energy of the external power supply and storing the electric energy of the photovoltaic power generation device;
the photovoltaic power generation device is responsible for generating power and storing electric energy into a storage battery;
and the electric energy output system is responsible for outputting the electric energy of the storage battery through a control instruction of the control system.
At first charge the battery through external power source to with photovoltaic power generation device's electric energy save, through control system basis ambient temperature, ambient humidity, ambient wind speed are felt the temperature through body and are obtained initial body through body temperature prediction model prediction, and obtain body according to insulating clothing type and feel the temperature compensation coefficient, it is right body temperature is felt the temperature and compensate, obtains body temperature, works as body temperature is greater than when first threshold value, through electric energy output system exports first power to cold and hot air supply unit, works as when body temperature is greater than the second threshold value, through electric energy output system exports the second power to cold and hot air supply unit, works as when body temperature is less than the third threshold value, through electric energy output system exports the third power to cold and hot air supply unit to the regulation that the realization carries out the wind speed according to the cold and hot air supply demand of reality, can also further promote staff's comfort level when energy-conserving, very big promotion holistic energy-conserving effect and comfort level.
For example, if the first threshold is 30 degrees, the second threshold is 37 degrees, and the third threshold is 5 degrees, if the sensible temperature at this time is 28 degrees, the worker feels comfortable, power output is not performed, further, electric energy consumption is not required, the cold and hot air supply device is not turned on, if the sensible temperature at this time is 31 degrees, an output power of 100W is adopted at this time, the cold and hot air device at this time is pushed to be turned on, the working environment of the worker is optimized, if the sensible temperature at this time is 38 degrees, an output power of 200W of the second power is adopted at this time, so that an input power of the cold and hot air device at this time is increased, a wind speed is increased, optimization speed of the working environment of the worker is further accelerated, when the sensible temperature at this time is less than 10 degrees, the worker feels cold, the cold air supply device can output hot air by outputting power of 150W, and the working environment of the worker is optimized.
The temperature measuring device is responsible for measuring the ambient temperature and sending the ambient temperature to the control system, the humidity measuring device is responsible for measuring the ambient humidity and sending the ambient humidity to the control system, the wind speed measuring device is responsible for measuring the ambient wind speed and sending the ambient wind speed to the control system, so that the ambient temperature, the ambient humidity and the ambient wind speed on site can be obtained, the determination of the ambient condition is performed, a foundation is laid for determining the body sensing temperature through the ambient condition in the later period, the control system is based on the ambient temperature, the ambient humidity and the ambient wind speed, the initial body sensing temperature is obtained through prediction of a body sensing temperature prediction model, a body sensing temperature compensation coefficient is obtained according to the type of the insulating clothing, the body sensing temperature is compensated, the body sensing temperature is obtained, the body sensing temperature of an operator at the moment is determined more accurately, the environment condition and the condition of the insulating clothing are taken as the basis, different powers are output through the electric energy output system according to the difference of the body sensing temperature, the wind speed of the cold and hot air supply device is changed, the comfort degree of the operator is greatly improved while the energy conservation is realized, the adjustment of the power is made to be more stable, and the wind speed of the output is made to be more stable.
In another possible embodiment, the ambient temperature measured by the temperature measuring device is sent to a control system when the ambient temperature variation is greater than a fourth threshold.
Through the setting of the fourth threshold value, after the variation of the ambient temperature is larger than a certain value, the variation is input into the control system to predict the body sensing temperature, so that the prediction of the body sensing temperature is not frequently started, and the efficiency and the accuracy of model prediction are further improved.
For example, if the fourth threshold is 1 degree celsius, if the amount of change in the ambient temperature at that time does not exceed 1 degree celsius, the ambient temperature is not transmitted.
In another possible embodiment, the ambient humidity measured by the humidity measuring device is sent to a control system when the ambient humidity variation is greater than a fifth threshold.
Through the setting of the fifth threshold value, after the variable quantity of the environment humidity is larger than a certain value, the variable quantity is input into the control system to predict the body sensing temperature, so that the prediction of the body sensing temperature is not frequently started, and the efficiency and the accuracy of model prediction are further improved.
