CN116798266B - Smart city internet management method and system based on big data - Google Patents
Smart city internet management method and system based on big data Download PDFInfo
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Abstract
The invention discloses a smart city internet management method and system based on big data, wherein the method provided by the invention can acquire the real-time position of a vehicle through an intelligent terminal, and acquire the position of a parking lot which is closest to the vehicle and has the number of idle parking spaces larger than a first preset number, namely the position of a first target parking lot through a server; and the parking lot information corresponding to the first target parking place is sent to the corresponding intelligent terminal, so that a driver of the vehicle can timely and rapidly know the parking lot with the current nearest idle parking space, and the problem that the driver can only search the parking lot by means of guideboard guidance and cannot judge that the searched parking lot has the idle parking space is solved.
Description
Technical Field
The invention relates to the technical field of big data, in particular to a smart city Internet management method and system based on big data.
Background
With the continuous progress and development of society, the trend development of urban treatment is more and more obvious, urban population is increased, and the quantity of vehicles in cities is rapidly increased, but the ratio of parking spaces in urban construction is far less than the quantity of vehicles, and particularly in the trip peak time period, parking difficulty becomes a problem to be solved in urban management.
In cities, besides commercial parking lots such as urban parking spaces on two sides of roads, off-road public parking spaces, writing buildings and the like, parking lots such as commercial parking lots, social parking lots, government unit offices and the like are also included; however, the driver can only find the parking lot by means of guideboard guidance, and can not judge that the found parking lot has an idle parking space, so that a lot of time is wasted in parking, and the parking space resources of the city can not be utilized rapidly and fully.
Disclosure of Invention
The invention mainly aims to provide a smart city Internet management method and system based on big data, which aim to solve the problems that a driver can only search a parking lot by means of guideboard guidance and can not judge that the searched parking lot has an idle parking space.
The technical scheme provided by the invention is as follows:
a smart city Internet management method based on big data is applied to a smart city Internet management system based on big data; the system comprises a server, an intelligent terminal and a parking lot acquisition terminal; the parking lot acquisition terminals are arranged in the corresponding parking lots; the intelligent terminal and the parking lot acquisition terminal are both in communication connection with the server; the intelligent terminals are arranged on corresponding vehicles; the method comprises the following steps:
the parking lot acquisition terminal acquires parking lot information of a corresponding parking lot in real time and sends the parking lot information to the server, wherein the parking lot information comprises the number of idle parking spaces and the parking lot position;
the intelligent terminal generates parking demand information and sends the parking demand information to the server, wherein the parking demand information comprises the real-time position of the vehicle;
the server marks a vehicle corresponding to parking demand information as a first target vehicle based on the parking lot information, marks a parking lot which is closest to the first target vehicle and has the number of idle parking spaces larger than a first preset number as a first target parking lot, and sends the parking lot information corresponding to the first target parking place to an intelligent terminal corresponding to the first target vehicle;
the intelligent terminal generates and displays navigation information based on the received yard information, wherein the navigation information is used for indicating the vehicle to move from the current position to the first target parking lot.
Preferably, the server marks a vehicle corresponding to the parking requirement information as a first target vehicle based on the parking lot information, marks a parking lot closest to the first target vehicle and having a number of free parking spaces larger than a first preset number as a first target parking lot, and sends the parking lot information corresponding to the first target parking place to an intelligent terminal corresponding to the first target vehicle, and further includes:
the method comprises the steps that a server obtains a traffic flow density proportion value of a current city in a current time period;
the server generates a first preset number based on the traffic density proportion value of the current city in the current time period.
Preferably, the server obtains a traffic flow density proportion value of the current city in the current time period, including:
the server obtains the average value of the number of the generated parking demand information of the current city in each second preset time period every day in the past first preset time period, and marks the average value as the active number;
the server generates traffic flow density proportion values corresponding to the second preset time periods based on the active quantity of the second preset time periods:
wherein I represents an ith second preset time period of each day, I is a positive integer less than or equal to I, and I is the total number of second preset time periods in each day; c (C) bi The traffic flow density proportion value corresponding to the ith second preset time period; h is a i The method comprises the steps of setting the number of active cities in the current city in the ith second preset time period in the past first preset time period; h is a max The maximum value of the active number of each second preset time period of the current city in the past first preset time period is set.
Preferably, the server generates a first preset number based on the traffic density proportion value of the current city in the current time period, including:
the server marks a traffic flow density proportion value corresponding to the current time period as a target proportion value based on the traffic flow density proportion value corresponding to the current time period and each second preset time period;
the server generates a first preset number based on the target proportion value:
S 1 ＝[S b ×Cb m ]+1；
wherein S is 1 Is a first preset number; s is S b Is a standard number, is a positive integer greater than 1; cb (Cb) m Is the target ratio value.
