CN113689058B - Dormitory management system and method based on smart campus - Google Patents
Dormitory management system and method based on smart campus Download PDFInfo
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Abstract
The invention discloses a dormitory management system based on a smart campus, which comprises an initial acquisition terminal, a personnel information acquisition module, a synchronous stay analysis module, a personnel additional interference module, an environment quantitative evaluation module, a state prediction analysis module and a data management platform, by intelligently managing the campus dormitory environment, according to the number of people staying in the dormitory synchronously and the internal and external environmental parameters of the dormitory, the dormitory is screened in an air purification mode, the rotating speed of the fan can be regulated and controlled according to the conditions of the internal environment and the external environment of the dormitory and the like, with the realization to the intelligent management and control of dormitory environment, can realize the effective utilization of the energy when guaranteeing that the fan rotational speed can optimize campus dormitory internal environment, improved the intelligence and the travelling comfort of dormitory environmental management greatly, provide good living environment for the student.
Description
Technical Field
The invention belongs to the technical field of intelligent campus management, and particularly relates to a dormitory management system and a dormitory management method based on an intelligent campus.
Background
Campus dormitory is the place that the student provided the rest for the student after study, and the dormitory is personnel intensive place, also is the place of the time of student treating every day for a long time, in case the dormitory environment quality is not good, can influence all students ' of living in the dormitory health, especially to spring and autumn, easily cause infectious diseases such as influenza, if be in the not ventilation state for a long time in the dormitory will lead to the dormitory air circulation poor, and easily cause student's in the dormitory sick probability, can't provide comfortable dormitory environment for the student.
Many schools have increaseed the personal safety and the management of property safety to the students ' dormitory, but do not carry out intelligent management to the environment in the dormitory, partial school dormitory is installed the fan and is carried out the replacement of indoor outer air, there is the fan and lasts the extravagant energy of work, in addition, there is the not ventilation scheduling problem of long term in the dormitory, whether ventilation of current dormitory only depends on the people to judge, can't carry out intelligent ventilation degree's management and control according to the pollution that personnel quantity actually produced in dormitory internal and external environment parameter and the dormitory, lead to dormitory environmental comfort poor, for intelligent and the travelling comfort that has improved dormitory environmental management, adopt this system scheme can improve.
Disclosure of Invention
The invention aims to provide a dormitory management system based on a smart campus, which solves the problems in the student dormitory environment management process in the background technology.
The purpose of the invention can be realized by the following technical scheme:
the dormitory management system based on the smart campus comprises an initial acquisition terminal, wherein the initial acquisition terminal comprises a plurality of indoor air quality acquisition units and an outdoor air quality acquisition unit, and the indoor air quality acquisition units and the outdoor air quality acquisition units are respectively used for detecting the carbon dioxide concentration, the carbon monoxide concentration, the temperature and humidity, the bacteria content and the odor concentration inside and outside the dormitory of students in real time;
the personnel information acquisition module carries out real-time statistics on the basic information of personnel entering and exiting the dormitory and sends the basic information of the personnel entering the dormitory to the synchronous stay analysis module;
the synchronous stay analysis module is used for extracting time points of each person entering and leaving the dormitory from the basic information of the person entering the dormitory, carrying out stay time length graph drawing on the collected time points of each person entering and leaving the dormitory, and analyzing the total number of the persons in the dormitory in a synchronous stay state and the synchronous stay time length corresponding to the total number of the persons staying synchronously according to the drawn time points of each person entering and leaving the dormitory and the stay time length;
the personnel additional interference module adopts a sample training model to analyze the dormitory environment under the state of synchronous stay time length of different personnel total numbers in the dormitory, obtains personnel additional environment interference proportion coefficients corresponding to synchronous stay of different personnel total numbers under the unit synchronous stay time length in the dormitory, extracts the personnel total numbers in the dormitory under the synchronous stay state and the synchronous stay time length corresponding to the synchronous stay personnel total number, adopts a personnel stay interference amount calculation formula to evaluate and analyze, and analyzes the stay interference influence coefficients of the additional personnel in the dormitory under the state of not ventilating the dormitory to the dormitory environment;
the environment quantitative evaluation module is used for extracting carbon dioxide concentration, carbon monoxide concentration, temperature and humidity, bacteria content and peculiar smell concentration inside and outside the dormitory of the students detected by the initial acquisition terminal, and performing ventilation quantitative evaluation on the extracted environment parameters inside and outside the dormitory by combining a ventilation optimization evaluation formula to acquire a to-be-ventilated quantitative coefficient of the environment inside the dormitory of the students under the current monitoring state;
the state prediction analysis module obtains the time length of the dormitory from the last ventilation, extracts the quantitative coefficient to be ventilated of the internal environment of the student dormitory in the current monitoring state, the number of the personnel staying in the dormitory at present and the stay interference influence coefficient of the time length of the stay of the personnel in the dormitory in the state of the dormitory when the dormitory is not ventilated in the process of the last ventilation, which are analyzed by the environment quantitative evaluation module, and analyzes the ventilation exchange to-be-controlled coefficient inside and outside the dormitory at present by combining with the ventilation intelligent prediction model
The ventilation intelligent prediction model is
E is a natural number, P is a to-be-ventilated quantization coefficient of the environment in the student dormitory,
expressed as a ventilation exchange factor corresponding to a unit to-be-ventilated quantitative coefficient, the value is 0.2715, W is expressed as a staying interference influence coefficient of additional personnel accumulated in the dormitory in a state that the dormitory is not ventilated to the dormitory environment,
is shown asAdding an environmental interference proportion coefficient to personnel corresponding to the total number of the personnel in the dormitory, wherein t represents the set unit synchronous stay time, and t1 is the interval time from the dormitory to the last ventilation;
data management platform extracts ventilation exchange to-be-managed coefficients inside and outside dormitory
And judging whether the ventilation exchange to-be-controlled coefficient is larger than a first threshold R of the indoor and outdoor ventilation exchange to-be-controlled coefficient, and if so, screening out the rotating speed corresponding to the first variable frequency fan mapped with the ventilation exchange to-be-controlled coefficient according to the ventilation exchange to-be-controlled coefficient.
