CN117079494A - Underground garage intelligent management system based on blockchain - Google Patents
Underground garage intelligent management system based on blockchain Download PDFInfo
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Abstract
The invention relates to the technical field of garage management, which is used for solving the problems that in the existing underground garage management mode, feedback analysis on the environment state of a garage and the safety state of a parked vehicle are difficult to achieve, and fair allocation of parking spaces is difficult to achieve, so that the underground garage is bad in environment, the occupancy rate of the parking spaces is low, and the safety of parking of the vehicles cannot be ensured, and in particular relates to an underground garage intelligent management system based on a blockchain, which comprises the following steps: the system comprises a data acquisition unit, a cloud database, a garage environment supervision unit, a garage parking space supervision unit, a vehicle safety supervision unit, an intelligent feedback management unit and a display terminal. According to the invention, the parking space state and the entering vehicle state of the underground garage are monitored and analyzed, so that the rapid and efficient parking of the vehicle is realized, the utilization rate and the safety of the underground garage are improved, and the optimization of the environment of the underground garage and the safety of the parked vehicle are also realized.
Description
Technical Field
The invention relates to the technical field of garage management, in particular to an underground garage intelligent management system based on a blockchain.
Background
A blockchain is a chain of blocks one by one. Each block holds certain information which is linked in a chain according to the time sequence of their respective generation. This chain is kept in all servers, and the entire blockchain is secure as long as one server in the entire system can work. The intelligent management system of the underground garage is constructed based on the blockchain, so that the safety of vehicle information of a user can be guaranteed to the greatest extent.
However, in the management mode of the underground garage, for example, the environment of the underground garage is moist and contains a large amount of gas and dust harmful to human bodies, and the analysis and timely feedback of the environment state of the underground garage are difficult to achieve in the conventional management of the underground garage, so that the environment of the underground garage is bad and the physical and mental health of a user is also influenced;
for example, the underground garage is used for distributing parking spaces according to the parking space requirements of vehicle owners, so that the parking spaces are distributed unfairly, the occupancy rate of the parking spaces is low, and the like;
for another example, in the existing underground garage management, it is difficult to analyze and feed back the safety state of the parked vehicles, and the safety of parking the vehicles cannot be guaranteed.
In order to solve the above-mentioned defect, a technical scheme is provided.
Disclosure of Invention
The invention aims to solve the problems that the existing underground garage management mode is difficult to realize feedback analysis on the environment state of the garage and the safety state of the parked vehicles, and is difficult to realize fair allocation of parking spaces, so that the underground garage is bad in environment, low in parking space occupancy rate and incapable of guaranteeing the safety of vehicle parking.
The aim of the invention can be achieved by the following technical scheme: an underground garage intelligent management system based on a blockchain includes: the system comprises a data acquisition unit, a cloud database, a garage environment supervision unit, a garage parking space supervision unit, a vehicle safety supervision unit, an intelligent feedback management unit and a display terminal;
the data acquisition unit is used for acquiring parking space state information, vehicle state information, garage environment state information and vehicle parking state information of the target underground garage;
the garage parking space supervision unit is used for monitoring the parking space state of the target underground garage and the vehicle state of the entering vehicle, so that parking space matching analysis is carried out on the target entering vehicle;
the garage environment monitoring unit is used for monitoring the garage environment state of the target underground garage, so that the garage environment state of the target underground garage is analyzed;
the vehicle safety supervision unit is used for monitoring vehicle parking safety parameters of the target underground garage, so that the vehicle parking state of the target parked vehicle is analyzed;
the intelligent feedback management unit is used for carrying out corresponding feedback description on the parking space state, the vehicle state, the garage environment state and the vehicle parking state of the target entering vehicle of the underground garage based on the blockchain, and carrying out display description through the display terminal;
the cloud database is used for storing a parking space size attribute reference table of the target underground garage, storing an environment state grading condition table of the target underground garage and storing a parking safety grading condition table of the target underground garage.
Preferably, the monitoring of the parking space state of the target underground garage is performed by the following specific monitoring process:
the method comprises the steps of obtaining the vacant parking space of a target underground garage, and comparing and analyzing the vacant parking space with a preset first allowance comparison interval and a preset second allowance comparison interval;
when the empty parking space of the target underground garage is within a preset first margin comparison interval, generating a parking space shortage signal and triggering a nearby matching instruction;
and when the vacant parking space of the target underground garage is within a preset second margin comparison interval, generating a parking space allowance signal and triggering a condition matching instruction.
