CN117091233B - Edge cloud computing system of all-in-one machine - Google Patents
Edge cloud computing system of all-in-one machine Download PDFInfo
- Publication number
- CN117091233B CN117091233B CN202311077587.1A CN202311077587A CN117091233B CN 117091233 B CN117091233 B CN 117091233B CN 202311077587 A CN202311077587 A CN 202311077587A CN 117091233 B CN117091233 B CN 117091233B
- Authority
- CN
- China
- Prior art keywords
- room
- regulation
- fresh air
- target
- wind speed
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 230000005611 electricity Effects 0.000 claims abstract description 28
- 230000007613 environmental effect Effects 0.000 claims abstract description 17
- 238000011156 evaluation Methods 0.000 claims description 31
- 230000001105 regulatory effect Effects 0.000 claims description 29
- 238000004364 calculation method Methods 0.000 claims description 22
- 238000004458 analytical method Methods 0.000 claims description 19
- 238000000034 method Methods 0.000 claims description 19
- 230000008569 process Effects 0.000 claims description 13
- 238000012544 monitoring process Methods 0.000 claims description 9
- 238000012216 screening Methods 0.000 claims description 8
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims description 7
- 239000000428 dust Substances 0.000 claims description 7
- 239000003344 environmental pollutant Substances 0.000 claims description 7
- 229910052760 oxygen Inorganic materials 0.000 claims description 7
- 239000001301 oxygen Substances 0.000 claims description 7
- 231100000719 pollutant Toxicity 0.000 claims description 7
- 238000012937 correction Methods 0.000 claims description 5
- 230000009471 action Effects 0.000 claims description 3
- 230000007547 defect Effects 0.000 abstract description 4
- 230000004044 response Effects 0.000 abstract description 4
- 230000001143 conditioned effect Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical compound [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 229910002091 carbon monoxide Inorganic materials 0.000 description 1
- 239000000356 contaminant Substances 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- WSFSSNUMVMOOMR-NJFSPNSNSA-N methanone Chemical compound O=[14CH2] WSFSSNUMVMOOMR-NJFSPNSNSA-N 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
Classifications
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/0001—Control or safety arrangements for ventilation
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/52—Indication arrangements, e.g. displays
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/61—Control or safety arrangements characterised by user interfaces or communication using timers
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/64—Electronic processing using pre-stored data
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/65—Electronic processing for selecting an operating mode
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/70—Control systems characterised by their outputs; Constructional details thereof
- F24F11/72—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/70—Control systems characterised by their outputs; Constructional details thereof
- F24F11/72—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure
- F24F11/74—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure for controlling air flow rate or air velocity
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2110/00—Control inputs relating to air properties
- F24F2110/50—Air quality properties
- F24F2110/65—Concentration of specific substances or contaminants
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B30/00—Energy efficient heating, ventilation or air conditioning [HVAC]
- Y02B30/70—Efficient control or regulation technologies, e.g. for control of refrigerant flow, motor or heating
Landscapes
- Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Signal Processing (AREA)
- Physics & Mathematics (AREA)
- Fuzzy Systems (AREA)
- Mathematical Physics (AREA)
- Human Computer Interaction (AREA)
- Fluid Mechanics (AREA)
- Air Conditioning Control Device (AREA)
Abstract
The invention discloses an edge cloud computing system of an all-in-one machine, which relates to the technical field of edge computing, and classifies each room according to the check-in condition of each room in a hotel, and screens out each target regulation room according to the environmental information of each checked room, the environmental information of each checked room and the check-in duration, so that the target fresh air regulation wind speed corresponding to each target regulation room is analyzed according to the environmental information, the electricity consumption and the fresh air regulation error corresponding to each target regulation room, the defects in the prior art are overcome, intelligent fresh air control and management are realized, the delay of cloud computing and the response speed of subsequent control are effectively reduced, the control accuracy of a fresh air system in the subsequent room is ensured, the electricity consumption and the voltage consumption in the room are greatly reduced, and the housing experience and the comfort of a user are improved.
Description
Technical Field
The invention relates to the technical field of edge computing, in particular to an edge cloud computing system of an all-in-one machine.
Background
The edge cloud computing is used as a technology combining cloud computing and edge computing, can be applied to multiple fields and scenes, and when the edge and computing are applied to hotel fresh air system control, edge computing equipment is used as an intermediate node to process and analyze sensor data so as to realize real-time fresh air control and optimization.
The current hotel fresh air system control mostly uses a central server to manage a plurality of fresh air systems in a hotel, but each fresh air system is not provided with an edge server, so when sensor data in each room in the hotel are transmitted to the central server, data calculation is sequentially carried out, delay of cloud calculation and response speed of subsequent control cannot be effectively reduced, on one hand, when the current central server analyzes and controls the fresh air systems in different rooms, the current central server does not analyze according to the check-in condition of the room and the electricity consumption condition in the room, and further cannot reduce electricity consumption loss and electricity consumption force in the room, and also cannot improve house experience sense and comfort sense of a user, and on the other hand, when the current central server carries out fresh air system control, errors of the fresh air system in the room are not analyzed, and thus accuracy of the fresh air system control in the subsequent room cannot be guaranteed.