Preferably, the yard information further comprises the number of pending parking spaces; the system also comprises a display module which is in communication connection with the server; the server marks a vehicle corresponding to parking demand information as a first target vehicle based on the parking lot information, marks a parking lot which is closest to the first target vehicle and has a number of idle parking spaces larger than a first preset number as a first target parking lot, and sends the parking lot information corresponding to the first target parking place to an intelligent terminal corresponding to the first target vehicle, and then the server further comprises:
the server reduces the number of idle parking spaces of the first target parking lot corresponding to the first target vehicle by 1;
the server adds 1 to the number of the undetermined parking spaces of the first target parking lot corresponding to the first target vehicle;
and the server displays the parking lot information corresponding to each parking place in the current city through the display module.
Preferably, the yard information further includes the number of parking spaces already in place; the parking lot acquisition terminal comprises a camera arranged at the entrance of the parking lot; the method further comprises the steps of:
the server judges whether the first target vehicle enters a first target parking lot or not within a third preset time period after receiving the parking lot information based on license plate information shot by the camera;
if yes, the server reduces the number of the undetermined parking spaces of the first target parking lot corresponding to the first target vehicle by 1, and adds 1 to the number of the already-parked parking spaces;
if not, the server adds 1 to the number of the idle parking spaces of the first target parking lot corresponding to the first target vehicle, and subtracts 1 to the number of the pending parking spaces.
Preferably, the yard information further comprises the number of total parking spaces; the parking demand information further includes a priority mode, wherein the priority mode is any one of a stability priority or a distance priority; the intelligent terminal generates parking demand information and sends the parking demand information to the server, and then the intelligent terminal further comprises:
the server marks the vehicle corresponding to the parking requirement information as a second target vehicle based on the parking lot information;
when the priority mode is distance priority, the server marks the parking lot which is closest to the second target vehicle and has the number of parking spaces which is not equal to the number of the total parking spaces as a parking lot to be selected based on the parking lot information;
the server judges whether the number of the idle parking spaces of the parking lot to be selected is 0;
if the distance between the vehicle corresponding to the to-be-determined parking space of the to-be-selected parking space and the to-be-selected parking space is 0, the server acquires the real-time position of the vehicle corresponding to the to-be-determined parking space of the to-be-selected parking space to judge whether the distance between the vehicle corresponding to the to-be-determined parking space of the to-be-selected parking space and the to-be-selected parking space is larger than the distance between the second target vehicle and the to-be-selected parking space;
if yes, the server marks the parking lot to be selected as a second target parking lot;
if not, the server marks the parking lot to be selected as a drop-selected parking lot, marks the parking lot which is closest to the second target vehicle and has the number of parking spaces not equal to the number of the total parking spaces and is not the drop-selected parking lot as the parking lot based on the parking lot information, then executes the steps of judging whether the number of the idle parking spaces of the parking lot to be selected is 0 or not by the server again, and then;
if the parking lot is not 0, the server marks the parking lot to be selected as a second target parking lot;
when the priority mode is stable priority, the server marks a parking lot which is closest to a second target vehicle and has a number of idle parking spaces larger than a second preset number as a second target parking lot based on the parking lot information, wherein the second preset number is larger than the first preset number;
and the server sends the yard information corresponding to the second target parking place to the intelligent terminal corresponding to the second target vehicle.
Preferably, the intelligent terminal generates parking requirement information and sends the parking requirement information to the server, and then the intelligent terminal further comprises:
the server marks the vehicle corresponding to the parking requirement information as a third target vehicle based on the parking lot information;
when the priority mode is distance priority, the server judges whether a waiting instruction sent by the intelligent terminal is acquired, wherein the waiting instruction is generated by a user through the intelligent terminal;
if a waiting instruction sent by the intelligent terminal is obtained, the server marks a parking lot which is nearest to the third target vehicle and has 0 idle parking spaces as a first comparison parking lot;
the server marks the parking lot closest to the third target vehicle and with the number of the idle parking spaces larger than 0 as a second comparison parking lot;
the server judges whether the distance between the first comparison parking lot and the third target vehicle is smaller than the distance between the second comparison parking lot and the third target vehicle;
if yes, the server acquires the departure interval duration of the current time period of the first comparison parking lot and the interval duration between the latest departure time and the current time so as to calculate and obtain the estimated waiting duration;
the server calculates the required time length from the third target vehicle to the second comparison parking lot, and marks the time length as estimated driving time length;
when the estimated waiting time is smaller than the estimated driving time, the server marks the first comparison parking lot as a third-order parking lot;
and the server sends the yard information corresponding to the third target parking place to the intelligent terminal corresponding to the third target vehicle.
