CN111652457A - Smart hotel energy consumption management method and system, electronic equipment and storage medium - Google Patents
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Abstract
The invention discloses a smart hotel energy consumption management method, a system, electronic equipment and a storage medium, wherein the method comprises the following steps: acquiring first unit area energy consumption and first unit room energy consumption, wherein the first unit area energy consumption is the mean value of the unit area energy consumption of all hotels, and the first unit room energy consumption is the mean value of the unit room energy consumption of all hotels; acquiring second unit area energy consumption and second unit room energy consumption, wherein the second unit area energy consumption is the unit area energy consumption of the hotel to be managed, and the second unit room energy consumption is the unit room energy consumption of the hotel to be managed; and controlling the energy consumption of the hotel to be managed according to the first unit area energy consumption, the second unit area energy consumption, the first unit room energy consumption and the second unit room energy consumption. The invention also discloses a corresponding system, electronic equipment and storage medium, which can effectively control the energy consumption of the hotel to be managed.
Description
Technical Field
The invention belongs to the field of energy consumption, and particularly relates to an energy consumption management method and system for an intelligent hotel.
Background
Whether the energy consumption is reasonably controlled is a central task of a hotel project manager. In the energy control process, a hotel manager is difficult to master a good calculation basis to a great extent.
The energy index control of the hotels is very difficult, the main basis for whether the energy consumption of each hotel is reasonable is made by the energy consumption experience in the same period of the years, objective factors are not used as the basis, and managers often cannot effectively control and manage the energy consumption of the hotels because the managers cannot accurately judge whether the energy consumption of the hotels is reasonable.
Disclosure of Invention
The invention aims to solve one of the problems in the prior art, and provides an intelligent hotel energy consumption management method and system, which can effectively control and manage hotel energy consumption.
In order to achieve the object, in a first aspect of the present disclosure, a method for energy consumption management of a smart hotel includes:
acquiring first unit area energy consumption and first unit room energy consumption, wherein the first unit area energy consumption is the mean value of the unit area energy consumption of all hotels, and the first unit room energy consumption is the mean value of the unit room energy consumption of all hotels;
acquiring second unit area energy consumption and second unit room energy consumption, wherein the second unit area energy consumption is the unit area energy consumption of the hotel to be managed, and the second unit room energy consumption is the unit room energy consumption of the hotel to be managed;
and controlling the energy consumption of the hotel to be managed according to the first unit area energy consumption, the second unit area energy consumption, the first unit room energy consumption and the second unit room energy consumption.
Optionally, controlling energy consumption of the hotel to be managed according to the first energy consumption per unit area, the second energy consumption per unit area, the first energy consumption per unit room, and the second energy consumption per unit room includes:
when the ratio of the second unit area energy consumption to the first unit area energy consumption and the ratio of the second unit room energy consumption to the first unit room energy consumption are both smaller than preset values, controlling the hotel to be managed to reduce the energy consumption
Optionally, the method further includes: acquiring third unit area energy consumption and third unit area energy consumption, wherein the third unit area energy consumption is the lowest value of the unit area energy consumption of all hotels; the lowest energy consumption value of the third unit room is the lowest energy consumption value of the unit rooms of all hotels;
the control of the hotel to be managed for reducing energy consumption comprises the following steps: and controlling the hotel to be managed to reduce energy consumption according to a first difference value between the first unit area energy consumption and the third unit area energy consumption and a second difference value between the first unit room energy consumption and the third unit room energy consumption.
Optionally, controlling the hotel to be managed to reduce energy consumption according to a first difference between the first energy consumption per unit area and the third energy consumption per unit area and a second difference between the first energy consumption per unit room and the third energy consumption per unit room, including: the hotel to be managed is controlled to reduce the energy consumption of the first set point, which is the sum of 1/20 for the first difference and 1/20 for the second difference.
