CN120014875A - A parking lot remote calling method and system supporting multi-terminal interaction - Google Patents

Abstract

The invention discloses a parking lot remote calling method and a parking lot remote calling system supporting multi-terminal interaction, and relates to the technical field of traffic control. And adopting a compatible compression mode and a dual-thread interaction mode to perform architecture deployment based on traffic parking management requirements. And executing network access processing on the call information of the multi-domain parking end, generating traffic flow data, and performing self-adaptive compression conversion and double-thread decoupling transmission. And after receiving the information, the call center platform performs coupling verification and transfers the information to a queuing port for call acceptance and certification. Thereby achieving the technical effects of centralized management and efficient transmission of the call data of the parking lot and improving the operation efficiency and the service quality of the parking lot.

Description

Parking lot remote calling method and system supporting multi-terminal interaction

Technical Field

The invention relates to the technical field of traffic control, in particular to a parking lot remote calling method and system supporting multi-terminal interaction.

Background

Conventional parking lot call systems typically rely on local equipment and manual management to enable cross-regional, multi-terminal interactions. The call data of each parking lot is stored independently, and is difficult to perform centralized management and analysis. In addition, the traditional calling system has low utilization rate of network bandwidth in the data transmission process, low data transmission efficiency and easy occurrence of data loss or error. Such a decentralized management mode is not only inefficient, but also difficult to meet the ever-increasing convenient parking demands of vehicle owners.

Disclosure of Invention

The invention provides a parking lot remote call method and a parking lot remote call system supporting multi-terminal interaction, which are used for solving the technical problems of island management, poor call accuracy and low operation efficiency in the prior art, realizing centralized management and efficient transmission of parking lot call data, and improving the operation efficiency and service quality of a parking lot.

In a first aspect, the present invention provides a parking lot remote call method supporting multi-terminal interaction, where the parking lot remote call method supporting multi-terminal interaction includes:

And establishing interactive butt joint between the call center platform and the multi-domain parking end through an API interface protocol, and constructing a parking call framework.

And introducing a compatible compression mode and a double-thread interaction mode, and deploying the parking call architecture based on traffic parking management guidance.

And according to the parking call architecture after mode deployment, accessing the call information initiated by the multi-domain parking end to generate traffic flow data, executing self-adaptive compression conversion and double-line Cheng Jieou transmission, performing receiving and coupling verification on the call center platform, transferring to a queuing port for call acceptance, and performing parking call certification.

The method comprises the steps of determining a compression ratio by using a real-time network bandwidth to carry out quantization coding compression, carrying out double-thread conversion transmission by using a logic layer and a data layer of call service, and taking a double-thread coupling state as a verification target.

In one possible implementation, introducing compatible compression modes includes:

traversing the multi-domain parking end, performing multi-end compatibility analysis, and determining compatible interaction characteristics, wherein the compatibility interaction characteristics comprise hardware compatibility and software compatibility.

And determining a compatible compression mode according to the compatible interaction characteristics, wherein the bandwidth self-adaptive compression ratio under the compatible interaction characteristics is used as the compatible compression mode.

And constructing an adaptive compression module according to the compatible compression mode.

In one possible implementation, a dual-threaded interaction mode is introduced to deploy a traffic-parking-management-oriented parking call architecture, comprising:

and decoupling the call service from the logic layer and the data layer, carrying out double-thread transmission configuration, and constructing a double-thread management module by taking decoupling interaction and coupling verification as principles.

And deploying the self-adaptive compression module and the double-thread management module on each architecture port of the parking call architecture.

In one possible implementation, performing adaptive compression conversion includes:

And acquiring the real-time network bandwidth, and determining the concurrent call quantity, wherein the concurrent limitation is carried out by the same-domain parking end.

And according to the real-time network bandwidth and the concurrent call quantity, assisting the self-adaptive compression module to determine an information compression ratio.

And carrying out information quantization and fixed-length coding on the traffic flow data according to the information compression ratio to determine traffic flow compression data.

In one possible implementation, performing a dual-threaded decoupled transmission includes:

And aiming at the traffic flow compressed data, assisting the dual-thread management module to execute decoupling and concurrent transmission based on a logic layer and a data layer, and receiving and performing compression coupling by the call center platform.

And executing the verification after compression coupling, and determining a verification result.

In one possible implementation, if the verification is successful, decompression processing is performed and transferred to the queuing port for call acceptance.

If the verification fails, temporary storage and active verification are executed.

In one possible implementation, after call acceptance, the method includes:

responsive traffic flow data is generated.

And acquiring network bandwidth and concurrency in real time, performing bandwidth self-adaptive compression and double-thread decoupling transmission on the response traffic flow data, and executing coupling pre-verification.