Preferably, the server obtains a departure interval duration of a current time period of the first comparison parking lot, and an interval duration between a latest departure time and the current time, so as to calculate and obtain an estimated waiting duration, including:
the server obtains the average value of the number of the vehicles in each second preset time period of each day in the past first preset time period of the first comparison parking lot, so as to calculate and obtain the duration of the vehicle outlet interval corresponding to each second preset time period:
wherein I represents an ith second preset time period of each day, I is a positive integer less than or equal to I, and I is the total number of second preset time periods in each day; c (C) pi The departure interval duration corresponding to the ith second preset time period is set; s is S i The average value of the number of outgoing vehicles corresponding to the ith second preset time period is obtained; t is t 2 The unit is s for the duration of the second preset time period;
the server obtains the departure interval duration of the current time period of the first comparison parking lot based on the current time and the departure interval duration corresponding to each second preset time period;
the server calculates estimated waiting time based on the departure interval time of the first comparison parking lot in the current time period and the interval time between the latest departure time and the current time:
wherein t is y For estimating the waiting time length, the unit is s; t is t d The unit is s for the departure interval duration of the current time period of the first comparison parking lot; t is t c And the unit is s for the interval duration between the latest departure time and the current time of the first comparison parking lot.
The invention also provides a smart city internet management system based on big data, which is applied to the smart city internet management method based on the big data; the system comprises a server, an intelligent terminal and a parking lot acquisition terminal; the parking lot acquisition terminals are arranged in the corresponding parking lots; the intelligent terminal and the parking lot acquisition terminal are both in communication connection with the server; the intelligent terminal is arranged on a corresponding vehicle.
Through the technical scheme, the following beneficial effects can be realized:
according to the smart city internet management method based on the big data, the real-time position of the vehicle can be obtained through the intelligent terminal, and the position of the parking lot which is closest to the vehicle and has the number of idle parking spaces larger than the first preset number, namely the position of the first target parking lot, is obtained through the server; and the parking lot information corresponding to the first target parking place is sent to the corresponding intelligent terminal, so that a driver of the vehicle can timely and rapidly know the parking lot with the current nearest idle parking space, and the problem that the driver can only search the parking lot by means of guideboard guidance and cannot judge that the searched parking lot has the idle parking space is solved.
Drawings
In order to more clearly illustrate the embodiments of the present 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, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to the structures shown in these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a first embodiment of a smart city internet management method based on big data according to the present invention.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
The invention provides a smart city Internet management method and system based on big data.
As shown in fig. 1, in a first embodiment of a smart city internet management method based on big data according to the present invention, the present smart city internet management method based on big data is applied to a smart city internet management system based on big data; the system comprises a server, an intelligent terminal and a parking lot acquisition terminal; the parking lot acquisition terminals are arranged in the corresponding parking lots; the intelligent terminal and the parking lot acquisition terminal are both in communication connection with the server; the intelligent terminals are arranged on corresponding vehicles; the embodiment comprises the following steps:
step S110: the parking lot acquisition terminal acquires parking lot information of a corresponding parking lot in real time and sends the parking lot information to the server, wherein the parking lot information comprises the number of idle parking spaces and the parking lot position.
Specifically, the number of parking lot acquisition terminals is multiple, namely, each parking lot in the whole city is correspondingly provided with the parking lot acquisition terminals; the collection mode can be that a manager of the parking lot manually inputs the parking lot position; the parking lot acquisition terminal further comprises an infrared sensor arranged on each parking space of the parking lot, so that whether vehicles are parked on the parking spaces or not is judged, whether the parking spaces are free parking spaces or not is judged, and the number of the free parking spaces of the parking lot is known.
Step S120: the intelligent terminal generates parking demand information and sends the parking demand information to the server, wherein the parking demand information comprises the real-time position of the vehicle.
Specifically, the intelligent terminal may be a smart phone, that is, when a user drives to a certain destination, parking requirement information may be generated by a manual input manner.
Step S130: the server marks a vehicle corresponding to the parking demand information as a first target vehicle based on the parking lot information, marks parking lots which are closest to the first target vehicle and have the number of free parking spaces larger than a first preset number (for example, 3) as first target parking lots, and sends the parking lot information corresponding to the first target parking places to the intelligent terminal corresponding to the first target vehicle.
Specifically, the first target vehicle is a vehicle that needs to be parked at present, and in order to ensure a certain parking success rate, a parking lot with a number of idle parking spaces greater than 3 needs to be marked as a first target parking lot.
Step S140: the intelligent terminal generates and displays navigation information based on the received yard information, wherein the navigation information is used for indicating the vehicle to move from the current position to the first target parking lot.
According to the smart city internet management method based on the big data, the real-time position of the vehicle can be obtained through the intelligent terminal, and the position of the parking lot which is closest to the vehicle and has the number of idle parking spaces larger than the first preset number, namely the position of the first target parking lot, is obtained through the server; and the parking lot information corresponding to the first target parking place is sent to the corresponding intelligent terminal, so that a driver of the vehicle can timely and rapidly know the parking lot with the current nearest idle parking space, and the problem that the driver can only search the parking lot by means of guideboard guidance and cannot judge that the searched parking lot has the idle parking space is solved.
In a second embodiment of the smart city internet management method based on big data according to the present invention, based on the first embodiment, step S130, further includes the following steps:
step S210: and the server acquires the traffic flow density proportion value of the current city in the current time period.
