Adaptive control method, device, equipment and medium for equipment power consumption

Abstract

The present application discloses an adaptive control method, device, electronic device and readable storage medium for equipment power consumption. The method includes generating an energy-saving index system based on the power consumption characteristics of the public area and guest room area of ​​the homestay and the power consumption data of each power-consuming device in advance, and constructing a homestay power consumption model based on the energy-saving index system, the homestay historical power consumption data and the corresponding meteorological data; inputting the current meteorological data of the homestay to be controlled and the historical power consumption data of each target power-consuming device into the homestay power consumption model to obtain the current energy-saving level of the homestay to be controlled; determining the power regulation information of each target power-consuming device according to the current energy-saving level and the power consumption data of each target power-consuming device at the current moment, and controlling the power consumption of the corresponding target power-consuming device based on the power regulation information, so as to realize accurate control of the power consumption of each power-consuming device on the basis of energy saving.

Description

Technical Field

[0001] The present application relates to the field of computer technology, and in particular to a method, device, electronic device and readable storage medium for adaptively controlling power consumption of a device. Background Art

[0002] Building energy consumption is an indispensable type of energy consumption, accounting for about 27% of the total energy consumption. The homestay industry is a rapidly developing emerging green industry, and its investment scale is gradually increasing. The types of homestays are developing from accommodation and family management modes to leisure and vacation modes, and are developing towards clustering and hotelization. At present, some boutique homestays with large areas and frequent personnel flow have the characteristics of high standby load and poor power consumption management. Therefore, it is necessary to choose a suitable load management strategy to save energy, reduce carbon emissions of homestays, effectively reduce operating costs and achieve the goal of maximum profit.

[0003] When determining the power consumption of each electrical equipment in a homestay, the relevant technology is based on the energy efficiency evaluation results of meteorological factors and building structures. Since the energy efficiency evaluation results do not take into account the actual situation of the entire power consumption scenario and contain a large number of subjective factors, it is impossible to accurately control the power consumption of each electrical equipment on the basis of saving energy.

[0004] In view of this, how to achieve accurate control of the power consumption of each electrical equipment on the basis of energy saving is a technical problem that technical personnel in the relevant field need to solve. Summary of the invention

[0005] The present application provides a method, device, electronic device and readable storage medium for adaptively controlling the power consumption of equipment, which can achieve precise control of the power consumption of each electrical equipment on the basis of energy saving.

[0006] To solve the above technical problems, the embodiments of the present invention provide the following technical solutions:

[0007] An embodiment of the present invention provides, on one hand, a method for adaptively controlling power consumption of a device, comprising:

[0008] Generate an energy-saving index system in advance based on the electricity consumption characteristics of the public areas and guest room areas of the homestay and the electricity consumption data of each electrical device, and build a homestay electricity consumption model based on the energy-saving index system, the homestay historical electricity consumption data and the corresponding meteorological data; the energy-saving index system includes public lighting energy-saving index, central air-conditioning power saving rate index, vacant guest room energy-saving space index and intelligent load optimization space index;

[0009] Input the current meteorological data of the homestay to be controlled and the historical power consumption data of each target power-consuming device into the homestay power consumption model to obtain the current energy-saving level of the homestay to be controlled;

[0010] According to the current energy saving level and the power consumption data of each target power-consuming device at the current moment, power regulation information of each target power-consuming device is determined, so as to control the power consumption of the corresponding target power-consuming device based on the power regulation information.

[0011] Optionally, generating an energy-saving index system based on the electricity consumption characteristics of the public areas and guest room areas of the homestay and the electricity consumption data of each electrical device, and constructing a homestay electricity consumption model based on the energy-saving index system, the homestay historical electricity consumption data and the corresponding meteorological data, including:

[0012] Obtaining the homestay operation data and corresponding layout scenario data of multiple homestays within a preset time period, and generating a homestay electricity consumption scenario model through a clustering method;

[0013] According to the electricity consumption characteristics of the public areas and guest room areas of the B&B, an evaluation index system for the energy saving level of the B&B is constructed, and the values ​​of various evaluation indicators of each B&B under the B&B electricity consumption scenario model are calculated to obtain an evaluation decision matrix;

[0014] Determine a weighting model for evaluating the power supply service level based on the deviation degree, so as to determine the weight of each indicator in the energy-saving level evaluation index system of the homestay;

[0015] Based on the evaluation decision matrix and the weighting model, the energy-saving level score of each homestay is calculated, and according to the fuzzy membership function, an energy-saving grade membership matrix is ​​generated to determine the energy-saving grade of the homestay according to the maximum membership principle.

[0016] Optionally, the calculation of various evaluation index values ​​of each homestay under the homestay electricity usage scenario model includes:

[0017] Calling the public lighting electricity consumption calculation formula to calculate the public lighting electricity consumption information of each homestay under the homestay electricity consumption scenario model;

[0018] Calling the air-conditioning power consumption calculation formula to calculate the air-conditioning power consumption information of each homestay under the homestay power consumption scenario model;

[0019] Calling the vacant guest room electricity consumption calculation formula to calculate the vacant guest room electricity consumption information of each homestay under the homestay electricity consumption scenario model;

[0020] The guest room load power consumption calculation formula is called to calculate the guest room load power consumption information of each homestay under the homestay power consumption scenario model;

[0021] Wherein, the public lighting calculation formula is:

[0022]

[0023] The air conditioning power consumption calculation formula is:

[0024]

[0025] The calculation formula for electricity consumption of vacant guest rooms is:

[0026]

[0027] The calculation formula for guest room load power consumption is:

[0028]

[0029] Where f1 is the public lighting electricity consumption information, α i is the recommended lighting coefficient of the i-th electrical equipment, Q is the number of lighting equipment, P 11 is the ideal power of the i-th electrical equipment, is the actual power consumption of the electrical equipment, t is the duration of time when no one is in the lighting area, T0 is the duration threshold, E is the lower limit of light intensity, n is the number of people active in the lighting area; f2 is the power consumption information of the air conditioner, Q2 is the total number of central air conditioners, is the ideal power of the i-th electrical equipment, is the actual power consumption of the i-th electrical equipment; f3 is the power consumption information of vacant guest rooms, Q3 is the total number of vacant guest rooms, is the ideal power of the i-th electrical equipment, is the actual power consumption of the i-th electrical equipment; f4 is the power consumption information of the guest room load, Q4 is the total number of occupied guest rooms, S is the number of electrical appliances participating in energy-saving control, is the ideal power of the jth appliance participating in energy-saving control of the i-th electrical equipment, is the actual electrical power of the jth electrical equipment participating in energy-saving control of the i-th electrical equipment.