Optionally, the controlling energy consumption of the hotel to be managed according to the first energy consumption per unit area, the second energy consumption per unit area, the first energy consumption per unit room, and the second energy consumption per unit room includes:
step S1: the method comprises the steps of constructing a hotel energy consumption level detection model by using an analytic hierarchy process, wherein scheme level elements of the hotel energy consumption level detection model comprise a ratio of energy consumption per unit area to energy consumption per unit area and a ratio of energy consumption per unit room to energy consumption per unit room;
step S2: constructing a judgment matrix according to the hotel energy consumption level detection model;
step S3: performing consistency check on the judgment matrix, if the consistency result is less than 0.10, performing step S4, otherwise, re-performing step S2;
step S4: generating weights of elements of each layer in the hotel energy consumption level detection model according to the judgment matrix;
step S5: determining a detection result of the energy consumption of the hotel to be detected according to the hotel energy consumption level detection model with the weight;
step S6: and controlling the energy consumption of the hotel to be managed according to the energy consumption detection result of the hotel to be managed.
Optionally, the scheme layer elements of the hotel energy consumption level detection model further include: the unit business income power consumption, the per-capita power consumption, the unit guest room power consumption and the unit business expense power consumption.
Optionally, the weight index of the scheme layer element of the hotel energy consumption level detection model includes: an absolute minor score of 1/9, a very minor score of 1/7, a comparative minor score of 1/5, a slight minor score of 1/3, the same significance with a score of 1, a slightly significant score of 3, a relatively significant score of 5, a very significant score of 7, and an absolute significance score of 9.
In a second aspect of the disclosure, a smart hotel energy consumption management system includes:
the energy consumption of the first unit area is the average value of the energy consumption of the unit areas of all hotels, and the energy consumption of the first unit room is the average value of the energy consumption of the unit rooms of all hotels;
the system comprises a first acquisition module, a second acquisition module and a control module, wherein the first acquisition module is used for acquiring first unit area energy consumption and first unit room energy consumption, the first unit area energy consumption is unit area energy consumption of a hotel to be managed, and the first unit room energy consumption is unit average room of the hotel to be managed;
and the control module is used for controlling the energy consumption of the hotel to be managed according to the first unit area energy consumption, the second unit area energy consumption, the first unit room energy consumption and the second unit room energy consumption.
In a third aspect of the disclosure, an electronic device comprises a processor and a memory, the memory storing machine executable instructions executable by the processor to implement the method of any one of the first aspect of the disclosure.
A fourth aspect of the disclosure, a storage medium having stored thereon a computer program which, when executed by a processor, implements the method of any of the first aspects of the disclosure.
The technical scheme of the present disclosure can be implemented to obtain the following beneficial technical effects: based on the average value of the energy consumption of the unit area of all the hotels, the average value of the energy consumption of the unit rooms of all the hotels, the energy consumption of the unit area of the hotel to be managed and the energy consumption of the unit rooms of the hotel to be managed, the energy consumption of the hotel to be managed is controlled, the energy consumption of the hotel can be managed more effectively, the energy consumption of the hotel is reduced, and the purpose of energy conservation is achieved.
Drawings
Fig. 1 is a flowchart of a method for energy consumption management of a smart green hotel in an embodiment of the present disclosure;
fig. 2 is a flowchart of a method for energy consumption management of a smart green hotel in an embodiment of the present disclosure;
fig. 3 is a block diagram of an intelligent greenhotel energy management system according to an embodiment of the present disclosure.
Detailed Description
To facilitate understanding of those skilled in the art, the present invention will be further described with reference to specific examples:
example 1:
referring to fig. 1, the method for managing energy consumption of the intelligent green hotel comprises the following steps:
step 1, acquiring first unit area energy consumption and first unit room energy consumption, wherein the first unit area energy consumption is the average value of the unit area energy consumption of all hotels, and the first unit room energy consumption is the average value of the unit room energy consumption of all hotels;
all hotels in this step refer to all hotels to be compared, and the hotels to be compared are generally the same type of hotels where the hotels to be managed are located.