Preferably, the vehicle state of the entering vehicle of the target underground garage is monitored, and the specific monitoring process is as follows:
acquiring the length, the width and the height of a target entering vehicle in an underground garage in vehicle Size parameters, calibrating the length, the width and the height as L, W and H respectively, comprehensively analyzing the length, the width and the height, and obtaining a Size attribute coefficient Size of the entering vehicle according to a set formula Size=e1×L+e2×W+e3×H, wherein e1, e2 and e3 are weight factor coefficients of the length, the width and the height respectively, and e1, e2 and e3 are natural numbers larger than 0;
and comparing and matching the size attribute coefficient of the target entering vehicle with a parking space size attribute reference table stored in the cloud database, thereby obtaining the corresponding parking space size attribute of the target entering vehicle.
Preferably, the parking space matching analysis is performed on the target entering vehicle, and the specific analysis process is as follows:
acquiring the travelling position of a target entrance vehicle in the underground garage according to the triggered nearby matching instruction, acquiring the matched parking space size attribute of the target entrance vehicle according to the travelling position of the target entrance vehicle, and selecting a parking space closest to the travelling position of the target entrance vehicle from all the corresponding parking space size attributes to be distributed to the target entrance vehicle;
according to the triggered condition matching instruction, according to the matched corresponding parking space size attribute of the target entrance vehicle, acquiring the predicted parking time length in the parking demand information of the target entrance vehicle, setting a first time length reference interval and a second time length reference interval of the predicted parking time length, and substituting the predicted parking time length of the target entrance vehicle into the preset first time length reference interval and second time length reference interval for comparison analysis;
when the predicted parking time of the target entering vehicle is within a preset first time reference interval, matching the corresponding target entering vehicle with a parking space with the corresponding parking space size attribute of the exiting area;
when the estimated parking time length of the target entrance vehicle is within a preset second time length reference interval, acquiring an expected target position in parking demand information of the target entrance vehicle, and matching the corresponding target entrance vehicle with a parking space with the corresponding parking space size attribute of the expected position area according to the expected target position.
Preferably, the specific operation procedure of selecting the parking space closest to the travelling position of the target entering vehicle from all the corresponding parking space size attributes for allocation to the target entering vehicle is as follows:
calculating the distance between the travelling position of the target entering vehicle and each candidate parking space position, and calibrating the travelling position of the target entering vehicle as p1 i （x1 i ，y1 i ) Calibrating the candidate parking space position as p2 k （x2 k ，y2 k ) According to the distance formulaThereby obtaining the distance value dis of each candidate parking space of the corresponding target entrance vehicle ik Wherein i=1, 2,3 … … m1, k=1, 2,3 … … m2;
and selecting the distance value of one candidate parking place with the smallest value from the distance values of the candidate parking places as the distance value closest to the travelling position of the target entrance vehicle, thereby acquiring the parking place closest to the target vehicle and distributing the parking place closest to the target vehicle to the corresponding target entrance vehicle.
Preferably, the monitoring and analyzing the garage environment state of the target underground garage specifically comprises the following steps:
the method comprises the steps of obtaining the area of a target underground garage, dividing the area of the target underground garage into j areas according to the area of the target underground garage, wherein j=1, 2 and 3 … … n;
monitoring humidity, dust concentration, illuminance and noise in environmental state parameters of each area of the target underground garage in unit time and calibrating the parameters assd j 、fc j 、gz j And zs j And carrying out formulated analysis on the sample according to a set formulaObtaining the environmental coefficient ecx of each area of the target underground garage j Wherein ρ1, ρ2, ρ3 and ρ4 are correction factor coefficients of humidity, dust concentration, illuminance and noise, respectively, and ρ1, ρ2, ρ3 and ρ4 are natural numbers greater than 0;
comparing, matching and analyzing the environmental coefficients of all areas of the target underground garage with an environmental state grading condition table stored in a cloud database, thereby obtaining the environmental state feedback grade of all areas of the target underground garage;
counting the ratio of the number of areas marked as the medium pollution state level and the severe pollution state level, marking the ratio as zb, setting a comparison threshold value val of the ratio zb, comparing and analyzing the ratio zb with a preset comparison threshold value val, generating an environment normal signal when the ratio zb is smaller than the preset comparison threshold value val, and otherwise, generating an environment abnormal signal when the ratio zb is larger than or equal to the preset comparison threshold value val.