Preferably, the people staying interference amount calculation formula
，
Expressed as the coefficient of influence of the cumulative stay disturbance of the additional people in the dormitory in the state of non-ventilation in the dormitory on the dormitory environment,
expressed as the area within the dormitory tested during the training of the sample,
expressed as the area of the dormitory to be analyzed,
expressed as the personnel additional environmental interference proportion coefficient corresponding to the total number of the ith personnel synchronously staying in the dormitory under the unit synchronous staying time length,
the total time is represented as the cumulative time of the synchronous stay corresponding to the ith personal staff of the synchronous stay in the dormitory, i =1,2The dwell time is synchronized.
Preferably, the personnel additional interference module analyzes the personnel additional environmental interference proportion coefficient corresponding to the synchronous stay state of different total personnel numbers in a unit synchronous stay time period by adopting a sample training model, and comprises the following training steps:
s1 dormitory area
For a test dormitory, acquiring initial environmental parameters in the dormitory when the dormitory is in an unventilated state;
s2, respectively detecting the environmental parameters of the dormitory in the state that the number of the persons in the dormitory is from 1 to m, under the condition that the unit stays synchronously for a long time, replacing different persons to ensure that the number of the persons in the dormitory is always under the same number, and repeatedly detecting the environmental parameters in the dormitory for f times under the number of the persons;
s3, comparing the environmental parameters in the step S2 with the initial environmental parameters one by one to obtain the average variable of each environmental parameter under repeated detection
K is equal to 1,2,3,4,5,6, expressed as carbon dioxide concentration, carbon monoxide concentration, temperature, humidity, bacteria content and odor concentration, respectively;
and S4, counting the personnel additional environmental interference proportion coefficient of the total number of each personnel in the unit synchronous stay time.
Preferably, the human-added environmental interference proportionality coefficient
，
The additional environmental interference proportion coefficient is expressed as the additional environmental interference proportion coefficient of the corresponding person with the total number of i persons in the dormitory,
expressed as the weight scaling factor corresponding to the kth environmental parameter,
，
expressed as the average variable corresponding to the kth environmental parameter in the dormitory when the total number of people in the dormitory is i,
，
expressed as a value corresponding to the kth environmental parameter in the dormitory when the total number of the personnel in the dormitory detected at the jth time is i,
expressed as an initial value corresponding to the kth environmental parameter in the dormitory when the total number of people in the dormitory is i,
expressed as the maximum value of the k-th environmental parameter allowed in the dormitory when the total number of people in the dormitory is i.
Preferably, the ventilation optimization evaluation formula is
And P represents a to-be-ventilated quantization coefficient of the environment in the students' dormitory,
expressed as the weight scaling factor corresponding to the kth environmental parameter,
expressed as the value corresponding to the kth environmental parameter in the dormitory,
expressed as the corresponding value of the kth environmental parameter outside the dormitory.
Preferably, the data management platform acquires the ventilation exchange to-be-managed coefficient inside and outside the dormitory in real time, acquires the personnel additional environmental interference proportion coefficient corresponding to the current personnel number in the dormitory in unit synchronous stay time, and selects the purification mode of the air in the dormitory according to the ventilation exchange to-be-managed coefficient inside and outside the dormitory and the personnel additional environmental interference proportion coefficient corresponding to the current personnel number in the dormitory, and adopts the selected purification mode to treat the air in the dormitory.
Preferably, the purification mode screening of the air in the dormitory comprises the following steps:
step 1, extracting ventilation exchange to-be-controlled coefficients inside and outside a dormitory, judging whether the ventilation exchange to-be-controlled coefficients inside and outside the dormitory are larger than a first threshold value R of an indoor and outdoor ventilation exchange to-be-controlled coefficient, if so, screening out a first fan rotating speed corresponding to the ventilation exchange to-be-controlled coefficient, carrying out indoor and outdoor ventilation, and accelerating indoor ventilation speed, otherwise, executing step 2;
step 2, judging whether the ventilation exchange to-be-controlled coefficient inside and outside the dormitory is smaller than or equal to a second threshold value D of the indoor and outdoor ventilation exchange to-be-controlled coefficient, wherein D is smaller than R, if so, no indoor and outdoor ventilation exchange is carried out, otherwise, executing the step 3;
step 3, adopting an indoor self-circulation purification mode, extracting personnel additional environment interference proportion coefficients corresponding to the quantity of the personnel in the current dormitory, and adopting an indoor self-circulation purification management and control formula
Counting the self-circulation ventilation exchange to-be-managed and controlled coefficient required by the personnel in the current dormitory
And screening out the rotating speed of the second variable frequency fan required in the indoor self-circulation process according to the self-circulation ventilation exchange to-be-controlled coefficient.