Disclosure of Invention
Aiming at the technical defects, the invention aims to provide an edge cloud computing system of an all-in-one machine.
In order to solve the technical problems, the invention adopts the following technical scheme: the invention provides an edge cloud computing system of an all-in-one machine, which comprises: the system comprises a room classification module, an edge server, a fresh air control module and an early warning terminal;
the room classification is used for acquiring check-in information corresponding to each room in a designated hotel at the current time point, and further dividing each room in the current time point into each checked-in room, each room to be checked-in room and each room without check-in room;
the edge server comprises an environment monitoring module, an electricity consumption information acquisition module, a fresh air accuracy analysis module, a fresh air control analysis module and a database;
the environment monitoring module is used for monitoring environment information corresponding to each entered room and each room to be entered in the current time point, acquiring environment information corresponding to each entered room and each room to be entered in the current time point, and further screening out each target regulation room;
the electricity consumption information acquisition module is used for acquiring the electricity consumption corresponding to each target regulation room in the current time point;
the fresh air accuracy analysis module is used for extracting regulation information corresponding to historical fresh air regulation of each target regulation room, and further analyzing fresh air regulation error evaluation coefficients corresponding to each target regulation room;
the fresh air control analysis module is used for analyzing the reference fresh air regulation and control wind speed corresponding to each target regulation and control room according to the environment information corresponding to each target regulation and control room, and further calculating the target fresh air regulation and control wind speed corresponding to each target regulation and control room according to the power consumption corresponding to each target regulation and control room and the fresh air regulation and control error evaluation coefficient corresponding to each target regulation and control room;
the fresh air control module is used for carrying out corresponding control based on the target fresh air regulation and control wind speed corresponding to each target regulation and control room.
The early warning terminal is used for judging the accurate condition of the fresh air regulation corresponding to each target regulation room according to the fresh air regulation error evaluation coefficient corresponding to each target regulation room, and carrying out early warning prompt when the fresh air regulation corresponding to a certain target regulation room is inaccurate.
Preferably, the screening out each target regulatory room is performed by the following specific screening process: substituting the environmental information of each occupied room in the current time point into an empty quality value calculation formula to calculate an empty quality value corresponding to each occupied room in the current time point, comparing the empty quality value corresponding to each occupied room with a preset empty quality value threshold, and taking the occupied room as a target regulation room if the empty quality value corresponding to a certain occupied room is smaller than the preset empty quality value threshold;
the method comprises the steps of performing a similar calculation to obtain an empty value corresponding to each to-be-checked room in a current time point, obtaining a to-be-checked duration corresponding to each to-be-checked room in the current time point, comparing the empty value corresponding to each to-be-checked room in the current time point with a preset empty value threshold, comparing the to-be-checked duration corresponding to each to-be-checked room in the current time point with a preset to-be-checked duration threshold, and taking a to-be-checked room as a target regulation room if the empty value corresponding to a certain to-be-checked room in the current time point is smaller than the preset empty value threshold and the to-be-checked duration corresponding to the to-be-checked room is smaller than the preset to-be-checked duration threshold; in this way, each target conditioned room is obtained.
Preferably, the regulation information comprises preset fresh air regulation wind speed, actual fresh air regulation wind speed, preset regulation air quality value and actual regulation air quality value.
Preferably, the analyzing the fresh air regulation error evaluation coefficient corresponding to each target regulation room specifically includes the following steps: respectively marking a preset fresh air regulation wind speed, an actual fresh air regulation wind speed, a preset regulation air quality value and an actual regulation air quality value corresponding to each time of history fresh air regulation of each target regulation room as、/>、/>、/>Wherein i represents the corresponding number of each target regulation room, i=1, 2. Once again, n is, t represents the number corresponding to each time of history fresh air regulation, t=1, 2. P;
according to the analysis formulaObtaining a fresh air regulation error evaluation coefficient corresponding to each target regulation room>Wherein->、/>Respectively set allowable fresh air regulation wind speed difference and allowable air quality value difference, and are->、/>Respectively setting weight factors corresponding to the fresh air regulation and control wind speed difference and the regulation and control air quality value difference, wherein p represents the historical fresh air regulation and control times,>and (5) evaluating a compensation factor corresponding to the coefficient for the set fresh air regulation error.
