CN113987410B - College energy management method and system based on Internet of things technology - Google Patents

College energy management method and system based on Internet of things technology Download PDF

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CN113987410B
CN113987410B CN202111607039.6A CN202111607039A CN113987410B CN 113987410 B CN113987410 B CN 113987410B CN 202111607039 A CN202111607039 A CN 202111607039A CN 113987410 B CN113987410 B CN 113987410B
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裴雅琼
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Abstract

The invention relates to the technical field of energy management of colleges and universities, and particularly provides a college energy management method and system based on the technology of Internet of things, wherein the method comprises the following steps: acquiring course arrangement on the day, classroom use application on the day and estimated amount of a first person, wherein the first person is a person who stays in a teaching building after excluding students and teachers needing to go to class; generating a classroom usage plan of the current day based on the course schedule, the classroom usage application, and the first person pre-assessment; providing energy to the classrooms based on the current classroom use plan while reducing classroom energy in non-classroom use plans; according to the energy management method for colleges and universities based on the Internet of things technology, disclosed by the invention, the course arrangement, the classroom arrangement and the estimated number of teachers and students who perform activities such as self-study are obtained, then, classroom use plans are generated based on the obtained data, for the rest classrooms, the purpose of energy conservation is achieved by reducing energy supply, and the effect of perfecting energy-saving measures of colleges and universities is achieved.

Description

College energy management method and system based on Internet of things technology
Technical Field
The invention relates to the technical field of energy management of colleges and universities, in particular to a college energy management method and system based on the Internet of things technology.
Background
In recent decades, higher education is more and more concerned and valued by the whole society, the study scale of colleges and universities is continuously enlarged, the number of teachers and students is also increased, the teaching facilities, the study environment and the living conditions of the colleges and universities are obviously improved, and the public financial expenditure of the colleges and universities is also greatly increased.
At present, in energy management of colleges and universities, energy-saving measures still exist in imperfect places, the energy-saving measures of colleges and universities generally adopt some energy-saving products, meanwhile, teachers and students are conscious, and workers timely close electric water utilization equipment, the energy-saving mode has great waste, for example, a classroom without one person still can be lighted, an air conditioner is started, a heater is started, and the like, or a plurality of classrooms only have one or two persons to learn by themselves, so that the problem of unreasonable utilization of the classroom exists, and therefore, the energy management method and the energy management system based on the internet of things technology for colleges and universities are provided.
Disclosure of Invention
The invention aims to provide an energy management method and system for colleges and universities based on the Internet of things technology, so as to solve the problem that the energy-saving measures of the colleges and universities are incomplete at present.
In order to achieve the purpose, the invention provides the following technical scheme:
a college energy management method based on the Internet of things technology comprises the following steps:
acquiring course arrangement on the day, classroom use application on the day and estimated amount of a first person, wherein the first person is a person who stays in a teaching building after excluding students and teachers needing to go to class;
generating a classroom usage plan of the current day based on the course schedule, the classroom usage application, and the first person pre-assessment;
classroom energy is provided based on the current day classroom use plan while reducing classroom energy within non-classroom use plans.
Further, the method for obtaining the first person estimated value comprises the following steps:
acquiring a current date and a prediction function, wherein the prediction function is a function model based on the date as an independent variable and a first person related variable as a dependent variable;
a first person prediction amount is obtained based on the date of the day and a prediction function.
Further, the method for generating the prediction function comprises the following steps:
acquiring the number of first persons in different dates in the last school year, and generating a first number set;
and generating a prediction function by a function fitting method based on the elements in the first number set, wherein the independent variable of the prediction function is the date, and the dependent variable of the prediction function is the number of the first persons.
Further, the method for obtaining the first person estimated value comprises the following steps:
acquiring the first number of people in the previous day, and recording as y 1;
acquiring a first person number corresponding to the date of the last day in the first number set, and recording the first person number as y 2;
replacing y2 with y1 generates a second number set;
a prediction function is generated by a function fitting method based on elements in the second number set.