Specifically, the traffic density ratio value is used for expressing the traffic density of the current city in the current time period, and the larger the traffic density ratio value is, the more vehicles going out at the current moment are, the more the parking spaces are in tension, and the corresponding first preset quantity is required to be increased, so that the first target vehicle can be ensured to actually have the idle vehicle to park when entering the first target parking lot.
Step S220: the server generates a first preset number based on the traffic density proportion value of the current city in the current time period.
In a third embodiment of the smart city internet management method based on big data according to the present invention, based on the second embodiment, step S210 includes the following steps:
step S310: the server obtains an average value of the number of generated parking demand information of the current city within each second preset time period (1 hour) of each day within a past first preset time period (for example, 1 year), wherein the first preset time period is greater than 2 days, and the second preset time period is less than 1 day, and marks the average value as an active number.
Specifically, the server obtains an average value of the number of parking demand information generated by the current city in each hour of each day over the past 1 year, which average value can reflect the number of outgoing vehicles.
Step S320: the server generates traffic flow density proportion values corresponding to the second preset time periods based on the active quantity of the second preset time periods:
wherein I represents an I-th second preset time period of each day, I is a positive integer less than or equal to I, and I is the total number (24) of the second preset time periods in each day; c (C) bi The traffic flow density proportion value corresponding to the ith second preset time period; h is a i The method comprises the steps of setting the number of active cities in the current city in the ith second preset time period in the past first preset time period; h is a max The maximum value of the active number of each second preset time period of the current city in the past first preset time period is set.
Specifically, the present embodiment provides a scheme for calculating the traffic density ratio value corresponding to each second preset time period, that is, a day is divided into 24 second preset time periods, the duration of each second preset time period is 1 hour, then the traffic density ratio value corresponding to each hour is generated, the larger the value is, the more active vehicles are, the larger the corresponding parking requirements are, and the more compact the parking space is.
In a fourth embodiment of the smart city internet management method based on big data according to the present invention, based on the second embodiment, step S220 includes the following steps:
step S410: the server marks the traffic density proportion value corresponding to the current time period as a target proportion value based on the traffic density proportion value corresponding to the current time period and each second preset time period.
Specifically, for example, when the current time is 8 pm and 15 min, the traffic flow density proportion value corresponding to the time period from 8 pm to 9 pm is correspondingly obtained.
Step S420: the server generates a first preset number based on the target proportion value:
S 1 ＝[S b ×Cb m ]+1
wherein S is 1 Is a first preset number; s is S b The standard number is a positive integer greater than 1, and in the embodiment, 5 is taken; cb (Cb) m Is the target ratio value.
Specifically, through this embodiment, a first preset number can be obtained by calculation, where the first preset number is positively related to a traffic density proportion value corresponding to a time period where the first preset number is located, the greater the traffic density proportion value is, the more active vehicles are, the greater corresponding parking demands are, and the more intense the parking spaces are, the greater the first preset number is needed to ensure that there are idle parking spaces after the vehicles enter the first target parking lot (because there are vehicles that directly enter the first target parking lot without using an intelligent terminal, the method cannot count the traveling situation of the part of vehicles).
In a fifth embodiment of the smart city internet management method based on big data according to the present invention, based on the first embodiment, the yard information further includes the number of pending parking spaces (where the pending parking spaces are pre-locked by the corresponding target vehicles, but the target vehicles are not yet parked on the parking spaces); the system further includes a display module (e.g., a display screen) communicatively coupled to the server; step S130, further comprising the following steps:
step S510: the server reduces the number of idle parking spaces of the first target parking lot corresponding to the first target vehicle by 1.
Step S520: and the server adds 1 to the number of the undetermined parking spaces of the first target parking lot corresponding to the first target vehicle.
Specifically, after the server sends the parking space information corresponding to the first target parking place to the intelligent terminal corresponding to the first target vehicle, it is indicated that the first target vehicle has reserved one parking space in the first target parking lot, and only has not been parked at present, the number of idle parking spaces in the first target parking lot corresponding to the first target vehicle needs to be reduced by 1, and the number of pending parking spaces in the first target parking lot corresponding to the first target vehicle needs to be increased by 1.
Step S530: and the server displays the parking lot information corresponding to each parking place in the current city through the display module.
In a sixth embodiment of the smart city internet management method based on big data according to the present invention, based on the fifth embodiment, the yard information further includes the number of already-parked spaces (here, the already-parked spaces are spaces in which the vehicle has been parked); the parking lot acquisition terminal comprises a camera arranged at the entrance of the parking lot; the embodiment further comprises the following steps:
step S610: the server judges whether the first target vehicle enters the first target parking lot within a third preset time period (for example, 10 minutes) after receiving the parking lot information based on license plate information shot by the camera.
Specifically, the third preset time period is obtained based on dividing the distance between the first target vehicle and the first target parking lot when the first target vehicle receives the yard information by the average speed of the first target vehicle, and then adding the buffer time period (for example, 5 minutes).
