CN114862357A - Railway train apartment management system based on big data - Google Patents
Railway train 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 train apartment management system based on big data. The system comprises: the data acquisition unit is configured for acquiring train operation data and apartment operation data in real time; the train operation data includes: train station information and train arrival time information of each station within a set time range; the apartment operation data includes: apartment position information, entrance and exit information of apartments within a set time range; and the apartment planning unit is configured to calculate the vacant conditions of all rooms in the apartment at all time nodes in the set time range based on the immigration information and the immigration information of the apartment in the set time range. The combined calculation is carried out on the train running and the apartment running, the apartment living management is automatically carried out, the intelligent degree of railway train running apartment management is improved, the human resources are saved, and the utilization rate of the apartment is improved.
Description
Technical Field
The invention belongs to the technical field of big data, and particularly relates to a railway train apartment management system based on big data.
Background
Apartments are an important carrier for tourism, leasing, accommodation and the like; centralized apartment, namely for the whole building, a plurality of buildings or a plurality of floors of a building, apartment related services are provided; distributed apartments collect scattered house resources in the same cell or cells, the same city or cities, and rent the house resources to the outside in a unified way. Distributed apartments are likely to be an important service means of value in the future. For example, in a plurality of rental houses in a city, a private person or a group performs unified management in a distributed apartment manner.
Railway transportation is a land transportation mode, and a locomotive traction train vehicle runs on two parallel rails and is an important transportation tool.
The railway carriage apartment is an important support for railway operation, how to better manage the railway carriage apartment and improve the management efficiency, and is a key problem of a railway system.
However, in the prior art, both centralized apartment and distributed apartment have problems of how to improve management efficiency and reduce manpower consumption.
Patent application No. CN201510417496.7A discloses a hotel apartment management system, which includes a cloud reservation management unit, a room management unit, and a service management unit, wherein the room management unit and the service management unit are connected to the cloud reservation management unit through a network, the cloud reservation management unit transmits corresponding room renting information to an owner through an owner port, and the cloud reservation management unit provides a client with a room reservation payment service through a reservation port.
The provided solution still aims at the traditional hotel management, and does not consider the particularity of railway vehicle apartment management.
Disclosure of Invention
In view of the above, the main object of the present invention is to provide a big data-based railroad driving apartment management system, which performs apartment attendance management automatically by performing joint calculation on train operation and apartment operation, thereby improving the intelligence degree of railroad driving apartment management, saving human resources, and improving the utilization rate of apartments.
In order to achieve the purpose, the technical scheme of the invention is realized as follows:
big data based railway train apartment management system, the system includes: the data acquisition unit is configured for acquiring train operation data and apartment operation data in real time; the train operation data includes: train station information in a set time range and time information of arrival of the train at each station; the apartment operation data includes: apartment position information, entrance and exit information of apartments within a set time range; the apartment planning unit is configured for calculating the vacant conditions of all rooms in the apartment under all time nodes in the set time range based on the immigration information and the immigration information of the apartment in the set time range; the target area determining unit is configured for equally dividing the map into a plurality of areas with equal areas, establishing train track information according to the train station information, dividing the passing and surrounding areas of the train according to the established train track information and the train station information, and screening out the areas containing apartments in the areas according to the apartment position information; and the check-in arrangement unit is configured for screening out apartments with the idle rate exceeding a set threshold value in a set time range in combination with the idle conditions of all apartments in the screened areas, sorting the apartments according to the idle rate from high to low in combination with the check-in demand information corresponding to the train, judging check-in of each room in each apartment, finding a room adapted to the check-in demand information and the apartments corresponding to the rooms, and finishing the check-in arrangement.
Further, the set time range includes at least three days, and the interval unit is day.
Further, the data acquisition unit includes: a train data acquisition subunit and an apartment data acquisition subunit; the apartment data acquisition subunit includes: a position information acquisition section and an immigration/emigration detection section; the position information acquisition part is a GPS positioning device which is arranged in the apartment and used for carrying out GPS positioning in real time, and the GPS positioning result is used as the apartment position information; the entry/exit detection section includes a plurality of sensor groups, each of which detects entry/exit of each room in the apartment, and each of the sensor groups includes a plurality of identical sensors.
Further, the check-in demand information includes: the number of people living in, the time of living in and the time of moving out.
