CN115489372B - Intelligent charging cabinet management and control system based on data acquisition - Google Patents
Intelligent charging cabinet management and control system based on data acquisition Download PDFInfo
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- CN115489372B CN115489372B CN202211121420.6A CN202211121420A CN115489372B CN 115489372 B CN115489372 B CN 115489372B CN 202211121420 A CN202211121420 A CN 202211121420A CN 115489372 B CN115489372 B CN 115489372B
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- 238000012545 processing Methods 0.000 claims abstract description 37
- 238000005259 measurement Methods 0.000 claims abstract description 8
- 238000009434 installation Methods 0.000 claims description 42
- 238000000034 method Methods 0.000 claims description 32
- 230000008569 process Effects 0.000 claims description 22
- 230000007613 environmental effect Effects 0.000 claims description 18
- 238000012423 maintenance Methods 0.000 claims description 15
- 238000012937 correction Methods 0.000 claims description 9
- 238000011156 evaluation Methods 0.000 claims description 9
- 238000004140 cleaning Methods 0.000 claims description 3
- 230000000694 effects Effects 0.000 description 3
- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 description 2
- 229910052744 lithium Inorganic materials 0.000 description 2
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Classifications
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
- B60L53/60—Monitoring or controlling charging stations
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/70—Energy storage systems for electromobility, e.g. batteries
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/7072—Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02T90/10—Technologies relating to charging of electric vehicles
- Y02T90/12—Electric charging stations
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- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Transportation (AREA)
- Mechanical Engineering (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
The invention discloses an intelligent charging cabinet management and control system based on data acquisition, which comprises a vehicle information acquisition module, an image acquisition module, a battery acquisition module, a position acquisition module, an environment acquisition module, a ranging module, a user information acquisition module, a data receiving module, a data processing module, a master control module and an information sending module; the battery charging cabinet comprises a charging cabinet pre-installed position information acquisition module, a position acquisition module, an environment acquisition module and a battery acquisition module, wherein the position acquisition module is used for acquiring charging cabinet pre-installed position information, the environment acquisition module is used for acquiring environment information of the charging cabinet, the user information acquisition module is used for acquiring user information of the charging cabinet, the image acquisition module is used for acquiring image information of the charging cabinet pre-installed position, the vehicle information acquisition module is used for acquiring traffic vehicle quantity information in a preset distance of the charging cabinet, the distance measurement module is used for performing distance measurement to acquire distance information, and the battery acquisition module is used for acquiring battery information. The intelligent charging cabinet management and control system can comprehensively and comprehensively manage and control the intelligent charging cabinet.
Description
Technical Field
The invention relates to the field of charging cabinets, in particular to an intelligent charging cabinet management and control system based on data acquisition.
Background
The charging cabinet is a centralized charging device which is used for safely charging various lithium batteries and has an independent fire extinguishing mechanism and can charge a plurality of lithium electronic storage batteries for electric bicycles, and is used for charging and storing the batteries of the electric bicycles. The method is commonly used in occasions such as markets, communities, schools, enterprises and the like;
in the processes of management and control of the charging cabinet after the charging cabinet is installed at the selected charging cabinet installation position, a charging cabinet management and control system is used for intelligently carrying out comprehensive management and control of the charging cabinet.
The existing charging cabinet control system is single in control type and poor in control effect, and brings a certain influence to the use of the charging cabinet control system, so that the intelligent charging cabinet control system based on data acquisition is provided.
Disclosure of Invention
The technical problems to be solved by the invention are as follows: how to solve the problem that the use of the existing charging cabinet control system brings a certain influence to the charging cabinet control system due to the fact that the control type is single and the control effect is poor, the intelligent charging cabinet control system based on data acquisition is provided.