If yes, step S620 is executed: the server reduces the number of the undetermined parking spaces of the first target parking lot corresponding to the first target vehicle by 1, and increases the number of the already-parked parking spaces by 1.
Specifically, if the first target vehicle enters the first target parking lot within a third preset time period after receiving the parking lot information, the number of pending parking spaces of the first target parking lot corresponding to the first target vehicle is directly reduced by 1, and the number of already-parked parking spaces is increased by 1.
If not, go to step S630: the server adds 1 to the number of the idle parking spaces of the first target parking lot corresponding to the first target vehicle, and subtracts 1 to the number of the pending parking spaces.
Specifically, if the first target vehicle does not enter the first target parking lot within the third preset time period after receiving the parking lot information, it is indicated that the first target vehicle does not enter the first target parking lot as expected, and in order to fully utilize the parking lot resources, the preset parking spaces need to be released, so that the number of idle parking spaces of the first target parking lot corresponding to the first target vehicle is increased by 1, and the number of pending parking spaces is reduced by 1.
In a seventh embodiment of the smart city internet management method based on big data provided by the invention, based on the sixth embodiment, the yard information further includes the number of total parking spaces; the parking demand information further includes a priority mode, wherein the priority mode is any one of a stability priority or a distance priority; step S120, further comprising the following steps:
step S710: the server marks the vehicle corresponding to the parking requirement information as a second target vehicle based on the yard information.
Step S720: when the priority mode is distance priority, the server marks, as a parking lot to be selected, a parking lot which is closest to the second target vehicle and in which the number of already-parked spaces is not equal to the number of total parking spaces, based on the parking lot information.
Specifically, if the priority mode is distance priority, the vehicle needs to park nearby as soon as possible, so that the parking lot closest to the second target vehicle and having the number of parking spaces not equal to the number of total parking spaces (indicating that the parking lot has free parking spaces or reserved parking spaces) is marked as a reserved parking lot,
step S730: the server judges whether the number of the idle parking spaces of the parking lot to be selected is 0.
Step S740: if the distance between the vehicle corresponding to the to-be-determined parking space of the to-be-selected parking space and the to-be-selected parking space is 0, the server acquires the real-time position of the vehicle corresponding to the to-be-determined parking space of the to-be-selected parking space to judge whether the distance between the vehicle corresponding to the to-be-determined parking space of the to-be-selected parking space and the to-be-selected parking space is larger than the distance between the second target vehicle and the to-be-selected parking space.
Specifically, if the idle parking space is 0, it is indicated that the parking space to be selected has only the parking space to be determined, and therefore it is required to determine whether the distance between the vehicle corresponding to the parking space to be determined in the parking space to be selected and the parking space to be selected is greater than the distance between the second target vehicle and the parking space to be selected.
If yes, go to step S750: the server marks the parking lot to be selected as a second target parking lot.
Specifically, if the vehicle is larger than the target parking lot, the second target vehicle can reach the target parking lot earlier than the vehicle corresponding to the target parking lot, so the target parking lot of the second target vehicle is directly used as the target parking lot of the second target vehicle, namely the second target parking lot.
If not, go to step S760: the server marks the parking lot to be selected as a drop-selected parking lot, and marks, as a parking lot to be selected, a parking lot which is closest to the second target vehicle and has a number of parking spaces different from the total number of parking spaces and is not a drop-selected parking lot based on the parking lot information, and then performs step S730 again, and the following steps.
Specifically, if the number of parking spaces is not greater than the number of parking spaces, it is indicated that the second target vehicle cannot reach the parking space to be selected earlier than the vehicle corresponding to the parking space to be determined, so that the next parking space to be selected needs to be found for determination, the parking space to be selected is directly marked as a drop parking space, and based on the parking space information, the parking spaces closest to the second target vehicle and having the number of parking spaces not equal to the number of total parking spaces and not being the drop parking space are marked as the parking space to be selected, and then step S730 is executed again, and the following steps are executed.
Step S770: if the parking lot is not 0, the server marks the parking lot to be selected as a second target parking lot.
Specifically, if the parking lot is not 0, indicating that the parking lot to be selected has an idle parking space, directly marking the parking lot to be selected as a second target parking lot.
Step S780: when the priority mode is stable and priority, the server marks a parking lot which is closest to the second target vehicle and has a number of idle parking spaces larger than a second preset number (for example, 5) as a second target parking lot based on the parking lot information, wherein the second preset number is larger than the first preset number so as to ensure that the vehicles stably have parking spaces to be parked after entering the second target parking lot.
Specifically, if the priority mode is stable priority, which indicates that the second target vehicle does not intend to stop for a time and a distance, only the stable parking space is required to be ensured, and then the parking lot closest to the second target vehicle and having the number of idle parking spaces larger than the second preset number is directly marked as the second target parking lot.
Step S790: and the server sends the yard information corresponding to the second target parking place to the intelligent terminal corresponding to the second target vehicle.