Step 2, acquiring second unit area energy consumption and second unit room energy consumption, wherein the second unit area energy consumption is the unit area energy consumption of the hotel to be managed, and the second unit room energy consumption is the unit room energy consumption of the hotel to be managed;
and 3, controlling the energy consumption of the hotel to be managed according to the first unit area energy consumption, the second unit area energy consumption, the first unit room energy consumption and the second unit room energy consumption.
The energy consumption of the hotel to be managed is controlled based on the average value of the energy consumption of the unit area of all the hotels, the average value of the energy consumption of the unit room of all the hotels, the energy consumption of the unit area of the hotel to be managed and the energy consumption of the unit room of the hotel to be managed. The average value of the energy consumption per unit area of all the hotels, the average value of the energy consumption per unit room of all the hotels, the energy consumption per unit area of the hotels to be managed and the energy consumption per unit room of the hotels to be managed are objective values, so that the energy consumption of the hotels can be managed more effectively by subjective judgment, the energy consumption of the hotels is reduced, and the purpose of energy conservation is achieved.
In one embodiment, controlling energy consumption of the hotel to be managed based on the first energy consumption per unit area, the second energy consumption per unit area, the first energy consumption per unit room, and the second energy consumption per unit room comprises:
and when the ratio of the energy consumption of the second unit area to the energy consumption of the first unit area and the ratio of the energy consumption of the second unit room to the energy consumption of the first unit room are both smaller than preset values, controlling the hotel to be managed to reduce the energy consumption.
Specifically, when the ratio of the energy consumption of the second unit area to the energy consumption of the first unit area and the ratio of the energy consumption of the second unit room to the energy consumption of the first unit room are both smaller than preset values, the energy consumption of the hotel to be managed is reduced. When the ratio of the energy consumption of the second unit area to the energy consumption of the first unit area and the ratio of the energy consumption of the room of the second unit to the energy consumption of the room of the first unit are both smaller than preset values, the energy consumption is reduced, and the energy is saved while the hotel customer experience is not influenced. A specific preset value may be 1.4. The way of reducing the energy consumption may be to reduce the air conditioning power, etc. The environment temperature and the humidity of the guest room service area are controlled by avoiding excessive energy consumption, and the total energy cost of the hotel is effectively used.
In one embodiment, the method further comprises: acquiring third unit area energy consumption and third unit area energy consumption, wherein the third unit area energy consumption is the lowest value of the unit area energy consumption of all hotels; the lowest value of the energy consumption of the third unit room is the lowest value of the energy consumption of the unit rooms of all hotels;
controlling the hotel to be managed to reduce energy consumption, comprising: and controlling the hotel to be managed to reduce energy consumption according to a first difference value between the first unit area energy consumption and the third unit area energy consumption and a second difference value between the first unit room energy consumption and the third unit room energy consumption.
Based on the first difference value and the second difference value, the energy consumption of the hotel to be managed is controlled to be reduced, so that energy is saved, and meanwhile, the customer experience of the hotel is not influenced.
In one embodiment, controlling the hotel to be managed to reduce energy consumption according to a first difference between the first energy consumption per unit area and the third energy consumption per unit area and a second difference between the first energy consumption per unit room and the third energy consumption per unit room comprises: the hotel to be managed is controlled to reduce the energy consumption of the first set point, which is the sum of 1/20 for the first difference and 1/20 for the second difference.
In the process of gradually reducing the energy consumption, the rate of reducing the energy consumption gradually slows down, so as to reduce the energy consumption under the condition of hiding the basic experience of the user.
In one embodiment, referring to fig. 2, controlling energy consumption of a hotel to be managed according to a first energy consumption per unit area, a second energy consumption per unit area, a first energy consumption per unit room, and a second energy consumption per unit room comprises:
step S1: constructing a hotel energy consumption level detection model according to an analytic hierarchy process, wherein scheme layer elements of the hotel energy consumption level detection model comprise a ratio of energy consumption per second unit area to energy consumption per first unit area and a ratio of energy consumption per second unit room to energy consumption per first unit room;
step S2: constructing a judgment matrix according to the hotel energy consumption level detection model;
step S3: performing consistency check on the judgment matrix, if the consistency result is less than 0.10, performing step S4, otherwise, re-performing step S2;
step S4: generating weights of elements of each layer in the hotel energy consumption level detection model according to the judgment matrix;
step S5: determining a detection result of the energy consumption of the hotel to be detected according to the hotel energy consumption level detection model with the weight;
step S6: and controlling the energy consumption of the hotel to be managed according to the energy consumption detection result of the hotel to be managed.