The invention solves the technical problems through the following technical scheme that the system comprises a vehicle information acquisition module, an image acquisition module, a battery acquisition module, a position acquisition module, an environment acquisition module, a ranging module, a user information acquisition module, a data receiving module, a data processing module, a master control module and an information sending module;
the system comprises a charging cabinet pre-installed position information acquisition module, an environment acquisition module, a user information acquisition module, a vehicle information acquisition module and a battery acquisition module, wherein the position acquisition module is used for acquiring the charging cabinet pre-installed position information, the environment acquisition module is used for acquiring the environment information of the charging cabinet, the user information acquisition module is used for acquiring the user information of the charging cabinet, the image acquisition module is used for acquiring the image information of the charging cabinet pre-installed position, the vehicle information acquisition module is used for acquiring the traffic vehicle quantity information in the preset distance of the charging cabinet, the distance measurement module is used for performing distance measurement to acquire distance information, and the battery acquisition module is used for acquiring battery information;
the data receiving module is used for receiving the pre-installation position information of the charging cabinet, the environment information of the charging cabinet, the user information of the charging cabinet, the image information of the pre-installation position of the charging cabinet, the battery information, the number information of passing vehicles and the distance information, sending the information to the cloud for storage, and then sending the information to the data processing module;
the data processing module is used for processing the pre-installation position information of the charging cabinet, the environment information of the charging cabinet, the user information of the charging cabinet, the image information of the pre-installation position of the charging cabinet, the battery information, the number information of passing vehicles and the distance information to generate installation determination information, and the installation determination information, the position adjustment information, the charging cabinet management and control information and the battery warning information;
and the master control module control information sending module sends the information to the preset receiving terminal after the installation determining information, the position adjusting information, the charging cabinet management and control information and the battery warning information are generated.
Further, the specific processing procedure of the installation determining information and the position adjusting information is as follows:
step one: the collected preassembly position information of the charging cabinet is extracted, the preassembly position information is imported into the Internet, and surrounding environment information of the preassembly position is obtained from a map in the Internet;
step two: acquiring distance information between preassembly positions and roads, surrounding cell information and office building information from surrounding environment information, acquiring cell number, estimated resident number of each cell, office building number and estimated personnel number information of the office building from the Internet after acquiring the cell information and the office building information, marking the cell number as H, marking the estimated resident number of each cell as G, marking the office building number as P, and marking the estimated personnel number information of the office building as F;
step three: g1+g2+g … … +gh=g by the formula g1+g2+g … … +gh=g And obtaining the total estimated resident number G And then through the formula p1+p2+p … … +pf=p And obtaining the estimated number P of persons in the office building And ；
step four: then extracting image information of the preassembled position of the charging cabinet, processing the image information to obtain people flow information, and marking the people flow information as Q;
step five: endowing P with And a correction value Z1 for giving the total estimated resident number G And a correction value Z2, a correction value Z3, Z1+Z2+Z3=1, and Z1 > Z2 > Z3 is given to the pedestrian flow information Q, by the formula P And *Z1+G and * Z2+q×z3=pz, resulting in an installation evaluation parameter Pz;
step six: when the installation evaluation parameter Pz is larger than a preset value, extracting distance information between the preassembly position and the road and marking the distance information as M, generating installation determination information when the M is within a preset value distance range, namely generating position adjustment information when the M is outside the preset value distance range, and directly generating the position adjustment information when the installation evaluation parameter Pz is smaller than the preset value.
The obtaining process of the people flow information in the fourth step is as follows: taking out the image information of the preassembled position of the charging cabinet, cleaning the image information, acquiring the pedestrian passing quantity information in a single day from the image information, marking the pedestrian passing quantity information as U, collecting at least x times, wherein x is more than or equal to 30, removing the maximum value Umax and the minimum value Umin in the collected x-times pedestrian passing quantity information U, and then calculating the average pedestrian flow information of the average value of the remaining x-2 pedestrian passing quantity information U, namely the pedestrian flow information in the fourth step.
The charging cabinet adjusting information comprises non-adjusting information, adding equipment information and reducing equipment information, and the specific processing process of the charging cabinet adjusting information is as follows: extracting the collected user information of the charging cabinet, wherein the user information comprises user quantity information and the number of times information of using the charging cabinet by a single user, marking the user quantity information as K, processing the number of times information of using the charging cabinet by the single user to obtain use parameter information, marking the use parameter as V, collecting the battery quantity information in the installed charging cabinet, marking the battery quantity information as W, obtaining a daily use parameter Kv through a formula Kx V=Kv, continuously collecting m units of use parameters Kv, and calculating the average value of the m units of use parameters Kv to obtain an average use parameter Kv Are all When the average use parameter Kv Are all When the number of the batteries in the charging cabinet is larger than a preset value, generating non-adjustment information, and when the average use parameter Kv Are all When the number of the batteries in the charging cabinet is larger than a preset value and the number of the batteries in the charging cabinet is smaller than the preset value, generating increased equipment information, and when the average use parameter Kv Are all And when the number of the batteries in the charging cabinet is smaller than the preset value, the equipment information is reduced when the number of the batteries in the charging cabinet is larger than the preset value.
