CN114862357B - Railway driving apartment management system based on big data - Google Patents
Railway driving apartment management system based on big data Download PDFInfo
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Abstract
The invention belongs to the technical field of big data, and particularly relates to a railway driving apartment management system based on big data. The system comprises: the data acquisition unit is configured to acquire train operation data and apartment operation data in real time; the train operation data includes: train station information and time information of arrival of the train at each station within a set time range; the apartment operation data includes: apartment location information, apartment entry information and apartment exit information within a set time range; and the apartment planning unit is configured to calculate the vacant condition of each room in the apartment under each time node in the set time range based on the entrance information and the exit information of the apartment in the set time range. The apartment check-in management is automatically carried out by carrying out joint calculation on train operation and apartment operation, so that the intelligent degree of apartment management during railway driving is improved, manpower resources are saved, and the utilization rate of apartments is improved.
Description
Technical Field
The invention belongs to the technical field of big data, and particularly relates to a railway driving apartment management system based on big data.
Background
Apartments are an important carrier for travel, leasing, accommodation, etc.; the centralized apartment provides apartment related services for the whole building, a plurality of buildings or a plurality of floors of one building; and collecting scattered house sources in the same cell or cells, the same city or multiple cities, and uniformly renting the apartments. Distributed apartments are likely to be an important service in the future. For example, in a plurality of rental houses in a city, private or corporate management is performed in a distributed apartment manner.
Railway transportation is a land transportation mode, and is an important transportation tool by using a locomotive to pull a train vehicle to run on two parallel rails.
The railway running apartment is used as an important support for railway operation, and how to manage the railway running apartment better and improve management efficiency is a key problem of a railway system.
However, in the prior art, both the centralized apartment and the distributed apartment have problems of improving management efficiency and reducing manpower consumption.
Patent application number CN201510417496.7A discloses a hotel type apartment management system, including high in the clouds reservation management unit, room management unit, service management unit, room management unit with service management unit pass through the network with high in the clouds reservation management unit is connected, high in the clouds reservation management unit passes through owner port and transmits corresponding room lease information to owner's end, high in the clouds reservation management unit provides room reservation payment service to the customer end through reservation port.
The solution provided by the system is still for the management of the traditional hotel, and the particularity of the management of the apartment of the railway driving is not considered.
Disclosure of Invention
In view of the above, the main purpose of the invention is to provide a large data-based railway running apartment management system, which automatically performs apartment check-in management by performing joint calculation on train operation and apartment operation, improves the intelligent degree of railway running apartment management, saves human resources, and improves the utilization rate of apartments.
In order to achieve the above purpose, the technical scheme of the invention is realized as follows:
a railroad car apartment management system based on big data, the system comprising: the data acquisition unit is configured to acquire train operation data and apartment operation data in real time; the train operation data includes: train station information and time information of arrival of the train at each station within a set time range; the apartment operation data includes: apartment location information, apartment entry information and apartment exit information within a set time range; the apartment planning unit is configured to calculate the vacant condition of each room in the apartment under each time node in the set time range based on the entrance information and the exit information of the apartment in the set time range; a target area determining unit configured to equally divide the map into a plurality of areas with equal area, establish train track information according to the train station information, delimit a region through which a train passes and surrounds according to the established train track information in combination with the train station information, and screen out a region containing an apartment in combination with apartment position information in the region; and the check-in arrangement unit is configured to screen out apartments with the empty rate exceeding a set threshold value in a set time range in the screened out empty conditions of all the apartments, then combine check-in demand information corresponding to the train, order the apartments from high to low according to the empty rate, and then perform check-in judgment on each room in each apartment to find out the apartments corresponding to the rooms and rooms matched with the check-in demand information, thereby completing check-in arrangement.
Further, the set time range at least includes three days, and the set time range is in units of days.