If the verification is successful, displaying the verification on the terminal equipment of the calling terminal.

If the verification fails, the storage and the active verification are executed.

In one possible implementation, the active verification includes:

and positioning the uncoupled content, and generating a verification target.

And generating a checking instruction by taking the checking target as a guide.

And executing secondary verification management based on the verification instruction.

In one possible implementation, after parking call authentication, the method includes:

and obtaining a traffic management record of the parking end, and carrying out parking call evidence storage.

And setting a preset period, executing the parking side heavy mining based on the traffic management record, and determining the traffic guiding characteristics of the multi-domain parking end.

And carrying out parking guidance management according to the traffic guidance characteristics.

In a second aspect, the present invention also provides a parking lot remote call system supporting multi-terminal interaction, where the parking lot remote call system supporting multi-terminal interaction includes:

and the call connection module is used for establishing interactive butt joint between the call center platform and the multi-domain parking end through an API interface protocol to construct a parking call framework.

And the call deployment module is used for introducing a compatible compression mode and a double-thread interaction mode to deploy the parking call architecture based on traffic parking management guidance.

And the call center platform performs receiving and coupling verification, transfers to a queuing port for call acceptance, and performs parking call storage according to the parking call architecture deployed by the mode, wherein the parking call architecture is used for networking the call information initiated by the multi-domain parking terminal, generating traffic flow data, performing self-adaptive compression conversion and double-line Cheng Jieou transmission.

The method comprises the steps of determining a compression ratio by using a real-time network bandwidth to carry out quantization coding compression, carrying out double-thread conversion transmission by using a logic layer and a data layer of call service, and taking a double-thread coupling state as a verification target.

The invention discloses a parking lot remote calling method and a parking lot remote calling system supporting multi-terminal interaction, comprising the steps of establishing interactive docking between a calling central platform and a multi-domain parking end based on an API interface protocol, constructing a parking calling architecture, introducing a compatible compression mode and a dual-thread interaction mode, and realizing architecture deployment oriented to traffic parking management and guidance; under the framework, call information initiated by a multi-domain parking end is subjected to network access processing to generate traffic flow data, the traffic flow data is sent to a call center platform through self-adaptive compression conversion and double-thread decoupling, the platform finishes receiving and coupling verification, and the call information is transferred to a queuing port for acceptance and storage, wherein compression ratio is dynamically adjusted according to real-time network bandwidth to carry out quantitative coding compression, a logic layer and a data layer of a call service are combined to carry out double-thread conversion transmission, and a double-thread coupling state is used as a verification target to ensure efficient and stable parking call service.

Drawings

FIG. 1 is a flow chart of a parking lot remote call method supporting multi-terminal interaction according to the present invention;

fig. 2 is a schematic structural diagram of a parking lot remote call system supporting multi-terminal interaction according to the present invention.

Reference numerals illustrate the call connection module 11, the call deployment module 12, and the call processing module 13.

Detailed Description

The foregoing aspects will be better understood by reference to the following detailed description of the invention taken in conjunction with the accompanying drawings and detailed description. It should be apparent that the described embodiments are only some embodiments of the present invention and not all embodiments of the present invention, and it should be understood that the present invention is not limited by the exemplary embodiments used only to explain the present invention. 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 fall within the scope of the invention. It should be noted that, for convenience of description, only some, but not all of the drawings related to the present invention are shown.

In a first embodiment, fig. 1 is a schematic flow chart of a parking lot remote call method supporting multi-terminal interaction according to the present invention, wherein the parking lot remote call method supporting multi-terminal interaction includes:

And S100, establishing interactive butt joint between a call center platform and a multi-domain parking end through an API interface protocol, and constructing a parking call framework.

Specifically, the API interface protocol, i.e. the application program interface protocol, is a set of predefined functions, classes, data structures, etc. for specifying interactions between different software systems, where the steps implement data communication and interactive docking between the call center platform and the multi-domain parking end through the API interface protocol.

Specifically, the call center platform is a core management part of the whole parking lot remote call system and is responsible for receiving, processing and managing call information from each multi-domain parking end and performing corresponding scheduling and responding, wherein the call center platform can be an edge computing node deployed in the ground or a remote computing node based on cloud computing.

Specifically, the multi-domain parking end refers to parking terminal equipment distributed in different areas or different parking lots, and can initiate a call request and interact with a call center platform through the multi-domain parking end so as to realize a remote call function of the parking lots. Illustratively, the multi-domain parking end comprises fixed physical terminal equipment arranged in a parking lot or online terminal equipment based on web pages, APP, applets and the like.