The energy consumption of the hotel to be managed is controlled through an analytic hierarchy process, the control precision is improved, and the control efficiency is improved.
The analytic hierarchy process is a systematic method which takes a complex multi-target decision problem as a system, decomposes a target into a plurality of targets or criteria, further decomposes the targets into a plurality of layers of multi-index (or criteria, constraint), calculates the single-layer sequence (weight) and the total sequence by a qualitative index fuzzification method, and takes the single-layer sequence and the total sequence as the target (multi-index) and multi-scheme optimization decision. It not only applies to situations where there is uncertainty and subjective information, but also allows experience, insight and intuition to be applied in a logical way. The greatest advantage of the analytic hierarchy process is that a hierarchy is provided, so that a decision maker can carefully consider the relative importance of indexes, and the process is intuitive, simple and clear.
It stratifies the factors involved in the problem: the highest layer (target layer); an intermediate layer (a connection layer between the target layer and the scheme layer, which can also be called a strategy layer, a criterion layer, etc.); the lowest layer (schema layer, object layer). The target layer usually has only one factor, the middle layer can have one or more layers, all factors of the same layer depend on or have influence on the factors of the upper layer, and at the same time, all factors of the next layer are controlled, and all factors to be considered are placed in the proper layer.
The basic steps of the analytic hierarchy process are divided into the following four steps:
and establishing a hierarchical structure model. On the basis of in-depth analysis of the problem, all related factors are decomposed into a plurality of layers from top to bottom according to different attributes. When there are too many criteria (more than 9) sub-criteria layers should be further decomposed. Comparing a group of indexes at the same level pairwise, assigning values by using a Starta relative importance level table according to relative importance of the indexes, and forming a pairwise comparison judgment matrix: a ═ Xij)n*n。
And (3) constructing a pair of comparison arrays, starting from the layer 2 of the hierarchical model, and constructing the pair of comparison arrays by using a pair comparison method for the factors of the same layer subordinate to each factor of the previous layer until the lowest layer.
And calculating a weight vector and performing consistency check. And calculating the maximum characteristic root and the corresponding characteristic vector of each pair comparison array, and performing consistency check by using the consistency index, the random consistency index and the consistency ratio. If the verification is passed, the feature vector is a weight vector; if not, the comparison matrix needs to be reconstructed. With the difference in cognition, the matrix judgment may not have consistency, and may be checked by using a "random consistency ratio", where CI denotes a consistency index, and CI denotes (λ)max-n)/(n-1)，λmaxRepresents the maximum eigenvalue of the matrix, n represents the order of the matrix, RI represents the average random consistency index, when CR is<When the value is 0.10, the single-layer sorting is effective; when CR is reached>When 0.10, the difference is too large, and it is not effective).
And calculating the combined weight vector and carrying out combined consistency check, calculating the combined weight vector of the lowest layer to the target, carrying out combined consistency check according to a formula, if the combined weight vector passes the check, making a decision according to a result expressed by the combined weight vector, and otherwise, reconsidering the model or reconstructing a pairwise comparison array with a larger consistency ratio.
In one embodiment, the scheme layer elements of the hotel energy consumption level detection model further include: the unit business income power consumption, the per-capita power consumption, the unit guest room power consumption and the unit business expense power consumption.
The method brings the unit business income power consumption, the per-person power consumption, the unit guest room power consumption and the unit business expense power consumption into the hotel energy consumption level detection model, and can further improve the control effect and the control precision of the energy consumption of the hotel to be managed.