[0030] Optionally, the weighting model for determining the evaluation of the power supply service level based on the deviation degree includes:

[0031] The weight calculation formula is called to calculate the weight value of each indicator in the homestay energy saving level evaluation index system, and the weight calculation formula is:

[0032]

[0033] In the formula, w m is the weight value of the mth indicator, d m is the deviation of the mth indicator, f m is the index value of the mth index, is the ideal point of the mth index, Z + =[0,0,0,0].

[0034] Optionally, determining the energy-saving level of the homestay according to the maximum membership principle includes:

[0035] Determine the fuzzy evaluation vector of the homestay to be controlled according to the weight values ​​of different indicators of the homestay to be controlled and the fuzzy relationship matrix determined by each indicator;

[0036] The one with the largest membership degree is selected from the fuzzy evaluation vectors as the energy-saving level of the homestay to be controlled.

[0037] Optionally, after determining the power adjustment information of each target power-consuming device according to the current energy-saving level and the power consumption data of each target power-consuming device at the current moment, the method further includes:

[0038] For each target power-consuming device, determine the device parameters and power consumption time according to the power regulation information of the current target power-consuming device;

[0039] Based on the device parameters and the power consumption time, the corresponding parameters and working status of the current target power-consuming device are automatically adjusted.

[0040] Another aspect of the present invention provides an adaptive control device for power consumption of a device, comprising:

[0041] A model pre-construction module is used to generate an energy-saving index system based on the electricity consumption characteristics of the public areas and guest room areas of the homestay and the electricity consumption data of each electrical device, and to construct a homestay electricity consumption model based on the energy-saving index system, the historical electricity consumption data of the homestay and the corresponding meteorological data; the energy-saving index system includes public lighting energy-saving index, central air-conditioning power saving rate index, vacant guest room energy-saving space index and intelligent load optimization space index;

[0042] An energy-saving level determination module, used to input the current meteorological data of the homestay to be controlled and the historical power consumption data of each target power-consuming device into the homestay power consumption model to obtain the current energy-saving level of the homestay to be controlled;

[0043] The power consumption control module is used to determine the power regulation information of each target power-consuming device according to the current energy-saving level and the power consumption data of each target power-consuming device at the current moment, so as to control the power consumption of the corresponding target power-consuming device based on the power regulation information.

[0044] Optionally, the model pre-construction module is further used to: obtain the homestay operation data and corresponding layout scenario data of multiple homestays within a preset time period, and generate a homestay electricity consumption scenario model through a clustering method; construct a homestay energy-saving level evaluation index system based on the electricity consumption characteristics of the homestay public areas and guest room areas, and calculate the various evaluation index values ​​of each homestay under the homestay electricity consumption scenario model to obtain an evaluation decision matrix; determine a weighting model for power supply service level evaluation based on the deviation degree, so as to determine the indicator weights of each indicator in the homestay energy-saving level evaluation index system; calculate the energy-saving level score of each homestay based on the evaluation decision matrix and the weighting model, and generate an energy-saving level membership matrix based on the fuzzy membership function, so as to determine the energy-saving level of the homestay according to the maximum membership principle.

[0045] An embodiment of the present invention further provides an electronic device, comprising a processor, wherein the processor is configured to implement the steps of the method for adaptively controlling power consumption of a device as described in any of the preceding items when executing a computer program stored in a memory.

[0046] Finally, an embodiment of the present invention further provides a readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the method for adaptively controlling power consumption of a device as described in any of the preceding items are implemented.

[0047] The advantage of the technical solution provided by the present application is that it collects the actual electricity consumption data and corresponding meteorological data of a large number of homestays in the region, constructs energy-saving level evaluation indicators that match the electricity consumption characteristics of the homestays, and comprehensively extracts the energy-saving indicators of the homestays in the public areas and guest room areas. It can characterize the energy-saving level of the homestays divided by regions and electricity consumption characteristics, and obtain a homestay electricity consumption model that can accurately describe the electricity consumption level of the homestays. The current electricity energy-saving situation is determined based on the homestay operation data, and then it can be determined whether the electricity consumption of each electrical equipment needs to be adjusted based on the energy-saving information, and the electricity consumption of each electrical equipment is controlled based on the adjustment information, so that on the basis of energy saving, the electricity consumption of each electrical equipment can be accurately controlled.

[0048] In addition, the embodiments of the present invention also provide corresponding implementation devices, electronic devices and readable storage media for the adaptive control method of equipment power consumption, which further makes the method more practical, and the devices, electronic devices and readable storage media have corresponding advantages.

[0049] It is to be understood that the foregoing general description and the following detailed description are exemplary only and are not restrictive of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] In order to more clearly illustrate the technical solutions of the embodiments of the present invention or related technologies, the following briefly introduces the drawings required for use in the embodiments or related technical descriptions. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0051] Figure 1 A schematic flow chart of a method for adaptively controlling power consumption of a device provided in an embodiment of the present invention;

[0052] Figure 2 A schematic flow chart of another method for adaptively controlling power consumption of a device provided in an embodiment of the present invention;

[0053] Figure 3 A schematic diagram of a power consumption curve before and after optimization of a PLES index in an illustrative example provided in an embodiment of the present invention;

[0054] Figure 4 A schematic diagram of a power consumption curve before and after optimization of the CACES index in an illustrative example provided in an embodiment of the present invention;

[0055] Figure 5 A schematic diagram of a power consumption curve before and after optimization of a VRES indicator in an illustrative example provided in an embodiment of the present invention;

[0056] Figure 6 A schematic diagram of a power consumption curve before and after the optimization of the ILOS indicator in an illustrative example provided in an embodiment of the present invention;

[0057] Figure 7 A structural diagram of a specific implementation of the device for adaptively controlling power consumption of equipment provided in an embodiment of the present invention;

[0058] Figure 8 A structural diagram of a specific implementation of an electronic device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0059] In order to enable those skilled in the art to better understand the scheme of the present invention, the present invention is further described in detail below in conjunction with the accompanying drawings and specific implementation methods. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0060] The terms "first", "second", "third", "fourth", etc. in the specification and claims of this application and the above drawings are used to distinguish different objects rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but may include steps or units that are not listed.