Further, the method for generating the prediction function comprises the following steps:
acquiring the number of first persons in different dates and the total number of the school in the last school year, acquiring the proportion of the first persons in the different dates to the total number of the school based on the number of the first persons in the different dates and the total number of the school, and generating a third number set;
and generating a prediction function by a function fitting method based on the elements in the third number set, wherein the independent variable of the prediction function is date, and the dependent variable of the prediction function is prediction proportion.
Further, the method for obtaining the first person estimated value further comprises the following steps:
acquiring the proportion of the number of first persons in the school year on the last day, and recording as a first proportion;
acquiring the proportion of the number of first persons corresponding to the date of the last day in the third number set to the total number of the school in the school year, and recording the proportion as a second proportion;
replacing the second proportion in the third number set with the first proportion to generate a fourth number set;
and generating a new prediction function by a function fitting method based on the numerical values in the fourth number set.
Further, the classroom use plan on the same day includes:
the classroom of giving lessons, the classroom that the course arrangement needs to use on the same day;
a live classroom, a classroom that has passed through as needed on the day in the classroom use application;
a free classroom for a classroom used by a first person.
Further, the number of free classrooms is obtained by the following method:
acquiring the maximum number of people in other classrooms except teaching classrooms and activity classrooms in the teaching building;
acquiring the average number of persons in the classroom based on the maximum number of persons in other classrooms and the preset accommodation proportion, and acquiring the number of free classrooms based on the first person estimated in advance and the average number of persons in the classroom; wherein the content of the first and second substances,
the number of free classrooms is obtained by formula (1):
Figure 728889DEST_PATH_IMAGE004
formula (1);
where a represents the number of free classrooms.
Further, the method also comprises the following steps:
a classroom use plan is published to facilitate use of the classroom by school personnel.
The invention also discloses an energy management system of colleges and universities, which comprises:
the acquisition unit is used for acquiring course arrangement on the day, classroom application on the day and the number of people who pass in and out of a teaching building;
the estimating unit is used for acquiring a first person estimated quantity;
a control unit for generating a classroom use plan of the day;
and the execution unit is used for controlling an energy supply switch of the classroom so as to control the energy supply of the classroom.
In conclusion, compared with the prior art, the invention has the following beneficial effects:
according to the energy management method for colleges and universities based on the Internet of things technology, disclosed by the invention, the purpose of energy saving is achieved by reducing energy supply for classrooms which are not in the classroom use plan through acquiring course arrangement, classroom arrangement and estimating the number of teachers and students who perform activities such as self-study and the like and then generating the classroom use plan based on the acquired data, and the effect of perfecting energy saving measures of colleges and universities is achieved.
Drawings
Fig. 1 is a schematic diagram of an application environment of the energy management method for colleges and universities based on the internet of things technology disclosed in the present invention.
Fig. 2 is a flow chart of the energy management method for colleges and universities based on the internet of things technology disclosed by the invention.
Fig. 3 is a flow chart of one subprogram of the energy management method for colleges and universities based on the internet of things technology disclosed by the invention.
Fig. 4 is a flow chart of another subprogram of the energy management method for colleges and universities based on the internet of things technology disclosed in the present invention.
Fig. 5 is a block flow diagram of another subprogram of the energy management method for colleges and universities based on the internet of things technology disclosed in the present invention.
Fig. 6 is a block flow diagram of another subprogram of the energy management method for colleges and universities based on the internet of things technology disclosed in the present invention.
Fig. 7 is a block diagram of an energy management system of a college based on the internet of things technology.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments, and all other embodiments obtained by a person of ordinary skill in the art without creative efforts based on the embodiments of the present invention belong to the protection scope of the present invention.
At present, in energy management of colleges and universities, energy-saving measures still exist in imperfect places, energy-saving measures of colleges and universities generally adopt some energy-saving products, meanwhile, teachers and students are conscious, and workers timely close power and water utilization equipment, and the energy-saving mode has great waste, for example, lamps, air conditioners, heating systems and the like can still be turned on in classrooms without one person, or one or two persons in many classrooms can learn themselves, so that the problem of unreasonable utilization of the classrooms exists, based on the above problems, the embodiment of the invention discloses a college energy management method and a system based on the internet of things technology, wherein the college energy management method obtains arrangement of the classrooms through an internet of things device, obtains the number of first persons staying in a teaching building, such as students who learn oneself, teachers who organize activities and the like, and then the first person arranges fixed freedom in the classrooms, for the classrooms which are not arranged, the energy-saving effect is achieved by adopting the mode of reducing or no supplying energy.