In one embodiment, the weight indexes of the solution layer elements of the hotel energy consumption level detection model comprise: an absolute minor score of 1/9, a very minor score of 1/7, a comparative minor score of 1/5, a slight minor score of 1/3, the same significance with a score of 1, a slightly significant score of 3, a relatively significant score of 5, a very significant score of 7, and an absolute significance score of 9.
And (3) value specification: if the importance of two indices is between two evaluation levels, then an intermediate score can be taken, and if index i has a score value relative to index j, then the score of index j relative to index i is made to be its inverse. The relative importance of the indexes is determined by comparing the indexes of the same level pairwise, if the influence importance of the two indexes is considered to be equivalent, the value is 1, the value is 3 if the former is slightly more important than the latter, and the value is 1/3 if the former is slightly less important than the latter, and in the same way, if the former is considered to be more important than the latter, the value is 5, the value is 7 if the former is very important, and the value is 9 if the former is absolutely important.
And selecting experts on professional posts in each city to perform questionnaire survey, wherein the final judgment matrix is obtained after correcting and weighting results of the questionnaires because different respondents have different understandings on the importance of each index and have the conditions of understandings or filling errors and the like.
Example 2
Referring to fig. 3, the intelligent hotel energy consumption management system includes:
the first obtaining module 11 obtains a first energy consumption per unit area and a first energy consumption per unit room, where the first energy consumption per unit area is an average value of the energy consumptions per unit area of all hotels, and the first energy consumption per unit room is an average value of the energy consumptions per unit room of all hotels;
the second obtaining module 12 obtains a second unit area energy consumption and a second unit room energy consumption, where the second unit area energy consumption is a unit area energy consumption of the hotel to be managed, and the second unit room energy consumption is a unit average room of the hotel to be managed;
and the control module 13 is used for controlling the energy consumption of the hotel to be managed according to the first unit area energy consumption, the second unit area energy consumption, the first unit room energy consumption and the second unit room energy consumption.
In one embodiment, controlling energy consumption of the hotel to be managed based on the first energy consumption per unit area, the second energy consumption per unit area, the first energy consumption per unit room, and the second energy consumption per unit room comprises:
and when the ratio of the energy consumption of the second unit area to the energy consumption of the first unit area and the ratio of the energy consumption of the second unit room to the energy consumption of the first unit room are both smaller than preset values, controlling the hotel to be managed to reduce the energy consumption.
Specifically, when the ratio of the energy consumption of the second unit area to the energy consumption of the first unit area and the ratio of the energy consumption of the second unit room to the energy consumption of the first unit room are both smaller than preset values, the energy consumption of the hotel to be managed is reduced. When the ratio of the energy consumption of the second unit area to the energy consumption of the first unit area and the ratio of the energy consumption of the room of the second unit to the energy consumption of the room of the first unit are both smaller than preset values, the energy consumption is reduced, and the energy is saved while the hotel customer experience is not influenced. A specific preset value may be 1.4. The way of reducing the energy consumption may be to reduce the air conditioning power, etc. The environment temperature and the humidity of the guest room service area are controlled by avoiding excessive energy consumption, and the total energy cost of the hotel is effectively used.
In one embodiment, the system further comprises:
the third acquisition module is used for acquiring third unit area energy consumption and third unit area energy consumption, wherein the third unit area energy consumption is the lowest value of the unit area energy consumption of all hotels; the lowest value of the energy consumption of the third unit room is the lowest value of the energy consumption of the unit rooms of all hotels;
controlling the hotel to be managed to reduce energy consumption, comprising: and controlling the hotel to be managed to reduce energy consumption according to a first difference value between the first unit area energy consumption and the third unit area energy consumption and a second difference value between the first unit room energy consumption and the third unit room energy consumption.
Based on the first difference value and the second difference value, the energy consumption of the hotel to be managed is controlled to be reduced, so that energy is saved, and meanwhile, the customer experience of the hotel is not influenced.