In an eighth embodiment of the smart city internet management method based on big data according to the present invention, based on the first embodiment, step S120 further includes the following steps:
step S810: the server marks the vehicle corresponding to the parking requirement information as a third target vehicle based on the yard information.
Step S820: when the priority mode is distance priority, the server judges whether a waiting instruction sent by the intelligent terminal is acquired, wherein the waiting instruction is generated by a user through the intelligent terminal.
Specifically, if the user inputs a waiting instruction, it is indicated that the user can accept waiting for the nearest parking lot to get out of the other vehicles and then get in again.
Step S830: if a waiting instruction sent by the intelligent terminal is obtained, the server marks the parking lot closest to the third target vehicle and with the number of the idle parking spaces of 0 as a first comparison parking lot.
Step S840: the server marks the parking lot closest to the third target vehicle and having the number of free parking spaces greater than 0 as a second comparative parking lot.
Step S850: the server determines whether a distance between the first comparative parking lot and the third target vehicle is smaller than a distance between the second comparative parking lot and the third target vehicle.
If yes, go to step S860: the server acquires the departure interval duration of the current time period of the first comparison parking lot and the interval duration between the latest departure time and the current time so as to calculate and obtain the estimated waiting duration.
Specifically, if the vehicle is smaller than the first comparison parking lot, the first comparison parking lot is closer to the third target vehicle, and compared with the vehicle which directly goes to the second comparison parking lot, the vehicle in the first comparison parking lot can wait for exiting, and then enter the first comparison parking lot. It is still necessary to estimate the waiting time.
Step S870: the server calculates the required time length from the third target vehicle to the second comparison parking lot, and marks the time length as estimated driving time length.
Step S880: and when the estimated waiting time is smaller than the estimated driving time, the server marks the first comparison parking lot as a third-order parking lot.
Specifically, if the estimated waiting time is smaller than the estimated driving time, the first comparison parking lot is marked as a third-order parking lot, and if the estimated waiting time is not longer than the estimated driving time, the first comparison parking lot is marked as a third-order parking lot.
Step S890: and the server sends the yard information corresponding to the third target parking place to the intelligent terminal corresponding to the third target vehicle.
In a ninth embodiment of the smart city internet management method based on big data provided by the invention, based on the eighth embodiment, the parking lot acquisition terminal comprises a camera arranged at an outlet of a parking lot; step S860 includes the steps of:
step S910: the server obtains the average value of the number of the vehicles in each second preset time period (namely the number of the vehicles driven from the first comparison parking lot and obtained by the server based on license plate information shot by the camera) of the first comparison parking lot in each second preset time period (1 hour) in the past, so as to calculate and obtain the duration of the vehicle-out interval corresponding to each second preset time period:
wherein I represents an I-th second preset time period per day, I is a positive integer less than or equal to I, I is the total number of second preset time periods per day (e.g., 24); c (C) pi The departure interval duration corresponding to the ith second preset time period is set; s is S i The average value of the number of outgoing vehicles corresponding to the ith second preset time period is obtained; t is t 2 And the unit is s for the duration of the second preset time period.
Step S920: the server obtains the departure interval duration of the current time period of the first comparison parking lot based on the current time and the departure interval duration corresponding to each second preset time period.
Specifically, for example, the duration of the departure interval corresponding to the time period from 8 pm to 9 pm is 30s, and if the current time is 30 min from 8 pm, the duration of the departure interval in the current time period is 60s.
Step S930: the server calculates estimated waiting time based on the departure interval time of the first comparison parking lot in the current time period and the interval time between the latest departure time and the current time:
wherein t is y Is a pre-preparationEstimating the waiting time length, wherein the unit is s; t is t d The unit is s for the departure interval duration of the current time period of the first comparison parking lot; t is t c And the unit is s for the interval duration between the latest departure time and the current time of the first comparison parking lot.
Specifically, for example, when the latest departure time of the first comparison parking lot is 8 points and 29 minutes is 30s, the interval duration between the latest departure time and the current time is 30s, and the estimated waiting duration is 30s. The specific calculation mode of the estimated waiting time is provided through the embodiment.
In a tenth embodiment of the smart city internet management method based on big data according to the present invention, based on the first embodiment, step S140 further includes the following steps:
step S1010: the server acquires the parking space number of the idle parking space of the first target parking lot and sends the parking space number of the idle parking space to the intelligent terminal corresponding to the first target vehicle.
Specifically, can directly send the parking stall number of idle parking stall to first target vehicle like this to the driver in time finds corresponding idle parking stall promptly, practices thrift the time of looking for the parking stall.
The invention also provides a smart city internet management system based on big data, which is applied to the smart city internet management method based on the big data; the system comprises a server, an intelligent terminal and a parking lot acquisition terminal; the parking lot acquisition terminals are arranged in the corresponding parking lots; the intelligent terminal and the parking lot acquisition terminal are both in communication connection with the server; the intelligent terminal is arranged on a corresponding vehicle.
The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and including several instructions for causing a terminal (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the method according to the embodiments of the present invention.
The embodiments of the present invention have been described above with reference to the accompanying drawings, but the present invention is not limited to the above-described embodiments, which are merely illustrative and not restrictive, and many forms may be made by those having ordinary skill in the art without departing from the spirit of the present invention and the scope of the claims, which are to be protected by the present invention.
Claims (7)
1. The intelligent city internet management method based on the big data is characterized by being applied to an intelligent city internet management system based on the big data; the system comprises a server, an intelligent terminal and a parking lot acquisition terminal; the parking lot acquisition terminals are arranged in the corresponding parking lots; the intelligent terminal and the parking lot acquisition terminal are both in communication connection with the server; the intelligent terminals are arranged on corresponding vehicles; the method comprises the following steps:
the parking lot acquisition terminal acquires parking lot information of a corresponding parking lot in real time and sends the parking lot information to the server, wherein the parking lot information comprises the number of idle parking spaces and the parking lot position;
the intelligent terminal generates parking demand information and sends the parking demand information to the server, wherein the parking demand information comprises the real-time position of the vehicle;
the server marks a vehicle corresponding to parking demand information as a first target vehicle based on the parking lot information, marks a parking lot which is closest to the first target vehicle and has the number of idle parking spaces larger than a first preset number as a first target parking lot, and sends the parking lot information corresponding to the first target parking place to an intelligent terminal corresponding to the first target vehicle;
the intelligent terminal generates and displays navigation information based on the received yard information, wherein the navigation information is used for indicating the vehicle to move from the current position to the first target parking lot;
the server marks a vehicle corresponding to parking demand information as a first target vehicle based on the parking lot information, marks a parking lot which is closest to the first target vehicle and has a number of idle parking spaces larger than a first preset number as a first target parking lot, and sends the parking lot information corresponding to the first target parking place to an intelligent terminal corresponding to the first target vehicle, and the server further comprises:
the method comprises the steps that a server obtains a traffic flow density proportion value of a current city in a current time period;
the server generates a first preset quantity based on the traffic flow density proportion value of the current city in the current time period;
the server obtains the traffic flow density proportion value of the current city in the current time period, and the method comprises the following steps:
the server obtains the average value of the number of the generated parking demand information of the current city in each second preset time period every day in the past first preset time period, and marks the average value as the active number;
the server generates traffic flow density proportion values corresponding to the second preset time periods based on the active quantity of the second preset time periods:
wherein I represents an ith second preset time period of each day, I is a positive integer less than or equal to I, and I is the total number of second preset time periods in each day; c (C) bi The traffic flow density proportion value corresponding to the ith second preset time period; h is a i The method comprises the steps of setting the number of active cities in the current city in the ith second preset time period in the past first preset time period; h is a max The maximum value of the active number of each second preset time period of the current city in the past first preset time period is set;
the server generates a first preset quantity based on the traffic flow density proportion value of the current city in the current time period, and the method comprises the following steps:
the server marks a traffic flow density proportion value corresponding to the current time period as a target proportion value based on the traffic flow density proportion value corresponding to the current time period and each second preset time period;
the server generates a first preset number based on the target proportion value:
S 1 ＝[S b ×C bm ]+1；
wherein S is 1 Is a first preset number; s is S b Is a standard number, is a positive integer greater than 1; c (C) bm Is the target ratio value.
2. The smart city internet management method based on big data of claim 1, wherein the yard information further comprises a number of pending spaces; the system also comprises a display module which is in communication connection with the server; the server marks a vehicle corresponding to parking demand information as a first target vehicle based on the parking lot information, marks a parking lot which is closest to the first target vehicle and has a number of idle parking spaces larger than a first preset number as a first target parking lot, and sends the parking lot information corresponding to the first target parking place to an intelligent terminal corresponding to the first target vehicle, and then the server further comprises:
the server reduces the number of idle parking spaces of the first target parking lot corresponding to the first target vehicle by 1;
the server adds 1 to the number of the undetermined parking spaces of the first target parking lot corresponding to the first target vehicle;
and the server displays the parking lot information corresponding to each parking place in the current city through the display module.
3. The smart city internet management method based on big data of claim 2, wherein the yard information further comprises the number of parking spaces; the parking lot acquisition terminal comprises a camera arranged at the entrance of the parking lot; the method further comprises the steps of:
the server judges whether the first target vehicle enters a first target parking lot or not within a third preset time period after receiving the parking lot information based on license plate information shot by the camera;
if yes, the server reduces the number of the undetermined parking spaces of the first target parking lot corresponding to the first target vehicle by 1, and adds 1 to the number of the already-parked parking spaces;
if not, the server adds 1 to the number of the idle parking spaces of the first target parking lot corresponding to the first target vehicle, and subtracts 1 to the number of the pending parking spaces.
4. A smart city internet management method based on big data as claimed in claim 3, wherein said yard information further comprises the number of total parking spaces; the parking demand information further includes a priority mode, wherein the priority mode is any one of a stability priority or a distance priority; the intelligent terminal generates parking demand information and sends the parking demand information to the server, and then the intelligent terminal further comprises:
the server marks the vehicle corresponding to the parking requirement information as a second target vehicle based on the parking lot information;
when the priority mode is distance priority, the server marks the parking lot which is closest to the second target vehicle and has the number of parking spaces which is not equal to the number of the total parking spaces as a parking lot to be selected based on the parking lot information;
the server judges whether the number of the idle parking spaces of the parking lot to be selected is 0;
if the distance between the vehicle corresponding to the to-be-determined parking space of the to-be-selected parking space and the to-be-selected parking space is 0, the server acquires the real-time position of the vehicle corresponding to the to-be-determined parking space of the to-be-selected parking space to judge whether the distance between the vehicle corresponding to the to-be-determined parking space of the to-be-selected parking space and the to-be-selected parking space is larger than the distance between the second target vehicle and the to-be-selected parking space;
if yes, the server marks the parking lot to be selected as a second target parking lot;
if not, the server marks the parking lot to be selected as a drop-selected parking lot, marks the parking lot which is closest to the second target vehicle and has the number of parking spaces not equal to the number of the total parking spaces and is not the drop-selected parking lot as the parking lot based on the parking lot information, then executes the steps of judging whether the number of the idle parking spaces of the parking lot to be selected is 0 or not by the server again, and then;
if the parking lot is not 0, the server marks the parking lot to be selected as a second target parking lot;
when the priority mode is stable priority, the server marks a parking lot which is closest to a second target vehicle and has a number of idle parking spaces larger than a second preset number as a second target parking lot based on the parking lot information, wherein the second preset number is larger than the first preset number;
and the server sends the yard information corresponding to the second target parking place to the intelligent terminal corresponding to the second target vehicle.
5. The smart city internet management method based on big data of claim 1, wherein the intelligent terminal generates parking demand information and transmits the parking demand information to the server, and further comprising:
the server marks the vehicle corresponding to the parking requirement information as a third target vehicle based on the parking lot information;
when the priority mode is distance priority, the server judges whether a waiting instruction sent by the intelligent terminal is acquired, wherein the waiting instruction is generated by a user through the intelligent terminal;
if a waiting instruction sent by the intelligent terminal is obtained, the server marks a parking lot which is nearest to the third target vehicle and has 0 idle parking spaces as a first comparison parking lot;
the server marks the parking lot closest to the third target vehicle and with the number of the idle parking spaces larger than 0 as a second comparison parking lot;
the server judges whether the distance between the first comparison parking lot and the third target vehicle is smaller than the distance between the second comparison parking lot and the third target vehicle;
if yes, the server acquires the departure interval duration of the current time period of the first comparison parking lot and the interval duration between the latest departure time and the current time so as to calculate and obtain the estimated waiting duration;
the server calculates the required time length from the third target vehicle to the second comparison parking lot, and marks the time length as estimated driving time length;
when the estimated waiting time is smaller than the estimated driving time, the server marks the first comparison parking lot as a third-order parking lot;
and the server sends the yard information corresponding to the third target parking place to the intelligent terminal corresponding to the third target vehicle.
6. The smart city internet management method based on big data of claim 5, wherein the server obtains a departure interval duration of a current time period of the first comparative parking lot and an interval duration between a latest departure time and the current time to calculate an estimated waiting duration, and the method comprises:
the server obtains the average value of the number of the vehicles in each second preset time period of each day in the past first preset time period of the first comparison parking lot, so as to calculate and obtain the duration of the vehicle outlet interval corresponding to each second preset time period:
wherein I represents an ith second preset time period of each day, I is a positive integer less than or equal to I, and I is the total number of second preset time periods in each day; c (C) pi The departure interval duration corresponding to the ith second preset time period is set; s is S i The average value of the number of outgoing vehicles corresponding to the ith second preset time period is obtained; t is t 2 The unit is s for the duration of the second preset time period;
the server obtains the departure interval duration of the current time period of the first comparison parking lot based on the current time and the departure interval duration corresponding to each second preset time period;
the server calculates estimated waiting time based on the departure interval time of the first comparison parking lot in the current time period and the interval time between the latest departure time and the current time:
wherein t is y For estimating the waiting time length, the unit is s; t is t d The unit is s for the departure interval duration of the current time period of the first comparison parking lot; t is t c And the unit is s for the interval duration between the latest departure time and the current time of the first comparison parking lot.
7. A big data based smart city internet management system, characterized in that the system is applied to the big data based smart city internet management method of any one of claims 1 to 6; the system comprises a server, an intelligent terminal and a parking lot acquisition terminal; the parking lot acquisition terminals are arranged in the corresponding parking lots; the intelligent terminal and the parking lot acquisition terminal are both in communication connection with the server; the intelligent terminal is arranged on a corresponding vehicle.
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