CN117231910A - Hydrogen filling monitoring method and device based on Internet of vehicles - Google Patents
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Abstract
The application provides a hydrogen filling monitoring method and device based on the Internet of vehicles, and relates to the technical field of the Internet of vehicles and energy data monitoring. The hydrogen filling monitoring method based on the Internet of vehicles comprises the following steps: collecting hydrogen utilization process data, wherein the hydrogen utilization process data comprises hydrogenation position data, vehicle driving behavior data, driving event data, hydrogenation behavior data and hydrogen utilization accounting data; based on the hydrogen utilization process data, calculating, processing, identifying and judging the hydrogen behavior of the vehicle by utilizing a phase application hydrogen data processing algorithm and a corresponding algorithm rule engine to obtain an identifying result of the hydrogen behavior of the vehicle; based on the identification result, whether the hydrogen process is abnormal or not is output, accurate hydrogenation behavior data can be obtained, real-time accurate monitoring of the hydrogen process for the vehicle is realized, and working efficiency is improved.
Description
Technical Field
The application relates to the technical field of Internet of vehicles and energy data monitoring, in particular to a hydrogen filling monitoring method and device based on the Internet of vehicles.
Background
Because hydrogen fuel cell logistics vehicles and hydrogen stations are still in early industrial development currently, matched digital platforms and industrial chain digital synergistic systems are commonly lost. The hydrogenation data and settlement data between the hydrogen fuel cell logistics vehicle management unit and the hydrogenation station cannot be transmitted online in real time, so that great inconvenience is brought to the management of the two parties. In the present case, hydrogen fuel cell logistics management units and hydrogen stations face the following problems: false reporting of hydrogenation times or hydrogenation weight; the number of times of hydrogenation is missed, and the weight of hydrogenation is reduced; the vehicle does not get to the designated hydrogen station for hydrogen adding according to the requirement; the hydrogenation records cannot be synchronously recorded in real time among different sites, and the hydrogenation records are still transmitted or manually recorded by adopting tools such as WeChat and the like, so that identification and statistics errors are easy to cause, and accurate energy data cannot be acquired.
Disclosure of Invention
In view of this, the embodiment of the specification provides a hydrogen filling monitoring method and device based on the internet of vehicles, which can acquire accurate hydrogenation behavior data, realize real-time accurate monitoring of the hydrogen process for vehicles, improve the working efficiency of monitoring and managing hydrogen energy data, and reduce the management and operation cost.
The embodiment of the specification provides the following technical scheme:
in one aspect, a method for monitoring hydrogen filling based on internet of vehicles is provided, including:
collecting hydrogen utilization process data, wherein the hydrogen utilization process data comprises hydrogenation position data, vehicle driving behavior data, driving event data, hydrogenation behavior data and hydrogen utilization accounting data;
based on the hydrogen utilization process data, calculating, processing, identifying and judging the hydrogen behavior of the vehicle by utilizing a phase application hydrogen data processing algorithm and a corresponding algorithm rule engine to obtain an identifying result of the hydrogen behavior of the vehicle;
and outputting monitoring result data of whether the hydrogen utilization process is abnormal or not based on the identification result.
In some embodiments, based on the hydrogen usage process data, using a phase application hydrogen data processing algorithm and a corresponding algorithm rule engine to perform calculation processing and recognition judgment on the hydrogen behavior of the vehicle, to obtain a recognition result of the hydrogen behavior of the vehicle, including:
based on real-time coordinate record data of GIS and GPS, TBOX acquisition hydrogen system real-time data and hydrogenation station electronic fence, comparing position difference to judge whether the vehicle is in a corresponding hydrogenation station and whether the vehicle is in hydrogenation;
based on the read real-time data of the temperature and the pressure of the hydrogen system, calculating according to a hydrogen filling algorithm, judging whether the vehicle hydrogenation behavior is carried out according to a hydrogenation rule engine, and obtaining a hydrogenation behavior judgment result.
In some embodiments, based on the hydrogen usage process data, using a phase application hydrogen data processing algorithm and a corresponding algorithm rule engine to perform calculation processing and recognition judgment on the hydrogen behavior of the vehicle, to obtain a recognition result of the hydrogen behavior of the vehicle, including:
triggering and reading temperature and pressure real-time data of a hydrogen system when a vehicle starts hydrogenation;
based on the real-time temperature and pressure data of the hydrogen system, calculating according to a hydrogen filling quality algorithm, and determining the hydrogenation weight according to whether hydrogenation is finished or not by a rule engine;
and judging the hydrogenation weight according to the hydrogenation amount comparison rule engine based on the hydrogenation weight, the recent hydrogenation record, the recent driving mileage and the hydrogenation station account checking data, and obtaining a judgment result of whether the hydrogenation weight is abnormal or not.