[0061] After introducing the technical solutions of the embodiments of the present invention, various non-limiting implementation methods of the present application are described in detail below.

[0062] See first Figure 1 , Figure 1 A flowchart of a method for adaptively controlling power consumption of a device provided in an embodiment of the present invention is provided. The embodiment of the present invention may include the following contents:

[0063] S101: Generate an energy-saving index system in advance based on the electricity consumption characteristics of the public areas and guest room areas of the homestay and the electricity consumption data of each electrical device, and build a homestay electricity consumption model based on the energy-saving index system, the homestay historical electricity consumption data and the corresponding meteorological data.

[0064] This application can collect required data in advance from power consumption information collection equipment, homestay information registration system and environmental data monitoring system, including but not limited to lighting power consumption, central air conditioning power consumption, ambient temperature, room temperature adjustment power consumption, public area unmanned time, room load power consumption data and power consumption time, etc. of each homestay. Based on the power consumption characteristics of the public area and guest room area of ​​the homestay and the power consumption data of each power-consuming device, as a feature that can reflect the homestay industry, an energy-saving evaluation system for the homestay as a whole is formed. The energy-saving index system of this embodiment may include public lighting energy-saving index, central air-conditioning power saving rate index, vacant guest room energy-saving space index and intelligent load optimization space index. The homestay power consumption model is used to measure the energy-saving level of homestay power consumption, that is, whether the current power consumption of each area of ​​the homestay meets the energy-saving conditions. The so-called energy-saving condition is to use the least electricity on the basis of satisfying the user experience.

[0065] S102: Input the current meteorological data of the B&B to be controlled and the historical power consumption data of each target power-consuming device into the B&B power consumption model to obtain the current energy-saving level of the B&B to be controlled.

[0066] The meteorological data in this step is the current ambient temperature. The target electrical equipment is the electrical equipment that needs to be adjusted for energy saving in the homestay, such as air conditioners, lighting and water heaters in public areas. The historical electricity consumption data can be the electricity consumption data at the previous moment or the electricity consumption data within a certain time period.

[0067] S103: Determine power regulation information of each target power-consuming device according to the current energy-saving level and the power consumption data of each target power-consuming device at the current moment, so as to control the power consumption of the corresponding target power-consuming device based on the power regulation information.

[0068] In this application, after obtaining the energy-saving level of the homestay through the previous step, if the energy-saving level is high, that is, the condition of consuming the least electricity on the basis of satisfying the customer's experience is reached, there is no need to adjust each target power-consuming device, and the corresponding power adjustment information is to maintain the current power consumption. If the energy-saving level is average, that is, the condition of consuming the least electricity on the basis of satisfying the customer's experience is not reached, the power consumption of the target power-consuming device that consumes more than the standard needs to be adjusted, and the corresponding power adjustment information is to adjust the power consumption of a certain target power-consuming device or several power-consuming devices.

[0069] Furthermore, in order to improve the degree of automation of the entire homestay, after determining the power regulation information, the equipment parameters of each target power-consuming equipment, such as the wind speed and temperature of the air conditioner, the lighting brightness and power consumption time of the lighting equipment, can be determined according to the power regulation information of the current target power-consuming equipment; based on the equipment parameters and power consumption time, the corresponding parameters and working status of the current target power-consuming equipment are automatically adjusted, and the working status includes normal working, standby state and non-working state.

[0070] In the technical solution provided by the embodiment of the present invention, actual electricity consumption data and corresponding meteorological data of a large number of homestays in the region are collected, and energy-saving level evaluation indicators matching the electricity consumption characteristics of the homestays are constructed. The energy-saving indicators of the homestays in public areas and guest room areas are comprehensively extracted, so that the energy-saving levels of the homestays divided by regions and electricity consumption characteristics can be characterized, and a homestay electricity consumption model that can accurately describe the electricity consumption level of the homestays can be obtained. The current electricity energy-saving situation can be determined based on the homestay operation data, and then it can be determined whether the electricity consumption of each electrical equipment needs to be adjusted based on the energy-saving information, and the electricity consumption of each electrical equipment can be controlled based on the adjustment information, so that the electricity consumption of each electrical equipment can be accurately controlled on the basis of energy saving.

[0071] In the above embodiment, there is no limitation on how to construct the electricity consumption model of a homestay. In this embodiment, an optional construction method of the electricity consumption model of a homestay is provided, which may include the following steps:

[0072] Obtaining the homestay operation data and corresponding layout scenario data of multiple homestays within a preset time period, and generating a homestay electricity consumption scenario model through a clustering method such as the K-Means method;

[0073] According to the electricity consumption characteristics of the public areas and guest rooms of B&Bs, an evaluation index system for the energy-saving level of B&Bs is constructed, and the values ​​of various evaluation indicators of each B&B under the B&B electricity consumption scenario model are calculated to obtain an evaluation decision matrix;

[0074] The weighting model for evaluating the power supply service level is determined based on the deviation degree, so as to determine the weights of each indicator in the evaluation index system of the energy-saving level of homestays;

[0075] Based on the evaluation decision matrix and the weighting model, the energy-saving level score of each homestay is calculated, and according to the fuzzy membership function, the energy-saving grade membership matrix is ​​generated to determine the energy-saving grade of the homestay according to the maximum membership principle.