Preferably, the analyzing the vehicle parking status of the target parked vehicle includes the following specific steps:
the method comprises the steps of monitoring parking time, a warehouse-in deviation value and a vehicle window opening value in vehicle parking safety parameters of a target parked vehicle in real time, calibrating the parking time, the warehouse-in deviation value and the vehicle window opening value into ts, pz and dz respectively, carrying out normalized analysis on the ts, pz and dz, and obtaining a parking safety coefficient sfx of the target parked vehicle according to a set formula sfx=λ1×ts+λ2×pz+λ3×dz, wherein λ1, λ2 and λ3 are normalization factors of the parking time, the warehouse-in deviation value and the vehicle window opening value respectively;
and comparing, matching and analyzing the parking safety coefficient of the target parked vehicle of the underground garage with a parking safety grading condition table stored in the cloud database, thereby obtaining the parking safety grade corresponding to the target parked vehicle.
The invention has the beneficial effects that:
the method and the device have the advantages that the clear judgment, analysis and treatment of the states of the vacant parking spaces of the underground garage are clear through interval substitution comparison and classification output; the method of comprehensively analyzing the data and comparing and matching the database is utilized to determine the required parking space size attribute of each entering vehicle, and a foundation is laid for realizing intelligent matching of the parking spaces of the underground garage;
the parking space size attribute of the entering vehicles, the parking space vacant state of the underground garage and the parking requirement of the target vehicles are comprehensively analyzed, so that intelligent allocation operation of the parking spaces of the entering vehicles is realized;
the method realizes the monitoring feedback of the environment state of the underground garage through the regional division, the regional monitoring and the formulated calculation, and further realizes the regulation and control management of the abnormal environment of the underground garage; the method has the advantages that the judgment and analysis of the parking safety states of all parked vehicles in the underground garage are realized by means of data calibration, normalization analysis and threshold comparison analysis, so that the intelligent management of the vehicles in the underground garage is realized while the parking safety level of all parked vehicles is defined;
based on the blockchain technology, the parking space state and the entering vehicle state of the underground garage are monitored and analyzed, so that rapid and efficient parking of vehicles is realized, time waste and vehicle congestion caused by searching for the parking space are avoided, meanwhile, the utilization rate and safety of the underground garage are improved, in addition, the environment state and parking safety of the underground garage are monitored and analyzed, the optimization of the environment of the underground garage is realized, the safety of parking vehicles is improved, and better parking service is provided for users.
Drawings
The invention is further described below with reference to the accompanying drawings.
Fig. 1 is a system block diagram of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the present invention is an intelligent management system for an underground garage based on blockchain, comprising: the system comprises a data acquisition unit, a cloud database, a garage environment supervision unit, a garage parking space supervision unit, a vehicle safety supervision unit, an intelligent feedback management unit and a display terminal.
It is to be noted that the data acquisition unit, the garage environment supervision unit, the garage parking space supervision unit, the vehicle safety supervision unit and the intelligent feedback management unit are respectively connected with the cloud database, and the garage environment supervision unit, the garage parking space supervision unit and the vehicle safety supervision unit are respectively connected with the intelligent feedback management unit.
The data acquisition unit is used for acquiring parking space state information, vehicle state information, garage environment state information and vehicle parking state information of the target underground garage;
the cloud database is used for storing the parking space size attribute reference table of the target underground garage, storing the environment state grading condition table of the target underground garage and storing the parking safety grading condition table of the target underground garage.
The garage parking space supervision unit is used for monitoring the parking space state of the target underground garage, and the specific monitoring process is as follows:
the method comprises the steps of obtaining the vacant parking space of a target underground garage, and comparing and analyzing the vacant parking space with a preset first allowance comparison interval and a preset second allowance comparison interval, wherein the interval numerical range of the first allowance comparison interval is smaller than that of the second allowance comparison interval;
when the empty parking space of the target underground garage is within a preset first margin comparison interval, generating a parking space shortage signal and triggering a nearby matching instruction;
and when the vacant parking space of the target underground garage is within a preset second margin comparison interval, generating a parking space allowance signal and triggering a condition matching instruction.