In some embodiments, based on the hydrogen usage process data, using a phase application hydrogen data processing algorithm and a corresponding algorithm rule engine to perform calculation processing and recognition judgment on the hydrogen behavior of the vehicle, to obtain a recognition result of the hydrogen behavior of the vehicle, including:
based on the read real-time data of the temperature and the pressure of the hydrogen system, calculating according to a hydrogen consumption slicing algorithm, and based on the recent vehicle working condition, the recent driving mileage, the vehicle GPS position data, the vehicle speed, the power battery consumption and the voltage and current data, monitoring the hydrogen consumption process according to whether the hydrogen consumption rule engine is excessively fast, and acquiring the recognition result of whether the hydrogen consumption process is abnormal.
In some embodiments, further comprising:
and if the monitoring result data is abnormal monitoring result data of the hydrogen using process, triggering a hydrogen using abnormal alarm and recording the hydrogen using abnormal alarm.
On the other hand, still provide a hydrogen fills monitoring device based on car networking, include:
the hydrogen utilization acquisition module is used for acquiring hydrogen utilization process data, wherein the hydrogen utilization process data comprises hydrogenation position data, vehicle driving behavior data, driving event data, hydrogenation behavior data and hydrogen utilization accounting data;
the hydrogen utilization calculation and identification module is used for carrying out calculation processing and identification judgment on the hydrogen utilization behavior of the vehicle by utilizing a phase application hydrogen data processing algorithm and a corresponding algorithm rule engine based on the hydrogen utilization process data to obtain an identification result of the hydrogen utilization behavior of the vehicle;
and the hydrogen utilization monitoring data output module is used for outputting monitoring result data of whether the hydrogen utilization process is abnormal or not based on the identification result.
In some embodiments, the hydrogen-using calculation identification module is to:
based on real-time coordinate record data of GIS and GPS, TBOX acquisition hydrogen system real-time data and hydrogenation station electronic fence, comparing position difference to judge whether the vehicle is in a corresponding hydrogenation station and whether the vehicle is in hydrogenation;
based on the read real-time data of the temperature and the pressure of the hydrogen system, calculating according to a hydrogen filling algorithm, judging whether the vehicle hydrogenation behavior is carried out according to a hydrogenation rule engine, and obtaining a hydrogenation behavior judgment result.
In some embodiments, the hydrogen-using calculation identification module is to:
triggering and reading temperature and pressure real-time data of a hydrogen system when a vehicle starts hydrogenation;
based on the real-time temperature and pressure data of the hydrogen system, calculating according to a hydrogen filling quality algorithm, and determining the hydrogenation weight according to whether hydrogenation is finished or not by a rule engine;
and judging the hydrogenation weight according to the hydrogenation amount comparison rule engine based on the hydrogenation weight, the recent hydrogenation record, the recent driving mileage and the hydrogenation station account checking data, and obtaining a judgment result of whether the hydrogenation weight is abnormal or not.
In some embodiments, the hydrogen-using calculation identification module is to:
based on the read real-time data of the temperature and the pressure of the hydrogen system, calculating according to a hydrogen consumption slicing algorithm, and based on the recent vehicle working condition, the recent driving mileage, the vehicle GPS position data, the vehicle speed, the power battery consumption and the voltage and current data, monitoring the hydrogen consumption process according to whether the hydrogen consumption rule engine is excessively fast, and acquiring the recognition result of whether the hydrogen consumption process is abnormal.
In some embodiments, the device further comprises a hydrogen usage abnormality alarm module, and if the monitoring result data is abnormal monitoring result data of the hydrogen usage process, the hydrogen usage abnormality alarm module is triggered to perform hydrogen usage abnormality alarm and perform hydrogen usage abnormality alarm record.