[0076] Among them, for the public lighting energy saving index (PLES), adjusting the lighting intensity of the public area in combination with daily business needs and the number of active people in the lighting area can effectively save energy. The energy-saving space of public lighting can be defined as the public lighting electricity calculation formula. When using the public lighting energy saving index for evaluation, the public lighting electricity calculation formula can be called to calculate the public lighting electricity information of each homestay under the homestay electricity scenario model. The public lighting calculation formula can be expressed as:

[0077]

[0078] For the central air conditioning energy saving rate index (CACES), the energy saving rate of central air conditioning is determined by the amount of electricity that can be saved in public areas through a reasonable central air conditioning temperature adjustment strategy while ensuring comfort. This index is an important parameter for measuring the energy saving level of temperature control equipment in public places. The smaller the optimization space, the better the performance of the temperature control level in the public area. The energy saving ratio of central air conditioning is defined as the air conditioning electricity calculation relationship. When the central air conditioning energy saving rate index is used for evaluation, the air conditioning electricity calculation relationship can be called to calculate the air conditioning electricity information of each homestay under the homestay electricity scenario model. The air conditioning electricity calculation relationship can be expressed as:

[0079]

[0080] For the vacant guest room energy-saving space index (VRES), vacant guest rooms are different from ordinary guest rooms. There are no customers staying before check-in, so there is no need to maintain a comfortable temperature at all times before check-in, and the temperature threshold can be appropriately lowered. The control strategy currently adopted by most homestays is to always maintain a comfortable temperature to cope with customer check-in. The vacant guest room energy-saving space refers to the amount of electricity that can be saved in this regard through reasonable energy-saving control strategies. This index measures the proportion of energy that can be saved in vacant rooms in the guest room area. The smaller the index, the better the energy-saving level of the vacant guest rooms. The vacant guest room energy-saving space is defined as the vacant guest room electricity consumption calculation relationship. When using the vacant guest room energy-saving space index to evaluate the energy-saving level, the vacant guest room electricity consumption information of each homestay under the homestay electricity consumption scenario model can be calculated by calling the vacant guest room electricity consumption calculation relationship. The vacant guest room electricity consumption calculation relationship can be expressed as:

[0081]

[0082] For the intelligent load optimization space index (ILOS), the intelligent load optimization space of the guest room refers to saving the energy consumption of the adjustable load of the guest room by connecting smart appliances and reasonably adjusting the output power while ensuring the comfort of the customers. This index is an important parameter for measuring the load management level of the guest room area. The smaller the amount of electricity that can be saved, the better the load management level of the guest room. The intelligent load optimization space of the guest room can be defined as the guest room load power consumption calculation formula. When using the intelligent load optimization space index to evaluate the energy saving level, the guest room load power consumption information of each homestay under the homestay power consumption scenario model can be calculated by calling the guest room load power consumption calculation formula. The guest room load power consumption calculation formula can be expressed as:

[0083]

[0084] Where f1 is the public lighting electricity consumption information, α i is the recommended lighting coefficient of the ith electrical equipment, i.e. the ith lighting equipment, Q is the number of lighting equipment, P 11 is the ideal power of the ith electrical device, i.e. the ith lighting device, is the actual power consumption of the lighting equipment, t is the duration of time when no one is in the lighting area, T0 is the duration threshold, E is the lower limit of light intensity, and n is the number of people active in the lighting area; f2 is the power consumption information of the air conditioner, Q2 is the total number of central air conditioners, is the ideal power of the ith electrical equipment, i.e. the ith central air conditioner, is the actual power consumption of the ith electrical equipment, i.e. the ith central air conditioner; f3 is the power consumption information of vacant guest rooms, Q3 is the total number of vacant guest rooms, is the ideal power of the ith electrical equipment, i.e. the ith vacant guest room, is the actual power consumption of the ith electrical equipment, i.e. the ith vacant guest room; f4 is the guest room load power consumption information, Q4 is the total number of occupied guest rooms, S is the number of electrical appliances involved in energy-saving control, is the ideal power of the i-th electrical equipment, i.e. the i-th guest room load and the j-th appliance participating in energy-saving control, is the actual electrical power of the i-th electrical equipment, that is, the j-th load in the i-th guest room participating in energy-saving control.

[0085] After determining each indicator, by using the above content to calculate the values ​​of each evaluation indicator of each homestay in a typical scenario, an evaluation decision matrix for the energy saving level of the homestay can be formed according to the four indicators. The evaluation decision matrix can be expressed as:

[0086]

[0087] In the formula, rNM It represents the Mth index value of the Nth homestay, where N is the number of homestays to be evaluated and M is the number of indicators. In this embodiment, M=4.

[0088] After determining each indicator and its value, it is necessary to determine the weight of each indicator. In order to improve the accuracy, an objective weighting model for power supply service level evaluation can be established based on the deviation degree to objectively determine the indicator layer weight. Specifically, in the indicator score vector F composed of the homestay to be evaluated and the indicator to be evaluated, the deviation degree of the mth evaluation indicator can be defined as follows:

[0089]

[0090] In the formula, f m is the index value of the mth index, is the ideal point of the mth index, and the positive ideal solution is Z + =[0, 0, 0, 0], the index weight to be determined is W = [w1, w2, w3, w4]. The weight calculation formula can be used to calculate the weight value of each index in the homestay energy-saving level evaluation index system. The weight calculation formula can be expressed as:

[0091]

[0092] In the formula, w m is the weight value of the mth indicator, d m is the deviation of the mth indicator,

[0093] For the determination of energy-saving level, based on the fuzzy membership method, a fuzzy membership function can be constructed, and the fuzzy relationship matrix A to which the B&B belongs can be determined according to the results of each indicator. i , which is expressed as follows:

[0094]

[0095] In the formula, Indicates the index value r ip For state V j The membership degree, matrix A i The nth row in represents the single factor evaluation result of the nth indicator, which is a fuzzy subset of V. In this embodiment, the fuzzy membership function of the indicator can be a ridge function.