As shown in fig. 1, in the energy management method and system for a college based on internet of things disclosed in the embodiment of the present invention, the number of first people in the past year is obtained through the acquisition end 1, and the course arrangement and the classroom use application are obtained through the educational administration system arranged on the educational administration system server 2, so as to obtain the use condition of the classroom in the same day, then the number of first people in the same day is estimated according to the number of first people in the past year, a free classroom is added according to the estimated number of first people for the first people to use, so as to generate a classroom use plan, and for the outdoor classroom, the energy saving purpose is achieved by adopting a reduced energy supply mode through the execution end 4;
the college energy management method and system based on the internet of things technology disclosed by the embodiment of the invention are hosted in a management server 3, the management server 3 is electrically connected with an acquisition end 1, a educational system server 2 and an execution end 4 through an Ethernet, the Ethernet plays a role in data transmission, and the Ethernet can be a wired network or a wireless network, such as a local area network consisting of twisted-pair lines, switches, wireless routers and the like;
preferably, when the classroom use plan is generated, the classroom use plan needs to be published in the educational administration system, and then published through the visual intelligent terminal 5 for the teachers and students to inquire the arrangement of free classrooms, wherein the visual intelligent terminal 5 can be a notebook computer, a display screen located in a teaching building or other inquiry equipment connected with the educational administration system server 2;
the execution end 4 may be a control program or hardware, such as an intelligent air switch, an intelligent air conditioner switch, an intelligent water valve, and the like, and is used for controlling lighting, heating, cooling, and the like in a classroom.
Example 1
As shown in fig. 2, an embodiment of the present invention provides a college energy management method based on internet of things technology, including the following steps:
s100, obtaining course arrangement on the day, classroom use application on the day and first person pre-estimation, wherein the first person is a person who stays in a teaching building after excluding students and teachers needing to go to class;
specifically, in this step, the lesson arrangement and the classroom use application on the same day are acquired by connecting the educational administration system server 2 through the ethernet, wherein the lesson arrangement is acquired from the teaching plan in the educational administration system, and is used for acquiring the number and the position of the classroom used for teaching on the same day, and the classroom used for teaching is in a normal power supply state on the same day;
the classroom in the classroom use application of the day refers to a classroom used for acquiring a school group or other organization for activities, some activities in the teaching group need to be prepared in the classroom, for example, activities such as meeting of students for new interviews, meeting of students or recruitment and the like which need to be used in the classroom, the activities need to be applied in advance in a educational administration system, and the classroom used in the day which is approved is in a normal energy supply state when in use;
the first person mainly refers to a teacher or student who self-learns or other teachers or students who are not registered in a case and need a classroom, in colleges and universities, part of students can use the vacant classroom to self-learn, therefore, when the classroom is provided, part of the classroom needs to be reserved for the use of the persons, but the number of the first person needs to be estimated because the persons can not be counted before the arrangement of the classroom;
as a preferred implementation manner in this embodiment, as shown in fig. 3, the method for obtaining the first estimated person amount includes the following steps:
step S110, acquiring a current date and a prediction function, wherein the prediction function is a function model based on the date as an independent variable and a first person related variable as a dependent variable;
step S120, acquiring a first person prediction quantity based on the date of the day and a prediction function;
specifically, in this embodiment, the estimated amount of the first person is obtained by introducing a prediction function, where an argument of the prediction function is a date, such as monday of the first week, tuesday of the first week, or monday, tuesday, etc.; the dependent variable of the prediction function is a first person related variable, such as a first person estimated quantity and an estimated quantity of a school population occupied by the first person;
preferably, the argument of the prediction function is set to the circumference X of the XX axis in a manner consistent with the teaching plan;
illustratively, the prediction function is set to
Figure 961156DEST_PATH_IMAGE006
Then the first person-related variable is given by equation (2):
Figure 621945DEST_PATH_IMAGE008
equation (2);
wherein B represents a first person-related variable,
Figure 374000DEST_PATH_IMAGE010
represents a date, such as 1012, wherein the first digit "1" in "1012" represents the first school date, "1012" the middle two digits "01" represents the 1 st week of study, "1012" the last digit "2" represents tuesday;
obtaining a first person related variable by taking a prediction function after the current date is obtained, and then obtaining a first person estimated quantity according to the relation between the first person related variable and the first person estimated quantity;
in some examples, the first person prediction is given by equation (3):
Figure 654852DEST_PATH_IMAGE012
equation (3);
wherein B represents a first person-related variable, C represents a first person pre-estimate,
Figure 859568DEST_PATH_IMAGE014
a relationship function representing a first person-related variable versus a first person pre-estimate.