For example, if the fifth threshold is 1%, the ambient humidity is sent again after the variation of the ambient temperature is greater than 1%.
In another possible embodiment, the ambient wind speed measured by the wind speed measuring device is sent to a control system when the ambient wind speed variation is greater than a sixth threshold.
For example, if the initial ambient wind speed is 20m/s, the ambient wind speed measured at the next time is 20.5m/s, and the set sixth threshold value is 1m/s, the ambient wind speed is not sent to the control system.
Through setting of the sixth threshold value, after the variable quantity of the ambient wind speed is larger than a certain value, the variable quantity is input into the control system to predict the sensible temperature, so that the prediction of the sensible temperature is not frequently started, and the efficiency and accuracy of model prediction are further improved.
In another possible embodiment, after obtaining the ambient temperature, the ambient humidity, and the ambient wind speed, the control system needs to screen the ambient temperature, the ambient humidity, and the ambient wind speed, and remove an abnormal ambient temperature, an abnormal ambient humidity, and an abnormal ambient wind speed.
For example, if the input temperature is changed from 15 degrees to 30 degrees in one minute, the ambient temperature of 30 degrees is determined as an abnormal ambient temperature and needs to be rejected, if the input humidity is changed from 15% to 50% in one minute, the ambient humidity of 50% is determined as an abnormal ambient humidity and needs to be rejected, and if the ambient wind speed is changed from 1m/s to 20m/s in one minute, the ambient wind speed of 20m/s is determined as an abnormal ambient wind speed and needs to be rejected.
By eliminating the data of the abnormal environment temperature, the abnormal environment humidity and the abnormal environment wind speed, the overall data can be more credible, and finally the final result can be more accurate.
In another possible embodiment, the body-sensing temperature prediction model adopts a prediction model of a WOA-LSSVM-LSTM algorithm.
Through the combined prediction model, the advantages of strong generalization capability of the WOA-LSSVM algorithm and the advantage of processing time sequence data by the LSTM algorithm can be fully combined, so that the final prediction precision can be more accurate, and the electric energy output control is more accurate and reliable.
In another possible embodiment, the prediction model includes the following specific steps:
s11, sending the environment temperature, the environment humidity and the environment wind speed into a prediction model based on a WOA-LSSVM algorithm to obtain the WOA-LSSVM sensible temperature at the moment;
s12, sending the environment temperature, the environment humidity and the environment wind speed into a prediction model based on an LSTM algorithm to obtain the LSTM sensible temperature at the moment;
s13, obtaining an initial sensible temperature based on the WOA-LSSVM sensible temperature and the LSTM sensible temperature.
In another possible embodiment, the specific formula of the initial sensible temperature is as follows:
wherein t is the initial sensible temperature,t 1 、t 2 respectively WOA-LSSVM sensible temperature and LSTM sensible temperature,a 1 、a 2 respectively a WOA-LSSVM body-sensing temperature weight and an LSTM body-sensing temperature weight.
For example, ift 1 、t 2 20 degrees and 21 degrees respectively, and weighta 1 、a 2 When the temperature is 0.3 and 0.7, respectively, the final initial sensible temperature is 20.7 degrees.
In another possible embodiment, thea 1 Anda 2 the optimization determination is carried out by adopting a COA-based algorithm, and the method comprises the following specific steps of:
s21, constructing a training set based on the environment temperature, the environment humidity, the environment wind speed and the initial somatosensory temperature, wherein the environment temperature, the environment humidity and the environment wind speed are input parameters, and the initial somatosensory temperature is an output parameter.
S22, inputting the training set into a prediction model based on a WOA-LSSVM-LSTM algorithm, and optimizing the weight of the WOA-LSSVM body-sensing temperature and the weight of the LSTM body-sensing temperature by adopting a COA algorithm to obtain the optimal weight at the moment;
and S23, determining whether the initial body sensing temperature obtained by the prediction model meets the error requirement, if not, returning to S22 to continue optimizing until the error meets the requirement, and outputting the optimized prediction model.