[0096] According to the weight values ​​of different indicators of the homestay to be controlled and the fuzzy relationship matrix determined by each indicator, the fuzzy evaluation vector of the homestay to be controlled is determined; the one with the largest membership degree is selected from the fuzzy evaluation vector as the energy-saving grade of the homestay to be controlled.

[0097] That is to say, for different indicators under i homestay, the fuzzy relationship of each indicator is calculated, and the weight W of each indicator is calculated. i, we can get the fuzzy evaluation vector B of B&B i i as follows:

[0098]

[0099] Finally, according to the maximum membership principle, select B i The one with the largest membership degree is taken as the final result of power supply service evaluation.

[0100] In order to make the technical personnel in the relevant field more clearly understand the technical solution of the present application, the present application is also combined with Figure 2 An illustrative example is given, which may include the following:

[0101] Step 1: Input the B&B operation data within a certain period of time, including but not limited to lighting power consumption, central air conditioning power consumption, ambient temperature, and room temperature adjustment power consumption.

[0102] Step 2: Based on a large number of scenarios, generate typical homestay electricity usage scenarios using the K-Means method.

[0103] Step 3: Comprehensively consider the electricity consumption characteristics of the public areas and guest room areas of B&Bs, and establish an evaluation index system for the energy-saving level of B&Bs based on the electricity consumption data of B&Bs. At the indicator level, four energy-saving indicators targeting the electricity consumption characteristics of B&Bs are proposed, including the public lighting energy-saving index (PLES), the central air-conditioning energy saving rate index (CACES), the vacant guest room energy-saving space index (VRES), and the intelligent load optimization space index (ILOS).

[0104] Step 4: Calculate the values ​​of various evaluation indicators for each B&B in typical scenarios, and form an evaluation decision matrix for the energy-saving level of the B&B based on the four indicators.

[0105] Step 5: Establish an objective weighting model for power supply service level evaluation based on the degree of deviation to objectively determine the weights of the indicator layer.

[0106] Step 6: Calculate and rank the energy-saving scores of B&Bs based on the improved TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) method.

[0107] Step 7: Calculate and form an energy-saving grade membership matrix based on the fuzzy membership function.

[0108]

[0109] In the formula, Indicates the index value r ip For state V j The membership degree, matrix Ai The nth row in represents the single factor evaluation result of the nth indicator, which is a fuzzy subset of V.

[0110] Step 8: Determine the final level V of the energy saving level of the B&B according to the maximum membership principle.

[0111] The energy-saving rating of a typical homestay in a city in Zhejiang Province is taken as an example. In this illustrative example, the input data is one day of metering data in each of the four seasons. A homestay is used as the data input, and the energy-saving rating of the homestay is determined by applying the above technical solution. The scores of various indicators of the homestay in different scenarios are shown in Table 1:

[0112] Table 1 Scores of various indicators of homestays in typical scenarios

[0113]

[0114] Based on the data in Table 1, it can be seen that the B&B performs well in the PLSE, PCPOS, and GRSE indicators, but there is a large room for improvement in the VRSE indicator. On the one hand, it is because the current smart lighting and air conditioning control strategies are relatively complete, so they can better meet the energy-saving needs. However, in terms of vacant guest rooms, the B&B uses the same constant temperature control method as other guest rooms. However, since there are no customers staying in vacant guest rooms, the comfort requirements can be reduced, and it only needs to be able to adjust to a comfortable temperature within a certain period of time.

[0115] Taking summer data as an example, based on Table 1, the energy-saving grade evaluation membership matrix of the homestay can be calculated as follows:

[0116]

[0117] The indicator weight W can be calculated by the weight calculation formula: W = [0.111 0.148 0.615 0.125]

[0118] Finally, the membership matrix of the homestay energy-saving grade evaluation is obtained as follows:

[0119] C=W·R=[0.234 0.209 0.557 0]

[0120] In the final membership matrix, "Medium" has the highest membership, so the energy-saving level of the B&B in summer is evaluated as "Medium", and there is still much room for improvement in energy-saving level. From the weight matrix W, we can see that the VRSE index has the largest weight, with a value of 0.557. According to the weight determination principle of the offset degree, the B&B performs poorly on this indicator, which has a greater impact on the overall energy-saving level of the B&B.

[0121] Furthermore, this embodiment uses 10 days with large temperature changes to evaluate the energy saving level of the homestay, and determines the sensitivity of each link of the homestay energy saving level evaluation to temperature. The calculation results are shown in Table 2 below:

[0122] Table 2 Energy saving level distribution table of a typical scenario of a homestay

[0123] index Scenario 1 Scenario 2 Scene 3 Scene 4 Temperature 15.7 36.6 20.7 1.6 PLSE excellent excellent excellent good PCPOS excellent excellent excellent good VRSE middle middle middle middle GRSE good excellent good excellent Energy saving level good good middle middle

[0124] As can be seen from Table 2, the energy-saving level of the B&B is relatively stable at different times. The PLSE index is basically excellent, and is good at the lower temperature T4 time; the PCPOS index is good, and is only good at T4 time; the VRSE index is poor, and the performance of T1-T4 is medium, and there is a large room for optimization; the GRSE index performs relatively well at high and low temperatures, which shows that the B&B has a high level of management of the temperature-sensitive load of the guest room, and the management level of other loads needs to be improved. Further, combined with Figures 3 to 6 It can be seen that by comparing the power consumption before and after the optimization of each indicator, it can be seen that based on the energy-saving level of this embodiment, the power consumption of the homestay can be better controlled to achieve energy-saving and emission reduction effects.

[0125] As can be seen from the above, this embodiment first collects the actual electricity consumption data and corresponding meteorological data of a large number of homestays in the region, and proposes four energy-saving level evaluation indicators that match the electricity consumption characteristics of the homestay. On the basis of comprehensively considering the actual operation characteristics of the homestay, an objective weighting method based on deviation is proposed to objectively calculate the weight of each energy-saving indicator, making the weighting method more reasonable and accurate. Finally, a grading method based on fuzzy theory is used to output the energy-saving level evaluation grade of the homestay according to the scores of various indicators of the homestay. This can not only fully and objectively reflect the energy-saving level of the homestay, but also make the assessment of the energy-saving level of the homestay more intuitive.