Specifically, through an API interface protocol, a stable and efficient data connection and communication channel is established between the call center platform and the multi-domain parking end, so that a basic framework (parking call framework) of the parking lot remote call system is formed, and functions and correlations of all modules in the system are clear. For example, in a parking lot remote call system in a city range, a call center platform is located at a management headquarter of a city center, and multi-domain parking ends are distributed in different parking lots, and through an API interface protocol, the call center platform can be in butt joint with parking end devices of the parking lots, so that centralized management and scheduling of parking lot call information are realized.

By adopting an API interface protocol to establish interactive butt joint between a call center platform and a multi-domain parking end and constructing a parking call architecture, centralized management of parking lot call data can be realized, the problems of scattered storage and difficulty in centralized analysis and management of the parking lot data in the traditional parking lot call system are avoided, and the efficiency and the accuracy of data management are improved.

And S200, introducing a compatible compression mode and a dual-thread interaction mode, and deploying the parking call architecture based on traffic parking management guidance.

Specifically, the compatible compression mode is a data compression mode which can adapt to different terminal equipment and network environments and is used for carrying out quantization coding compression on data on the premise of ensuring the accuracy and the integrity of the data under different compatibility conditions so as to reduce the data transmission quantity.

Specifically, the dual thread interaction mode is used for decoupling a logic layer and a data layer of a call service so as to respectively transmit and process in two threads. The logic layer is responsible for controlling and managing the business flow, and the data layer is responsible for transmitting and storing the actual data. Through the double-thread interaction mode, the efficiency and the stability of data transmission can be improved, and meanwhile, the expansion and the maintenance of a system are facilitated.

In some embodiments, introducing compatible compression modes includes:

Traversing a multi-domain parking end, performing multi-terminal compatibility analysis, determining compatible interaction characteristics including hardware compatibility and software compatibility, determining a compatible compression mode according to the compatible interaction characteristics, taking a bandwidth self-adaptive compression ratio under the compatible interaction characteristics as the compatible compression mode, and constructing a self-adaptive compression module according to the compatible compression mode.

Specifically, first, for different parking terminals (multiple ends), traversal analysis is performed to identify main compatibility factors of different hardware and software environments, wherein the hardware compatibility factors include computing power, storage resources, communication protocols and the like of the different parking terminals. And further, extracting compatible interaction characteristics, wherein the characteristics are characterized by comprising the following steps of:

table 1 exemplary compatible interaction characteristics

And then, combining the determined compatible interaction characteristics, and adaptively adjusting the data compression ratio according to the network bandwidth conditions of different parking terminals so as to ensure that the data transmission is efficient and reliable under different network environments. For example, a low compression ratio (retaining more data details) is used when the compatible interaction feature is high bandwidth + high computational power, and a high compression ratio (reducing data volume) is used when the compatible interaction feature is low bandwidth + low computational power.

Exemplary, mode a is a low bandwidth terminal, applicable scenarios are mobile network, low power device, compression algorithm Zstd +h.265, compression ratio 80%. Mode B is a standard bandwidth terminal, applicable scenes are Wi-Fi6 and a wired network, a compression algorithm is LZ4+H.265, and a compression ratio is 50%. The mode C is a high-performance terminal, and is applicable to a vehicle-mounted platform, a cloud computing platform, a compression algorithm Gzip+AV1 and a compression ratio of 30%.

Further, an adaptive compression module is constructed according to a formulated compatible compression mode, compression processing is carried out on traffic flow data, the adaptive compression module monitors the capacity of network bandwidth and parking end compatibility characteristics in real time, and compression algorithms and parameters are automatically matched and adjusted according to the information, for example, the compression ratio is improved when the bandwidth is reduced, the data volume is reduced, the compression ratio is reduced when the bandwidth resource is sufficient, and the data integrity is ensured.

In some embodiments, a dual-threaded interaction mode is introduced to deploy a transit-based parking management guide for the parking call architecture, comprising:

Decoupling call service from a logic layer and a data layer, carrying out dual-thread transmission configuration, constructing a dual-thread management module by taking decoupling interaction and coupling verification as principles, and disposing the self-adaptive compression module and the dual-thread management module at each architecture port of the parking call architecture.

Specifically, in order to optimize interaction efficiency of parking call service, improve data processing capability, ensure stability of call service, introduce a dual-thread interaction mode, deploy parking call architecture based on traffic parking management guidance, and combine with an adaptive compression module to perform efficient data transmission.

Specifically, the dual-thread interaction mode adopts a mode of decoupling a logic layer and a data layer, so that independent parallel processing is realized, the throughput capacity of the system is improved, and the data interaction delay is reduced. The logic layer processes parking call service logic, including user request analysis, service scheduling, authority management and the like, and the data layer is responsible for parking space data storage, vehicle state management, real-time data stream processing and the like.