Further, the data acquisition unit includes: a train data acquisition subunit and an apartment data acquisition subunit; the apartment data collection subunit includes: a position information acquisition section and an in/out detection section; the position information acquisition part is a GPS positioning device which is arranged in the apartment and is used for performing GPS positioning in real time, and the GPS positioning result is used as apartment position information; the in/out detection section includes a plurality of sensor groups each of which performs in/out detection for each room in the apartment, each sensor group including a plurality of identical sensors, respectively.
Further, the living demand information includes: the number of people in, the time of in and the time of out.
Further, the check-in arrangement unit includes: an apartment screening unit configured to screen apartments whose empty rate exceeds a set threshold value within a set time range in combination with empty conditions of all apartments in the screened areas; the arrangement unit is configured to combine the corresponding check-in requirement information of the train, order the apartments according to the empty rate from high to low, and then perform check-in judgment on each room in each apartment, find the apartment corresponding to the room and the room matched with the check-in requirement information, and complete check-in arrangement.
Further, the method for making a check-in judgment by the arrangement unit for each room in each apartment includes: firstly judging whether the initial time of the room is before the entering time, if so, judging whether the end time of the room is after the moving time, if not, subtracting the upper limit of the number of people contained in the room from the number of people entering the room to obtain a new number of people entering the room, and judging the next room until the new number of people entering the room is 0.
Further, the apartment planning unit calculates the vacant condition of each room in the apartment under each time node in the set time range based on the entrance information and the exit information of the apartment in the set time range, and the method comprises the following steps: dividing the set time range into a plurality of time periods, selecting a time node corresponding to the middle point of the time period according to each time period, subtracting the migration information from the check-in information to obtain the net check-in information, dividing the net check-in information by the total number of rooms of the apartment to obtain the check-in rate, and obtaining the vacant condition based on the check-in rate.
Further, the system further comprises: and the big data management unit is configured to collect the vacant rates of the apartments in each time period according to the set time period, sort the vacant rates according to the descending order, screen the apartments with the vacant rates exceeding the set judgment threshold value, generate a room reduction command to the working end, and delete the rooms in the apartments after the working end receives the room reduction command.
Further, the sensor group at least comprises a people number judging sensor; the people number judging sensor is configured to calculate the probability of 1 person, 2 person and 3 person states in the room every a preset period of time in a preset condition; the preset conditions comprise a plurality of preset periods, and the total number of indoor people in the preset conditions is unchanged; taking the state corresponding to the probability calculation result exceeding a preset first judgment interval as a person number judgment state, and if the person number judgment state is 2 persons and the person number judgment state corresponding to the previous calculation result is 1 person, correcting the person number judgment state from the 1 person state to the 2 person state; or if the number of people judging state is 3 people and the number of people judging state corresponding to the previous calculation result is 2 people, correcting the number of people judging state from the 2 people state to the 3 people state; when the current preset condition is determined to be an effective preset condition, counting the triggering duration of the people number judgment sensor in each preset period before the current preset condition is finished, and performing superposition processing on the counting result to obtain a random sample of each preset period; wherein, each preset period corresponds to a random sample; the superposition processing is as follows: counting the number of people to judge the overlapping condition of the triggering duration time of the sensor; the determining that the current preset condition is an effective preset condition includes: if the calculated number of people judging state is 3 people and the probability of the 3-person state reaches a preset second judging interval, determining the current preset condition as an effective preset condition; the second discrimination section is higher than the first discrimination section.
Further, the method for calculating the probability of 1 person, 2 person and 3 person states in the room by the people number judging sensor is carried out by using the following formula:
wherein n=1, 2 or 3; p (P) n A probability of 1 person when n=1, a probability of 2 persons when n=2, and a probability of 3 persons when n=3; t is a preset period; c (C) n For the discrimination section, when n=1, it is a first discrimination section, and when n=2 or 3, it is a second discrimination section; t is a preset time.
The railway driving apartment management system based on big data has the following beneficial effects:
1. the management efficiency is high: according to the invention, the running data of the railway running apartment and the running data of the train are respectively subjected to data analysis, so that the automatic management of the railway running apartment is realized, the railway management efficiency is improved, and the labor cost is saved.