Preferably, the dormitory management method based on the smart campus comprises the following steps:
step D1, adopting sample training model to make people in dormitory totalAnalyzing the dormitory environment in the state of the synchronous stay time length under the number, and analyzing the personnel additional environment interference proportion coefficient corresponding to the total number of different personnel under the unit synchronous stay time length in the dormitory
，
Respectively representing the additional environmental interference proportion coefficients of the personnel corresponding to the personnel total number of 1, 2.. multidot.m;
d2, detecting the basic information of the people who enter and exit the dormitory, analyzing the basic information of the people who enter and exit the dormitory, and obtaining the total number of the people in the dormitory in the synchronous staying state and the synchronous staying time length corresponding to the total number of the people who stay synchronously;
d3, detecting environmental parameters inside and outside the dormitory in real time, evaluating the environmental parameters inside and outside the dormitory by adopting a ventilation optimization evaluation formula, and analyzing a to-be-ventilated quantitative coefficient reflecting the ventilation exchange degree required by air inside and outside the dormitory;
d4, extracting the additional environmental interference proportion coefficient of the personnel corresponding to the number of the personnel staying in the dormitory in the step D1, the number of the personnel staying in the dormitory in the step D2 and the quantitative coefficient to be ventilated in the step D3, and analyzing the ventilation exchange to-be-managed and controlled coefficient inside and outside the current dormitory by combining a ventilation intelligent prediction model;
and D5, comparing the ventilation exchange to-be-controlled coefficient with the first threshold value R and the second threshold value D of the indoor and outdoor ventilation exchange to-be-controlled coefficient respectively to screen the fan rotating speed required by indoor and outdoor ventilation corresponding to the ventilation exchange to-be-controlled coefficient.
The invention has the beneficial effects that:
according to the dormitory management system based on the intelligent campus, the interference degree of the dormitory environment by different numbers of people in the dormitory can be analyzed by analyzing the environmental parameters of the dormitory environment under the synchronous stay time of different numbers of people, so that when the number of people in the dormitory is constant, the additional environmental interference proportion coefficient of the people under the condition of different numbers of people in the dormitory can be conveniently and quickly acquired, and reliable data basis is provided for the calculation of the to-be-ventilated quantitative coefficient of the dormitory environment.
The quantitative coefficient of the to-be-ventilated of the internal environment of the dormitory of the students is obtained through evaluating and analyzing the internal and external environmental parameters of the dormitory, the emergency degree of ventilation exchange inside and outside the dormitory is analyzed by combining the number of the currently stopped personnel in the dormitory and the personnel additional environmental interference proportional coefficient corresponding to the number of the personnel, the urgency and the necessity of the ventilation inside and outside the dormitory can be reflected visually, and the indoor and outdoor ventilation data display is achieved.
The invention compares the ventilation exchange management and control coefficient with the first threshold value and the second threshold value of the indoor and outdoor ventilation exchange management and control coefficient respectively, the purification mode adopted by indoor ventilation is screened out, the rotating speed corresponding to the fan is screened out according to the ventilation exchange to-be-controlled coefficient, so as to purify the environment in the dormitory, facilitate the regulation and control of the rotating speed of the fan according to the number of the personnel in the dormitory and the dormitory environment, ensure that the rotating speed of the fan can optimize the environment in the campus dormitory and simultaneously realize the effective utilization of energy, avoid the continuous work of a fresh air system or the excessive personnel in the dormitory under the unmanned condition, the fan rotational speed among the new trend system is unchangeable, can't guarantee in the dormitory personnel produce with the pollution offset of new trend system emission, has improved dormitory environmental management's intellectuality and travelling comfort greatly, provides good living environment for the student.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to 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 of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Dormitory management system based on wisdom campus includes initial acquisition terminal, personnel information acquisition module, synchronous stay analysis module, personnel add interference module, environment quantization module, state prediction analysis module and data management platform.
The initial acquisition terminal comprises a plurality of indoor air quality acquisition units and an outdoor air quality acquisition unit, wherein each indoor air quality acquisition unit is respectively installed in each student dormitory, the carbon dioxide concentration, the carbon monoxide concentration, the temperature and humidity, the bacterial content and the peculiar smell concentration in the student dormitory are detected in real time, the outdoor air quality acquisition unit is installed outside the student dormitory, and the carbon dioxide concentration, the carbon monoxide concentration, the temperature and humidity, the bacterial content and the peculiar smell concentration outside the student dormitory are detected.
The indoor air quality acquisition unit and the outdoor air quality acquisition unit are acquisition equipment integrating various sensors, and each acquisition equipment comprises a carbon dioxide sensor, a carbon monoxide sensor, a temperature and humidity sensor, a bacteria detector, a gas sensor and the like.
The personnel information acquisition module carries out real-time statistics on the basic information of personnel entering and exiting the dormitory, and sends the basic information of the personnel entering the dormitory to the synchronous stay analysis module, wherein the basic information of the personnel entering the dormitory comprises the number of the personnel and the time points of the personnel entering and exiting the dormitory.
The synchronous stay analysis module is used for extracting time points of all the people entering and leaving the dormitory from the basic information of the people entering the dormitory, stay time length graphs are drawn for the collected time points of all the people entering and leaving the dormitory, the total number of the people in the dormitory in a synchronous stay state and the synchronous stay time length corresponding to the total number of the people staying synchronously are analyzed according to the drawn time points of all the people entering and leaving the dormitory, the number of the people in the synchronous stay state is at least larger than 2, namely the synchronous stay time lengths of the people in the dormitory under the condition that the total number of the people in the dormitory is 2-m are respectively counted, and when the total number of the people in the dormitory is 3, the accumulated time length corresponding to the total number of the people in the dormitory which is 3 is kept is counted.