Compared with the prior art, the beneficial effects that above-mentioned technical scheme that this description embodiment adopted can reach include at least:
firstly, according to the GIS+GPS position of the hydrogenation action and the route planning of a service layer, whether the vehicle is hydrogenated at a designated hydrogenation station or not can be accurately judged, and whether the vehicle reaches the hydrogenation station or not can be accurately judged by cross comparison of electronic fence data and hydrogen system temperature and pressure change trend, so that accurate hydrogenation behavior data are obtained, and data deviation such as multiple reports, fewer reports, missing reports and the like of the hydrogen behavior data for the vehicle are avoided;
secondly, according to the collected pressure, temperature signals and variation trend of the hydrogen system, algorithms such as a hydrogen filling process accounting model in an algorithm library are combined, the hydrogenation weight is accurately calculated, and the hydrogenation weight is compared with metering data synchronized with a hydrogenation station, so that metering deviation can be found so as to provide a real data basis, and metering objection is conveniently solved;
furthermore, according to algorithm calculation based on the collected pressure, temperature signals and change trend of the hydrogen system and analysis and judgment of an algorithm rule engine, whether the hydrogen consumption in the vehicle-using process is abnormal or not can be actively found in real time, and loss and risk caused by untimely finding are avoided;
in addition, through the functions/tools such as intelligent algorithm, digital tool, graphical interface and the like provided by the system, a manager can timely and rapidly find various data deviation problems, and through accurately monitoring hydrogen behavior data in real time and realizing data synchronization among different sites through the system architecture, the working efficiency can be greatly improved, so that the management cost is reduced.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic flow chart of a hydrogen filling monitoring method based on the internet of vehicles, which is provided by the embodiment of the application;
FIG. 2 is a flow chart of a process for performing calculation processing and recognition judgment of hydrogen behavior for a vehicle according to an embodiment of the present application;
FIG. 3 is a flowchart of a process for performing calculation processing and recognition judgment of hydrogen behavior for a vehicle according to an embodiment of the present application;
FIG. 4 is a flowchart of a process for performing calculation processing and recognition judgment of hydrogen behavior for a vehicle according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of a hydrogen filling monitoring device based on the internet of vehicles according to an embodiment of the present application;
FIG. 6 is a schematic diagram of a hydrogen filling monitoring system architecture based on the Internet of vehicles according to an embodiment of the present application;
FIG. 7 is a schematic diagram of a map monitoring interface in full-scale monitoring provided by an embodiment of the present application;
FIG. 8 is a schematic diagram of a data monitoring interface in full view monitoring provided by an embodiment of the present application;
FIG. 9 is a schematic diagram of GPS-based electronic fence acquisition data provided by an embodiment of the present application;
FIG. 10 is a schematic diagram of a fuel cell vehicle TBOX hydrogen collection system data provided in an embodiment of the present application;
fig. 11 is a schematic diagram of a hydrogen process data trend chart for a vehicle according to an embodiment of the present application.
Detailed Description
Embodiments of the present application will be described in detail below with reference to the accompanying drawings.
Other advantages and effects of the present application will become apparent to those skilled in the art from the following disclosure, which describes the embodiments of the present application with reference to specific examples. It will be apparent that the described embodiments are only some, but not all, embodiments of the application. The application may be practiced or carried out in other embodiments that depart from the specific details, and the details of the present description may be modified or varied from the spirit and scope of the present application. It should be noted that the following embodiments and features in the embodiments may be combined with each other without conflict. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
It is noted that various aspects of the embodiments are described below within the scope of the following claims. It should be apparent that the aspects described herein may be embodied in a wide variety of forms and that any specific structure and/or function described herein is merely illustrative. Based on the present disclosure, one skilled in the art will appreciate that one aspect described herein may be implemented independently of any other aspect, and that two or more of these aspects may be combined in various ways. For example, apparatus may be implemented and/or methods practiced using any number and aspects set forth herein. In addition, such apparatus may be implemented and/or such methods practiced using other structure and/or functionality in addition to one or more of the aspects set forth herein.
It should also be noted that the illustrations provided in the following embodiments merely illustrate the basic concept of the present application by way of illustration, and only the components related to the present application are shown in the drawings and are not drawn according to the number, shape and size of the components in actual implementation, and the form, number and proportion of the components in actual implementation may be arbitrarily changed, and the layout of the components may be more complicated.
In addition, in the following description, specific details are provided in order to provide a thorough understanding of the examples. However, it will be understood by those skilled in the art that the present application may be practiced without these specific details.
Example 1
In this embodiment, a method for monitoring hydrogen filling based on internet of vehicles is provided, which includes the following steps:
s1, acquiring hydrogen utilization process data, wherein the hydrogen utilization process data comprise hydrogenation position data, vehicle driving behavior data, driving event data, hydrogenation behavior data and hydrogen utilization accounting data;
s2, based on hydrogen utilization process data, calculating, processing, identifying and judging the hydrogen behavior of the vehicle by utilizing a phase application hydrogen data processing algorithm and a corresponding algorithm rule engine to obtain an identifying result of the hydrogen behavior of the vehicle;
and S3, outputting monitoring result data of whether the hydrogen utilization process is abnormal or not based on the identification result.