The specific process of processing the frequency information of the single user using the charging cabinet to obtain the using parameter information is as follows: the number of times information of using the charging cabinet by the single user is marked as Y by the formula (y1+y2+y … … +yk)/k=y for the number of times information of using the charging cabinet by the single user for a single day Are all I.e. obtaining the usage parameter information Y Are all 。
The charging cabinet management and control information comprises a charging cabinet shutdown instruction and a charging cabinet maintenance instruction, and the specific processing process of the charging cabinet management and control information is as follows:
s1: extracting the collected environment information of the charging cabinet, wherein the environment information of the charging cabinet comprises environment temperature information, environment humidity information, weather information of the position and power state information of the position;
s2: marking the environmental temperature information as A1, marking the environmental humidity as A2, generating a charging cabinet shutdown instruction when the environmental temperature information A1 is greater than the preset temperature n1 for more than a preset time period, generating a charging cabinet shutdown instruction when the environmental humidity A2 is greater than the preset humidity r1 for more than a preset time period, generating a charging cabinet maintenance instruction when the environmental temperature information A1 is greater than the preset temperature n2 for more than a preset time period, and generating a charging maintenance instruction when the environmental humidity A2 is greater than the preset humidity r2 for more than a preset time period;
s3: extracting weather information of the position, and generating a charging maintenance instruction when rainfall is in the weather information and the estimated rainfall is larger than the preset rainfall, namely after the rainfall is over;
s4: and extracting the power state information of the position, and generating a charging maintenance instruction when the power state information is voltage fluctuation and the fluctuation range is larger than the preset range.
Further, the specific processing procedure of the battery warning information is as follows: and extracting the collected battery information, wherein the battery information comprises battery preset service life information and battery actual use time length information, and generating battery warning information when the difference value between the battery actual use time length information and the battery preset service life information is calculated to be smaller than a preset value.
Further, the specific processing procedure of the distance warning information is as follows: the distance information is extracted, the distance information is the distance between the charging cabinet and the wall surface or other nearest buildings measured by the distance measuring equipment on the charging cabinet, and when the distance information is smaller than the preset distance, the distance warning information is generated.
Compared with the prior art, the invention has the following advantages: this intelligence cabinet management and control system that charges based on data acquisition carries out the information acquisition who refines to selected position before the cabinet installation that charges, carry out position determination after the analysis, guarantee the intelligent cabinet that charges after the installation can the biggest utilization ratio use, and effectively reduce because the state that the vehicle is crowded when the electric is traded that the mounted position is close to the roadside and lead to takes place, after the cabinet that charges is installed simultaneously, its service condition of real-time supervision, and intelligent according to the service condition generates the cabinet increase and decrease information that charges that corresponds, guarantee the rationalization utilization of all installed cabinets that charges, thereby realize intelligent comprehensive management and control that charges the cabinet, let this system be worth more popularization and use.
Drawings
Fig. 1 is a system block diagram of the present invention.
Detailed Description
The following describes in detail the examples of the present invention, which are implemented on the premise of the technical solution of the present invention, and detailed embodiments and specific operation procedures are given, but the scope of protection of the present invention is not limited to the following examples.