Preferably, the analyzing the reference fresh air regulation wind speed corresponding to each target regulation room comprises the following specific analysis process: according to the environment information corresponding to each target regulation room, obtaining an empty value corresponding to each target regulation room, obtaining a room standard empty value and a volume corresponding to each target regulation room from a database, and subtracting the empty value corresponding to each target regulation room from the room standard empty value to obtain an empty value to be regulated corresponding to each target regulation room;
comparing the air quality value to be regulated corresponding to each target regulation room with the reference fresh air regulation wind speed of each air quality value interval to be regulated corresponding to each volume stored in the database, if the volume corresponding to a certain target regulation room is the same as a certain volume stored in the database, comparing the air quality value to be regulated corresponding to the target regulation room with each air quality value interval to be regulated corresponding to the volume, and when the air quality value to be regulated corresponding to the target regulation room is within the air quality value interval to be regulated corresponding to the volume, taking the reference fresh air regulation wind speed of the air quality value interval to be regulated corresponding to the volume as the reference fresh air regulation wind speed corresponding to the target regulation room, thereby obtaining the reference fresh air regulation wind speed corresponding to each target regulation room.
Preferably, the calculating the target fresh air regulation wind speed corresponding to each target regulation room comprises the following specific calculating process: subtracting a set power consumption threshold value from the power consumption corresponding to each target regulation room to obtain allowable power consumption corresponding to each target regulation room, and comparing the reference fresh air regulation wind speed corresponding to each target regulation room with the reference power consumption corresponding to each reference fresh air regulation wind speed stored in the database to obtain reference power consumption corresponding to each target regulation room;
comparing the allowable power consumption corresponding to each target regulation room with the reference power consumption, if the allowable power consumption corresponding to a certain target regulation room is larger than or equal to the reference power consumption, marking the power consumption corresponding to the target regulation room as a1, and if the allowable power consumption corresponding to a certain target regulation room is smaller than the reference power consumption, calculating by a calculation formulaObtaining an applied movie factor a2 corresponding to the target regulated room, wherein Q and->Respectively representing the reference electricity consumption and the allowable electricity consumption corresponding to the target regulation room,/for>For the set reference power consumption difference, +.>A correction factor corresponding to the set film use factor; obtaining an action factor a corresponding to each target regulation room in the mode, wherein the value of a is a1 or a2;
substituting the reference fresh air regulation wind speed corresponding to each target regulation room into a target fresh air regulation wind speed calculation formula to calculate and obtain the target fresh air regulation wind speed corresponding to each target regulation room.
Preferably, the calculation formula of the target fresh air regulation wind speed is as follows:wherein->、/>Respectively representing the target fresh air regulation wind speed and the reference fresh air regulation wind speed corresponding to the ith target regulation room,/->Representing fresh air regulation error evaluation coefficient corresponding to the ith target regulation room,/for>And e is a natural constant, and is a correction factor corresponding to the set target fresh air regulation wind speed.
Preferably, the specific judging process is as follows: comparing the fresh air regulation error evaluation coefficient corresponding to each target regulation room with a set fresh air regulation error evaluation coefficient threshold, if the fresh air regulation error evaluation coefficient corresponding to a certain target regulation room is larger than the fresh air regulation error evaluation coefficient threshold, judging that the fresh air regulation corresponding to the target regulation room is inaccurate, and determining that the fresh air regulation corresponding to the target regulation room is accurate by the regularization, so that the accuracy condition of the fresh air regulation corresponding to each target regulation room is judged.
The invention has the beneficial effects that: according to the edge cloud computing system of the all-in-one machine, the rooms are classified according to the check-in conditions of the rooms in a hotel, and then the target control rooms are screened out according to the environmental information of the checked-in rooms, the environmental information of the checked-in rooms and the check-in duration, so that the target fresh air control wind speed corresponding to the target control rooms is analyzed according to the environmental information, the electricity consumption and the fresh air control errors corresponding to the target control rooms, the defects in the prior art are overcome, intelligent fresh air control and management are realized, the delay of cloud computing and the response speed of subsequent control are effectively reduced, the accuracy of fresh air system control in the subsequent rooms is guaranteed, the electricity consumption and the voltage consumption in the rooms are greatly reduced, and the housing experience and comfort of users are improved.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of a system connection according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, an edge cloud computing system of an all-in-one machine includes: room classifying module, edge server, fresh air control module and early warning terminal.
The room classification is used for acquiring check-in information corresponding to each room in a designated hotel at the current time point, and further dividing each room in the current time point into each checked-in room, each room to be checked-in room and each room without check-in room;
the method comprises the steps of acquiring the check-in information corresponding to each room in a current time point from a management center of a specified hotel, and further acquiring the check-in state corresponding to each room from the check-in information corresponding to each room, wherein the check-in state comprises check-in, check-out and reservation check-in, each room with the check-in state is taken as each check-in room, each room with the check-in state is reserved check-in is taken as each check-in room, and each room with the check-in state is taken as each no check-in room.
The check-in information includes check-in status, check-in number, reservation check-in time, and the like.