Specifically, the hydrogenation position data can include GIS high-precision map import data, GPS real-time position data and TBOX (tunnel boring ox) acquisition hydrogen system real-time data carried by the vehicle when leaving the factory, and the data can be obtained based on data processing such as abnormal data filtering, speed generation, track generation, duration generation, missing data recalculation and the like; the vehicle driving behavior data may include data such as rapid acceleration, rapid deceleration, overspeed, idle speed, accelerator depth, etc.; the driving event data may include data of an access area, vehicle start-stop, etc.; the hydrogenation behavior data can comprise behavior data such as hydrogenation start recognition, hydrogenation end recognition, hydrogenation amount accounting and the like; the hydrogen consumption accounting data can comprise hydrogen consumption data sliced and accounted for according to time and working conditions (static, idle, rapid acceleration, rapid deceleration, different speed intervals).
In the step S2, based on the hydrogen usage process data, the calculation processing and the recognition judgment of the hydrogen behavior for the vehicle are performed by using the phase application hydrogen data processing algorithm and the corresponding algorithm rule engine, so as to obtain the recognition result of the hydrogen behavior for the vehicle, which may be implemented in the following manner:
as shown in fig. 2, based on real-time coordinate record data of a GIS and a GPS, real-time data of a TBOX acquisition hydrogen system and a hydrogenation station electronic fence, comparing position differences to judge whether a vehicle is in a corresponding hydrogenation station and whether the vehicle is in hydrogenation;
based on the read real-time data of the temperature and the pressure of the hydrogen system, calculating according to a hydrogen filling algorithm, judging whether the vehicle hydrogenation behavior is carried out according to a hydrogenation rule engine, and obtaining a hydrogenation behavior judgment result.
The algorithm and the algorithm rule engine of the flow are used for judging, so that whether the vehicle hydrogenation new behavior is hydrogenated at the designated hydrogenation station or not can be accurately judged, and whether the abnormal behavior data such as multi-report, less-report, missing report and the like exist in the number of times of hydrogenation or not is determined.
In the step S2, based on the hydrogen usage process data, the calculation processing and the recognition and judgment of the hydrogen behavior for the vehicle are performed by using the applied hydrogen data processing algorithm and the corresponding algorithm rule engine, so as to obtain the recognition result of the hydrogen behavior for the vehicle, and the following may be implemented:
as shown in fig. 3, the vehicle starts hydrogenation action to trigger the reading of the real-time temperature and pressure data of the hydrogen system;
based on the real-time data of the temperature and the pressure of the hydrogen system, calculating according to a hydrogen filling quality algorithm, and determining the hydrogenation weight according to whether the hydrogenation is finished or not by a rule engine;
based on the hydrogenation weight, the recent hydrogenation record, the recent driving mileage and the hydrogenation station account checking data, the hydrogenation weight is judged according to the hydrogenation amount comparison rule engine, whether the weight obtained by the current hydrogenation is greatly different or not is checked through the data, and therefore a judgment result of whether the hydrogenation weight is abnormal or not is obtained.
In the step S2, based on the hydrogen usage process data, the calculation processing and the recognition and judgment of the hydrogen behavior for the vehicle are performed by using the applied hydrogen data processing algorithm and the corresponding algorithm rule engine, so as to obtain the recognition result of the hydrogen behavior for the vehicle, and the following may be implemented:
as shown in fig. 4, based on the read real-time data of the temperature and pressure of the hydrogen system, the calculation is performed according to the hydrogen consumption slicing algorithm, and based on the recent vehicle working condition, the recent driving mileage, the vehicle GPS position data, the vehicle speed, the power battery consumption and the voltage and current data, the hydrogen consumption process monitoring is performed according to the hydrogen consumption rule engine which is too fast, the recognition result of whether the hydrogen consumption process is abnormal is obtained, and the hydrogen consumption abnormality alarm record can be performed.
The hydrogen consumption process can be continuously monitored by judging the algorithm and the algorithm rule engine of the flow, and abnormal behaviors such as hydrogen leakage or drainage caused by equipment failure and artificial damage can be timely found.