2. The utilization rate of apartment rooms is improved: according to the invention, through analyzing the operation data of the apartment, reasonable distribution and configuration are carried out according to the requirements, the utilization rate of the railway running apartment is improved, and the empty rate of the railway running apartment room is reduced.
Drawings
Fig. 1 is a schematic diagram of a system structure of a large data-based apartment management system for railway driving according to an embodiment of the present invention;
fig. 2 is a schematic diagram of apartment planning of a railway running apartment management system based on big data according to an embodiment of the present invention;
fig. 3 is a schematic diagram of train area screening of a rail transit apartment management system based on big data according to an embodiment of the present invention.
Detailed Description
The method of the present invention will be described in further detail with reference to the accompanying drawings.
Example 1
As shown in fig. 1, a large data-based railroad car apartment management system, the system comprising: the data acquisition unit is configured to acquire train operation data and apartment operation data in real time; the train operation data includes: train station information and time information of arrival of the train at each station within a set time range; the apartment operation data includes: apartment location information, apartment entry information and apartment exit information within a set time range; the apartment planning unit is configured to calculate the vacant condition of each room in the apartment under each time node in the set time range based on the entrance information and the exit information of the apartment in the set time range; a target area determining unit configured to equally divide the map into a plurality of areas with equal area, establish train track information according to the train station information, delimit a region through which a train passes and surrounds according to the established train track information in combination with the train station information, and screen out a region containing an apartment in combination with apartment position information in the region; and the check-in arrangement unit is configured to screen out apartments with the empty rate exceeding a set threshold value in a set time range in the screened out empty conditions of all the apartments, then combine check-in demand information corresponding to the train, order the apartments from high to low according to the empty rate, and then perform check-in judgment on each room in each apartment to find out the apartments corresponding to the rooms and rooms matched with the check-in demand information, thereby completing check-in arrangement.
Specifically, in the invention, intelligent access control can be added
The apartment can support two modes of daily management and totally-enclosed management at the same time.
(1) Access control equipment
The apartment gate is additionally provided with a magnetic automatic door lock, the inner side and the outer side are additionally provided with identity recognition, unlocking is released after the identity recognition, and the apartment gate is automatically locked after 20 seconds. The power-off state door lock is opened. The apartment with the revolving door is correspondingly adjusted. The identity recognition device should be networked with a computer on duty in a shift room.
(2) Daily management
The door lock is not limited in the daily mode, but the identity of the person entering and exiting is recorded, and an alarm is formed by the condition of entering and exiting to inform the worker. The flow is as follows:
the first step: after the crews pass through the camera outside the apartment door to authenticate the identity, the crews are automatically put in the apartment door. If the identities of the unregistered crews, the boarding trunk and the visitor cannot be identified, the unregistered crews, the boarding trunk and the visitor can be put in, and the unfamiliar visitor alarm can be automatically displayed on a duty computer of a duty room.
And a second step of: after the crewmember transacts the apartment by self, the camera identity at the inner side of the apartment door is authenticated and then released. If the crewmember goes out without going out of the apartment, the crewmember can also go out, and the alarm can be automatically displayed on the duty computer of the duty room when the crewmember does not go out of the apartment.
The accommodation registration is not processed, and the waiting crews staying in apartment halls, canteens and the like in a short time can go in and out, and can go out directly after identity authentication.
(3) Totally enclosed management
Based on a daily management mode, the crewmember can enter and exit the apartment through identity authentication and can be unlocked after the condition of leaving the apartment is met. Other personnel access needs to be signed for staff permission.
Example 2
On the basis of the above embodiment, the set time range includes at least three days, and is in units of days.
Example 3
On the basis of the above embodiment, the data acquisition unit includes: a train data acquisition subunit and an apartment data acquisition subunit; the apartment data collection subunit includes: a position information acquisition section and an in/out detection section; the position information acquisition part is a GPS positioning device which is arranged in the apartment and is used for performing GPS positioning in real time, and the GPS positioning result is used as apartment position information; the in/out detection section includes a plurality of sensor groups each of which performs in/out detection for each room in the apartment, each sensor group including a plurality of identical sensors, respectively.