Further, the immigration scheduling unit includes: an apartment screening unit configured to screen apartments having vacancy rates exceeding a set threshold within a set time range in combination with vacancy conditions of all apartments in the screened areas; and the arrangement unit is configured to combine the occupancy requirement information corresponding to the train, sort the apartments from high to low according to the vacancy rate, judge the occupancy of each room in each apartment, find the apartment adapted to the occupancy requirement information and the apartment corresponding to the room, and complete the occupancy arrangement.
Further, the method for making a check-in judgment of each room in each apartment by the scheduling unit includes: firstly, judging whether the starting time of the room vacancy is before the check-in time, if so, judging whether the ending time of the room vacancy is after the transfer-out time, if not, subtracting the upper limit of the number of people accommodated in the room from the number of people who check in the room to obtain the new number of people who check in the room, and then judging the next room until the new number of people who check in the room is 0.
Further, the method for calculating the vacancy condition of each room in the apartment under each time node in the set time range by the apartment planning unit based on the immigration information and the immigration information of the apartment in the set time range includes: dividing a set time range into a plurality of time periods, selecting a time node corresponding to a middle point of each time period according to each time period, subtracting emigration information from immigration information to obtain net immigration information, dividing the net immigration information by the total number of rooms of the apartment to obtain an immigration rate, and obtaining an idle condition based on the immigration rate.
Further, the system further comprises: and the big data management unit is configured for acquiring the vacancy rates of all the apartments in each time period in a set time period, sorting the vacancy rates from top to bottom, screening the apartments with the vacancy rates exceeding a set judgment threshold value, generating a room reduction command to the working end, and deleting the rooms in the apartments after the working end receives the room reduction command.
Further, the sensor group at least comprises a people number judgment sensor; the number judgment sensor is configured to calculate the probability of 1 person, 2 persons and 3 persons in the room at preset time intervals in a preset condition; the preset conditions comprise a plurality of preset periods, and the total number of people in the room 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 is judged to be 3 and the number of people corresponding to the previous calculation result is judged to be 2, the number of people is judged to be modified 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 number judgment sensor in each preset period before the current preset condition is ended, and performing superposition processing on the counting results to obtain a random sample of each preset period; each preset period corresponds to one random sample; the superposition processing comprises the following steps: counting the number of people to judge the overlapping condition of the trigger duration of the sensor; wherein, the determining that the current preset condition is an effective preset condition includes: if the calculated number of people is 3, and the probability of the 3-person state reaches a preset second judgment interval, determining that the current preset condition is an effective preset condition; the second discrimination interval is higher than the first discrimination interval.
Further, the people number judging sensor calculates the summary of the states of 1 person, 2 persons and 3 persons in the roomThe rate method is performed using the following formula:
wherein n is 1, 2 or 3; p n Probability, which is 1 person when n is 1, 2 persons when n is 2, and 3 persons when n is 3; t is a preset period; c n A first discrimination section when n is 1 and a second discrimination section when n is 2 or 3; 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 driving apartment and the running data of the train are respectively subjected to data analysis, so that the automatic management of the railway driving 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, the operation data of the apartments are analyzed to be reasonably distributed and configured according to the requirements, so that the utilization rate of the railway vehicle apartment is improved, and the vacancy rate of the railway vehicle apartment is reduced.
Drawings
Fig. 1 is a schematic system structure diagram of a big data-based railroad driving apartment management system according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of apartment planning for a big-data-based railroad-car apartment management system according to an embodiment of the present invention;
fig. 3 is a schematic diagram of train region screening of a big data-based railway driving apartment management system according to an embodiment of the present invention.
Detailed Description
The method of the present invention will be described in further detail below with reference to the accompanying drawings and embodiments of the invention.
Example 1
As shown in fig. 1, a big data based railroad apartment management system, the system comprising: the data acquisition unit is configured for acquiring train operation data and apartment operation data in real time; the train operation data includes: train station information and train arrival time information of each station within a set time range; the apartment operation data includes: apartment position information, entrance and exit information of apartments within a set time range; the apartment planning unit is configured for calculating the vacant conditions of all rooms in the apartment under all time nodes in the set time range based on the immigration information and the immigration information of the apartment in the set time range; the target area determining unit is configured for equally dividing the map into a plurality of areas with equal areas, establishing train track information according to the train station information, dividing the passing and surrounding areas of the train according to the established train track information and the train station information, and screening out the areas containing apartments in the areas according to the apartment position information; and the check-in arrangement unit is configured for screening out apartments with the idle rate exceeding a set threshold value in a set time range in combination with the idle conditions of all apartments in the screened areas, sorting the apartments according to the idle rate from high to low in combination with the check-in demand information corresponding to the train, judging check-in of each room in each apartment, finding a room adapted to the check-in demand information and the apartments corresponding to the rooms, and finishing the check-in arrangement.