The garage parking space supervision unit is used for monitoring the vehicle state of the entering vehicle of the target underground garage, and the specific monitoring process is as follows:
acquiring the length, width and height of a target entering vehicle in an underground garage, calibrating the length, width and height as L, W and H respectively, comprehensively analyzing the length, width and height in the vehicle Size parameters of the target entering vehicle, and obtaining a Size attribute coefficient Size of the entering vehicle according to a set formula Size=e1×L+e2×W+e3×H, wherein e1, e2 and e3 are weight factor coefficients of the length, width and height respectively, e1, e2 and e3 are natural numbers larger than 0, and the weight factor coefficients are used for balancing the duty ratio weights of various data in formula calculation so as to promote the accuracy of calculation results;
comparing and matching the size attribute coefficient of the target entering vehicle with a parking space size attribute reference table stored in a cloud database, thereby obtaining a corresponding parking space size attribute of the target entering vehicle, wherein each size attribute coefficient of the entering vehicle corresponds to one parking space size attribute, and the parking space size attribute comprises a big parking space size attribute, a medium parking space size attribute and a small parking space size attribute;
in order to better enable a parking user to find a parking place suitable for vehicle allocation, the parking place with the large parking place size attribute is marked by a number 1, the parking place with the medium parking place size attribute is marked by a number 2, and the parking place with the small parking place size attribute is marked by a number 3.
From this, carry out parking stall matching analysis to the target entering vehicle, the concrete analysis process is as follows:
acquiring the travelling position of a target entrance vehicle in the underground garage according to the triggered nearby matching instruction, acquiring the matched parking space size attribute of the target entrance vehicle according to the travelling position of the target entrance vehicle, and selecting a parking space closest to the travelling position of the target entrance vehicle from all the corresponding parking space size attributes to be distributed to the target entrance vehicle;
according to the triggered condition matching instruction, according to the matched corresponding parking space size attribute of the target entrance vehicle, acquiring the predicted parking time length in the parking demand information of the target entrance vehicle, setting a first time length reference interval and a second time length reference interval of the predicted parking time length, and substituting the predicted parking time length of the target entrance vehicle into the preset first time length reference interval and second time length reference interval for comparison analysis, wherein the first time length reference interval is used for representing a time interval with shorter parking time length, namely temporary parking, and the second time length reference interval is used for representing a time interval with shorter vehicle time length, namely long-time parking;
when the predicted parking time of the target entering vehicle is within a preset first time reference interval, matching the corresponding target entering vehicle with a parking space with the corresponding parking space size attribute of the exiting area;
when the estimated parking time length of the target entrance vehicle is within a preset second time length reference interval, acquiring an expected target position in parking demand information of the target entrance vehicle, and matching the corresponding target entrance vehicle with a parking space with a corresponding parking space size attribute of an expected position area according to the expected target position, wherein the specific steps are as follows:
calculating the distance between the travelling position of the target entering vehicle and each candidate parking space position, and calibrating the travelling position of the target entering vehicle as p1 i （x1 i ，y1 i ) Calibrating the candidate parking space position as p2 k （x2 k ，y2 k ) According to the distance formulaThereby obtaining the distance value dis of each candidate parking space of the corresponding target entrance vehicle ik Where i=1, 2,3 … … m1, k=1, 2,3 … … m2, i denotes the number of target entering vehicles, and k denotes the number of candidate parking spaces;
selecting the distance value of one candidate parking place with the smallest value from the distance values of the candidate parking places as the distance value closest to the advancing position of the target entering vehicle, thereby acquiring the parking place closest to the target vehicle and distributing the parking place closest to the target vehicle to the corresponding target entering vehicle;
it should be noted that the desired target location may be represented by the exit of the target underground garage, i.e., the matching of the target parking space is performed based on the desired exit location of the underground garage from the target entering vehicle.