As a preferred embodiment of this embodiment, as shown in fig. 4, the method for generating the prediction function includes the following steps:
s111, acquiring the number of first persons in different dates in the last school year, and generating a first number set;
step S112, generating a prediction function through a function fitting method based on elements in the first number set, wherein the independent variable of the prediction function is date, and the dependent variable of the prediction function is the number of the first persons;
specifically, in the present embodiment, the collection terminal 1 collects the number of first persons in different dates in the last school year to generate a first number set, wherein the elements in the first number set are arranged according to the dates, for example, the first digit is the monday of the first week of the first school date, the second element is the tuesday of the first week of the first school date, and so on;
importing elements in the first number set into MATLAB, fitting a first function through a function fitting method, wherein an independent variable of the first function is date, a dependent variable is first person prediction quantity, the function is a prediction function, and the first person prediction quantity can be obtained by inputting the date of the day into the prediction function;
in some examples, the number of first persons in different dates in the last school year is obtained through the collecting terminal 1, for example, the number of teachers and students who stay in classrooms not in the teaching plan of the current day and not in the application for classroom use for more than a preset time is counted every day, and the number is the first person number;
it should be noted that, during the statistics, the statistics in one day are divided into the morning and the afternoon, and during the statistics, the number with the largest number of people is taken as the main point;
in some examples, the collecting terminal 1 is a face recognition camera, and the number of teachers and students staying for more than a preset time is counted by counting the personnel entering and leaving the classroom, and meanwhile, the collecting terminal 1 can also play a role of a monitoring device;
the acquisition terminal 1 can also be control software of a monitoring camera in a teaching building, and acquires the number of teachers and students staying for more than a preset time in a personnel identification mode;
further, in this embodiment, the method for obtaining the first estimated person further includes the following steps:
step S120, acquiring the first number of people in the last day, and recording as y 1;
step S130, acquiring a first person number corresponding to the date of the previous day in the first number set, and recording the first person number as y 2;
step S140, replacing y2 with y1 to generate a second number set;
s150, generating a prediction function by a function fitting method based on elements in the second number set;
specifically, a second number set is formed by replacing the first number of people on the previous day with the first number of people on the same date in the first number set, and then the second number set is fitted to a new prediction function;
in this embodiment, since the prediction function is a function formed by the number of first people per day in the last school year, and the number of students and students in each school year changes, the prediction function is more accurate by replacing the number of first people counted in the school year with the number of first people in the same period;
illustratively, the first number set is (
Figure 448681DEST_PATH_IMAGE016
) Corresponding to the number of first persons in the last school year;
Figure 648719DEST_PATH_IMAGE018
the first number is the number of the first person counted on the first day of the study, the second number set is (A)
Figure 48607DEST_PATH_IMAGE020
)。
As another preferred embodiment in this embodiment, for example, as shown in fig. 5, the method for generating the prediction function may further include the following steps:
step S113, acquiring the number of first persons in different dates and the total number of the school in the last school year, acquiring the proportion of the first persons in the different dates to the total number of the school based on the number of the first persons in the different dates and the total number of the school, and generating a third number set;
step S114, generating a prediction function by a function fitting method based on elements in the third number set, wherein the independent variable of the prediction function is date, and the dependent variable of the prediction function is prediction proportion;
in the embodiment, the collection end 1 collects the number of first persons in different dates in the last school year, calculates the proportion of the number of the first persons to the general population of the school, and generates a third number set by the calculated proportion, wherein the elements in the third number set are arranged according to the dates, for example, the first element is the Monday of the first week of the first school term, the second element is the Tuesday of the first week of the first school term, and the like;
illustratively, the number of first persons collected on the first day of the first week of the first school date of the last school year is
Figure 334095DEST_PATH_IMAGE022
The number of the first persons collected on the second day of the first week of the first school date of the last school year is
Figure 726899DEST_PATH_IMAGE024
School population is
Figure 781443DEST_PATH_IMAGE026
Then the third number set is (
Figure 414549DEST_PATH_IMAGE028
);
Introducing elements in the third number set into MATLAB, fitting a second function by a function fitting method, wherein the independent variable of the second function is the date, the dependent variable is the proportion of the first person to the school general population, the function is a prediction function, and the estimated proportion of the first person can be obtained by inputting the date of the day into the prediction function;