Specifically, the coupling check is a verification process for ensuring the consistency of a logic layer and a data layer through a data synchronization mechanism, so that cross-layer data integrity check is realized, and the business process is ensured not to be abnormal due to asynchronous processing of the data layer. Through decoupling interaction and coupling verification, efficient management of call services and reliable transmission of data can be achieved.

The coupling check includes, for example, a pre-check that the logic layer verifies whether the data meets business logic requirements before invoking the data layer (e.g., after the user submits a parking request, the logic layer checks first whether the data layer, the parking space, is available, whether the vehicle is registered in the system, whether the user account status is normal). And (3) performing verification, namely ensuring data consistency and preventing concurrent modification conflict (such as adopting a pessimistic lock or optimistic lock mechanism, namely locking the data before updating the parking space state, ensuring that other threads cannot modify the data at the same time, using a version number or a timestamp, checking whether the data is modified by other threads when submitting the update, and rolling back and retrying if the data is in conflict) during the operation of the data layer. And after the logic layer executes the task, checking the updating result of the data layer to ensure that the state change is correct (e.g. after the vehicle leaves the ground, checking the cost calculation result by the logic layer, namely, whether the calculated parking cost is matched with the entering time, whether the cost record is correctly stored in the database, and if the payment is successful, whether the balance of the user account is correctly updated).

Furthermore, the self-adaptive compression module and the dual-thread management module are deployed at each architecture port of the parking call architecture, so that efficient dual-thread interaction and data compression processing can be realized in the whole system.

And S300, accessing the call information initiated by the multi-domain parking end to the network according to the parking call architecture after the mode deployment, generating traffic flow data, executing self-adaptive compression conversion and double-line Cheng Jieou transmission, performing receiving and coupling verification by the call center platform, transferring to a queuing port for call acceptance, and performing parking call storage.

The method comprises the steps of determining a compression ratio by using a real-time network bandwidth to carry out quantization coding compression, carrying out double-thread conversion transmission by using a logic layer and a data layer of call service, and taking a double-thread coupling state as a verification target.

Specifically, when a multi-domain parking end initiates call information, firstly, call data are analyzed, key fields such as parking space state, vehicle information, time stamp, user information and the like are extracted, the analyzed data are converted into traffic flow data in a unified format through a network access module, flow control information is added to adapt to different network environments, then, the optimal quantized coding compression ratio is determined by monitoring dynamic changes of network bandwidths, and data optimization is performed by adopting an adaptive compression algorithm (such as Huffman coding, deep learning compression and incremental data compression) to ensure that the data can still be used in a low-bandwidth environment.

Further, the double-line Cheng Jieou sends the data layer by separating the logic layer from the data layer, respectively processes tasks such as business rule, user authority, parking space allocation and the like, and performs operations such as data storage, state updating, charging record and the like. For example, during peak hours, when a plurality of car owners initiate calls at the same time, the logic layer thread can rapidly process queuing and scheduling of the calls, and the data layer thread can efficiently transmit and process corresponding data, so that call delay or data loss caused by thread blocking is avoided. Meanwhile, the double-thread coupling state is used as a verification target, so that the interaction result between the logic layer and the data layer is accurate in the data transmission and processing process, and the integrity and reliability of data are improved.

Further, the data passing through the verification is transferred to a queuing port for call acceptance, wherein the queuing port is used for queuing and managing the accepted call, that is, the processing sequence of the call is arranged according to a certain rule (such as first come first serve, priority, etc.), so that the call can be orderly responded and processed.

And synchronously, recording and storing the whole process of the parking lot call, including the information of the call initiating time, the content, the processing result and the like. The obtained evidence-based data can be used for subsequent inquiry, statistical analysis and evidence when disputes occur.

In some embodiments, performing adaptive compression conversion includes:

The traffic flow compression method comprises the steps of collecting real-time network bandwidth, determining concurrent call quantity, wherein concurrent limiting is carried out by a same-domain parking end, assisting the self-adaptive compression module to determine an information compression ratio according to the real-time network bandwidth and the concurrent call quantity, and carrying out information quantization and fixed-length coding on traffic flow data according to the information compression ratio to determine traffic flow compression data.

Optionally, firstly, current network bandwidth data is collected in real time through a bandwidth monitoring module (such as TCP flow analysis and network QoS monitoring), key parameters such as bandwidth availability, network load rate, packet loss rate, delay jitter and the like are counted, and meanwhile, the call concurrency quantity of the current same-domain parking end is counted.