The garage environment monitoring unit is used for monitoring the garage environment state of the target underground garage, so that the garage environment state of the target underground garage is analyzed, and the garage environment monitoring unit is specific to:
the method comprises the steps of obtaining the area of a target underground garage, dividing the area of the target underground garage into j areas according to the area of the target underground garage, wherein j=1, 2,3 … … n, and setting specific numerical values of j in specific underground garage management cases by a person skilled in the art;
monitoring humidity, dust concentration, illuminance and noise in environmental state parameters of each area of the target underground garage in unit time, and calibrating the parameters as sd j 、fc j 、gz j And zs j And carrying out formulated analysis on the sample according to a set formulaObtaining the environmental coefficient ecx of each area of the target underground garage j Wherein ρ1, ρ2, ρ3 and ρ4 are correction factor coefficients of humidity, dust concentration, illuminance and noise, respectively, and ρ1, ρ2, ρ3 and ρ4 are natural numbers greater than 0, and the correction factor coefficients are used for correcting deviations of various parameters occurring in the formula calculation process, so that more accurate parameter data are calculated;
wherein the dust concentration refers to the sum data of the concentration of PM2.5 and the concentration of PM 10;
comparing, matching and analyzing the environmental coefficients of each area of the target underground garage with an environmental state grading condition table stored in a cloud database, so as to obtain environmental state feedback levels of each area of the target underground garage, wherein each environmental coefficient corresponds to one environmental state feedback level, and the environmental state feedback levels comprise a light pollution state level, a medium pollution state level and a heavy pollution state level;
counting the ratio of the number of areas marked as the medium pollution state level and the severe pollution state level, marking the ratio as zb, setting a comparison threshold value val of the ratio zb, comparing and analyzing the ratio zb with a preset comparison threshold value val, generating an environment normal signal when the ratio zb is smaller than the preset comparison threshold value val, otherwise, generating an environment abnormal signal when the ratio zb is larger than or equal to the preset comparison threshold value val;
and sending the generated environment abnormal signal to an intelligent feedback management unit, carrying out ventilation operation on the target underground garage through the intelligent feedback management unit, and carrying out display description through a display terminal.
The vehicle safety supervision unit is used for monitoring vehicle parking safety parameters of the target underground garage, so that the vehicle parking state of the target parked vehicle is analyzed, and the vehicle safety supervision unit is specific to:
the method comprises the steps of monitoring parking time, a warehouse-in deviation value and a window opening value in vehicle parking safety parameters of a target parked vehicle in real time, calibrating the parking time, the warehouse-in deviation value and the window opening value into ts, pz and dz respectively, carrying out normalized analysis on the values, and obtaining a parking safety coefficient sfx of the target parked vehicle according to a set formula sfx=λ1×ts+λ2×pz+λ3×dz, wherein λ1, λ2 and λ3 are normalization factors of the parking time, the warehouse-in deviation value and the window opening value respectively, and the normalization factors are used for representing the conversion of various data of the parking time, the warehouse-in deviation value and the window opening value into a dimensionless form;
it should be noted that the parking duration refers to a parking duration from when an entering vehicle enters an underground garage and finishes parking a parking space to when a target parked vehicle under the current monitoring time; the warehousing deviation value refers to the horizontal distance difference between the actual parking position of the target parked vehicle and the central line of the parking space, namely the warehousing deviation value is the percentage of the distance from the actual parking position of the target parked vehicle to the central line of the parking space and the width of the parking space; the window opening value refers to the ratio of the opening area of all windows of the target parked vehicle to the total area of all windows;
and comparing, matching and analyzing the parking safety coefficient of the target parked vehicle of the underground garage with a parking safety grading condition table stored in the cloud database, thereby obtaining a parking safety grade corresponding to the target parked vehicle, wherein each parking safety coefficient corresponds to one parking safety grade, and the parking safety grades comprise a high parking safety grade, a medium parking safety grade and a low parking safety grade.
And sending the target parked vehicle calibrated to be low in parked safety level to the intelligent feedback management unit, enhancing the safety inspection operation of the first target parked vehicle through the intelligent feedback management unit, and displaying and explaining through the display terminal.