illustratively, the estimated proportion of the first day of the first week of the first school stage of the school year is
Figure 311967DEST_PATH_IMAGE030
And the school population is W, the first person is estimated as
Figure 118249DEST_PATH_IMAGE032
The number of school headings is different in each year in colleges, and the number of first persons is estimated by obtaining the proportion of the first persons to the number of the school headings through introducing the number of the colleges, so that the estimation precision is improved;
preferably, in this embodiment, the method for obtaining the first estimated person further includes the following steps:
s160, acquiring the proportion of the number of first persons to the total number of persons in the school of the school year on the previous day, and recording the proportion as a first proportion;
s170, acquiring the proportion of the number of first persons corresponding to the date of the last day in the third number set to the total number of the school in the school year, and recording the proportion as a second proportion;
step S180, replacing the second proportion in the third number set with the first proportion to generate a fourth number set;
and step S190, generating a new prediction function through a function fitting method based on the numerical values in the fourth number set.
Illustratively, the third number set is: (
Figure 168245DEST_PATH_IMAGE034
) The proportion of the number of first personnel in each day of the last school year to the total population of the school is determined;
Figure DEST_PATH_IMAGE036
the number of the first person counted on the first day of the school year, the general population of the school is W, and the fourth number set is (A)
Figure DEST_PATH_IMAGE038
Figure DEST_PATH_IMAGE040
) The prediction function is generated based on the fourth set of numbers.
Step S200, generating a classroom use plan of the day based on course arrangement, classroom use application and first person pre-estimation;
specifically, in the present embodiment, the classroom use plan of the current day includes:
the classroom of giving lessons, the classroom that the course arrangement needs to use on the same day;
specifically, in the teaching plan, the classroom used for the teaching on the day, for example, in the teaching plan, the 205 room of the teaching building No. 1 is used for teaching of "mechanical principle" in the teaching plan on the day, and then the 205 room of the teaching building No. 1 is classified as a teaching classroom in the classroom use plan on the day, and the classroom is normally powered on the day;
a live classroom, a classroom that has passed through as needed on the day in the classroom use application;
specifically, in the educational administration system, the students have activities with fixed time such as activities, recruits, classrooms and the like, and need to apply for classrooms, apply for using the classrooms in the educational administration system, acquire the classrooms through the educational administration system, and when a classroom use plan of the day is generated, the classrooms are classified as the activity classrooms,
a free classroom for a classroom used by a first person;
specifically, as shown in fig. 6, the number of free classrooms is obtained by the following method:
s210, acquiring the maximum number of people in other classrooms except for a teaching classroom and a movable classroom in the teaching building;
s220, acquiring the average classroom holding number based on the maximum holding number and the preset holding proportion of other classrooms, and acquiring the number of free classrooms based on the first person estimated in advance and the average classroom holding number;
the number of free classrooms is obtained by formula (1):
Figure DEST_PATH_IMAGE042
formula (1);
wherein a represents the number of free classrooms;
in the embodiment, the maximum number of persons in each classroom is firstly acquired, in the embodiment, the maximum number of persons in each classroom is pre-stored in the database by a manager, and the data in the database is called during acquisition;
the other classrooms refer to unused classrooms which are not used as an activity classroom and a teaching classroom in the teaching building, when a free classroom is arranged, the containing proportion of the classrooms is preset, and the average containing number of the classrooms is obtained, for example, the maximum containing number of the No. 1 teaching building 205 room is 70, the preset proportion is 50%, the average containing number of the No. 1 teaching building 205 room is 30, and when the free classroom is arranged, 30 first persons are arranged in the No. 1 teaching building 205 room;
preferably, when the free classroom is arranged, the classrooms beside the live classroom and the lecture classroom are preferably arranged, the selection method is that each classroom is numbered, and when the absolute value of the difference between the number of the unused classroom and the number of the live lecture classroom of the live classroom is smaller than a preset value, the classroom is selected as the free classroom;
this kind of selection mode can the waste of energy saving to the classroom that needs the heating, the reason lies in during the heating, the wall in classroom can conduct the heat in the classroom, when two adjacent classrooms heat simultaneously, because the adjacent classroom difference in temperature is less, therefore the wall conduction heat between two classrooms is less, and when heating one in adjacent classroom does not heat or reduces the heating, the heat in the classroom that the temperature is high can conduct to the classroom that the temperature is low in, because the classroom that the temperature is low does not use, this waste that has just caused the heating energy.