In particular, the intelligent entrance guard can be added in the invention
The apartment can simultaneously support two modes of daily management and totally-enclosed management.
(1) Entrance guard's equipment
The apartment gate installs the automatic lock of formula of magnetism of inhaling additional, installs identity discernment additional in the inside and outside, unblanks after discerning the identity and lets go, and automatic locking after 20 seconds. And the door lock is opened in the power-off state. And correspondingly adjusting the apartment with the revolving door. The identity recognition device should be networked with the on-duty computer of the work room.
(2) Daily management
In the daily mode, the door lock is not limited, but the identities of people in and out are recorded, and an alarm is formed for informing a waiter of the situation of one in and out. The process is as follows:
the first step is as follows: and the crew member automatically puts in the apartment after the identity of the crew member is authenticated by the camera outside the apartment door. If the identity of unregistered crew, the additional staff and the visitor cannot be identified, the system can be put in and automatically displays the alarm of the strange visitor on a duty computer in a work room.
The second step is that: after the crew is self-service in leaving the apartment, the identity of the camera at the inner side of the apartment door is authenticated and then the crew is released. If the crew member is out without handling the bus, the crew member can also be released, and the on-duty computer in the work room automatically displays the warning that the crew member is out without leaving the bus.
The waiting attendants staying in the apartment hall, the dining hall and the like for a short time come in and go out without handling the lodging registration, and can be directly released after the identity is authenticated.
(3) Totally enclosed management
On the basis of a daily management mode, the crew can be unlocked after needing identity authentication and meeting the exit condition. Other people need to acquire the permission of the attendant for coming in and going out.
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 acquisition subunit includes: a position information acquisition section and an immigration/emigration detection section; the position information acquisition part is a GPS positioning device which is arranged in the apartment and used for carrying out GPS positioning in real time, and the GPS positioning result is used as the apartment position information; the entry/exit detection section includes a plurality of sensor groups, each of which detects entry/exit of each room in the apartment, and each of the sensor groups includes a plurality of identical sensors.
Example 4
On the basis of the above embodiment, the check-in demand information includes: the number of people living in, the time of living in and the time of moving out.
In particular, 2. intelligent accommodation
(1) Self-service registration
The crew member and the adding member can enter the computer through self-help to get in and get out of the house card. The process comprises the following steps:
the first step is as follows: the crew member who arrives at the apartment for the first time needs to be registered by the attendant through the attendant computer in the attendant room, and the registration information is uploaded to the apartment big data server.
The second step is that: registered crew members enter the computer through self-help to swipe face for authentication, detect body temperature and input for traffic. If the bus shifts to the different routes under special conditions, the bus caller can be prompted to confirm the change of the routes.
The third step: the identity authentication is correct, the body temperature is normal, the self-help entering-dwelling computer displays 'agreeing to live', and the crew is asked to select a free room in a rest area corresponding to the unit to which the crew member belongs.
The fourth step: after the room is selected, the computer prompts the successful registration of the entrance and the residence to automatically pop up the house card. And when the authentication fails or the body temperature is abnormal, automatically notifying the operator to intervene.
The fifth step: if the room needs to be changed, the crew can click to 'self-help room change' through the self-help computer entering the house, insert the room card back and select the changed room number. The self-help residence computer pops up the corresponding room card again to inform the crew that the room transfer is finished and the crew please get a new room card.
The participating cadres should be handled separately and in a classified manner on the self-help entering-living computer. If the road is selected to be handed over, the taxi can be linked with the crew members in the same train number for calling; if the departure time is determined, the user can call for the shift at the point; and the time can be automatically mastered without calling for work.
(2) Service notification
After the self-help in-dwelling computer issues the house card to the crew member, the service desk panel personal computer automatically sends a notice to a cleaner in the area where the room is visited, and a driver master of XXX in the XX office enters the XXX room and asks for ready reception.
And the check-in information of the crew is uploaded to an apartment big data server and can be called by the crew transport security system.