The edge server comprises an environment monitoring module, an electricity consumption information acquisition module, a fresh air accuracy analysis module, a fresh air control analysis module and a database;
it should be noted that, the fresh air in each room in the designated hotel corresponds to one edge server, and the edge server in each room only monitors and analyzes the environment, electricity consumption, fresh air accuracy and fresh air control of the corresponding room.
The environment monitoring module is used for monitoring environment information corresponding to each entered room and each room to be entered in the current time point, acquiring environment information corresponding to each entered room and each room to be entered in the current time point, and further screening out each target regulation room;
when a room is a resident room or a room to be resident at the current time point, the edge server of the room wakes up the air quality sensor of the room and collects the environmental information of the room, thereby obtaining the corresponding environmental information of each resident room and each room to be resident, wherein the environmental information comprises pollutant concentration, oxygen concentration and dust concentration.
It is also noted that contaminants include carbon monoxide, formaldehyde, and the like.
In a specific embodiment, each target control room is screened out, and the specific screening process is as follows: substituting the environmental information of each occupied room in the current time point into an empty quality value calculation formula to calculate an empty quality value corresponding to each occupied room in the current time point, comparing the empty quality value corresponding to each occupied room with a preset empty quality value threshold, and taking the occupied room as a target regulation room if the empty quality value corresponding to a certain occupied room is smaller than the preset empty quality value threshold;
the above-mentioned hollow matter value calculation formula is:wherein->、/>、/>、/>Respectively representing the empty value, the pollutant concentration, the oxygen concentration and the dust concentration corresponding to the j-th entered room, wherein w, o and c are respectively set allowable pollutant concentration, standard oxygen concentration and allowable dust concentration,>、/>、/>respectively set weight factors corresponding to the pollutant concentration, the oxygen concentration and the dust concentration.
The method comprises the steps of performing a similar calculation to obtain an empty value corresponding to each to-be-checked room in a current time point, obtaining a to-be-checked duration corresponding to each to-be-checked room in the current time point, comparing the empty value corresponding to each to-be-checked room in the current time point with a preset empty value threshold, comparing the to-be-checked duration corresponding to each to-be-checked room in the current time point with a preset to-be-checked duration threshold, and taking a to-be-checked room as a target regulation room if the empty value corresponding to a certain to-be-checked room in the current time point is smaller than the preset empty value threshold and the to-be-checked duration corresponding to the to-be-checked room is smaller than the preset to-be-checked duration threshold; in this way, each target conditioned room is obtained.
The method includes that the environment information corresponding to each to-be-held room is calculated according to the calculation mode of the empty quality value corresponding to each to-be-held room to obtain the empty quality value corresponding to each to-be-held room.
The electricity consumption information acquisition module is used for acquiring the electricity consumption corresponding to each target regulation room in the current time point;
the edge server corresponding to each target regulation room acquires the power consumption corresponding to each target regulation room in the current time point from the power control center of the designated hotel.
It should also be noted that the power supply for each room in a given hotel is independent.
The fresh air accuracy analysis module is used for extracting regulation information corresponding to historical fresh air regulation of each target regulation room, and further analyzing fresh air regulation error evaluation coefficients corresponding to each target regulation room;
the regulation information corresponding to each historical fresh air regulation of each target regulation room is obtained from the database.
The regulation information comprises a preset fresh air regulation wind speed, an actual fresh air regulation wind speed, a preset air quality regulation value and an actual air quality regulation value.
The method is characterized in that the preset fresh air regulation and control wind speed corresponding to each time of history fresh air regulation and control of each room is the target fresh air regulation and control wind speed corresponding to each time of history fresh air regulation and control of each room; a wind speed sensor is arranged at a fresh air vent of each room, so that the actual fresh air regulation wind speed corresponding to each time of history fresh air regulation of each room is collected; the preset regulation air quality value corresponding to each time of history fresh air regulation of each target regulation room is a room standard air quality value stored in a database; after the regulation of each historical fresh air in each room is finished, the air quality sensor of each room is used for collecting the environmental information after the regulation of each historical fresh air in each room is finished, the environmental information is substituted into an empty quality value calculation formula to obtain the actual empty quality value of each historical fresh air regulation in each room, and then the actual fresh air regulation wind speed and the actual empty quality value corresponding to each historical fresh air regulation in each room are stored in the database of each room edge server.
In a specific embodiment, the analyzing the fresh air regulation error evaluation coefficient corresponding to each target regulation room specifically includes the following steps: respectively marking a preset fresh air regulation wind speed, an actual fresh air regulation wind speed, a preset regulation air quality value and an actual regulation air quality value corresponding to each time of history fresh air regulation of each target regulation room as、/>、/>、/>Wherein i represents the corresponding number of each target regulation room, i=1, 2. Once again, n is, t represents the number corresponding to each time of history fresh air regulation, t=1, 2. P;
according to the analysis formulaObtaining a fresh air regulation error evaluation coefficient corresponding to each target regulation room>Wherein->、/>Respectively set allowable fresh air regulation wind speed difference and allowable air quality value difference, and are->、/>Respectively setting weight factors corresponding to the fresh air regulation and control wind speed difference and the regulation and control air quality value difference, wherein p represents the historical fresh air regulation and control times,>and (5) evaluating a compensation factor corresponding to the coefficient for the set fresh air regulation error.