When the number of the people in the dormitory is m (m is more than or equal to 1), counting the synchronous stay time of the total number of the people in the dormitory when the number of the people is m, marking the synchronous stay time as Tm, counting the synchronous stay time of the total number of the people in the dormitory when the number of the people is m-1, marking the synchronous stay time as T (m-1), and repeating until m-1 is equal to 0.
The monitored duration of the synchronous stay of the people in the dormitory is the statistics of the duration of the synchronous stay of the total number of different people in the dormitory when the dormitory is in an unventilated state, namely the doors and the windows are closed and the fresh air system is in a closed state.
The personnel additional interference module adopts a sample training model to analyze the dormitory environment under the state of synchronous stay time length of different personnel total numbers in the dormitory, and obtains personnel additional environment interference proportion coefficients corresponding to synchronous stay of different personnel total numbers under the unit synchronous stay time length in the dormitory
And receiving the total number of the staff in the dormitory in the synchronous stay state and the synchronous stay time length corresponding to the total number of the staff staying synchronously, which are sent by the synchronous stay analysis module, evaluating and analyzing the personnel additional environment interference proportion coefficient corresponding to the total number of different staff in the dormitory under the unit synchronous stay time length in the dormitory and the synchronous stay time length of the total number of different staff in the dormitory by adopting a staff stay interference amount calculation formula, and analyzing the stay interference influence coefficient of the additional staff in the dormitory to the dormitory environment under the state that the dormitory is not ventilated, wherein the staff stay interference amount calculation formula
，
Expressed as the coefficient of influence of the cumulative stay disturbance of the additional people in the dormitory in the state of non-ventilation in the dormitory on the dormitory environment,
expressed as the area within the dormitory tested during the training of the sample,
expressed as the area of the dormitory to be analyzed,
expressed as the personnel additional environmental interference proportion coefficient corresponding to the total number of the ith personnel synchronously staying in the dormitory under the unit synchronous staying time length,
the total time of the synchronous stay is expressed as the cumulative time of the synchronous stay corresponding to the ith personal member of the synchronous stay in the dormitory, and i =1, 2.
Treat the interference condition to dormitory internal environment in the dormitory through different personnel quantity in the analysis dormitory, the environment that leads to in the dormitory receives the influence that personnel quantity changes, and the interference influence degree to the dormitory environment along with the increase of personnel quantity is big more, through the influence of training dormitory personnel quantity to dormitory internal environment parameter, the degree of the interference that different personnel quantity caused the dormitory environment in can accurate analysis go out the dormitory, be convenient for carry out the control of ventilation degree according to personnel quantity for the later stage.
The personnel additional interference module analyzes personnel additional environmental interference proportion coefficients corresponding to the situation that the total number of different personnel is in a synchronous stay state under the unit synchronous stay time by adopting a sample training model, and comprises the following training steps:
s1 dormitory area
For a test dormitory, acquiring initial environmental parameters in the dormitory when the dormitory is in an unventilated state;
s2, respectively detecting the environmental parameters of the dormitory in the state that the number of the persons in the dormitory is from 1 to m, under the condition that the unit stays synchronously for a long time, replacing different persons to ensure that the number of the persons in the dormitory is always under the same number, and repeatedly detecting the environmental parameters in the dormitory for f times under the number of the persons;
s3, comparing the environmental parameters in the step S2 with the initial environmental parameters one by one to obtain the average variable of each environmental parameter under repeated detection
K is equal to 1,2,3,4,5,6, expressed as carbon dioxide concentration, carbon monoxide concentration, temperature, humidity, bacteria content and odor concentration, respectively;
s4, counting the personnel additional environmental interference proportion coefficient of the total number of each personnel in the unit synchronous stay time
The additional environmental interference proportion coefficient is expressed as the additional environmental interference proportion coefficient of the corresponding person with the total number of i persons in the dormitory,
expressed as the weight scaling factor corresponding to the kth environmental parameter,
，
expressed as the average variable corresponding to the kth environmental parameter in the dormitory when the total number of people in the dormitory is i,
，
expressed as a value corresponding to the kth environmental parameter in the dormitory when the total number of the personnel in the dormitory detected at the jth time is i,
expressed as an initial value corresponding to the kth environmental parameter in the dormitory when the total number of people in the dormitory is i,
expressed as the maximum allowable kth environmental parameter in the dormitory when the total number of people in the dormitory is iNumerical values.
The interference degree of the number of the staff in the dormitory to the dormitory environment can be simulated by adopting the sample training model, the staff additional environment interference proportion coefficient under different conditions of the number of the staff in the dormitory can be conveniently and quickly acquired, and then reliable data basis is provided for the calculation of the to-be-ventilated quantization coefficient of the environment in the dormitory of students.
The environment quantification evaluation module is used for extracting the carbon dioxide concentration in and outside the student dormitory detected by the initial acquisition terminal, the carbon monoxide concentration, the temperature and humidity, the bacteria content and the peculiar smell concentration, and the ventilation quantification evaluation is carried out on the extracted dormitory internal and external environment parameters by combining the ventilation optimization evaluation formula, so as to obtain the to-be-ventilated quantification coefficient of the environment in the student dormitory under the current monitoring state, the to-be-ventilated quantification coefficient is used for reflecting the degree of ventilation exchange of indoor and outdoor air, the larger the to-be-ventilated quantification coefficient is, the larger the emergency degree of indoor and outdoor environment air exchange is indicated to be, the indoor and outdoor environment ventilation exchange degree can be evaluated by carrying out contrastive analysis on the environment parameter values inside and outside the dormitory, and the quantification display of the to-be-ventilated degree is realized.