(3) Automatic dispatching team
One is class dispatching. For the passenger transport apartment, the class is automatically dispatched according to a scheduled schedule. After the freight apartment is interfaced with the crew transport security system, the crew department can dispatch the duty according to the attendance and rest conditions of crew members in the apartment, and the apartment automatically receives the plan and automatically calls the duty, thereby realizing the integration of dispatching and calling. Under the condition that the crew operation security system is not networked, the apartment can dispatch the shift according to the existing program.
Second, to call and respond. The process is as follows:
the first step is as follows: when the crew calls the duty, the room terminal plays the voice of the crew and the crew can answer the voice or confirm the answer by touching the screen.
The second step is that: the room terminal transmits the response condition back to the on-duty computer of the work room.
The third step: the touch response directly plays the voice of 'thank you for coordination'. And in the voice response, the computer analyzes the response voice into characters, understands the response semantics and judges whether the crew member normally responds. If the crew answers, hears and knows, the artificial intelligent voice recognition system judges the response specification of the crew and automatically plays the voice of 'thank you for cooperation'. If the crew member does not respond in the prescribed language, the speaker automatically plays the voice "thank you for company! Next time a canonical response is requested ".
The fourth step: after the crew answers, the attendant on duty computer in the duty room records the answering content and the answering time, and prompts the crew of the 'XXX room that the crew has answered'.
The fifth step: two times of calling do not get a response, after a plurality of minutes, a XXX attendant in a XXX room is played on a public tablet computer in areas such as a dining room, a hall, a rest room and the like in a voice and text manner, wherein the voice and the text are played! You have called the car with XXX, ask you to answer as soon as possible, thank you for coordination! ".
And a sixth step: after listening to the duty-calling broadcast in the public area, the crew can nearby respond by brushing the face of any public tablet computer. After several minutes, if there is no answer, the operator is automatically warned.
And under the condition that the room tablet computer has a fault, reserving the duty calling loudspeaker as emergency equipment. The calling loudspeaker broadcasts the calling voice, and the pickup microphone monitors. After the voice is transmitted back to the on-duty computer of the work room, the voice is also analyzed and recorded in an artificial intelligence way, and the voice is fed back to the crew and the work attendant.
Example 5
On the basis of the above embodiment, the admission scheduling unit includes: an apartment screening unit configured to screen apartments having vacancy rates exceeding a set threshold within a set time range in combination with vacancy conditions of all apartments in the screened areas; and the arrangement unit is configured to combine the occupancy requirement information corresponding to the train, sort the apartments from high to low according to the vacancy rate, judge the occupancy of each room in each apartment, find the apartment adapted to the occupancy requirement information and the apartment corresponding to the room, and complete the occupancy arrangement.
Example 6
On the basis of the above embodiment, the method for making a check-in judgment of each room in each apartment by the schedule unit includes: firstly, judging whether the starting time of the room vacancy is before the check-in time, if so, judging whether the ending time of the room vacancy is after the transfer-out time, if not, subtracting the upper limit of the number of people accommodated in the room from the number of people who check in the room to obtain the new number of people who check in the room, and then judging the next room until the new number of people who check in the room is 0.
In particular, notification of exit
After the crew transacts the leave-through procedure and returns the room card, the room enters the state of readiness, and the computer of the service desk displays that the crew in the XXX room returns the room card and please prepare the room in time.
Photo-taking trace
The cleaner enters a room with a tablet personal computer, and the images are taken and stored after the room is prepared.
Fault repair reporting device
When the sanitation workers are in service, the sanitation workers find out the equipment fault of the room facilities, click a fault repair button of the corresponding room and inform the maintainers of the fault repair button. The room enters a "fault" state.
Maintenance
And a service desk tablet computer is separately configured in the maintenance room to be registered by the identity of a maintenance worker.
And shooting and confirming after the maintenance is finished by the maintainer.
If the maintenance worker can not maintain, the worker is informed of 'XXX room XXX is failed, can not maintain and is temporarily stopped'.
Example 7
On the basis of the above embodiment, the method for calculating the vacancy situations of each room in the apartment under each time node in the set time range by the apartment planning unit based on the immigration information and the immigration information of the apartments in the set time range includes: dividing a set time range into a plurality of time periods, selecting a time node corresponding to a middle point of each time period according to each time period, subtracting emigration information from immigration information to obtain net immigration information, dividing the net immigration information by the total number of rooms of the apartment to obtain an immigration rate, and obtaining an idle condition based on the immigration rate.