[0126] It should be noted that there is no strict order of execution between the steps in this application. As long as they comply with the logical order, these steps can be executed simultaneously or in a certain preset order. Figure 1-Figure 2 This is just a schematic and does not mean that this is the only execution order.

[0127] The embodiment of the present invention also provides a corresponding device for the adaptive control method of the power consumption of the device, which further makes the method more practical. Among them, the device can be described from the perspective of functional modules and hardware. The adaptive control device for the power consumption of the device provided by the embodiment of the present invention is introduced below. The adaptive control device for the power consumption of the device described below and the adaptive control method for the power consumption of the device described above can be referred to each other.

[0128] From the perspective of functional modules, see Figure 7 , Figure 7 A structural diagram of a device for adaptively controlling power consumption of equipment provided in an embodiment of the present invention in a specific implementation manner, the device may include:

[0129] The model pre-construction module 701 is used to generate an energy-saving index system based on the power consumption characteristics of the public areas and guest room areas of the homestay and the power consumption data of each power-consuming device, and to construct a homestay power consumption model based on the energy-saving index system, the homestay historical power consumption data and the corresponding meteorological data; the energy-saving index system includes public lighting energy-saving index, central air-conditioning power saving rate index, vacant guest room energy-saving space index and intelligent load optimization space index;

[0130] The energy-saving level determination module 702 is used to input the current meteorological data of the homestay to be controlled and the historical power consumption data of each target power-consuming device into the homestay power consumption model to obtain the current energy-saving level of the homestay to be controlled;

[0131] The power consumption control module 703 is used to determine the power regulation information of each target power-consuming device according to the current energy-saving level and the power consumption data of each target power-consuming device at the current moment, so as to control the power consumption of the corresponding target power-consuming device based on the power regulation information.

[0132] Optionally, in some implementations of this embodiment, the above-mentioned model pre-construction module 701 may also be used for:

[0133] Obtaining the homestay operation data and corresponding layout scenario data of multiple homestays within a preset time period, and generating a homestay electricity consumption scenario model through a clustering method;

[0134] According to the electricity consumption characteristics of the public areas and guest rooms of B&Bs, an evaluation index system for the energy-saving level of B&Bs is constructed, and the values ​​of various evaluation indicators of each B&B under the B&B electricity consumption scenario model are calculated to obtain an evaluation decision matrix;

[0135] The weighting model for evaluating the power supply service level is determined based on the deviation degree, so as to determine the weights of each indicator in the evaluation index system of the energy-saving level of homestays;

[0136] Based on the evaluation decision matrix and the weighting model, the energy-saving level score of each homestay is calculated, and according to the fuzzy membership function, the energy-saving grade membership matrix is ​​generated to determine the energy-saving grade of the homestay according to the maximum membership principle.

[0137] As an optional implementation of the above embodiment, the above model pre-construction module 701 may be further used for:

[0138] Call the public lighting electricity consumption calculation formula to calculate the public lighting electricity consumption information of each homestay under the homestay electricity consumption scenario model;

[0139] Call the air conditioning power consumption calculation formula to calculate the air conditioning power consumption information of each homestay under the homestay power consumption scenario model;

[0140] Call the calculation formula of vacant guest room electricity consumption to calculate the electricity consumption information of vacant guest rooms in each homestay under the homestay electricity consumption scenario model;

[0141] Call the guest room load power consumption calculation formula to calculate the guest room load power consumption information of each homestay under the homestay power consumption scenario model;

[0142] Among them, the calculation formula for public lighting is:

[0143]

[0144] The calculation formula for air conditioning electricity consumption is:

[0145]

[0146] The calculation formula for electricity consumption of vacant guest rooms is:

[0147]

[0148] The calculation formula for guest room load power consumption is:

[0149]

[0150] Where f1 is the public lighting electricity consumption information, α i is the recommended lighting coefficient of the i-th electrical equipment, Q is the number of lighting equipment, P 11 is the ideal power of the i-th electrical equipment, is the actual power consumption of the electrical equipment, t is the duration of time when no one is in the lighting area, T0 is the duration threshold, E is the lower limit of light intensity, n is the number of people active in the lighting area; f2 is the power consumption information of the air conditioner, Q2 is the total number of central air conditioners, is the ideal power of the i-th electrical equipment, is the actual power consumption of the i-th electrical equipment; f3 is the power consumption information of vacant guest rooms, Q3 is the total number of vacant guest rooms, is the ideal power of the i-th electrical equipment, is the actual power consumption of the i-th electrical equipment; f4 is the power consumption information of the guest room load, Q4 is the total number of occupied guest rooms, S is the number of electrical appliances participating in energy-saving control, is the ideal power of the jth appliance participating in energy-saving control of the i-th electrical equipment, is the actual electrical power of the jth electrical equipment participating in energy-saving control of the i-th electrical equipment.

[0151] As another optional implementation of the above embodiment, the above model pre-construction module 701 may be further used for:

[0152] The weight calculation formula is used to calculate the weight value of each indicator in the homestay energy saving level evaluation index system. The weight calculation formula is:

[0153]

[0154] In the formula, w m is the weight value of the mth indicator, d m is the deviation of the mth indicator, f m is the index value of the mth index, is the ideal point of the mth index, Z + =[0,0,0,0].

[0155] As some other optional implementations of the above embodiment, the above model pre-construction module 701 may be further used for:

[0156] According to the weight values ​​of different indicators of the homestay to be controlled and the fuzzy relationship matrix determined by each indicator, the fuzzy evaluation vector of the homestay to be controlled is determined;

[0157] The one with the largest membership degree is selected from the fuzzy evaluation vector as the energy-saving level of the homestay to be controlled.

[0158] Optionally, in some other implementations of the present embodiment, the above-mentioned device may also include a self-adjustment module, for example, for determining the equipment parameters and power usage time for each target power-consuming device according to the power regulation information of the current target power-consuming device; based on the equipment parameters and power usage time, automatically adjusting the corresponding parameters and working status of the current target power-consuming device.