The ventilation optimization evaluation formula is
And P represents a to-be-ventilated quantization coefficient of the environment in the students' dormitory,
expressed as the weight scaling factor corresponding to the kth environmental parameter,
expressed as the value corresponding to the kth environmental parameter in the dormitory,
expressed as the corresponding value of the kth environmental parameter outside the dormitory.
The state prediction analysis module obtains the time t1 from the last ventilation of the dormitory and extracts the current monitoring analyzed by the environment quantitative evaluation moduleThe method comprises the steps of analyzing a coefficient of the dormitory internal environment to be ventilated, a coefficient of the dormitory environment to be ventilated, the number of persons staying in the dormitory at present and a coefficient of influence of stay interference on the dormitory environment caused by stay time of the persons in the dormitory when the dormitory is in a non-ventilated state away from the last ventilation process in the state, and analyzing a coefficient of the ventilation exchange to be managed and controlled inside and outside the dormitory at present by combining with a ventilation intelligent prediction model
The control time length T of the dormitory internal and external ventilation exchange control coefficient analyzed by the ventilation intelligent prediction model is the time length when all people in the dormitory stay in the dormitory and the ventilation exchange control coefficient reaches a first-level ventilation exchange control level V1 when the dormitory is in an unventilated state, namely when the control time length when the dormitory is continuously in an unventilated state is longer than the control time length T (when T1 is greater than T), the starting state prediction analysis module analyzes the current ventilation exchange control coefficient inside and outside the dormitory by adopting the ventilation intelligent prediction model.
Wherein the ventilation intelligent prediction model is
E is a natural number, P is a to-be-ventilated quantization coefficient of the environment in the student dormitory,
expressed as a ventilation exchange factor corresponding to a unit to-be-ventilated quantitative coefficient, the value is 0.2715, W is expressed as a staying interference influence coefficient of additional personnel accumulated in the dormitory in a state that the dormitory is not ventilated to the dormitory environment,
and the value is expressed as a personnel additional environment interference proportion coefficient corresponding to the total number of the personnel in the current dormitory, t is the set unit synchronous stay time, and t1 is the interval time of the dormitory from the last ventilation.
The ventilation exchange management and control coefficients are divided into different ventilation exchange management and control levels according to different numerical ranges, namely a first-level V1, a second-level V2, a third-level V3 and a fourth-level V4, wherein the ventilation exchange management and control levels at all levels correspond to specific ventilation exchange management and control coefficient ranges, and when the ventilation exchange management and control levels are larger, the corresponding ventilation exchange management and control coefficients are larger.
Data management platform extracts ventilation exchange to-be-managed coefficients inside and outside dormitory
Judging whether the ventilation exchange management and control coefficient is larger than a first threshold value R of an indoor and outdoor ventilation exchange management and control coefficient, if so, screening out the rotating speed corresponding to a first variable frequency fan mapped with the ventilation exchange management and control coefficient according to the ventilation exchange management and control coefficient so as to realize indoor and outdoor ventilation exchange on the environment in the dormitory to evacuate indoor dirty air and exchange outdoor fresh air into the dormitory so as to improve the environment of the dormitory, wherein the ventilation exchange management and control coefficient is used for expressing the degree of purifying the air in the dormitory by performing supplementary exchange on the turbid air generated by personnel in the dormitory and the air outside the dormitory, the ventilation exchange management and control coefficient range in the dormitory and the rotating speed of the fan are mapped with each other, namely different rotating speeds of the fan correspond to different ventilation exchange management and control coefficient ranges, and then guarantee that every ventilation exchange treats that the management and control coefficient all has corresponding fan rotational speed, when the ventilation exchange treats that the management and control coefficient is big more, required fan rotational speed is big more, and then the speed of indoor outer air exchange is fast more.
The data management platform treats the numerical value of management and control coefficient through the ventilation exchange inside and outside the dormitory and judges the fan rotational speed that can select the correspondence, realize the speed control to indoor outer air exchange, can combine the air pollution condition that personnel quantity and dormitory internal environment parameter brought in the current dormitory effectively to carry out intelligent control to fan rotational speed in the new trend system, can realize the effective utilization of the energy when guaranteeing to provide the best air environment for the dormitory personnel, when avoiding under the unmanned circumstances that the new trend system lasts work or the dormitory in personnel too much, fan rotational speed among the new trend system is unchangeable, can't guarantee in the dormitory personnel produce and offset with the pollution that the new trend system discharged, and then the dormitory environment is not good.
In addition, the data management platform acquires the ventilation exchange to-be-managed coefficient inside and outside the dormitory in real time, acquires the personnel additional environmental interference proportion coefficient corresponding to the current personnel number in the dormitory under the unit synchronous stay time, and selects the purification mode of the air in the dormitory according to the ventilation exchange to-be-managed coefficient inside and outside the dormitory and the personnel additional environmental interference proportion coefficient corresponding to the current personnel number in the dormitory, and optimizes the air in the dormitory by adopting the selected purification mode so as to meet the management and control of the dormitory environment.