Example 8
On the basis of the above embodiment, the system further includes: and the big data management unit is configured for acquiring the vacancy rates of all the apartments in each time period in a set time period, sorting the vacancy rates from top to bottom, screening the apartments with the vacancy rates exceeding a set judgment threshold value, generating a room reduction command to the working end, and deleting the rooms in the apartments after the working end receives the room reduction command.
Example 9
On the basis of the previous embodiment, the sensor group at least comprises one people number judgment sensor; the number judgment sensor is configured to calculate the probability of 1 person, 2 persons and 3 persons in the room at preset time intervals in a preset condition; the preset conditions comprise a plurality of preset periods, and the total number of people in the room 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 and the number of people corresponding to the previous calculation result judging state is 2, the number of people judging state is corrected 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 number judgment sensor in each preset period before the current preset condition is ended, and performing superposition processing on the counting results to obtain a random sample of each preset period; each preset period corresponds to one random sample; the superposition processing comprises the following steps: counting the number of people to judge the overlapping condition of the trigger duration of the sensor; wherein, the determining that the current preset condition is an effective preset condition includes: if the calculated number of people is 3, and the probability of the 3-person state reaches a preset second judgment interval, determining that the current preset condition is an effective preset condition; the second discrimination interval is higher than the first discrimination interval.
Specifically, the first step: regular bus starting from apartment
After the crew is self-service and leaves the house, the crew is reminded to form an electronic dispatching list and a dispatching two-dimensional code dispatching regular bus driver duty room display screen, and the voice reminding is carried out.
The passenger transport class can be automatically dispatched according to the fixed class, and the freight transport class can be dispatched by a crew member. The person waiting for duty can manually designate the driver of the regular bus or the regular bus, or can not designate the driver to automatically adjust the dosage.
The driver scans the two-dimensional code of the bus dispatching and reads the bus dispatching list by using the 'smart regular bus' handset.
The second step is that: go out of the car
The regular bus driver scans the two-dimensional code of the regular bus, binds the regular bus and checks the condition of the bus.
The driver of the regular bus takes the attendant according to the dispatching list, and checks the value of the dispatching list, the number of the passengers, the time requirement, the destination and the like.
Example 10
On the basis of the above embodiment, the method for calculating the probability of 1 person, 2 persons and 3 persons in the room by the people number judging sensor is performed by using the following formula:
wherein n is 1, 2 or 3; p n Probability, which is 1 person when n is 1, 2 persons when n is 2, and 3 persons when n is 3; t is a preset period; c n A first discrimination section when n is 1 and a second discrimination section when n is 2 or 3; t is a preset time.
It should be noted that, the system provided in the foregoing embodiment is only illustrated by dividing the functional units, and in practical applications, the functions may be distributed by different functional units according to needs, that is, the units or steps in the embodiments 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 decomposed into multiple sub-units, so as to complete all or the functions of the units described above. The names of the units and steps involved in the embodiments of the present invention are only for distinguishing the units or steps, and are not to be construed as unduly limiting the present invention.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes and related descriptions of the storage device and the processing device described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
Those of skill in the art would 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 programs corresponding to the elements, method steps may be located in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a 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. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The terms "first," "second," and the like are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order.
The terms "comprises," "comprising," or any other similar term 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.
So far, the technical solutions of the present invention have 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 the present invention is obviously not limited to these specific embodiments. Equivalent modifications or substitutions of the related art marks may be made by those skilled in the art without departing from the principle of the present invention, and the technical solutions after such modifications or substitutions will fall within the protective scope of the present invention.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention.
Claims (10)
1. Big data based railroad apartment management system, characterized in that the system comprises: the data acquisition unit is configured for acquiring train operation data and apartment operation data in real time; the train operation data includes: train station information and train arrival time information of each station within a set time range; the apartment operation data includes: apartment position information, entrance and exit information of apartments within a set time range; the apartment planning unit is configured for calculating the vacant conditions of all rooms in the apartment under all time nodes in the set time range based on the immigration information and the immigration information of the apartment in the set time range; the target area determining unit is configured for equally dividing the map into a plurality of areas with equal areas, establishing train track information according to the train station information, dividing the passing and surrounding areas of the train according to the established train track information and the train station information, and screening out the areas containing apartments in the areas according to the apartment position information; and the check-in arrangement unit is configured for screening out apartments with the idle rate exceeding a set threshold value in a set time range in combination with the idle conditions of all apartments in the screened areas, sorting the apartments according to the idle rate from high to low in combination with the check-in demand information corresponding to the train, judging check-in of each room in each apartment, finding a room adapted to the check-in demand information and the apartments corresponding to the rooms, and finishing the check-in arrangement.