When the method is used, the parking space state of the target underground garage is monitored, and the clear judgment, analysis and treatment of the vacant parking space state of the underground garage are clear by utilizing the mode of interval substitution comparison and classification output;
the vehicle state of the entering vehicles of the target underground garage is monitored, the required parking space size attribute of each entering vehicle is defined by utilizing a data comprehensive analysis and database comparison matching analysis mode, and a foundation is laid for realizing intelligent matching of parking spaces of the underground garage;
the parking space size attribute of the entering vehicles, the parking space vacant state of the underground garage and the parking requirement of the target vehicles are comprehensively analyzed, so that intelligent allocation operation of the parking spaces of the entering vehicles is realized;
the garage environment state of the target underground garage is monitored, so that the garage environment state of the target underground garage is analyzed, and the monitoring feedback of the environment state of the underground garage is realized by adopting the modes of regional division, regional monitoring and formula calculation, so that the regulation and control management of the abnormal environment of the underground garage is realized;
by monitoring the vehicle parking safety parameters of the target underground garage and analyzing the vehicle parking state of the target parked vehicle, the method realizes the judgment and analysis of the parking safety states of the parked vehicles of the underground garage by utilizing the data calibration, normalization analysis and threshold comparison analysis, thereby realizing the intelligent management of the underground garage vehicles while defining the parking safety level of each parked vehicle;
based on the blockchain technology, the parking space state and the entering vehicle state of the underground garage are monitored and analyzed, so that rapid and efficient parking of vehicles is realized, time waste and vehicle congestion caused by searching for the parking space are avoided, meanwhile, the utilization rate and safety of the underground garage are improved, in addition, the environment state and parking safety of the underground garage are monitored and analyzed, the optimization of the environment of the underground garage is realized, the safety of parking vehicles is improved, and better parking service is provided for users.
The foregoing is merely illustrative of the structures of this invention and various modifications, additions and substitutions for those skilled in the art can be made to the described embodiments without departing from the scope of the invention or from the scope of the invention as defined in the accompanying claims.
Claims (7)
1. Underground garage intelligent management system based on blockchain, characterized by comprising:
the data acquisition unit is used for acquiring parking space state information, vehicle state information, garage environment state information and vehicle parking state information of the target underground garage;
the garage parking space monitoring unit is used for monitoring the parking space state of the target underground garage and the vehicle state of the entering vehicle, so that the target entering vehicle is subjected to parking space matching analysis;
the garage environment monitoring unit is used for monitoring the garage environment state of the target underground garage, so that the garage environment state of the target underground garage is analyzed;
the vehicle safety supervision unit is used for monitoring vehicle parking safety parameters of the target underground garage, so that the vehicle parking state of the target parked vehicle is analyzed;
the intelligent feedback management unit is used for carrying out corresponding feedback description on the parking space state, the vehicle state, the garage environment state and the vehicle parking state of the target entering vehicle of the underground garage based on the blockchain, and carrying out display description through the display terminal;
the cloud database is used for storing the parking space size attribute reference table of the target underground garage, storing the environment state grading condition table of the target underground garage and storing the parking safety grading condition table of the target underground garage.
2. The intelligent management system for the underground garage based on the blockchain system according to claim 1, wherein the parking space state of the target underground garage is monitored, and the specific monitoring process is as follows:
the method comprises the steps of obtaining the vacant parking space of a target underground garage, and comparing and analyzing the vacant parking space with a preset first allowance comparison interval and a preset second allowance comparison interval;
when the empty parking space of the target underground garage is within a preset first margin comparison interval, generating a parking space shortage signal and triggering a nearby matching instruction;
and when the vacant parking space of the target underground garage is within a preset second margin comparison interval, generating a parking space allowance signal and triggering a condition matching instruction.
3. The intelligent management system for the underground garage based on the blockchain as in claim 1, wherein the vehicle state of the entering vehicle of the target underground garage is monitored, and the specific monitoring process is as follows:
acquiring the length, width and height of a target entering vehicle in an underground garage in vehicle size parameters, and comprehensively analyzing the length, width and height of the target entering vehicle, thereby obtaining a size attribute coefficient of the entering vehicle;
and comparing and matching the size attribute coefficient of the target entering vehicle with a parking space size attribute reference table stored in the cloud database, thereby obtaining the corresponding parking space size attribute of the target entering vehicle.