Example 4
On the basis of the above embodiment, the occupancy requirement information includes: the number of people in, the time of in and the time of out.
Specifically, 2. Intelligent accommodation
(1) Self-service registration
The crews and the adding trunk part enter the computer collar and the check-out card of the apartment by self. The flow is as follows:
the first step: the crewmember who first goes to the apartment shall check the registration by the crewmember through the duty computer of the crewmember's duty, and the registration information is uploaded to the apartment big data server.
And a second step of: registered crews enter the apartment computer by themselves to swipe face authentication, detect body temperature and input the intersection. If the bus machine shifts to the road when meeting special conditions, the bus machine can prompt the caller to confirm the shift change when the bus machine shifts to the road when meeting special conditions and the bus machine shifts to the road when meeting special conditions.
And a third step of: identity authentication is correct, the body temperature is normal, a self-help apartment computer displays 'agree to stay in', and a crewmember is requested to select an idle room in a corresponding rest area of the unit.
Fourth step: after the room selection is completed, the computer prompts that the registration in the apartment is successful, and the room card is automatically ejected. And when authentication fails or the body temperature is abnormal, automatically notifying a staff to intervene.
Fifth step: if the room is to be adjusted, the crewmember can click the self-help room adjustment through a self-help apartment computer, insert the room card back, and select the room number to be exchanged. The self-help apartment computer pops up the corresponding room card again, and informs the crewmember that the house adjustment is completed and the new room card is required to be taken away.
The adding and taking trunk part should separately sort and transact check-in on the self-help check-in computer. If the road crossing is selected, the vehicle can be linked with the same train number crews to call the shift; if the departure time is determined, the point can be called; and the user can choose not to call the shift and master the time by himself.
(2) Service notification
After the self-help apartment computer issues the house card to the crewmember, the service desk tablet computer automatically sends a notification to the cleaning staff in the area where the living room belongs, and the XXX driver master in XX office is already in the XXX room and requests to prepare for reception.
The crewmember check-in information is uploaded to the apartment big data server for the engine operation and safety system to call.
(3) Automatic dispatch and dispatch device
And one is to send the class. And automatically dispatching the passenger apartment with a scheduling according to the figure. After the interface of the freight apartment and the machine operation and safety system is realized, the machine section can dispatch the work according to the living and rest conditions of the apartment crews, and the apartment automatically receives the plan and automatically calls the work, thereby realizing the integration of dispatching the work. Under the condition that the machine operation and safety system is not networked, the apartment can be assigned to be in duty according to the existing program.
And secondly, calling and answering. The flow is as follows:
the first step: when the office is called, the room terminal plays the voice of the office, and the crewmember can answer the voice or confirm the answer on the screen by touch.
And a second step of: the room terminal transmits the response to the shift room on-duty computer.
And a third step of: the touch response directly plays the voice "thank you" cooperation. The computer analyzes the response voice into words, understands the semantics of the response and judges whether the crewmember is a standard response. If the crewmember answers, hearing and knowing, the artificial intelligent voice recognition system judges the answer specification of the crewmember and automatically plays the voice of "thank you for cooperation". If the crewmember does not respond according to the specified language, the loudspeaker automatically plays the voice of' thank you for collaboration! The next time please normalize the response).
Fourth step: after the crewmember answers, the computer on duty of the duty room records the answer content and the answer time, and prompts the crewmember that the crewmember master in XXX room has answered.
Fifth step: when the user is not replied twice during the work, the voice and the characters are played on public tablet computers in areas such as canteens, halls, rest rooms and the like after a period of a plurality of minutes, and XXX crews master in XXX rooms play the following characters! The XXX number of cars you take has been on duty, ask you to answer as soon as possible, thank you for the cooperation! ".
Sixth step: after hearing the work calling broadcast in the public area, the crews respond by brushing the face of any public tablet computer nearby. And automatically alarming to the staff after a few minutes if the staff still does not answer.