Optionally, the auxiliary self-adaptive compression module determines the information compression ratio according to the real-time network bandwidth and the concurrent call volume, and comprises triggering a batch processing mechanism when the concurrent peak value is exceeded, adopting a low compression ratio to ensure the data quality under the condition of low concurrency, and timely adjusting the information compression ratio according to a preset self-adaptive adjustment strategy.

Exemplary information quantification includes classifying the importance of parking call information (e.g., license plate, timestamp, parking space ID), determining critical data (high priority, e.g., license plate number, parking space ID, time of call) and secondary data (low priority, e.g., history, auxiliary description information), and then employing high-precision storage (e.g., floating point number) for the high-priority data and low-precision or discard strategy for the low-priority data.

The fixed-length coding comprises the steps of adopting methods such as Huffman coding, LZW compression, dictionary mapping and the like, combining with preset coding rules, converting information flow into corresponding traffic flow compressed data, reducing data redundancy while ensuring that core service information is not lost, improving transmission efficiency, and ensuring stable transmission and efficient processing of parking call data.

In some embodiments, performing a dual-thread decoupled transmission includes:

and aiming at the traffic flow compressed data, assisting the dual-thread management module to execute decoupling and concurrent transmission based on a logic layer and a data layer, receiving and performing compression coupling by the call center platform, executing the verification after the compression coupling, and determining a verification result.

The dual-thread management module divides traffic flow compressed data into a logic layer and a data layer, wherein the logic layer contains control information of call service, such as call initiation time, priority, processing flow and the like, and the data layer contains specific traffic flow data, such as vehicle quantity, parking space occupation condition and the like, so that concurrent processing is realized, and transmission efficiency is improved.

Specifically, after receiving the two parts of data, the call center platform performs compression coupling, recombines the control information of the logic layer and the actual data of the data layer to recover the complete call information, performs the verification after the compression coupling, and determines the verification result. The verification process includes, among other things, checking the integrity of the data, whether the order is correct, whether the association of the logical layer with the data layer is accurate, etc., such as by calculating a checksum of the data or verifying the data using a hash algorithm.

In some embodiments, if the verification is successful, decompression processing is performed and transferred to the queuing port for call acceptance, and if the verification is failed, temporary storage and active verification are performed.

Specifically, if the verification result shows that the data is complete and accurate, namely, the verification is successful, the successful transmission can be indicated, and the subsequent processing flow can be continued, and if the verification result shows that the data has a lost, wrong or inconsistent state, the data can be considered to be possibly interfered, damaged or tampered in the transmission process, the data cannot be directly used for the subsequent processing, and corresponding remedial measures are needed to be taken.

Optionally, if the verification fails, the data with failed verification is temporarily stored for subsequent inspection, repair or further verification, and then active verification is initiated on the temporarily stored data, including, for example, re-acquiring the data, re-transmitting the data, comparing the redundant data, etc., to recover the integrity and accuracy of the data as much as possible or to confirm whether the data can be used further.

After the verification is successful, decompression processing is executed and transferred to the queuing port for call acceptance, so that the call data can be timely and accurately processed, and the response speed and the service quality of the parking lot remote call system are improved. And when the verification fails, temporary storage and active verification are executed, so that the negative influence of error data on system operation and call processing can be effectively prevented, and the stability and reliability of the system are enhanced.

In some implementations, after call admission, the method includes:

Generating response traffic flow data, collecting network bandwidth and concurrency in real time, performing bandwidth self-adaptive compression and double-thread decoupling transmission on the response traffic flow data, executing coupling pre-verification, displaying on terminal equipment of a calling terminal if verification is successful, and executing storage and active verification if verification fails.

The method comprises the steps of generating response traffic flow data after call acceptance, wherein the response traffic flow data is generated according to a call processing result and related traffic information and is used for being fed back to a vehicle owner to inform the vehicle owner of call processing conditions, the current state of a parking lot and the like, acquiring the current network bandwidth condition through a network monitoring tool, counting the number of concurrent calls currently being conducted simultaneously, carrying out bandwidth self-adaptive compression and double-line Cheng Jieou sending on the response traffic flow data based on the same method principle of processing the traffic flow data, carrying out coupling pre-verification, and then selecting terminal equipment to be executed at a calling end to be visually displayed or to execute storage and active verification according to a verification result.

Specifically, if the verification is successful, the terminal device of the calling terminal displays the response traffic flow data after the processing, and displays the response traffic flow data to the vehicle owner in a proper mode, for example, the call processing result, the parking space information of the parking lot and the like are displayed on a mobile phone application interface. If the verification fails, the storage and active verification is performed, the data is temporarily stored, and the verification process is actively initiated to attempt to recover the integrity and accuracy of the data in various ways, such as re-acquiring the data, re-transmitting the data, comparing redundant data, etc.