In one embodiment, controlling the hotel to be managed to reduce energy consumption according to a first difference between the first energy consumption per unit area and the third energy consumption per unit area and a second difference between the first energy consumption per unit room and the third energy consumption per unit room comprises: the hotel to be managed is controlled to reduce the energy consumption of the first set point, which is the sum of 1/20 for the first difference and 1/20 for the second difference.
The system of the embodiment gradually reduces the power consumption at a gradually reduced rate, so as to reduce the power consumption while concealing the basic experience of the user.
In one embodiment, referring to fig. 2, controlling energy consumption of a hotel to be managed according to a first energy consumption per unit area, a second energy consumption per unit area, a first energy consumption per unit room, and a second energy consumption per unit room comprises:
step S1: constructing a hotel energy consumption level detection model according to an analytic hierarchy process, wherein scheme layer elements of the hotel energy consumption level detection model comprise a ratio of energy consumption per second unit area to energy consumption per first unit area and a ratio of energy consumption per second unit room to energy consumption per first unit room;
step S2: constructing a judgment matrix according to the hotel energy consumption level detection model;
step S3: performing consistency check on the judgment matrix, judging whether the consistency result is less than 0.10, if so, performing the step S4, otherwise, re-performing the step S2;
step S4: generating weights of elements of each layer in the hotel energy consumption level detection model according to the judgment matrix;
step S5: determining a detection result of the energy consumption of the hotel to be detected according to the hotel energy consumption level detection model with the weight;
step S6: and controlling the energy consumption of the hotel to be managed according to the energy consumption detection result of the hotel to be managed.
The energy consumption of the hotel to be managed is controlled through an analytic hierarchy process, the control precision is improved, and the control efficiency is improved.
In one embodiment, the scheme layer elements of the hotel energy consumption level detection model further include: the unit business income power consumption, the per-capita power consumption, the unit guest room power consumption and the unit business expense power consumption.
The method brings the unit business income power consumption, the per-person power consumption, the unit guest room power consumption and the unit business expense power consumption into the hotel energy consumption level detection model, and can further improve the control effect and the control precision of the energy consumption of the hotel to be managed.
In one embodiment, the weight indexes of the solution layer elements of the hotel energy consumption level detection model comprise: an absolute minor score of 1/9, a very minor score of 1/7, a comparative minor score of 1/5, a slight minor score of 1/3, the same significance with a score of 1, a slightly significant score of 3, a relatively significant score of 5, a very significant score of 7, and an absolute significance score of 9.
Example 3
An electronic device comprising a processor and a memory, the memory storing machine executable instructions executable by the processor to implement the method of any of embodiment 1.
Example 4
A storage medium having stored thereon a computer program which, when executed by a processor, implements the method of any of embodiment 1.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.
The above description is only an embodiment of the present invention, but the technical features of the present invention are not limited thereto, and any changes or modifications within the technical field of the present invention by those skilled in the art are covered by the claims of the present invention.
Claims (10)
1. The intelligent hotel energy consumption management method is characterized by comprising the following steps:
acquiring first unit area energy consumption and first unit room energy consumption, wherein the first unit area energy consumption is the mean value of the unit area energy consumption of all hotels, and the first unit room energy consumption is the mean value of the unit room energy consumption of all hotels;
acquiring second unit area energy consumption and second unit room energy consumption, wherein the second unit area energy consumption is the unit area energy consumption of the hotel to be managed, and the second unit room energy consumption is the unit room energy consumption of the hotel to be managed;
and controlling the energy consumption of the hotel to be managed according to the first unit area energy consumption, the second unit area energy consumption, the first unit room energy consumption and the second unit room energy consumption.
2. The intelligent hotel energy consumption management method of claim 1, wherein controlling the hotel energy consumption to be managed based on the first energy consumption per unit area, the second energy consumption per unit area, the first energy consumption per unit room, and the second energy consumption per unit room comprises:
and when the ratio of the second unit area energy consumption to the first unit area energy consumption and the ratio of the second unit room energy consumption to the first unit room energy consumption are both smaller than preset values, controlling the hotel to be managed to reduce the energy consumption.