And under the fault condition of the room tablet personal computer, the office-calling horn is reserved as emergency equipment. The work calling loudspeaker broadcasts work calling voice and the pickup microphone monitors. The voice is transmitted to the office on duty computer and then is used for the manual intelligent analysis record, and the voice is fed back to the crewmember and the office on duty.
Example 5
On the basis of the above embodiment, the check-in arrangement unit includes: an apartment screening unit configured to screen apartments whose empty rate exceeds a set threshold value within a set time range in combination with empty conditions of all apartments in the screened areas; the arrangement unit is configured to combine the corresponding check-in requirement information of the train, order the apartments according to the empty rate from high to low, and then perform check-in judgment on each room in each apartment, find the apartment corresponding to the room and the room matched with the check-in requirement information, and complete check-in arrangement.
Example 6
On the basis of the above embodiment, the method for making a check-in judgment for each room in each apartment by the arrangement unit includes: firstly judging whether the initial time of the room is before the entering time, if so, judging whether the end time of the room is after the moving time, if not, subtracting the upper limit of the number of people contained in the room from the number of people entering the room to obtain a new number of people entering the room, and judging the next room until the new number of people entering the room is 0.
In particular, away from apartment notification
After the crews leave the apartment and return the house card, the rooms enter the preparation state, and the service desk computer displays that the XXX room crews return the house card and ask for the preparation of the rooms in time.
Photographing mark
The cleaning staff carries the tablet personal computer to enter the room, and take a picture for storage after the room is prepared.
Fault reporting and repairing
When the cleaning agent is in service, the cleaning agent discovers the equipment faults of the room facilities, clicks a corresponding room fault repair button, and notifies a maintenance worker. The room enters a "fault" state.
Maintenance of
The maintenance department is independently provided with a service desk tablet personal computer to log in with the identity of a maintenance worker.
And (5) photographing and confirming after maintenance work is finished.
If the maintenance worker cannot maintain, the maintenance worker is informed of XXX room XXX fault, and the maintenance worker cannot maintain and stops temporarily.
Example 7
On the basis of the above embodiment, the apartment planning unit, based on the in-living information and the out-moving information of the apartment in the set time range, calculates the vacant condition of each room in the apartment under each time node in the set time range, including: dividing the set time range into a plurality of time periods, selecting a time node corresponding to the middle point of the time period according to each time period, subtracting the migration information from the check-in information to obtain the net check-in information, dividing the net check-in information by the total number of rooms of the apartment to obtain the check-in rate, and obtaining the vacant condition based on the check-in rate.
Example 8
On the basis of the above embodiment, the system further includes: and the big data management unit is configured to collect the vacant rates of the apartments in each time period according to the set time period, sort the vacant rates according to the descending order, screen the apartments with the vacant rates exceeding the set judgment threshold value, generate a room reduction command to the working end, and delete the rooms in the apartments after the working end receives the room reduction command.
Example 9
On the basis of the above embodiment, the sensor group includes at least one people number judgment sensor; the people number judging sensor is configured to calculate the probability of 1 person, 2 person and 3 person states in the room every a preset period of time in a preset condition; the preset conditions comprise a plurality of preset periods, and the total number of indoor people in the preset conditions is unchanged; taking the state corresponding to the probability calculation result exceeding a preset first judgment interval as a person number judgment state, and if the person number judgment state is 2 persons and the person number judgment state corresponding to the previous calculation result is 1 person, correcting the person number judgment state from the 1 person state to the 2 person state; or if the number of people judging state is 3 people and the number of people judging state corresponding to the previous calculation result is 2 people, correcting the number of people judging state from the 2 people state to the 3 people state; when the current preset condition is determined to be an effective preset condition, counting the triggering duration of the people number judgment sensor in each preset period before the current preset condition is finished, and performing superposition processing on the counting result to obtain a random sample of each preset period; wherein, each preset period corresponds to a random sample; the superposition processing is as follows: counting the number of people to judge the overlapping condition of the triggering duration time of the sensor; the determining that the current preset condition is an effective preset condition includes: if the calculated number of people judging state is 3 people and the probability of the 3-person state reaches a preset second judging interval, determining the current preset condition as an effective preset condition; the second discrimination section is higher than the first discrimination section.