The fresh air control analysis module is used for analyzing the reference fresh air regulation and control wind speed corresponding to each target regulation and control room according to the environment information corresponding to each target regulation and control room, and further calculating the target fresh air regulation and control wind speed corresponding to each target regulation and control room according to the power consumption corresponding to each target regulation and control room and the fresh air regulation and control error evaluation coefficient corresponding to each target regulation and control room;
in a specific embodiment, the analyzing the reference fresh air regulation wind speed corresponding to each target regulation room includes the following specific analysis process: according to the environment information corresponding to each target regulation room, obtaining an empty value corresponding to each target regulation room, obtaining a room standard empty value and a volume corresponding to each target regulation room from a database, and subtracting the empty value corresponding to each target regulation room from the room standard empty value to obtain an empty value to be regulated corresponding to each target regulation room;
the environment information corresponding to each target regulation room is substituted into the empty quality value calculation formula to obtain the empty quality value corresponding to each target regulation room.
Comparing the air quality value to be regulated corresponding to each target regulation room with the reference fresh air regulation wind speed of each air quality value interval to be regulated corresponding to each volume stored in the database, if the volume corresponding to a certain target regulation room is the same as a certain volume stored in the database, comparing the air quality value to be regulated corresponding to the target regulation room with each air quality value interval to be regulated corresponding to the volume, and when the air quality value to be regulated corresponding to the target regulation room is within the air quality value interval to be regulated corresponding to the volume, taking the reference fresh air regulation wind speed of the air quality value interval to be regulated corresponding to the volume as the reference fresh air regulation wind speed corresponding to the target regulation room, thereby obtaining the reference fresh air regulation wind speed corresponding to each target regulation room.
In another specific embodiment, the calculating the target fresh air regulation wind speed corresponding to each target regulation room specifically includes the following steps: subtracting a set power consumption threshold value from the power consumption corresponding to each target regulation room to obtain allowable power consumption corresponding to each target regulation room, and comparing the reference fresh air regulation wind speed corresponding to each target regulation room with the reference power consumption corresponding to each reference fresh air regulation wind speed stored in the database to obtain reference power consumption corresponding to each target regulation room;
comparing the allowable power consumption corresponding to each target regulation room with the reference power consumption, and if the allowable power consumption corresponding to a certain target regulation room is greater than or equal to the reference power consumption, applying a dynamic factor corresponding to the target regulation roomAnd a1, if the allowable electricity consumption corresponding to a certain target regulation room is smaller than the reference electricity consumption, passing through a calculation formulaObtaining an applied movie factor a2 corresponding to the target regulated room, wherein Q and->Respectively representing the reference electricity consumption and the allowable electricity consumption corresponding to the target regulation room,/for>For the set reference power consumption difference, +.>A correction factor corresponding to the set film use factor; obtaining an action factor a corresponding to each target regulation room in the mode, wherein the value of a is a1 or a2;
it should be noted that, when the motion factor corresponding to the target regulation room is a1, the value is zero.
Substituting the reference fresh air regulation wind speed corresponding to each target regulation room into a target fresh air regulation wind speed calculation formula to calculate and obtain the target fresh air regulation wind speed corresponding to each target regulation room.
In another specific embodiment, the target fresh air regulation wind speed calculation formula is:wherein->、/>Respectively representing the target fresh air regulation wind speed and the reference fresh air regulation wind speed corresponding to the ith target regulation room,/->Representing fresh air regulation error evaluation coefficient corresponding to the ith target regulation room,/for>And e is a natural constant, and is a correction factor corresponding to the set target fresh air regulation wind speed.
The database is used for storing room standard air quality values and volumes corresponding to all target regulation and control rooms, storing reference fresh air regulation and control wind speeds of all volumes corresponding to all air quality value intervals to be regulated and controlled, and storing reference electricity consumption corresponding to all reference fresh air regulation and control wind speeds and regulation and control information corresponding to all historical fresh air regulation and control of all rooms.
The fresh air control module is used for carrying out corresponding control based on the target fresh air regulation and control wind speed corresponding to each target regulation and control room.
The early warning terminal is used for judging the accurate condition of the fresh air regulation corresponding to each target regulation room according to the fresh air regulation error evaluation coefficient corresponding to each target regulation room, and carrying out early warning prompt when the fresh air regulation corresponding to a certain target regulation room is inaccurate.