After the call is accepted, a series of operations such as generating response traffic flow data, collecting network bandwidth and concurrency in real time, performing bandwidth self-adaptive compression and double-thread decoupling transmission on the response traffic flow data, performing coupling pre-verification and the like can be realized, so that the efficient transmission and the reliable processing of the call response data of the parking lot can be realized.

In some implementations, the active verification includes:

Positioning uncoupled content, generating a verification target, generating a verification instruction by taking the verification target as a guide, and executing secondary verification management based on the verification instruction.

Specifically, in the active verification process, firstly, the uncoupled content is positioned, namely, a data part with a problem in the data transmission or processing process is found, and then a verification standard which is required to be met by the uncoupled content is determined according to the expectation and the requirement of the system, so that a verification target is generated. And then, generating corresponding checking instructions according to the determined checking targets to instruct how to further verify and process the uncoupled content. Illustratively, the check instruction includes operations to recalculate a particular data segment, compare redundant data, require a data source to resend, and the like.

Further, performing secondary verification management based on the verification instruction, and performing secondary verification on the uncoupled content according to the generated verification instruction, for example, if the primary verification finds that the data is lost in a parking lot remote call system, the parking end may be required to resend the lost data portion, and if the data has errors, the errors may be corrected by comparing the redundant data.

In some embodiments, after conducting the park call deposit, comprising:

The method comprises the steps of obtaining traffic management records of a parking end, carrying out parking call evidence storage, setting a preset period, executing parking side heavy mining based on the traffic management records, determining traffic guiding characteristics of the multi-domain parking end, and carrying out parking guiding management according to the traffic guiding characteristics.

Specifically, the traffic management record is generated by the parking end, and comprises records of information such as vehicle in-and-out time, parking space occupation condition, traffic flow and the like in the parking lot, and reflects traffic conditions and management conditions of the parking lot.

Specifically, the heavy-direction mining of parking refers to deep mining and analysis of traffic management records to find rules, trends and characteristics of traffic in a parking lot, understand information such as use conditions of the parking lot and parking habits of vehicle owners, provide support for optimizing parking lot management, for example, can determine peak and valley periods of the parking lot by analyzing vehicle in-out time, and can know use efficiency and turnover rate of the parking lot by analyzing parking space occupation conditions. Wherein the parking emphasis is based on a preset period, which is a fixed period of time, such as daily, weekly or monthly.

Further, according to the determined traffic guiding characteristics, the management strategy is adjusted and the resource allocation is optimized so as to improve the operation efficiency and the service quality of the parking lot. For example, according to traffic guidance characteristics, guidance personnel can be added or traffic signs can be adjusted in peak hours, parking space allocation can be optimized to improve turnover rate, or personalized parking guidance services can be provided for frequent guests.

In summary, the parking lot remote call method supporting multi-terminal interaction provided by the invention has the following technical effects:

The method comprises the steps of establishing interactive butt joint between a call center platform and a multi-domain parking end based on an API interface protocol, constructing a parking call framework, introducing a compatible compression mode and a dual-thread interaction mode, realizing framework deployment oriented to traffic parking management and guiding, under the framework, performing network access processing on call information initiated by the multi-domain parking end, generating traffic flow data, transmitting the traffic flow data to the call center platform through self-adaptive compression conversion and dual-thread decoupling, completing receiving and coupling verification by the platform, transferring the call information to a queuing port for acceptance and storage, wherein compression ratio is dynamically adjusted according to real-time network bandwidth to conduct quantized coding compression, and a logic layer and a data layer of a call service are combined to conduct dual-thread conversion transmission, and a dual-thread coupling state is used as a verification target, so that efficient and stable parking call service is ensured, and therefore centralized management and efficient transmission of parking lot call data are realized, and meanwhile, the operation efficiency and service quality of a parking lot are improved.

In a second embodiment, fig. 2 is a schematic structural diagram of a parking lot remote call system supporting multi-terminal interaction according to the present invention. For example, a flow chart of a parking lot remote call method supporting multi-terminal interaction according to the present invention in fig. 1 may be implemented by the structure shown in fig. 2.

Based on the same concept as the parking lot remote call method supporting multi-terminal interaction in the embodiment, the invention also provides a parking lot remote call system supporting multi-terminal interaction, which comprises:

the call connection module 11 is configured to establish interactive docking between the call center platform and the multi-domain parking end through an API interface protocol, and construct a parking call architecture.

A call deployment module 12 for introducing a compatible compressed mode and a dual-threaded interaction mode for deploying the parking call architecture based on the traffic parking management guidance.