In addition, preferably, the method for monitoring hydrogen filling based on internet of vehicles provided by the embodiment of the application further comprises the following steps:
if the monitoring result data is abnormal monitoring result data of the hydrogen using process, triggering hydrogen using abnormal alarm and performing hydrogen using abnormal alarm record so as to monitor and acquire the hydrogen using abnormal condition data in time, and the hydrogen using abnormal alarm record can realize the retention synchronization of the data and can be used for subsequent data analysis.
Example 2
In this embodiment, a hydrogen filling monitoring device based on internet of vehicles is provided, as shown in fig. 5, the device includes:
the hydrogen utilization acquisition module 21 is used for acquiring hydrogen utilization process data, wherein the hydrogen utilization process data comprises hydrogenation position data, vehicle driving behavior data, driving event data, hydrogenation behavior data and hydrogen utilization accounting data;
the hydrogen utilization calculation and identification module 22 is configured to perform calculation processing and identification judgment on the hydrogen utilization behavior of the vehicle by using a phase application hydrogen data processing algorithm and a corresponding algorithm rule engine based on the hydrogen utilization process data, so as to obtain an identification result of the hydrogen utilization behavior of the vehicle;
the hydrogen use monitoring data output module 23 is used for outputting monitoring result data of whether the hydrogen use process is abnormal or not based on the identification result.
Specifically, the hydrogen-using calculation identification module 22 may be configured to: based on real-time coordinate record data of GIS and GPS, TBOX acquisition hydrogen system real-time data and hydrogenation station electronic fence, comparing position difference to judge whether the vehicle is in a corresponding hydrogenation station and whether the vehicle is in hydrogenation; and calculating according to a hydrogen filling algorithm based on the read real-time temperature and pressure data of the hydrogen system, and judging whether the hydrogen filling rule engine is used for carrying out the vehicle hydrogenation behavior to obtain a hydrogenation behavior judgment result.
In addition, the hydrogen-using calculation identification module 22 may also be used to: triggering and reading temperature and pressure real-time data of a hydrogen system when a vehicle starts hydrogenation; based on the real-time data of the temperature and the pressure of the hydrogen system, calculating according to a hydrogen filling quality algorithm, and determining the hydrogenation weight according to whether the hydrogenation is finished or not by a rule engine; and based on the hydrogenation weight, the recent hydrogenation record, the recent driving mileage and the hydrogenation station account checking data, judging the hydrogenation weight according to the hydrogenation amount comparison rule engine, and acquiring a judgment result of whether the hydrogenation weight is abnormal.
In addition, the hydrogen-using calculation identification module 22 may also be used to: based on the read real-time data of the temperature and the pressure of the hydrogen system, the method calculates according to a hydrogen consumption slicing algorithm, and based on the recent vehicle working condition, the recent driving mileage, the vehicle GPS position data, the vehicle speed, the power battery consumption and the voltage and current data, the hydrogen consumption process is monitored according to the hydrogen consumption rule engine which is too fast, the recognition result of whether the hydrogen consumption process is abnormal is obtained, and the hydrogen consumption abnormality alarming record can be carried out through a hydrogen consumption abnormality alarming module as follows.
In addition, preferably, the hydrogen filling monitoring device based on the internet of vehicles further comprises a hydrogen usage abnormality alarm module (not shown in the figure), and if the monitoring result data is abnormal monitoring result data in the hydrogen usage process, the hydrogen usage abnormality alarm module is triggered to perform hydrogen usage abnormality alarm and perform hydrogen usage abnormality alarm record.
Example 3
The method and device for monitoring hydrogen filling based on the internet of vehicles (including embodiments 1, 2 or other possible embodiments) provided by the embodiment of the application can be implemented by using the following system architecture. As shown in fig. 6, the system architecture mainly includes a device layer, a data acquisition subsystem, an algorithm library, an algorithm rule engine, and a system platform. It should be noted that the system architecture herein is merely exemplary, and any other possible system architecture may be implemented without departing from the inventive concept.
Specifically, the device layer is compatible with various intelligent vehicle-mounted devices and mainly comprises: the GPS equipment, the TBOX, the vehicle terminal, the vehicle recorder, the camera and various communication gateways are arranged, if the equipment layer has a remote communication function, the equipment layer can independently send data to the data acquisition platform, and can also send data to the data acquisition platform after being aggregated through the Tbox or other communication gateways.
In addition, the data acquisition subsystem in the hydrogen filling monitoring system architecture mainly realizes the functional layers of a communication gateway, instruction encapsulation/analysis, data verification, data processing treatment, data storage, data forwarding and the like.