4. The intelligent management system of the underground garage based on the blockchain according to claim 1, wherein the parking space matching analysis is performed on the target entering vehicle, and the specific analysis process is as follows:
acquiring the travelling position of a target entrance vehicle in the underground garage according to the triggered nearby matching instruction, acquiring the matched parking space size attribute of the target entrance vehicle according to the travelling position of the target entrance vehicle, and selecting a parking space closest to the travelling position of the target entrance vehicle from all the corresponding parking space size attributes to be distributed to the target entrance vehicle;
according to the triggered condition matching instruction, according to the matched corresponding parking space size attribute of the target entrance vehicle, acquiring the predicted parking time length in the parking demand information of the target entrance vehicle, setting a first time length reference interval and a second time length reference interval of the predicted parking time length, and substituting the predicted parking time length of the target entrance vehicle into the preset first time length reference interval and second time length reference interval for comparison analysis;
when the predicted parking time of the target entering vehicle is within a preset first time reference interval, matching the corresponding target entering vehicle with a parking space with the corresponding parking space size attribute of the exiting area;
when the estimated parking time length of the target entrance vehicle is within a preset second time length reference interval, acquiring an expected target position in parking demand information of the target entrance vehicle, and matching the corresponding target entrance vehicle with a parking space with the corresponding parking space size attribute of the expected position area according to the expected target position.
5. The intelligent management system for the underground garage based on the blockchain as in claim 4, wherein the specific operation process of selecting the parking space closest to the travelling position of the target entering vehicle from all the corresponding parking space size attributes for allocation to the target entering vehicle is as follows:
calculating the distance between the travelling position of the target entering vehicle and each candidate parking space position, and calibrating the travelling position of the target entering vehicle as p1 i （x1 i ，y1 i ) Calibrating the candidate parking space position as p2 k （x2 k ，y2 k ) According to the distance formulaThereby obtaining each of the candidates of the corresponding target entry vehicleDistance value dis of parking space selection ik Wherein i=1, 2,3 … … m1, k=1, 2,3 … … m2;
and selecting the distance value of one candidate parking place with the smallest value from the distance values of the candidate parking places as the distance value closest to the travelling position of the target entrance vehicle, thereby acquiring the parking place closest to the target vehicle and distributing the parking place closest to the target vehicle to the corresponding target entrance vehicle.
6. The intelligent management system for the underground garage based on the blockchain as in claim 1, wherein the monitoring and analyzing the garage environment status of the target underground garage comprises the following specific steps:
the method comprises the steps of obtaining the area of a target underground garage, dividing the area of the target underground garage into j areas according to the area of the target underground garage, wherein j=1, 2 and 3 … … n;
monitoring humidity, dust concentration, illuminance and noise in environmental state parameters of each area of the target underground garage in unit time, and carrying out formulated analysis on the humidity, the dust concentration, the illuminance and the noise to obtain environmental coefficients of each area of the target underground garage;
comparing, matching and analyzing the environmental coefficients of all areas of the target underground garage with an environmental state grading condition table stored in a cloud database, thereby obtaining the environmental state feedback grade of all areas of the target underground garage;
counting the ratio of the number of areas marked as the medium pollution state level and the severe pollution state level, marking the ratio as zb, setting a comparison threshold value val of the ratio zb, comparing and analyzing the ratio zb with a preset comparison threshold value val, generating an environment normal signal when the ratio zb is smaller than the preset comparison threshold value val, and otherwise, generating an environment abnormal signal when the ratio zb is larger than or equal to the preset comparison threshold value val.
7. The intelligent management system for the underground garage based on the blockchain as in claim 1, wherein the analyzing the parking status of the target parked vehicle comprises the following specific steps:
the parking time length, the warehousing deviation value and the window opening value in the vehicle parking safety parameters of the target parked vehicle are monitored in real time, and normalized analysis is carried out on the parking time length, the warehousing deviation value and the window opening value, so that the parking safety coefficient of the target parked vehicle is obtained;
and comparing, matching and analyzing the parking safety coefficient of the target parked vehicle of the underground garage with a parking safety grading condition table stored in the cloud database, thereby obtaining the parking safety grade corresponding to the target parked vehicle.
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| CN117711206A (en) | 2024-03-15 |
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