2. The system of claim 1, wherein the set time frame comprises at least three days and is in units of days.
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 acquisition subunit includes: a position information acquisition section and an immigration/emigration detection section; the position information acquisition part is a GPS positioning device which is arranged in the apartment and used for carrying out GPS positioning in real time, and the GPS positioning result is used as the apartment position information; the entry/exit detection section includes a plurality of sensor groups, each of which detects entry/exit of each room in the apartment, and each of the sensor groups includes a plurality of identical sensors.
4. The system of claim 3, wherein the check-in demand information comprises: the number of people living in, the time of living in and the time of moving out.
5. The system of claim 4, wherein the immigration schedule unit comprises: an apartment screening unit configured to screen apartments having vacancy rates exceeding a set threshold within a set time range in combination with vacancy conditions of all apartments in the screened areas; and the arrangement unit is configured to combine the occupancy requirement information corresponding to the train, sort the apartments from high to low according to the vacancy rate, judge the occupancy of each room in each apartment, find the apartment adapted to the occupancy requirement information and the apartment corresponding to the room, and complete the occupancy arrangement.
6. The system of claim 5, wherein the method of the placement unit making a check-in determination for each room in each apartment comprises: firstly, judging whether the starting time of the room vacancy is before the check-in time, if so, judging whether the ending time of the room vacancy is after the transfer-out time, if not, subtracting the upper limit of the number of people accommodated in the room from the number of people who check in the room to obtain the new number of people who check in the room, and then judging the next room until the new number of people who check in the room is 0.
7. The system of claim 6, wherein the apartment planning unit, based on the immigration information and the immigration information of the apartments within the set time range, calculates the vacancy of each room in the apartment at each time node within the set time range, comprises: dividing a set time range into a plurality of time periods, selecting a time node corresponding to a middle point of each time period according to each time period, subtracting emigration information from immigration information to obtain net immigration information, dividing the net immigration information by the total number of rooms of the apartment to obtain an immigration rate, and obtaining an idle condition based on the immigration rate.
8. The system of claim 7, wherein the system further comprises: and the big data management unit is configured for acquiring the vacancy rates of all the apartments in each time period in a set time period, sorting the vacancy rates from top to bottom, screening the apartments with the vacancy rates exceeding a set judgment threshold value, generating a room reduction command to the working end, and deleting the rooms in the apartments after the working end receives the room reduction command.
9. The system of claim 8, wherein the sensor group comprises at least one people determination sensor; the number judgment sensor is configured to calculate the probability of 1 person, 2 persons and 3 persons in the room at preset time intervals in a preset condition; the preset conditions comprise a plurality of preset periods, and the total number of people in the room 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 is judged to be 3 and the number of people corresponding to the previous calculation result is judged to be 2, the number of people is judged to be modified 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 number judgment sensor in each preset period before the current preset condition is ended, and performing superposition processing on the counting results to obtain a random sample of each preset period; each preset period corresponds to one random sample; the superposition processing comprises the following steps: counting the number of people to judge the overlapping condition of the trigger duration of the sensor; wherein the determining that the current preset condition is an effective preset condition includes: if the calculated number of people is 3, and the probability of the 3-person state reaches a preset second judgment interval, determining that the current preset condition is an effective preset condition; the second discrimination interval is higher than the first discrimination interval.
10. The system of claim 9, wherein the people number judging sensor calculates the probability of 1 person, 2 persons and 3 persons in the room using the following formula:
wherein n is 1, 2 or 3; p n Probability, which is 1 person when n is 1, 2 persons when n is 2, and 3 persons when n is 3; t is a preset period; c n A first discrimination section when n is 1 and a second discrimination section when n is 2 or 3; t is a preset time.
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| CN115187150A (en) * | 2022-09-13 | 2022-10-14 | 绿城科技产业服务集团有限公司 | Talent apartment distribution method and system based on intelligent park management platform |
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