And the call processing module 13 is used for accessing the call information initiated by the multi-domain parking end to the network according to the parking call architecture after the mode deployment, generating traffic flow data, executing self-adaptive compression conversion and double-line Cheng Jieou transmission, performing receiving and coupling verification on the call center platform, transferring to a queuing port for call acceptance, and performing parking call storage. The method comprises the steps of determining a compression ratio by using a real-time network bandwidth to carry out quantization coding compression, carrying out double-thread conversion transmission by using a logic layer and a data layer of call service, and taking a double-thread coupling state as a verification target.

In some embodiments, the call deployment module 12 includes:

the multi-domain parking end compatibility analysis unit is used for traversing the multi-domain parking end, carrying out multi-terminal compatibility analysis and determining compatible interaction characteristics, wherein the compatibility analysis unit comprises hardware compatibility and software compatibility.

And the compatible compression mode determining unit is used for determining a compatible compression mode according to the compatible interaction characteristic, wherein the bandwidth self-adaptive compression ratio under the compatible interaction characteristic is used as the compatible compression mode.

And the adaptive compression module construction unit is used for constructing the adaptive compression module according to the compatible compression mode.

In some embodiments, the call deployment module 12 further comprises:

the double-thread management module construction unit is used for decoupling call services from the logic layer and the data layer, carrying out double-thread transmission configuration, and constructing the double-thread management module by taking decoupling interaction and coupling verification as principles.

The module deployment unit is used for deploying the self-adaptive compression module and the double-thread management module on each architecture port of the parking call architecture.

In some embodiments, the call processing module 13 includes:

The network bandwidth and call volume acquisition unit is used for acquiring the real-time network bandwidth and determining the concurrent call volume, wherein the concurrent limiting is carried out by the same-domain parking end.

And the information compression ratio determining unit is used for assisting the self-adaptive compression module to determine the information compression ratio according to the real-time network bandwidth and the concurrent call quantity.

And the traffic flow data compression unit is used for carrying out information quantization and fixed-length coding on the traffic flow data according to the information compression ratio to determine traffic flow compression data.

In some embodiments, the call processing module 13 further comprises:

And the decoupling and concurrent transmission execution unit is used for compressing data for the traffic flow, assisting the dual-thread management module to execute decoupling and concurrent transmission based on a logic layer and a data layer, and receiving and compressing and coupling the call center platform.

And the verification result determining unit is used for executing the verification after compression coupling and determining the verification result.

In some embodiments, the system further comprises a check response module for performing decompression processing and transferring to the queuing port for call acceptance if the check is successful. If the verification fails, temporary storage and active verification are executed.

In some embodiments, the call processing module 13 further comprises:

and the response traffic flow data generating unit is used for generating response traffic flow data.

And the bandwidth self-adaptive compression and double-thread decoupling transmitting unit is used for acquiring network bandwidth and concurrency in real time, performing bandwidth self-adaptive compression and double-thread decoupling transmitting on the response traffic flow data, and executing coupling pre-verification.

And the verification success display unit is used for displaying on the terminal equipment of the calling terminal if the verification is successful.

And the verification failure processing unit is used for executing storage and active verification if verification fails.

In some implementations, the step of executing the verification failure handling unit in the call handling module 13 includes locating uncoupled content and generating a verification target. And generating a checking instruction by taking the checking target as a guide. And executing secondary verification management based on the verification instruction.

In some embodiments, the call processing module 13 further comprises:

And the verification target generation unit is used for positioning the uncoupled content and generating a verification target.

And the verification instruction generating unit is used for generating a verification instruction by taking the verification target as a guide.

And the secondary verification management execution unit is used for executing secondary verification management based on the verification instruction.

It should be understood that the embodiments mentioned in this specification focus on differences from other embodiments, and the specific embodiment in the first embodiment is equally applicable to a parking lot remote call system supporting multi-terminal interaction described in the second embodiment, which is not further developed herein for brevity of description.

It is to be understood that both the foregoing description and the embodiments of the present invention enable one skilled in the art to utilize the present invention. Meanwhile, the invention is not limited to the above-mentioned embodiments, and it should be understood that those skilled in the art may still modify the technical solutions described in the above-mentioned embodiments or substitute some technical features thereof, and these modifications or substitutions do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the invention, and all the modifications or substitutions should be included in the protection scope of the invention.