[0159] The functions of the functional modules of the adaptive control device for equipment power consumption in the embodiment of the present invention can be specifically implemented according to the method in the above method embodiment. The specific implementation process can refer to the relevant description of the above method embodiment, which will not be repeated here.

[0160] It can be seen from the above that the embodiments of the present invention can achieve accurate control of the power consumption of each electrical device on the basis of energy saving.

[0161] The adaptive control device for equipment power consumption mentioned above is described from the perspective of functional modules. Furthermore, the present application also provides an electronic device, which is described from the perspective of hardware. Figure 8 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application in one implementation manner. Figure 8 As shown, the electronic device includes a memory 80 for storing a computer program; a processor 81 for implementing the steps of the method for adaptively controlling power consumption of a device as mentioned in any of the above embodiments when executing the computer program.

[0162] Among them, the processor 81 may include one or more processing cores, such as a 4-core processor, an 8-core processor, and the processor 81 may also be a controller, a microcontroller, a microprocessor or other data processing chip. The processor 81 may be implemented in at least one hardware form of DSP (Digital Signal Processing), FPGA (Field-Programmable Gate Array), and PLA (Programmable Logic Array). The processor 81 may also include a main processor and a coprocessor. The main processor is a processor for processing data in the awake state, also known as a CPU (Central Processing Unit); the coprocessor is a low-power processor for processing data in the standby state. In some embodiments, the processor 81 may be integrated with a GPU (Graphics Processing Unit), which is responsible for rendering and drawing the content to be displayed on the display screen. In some embodiments, the processor 81 may also include an AI (Artificial Intelligence) processor, which is used to process computing operations related to machine learning.

[0163] The memory 80 may include one or more computer-readable storage media, which may be non-transitory. The memory 80 may also include high-speed random access memory and non-volatile memory, such as one or more disk storage devices and flash storage devices. The memory 80 may be an internal storage unit of an electronic device in some embodiments, such as a hard disk of a server. The memory 80 may also be an external storage device of an electronic device in other embodiments, such as a plug-in hard disk equipped on a server, a smart memory card (Smart Media Card, SMC), a secure digital (SecureDigital, SD) card, a flash card (Flash Card), etc. Further, the memory 80 may also include both an internal storage unit of an electronic device and an external storage device. The memory 80 may not only be used to store application software and various types of data installed in the electronic device, such as: the code of the program for executing the vulnerability processing method, etc., but may also be used to temporarily store data that has been output or is to be output. In this embodiment, the memory 80 is at least used to store the following computer program 801, wherein, after the computer program is loaded and executed by the processor 81, the relevant steps of the adaptive control method for the power consumption of the device disclosed in any of the aforementioned embodiments can be implemented. In addition, the resources stored in the memory 80 may also include an operating system 802 and data 803, and the storage method may be temporary storage or permanent storage. The operating system 802 may include Windows, Unix, Linux, etc. The data 803 may include, but is not limited to, data corresponding to the adaptive control result of the power consumption of the device.

[0164] In some embodiments, the electronic device may further include a display screen 82, an input / output interface 83, a communication interface 84 or a network interface, a power supply 85 and a communication bus 86. Among them, the display screen 82 and the input / output interface 83 such as a keyboard belong to the user interface, and the optional user interface may also include a standard wired interface, a wireless interface, etc. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, and an OLED (Organic Light-Emitting Diode) touch device, etc. The display may also be appropriately referred to as a display screen or a display unit, which is used to display information processed in the electronic device and to display a visual user interface. The communication interface 84 may optionally include a wired interface and / or a wireless interface, such as a WI-FI interface, a Bluetooth interface, etc., which are generally used to establish a communication connection between the electronic device and other electronic devices. The communication bus 86 may be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 8 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0165] Those skilled in the art will understand that Figure 8 The structure shown in the figure does not constitute a limitation on the electronic device, and may include more or fewer components than shown in the figure, for example, it may also include a sensor 87 to implement various functions.

[0166] The functions of the functional modules of the electronic device described in the embodiment of the present invention can be specifically implemented according to the method in the above method embodiment. The specific implementation process can refer to the relevant description of the above method embodiment, which will not be repeated here.

[0167] It can be seen from the above that the embodiments of the present invention can achieve accurate control of the power consumption of each electrical device on the basis of energy saving.

[0168] It is understandable that if the adaptive control method of the power consumption of the equipment in the above embodiment is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium to execute all or part of the steps of the various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), electrically erasable programmable ROM, register, hard disk, multimedia card, card-type memory (such as SD or DX memory, etc.), magnetic memory, removable disk, CD-ROM, disk or optical disk, etc. Various media that can store program codes.

[0169] Based on this, an embodiment of the present invention further provides a readable storage medium storing a computer program, and when the computer program is executed by a processor, the steps of the method for adaptively controlling power consumption of a device as described in any of the above embodiments are performed.

[0170] In this specification, each embodiment is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments can be referred to each other. For the hardware disclosed in the embodiments, including devices and electronic devices, since they correspond to the methods disclosed in the embodiments, the description is relatively simple, and the relevant parts can be referred to the method part.

[0171] Professionals may further appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in the above description according to function. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians may use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0172] The above is a detailed introduction to the adaptive control method, device, electronic device and readable storage medium for the power consumption of a device provided by the present application. Specific examples are used herein to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. It should be pointed out that for ordinary technicians in this technical field, without departing from the principles of the present invention, several improvements and modifications can be made to the present application, and these improvements and modifications also fall within the scope of protection of the claims of the present application.