In a specific embodiment, the specific judging process is as follows: comparing the fresh air regulation error evaluation coefficient corresponding to each target regulation room with a set fresh air regulation error evaluation coefficient threshold, if the fresh air regulation error evaluation coefficient corresponding to a certain target regulation room is larger than the fresh air regulation error evaluation coefficient threshold, judging that the fresh air regulation corresponding to the target regulation room is inaccurate, and determining that the fresh air regulation corresponding to the target regulation room is accurate by the regularization, so that the accuracy condition of the fresh air regulation corresponding to each target regulation room is judged.
According to the embodiment of the invention, the rooms are classified according to the check-in conditions of the rooms in the hotel, and then the target control rooms are screened out according to the environmental information of the checked-in rooms, the environmental information of the checked-in rooms and the check-in duration, so that the target fresh air control wind speed corresponding to the target control rooms is analyzed according to the environmental information, the electricity consumption and the fresh air control errors corresponding to the target control rooms, the defects in the prior art are overcome, intelligent fresh air control and management are realized, the delay of cloud computing and the response speed of subsequent control are effectively reduced, the accuracy of fresh air system control in the subsequent rooms is ensured, the electricity consumption and the voltage consumption in the rooms are greatly reduced, and the housing experience and comfort of users are improved.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (6)
1. An edge cloud computing system of an all-in-one machine, comprising: the system comprises a room classification module, an edge server, a fresh air control module and an early warning terminal;
the room classification module is used for acquiring check-in information corresponding to each room in a designated hotel at the current time point, and further dividing each room in the current time point into each checked-in room, each room to be checked-in room and each room without check-in room;
the edge server comprises an environment monitoring module, an electricity consumption information acquisition module, a fresh air accuracy analysis module, a fresh air control analysis module and a database;
the environment monitoring module is used for monitoring environment information corresponding to each entered room and each room to be entered in the current time point, acquiring environment information corresponding to each entered room and each room to be entered in the current time point, and further screening out each target regulation room;
the specific screening process for screening out each target regulation room is as follows:
substituting the environmental information of each occupied room in the current time point into an empty quality value calculation formula to calculate an empty quality value corresponding to each occupied room in the current time point, comparing the empty quality value corresponding to each occupied room with a preset empty quality value threshold, and taking the occupied room as a target regulation room if the empty quality value corresponding to a certain occupied room is smaller than the preset empty quality value threshold;
the method comprises the steps of performing a similar calculation to obtain an empty value corresponding to each to-be-checked room in a current time point, obtaining a to-be-checked duration corresponding to each to-be-checked room in the current time point, comparing the empty value corresponding to each to-be-checked room in the current time point with a preset empty value threshold, comparing the to-be-checked duration corresponding to each to-be-checked room in the current time point with a preset to-be-checked duration threshold, and taking a to-be-checked room as a target regulation room if the empty value corresponding to a certain to-be-checked room in the current time point is smaller than the preset empty value threshold and the to-be-checked duration corresponding to the to-be-checked room is smaller than the preset to-be-checked duration threshold; obtaining each target regulation room in this way;
the empty value calculation formula is as follows:wherein->、、/>、/>Respectively representing the empty value, the pollutant concentration, the oxygen concentration and the dust concentration corresponding to the j-th entered room, wherein w, o and c are respectively set allowable pollutant concentration, standard oxygen concentration and allowable dust concentration,>、/>、/>respectively set weight factors corresponding to the pollutant concentration, the oxygen concentration and the dust concentrationA seed;
the electricity consumption information acquisition module is used for acquiring the electricity consumption corresponding to each target regulation room in the current time point;
the fresh air accuracy analysis module is used for extracting regulation information corresponding to historical fresh air regulation of each target regulation room, and further analyzing fresh air regulation error evaluation coefficients corresponding to each target regulation room;
the fresh air regulation error evaluation coefficients corresponding to each target regulation room are analyzed, and the specific analysis process is as follows: respectively marking a preset fresh air regulation wind speed, an actual fresh air regulation wind speed, a preset regulation air quality value and an actual regulation air quality value corresponding to each time of history fresh air regulation of each target regulation room as、/>、/>、/>Wherein i represents the corresponding number of each target regulation room, i=1, 2. Once again, n is, t represents the number corresponding to each time of history fresh air regulation, t=1, 2. P;
according to the analysis formulaObtaining a fresh air regulation error evaluation coefficient corresponding to each target regulation room>Wherein->、/>New permissions respectively setWind speed difference, air quality difference of permission regulation and control, and +.>、/>Respectively setting weight factors corresponding to the fresh air regulation and control wind speed difference and the regulation and control air quality value difference, wherein p represents the historical fresh air regulation and control times,>a compensation factor corresponding to the set fresh air regulation error evaluation coefficient;
the fresh air control analysis module is used for analyzing the reference fresh air regulation and control wind speed corresponding to each target regulation and control room according to the environment information corresponding to each target regulation and control room, and further calculating the target fresh air regulation and control wind speed corresponding to each target regulation and control room according to the power consumption corresponding to each target regulation and control room and the fresh air regulation and control error evaluation coefficient corresponding to each target regulation and control room;
the fresh air control module is used for carrying out corresponding control based on the target fresh air regulation and control wind speed corresponding to each target regulation and control room;
the early warning terminal is used for judging the accurate condition of the fresh air regulation corresponding to each target regulation room according to the fresh air regulation error evaluation coefficient corresponding to each target regulation room, and carrying out early warning prompt when the fresh air regulation corresponding to a certain target regulation room is inaccurate.