Specifically, the communication gateway: the data acquisition platform communication adapter is now compatible with mainstream communication protocols such as: 808/809/32960, etc., can support dynamic loading and unloading devices by rapidly expanding communication data access through the set-up. Preferably, a related technology base of the internet of things cloud platform can be adopted, and a communication gateway compatible with various protocols is developed in combination with related technology of the internet of vehicles, so that real-time, timing or on-demand connection can be established with various vehicle-mounted intelligent devices of the hydrogen fuel cell logistics vehicle. Meanwhile, a dynamic loading/unloading technology and a configurable analysis technology are developed for various communication protocols (808/809/32960 and the like), so that protocol expansion is more flexible, the defect of loading driving of full-platform restarting is overcome, and the integrity and stability of overall data are conveniently maintained.
In terms of data collection, as shown in fig. 7 and 8, high-precision map data can be illustratively imported into a GIS system, a high-precision map coordinate system is established, data processing is performed on the GIS system through longitude and latitude signal metadata uploaded by vehicle-mounted GPS equipment, real-time coordinates, real-time speed, routes, parking duration, rapid acceleration, rapid deceleration, fatigue driving and other data can be generated, and by means of a hydrogenation station electronic fence (illustratively, as shown in fig. 9), the time point and the stay duration of a driver entering and exiting a hydrogenation station can be generated for primarily judging the hydrogenation behavior of a vehicle. Further, as shown in fig. 10, the real-time data of the hydrogen system is obtained by means of a TBOX collecting hydrogen system or a Can protocol communication gateway directly added, the pressure, temperature and other data of a plurality of sensors are obtained, and accurate judgment of actual hydrogenation action is performed according to the truest data.
Instruction encapsulation/parsing: according to the transmission requirements of various devices, various protocol instructions can be packaged/analyzed, and the instructions are issued or data are received according to the interaction time sequence.
And (3) data verification: for collecting analysis data, data verification can be performed according to a convention verification mode, and dirty data is removed.
And (3) data processing: the collected data can be simply operated according to a set rule to form secondary data.
And (3) data storage: the collected data can be stored in the database/file in real time according to the configured storage requirement.
And (3) data forwarding: subscription data can be forwarded to a designated position through various message middleware, a short message interface and other real-time communication interfaces according to configured parameters aiming at the acquired data and the alarm data.
In addition, the algorithm library in the hydrogen filling monitoring system architecture mainly aims at the acquired data to carry out data secondary processing through various algorithms to form service available data, and the main algorithms comprise the following steps:
based on the hydrogenation location data class: abnormal data filtering, speed generation, track generation, duration generation, missing data recalculation and the like;
based on the vehicle driving behavior data class: rapid acceleration, rapid deceleration, overspeed, idling, accelerator depth, etc.;
based on the driving event data class: access areas, vehicle start-stop, etc.;
based on hydrogenation behavior data: hydrogenation start identification, hydrogenation end identification and hydrogenation amount accounting;
based on accounting data with hydrogen: slicing according to time and working conditions (static, idle, rapid acceleration, rapid deceleration and different speed intervals) and accounting the hydrogen consumption.
Preferably, the hydrogenation weight can be accurately calculated through a filtering model of an algorithm library and a hydrogen filling process accounting model based on the collected real-time data of the hydrogen system. In addition, the hydrogen consumption in the slicing range can be dynamically calculated by collecting and processing the data of the hydrogen system and slicing the data according to different time periods and different working conditions, and the hydrogen consumption in the slicing range can be used for judging whether the hydrogen consumption process is abnormal or not and whether the hydrogen leakage condition (caused by human or equipment problems) exists or not.
The corresponding algorithm rule engine in the hydrogen filling monitoring system architecture can accurately identify whether hydrogenation abnormal behaviors exist or not by cross comparison and statistical analysis of various rules aiming at collected real-time data, processed secondary data and service data, and the main components of the algorithm rule engine are as follows:
rule configuration: configuring required input data items of rules, rule operation logic and result output modes;
and (3) rule scheduling: configuring regular scheduling time, frequency and operation mode;
operation rule preparation: compiling a judging rule by adopting a configuration form, a code form and a machine learning form;
rule logic implementation: according to the input of various data, the logic coding of various rules such as hydrogenation starting behavior comparison, hydrogenation ending behavior comparison, hydrogen process real-time comparison, hydrogen consumption statistics anomaly comparison, hydrogen leakage early warning and the like is realized;
and (3) outputting results: the operation result is stored in a database or sent out in the form of a message through the operation of a rule engine.