Claims (10)

1. A parking lot remote call method supporting multi-terminal interaction, comprising:

through API interface protocol, establishing interactive butt joint between calling center platform and multi-domain parking end, and constructing parking calling architecture;

introducing a compatible compression mode and a double-thread interaction mode, and deploying the parking call architecture based on traffic parking management guidance;

according to the parking call architecture after mode deployment, network access is carried out on call information initiated by the multi-domain parking end, traffic flow data are generated, self-adaptive compression conversion and double-line Cheng Jieou sending are carried out, the call center platform carries out receiving and coupling verification, and is transferred to a queuing port for call acceptance and parking call storage;

The method comprises the steps of determining a compression ratio by using a real-time network bandwidth to carry out quantization coding compression, carrying out double-thread conversion transmission by using a logic layer and a data layer of call service, and taking a double-thread coupling state as a verification target.

2. A parking lot remote call method supporting multi-terminal interaction as defined in claim 1, wherein introducing a compatible compressed mode comprises:

traversing a multi-domain parking end, performing multi-end compatibility analysis, and determining compatible interaction characteristics, wherein the compatibility characteristics comprise hardware compatibility and software compatibility;

determining a compatible compression mode according to the compatible interaction characteristics, wherein the bandwidth self-adaptive compression ratio under the compatible interaction characteristics is used as the compatible compression mode;

and constructing an adaptive compression module according to the compatible compression mode.

3. The method for remote calling in parking lot supporting multi-terminal interaction according to claim 2, wherein a dual-thread interaction mode is introduced, and the parking call architecture is deployed based on traffic parking management guidance, comprising:

Decoupling call service from a logic layer and a data layer, carrying out double-thread transmission configuration, and constructing a double-thread management module by taking decoupling interaction and coupling verification as principles;

And deploying the self-adaptive compression module and the double-thread management module on each architecture port of the parking call architecture.

4. A parking lot remote call method supporting multi-terminal interaction as claimed in claim 3, wherein performing adaptive compression conversion comprises:

Collecting real-time network bandwidth, and determining concurrent call volume, wherein concurrent limitation is carried out by the same-domain parking end;

According to the real-time network bandwidth and the concurrent call volume, the self-adaptive compression module is assisted to determine an information compression ratio;

And carrying out information quantization and fixed-length coding on the traffic flow data according to the information compression ratio to determine traffic flow compression data.

5. The method for parking lot remote call supporting multi-terminal interaction according to claim 4, wherein performing a dual-thread decoupled transmission comprises:

For the traffic flow compressed data, assisting the dual-thread management module to execute decoupling and concurrent transmission based on a logic layer and a data layer, and receiving and performing compression coupling by the call center platform;

And executing the verification after compression coupling, and determining a verification result.

6. The method for remote calling in parking lot supporting multi-terminal interaction according to claim 5, wherein if verification is successful, decompression processing is performed and transferred to a queuing port for call acceptance;

If the verification fails, temporary storage and active verification are executed.

7. The parking lot remote call method supporting multi-terminal interaction according to claim 1, comprising, after call reception:

generating response traffic flow data;

Collecting network bandwidth and concurrency in real time, performing bandwidth self-adaptive compression and double-thread decoupling transmission on the response traffic flow data, and executing coupling pre-verification;

if the verification is successful, displaying the verification on the terminal equipment of the calling terminal;

if the verification fails, the storage and the active verification are executed.

8. The method for supporting multiple terminal interaction parking lot remote call according to claim 7, wherein the active verification comprises:

Positioning the uncoupled content and generating a verification target;

generating a verification instruction by taking the verification target as a guide;

And executing secondary verification management based on the verification instruction.

9. The parking lot remote call method supporting multi-terminal interaction according to claim 1, comprising, after parking call certification:

acquiring a traffic management record of a parking end, and carrying out parking call evidence storage;

setting a preset period, executing the parking side gravity mining based on the traffic management record, and determining traffic guiding characteristics of a multi-domain parking end;

and carrying out parking guidance management according to the traffic guidance characteristics.

10. A parking lot remote call system supporting multi-terminal interaction for performing a parking lot remote call method supporting multi-terminal interaction as claimed in any one of claims 1 to 9, comprising:

the call connection module is used for establishing interactive butt joint between the call center platform and the multi-domain parking end through an API interface protocol, and constructing a parking call framework;

the call deployment module is used for introducing a compatible compression mode and a double-thread interaction mode and deploying the parking call architecture based on traffic parking management guidance;

The call processing module is used for accessing the network of the call information initiated by the multi-domain parking end according to the parking call architecture after the mode deployment, generating traffic flow data, executing self-adaptive compression conversion and double-line Cheng Jieou transmission, performing receiving and coupling verification on the call center platform, transferring to a queuing port for call acceptance, and performing parking call storage;

The method comprises the steps of determining a compression ratio by using a real-time network bandwidth to carry out quantization coding compression, carrying out double-thread conversion transmission by using a logic layer and a data layer of call service, and taking a double-thread coupling state as a verification target.