2. The edge cloud computing system of an all-in-one machine of claim 1, wherein the regulation information comprises a preset fresh air regulation wind speed, an actual fresh air regulation wind speed, a preset regulation air quality value, and an actual regulation air quality value.
3. The edge cloud computing system of the all-in-one machine according to claim 1, wherein the analyzing the reference fresh air regulation wind speed corresponding to each target regulation room comprises the following specific analysis process:
according to the environment information corresponding to each target regulation room, obtaining an empty value corresponding to each target regulation room, obtaining a room standard empty value and a volume corresponding to each target regulation room from a database, and subtracting the empty value corresponding to each target regulation room from the room standard empty value to obtain an empty value to be regulated corresponding to each target regulation room;
comparing the air quality value to be regulated corresponding to each target regulation room with the reference fresh air regulation wind speed of each air quality value interval to be regulated corresponding to each volume stored in the database, if the volume corresponding to a certain target regulation room is the same as a certain volume stored in the database, comparing the air quality value to be regulated corresponding to the target regulation room with each air quality value interval to be regulated corresponding to the volume, and when the air quality value to be regulated corresponding to the target regulation room is within the air quality value interval to be regulated corresponding to the volume, taking the reference fresh air regulation wind speed of the air quality value interval to be regulated corresponding to the volume as the reference fresh air regulation wind speed corresponding to the target regulation room, thereby obtaining the reference fresh air regulation wind speed corresponding to each target regulation room.
4. The edge cloud computing system of the all-in-one machine according to claim 1, wherein the computing of the target fresh air regulation wind speed corresponding to each target regulation room comprises the following specific computing process:
subtracting a set power consumption threshold value from the power consumption corresponding to each target regulation room to obtain allowable power consumption corresponding to each target regulation room, and comparing the reference fresh air regulation wind speed corresponding to each target regulation room with the reference power consumption corresponding to each reference fresh air regulation wind speed stored in the database to obtain reference power consumption corresponding to each target regulation room;
comparing the allowable power consumption corresponding to each target regulation room with the reference power consumption, if the allowable power consumption corresponding to a certain target regulation room is larger than or equal to the reference power consumption, marking the power consumption corresponding to the target regulation room as a1, and if the allowable power consumption corresponding to a certain target regulation room is smaller than the reference power consumption, calculating by a calculation formulaObtaining an applied movie factor a2 corresponding to the target regulated room, wherein Q and->Respectively representing the reference electricity consumption and the allowable electricity consumption corresponding to the target regulation room,/for>For the set reference power consumption difference, +.>A correction factor corresponding to the set film use factor; obtaining an action factor a corresponding to each target regulation room in the mode, wherein the value of a is a1 or a2;
substituting the reference fresh air regulation wind speed corresponding to each target regulation room into a target fresh air regulation wind speed calculation formula to calculate and obtain the target fresh air regulation wind speed corresponding to each target regulation room.
5. The edge cloud computing system of an all-in-one machine according to claim 4, wherein the target fresh air regulation wind speed calculation formula is:wherein->、/>Respectively representing the target fresh air regulation wind speed and the reference fresh air regulation wind speed corresponding to the ith target regulation room,/->Representing fresh air regulation error evaluation coefficient corresponding to the ith target regulation room,/for>And e represents a natural constant, i represents a number corresponding to each target regulation room, and i=1, 2.