As shown in fig. 1, this embodiment provides a technical solution: an intelligent charging cabinet management and control system based on data acquisition comprises a vehicle information acquisition module, an image acquisition module, a battery acquisition module, a position acquisition module, an environment acquisition module, a ranging module, a user information acquisition module, a data receiving module, a data processing module, a master control module and an information sending module;
the system comprises a charging cabinet pre-installed position information acquisition module, an environment acquisition module, a user information acquisition module, a vehicle information acquisition module and a battery acquisition module, wherein the position acquisition module is used for acquiring the charging cabinet pre-installed position information, the environment acquisition module is used for acquiring the environment information of the charging cabinet, the user information acquisition module is used for acquiring the user information of the charging cabinet, the image acquisition module is used for acquiring the image information of the charging cabinet pre-installed position, the vehicle information acquisition module is used for acquiring the traffic vehicle quantity information in the preset distance of the charging cabinet, the distance measurement module is used for performing distance measurement to acquire distance information, and the battery acquisition module is used for acquiring battery information;
the data receiving module is used for receiving the pre-installation position information of the charging cabinet, the environment information of the charging cabinet, the user information of the charging cabinet, the image information of the pre-installation position of the charging cabinet, the battery information, the number information of passing vehicles and the distance information, sending the information to the cloud for storage, and then sending the information to the data processing module;
the data processing module is used for processing the pre-installation position information of the charging cabinet, the environment information of the charging cabinet, the user information of the charging cabinet, the image information of the pre-installation position of the charging cabinet, the battery information, the number information of passing vehicles and the distance information to generate installation determination information, and the installation determination information, the position adjustment information, the charging cabinet management and control information and the battery warning information;
the installation determining information, the position adjusting information, the charging cabinet management and control information and the battery warning information are generated and then the master control module control information sending module sends the information to the preset receiving terminal;
when the intelligent charging cabinet is used in time, the information acquisition is performed on the selected position before the charging cabinet is installed, the position determination is performed after the analysis, the use of the maximum utilization rate of the installed intelligent charging cabinet is ensured, the occurrence of the vehicle congestion state during the power change caused by the fact that the installation position is close to the roadside is effectively reduced, meanwhile, the use state of the charging cabinet is monitored in real time after the charging cabinet is installed, and corresponding charging cabinet increasing and decreasing information is intelligently generated according to the use condition, so that the reasonable utilization of all installed charging cabinets is ensured, and the comprehensive management and control of the charging cabinets are intelligently and comprehensively realized.
The specific processing procedure of the installation determining information and the position adjusting information is as follows:
step one: the collected preassembly position information of the charging cabinet is extracted, the preassembly position information is imported into the Internet, and surrounding environment information of the preassembly position is obtained from a map in the Internet;
step two: acquiring distance information between preassembly positions and roads, surrounding cell information and office building information from surrounding environment information, acquiring cell number, estimated resident number of each cell, office building number and estimated personnel number information of the office building from the Internet after acquiring the cell information and the office building information, marking the cell number as H, marking the estimated resident number of each cell as G, marking the office building number as P, and marking the estimated personnel number information of the office building as F;
step three: g1+g2+g … … +gh=g by the formula g1+g2+g … … +gh=g And obtaining the total estimated resident number G And then through the formula p1+p2+p … … +pf=p And obtaining the estimated number P of persons in the office building And ；
step four: then extracting image information of the preassembled position of the charging cabinet, processing the image information to obtain people flow information, and marking the people flow information as Q;
step five: endowing P with And a correction value Z1 for giving the total estimated resident number G And a correction value Z2, a correction value Z3, Z1+Z2+Z3=1, and Z1 > Z2 > Z3 is given to the pedestrian flow information Q, by the formula P And *Z1+G and * Z2+q×z3=pz, resulting in an installation evaluation parameter Pz;
the number of centralized charging equipment in a cell is more, and the number of centralized charging equipment in office buildings is less, so that Z1 is more than Z2 and more than Z3 in the set weight value;
step six: when the installation evaluation parameter Pz is larger than a preset value, extracting distance information between the preassembly position and the road and marking the distance information as M, generating installation determination information when the M is within a preset value distance range, namely generating position adjustment information when the M is outside the preset value distance range, and directly generating the position adjustment information when the installation evaluation parameter Pz is smaller than the preset value;
through the process, the possible using crowd state of the pre-installation position is evaluated, after information such as the flow of people is known, the information such as the flow of people is evaluated more recently than the distance from the road, so that the situation that vehicles are parked on the roadside to block the road and are far from the road and inconvenient to park is avoided.
The acquiring process of the people flow information in the fourth step is as follows: taking out the image information of the preassembled position of the charging cabinet, cleaning the image information, acquiring the pedestrian passing quantity information in a single day from the image information, marking the pedestrian passing quantity information as U, at least acquiring x times, wherein x is more than or equal to 30, removing the maximum value Umax and the minimum value Umin in the acquired x-times pedestrian passing quantity information U, and then calculating the average pedestrian flow information of the average value of the remaining x-2 pedestrian passing quantity information U, namely the pedestrian flow information in the fourth step;
through the process, more accurate people flow information is obtained, so that the accuracy of determining the installation position of the charging cabinet is ensured.