Specifically, the first step: the buses start from apartments
After the crewmember handles the apartment by self, the crewmember is reminded to form an electronic dispatch list, a dispatch two-dimensional code dispatch car driver on duty display screen and voice reminding.
The passenger machine class can automatically dispatch the train according to the fixed shift, and the freight machine class can dispatch the train by a caller. The staff can manually designate the bus driver and the bus, or can automatically adjust the bus without designating the bus driver.
The driver uses the intelligent bus hand-held machine to scan the two-dimension code of dispatching the bus and read the dispatching bill.
And a second step of: go out of car
The bus driver scans the bus two-dimensional code, binds the bus, and checks the vehicle condition.
The bus driver receives the crews according to the bus dispatching list, and checks the number of the buses, the time requirement, the destination and the like of the bus dispatching list.
Example 10
On the basis of the above embodiment, the method for calculating the probability of 1 person, 2 person and 3 person states in the room by the people number judgment sensor is performed using the following formula:
wherein n=1, 2 or 3; p (P) n A probability of 1 person when n=1, a probability of 2 persons when n=2, and a probability of 3 persons when n=3; t is a preset period; c (C) n For the discrimination section, when n=1, it is a first discrimination section, and when n=2 or 3, it is a second discrimination section; t is a preset time.
It should be noted that, in the system provided in the foregoing embodiment, only the division of the foregoing functional units is illustrated, in practical application, the foregoing functional allocation may be performed by different functional units, that is, the units or steps in the embodiment of the present invention are further decomposed or combined, for example, the units in the foregoing embodiment may be combined into one unit, or may be further split into multiple sub-units, so as to complete all or the functions of the units described above. The names of the units and the steps related to the embodiment of the invention are only used for distinguishing the units or the steps, and are not to be construed as undue limitation of the invention.
It will be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working process of the storage device and the processing device described above and the related description may refer to the corresponding process in the foregoing method embodiment, which is not repeated herein.
Those of skill in the art will appreciate that the various illustrative elements, method steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the program(s) corresponding to the software elements, method steps may be embodied in Random Access Memory (RAM), memory, read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, QD-ROM, or any other form of storage medium known in the art. To clearly illustrate this interchangeability of electronic hardware and software, various illustrative components and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as electronic hardware or software depends upon the particular application and design constraints imposed on the solution. Those skilled in the art may implement the described functionality using different approaches for each particular application, but such implementation is not intended to be limiting.
The terms "first," "another portion," and the like, are used for distinguishing between similar objects and not for describing a particular sequential or chronological order.
The terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or unit/apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or unit/apparatus.
Thus far, the technical solution of the present invention has been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of protection of the present invention is not limited to these specific embodiments. Equivalent modifications and substitutions for related art marks may be made by those skilled in the art without departing from the principles of the present invention, and such modifications and substitutions will fall within the scope of the present invention.
The foregoing description is only of the preferred embodiments of the present invention and is not intended to limit the scope of the present invention.
Claims (9)
1. A large data based railroad car apartment management system, the system comprising: the data acquisition unit is configured to acquire train operation data and apartment operation data in real time; the train operation data includes: train station information and time information of arrival of the train at each station within a set time range; the apartment operation data includes: apartment location information, apartment entry information and apartment exit information within a set time range; the apartment planning unit is configured to calculate the vacant condition of each room in the apartment under each time node in the set time range based on the entrance information and the exit information of the apartment in the set time range; a target area determining unit configured to equally divide the map into a plurality of areas with equal area, establish train track information according to the train station information, delimit areas through which the train passes and surrounds in accordance with the established train track information in combination with the train station information, and screen out areas containing apartments in the areas in combination with apartment position information; and the check-in arrangement unit is configured to screen out apartments with the empty rate exceeding a set threshold value in a set time range in the screened out empty conditions of all the apartments, then combine check-in demand information corresponding to the train, order the apartments from high to low according to the empty rate, and then perform check-in judgment on each room in each apartment to find out the apartments corresponding to the rooms and rooms matched with the check-in demand information, thereby completing check-in arrangement.