Preferably, whether the vehicle has hydrogenation action and hydrogenation amount can be accurately judged through GPS data and hydrogen system data, and whether the hydrogen consumption process is abnormal can be judged through accounting dynamic hydrogen consumption and combining hydrogen leakage alarm data. And meanwhile, comprehensively analyzing and comparing mileage, routes and business data to judge whether the hydrogenation and hydrogen consumption behaviors of the vehicle are abnormal. In addition, intelligent analysis decision can be made on the collected real-time data, secondary processing data and multi-rule comparison data, and real-time alarm/early warning can be given to the discovered abnormal behaviors and data to form an alarm/early warning report. In addition, multi-dimensional analysis is performed by combining IOT metadata or processing data such as GPS data, vehicle-mounted instrument data and the like with business data and hydrogen station settlement data, whether the hydrogen adding and hydrogen using behaviors of the vehicle are abnormal or not is comprehensively judged, and finally, the data trend chart of the hydrogen using process of the vehicle is provided for inquiry and downloading of management staff in forms such as reports, charts and the like, and is exemplified as shown in FIG. 11.
Based on the equipment layer, the data acquisition subsystem, the algorithm library and the algorithm rule engine, the system architecture also realizes a system platform which is convenient for users to monitor, inquire and apply in real time.
The preparation of the data layer is finished through the data acquisition subsystem and the rule engine subsystem, and various business operations and management are finished through the interaction of the system platform and the user. The system platform has the main functions of:
and (3) real-time monitoring: real-time parameters such as the current position, speed, hydrogen system, fuel cell system and the like of the vehicle are monitored in a GIS map and chart form, so that track playback and multi-condition data playback are supported;
and (3) data query: inquiring various data according to different dimensions, different time slices and different working condition slices, supporting multi-dimensional chart display and multi-dimensional contrast display;
behavior statistics and playback: checking the identified hydrogenation start, hydrogenation end, hydrogenation amount, hydrogen consumption behavior event and judging state, and supporting multidimensional data combined playback;
alarm/pre-warning: the alarm/early warning information can be inquired, can be received in the forms of mobile phone short messages, weChat, nails and mails, and can be processed online;
statistical analysis: data combination inquiry, chart (trend graph, histogram, pie graph and the like) analysis and contrast analysis of multiple dimensions, multiple time periods and multiple working conditions are supported; drilling the support data according to different fineness;
various configuration modules: configuring various basic data and rules;
rights management: and distributing operation authorities according to different posts and roles.
In this specification, identical and similar parts of the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the apparatus or system architecture embodiments described below, reference should be made to the description of portions of the system embodiments as it corresponds to the method. Meanwhile, the specification uses specific words to describe the embodiments of the specification. Reference to "one embodiment," "an embodiment," and/or "some embodiments" means that a particular feature, structure, or characteristic is associated with at least one embodiment of the present description. Thus, it should be emphasized and should be appreciated that two or more references to "an embodiment" or "one embodiment" or "an alternative embodiment" in various positions in this specification are not necessarily referring to the same embodiment. Furthermore, certain features, structures, or characteristics of one or more embodiments of the present description may be combined as suitable.
Furthermore, the order in which the elements and sequences are processed, the use of numerical letters, or other designations in the description are not intended to limit the order in which the processes and methods of the description are performed unless explicitly recited in the claims. While certain presently useful inventive embodiments have been discussed in the foregoing disclosure, by way of various examples, it is to be understood that such details are merely illustrative and that the appended claims are not limited to the disclosed embodiments, but, on the contrary, are intended to cover all modifications and equivalent arrangements included within the spirit and scope of the embodiments of the present disclosure. For example, while the system components described above may be implemented by hardware devices, they may also be implemented solely by software solutions, such as installing the described system on an existing processing device or mobile device.
While the basic concepts have been described above, it will be apparent to those skilled in the art that the foregoing detailed disclosure is by way of example only and is not intended to be limiting. Although not explicitly described herein, various modifications, improvements, and adaptations to the present disclosure may occur to one skilled in the art. Such modifications, improvements, and modifications are intended to be suggested within this specification, and therefore, such modifications, improvements, and modifications are intended to be included within the spirit and scope of the exemplary embodiments of the present application.