The charging cabinet adjustment information comprises non-adjustment information, increased equipment information and reduced equipment information, and the specific processing procedure of the charging adjustment information is as follows: extracting the collected user information of the charging cabinet, wherein the user information comprises user quantity information and the number of times information of using the charging cabinet by a single user, marking the user quantity information as K, processing the number of times information of using the charging cabinet by the single user to obtain use parameter information, marking the use parameter as V, collecting the battery quantity information in the installed charging cabinet, marking the battery quantity information as W, obtaining a daily use parameter Kv through a formula Kx V=Kv, continuously collecting m units of use parameters Kv, and calculating the average value of the m units of use parameters Kv to obtain an average use parameter Kv Are all When the average use parameter Kv Are all When the number of the batteries in the charging cabinet is larger than a preset value, generating non-adjustment information, and when the average use parameter Kv Are all When the number of the batteries in the charging cabinet is larger than a preset value and the number of the batteries in the charging cabinet is smaller than the preset value, generating increased equipment information, and when the average use parameter Kv Are all When the number of the batteries in the charging cabinet is smaller than a preset value, reducing equipment information when the number of the batteries in the charging cabinet is larger than the preset value;
through the process, the use state of the installed charging cabinets is known, so that intelligent increase or decrease is performed, and the use efficiency of each charging cabinet is improved.
The specific process of processing the frequency information of the single user using the charging cabinet to obtain the using parameter information is as follows: the number of times the single user uses the charging cabinet is the single day of the single userThe number of times of using the charging cabinet is marked as Y by the formula (y1+y2+y … … +yk)/k=y Are all I.e. obtaining the usage parameter information Y Are all ；
Through the process, more accurate use parameter information can be obtained, so that accurate generation information of the adjustment information of the charging cabinet is ensured.
The charging cabinet management and control information comprises a charging cabinet shutdown instruction and a charging cabinet maintenance instruction, and the specific processing process of the charging cabinet management and control information is as follows:
s1: extracting the collected environment information of the charging cabinet, wherein the environment information of the charging cabinet comprises environment temperature information, environment humidity information, weather information of the position and power state information of the position;
s2: marking the environmental temperature information as A1, marking the environmental humidity as A2, generating a charging cabinet shutdown instruction when the environmental temperature information A1 is greater than the preset temperature n1 for more than a preset time period, generating a charging cabinet shutdown instruction when the environmental humidity A2 is greater than the preset humidity r1 for more than a preset time period, generating a charging cabinet maintenance instruction when the environmental temperature information A1 is greater than the preset temperature n2 for more than a preset time period, and generating a charging maintenance instruction when the environmental humidity A2 is greater than the preset humidity r2 for more than a preset time period;
s3: extracting weather information of the position, and generating a charging maintenance instruction when rainfall is in the weather information and the estimated rainfall is larger than the preset rainfall, namely after the rainfall is over;
s4: extracting power state information of the position, and generating a charging maintenance instruction when the power state information is voltage fluctuation and the fluctuation amplitude is larger than a preset amplitude;
through the process, when the environment is abnormal, warning information can be timely sent out, so that management staff can be promoted to maintain the charging cabinet, and the safe use of the charging cabinet is ensured.
The specific processing process of the battery warning information is as follows: the method comprises the steps of extracting collected battery information, wherein the battery information comprises battery preset service life information and battery actual service life information, and generating battery warning information when the difference value between the battery actual service life information and the battery preset service life information is calculated to be smaller than a preset value;
through the process, when the service life of the battery is long, the warning information can be timely sent to prompt the manager to replace, and the safety of the battery is guaranteed.
The specific processing process of the distance warning information is as follows: extracting the acquired distance information, wherein the distance information is the distance between the charging cabinet and the wall surface or other nearest buildings measured by the distance measuring equipment on the charging cabinet, and when the distance information is smaller than a preset distance, generating distance warning information;
through the process, the distance between the charging cabinet and the wall surface or other nearest buildings can be monitored, and warning information can be timely sent out, so that the situation that the heat dissipation effect of the charging cabinet is influenced due to too close distance between the charging cabinet and the wall surface or other nearest buildings is avoided.
Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In the description of the present invention, the meaning of "plurality" means at least two, for example, two, three, etc., unless specifically defined otherwise.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms are not necessarily directed to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, the different embodiments or examples described in this specification and the features of the different embodiments or examples may be combined and combined by those skilled in the art without contradiction.
While embodiments of the present invention have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the invention, and that variations, modifications, alternatives and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the invention.
Claims (7)
1. The intelligent charging cabinet management and control system based on data acquisition is characterized by comprising a vehicle information acquisition module, an image acquisition module, a battery acquisition module, a position acquisition module, an environment acquisition module, a ranging module, a user information acquisition module, a data receiving module, a data processing module, a master control module and an information sending module;
the system comprises a charging cabinet pre-installed position information acquisition module, an environment acquisition module, a user information acquisition module, a vehicle information acquisition module and a battery acquisition module, wherein the position acquisition module is used for acquiring the charging cabinet pre-installed position information, the environment acquisition module is used for acquiring the environment information of the charging cabinet, the user information acquisition module is used for acquiring the user information of the charging cabinet, the image acquisition module is used for acquiring the image information of the charging cabinet pre-installed position, the vehicle information acquisition module is used for acquiring the traffic vehicle quantity information in the preset distance of the charging cabinet, the distance measurement module is used for performing distance measurement to acquire distance information, and the battery acquisition module is used for acquiring battery information;
the data receiving module is used for receiving the pre-installation position information of the charging cabinet, the environment information of the charging cabinet, the user information of the charging cabinet, the image information of the pre-installation position of the charging cabinet, the battery information, the number information of passing vehicles and the distance information, sending the information to the cloud for storage, and then sending the information to the data processing module;
the data processing module is used for processing the pre-installation position information of the charging cabinet, the environment information of the charging cabinet, the user information of the charging cabinet, the image information of the pre-installation position of the charging cabinet, the battery information, the number information of passing vehicles and the distance information to generate installation determination information, and the installation determination information, the position adjustment information, the charging cabinet management and control information, the battery warning information and the distance warning information;
the master control module controls the information sending module to send the information to the preset receiving terminal after the installation determining information, the position adjusting information, the charging cabinet management and control information, the battery warning information and the distance warning information are generated;
the specific processing procedure of the installation determining information and the position adjusting information is as follows:
step one: the collected preassembly position information of the charging cabinet is extracted, the preassembly position information is imported into the Internet, and surrounding environment information of the preassembly position is obtained from a map in the Internet;
step two: acquiring distance information between preassembly positions and roads, surrounding cell information and office building information from surrounding environment information, acquiring cell number, estimated resident number of each cell, office building number and estimated personnel number information of the office building from the Internet after acquiring the cell information and the office building information, marking the cell number as H, marking the estimated resident number of each cell as G, marking the office building number as P, and marking the estimated personnel number information of the office building as F;
step three: g1+g2+g … … +gh=g by the formula g1+g2+g … … +gh=g And obtaining the total estimated resident number G And then through the formula p1+p2+p … … +pf=p And obtaining the estimated number P of persons in the office building And ；
step four: then extracting image information of the preassembled position of the charging cabinet, processing the image information to obtain people flow information, and marking the people flow information as Q;
step five: endowing P with And a correction value Z1 for giving the total estimated resident number G And a correction value Z2, a correction value Z3, Z1+Z2+Z3=1, and Z1 > Z2 > Z3 is given to the pedestrian flow information Q, by the formula P And *Z1+G and * Z2+q×z3=pz, resulting in an installation evaluation parameter Pz;
step six: when the installation evaluation parameter Pz is larger than a preset value, extracting distance information between the preassembly position and the road and marking the distance information as M, generating installation determination information when the M is within a preset value distance range, namely generating position adjustment information when the M is outside the preset value distance range, and directly generating the position adjustment information when the installation evaluation parameter Pz is smaller than the preset value.