The weight of the prediction model is optimized by adopting the COA algorithm, so that the final prediction precision is further improved, the weights of different algorithms can be optimized, and the weight optimization speed is further improved.
In another possible embodiment, the sensible temperature formula is:
wherein t is z The temperature is sensed by the human body,kis a sensible temperature compensation coefficient, and t is an initial sensible temperature.
For example, if k is 1.2 and t is 21 degrees, then t is z At 25.4 degrees.
By adopting the somatosensory temperature compensation coefficient, the final temperature can reflect the actual situation more on the premise of not increasing the calculation workload, the weight can be set for the parameters in a manual setting mode or a built-in mode in the actual operation, and the foundation is laid for the control of outputting electric energy according to the actual somatosensory temperature in the later period.
In embodiments of the present invention, the term "plurality" means two or more unless explicitly defined otherwise. The terms "mounted," "connected," "secured," and the like are to be construed broadly, and for example, "connected" may be a fixed connection, a removable connection, or an integral connection. Specific meanings of the above terms in the embodiments of the present invention may be understood by those of ordinary skill in the art according to specific situations.
In the description of the embodiments of the present invention, it should be understood that the terms "upper", "lower", and the like indicate orientations or positional relationships based on orientations or positional relationships shown in the drawings, which are merely for convenience in describing the embodiments of the present invention and simplifying the description, but do not indicate or imply that the referred devices or units must have a specific direction, be configured and operated in a specific orientation, and thus, should not be construed as limiting the embodiments of the present invention.
In the description herein, the appearances of the phrases "one embodiment," "a preferred embodiment," and similar language, throughout this specification may, but do not necessarily, all refer to the same embodiment or example. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes may be made to the present embodiment by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the embodiments of the present invention should be included in the protection scope of the embodiments of the present invention.
Claims (6)
1. The utility model provides a distribution operation is with cold and hot air supply arrangement's power supply system which characterized in that specifically includes:
the system comprises a temperature measuring device, a humidity measuring device, a wind speed measuring device, a storage battery, a photovoltaic power generation device, an electric energy output system and a control system;
the temperature measuring device is responsible for measuring the ambient temperature and sending the ambient temperature to the control system;
the humidity measuring device is used for measuring the ambient humidity and sending the ambient humidity to the control system;
the wind speed measuring device is used for measuring the ambient wind speed and sending the ambient wind speed to the control system;
the control system obtains initial sensible temperature through a sensible temperature prediction model according to the environment temperature, the environment humidity and the environment wind speed;
the body-sensing temperature prediction model adopts a WOA-LSSVM-LSTM algorithm prediction model; the prediction model comprises the following specific steps:
s11, sending the environment temperature, the environment humidity and the environment wind speed into a prediction model based on a WOA-LSSVM algorithm to obtain the body sensing temperature of the WOA-LSSVM at the moment;
s12, sending the environment temperature, the environment humidity and the environment wind speed into a prediction model based on an LSTM algorithm to obtain the LSTM sensible temperature at the moment;
s13, obtaining an initial body sensing temperature based on the WOA-LSSVM body sensing temperature and the LSTM body sensing temperature;
the specific formula of the initial body sensing temperature is as follows:
wherein t is the initial sensible temperature,t 1 、t 2 respectively WOA-LSSVM sensible temperature and LSTM sensible temperature,a 1 、a 2 respectively obtaining a WOA-LSSVM temperature-sensed weight and an LSTM temperature-sensed weight;
a body sensing temperature compensation coefficient is obtained according to the type of the insulating suit, and the initial body sensing temperature is compensated to obtain body sensing temperature;
the body sensing temperature formula is as follows:
wherein t is z The temperature is sensed by the human body,ka temperature-sensing compensation coefficient is obtained, and t is an initial temperature-sensing coefficient;
when the somatosensory temperature is greater than a first threshold value, outputting first power to the cold and hot air supply device through the electric energy output system, when the somatosensory temperature is greater than a second threshold value, outputting second power to the cold and hot air supply device through the electric energy output system, and when the somatosensory temperature is less than a third threshold value, outputting third power to the cold and hot air supply device through the electric energy output system;
the storage battery is used for storing the charging electric energy of an external power supply and storing the electric energy of the photovoltaic power generation device;
the photovoltaic power generation device is responsible for generating power and storing electric energy into a storage battery;
and the electric energy output system is responsible for outputting the electric energy of the storage battery through the control instruction of the control system.