Wherein, the purification mode screening of air in the dormitory includes following steps:
step 1, extracting ventilation exchange to-be-controlled coefficients inside and outside a dormitory, judging whether the ventilation exchange to-be-controlled coefficients inside and outside the dormitory are larger than a first threshold value R of an indoor and outdoor ventilation exchange to-be-controlled coefficient, if so, screening out a first fan rotating speed corresponding to the ventilation exchange to-be-controlled coefficient, carrying out indoor and outdoor ventilation, and accelerating indoor ventilation speed, otherwise, executing step 2;
step 2, judging whether the ventilation exchange to-be-controlled coefficient inside and outside the dormitory is smaller than or equal to a second threshold value D of the indoor and outdoor ventilation exchange to-be-controlled coefficient, wherein D is smaller than R, if so, no indoor and outdoor ventilation exchange is carried out, otherwise, executing the step 3;
step 3, adopting an indoor self-circulation purification mode, extracting personnel additional environment interference proportion coefficients corresponding to the quantity of the personnel in the current dormitory, and adopting an indoor self-circulation purification management and control formula
Counting the self-circulation ventilation exchange to-be-managed and controlled coefficient required by the personnel in the current dormitory
And screening out the rotating speed of the second variable frequency fan required in the indoor self-circulation process according to the self-circulation ventilation exchange to-be-controlled coefficient.
The ventilation exchange under the air circulation purification mode treats that management and control coefficient and indoor self-loopa in-process fan rotational speed map mutually, can discharge the muddy air that indoor personnel produced in real time with indoor self-loopa in-process fan in order to satisfy, it is too big to avoid self-loopa in-process fan rotational speed, lead to the energy extravagant, and fan rotational speed undersize, can't satisfy the demand of indoor number, wherein, the management and control coefficient scope is treated in the self-loopa ventilation exchange that the different rotational speeds of second frequency conversion fan correspond the difference, and then guarantee that every self-loopa ventilation exchange treats that the management and control coefficient all has corresponding fan rotational speed, treat when the management and control coefficient is big more when self-loopa ventilation exchange, required fan rotational speed is big more.
Treat the management and control coefficient through ventilating the exchange indoor outer, can select the air purification mode in the dormitory, the fan rotational speed of air purification simulation singleness and the purification process in avoiding the dormitory is fixed, can't carry out the screening of mode and fan rotational speed according to the actual air condition in the concrete dormitory, can provide best dormitory living environment for the student effectively, be favorable to the student physical and mental health, be convenient for provide comfortable rest environment.
The dormitory management method based on the smart campus comprises the following steps:
d1, analyzing the dormitory environment in the state of synchronous stay time length of different total personnel in the dormitory by adopting the sample training model, and analyzing the personnel additional environment interference proportion coefficient corresponding to the different total personnel in the unit synchronous stay time length in the dormitory
，
Respectively representing the additional environmental interference proportion coefficients of the personnel corresponding to the personnel total number of 1, 2.. multidot.m;
d2, detecting the basic information of the people who enter and exit the dormitory, analyzing the basic information of the people who enter and exit the dormitory, and obtaining the total number of the people in the dormitory in the synchronous staying state and the synchronous staying time length corresponding to the total number of the people who stay synchronously;
d3, detecting environmental parameters inside and outside the dormitory in real time, evaluating the environmental parameters inside and outside the dormitory by adopting a ventilation optimization evaluation formula, and analyzing a to-be-ventilated quantitative coefficient reflecting the ventilation exchange degree required by air inside and outside the dormitory;
d4, extracting the additional environmental interference proportion coefficient of the personnel corresponding to the number of the personnel staying in the dormitory in the step D1, the number of the personnel staying in the dormitory in the step D2 and the quantitative coefficient to be ventilated in the step D3, and analyzing the ventilation exchange to-be-managed and controlled coefficient inside and outside the current dormitory by combining a ventilation intelligent prediction model;
and D5, comparing the ventilation exchange to-be-controlled coefficient with the first threshold value R and the second threshold value D of the indoor and outdoor ventilation exchange to-be-controlled coefficient respectively to screen the fan rotating speed required by indoor and outdoor ventilation corresponding to the ventilation exchange to-be-controlled coefficient.
The foregoing is merely exemplary and illustrative of the principles of the present invention and various modifications, additions and substitutions of the specific embodiments described herein may be made by those skilled in the art without departing from the principles of the present invention or exceeding the scope of the claims set forth herein.