2. The system of claim 1, wherein the set time frame comprises at least three days and is in days intervals.
3. The system of claim 2, wherein the data acquisition unit comprises: a train data acquisition subunit and an apartment data acquisition subunit; the apartment data collection subunit includes: a position information acquisition section and an in/out detection section; the position information acquisition part is a GPS positioning device which is arranged in the apartment and is used for performing GPS positioning in real time, and the GPS positioning result is used as apartment position information; the in/out detection section includes a plurality of sensor groups each of which performs in/out detection for each room in the apartment, each sensor group including a plurality of identical sensors, respectively.
4. The system of claim 3, wherein the occupancy requirement information comprises: the number of people in, the time of in and the time of out.
5. The system of claim 4, wherein the method of making a check-in judgment for each room in each apartment by the check-in arrangement unit includes: firstly judging whether the initial time of the room is before the entering time, if so, judging whether the end time of the room is after the moving time, if not, subtracting the upper limit of the number of people contained in the room from the number of people entering the room to obtain a new number of people entering the room, and judging the next room until the new number of people entering the room is 0.
6. The system of claim 5, wherein the apartment planning unit calculates the vacant condition of each room in the apartment under each time node in the set time range based on the in-and-out information of the apartment in the set time range, the method comprising: dividing the set time range into a plurality of time periods, selecting a time node corresponding to the middle point of the time period according to each time period, subtracting the migration information from the check-in information to obtain the net check-in information, dividing the net check-in information by the total number of rooms of the apartment to obtain the check-in rate, and obtaining the vacant condition based on the check-in rate.
7. The system of claim 6, wherein the system further comprises: and the big data management unit is configured to collect the vacant rates of the apartments in each time period according to the set time period, sort the vacant rates according to the descending order, screen the apartments with the vacant rates exceeding the set judgment threshold value, generate a room reduction command to the working end, and delete the rooms in the apartments after the working end receives the room reduction command.
8. The system of claim 7, wherein the sensor group comprises at least one people judgment sensor; the people number judging sensor is configured to calculate the probability of 1 person, 2 person and 3 person states in the room every a preset period of time in a preset condition; the preset conditions comprise a plurality of preset periods, and the total number of indoor people in the preset conditions is unchanged; taking the state corresponding to the probability calculation result exceeding a preset first judgment interval as a person number judgment state, and if the person number judgment state is 2 persons and the person number judgment state corresponding to the previous calculation result is 1 person, correcting the person number judgment state from the 1 person state to the 2 person state; or if the number of people judging state is 3 people and the number of people judging state corresponding to the previous calculation result is 2 people, correcting the number of people judging state from the 2 people state to the 3 people state; when the current preset condition is determined to be an effective preset condition, counting the triggering duration of the people number judgment sensor in each preset period before the current preset condition is finished, and performing superposition processing on the counting result to obtain a random sample of each preset period; wherein, each preset period corresponds to a random sample; the superposition processing is as follows: counting the number of people to judge the overlapping condition of the triggering duration time of the sensor; the determining that the current preset condition is an effective preset condition includes: if the calculated number of people judging state is 3 people and the probability of the 3-person state reaches a preset second judging interval, determining the current preset condition as an effective preset condition; the second discrimination section is higher than the first discrimination section.
9. The system of claim 8, wherein the method of the people count sensor calculating the probability of 1,2, and 3 people status in the room is performed using the following formula:
wherein n=1, 2 or 3; p (P) n A probability of 1 person when n=1, a probability of 2 persons when n=2, and a probability of 3 persons when n=3; t is a preset period; c (C) n For the discrimination section, when n=1, it is a first discrimination section, and when n=2 or 3, it is a second discrimination section; t is a preset time. />
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