2. The power supply system according to claim 1, wherein the ambient temperature measured by the temperature measuring device is transmitted to a control system when the ambient temperature variation is larger than a fourth threshold.
3. The power supply system according to claim 1, wherein the ambient humidity measured by the humidity measuring device is sent to a control system when the ambient humidity variation is greater than a fifth threshold.
4. The power supply system of claim 1, wherein the ambient wind speed measured by the wind speed measuring device is transmitted to a control system when the ambient wind speed variation is greater than a sixth threshold.
5. The power supply system according to claim 1, wherein the control system is configured to screen the ambient temperature, the ambient humidity, and the ambient wind speed and reject an abnormal ambient temperature, an abnormal ambient humidity, and an abnormal ambient wind speed after obtaining the ambient temperature, the ambient humidity, and the ambient wind speed.
6. The power supply system of claim 1 wherein said power supply system is characterized bya 1 Anda 2 optimization determination is carried out by adopting a COA-based algorithm, and the method comprises the following specific steps:
s21, constructing a training set based on the environment temperature, the environment humidity, the environment wind speed and the initial body sensing temperature, wherein the environment temperature, the environment humidity and the environment wind speed are input parameters, and the initial body sensing temperature is an output parameter;
s22, inputting the training set into a prediction model based on a WOA-LSSVM-LSTM algorithm, and optimizing the weight of the WOA-LSSVM sensible temperature and the weight of the LSTM sensible temperature by adopting a COA algorithm to obtain the optimal weight at the moment;
and S23, determining whether the initial body sensing temperature obtained by the prediction model meets the error requirement, if not, returning to S22 to continue optimizing until the error meets the requirement, and outputting the optimized prediction model.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN203046811U (en) * | 2012-12-28 | 2013-07-10 | 劲达技术(河源)有限公司 | Vehicle-mounted solar air conditioning unit |
| CN103363628A (en) * | 2012-04-10 | 2013-10-23 | 甘肃省电力公司金昌供电公司 | Portable intelligent power distribution tube well maintenance ventilation device |
| CN203368112U (en) * | 2013-05-23 | 2013-12-25 | 东南大学 | Accumulator wireless charging minimal access device |
| CN111665879A (en) * | 2020-05-26 | 2020-09-15 | 深圳市真元天成科技有限公司 | Indoor somatosensory temperature control device and control system and intelligent mattress |
| AU2020104000A4 (en) * | 2020-12-10 | 2021-02-18 | Guangxi University | Short-term Load Forecasting Method Based on TCN and IPSO-LSSVM Combined Model |
| CN214896355U (en) * | 2021-06-30 | 2021-11-26 | 合肥移瑞通信技术有限公司 | Environment detection adjusting device |
-
2022
- 2022-10-13 CN CN202211250769.XA patent/CN115325674B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103363628A (en) * | 2012-04-10 | 2013-10-23 | 甘肃省电力公司金昌供电公司 | Portable intelligent power distribution tube well maintenance ventilation device |
| CN203046811U (en) * | 2012-12-28 | 2013-07-10 | 劲达技术(河源)有限公司 | Vehicle-mounted solar air conditioning unit |
| CN203368112U (en) * | 2013-05-23 | 2013-12-25 | 东南大学 | Accumulator wireless charging minimal access device |
| CN111665879A (en) * | 2020-05-26 | 2020-09-15 | 深圳市真元天成科技有限公司 | Indoor somatosensory temperature control device and control system and intelligent mattress |
| AU2020104000A4 (en) * | 2020-12-10 | 2021-02-18 | Guangxi University | Short-term Load Forecasting Method Based on TCN and IPSO-LSSVM Combined Model |
| CN214896355U (en) * | 2021-06-30 | 2021-11-26 | 合肥移瑞通信技术有限公司 | Environment detection adjusting device |
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