Claims

1. A method for adaptively controlling power consumption of equipment, characterized in that: include: Acquire the homestay operation data and corresponding layout scenario data of multiple homestays within a preset time period in advance, and generate a homestay electricity consumption scenario model through a clustering method; construct a homestay energy-saving level evaluation index system based on the electricity consumption characteristics of the homestay public area and guest room area, and calculate the various evaluation index values ​​of each homestay under the homestay electricity consumption scenario model to obtain an evaluation decision matrix; Determine a weighting model for evaluating the power supply service level based on the deviation degree, so as to determine the weight of each indicator in the energy-saving level evaluation index system of the homestay; Based on the evaluation decision matrix and the weighting model, the energy-saving level score of each homestay is calculated, and according to the fuzzy membership function, the energy-saving level membership matrix is ​​generated to determine the energy-saving level of the homestay according to the maximum membership principle; the energy-saving index system includes public lighting energy-saving index, central air-conditioning power saving rate index, vacant guest room energy-saving space index and intelligent load optimization space index; Input the current meteorological data of the homestay to be controlled and the historical power consumption data of each target power-consuming device into the homestay power consumption model to obtain the current energy-saving level of the homestay to be controlled; According to the current energy saving level and the power consumption data of each target power-consuming device at the current moment, power regulation information of each target power-consuming device is determined, so as to control the power consumption of the corresponding target power-consuming device based on the power regulation information.

2. The adaptive control method for equipment power consumption according to claim 1, characterized in that: The calculation of various evaluation index values ​​of each homestay under the homestay electricity usage scenario model includes: Call the public lighting electricity consumption calculation formula to calculate the public lighting electricity consumption information of each homestay under the homestay electricity consumption scenario model; Calling the air-conditioning power consumption calculation formula to calculate the air-conditioning power consumption information of each homestay under the homestay power consumption scenario model; Calling the vacant guest room electricity consumption calculation formula to calculate the vacant guest room electricity consumption information of each homestay under the homestay electricity consumption scenario model; The guest room load power consumption calculation formula is called to calculate the guest room load power consumption information of each homestay under the homestay power consumption scenario model; Wherein, the public lighting calculation formula is: The air conditioning power consumption calculation formula is: The calculation formula for electricity consumption of vacant guest rooms is: The calculation formula for guest room load power consumption is: Where f1 is the public lighting electricity consumption information, α i is the recommended lighting coefficient of the i-th electrical equipment, Q is the number of lighting equipment, P 11 is the ideal power of the i-th electrical equipment, is the actual power consumption of the electrical equipment, t is the duration of no one in the lighting area, T0 is the duration threshold, E is the lower limit of light intensity, n is the number of people active in the lighting area; f2 is the power consumption information of air conditioners, Q2 is the total number of central air conditioners, is the ideal power of the i-th electrical equipment, is the actual power consumption of the i-th electrical equipment; f3 is the power consumption information of vacant guest rooms, Q3 is the total number of vacant guest rooms, is the ideal power of the i-th electrical equipment, is the actual power consumption of the i-th electrical equipment; f4 is the power consumption information of the guest room load, Q4 is the total number of occupied guest rooms, S is the number of electrical appliances participating in energy-saving control, is the ideal power of the jth appliance participating in energy-saving control of the i-th electrical equipment, is the actual electrical power of the jth electrical equipment participating in energy-saving control of the i-th electrical equipment.

3. The adaptive control method for equipment power consumption according to claim 1, characterized in that: The weighting model for determining the evaluation of the power supply service level based on the deviation degree includes: The weight calculation formula is called to calculate the weight value of each indicator in the homestay energy saving level evaluation index system, and the weight calculation formula is: In the formula, w m is the weight value of the mth indicator, d m is the deviation of the mth indicator, f m is the index value of the mth index, is the ideal point of the mth index, Z + =[0,0,0,0].

4. The adaptive control method for equipment power consumption according to claim 3, characterized in that: The energy-saving level of the homestay is determined according to the maximum membership principle, including: Determine the fuzzy evaluation vector of the homestay to be controlled according to the weight values ​​of different indicators of the homestay to be controlled and the fuzzy relationship matrix determined by each indicator; The one with the largest membership degree is selected from the fuzzy evaluation vectors as the energy-saving level of the homestay to be controlled.

5. The adaptive control method for equipment power consumption according to any one of claims 1 to 4, characterized in that: After determining the power adjustment information of each target power-consuming device according to the current energy-saving level and the power consumption data of each target power-consuming device at the current moment, the method further includes: For each target power-consuming device, determine the device parameters and power consumption time according to the power regulation information of the current target power-consuming device; Based on the device parameters and the power consumption time, the corresponding parameters and working status of the current target power-consuming device are automatically adjusted.

6. An adaptive control device for equipment power consumption, characterized in that: include: The model pre-construction module is used to pre-acquire the homestay operation data and corresponding layout scenario data of multiple homestays within a preset time period, and generate a homestay electricity consumption scenario model through a clustering method; according to the electricity consumption characteristics of the public areas and guest room areas of the homestay, a homestay energy-saving level evaluation index system is constructed, and the evaluation index values ​​of each homestay under the homestay electricity consumption scenario model are calculated to obtain an evaluation decision matrix; Determine a weighting model for evaluating the power supply service level based on the deviation degree, so as to determine the weight of each indicator in the energy-saving level evaluation index system of the homestay; Based on the evaluation decision matrix and the weighting model, the energy-saving level score of each homestay is calculated, and according to the fuzzy membership function, the energy-saving level membership matrix is ​​generated to determine the energy-saving level of the homestay according to the maximum membership principle; the energy-saving index system includes public lighting energy-saving index, central air-conditioning power saving rate index, vacant guest room energy-saving space index and intelligent load optimization space index; An energy-saving level determination module, used to input the current meteorological data of the homestay to be controlled and the historical power consumption data of each target power-consuming device into the homestay power consumption model to obtain the current energy-saving level of the homestay to be controlled; The power consumption control module is used to determine the power regulation information of each target power-consuming device according to the current energy-saving level and the power consumption data of each target power-consuming device at the current moment, so as to control the power consumption of the corresponding target power-consuming device based on the power regulation information.

7. An electronic device, characterized in that: The method comprises a processor and a memory, wherein the processor is used to implement the steps of the method for adaptively controlling power consumption of a device as claimed in any one of claims 1 to 5 when executing a computer program stored in the memory.

8. A readable storage medium, characterized in that: The readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method for adaptively controlling power consumption of a device as claimed in any one of claims 1 to 5 are implemented.

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