2. The intelligent charging cabinet management and control system based on data acquisition of claim 1, wherein: the acquiring process of the people flow information in the fourth step is as follows: taking out the image information of the preassembled position of the charging cabinet, cleaning the image information, acquiring the pedestrian passing quantity information in a single day from the image information, marking the pedestrian passing quantity information as U, collecting at least x times, wherein x is more than or equal to 30, removing the maximum value Umax and the minimum value Umin in the collected x-times pedestrian passing quantity information U, and then calculating the average pedestrian flow information of the average value of the remaining x-2 pedestrian passing quantity information U, namely the pedestrian flow information in the fourth step.
3. The intelligent charging cabinet management and control system based on data acquisition of claim 1, wherein: the charging cabinet adjustment information comprises non-adjustment information, increased equipment information and reduced equipment information, and the specific processing procedure of the charging cabinet adjustment information is as follows: extracting the collected user information of the charging cabinet, wherein the user information comprises user quantity information and the number of times information of using the charging cabinet by a single user, marking the user quantity information as K, processing the number of times information of using the charging cabinet by the single user to obtain use parameter information, marking the use parameter as V, collecting the battery quantity information in the installed charging cabinet, marking the battery quantity information as W, obtaining a daily use parameter Kv through a formula Kx V=Kv, continuously collecting m units of use parameters Kv, and calculating the average value of the m units of use parameters Kv to obtain an average use parameter Kv Are all When the average use parameter Kv Are all When the number of the batteries in the charging cabinet is larger than a preset value, generating non-adjustment information, and when the average use parameter Kv Are all When the number of the batteries in the charging cabinet is larger than a preset value and the number of the batteries in the charging cabinet is smaller than the preset value, generating increased equipment information, and when the average use parameter Kv Are all And when the number of the batteries in the charging cabinet is smaller than the preset value, the equipment information is reduced when the number of the batteries in the charging cabinet is larger than the preset value.
4. The intelligent charging cabinet management and control system based on data acquisition as claimed in claim 3, wherein: the specific process of processing the frequency information of the single user using the charging cabinet to obtain the using parameter information is as follows: the number of times information of using the charging cabinet by the single user is marked as Y by the formula (y1+y2+y … … +yk)/k=y for the number of times information of using the charging cabinet by the single user for a single day Are all I.e. obtaining the usage parameter information Y Are all 。
5. The intelligent charging cabinet management and control system based on data acquisition of claim 1, wherein: the charging cabinet management and control information comprises a charging cabinet shutdown instruction and a charging cabinet maintenance instruction, and the specific processing process of the charging cabinet management and control information is as follows:
s1: extracting the collected environment information of the charging cabinet, wherein the environment information of the charging cabinet comprises environment temperature information, environment humidity information, weather information of the position and power state information of the position;
s2: marking the environmental temperature information as A1, marking the environmental humidity as A2, generating a charging cabinet shutdown instruction when the environmental temperature information A1 is greater than the preset temperature n1 for more than a preset time period, generating a charging cabinet shutdown instruction when the environmental humidity A2 is greater than the preset humidity r1 for more than a preset time period, generating a charging cabinet maintenance instruction when the environmental temperature information A1 is greater than the preset temperature n2 for more than a preset time period, and generating a charging maintenance instruction when the environmental humidity A2 is greater than the preset humidity r2 for more than a preset time period;
s3: extracting weather information of the position, and generating a charging maintenance instruction when rainfall is in the weather information and the estimated rainfall is larger than the preset rainfall, namely after the rainfall is over;
s4: and extracting the power state information of the position, and generating a charging maintenance instruction when the power state information is voltage fluctuation and the fluctuation range is larger than the preset range.
6. The intelligent charging cabinet management and control system based on data acquisition of claim 1, wherein: the specific processing process of the battery warning information is as follows: and extracting the collected battery information, wherein the battery information comprises battery preset service life information and battery actual use time length information, and generating battery warning information when the difference value between the battery actual use time length information and the battery preset service life information is calculated to be smaller than a preset value.
7. The intelligent charging cabinet management and control system based on data acquisition of claim 1, wherein: the specific processing process of the distance warning information is as follows: the distance information is extracted, the distance information is the distance between the charging cabinet and the wall surface or other nearest buildings measured by the distance measuring equipment on the charging cabinet, and when the distance information is smaller than the preset distance, the distance warning information is generated.
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