3. The intelligent hotel energy consumption management method of claim 2, further comprising: acquiring third unit area energy consumption and third unit area energy consumption, wherein the third unit area energy consumption is the lowest value of the unit area energy consumption of all hotels; the lowest energy consumption value of the third unit room is the lowest energy consumption value of the unit rooms of all hotels;
the control of the hotel to be managed for reducing energy consumption comprises the following steps: and controlling the hotel to be managed to reduce energy consumption according to a first difference value between the first unit area energy consumption and the third unit area energy consumption and a second difference value between the first unit room energy consumption and the third unit room energy consumption.
4. The intelligent hotel energy consumption management method of claim 3, wherein controlling the hotel to be managed to reduce energy consumption based on a first difference between the first energy consumption per unit area and a third energy consumption per unit area and a second difference between the first energy consumption per unit room and a third energy consumption per unit room comprises: the hotel to be managed is controlled to reduce the energy consumption of the first set point, which is the sum of 1/20 for the first difference and 1/20 for the second difference.
5. The intelligent hotel energy consumption management method of claim 1, wherein said controlling hotel energy consumption to be managed based on the first energy consumption per unit area, the second energy consumption per unit area, the first energy consumption per unit room, and the second energy consumption per unit room comprises:
step S1: constructing a hotel energy consumption level detection model according to an analytic hierarchy process, wherein scheme layer elements of the hotel energy consumption level detection model comprise a ratio of energy consumption per second unit area to energy consumption per first unit area and a ratio of energy consumption per second unit room to energy consumption per first unit room;
step S2: constructing a judgment matrix according to the hotel energy consumption level detection model;
step S3: performing consistency check on the judgment matrix, if the consistency result is less than 0.10, performing step S4, otherwise, re-performing step S2;
step S4: generating weights of elements of each layer in the hotel energy consumption level detection model according to the judgment matrix;
step S5: determining a detection result of the energy consumption of the hotel to be detected according to the hotel energy consumption level detection model with the weight;
step S6: and controlling the energy consumption of the hotel to be managed according to the energy consumption detection result of the hotel to be managed.
6. The intelligent hotel energy consumption management method of claim 5, wherein the solution level elements of the hotel energy consumption level detection model further comprise: the unit business income power consumption, the per-capita power consumption, the unit guest room power consumption and the unit business expense power consumption.
7. The intelligent hotel energy consumption management method as recited in claim 6, wherein the weighting indicators of the plan-level elements of the hotel energy consumption level detection model comprise: an absolute minor score of 1/9, a very minor score of 1/7, a comparative minor score of 1/5, a slight minor score of 1/3, the same significance with a score of 1, a slightly significant score of 3, a relatively significant score of 5, a very significant score of 7, and an absolute significance score of 9.
8. Wisdom hotel energy consumption management system, its characterized in that includes:
the energy consumption of the first unit area is the average value of the energy consumption of the unit areas of all hotels, and the energy consumption of the first unit room is the average value of the energy consumption of the unit rooms of all hotels;
the system comprises a first acquisition module, a second acquisition module and a control module, wherein the first acquisition module is used for acquiring first unit area energy consumption and first unit room energy consumption, the first unit area energy consumption is unit area energy consumption of a hotel to be managed, and the first unit room energy consumption is unit average room of the hotel to be managed;
and the control module is used for controlling the energy consumption of the hotel to be managed according to the first unit area energy consumption, the second unit area energy consumption, the first unit room energy consumption and the second unit room energy consumption.
9. An electronic device comprising a processor and a memory, the memory storing machine executable instructions executable by the processor to implement the method of any one of claims 1-7.
10. A storage medium on which a computer program is stored, which computer program, when being executed by a processor, carries out the method according to any one of claims 1-7.
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| CN115496628A (en) * | 2022-10-21 | 2022-12-20 | 普杰软件(南京)有限公司 | Smart hotel management system |
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