6. The edge cloud computing system of an all-in-one machine according to claim 1, wherein the specific judging process is as follows: comparing the fresh air regulation error evaluation coefficient corresponding to each target regulation room with a set fresh air regulation error evaluation coefficient threshold, if the fresh air regulation error evaluation coefficient corresponding to a certain target regulation room is larger than the fresh air regulation error evaluation coefficient threshold, judging that the fresh air regulation corresponding to the target regulation room is inaccurate, otherwise, judging that the fresh air regulation corresponding to the target regulation room is accurate, and judging the accuracy of the fresh air regulation corresponding to each target regulation room in this way.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311077587.1A CN117091233B (en) | 2023-08-25 | 2023-08-25 | Edge cloud computing system of all-in-one machine |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311077587.1A CN117091233B (en) | 2023-08-25 | 2023-08-25 | Edge cloud computing system of all-in-one machine |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN117091233A CN117091233A (en) | 2023-11-21 |
| CN117091233B true CN117091233B (en) | 2024-02-27 |
Family
ID=88776656
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311077587.1A Active CN117091233B (en) | 2023-08-25 | 2023-08-25 | Edge cloud computing system of all-in-one machine |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117091233B (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5131887A (en) * | 1989-12-27 | 1992-07-21 | Don E. Reiner | Pressure controlled fresh air supply ventilation system using soil gas pressure as a reference, and method of use |
| CN110057058A (en) * | 2019-04-30 | 2019-07-26 | 北京联合大学 | Air quantity control method and device for clean room |
| CN111415273A (en) * | 2019-01-04 | 2020-07-14 | 上海裕孚电子科技有限公司 | Chain intelligent hotel management method |
| CN212132734U (en) * | 2019-11-21 | 2020-12-11 | 北京东方智明科技有限公司 | Energy-conserving distributing type of thing networking purifies no pipeline and purifies new trend system architecture |
| CN112150316A (en) * | 2020-09-28 | 2020-12-29 | 华控系统科技(深圳)有限公司 | Hotel room check-in condition monitoring method and system |
| CN112696744A (en) * | 2020-12-25 | 2021-04-23 | 上海应用技术大学 | Intelligent comprehensive fresh air system |
| FR3124583A1 (en) * | 2021-06-24 | 2022-12-30 | Labo Aai | Air treatment system with regulation by air quality sensor |
-
2023
- 2023-08-25 CN CN202311077587.1A patent/CN117091233B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5131887A (en) * | 1989-12-27 | 1992-07-21 | Don E. Reiner | Pressure controlled fresh air supply ventilation system using soil gas pressure as a reference, and method of use |
| CN111415273A (en) * | 2019-01-04 | 2020-07-14 | 上海裕孚电子科技有限公司 | Chain intelligent hotel management method |
| CN110057058A (en) * | 2019-04-30 | 2019-07-26 | 北京联合大学 | Air quantity control method and device for clean room |
| CN212132734U (en) * | 2019-11-21 | 2020-12-11 | 北京东方智明科技有限公司 | Energy-conserving distributing type of thing networking purifies no pipeline and purifies new trend system architecture |
| CN112150316A (en) * | 2020-09-28 | 2020-12-29 | 华控系统科技(深圳)有限公司 | Hotel room check-in condition monitoring method and system |
| CN112696744A (en) * | 2020-12-25 | 2021-04-23 | 上海应用技术大学 | Intelligent comprehensive fresh air system |
| FR3124583A1 (en) * | 2021-06-24 | 2022-12-30 | Labo Aai | Air treatment system with regulation by air quality sensor |
Also Published As
| Publication number | Publication date |
|---|---|
| CN117091233A (en) | 2023-11-21 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US20210365823A1 (en) | Capacity evaluation method and device based on historical capacity similarity characteristic | |
| JP6129028B2 (en) | Energy consumption prediction method for building power equipment | |
| Shu et al. | A new EWMA chart for monitoring process dispersion | |
| CN114564058A (en) | Intelligent house indoor environment monitoring regulation and control management system based on Internet of things | |
| CN113110080B (en) | Household environment intelligent monitoring, regulation and control management cloud system based on Internet of things and cloud computing | |
| CN112633174B (en) | Improved YOLOv4 high-dome-based fire detection method and storage medium | |
| CN116337157B (en) | Indoor environment intelligent monitoring system based on Internet of things | |
| CN116627079B (en) | Operation monitoring management system for laboratory ventilation equipment | |
| CN114580691A (en) | Prediction method and device of gas use demand, computer equipment and storage medium | |
| CN114328075A (en) | Intelligent power distribution room sensor multidimensional data fusion abnormal event detection method and system and computer readable storage medium | |
| Kalajdjieski et al. | Smart city air pollution monitoring and prediction: A case study of skopje | |
| CN110503092B (en) | Improved SSD monitoring video target detection method based on field adaptation | |
| CN117091233B (en) | Edge cloud computing system of all-in-one machine | |
| CN116697497B (en) | Method, device, equipment and storage medium for controlling ventilation air conditioning system | |
| CN112880149A (en) | Intelligent ventilation system | |
| CN113014645A (en) | Grassland environment monitoring system based on Internet of things | |
| CN109858576A (en) | The gradual self feed back concentration Entropy Changes prediction technique of gas, system and storage medium | |
| CN114912169B (en) | Industrial building heat supply autonomous optimization regulation and control method based on multisource information fusion | |
| CN116739619A (en) | Energy power carbon emission monitoring analysis modeling method and device | |
| CN109900865A (en) | A kind of air pollution detection system neural network based | |
| CN115079589A (en) | Park management method, device, system, electronic equipment and computer readable medium | |
| CN117634826B (en) | Intelligent building state monitoring management system based on cloud computing and multidimensional data | |
| CN117606106A (en) | Method for realizing building heating and ventilation automatic control based on deep learning graph neural network | |
| CN114758421B (en) | University science and technology garden wisdom management system based on distributing type and big data | |
| US20230392807A1 (en) | Presence detection |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |