CN116432985A - Intelligent community information processing method and system based on Internet of things - Google Patents
Intelligent community information processing method and system based on Internet of things Download PDFInfo
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Abstract
The invention discloses an intelligent community information processing method and system based on the Internet of things, which relate to the technical field of community charging pile selection suggestion, and are characterized in that charging pile layout information in a community is obtained in advance, vehicle real-time information of each electric vehicle and charging pile queue information of each charging pile in the community are collected in real time, historical charging information and historical selection information corresponding to the electric vehicle are called up, all vehicles to be charged are searched based on the vehicle real-time information, for each vehicle to be charged, a suggested charging pile sequence is generated for each vehicle to be charged based on the charging pile queue information, the vehicle real-time information, the historical charging information and the historical selection information, charging pile serial numbers selected by a driver are updated, and the historical charging information of the electric vehicle is updated after the electric vehicle is charged; the problem that a driver blindly searches the charging pile is avoided, so that the charging experience of the driver of the electric vehicle is improved.
Description
Technical Field
The invention relates to the technical field of community charging pile selection suggestions, in particular to an intelligent community information processing method and system based on the Internet of things.
Background
With the rapid development and wide application of electric vehicles, the construction of charging infrastructure becomes a key problem for popularization and promotion of electric vehicles. In the conventional charging mode, a driver needs to select according to own requirements and the available conditions of the charging pile; and the charging demand of the driver is affected by various factors such as the distance travelled, the time of use, and the charging time window. In communities, the number and distribution of the charging piles may be unbalanced, some charging piles may be frequently used, and other charging piles are idle more. The utilization rate of the charging pile is not high, and the charging experience of a driver is also influenced;
the current charging pile management system has the following defects:
lack of driver personalized demand considerations: existing systems often lack analysis and consideration of the individual needs of the driver; the charging preference and behavior habit of the driver have important influence on the selection and use of the charging stake, but the existing system cannot provide a personalized charging scheme;
insufficient information sharing and real-time updating: the charging pile information in the existing system is usually static and cannot be updated in real time. This results in the driver not being able to obtain accurate charging stake availability and queuing situation information, thereby increasing the difficulty of finding a suitable charging stake;
therefore, the invention provides an intelligent community information processing method and system based on the Internet of things.
Disclosure of Invention
The present invention aims to solve at least one of the technical problems existing in the prior art. Therefore, the intelligent community information processing method and system based on the Internet of things provided by the invention avoid the problem that a driver blindly searches a charging pile, so that the charging experience of the driver of the electric vehicle is improved.
To achieve the above object, embodiment 1 of the present invention provides an intelligent community information processing method based on the internet of things, including the following steps:
step one: the community information processing background acquires layout information of charging piles in the community in advance, collects real-time vehicle information of each electric vehicle in the community in real time, and invokes historical charging information and historical selection information corresponding to the electric vehicle based on the real-time vehicle information;
step two: collecting charging pile queue information of each charging pile in real time by a community information processing background;
step three: the community information processing background searches all vehicles to be charged based on the vehicle real-time information, and for each vehicle to be charged, for each vehicle to be charged:
based on the real-time information of the vehicle, the distance between the vehicle to be charged and each charging pile is obtained;
for each charging pile, calculating the residual charging duration of the charging pile based on the corresponding charging pile queue information;
based on the history selection information, calculating the history selection weight of each vehicle to be charged; the history selection weight is the average waiting time length divided by the average charging driving distance in the history selection information of each electric vehicle;
generating a suggested charging pile sequence for each vehicle to be charged based on the distance between the vehicle to be charged and each charging pile, the residual charging time length of the charging pile and the historical selection weight of the vehicle to be charged, and sending the suggested charging pile sequence to a vehicle-mounted screen of the charging vehicle for visual display;
step four: the community information processing background receives the number of the charging pile selected by the driver of each vehicle to be charged, and updates the charging pile queue information of the charging pile number;
step five: after the electric vehicle is charged, updating the historical charging information of the electric vehicle;
the charging pile layout information comprises a regional range of a community, positions of all charging piles in the community and numbers of each charging pile; the number of the charging stake is marked as N, where n=1, 2,3 … N; wherein N is the total number of charging piles in the community; marking the position of the nth charging pile as Pn;
the method for collecting the real-time information of the vehicles of each electric vehicle in the community comprises the following steps:
the method comprises the steps that the position of each electric vehicle is obtained in real time through a self-contained positioning system, a vehicle control background judges whether the position of the electric vehicle is in the regional range of a community in real time, and if the position of the electric vehicle is in the regional range of the community, vehicle real-time information is sent to a community information processing background; the real-time information of the vehicle comprises the real-time position of the electric vehicle, the license plate number of the electric vehicle and the residual electric quantity of the electric vehicle;
the mode of calling the historical charging information corresponding to the electric vehicle is as follows:
according to the license plate number of the electric vehicle of the real-time information of the vehicle, retrieving the historical charging information of the license plate number of the electric vehicle from the historical charging meter in the data storage equipment of the community information processing background;
the historical charging table is a database table in the data storage device, the database table takes the license plate number of the electric vehicle as a main key and takes average charging time length and average minimum charging electric quantity as attributes; the average charging duration is the total duration of historical charging of the electric vehicle corresponding to each license plate of the electric vehicle divided by the total number of times of charging; the average minimum charge electric quantity is the sum of electric quantity of historical charge starting moments of the electric vehicles corresponding to each electric vehicle license plate divided by the total number of times of charging;
if the electric vehicle license plate number is retrieved from the historical charging meter, the historical charging information of the electric vehicle license plate number comprises average charging duration and average minimum charging electric quantity of the electric vehicle license plate number;
if the license plate number of the electric vehicle is not retrieved from the historical charging meter, indicating that the electric vehicle appears in the community for the first time, and taking the average value of the average charging time lengths of all the electric vehicles and the average value of the average minimum charging electric quantity of all the electric vehicles as historical charging information of the license plate number of the electric vehicle;
the mode of calling the history selection information corresponding to the electric vehicle is as follows:
according to the license plate number of the electric vehicle of the real-time information of the vehicle, retrieving the history selection information of the license plate number of the electric vehicle from a charging selection table in a history selection table in data storage equipment of a community information processing background;
the history selection table is a database table in the data storage equipment, wherein the database table takes the license plate number of the electric vehicle as a main key and takes the average charging driving distance and the average waiting time length as attributes; the average charging driving distance is an average value of distances from a current position to charging piles selected by a driver when the electric vehicle historically receives a suggested charging pile sequence each time; the average waiting time length is an average value of waiting time lengths of the electric vehicle at the charging piles selected by the driver historically;
if the electric vehicle license plate number is retrieved from the historical charging meter, the historical selection information of the electric vehicle license plate number comprises the average charging driving distance and the average waiting time of the electric vehicle license plate number;
if the license plate number of the electric vehicle is not retrieved from the historical charging meter, taking the average value of the average charging running distances of all electric vehicles and the average value of the average waiting time of all electric vehicles as historical selection information of the license plate number of the electric vehicle;
the charging pile queue information comprises charging vehicle information of each charging pile and queuing vehicle queues; the charging vehicle information refers to a license plate number and a charged duration of an electric vehicle using the charging pile; the vehicle queue in the queue refers to a sequence of electric vehicle license plate numbers which are ordered from first to second according to the time of selecting the charging pile by an electric vehicle driver;
the method for searching all vehicles to be charged based on the real-time information of the vehicles is as follows:
marking the number of each electric vehicle as i, and marking the residual electric quantity of the electric vehicle in the real-time information of the ith electric vehicle as Ri; marking the average charging time length of the ith electric vehicle as Ki; marking the average lowest charge quantity in the historical charge information of the ith electric vehicle as Di, and marking the real-time position of the electric vehicle in the real-time information of the ith electric vehicle as Pi; marking the power consumption of the ith electric vehicle per kilometer as Hi, obtaining the distance Jin between the ith electric vehicle and the nth charging pile according to the real-time position Pi of the electric vehicle of the ith electric vehicle and the position of the nth charging pile, and marking the maximum value of the distances between the ith electric vehicle and all the charging piles as Jimax;
the community information processing background judges whether the residual electric quantity Ri of the electric vehicle is smaller than the maximum sufficient electric quantity Ci in real time, and if the residual electric quantity Ri of the electric vehicle is smaller than the maximum sufficient electric quantity Ci, the electric vehicle is marked as a vehicle to be charged; the calculation formula of the maximum sufficient electric quantity Ci is as follows: ci=Di+Jimax Hi;
the method for generating the suggested charging pile sequence for each vehicle to be charged is as follows:
the number of the vehicle to be charged is marked as i1, the number of the electric vehicle using the nth charging pile is marked as ni2, and the time length of the electric vehicle which is charged is marked as Tni2; marking a queuing vehicle queue of the nth charging pile as Sn, and marking a license plate number of an electric vehicle in the queuing vehicle queue Sn as Sn;
for the i1 st vehicle to be charged, acquiring the distance J (i 1) n between the i1 st vehicle to be charged and the n th charging pile;
for the nth charging pile, calculating the residual charging duration Tn, wherein the calculation formula of the residual charging duration Tn is as follows
；
Calculating the charging weight Qni1 of the nth charging pile for the i1 st vehicle to be charged; marking the history selection weight of the i1 st vehicle to be charged as ai1; the calculation formula of the charging weight Qni1 is as follows: q (ni 1) =ai1×j (i 1) n+tn; wherein ai1 is the average waiting time length divided by the average charging travel distance in the history selection information of the i1 st electric vehicle;
for the i1 st vehicle to be charged, sequencing all charging piles according to the charging weight from large to small, wherein the sequence of the sequenced charging piles is a suggested charging pile sequence;
the method for updating the charging pile queue information of the charging pile number is as follows:
adding the serial number of the vehicle to be charged to the tail of the queuing vehicle queue corresponding to the serial number of the charging pile selected by the driver of the vehicle to be charged;
the mode of updating the historical charging information of the electric vehicle is as follows:
and re-calculating the average charging time length and the average minimum charging electric quantity of the electric vehicle in the historical charging meter, the average charging running distance and the average waiting time length in the historical selection meter, and updating the historical charging meter and the historical selection meter.
According to embodiment 2 of the invention, an intelligent community information processing system based on the Internet of things is provided, which comprises an information collecting module, a data retrieving module, a suggested charging pile generating module and an information updating module; wherein, each module is connected by a wired and/or wireless network mode;
the information collection module is used for acquiring layout information of the charging piles in the community in advance, collecting real-time information of vehicles of each electric vehicle in the community and charging pile queue information of each charging pile in real time, sending the real-time information of the vehicles to the data retrieval module, and sending the layout information of the charging piles, the real-time information of the vehicles and the charging pile queue information to the suggested charging pile generation module;
the data calling module is used for calling historical charging information and historical selection information corresponding to the electric vehicle based on the real-time information of the vehicle and sending the historical charging information and the historical selection information to the suggested charging pile generation module;
the suggested charging pile generation module searches all vehicles to be charged based on the real-time information of the vehicles, generates suggested charging pile sequences for each vehicle to be charged based on the charging pile queue information, the real-time information of the vehicles of each vehicle to be charged, the historical charging information and the historical selection information, and sends the suggested charging pile sequences to the information updating module;
and the information updating module is used for sending the suggested charging pile sequence to a vehicle-mounted screen of the charging vehicle for visual display, receiving the charging pile number selected by a driver of each vehicle to be charged, updating the charging pile queue information of the charging pile number, and updating the historical charging information of the electric vehicle after the electric vehicle is charged.
Compared with the prior art, the invention has the beneficial effects that:
according to the method, vehicle real-time information of each electric vehicle and charging pile queue information of each charging pile in a community are obtained in advance, then, based on the vehicle real-time information, historical charging information and historical selection information corresponding to the electric vehicle are obtained, all vehicles to be charged are searched out based on the vehicle real-time information, a suggested charging pile sequence is generated for each vehicle to be charged based on the charging pile queue information, the vehicle real-time information, the historical charging information and the historical selection information, the suggested charging pile sequence is sent to a vehicle-mounted screen of the charging vehicle for visual display, and then, the charging pile queue information of the charging pile number is updated according to the charging pile number selected by a driver of each vehicle to be charged, and after the electric vehicle is charged, the historical charging information of the electric vehicle is updated; the charging habit of each electric vehicle driver and the charging and queuing conditions of the charging piles are announced in communities are comprehensively considered, when the electric vehicle needs to be charged, a personalized charging pile recommendation scheme is provided for the driver, the problem that the driver blindly searches for the charging piles is avoided, and therefore charging experience of the electric vehicle driver is improved.
Drawings
FIG. 1 is a flowchart of a method for processing information of an intelligent community based on the Internet of things in embodiment 1 of the present invention;
fig. 2 is a block diagram of an intelligent community information processing system based on the internet of things in embodiment 2 of the present invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
As shown in fig. 1, the intelligent community information processing method based on the internet of things comprises the following steps:
step one: the community information processing background acquires layout information of charging piles in the community in advance, collects real-time vehicle information of each electric vehicle in the community in real time, and invokes historical charging information and historical selection information corresponding to the electric vehicle based on the real-time vehicle information;
step two: collecting charging pile queue information of each charging pile in real time by a community information processing background;
step three: the community information processing background searches all vehicles to be charged based on the vehicle real-time information, generates a suggested charging pile sequence for each vehicle to be charged based on the charging pile queue information, the vehicle real-time information, the historical charging information and the historical selection information, and sends the suggested charging pile sequence to a vehicle-mounted screen of the charging vehicle for visual display;
step four: the community information processing background receives the number of the charging pile selected by the driver of each vehicle to be charged, and updates the charging pile queue information of the charging pile number;
step five: after the electric vehicle is charged, updating the historical charging information of the electric vehicle;
the charging pile layout information comprises a regional range of a community, positions of all charging piles in the community and numbers of each charging pile; the number of the charging stake is marked as N, where n=1, 2,3 … N; wherein N is the total number of charging piles in the community; marking the position of the nth charging pile as Pn;
the method for collecting the real-time information of the vehicles of each electric vehicle in the community comprises the following steps:
the method comprises the steps that the position of each electric vehicle is obtained in real time through a self-contained positioning system, a vehicle control background judges whether the position of the electric vehicle is in the regional range of a community in real time, and if the position of the electric vehicle is in the regional range of the community, vehicle real-time information is sent to a community information processing background; if the processing is not in the area range of the community, processing is not performed; the real-time information of the vehicle comprises the real-time position of the electric vehicle, the license plate number of the electric vehicle and the residual electric quantity of the electric vehicle; it can be understood that the real-time position of the electric vehicle is obtained in real time from the positioning system, the license plate number of the electric vehicle is pre-stored by the vehicle control background, and the residual electric quantity of the electric vehicle is obtained in real time by the Battery Management System (BMS) of the vehicle;
the mode of calling the historical charging information corresponding to the electric vehicle is as follows:
according to the license plate number of the electric vehicle of the real-time information of the vehicle, retrieving the historical charging information of the license plate number of the electric vehicle from the historical charging meter in the data storage equipment of the community information processing background;
the historical charging table is a database table in the data storage device, the database table takes the license plate number of the electric vehicle as a main key and takes average charging time length and average minimum charging electric quantity as attributes; the average charging duration is the total duration of historical charging of the electric vehicle corresponding to each license plate of the electric vehicle divided by the total number of times of charging; the average minimum charge electric quantity is the sum of electric quantity of historical charge starting moments of the electric vehicles corresponding to each electric vehicle license plate divided by the total number of times of charging; it can be understood that the average charging duration represents the habit of the charging duration of the electric vehicle driver, the average minimum charging electric quantity represents the habit charging electric quantity of the electric vehicle driver, and the personalized charging habits of different drivers can be met by setting the average charging duration and the average minimum charging electric quantity;
if the electric vehicle license plate number is retrieved from the historical charging meter, the historical charging information of the electric vehicle license plate number comprises average charging duration and average minimum charging electric quantity of the electric vehicle license plate number;
if the license plate number of the electric vehicle is not retrieved from the historical charging meter, indicating that the electric vehicle appears in the community for the first time, and taking the average value of the average charging time lengths of all the electric vehicles and the average value of the average minimum charging electric quantity of all the electric vehicles as historical charging information of the license plate number of the electric vehicle;
the mode of calling the history selection information corresponding to the electric vehicle is as follows:
according to the license plate number of the electric vehicle of the real-time information of the vehicle, retrieving the history selection information of the license plate number of the electric vehicle from a charging selection table in a history selection table in data storage equipment of a community information processing background;
the history selection table is a database table in the data storage equipment, wherein the database table takes the license plate number of the electric vehicle as a main key and takes the average charging driving distance and the average waiting time length as attributes; the average charging driving distance is an average value of distances from a current position to charging piles selected by a driver when the electric vehicle historically receives a suggested charging pile sequence each time; the average waiting time length is an average value of waiting time lengths of the electric vehicle at the charging piles selected by the driver historically; it will be appreciated that the average charge travel distance and average waiting time reflects the habit of different drivers for the selection of a charge stake, e.g., some drivers are willing to wait longer while selecting a charge stake that is closer in distance;
if the electric vehicle license plate number is retrieved from the historical charging meter, the historical selection information of the electric vehicle license plate number comprises the average charging driving distance and the average waiting time of the electric vehicle license plate number;
if the license plate number of the electric vehicle is not retrieved from the historical charging meter, taking the average value of the average charging running distances of all electric vehicles and the average value of the average waiting time of all electric vehicles as historical selection information of the license plate number of the electric vehicle;
further, the charging pile queue information comprises charging vehicle information of each charging pile and queuing vehicle queues; the charging vehicle information refers to a license plate number and a charged duration of an electric vehicle using the charging pile; the vehicle queue in the queue refers to a sequence of electric vehicle license plate numbers which are ordered from first to second according to the time of selecting the charging pile by an electric vehicle driver;
the method for searching all vehicles to be charged based on the real-time information of the vehicles is as follows:
marking the number of each electric vehicle as i, and marking the residual electric quantity of the electric vehicle in the real-time information of the ith electric vehicle as Ri; marking the average charging time length of the ith electric vehicle as Ki; marking the average lowest charge quantity in the historical charge information of the ith electric vehicle as Di, and marking the real-time position of the electric vehicle in the real-time information of the ith electric vehicle as Pi; marking the power consumption of the ith electric vehicle per kilometer as Hi, obtaining the distance Jin between the ith electric vehicle and the nth charging pile according to the real-time position Pi of the electric vehicle of the ith electric vehicle and the position of the nth charging pile, and marking the maximum value of the distances between the ith electric vehicle and all the charging piles as Jimax; it can be understood that the power consumption per kilometer can be calculated based on the real-time position change and the real-time power consumption of the electric vehicle, and the distance between the electric vehicle and each charging pile can be obtained by calculating the route length based on the positioning and navigation system;
the community information processing background judges whether the residual electric quantity Ri of the electric vehicle is smaller than the maximum sufficient electric quantity Ci in real time, and if the residual electric quantity Ri of the electric vehicle is smaller than the maximum sufficient electric quantity Ci, the electric vehicle is marked as a vehicle to be charged; if the power is larger than the maximum sufficient power Ci, the processing is not performed; the calculation formula of the maximum sufficient electric quantity Ci is as follows: ci=Di+Jimax Hi; it can be understood that Jimax Hi is the amount of electricity consumed by the i-th electric vehicle from the current position to the furthest charging pile;
the method for generating the suggested charging pile sequence for each vehicle to be charged is as follows:
the number of the vehicle to be charged is marked as i1, the number of the electric vehicle using the nth charging pile is marked as ni2, and the time length of the electric vehicle which is charged is marked as Tni2; marking a queuing vehicle queue of the nth charging pile as Sn, and marking a license plate number of an electric vehicle in the queuing vehicle queue Sn as Sn; it can be understood that the number sn of the license plate number of the electric vehicle and the number i of the electric vehicle are in one-to-one correspondence;
for the i1 st vehicle to be charged, acquiring the distance J (i 1) n between the i1 st vehicle to be charged and the n th charging pile;
for the nth charging pile, calculating the residual charging duration Tn, wherein the calculation formula of the residual charging duration Tn is as follows
；
Calculating the charging weight Qni1 of the nth charging pile for the i1 st vehicle to be charged; marking the history selection weight of the i1 st vehicle to be charged as ai1; the calculation formula of the charging weight Qni1 is as follows: q (ni 1) =ai1×j (i 1) n+tn; wherein ai1 is the average waiting time length divided by the average charging travel distance in the history selection information of the i1 st electric vehicle;
for the i1 st vehicle to be charged, sequencing all charging piles according to the charging weight from large to small, wherein the sequenced charging pile number sequence is a suggested charging pile sequence;
the visual display mode is as follows:
displaying the position of the charging pile, the distance between the vehicle to be charged and the charging pile, the length of the vehicle queue in the queuing of the charging pile and the residual charging time length in the vehicle-mounted screen according to the sequence of the charging piles in the suggested charging pile sequence;
the method for updating the charging pile queue information of the charging pile number is as follows:
adding the serial number of the vehicle to be charged to the tail of the queuing vehicle queue corresponding to the serial number of the charging pile selected by the driver of the vehicle to be charged;
the mode of updating the historical charging information of the electric vehicle is as follows:
and re-calculating the average charging time length and the average minimum charging electric quantity of the electric vehicle in the historical charging meter, the average charging running distance and the average waiting time length in the historical selection meter, and updating the historical charging meter and the historical selection meter.
Example 2
As shown in fig. 2, the intelligent community information processing system based on the internet of things comprises an information collecting module, a data retrieving module, a suggested charging pile generating module and an information updating module; wherein, each module is connected by a wired and/or wireless network mode;
the information collection module is used for acquiring layout information of the charging piles in the community in advance, collecting real-time information of vehicles of each electric vehicle in the community and charging pile queue information of each charging pile in real time, sending the real-time information of the vehicles to the data retrieval module, and sending the layout information of the charging piles, the real-time information of the vehicles and the charging pile queue information to the suggested charging pile generation module;
the data calling module is used for calling historical charging information and historical selection information corresponding to the electric vehicle based on the real-time information of the vehicle and sending the historical charging information and the historical selection information to the suggested charging pile generation module;
the suggested charging pile generation module searches all vehicles to be charged based on the real-time information of the vehicles, generates suggested charging pile sequences for each vehicle to be charged based on the charging pile queue information, the real-time information of the vehicles of each vehicle to be charged, the historical charging information and the historical selection information, and sends the suggested charging pile sequences to the information updating module;
and the information updating module is used for sending the suggested charging pile sequence to a vehicle-mounted screen of the charging vehicle for visual display, receiving the charging pile number selected by a driver of each vehicle to be charged, updating the charging pile queue information of the charging pile number, and updating the historical charging information of the electric vehicle after the electric vehicle is charged.
The above formulas are all formulas with dimensions removed and numerical values calculated, the formulas are formulas which are obtained by acquiring a large amount of data and performing software simulation to obtain the closest actual situation, and preset parameters and preset thresholds in the formulas are set by a person skilled in the art according to the actual situation or are obtained by simulating a large amount of data.
The above embodiments are only for illustrating the technical method of the present invention and not for limiting the same, and it should be understood by those skilled in the art that the technical method of the present invention may be modified or substituted without departing from the spirit and scope of the technical method of the present invention.
Claims (10)
1. The intelligent community information processing method based on the Internet of things is used in a community information processing background and is characterized by comprising the following steps of:
acquiring layout information of charging piles in a community in advance, collecting real-time information of vehicles of each electric vehicle in the community in real time, and calling historical charging information and historical selection information corresponding to the electric vehicles based on the real-time information of the vehicles;
collecting charging pile queue information of each charging pile in real time;
searching all vehicles to be charged based on the real-time information of the vehicles, and for each vehicle to be charged:
based on the real-time information of the vehicle, the distance between the vehicle to be charged and each charging pile is obtained;
for each charging pile, calculating the residual charging duration of the charging pile based on the corresponding charging pile queue information;
based on the history selection information, calculating the history selection weight of each vehicle to be charged; the history selection weight is the average waiting time length divided by the average charging driving distance in the history selection information of each electric vehicle;
generating a suggested charging pile sequence for each vehicle to be charged based on the distance between the vehicle to be charged and each charging pile, the residual charging time length of the charging pile and the historical selection weight of the vehicle to be charged, and sending the suggested charging pile sequence to a vehicle-mounted screen of the charging vehicle for visual display;
receiving a charging pile number selected by a driver of each vehicle to be charged, and updating charging pile queue information of the charging pile number;
and after the electric vehicle is charged, updating the historical charging information of the electric vehicle.
2. The intelligent community information processing method based on the Internet of things, which is used in a community information processing background, is characterized in that the charging pile layout information comprises the area range of a community, the positions of all charging piles in the community and the number of each charging pile; the number of the charging stake is marked as N, where n=1, 2,3 … N; wherein N is the total number of charging piles in the community; marking the position of the nth charging pile as Pn;
the method for collecting the real-time information of the vehicles of each electric vehicle in the community is as follows:
the method comprises the steps that the position of each electric vehicle is obtained in real time through a self-contained positioning system, a vehicle control background judges whether the position of the electric vehicle is in the area range of a community in real time, if so, vehicle real-time information is sent to a community information processing background, and the vehicle real-time information comprises the real-time position of the electric vehicle, the license plate number of the electric vehicle and the residual electric quantity of the electric vehicle.
3. The intelligent community information processing method based on the internet of things of claim 2, which is used in a community information processing background, and is characterized in that the mode of retrieving the historical charging information corresponding to the electric vehicle is as follows:
according to the license plate number of the electric vehicle of the real-time information of the vehicle, retrieving the historical charging information of the license plate number of the electric vehicle from the historical charging meter in the data storage equipment of the community information processing background;
the historical charging table is a database table in the data storage device, the database table takes the license plate number of the electric vehicle as a main key and takes average charging time length and average minimum charging electric quantity as attributes; the average charging duration is the total duration of historical charging of the electric vehicle corresponding to each license plate of the electric vehicle divided by the total number of times of charging; the average minimum charge electric quantity is the sum of electric quantity of historical charge starting moments of the electric vehicles corresponding to each electric vehicle license plate divided by the total number of times of charging;
if the electric vehicle license plate number is retrieved from the historical charging meter, the historical charging information of the electric vehicle license plate number comprises average charging duration and average minimum charging electric quantity of the electric vehicle license plate number;
if the license plate number of the electric vehicle is not retrieved from the historical charging meter, the electric vehicle is indicated to appear in the community for the first time, and the average value of the average charging duration of all the electric vehicles and the average value of the average minimum charging electric quantity of all the electric vehicles are used as historical charging information of the license plate number of the electric vehicle.
4. The intelligent community information processing method based on the internet of things, which is used in a community information processing background, is characterized in that the mode of retrieving history selection information corresponding to an electric vehicle is as follows:
according to the license plate number of the electric vehicle of the real-time information of the vehicle, retrieving the history selection information of the license plate number of the electric vehicle from a charging selection table in a history selection table in data storage equipment of a community information processing background;
the history selection table is a database table in the data storage equipment, wherein the database table takes the license plate number of the electric vehicle as a main key and takes the average charging driving distance and the average waiting time length as attributes; the average charging driving distance is an average value of distances from a current position to charging piles selected by a driver when the electric vehicle historically receives a suggested charging pile sequence each time; the average waiting time length is an average value of waiting time lengths of the electric vehicle at the charging piles selected by the driver historically;
if the electric vehicle license plate number is retrieved from the historical charging meter, the historical selection information of the electric vehicle license plate number comprises the average charging driving distance and the average waiting time of the electric vehicle license plate number;
and if the license plate number of the electric vehicle is not retrieved from the historical charging meter, taking the average value of the average charging running distances of all electric vehicles and the average value of the average waiting time of all electric vehicles as historical selection information of the license plate number of the electric vehicle.
5. The intelligent community information processing method based on the Internet of things, which is used in a community information processing background, is characterized in that the charging pile queue information comprises in-charging vehicle information and in-queuing vehicle queues of each charging pile; the charging vehicle information refers to a license plate number and a charged duration of an electric vehicle using the charging pile; the vehicle queue in the queue refers to a sequence of electric vehicle license plate numbers which are ordered from first to second according to the time of selecting the charging pile by an electric vehicle driver.
6. The intelligent community information processing method based on the internet of things, which is used in a community information processing background, is characterized in that the method for searching all vehicles to be charged based on the real-time information of the vehicles is as follows:
marking the number of each electric vehicle as i, and marking the residual electric quantity of the electric vehicle in the real-time information of the ith electric vehicle as Ri; marking the average charging time length of the ith electric vehicle as Ki; marking the average lowest charge quantity in the historical charge information of the ith electric vehicle as Di, and marking the real-time position of the electric vehicle in the real-time information of the ith electric vehicle as Pi; marking the power consumption of the ith electric vehicle per kilometer as Hi, obtaining the distance Jin between the ith electric vehicle and the nth charging pile according to the real-time position Pi of the electric vehicle of the ith electric vehicle and the position of the nth charging pile, and marking the maximum value of the distances between the ith electric vehicle and all the charging piles as Jimax;
the community information processing background judges whether the residual electric quantity Ri of the electric vehicle is smaller than the maximum sufficient electric quantity Ci in real time, and if the residual electric quantity Ri of the electric vehicle is smaller than the maximum sufficient electric quantity Ci, the electric vehicle is marked as a vehicle to be charged; the calculation formula of the maximum sufficient electric quantity Ci is as follows: ci=di+jimax Hi.
7. The intelligent community information processing method based on the internet of things, which is used in a community information processing background, is characterized in that the method for generating the suggested charging pile sequence for each vehicle to be charged is as follows:
the number of the vehicle to be charged is marked as i1, the number of the electric vehicle using the nth charging pile is marked as ni2, and the time length of the electric vehicle which is charged is marked as Tni2; marking a queuing vehicle queue of the nth charging pile as Sn, and marking a license plate number of an electric vehicle in the queuing vehicle queue Sn as Sn;
for the i1 st vehicle to be charged, acquiring the distance J (i 1) n between the i1 st vehicle to be charged and the n th charging pile;
for the nth charging pile, calculating the residual charging duration Tn, wherein the calculation formula of the residual charging duration Tn is as follows
；
Calculating the charging weight Qni1 of the nth charging pile for the i1 st vehicle to be charged; marking the history selection weight of the i1 st vehicle to be charged as ai1; the calculation formula of the charging weight Qni1 is as follows: q (ni 1) =ai1×j (i 1) n+tn;
and (3) sequencing all the charging piles according to the charging weight from large to small for the ith vehicle to be charged, wherein the sequence of the sequenced charging piles is a suggested charging pile sequence.
8. The intelligent community information processing method based on the internet of things of claim 7, which is used in a community information processing background, and is characterized in that the method for updating the charging pile queue information of the charging pile number is as follows:
and adding the number of the vehicle to be charged to the tail of the queuing vehicle queue corresponding to the charging pile number selected by the driver of the vehicle to be charged.
9. The intelligent community information processing method based on the internet of things of claim 8, which is used in a community information processing background, and is characterized in that the mode of updating the historical charging information of the electric vehicle is as follows:
and re-calculating the average charging time length and the average minimum charging electric quantity of the electric vehicle in the historical charging meter, the average charging running distance and the average waiting time length in the historical selection meter, and updating the historical charging meter and the historical selection meter.
10. An intelligent community information processing system based on the internet of things, which is realized based on the method of any one of claims 1-9, and is characterized by comprising an information collection module, a data retrieval module, a suggested charging pile generation module and an information update module; wherein, each module is connected by a wired and/or wireless network mode;
the information collection module is used for acquiring layout information of the charging piles in the community in advance, collecting real-time information of vehicles of each electric vehicle in the community and charging pile queue information of each charging pile in real time, sending the real-time information of the vehicles to the data retrieval module, and sending the layout information of the charging piles, the real-time information of the vehicles and the charging pile queue information to the suggested charging pile generation module;
the data calling module is used for calling historical charging information and historical selection information corresponding to the electric vehicle based on the real-time information of the vehicle and sending the historical charging information and the historical selection information to the suggested charging pile generation module;
the suggested charging pile generation module searches all vehicles to be charged based on the real-time information of the vehicles, generates suggested charging pile sequences for each vehicle to be charged based on the charging pile queue information, the real-time information of the vehicles of each vehicle to be charged, the historical charging information and the historical selection information, and sends the suggested charging pile sequences to the information updating module;
and the information updating module is used for sending the suggested charging pile sequence to a vehicle-mounted screen of the charging vehicle for visual display, receiving the charging pile number selected by a driver of each vehicle to be charged, updating the charging pile queue information of the charging pile number, and updating the historical charging information of the electric vehicle after the electric vehicle is charged.
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