And S300, supplying energy to the classrooms based on the current classroom use plan, and reducing classroom energy supply in the non-classroom use plan.
Specifically, for classrooms which are not in a classroom use plan, the power supply is cut off to reduce the consumption of air conditioners or electric energy, the heating is reduced to reduce the consumption of heating energy, or the electronic lock is controlled to lock a door to prevent teachers and students from entering the classroom; the first person is forced into the classroom within the classroom use plan.
Example 2
As a further embodiment of the present invention, this embodiment is different from embodiment 1 in that the college energy management method further includes:
s400, publishing a classroom use plan to facilitate school staff to use a classroom;
in the embodiment, the classroom use plan generated on the current day is output to the educational administration system for teachers and students to inquire the classroom arrangement on the current day;
in some examples, the teacher may also be in front of the teaching building by displaying the screen hours for the teacher and student to intuitively know the classroom available today.
Example 3
The invention also discloses an energy management system of colleges and universities, as shown in fig. 7, the system 500 includes:
the acquiring unit 501 is used for acquiring the course arrangement of the day, the application for the classroom use of the day and the number of people going in and out of the teaching building;
an estimating unit 503, configured to obtain a first estimated person;
a control unit 503 for generating a classroom use plan for the day;
an execution unit 504 for controlling an energy supply switch of a classroom to control energy supply of the classroom;
specifically, in the present invention, the obtaining unit 501 may be a program, for example, connected to the educational administration system server 2 through a control network hardware, and then obtains the course arrangement and the classroom use application of the current day from the educational administration system server 2, and the obtaining unit 501 further includes a collecting program, configured to obtain the number of the first person entering the classroom through a monitoring device disposed in the classroom;
the acquiring unit 501 may also be a piece of hardware, such as a monitoring device disposed in a classroom, a server provided with a program, and the like;
the obtaining unit 501 sends the obtained course arrangement of the current day, the application for the classroom use of the current day, and the number of people who pass in and out of the teaching building to the control unit 503 and the estimating unit 502;
the estimation unit 502 may be a server or an algorithm, and the algorithm is capable of obtaining a first estimated person according to the current date when executed;
the control unit 503 generates a classroom use plan of the current day based on the course arrangement of the current day, the classroom use application of the current day and the first person pre-estimation obtained by the estimation unit 502; and sends control instructions to the execution unit 504 via the classroom use plan of the day;
the execution unit 504 can be an intelligent switch, an intelligent controller, a control program of an intelligent water valve, and can also be an intelligent switch, an intelligent controller, an intelligent water valve, and is used for controlling the energy supply of a classroom;
the execution unit 504 may also be an electronic lock for locking a classroom;
as a preferred implementation manner in this embodiment, the system 500 further includes:
a visualization unit 505 for displaying the classroom use plan of the current day;
in some examples, the visualization unit 505 is an intelligent display screen, and the visualization unit 505 is electrically connected to the educational administration system server 2 through an ethernet network.
Example 3
The invention also discloses a computer program stored in the computer program, and when the computer program is executed by a processor, the processor is enabled to execute the college energy management method described in embodiment 1 or embodiment 2.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data.
Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable media does not include non-transitory computer-readable media (transient-media), such as modulated data signals and carrier waves.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.

Claims (9)

1. A college energy management method based on the Internet of things technology is characterized by comprising the following steps:
acquiring course arrangement on the day, classroom use application on the day and estimated amount of a first person, wherein the first person is a person who stays in a teaching building after excluding students and teachers needing to go to class;
generating a classroom usage plan of the current day based on the course schedule, the classroom usage application, and the first person pre-assessment;
providing energy to the classrooms based on the current classroom use plan while reducing classroom energy in non-classroom use plans;
the method for acquiring the first person estimated quantity comprises the following steps:
acquiring a current date and a prediction function, wherein the prediction function is a function model based on the date as an independent variable and a first person related variable as a dependent variable;
a first person prediction amount is obtained based on the date of the day and a prediction function.
2. The energy management method for the colleges based on the technology of the internet of things according to claim 1, wherein the generation method of the prediction function comprises the following steps:
acquiring the number of first persons in different dates in the last school year, and generating a first number set;
and generating a prediction function by a function fitting method based on the elements in the first number set, wherein the independent variable of the prediction function is the date, and the dependent variable of the prediction function is the number of the first persons.
3. The energy management method for the colleges and universities based on the technology of the internet of things according to claim 2, wherein the obtaining method of the first person pre-estimation comprises the following steps:
acquiring the first number of people in the previous day, and recording as y 1;
acquiring a first person number corresponding to the date of the last day in the first number set, and recording the first person number as y 2;
replacing y2 with y1 generates a second number set;
a prediction function is generated by a function fitting method based on elements in the second number set.
4. The energy management method for the colleges based on the technology of the internet of things according to claim 1, wherein the generation method of the prediction function comprises the following steps:
acquiring the number of first persons in different dates and the total number of the school in the last school year, acquiring the proportion of the first persons in the different dates to the total number of the school based on the number of the first persons in the different dates and the total number of the school, and generating a third number set;
and generating a prediction function by a function fitting method based on the elements in the third number set, wherein the independent variable of the prediction function is date, and the dependent variable of the prediction function is prediction proportion.
5. The energy management method for colleges and universities based on internet of things technology according to claim 4, wherein the obtaining method of the first person pre-estimation further comprises the following steps:
acquiring the proportion of the number of first persons in the school year on the last day, and recording as a first proportion;
acquiring the proportion of the number of first persons corresponding to the date of the last day in the third number set to the total number of the school in the school year, and recording the proportion as a second proportion;
replacing the second proportion in the third number set with the first proportion to generate a fourth number set;
and generating a new prediction function by a function fitting method based on the numerical values in the fourth number set.
6. The energy management method for colleges and universities based on internet of things technology as claimed in claim 1, wherein the classroom use plan of the day includes:
the classroom of giving lessons, the classroom that the course arrangement needs to use on the same day;
a live classroom, a classroom that has passed through as needed on the day in the classroom use application;
a free classroom for a classroom used by a first person.
7. The energy management method for colleges based on internet of things as claimed in claim 6, wherein the number of free classrooms is obtained by:
acquiring the maximum number of people in other classrooms except teaching classrooms and activity classrooms in the teaching building;
acquiring the average number of persons in the classroom based on the maximum number of persons in other classrooms and the preset accommodation proportion, and acquiring the number of free classrooms based on the first person estimated in advance and the average number of persons in the classroom; wherein the content of the first and second substances,
the number of free classrooms is obtained by formula (1):
Figure 342556DEST_PATH_IMAGE002
formula (1);
where a represents the number of free classrooms.
8. The energy management method for colleges and universities based on internet of things technology according to claim 1, further comprising the following steps:
a classroom use plan is published to facilitate use of the classroom by school personnel.
9. A college energy management system capable of implementing the energy management method based on the Internet of things technology according to any one of claims 1 to 8, comprising:
the acquisition unit is used for acquiring course arrangement on the day, classroom application on the day and the number of people who pass in and out of a teaching building;
the estimating unit is used for acquiring a first person estimated quantity;
a control unit for generating a classroom use plan of the day;
and the execution unit is used for controlling an energy supply switch of the classroom so as to control the energy supply of the classroom.
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