Claims (6)
1. Dormitory management system based on wisdom campus, its characterized in that: the system comprises an initial acquisition terminal, wherein the initial acquisition terminal comprises a plurality of indoor air quality acquisition units and an outdoor air quality acquisition unit, and the indoor air quality acquisition units and the outdoor air quality acquisition units are respectively used for detecting the carbon dioxide concentration, the carbon monoxide concentration, the temperature and humidity, the bacteria content and the odor concentration inside and outside a student dormitory in real time;
the personnel information acquisition module carries out real-time statistics on the basic information of personnel entering and exiting the dormitory and sends the basic information of the personnel entering the dormitory to the synchronous stay analysis module;
the synchronous stay analysis module is used for extracting time points of each person entering and leaving the dormitory from the basic information of the person entering the dormitory, carrying out stay time length graph drawing on the collected time points of each person entering and leaving the dormitory, and analyzing the total number of the persons in the dormitory in a synchronous stay state and the synchronous stay time length corresponding to the total number of the persons staying synchronously according to the drawn time points of each person entering and leaving the dormitory and the stay time length;
the personnel additional interference module adopts a sample training model to analyze the dormitory environment under the state of synchronous stay time length of different personnel total numbers in the dormitory, obtains the personnel additional environment interference proportion coefficient corresponding to synchronous stay of different personnel total numbers under the unit synchronous stay time length in the dormitory, evaluates and analyzes the personnel total number under the synchronous stay state in the dormitory and the synchronous stay time length corresponding to the synchronous stay personnel total number, adopts a personnel stay interference amount calculation formula to evaluate and analyze the stay interference influence coefficient of the additional personnel in the dormitory to the dormitory environment under the state of not ventilating the dormitory;
the personnel stay interference amount calculation formula
，
Expressed as the coefficient of influence of the cumulative stay disturbance of the additional people in the dormitory in the state of non-ventilation in the dormitory on the dormitory environment,
expressed as the area within the dormitory tested during the training of the sample,
expressed as the area of the dormitory to be analyzed,
the additional environmental interference proportion coefficient is expressed by the number of people corresponding to the total number of the ith person staying synchronously in the dormitory under the unit synchronous staying time length,
the total time is represented as the cumulative time of the synchronous stay corresponding to the ith personal staff of the synchronous stay in the dormitory, i =1,2Synchronizing the stay time;
the environment quantitative evaluation module is used for extracting carbon dioxide concentration, carbon monoxide concentration, temperature and humidity, bacteria content and peculiar smell concentration inside and outside the dormitory of the students detected by the initial acquisition terminal, and performing ventilation quantitative evaluation on the extracted environment parameters inside and outside the dormitory by combining a ventilation optimization evaluation formula to acquire a to-be-ventilated quantitative coefficient of the environment inside the dormitory of the students under the current monitoring state;
wherein the ventilation optimization evaluation formula is
And P represents a to-be-ventilated quantization coefficient of the environment in the students' dormitory,
expressed as the weight scaling factor corresponding to the kth environmental parameter,
expressed as the value corresponding to the kth environmental parameter in the dormitory,
expressing the value corresponding to the kth environmental parameter outside the dormitory;
the state prediction analysis module obtains the time length of the dormitory from the last ventilation, extracts the quantitative coefficient to be ventilated of the internal environment of the student dormitory in the current monitoring state, the number of the personnel staying in the dormitory at present and the stay interference influence coefficient of the time length of the stay of the personnel in the dormitory in the state of the dormitory when the dormitory is not ventilated in the process of the last ventilation, which are analyzed by the environment quantitative evaluation module, and analyzes the ventilation exchange to-be-controlled coefficient inside and outside the dormitory at present by combining with the ventilation intelligent prediction model
The ventilation intelligent prediction model is
E is a natural number, P is a to-be-ventilated quantization coefficient of the environment in the student dormitory,
expressed as a ventilation exchange factor corresponding to a unit to-be-ventilated quantitative coefficient, the value is 0.2715, W is expressed as a staying interference influence coefficient of additional personnel accumulated in the dormitory in a state that the dormitory is not ventilated to the dormitory environment,
the value is expressed as the personnel additional environment interference proportion coefficient corresponding to the total number of the personnel in the current dormitory, t is the set unit synchronous stay time length, and t1 is the interval time length between the dormitory and the last ventilation;
data management platform extracts ventilation exchange to-be-managed coefficients inside and outside dormitory
And judging whether the ventilation exchange to-be-controlled coefficient is larger than a first threshold R of the indoor and outdoor ventilation exchange to-be-controlled coefficient, and if so, screening out the rotating speed corresponding to the first variable frequency fan mapped with the ventilation exchange to-be-controlled coefficient according to the ventilation exchange to-be-controlled coefficient.
2. The wisdom campus-based dormitory management system of claim 1 wherein: the personnel additional interference module adopts a sample training model to analyze personnel additional environmental interference proportion coefficients corresponding to the situation that the total number of different personnel is in a synchronous stay state in unit synchronous stay time, and comprises the following training steps:
s1 dormitory area
For a test dormitory, acquiring initial environmental parameters in the dormitory when the dormitory is in an unventilated state;
s2, respectively detecting the environmental parameters of the dormitory in the state that the number of the persons in the dormitory is from 1 to m, under the condition that the unit stays synchronously for a long time, replacing different persons to ensure that the number of the persons in the dormitory is always under the same number, and repeatedly detecting the environmental parameters in the dormitory for f times under the number of the persons;
s3, comparing the environmental parameters in the step S2 with the initial environmental parameters one by one to obtain the average variable of each environmental parameter under repeated detection
K is equal to 1,2,3,4,5,6, expressed as carbon dioxide concentration, carbon monoxide concentration, temperature, humidity, bacteria content and odor concentration, respectively;
and S4, counting the personnel additional environmental interference proportion coefficient of the total number of each personnel in the unit synchronous stay time.
3. The wisdom campus-based dormitory management system of claim 1 wherein: the personnel additional environment interference proportionality coefficient
，
The additional environmental interference proportion coefficient is expressed as the additional environmental interference proportion coefficient of the corresponding person with the total number of i persons in the dormitory,
expressed as the weight scaling factor corresponding to the kth environmental parameter,
，
expressed as the average variable corresponding to the kth environmental parameter in the dormitory when the total number of people in the dormitory is i,
，
expressed as a value corresponding to the kth environmental parameter in the dormitory when the total number of the personnel in the dormitory detected at the jth time is i,
expressed as an initial value corresponding to the kth environmental parameter in the dormitory when the total number of people in the dormitory is i,
expressed as the maximum value of the k-th environmental parameter allowed in the dormitory when the total number of people in the dormitory is i.
4. The wisdom campus-based dormitory management system of claim 3 wherein: the data management platform acquires ventilation exchange inside and outside the dormitory in real time to treat management and control coefficients, acquires the personnel additional environmental interference proportion coefficient corresponding to the personnel quantity in the dormitory under the unit synchronous stay time, treats the management and control coefficients and the personnel additional environmental interference proportion coefficient corresponding to the personnel quantity in the dormitory according to the ventilation exchange inside and outside the dormitory, screens out the purification mode of the air in the dormitory, and adopts the screened purification mode to treat the air in the dormitory.
5. The wisdom campus-based dormitory management system of claim 4 wherein: the purification mode screening of air in dormitory includes the following steps:
step 1, extracting ventilation exchange to-be-controlled coefficients inside and outside a dormitory, judging whether the ventilation exchange to-be-controlled coefficients inside and outside the dormitory are larger than a first threshold value R of an indoor and outdoor ventilation exchange to-be-controlled coefficient, if so, screening out a first fan rotating speed corresponding to the ventilation exchange to-be-controlled coefficient, carrying out indoor and outdoor ventilation, and accelerating indoor ventilation speed, otherwise, executing step 2;
step 2, judging whether the ventilation exchange to-be-controlled coefficient inside and outside the dormitory is smaller than or equal to a second threshold value D of the indoor and outdoor ventilation exchange to-be-controlled coefficient, wherein D is smaller than R, if so, no indoor and outdoor ventilation exchange is carried out, otherwise, executing the step 3;
step 3, adopting an indoor self-circulation purification mode, extracting personnel additional environment interference proportion coefficients corresponding to the quantity of the personnel in the current dormitory, and adopting an indoor self-circulation purification management and control formula
Counting the self-circulation ventilation exchange to-be-managed and controlled coefficient required by the personnel in the current dormitory
And screening out the rotating speed of the second variable frequency fan required in the indoor self-circulation process according to the self-circulation ventilation exchange to-be-controlled coefficient.
6. The method for managing a dormitory management system based on a wisdom campus according to any of claims 1-5, comprising the steps of:
d1, analyzing the dormitory environment in the state of synchronous stay time length of different total personnel in the dormitory by adopting the sample training model, and analyzing the personnel additional environment interference proportion coefficient corresponding to the different total personnel in the unit synchronous stay time length in the dormitory
，
Respectively representing the additional environmental interference proportion coefficients of the personnel corresponding to the personnel total number of 1, 2.. multidot.m;
d2, detecting the basic information of the people who enter and exit the dormitory, analyzing the basic information of the people who enter and exit the dormitory, and obtaining the total number of the people in the dormitory in the synchronous staying state and the synchronous staying time length corresponding to the total number of the people who stay synchronously;
d3, detecting environmental parameters inside and outside the dormitory in real time, evaluating the environmental parameters inside and outside the dormitory by adopting a ventilation optimization evaluation formula, and analyzing a to-be-ventilated quantitative coefficient reflecting the ventilation exchange degree required by air inside and outside the dormitory;
d4, extracting the additional environmental interference proportion coefficient of the personnel corresponding to the number of the personnel staying in the dormitory in the step D1, the number of the personnel staying in the dormitory in the step D2 and the quantitative coefficient to be ventilated in the step D3, and analyzing the ventilation exchange to-be-managed and controlled coefficient inside and outside the current dormitory by combining a ventilation intelligent prediction model;
and D5, comparing the ventilation exchange to-be-controlled coefficient with the first threshold value R and the second threshold value D of the indoor and outdoor ventilation exchange to-be-controlled coefficient respectively to screen the fan rotating speed required by indoor and outdoor ventilation corresponding to the ventilation exchange to-be-controlled coefficient.
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Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101908086A (en) * | 2010-07-09 | 2010-12-08 | 上海理工大学 | Analysis method for digitally and dynamically simulating indoor wind environment of building |
| CN110555524A (en) * | 2019-07-24 | 2019-12-10 | 特斯联（北京）科技有限公司 | training sample data acquisition method and device based on indoor environment monitoring |
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| US5742516A (en) * | 1994-03-17 | 1998-04-21 | Olcerst; Robert | Indoor air quality and ventilation assessment monitoring device |
| KR20070017270A (en) * | 2005-08-06 | 2007-02-09 | 삼성전자주식회사 | Ventilating apparatus and control method thereof |
| CN205247439U (en) * | 2015-12-21 | 2016-05-18 | 南京信息工程大学 | Intelligence campus dormitory management system |
| CN110084915A (en) * | 2019-04-23 | 2019-08-02 | 安徽致远慧联电子科技有限公司 | The students' dormitory in-out management system and management method of Behavior-based control analysis |
| CN111336669B (en) * | 2020-03-12 | 2021-04-13 | 苏州大学 | Indoor air conditioner ventilation system based on model predictive control |
| CN111780320A (en) * | 2020-07-16 | 2020-10-16 | 韶关市诚湃新能源科技有限公司 | Indoor air ventilation system based on big data and data processing method |
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| CN110555524A (en) * | 2019-07-24 | 2019-12-10 | 特斯联（北京）科技有限公司 | training sample data acquisition method and device based on indoor environment monitoring |
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