Claims (10)
1. The hydrogen filling monitoring method based on the Internet of vehicles is characterized by comprising the following steps of:
collecting hydrogen utilization process data, wherein the hydrogen utilization process data comprises hydrogenation position data, vehicle driving behavior data, driving event data, hydrogenation behavior data and hydrogen utilization accounting data;
based on the hydrogen utilization process data, calculating, processing, identifying and judging the hydrogen behavior of the vehicle by utilizing a phase application hydrogen data processing algorithm and a corresponding algorithm rule engine to obtain an identifying result of the hydrogen behavior of the vehicle;
and outputting monitoring result data of whether the hydrogen utilization process is abnormal or not based on the identification result.
2. The method for monitoring hydrogen filling based on internet of vehicles according to claim 1, wherein based on the hydrogen usage process data, the calculation processing and the recognition judgment of the hydrogen behavior for vehicles are performed by using a corresponding hydrogen usage data processing algorithm and a corresponding algorithm rule engine, and the recognition result of the hydrogen behavior for vehicles is obtained, comprising:
based on real-time coordinate record data of GIS and GPS, TBOX acquisition hydrogen system real-time data and hydrogenation station electronic fence, comparing position difference to judge whether the vehicle is in a corresponding hydrogenation station and whether the vehicle is in hydrogenation;
based on the read real-time data of the temperature and the pressure of the hydrogen system, calculating according to a hydrogen filling algorithm, judging whether the vehicle hydrogenation behavior is carried out according to a hydrogenation rule engine, and obtaining a hydrogenation behavior judgment result.
3. The method for monitoring hydrogen filling based on internet of vehicles according to claim 1, wherein based on the hydrogen usage process data, the calculation processing and the recognition judgment of the hydrogen behavior for vehicles are performed by using a corresponding hydrogen usage data processing algorithm and a corresponding algorithm rule engine, and the recognition result of the hydrogen behavior for vehicles is obtained, comprising:
triggering and reading temperature and pressure real-time data of a hydrogen system when a vehicle starts hydrogenation;
based on the real-time temperature and pressure data of the hydrogen system, calculating according to a hydrogen filling quality algorithm, and determining the hydrogenation weight according to whether hydrogenation is finished or not by a rule engine;
and judging the hydrogenation weight according to the hydrogenation amount comparison rule engine based on the hydrogenation weight, the recent hydrogenation record, the recent driving mileage and the hydrogenation station account checking data, and obtaining a judgment result of whether the hydrogenation weight is abnormal or not.
4. The method for monitoring hydrogen filling based on internet of vehicles according to claim 1, wherein based on the hydrogen usage process data, the calculation processing and the recognition judgment of the hydrogen behavior for vehicles are performed by using a corresponding hydrogen usage data processing algorithm and a corresponding algorithm rule engine, and the recognition result of the hydrogen behavior for vehicles is obtained, comprising:
based on the read real-time data of the temperature and the pressure of the hydrogen system, calculating according to a hydrogen consumption slicing algorithm, and based on the recent vehicle working condition, the recent driving mileage, the vehicle GPS position data, the vehicle speed, the power battery consumption and the voltage and current data, monitoring the hydrogen consumption process according to whether the hydrogen consumption rule engine is excessively fast, and acquiring the recognition result of whether the hydrogen consumption process is abnormal.
5. The hydrogen filling monitoring method based on the internet of vehicles according to any one of claims 1 to 4, further comprising:
and if the monitoring result data is abnormal monitoring result data of the hydrogen using process, triggering a hydrogen using abnormal alarm and recording the hydrogen using abnormal alarm.
6. Hydrogen fills monitoring device based on car networking, its characterized in that includes:
the hydrogen utilization acquisition module is used for acquiring hydrogen utilization process data, wherein the hydrogen utilization process data comprises hydrogenation position data, vehicle driving behavior data, driving event data, hydrogenation behavior data and hydrogen utilization accounting data;
the hydrogen utilization calculation and identification module is used for carrying out calculation processing and identification judgment on the hydrogen utilization behavior of the vehicle by utilizing a phase application hydrogen data processing algorithm and a corresponding algorithm rule engine based on the hydrogen utilization process data to obtain an identification result of the hydrogen utilization behavior of the vehicle;
and the hydrogen utilization monitoring data output module is used for outputting monitoring result data of whether the hydrogen utilization process is abnormal or not based on the identification result.
7. The hydrogen filling monitoring device based on the internet of vehicles according to claim 6, wherein the hydrogen usage calculation and identification module is configured to:
based on real-time coordinate record data of GIS and GPS, TBOX acquisition hydrogen system real-time data and hydrogenation station electronic fence, comparing position difference to judge whether the vehicle is in a corresponding hydrogenation station and whether the vehicle is in hydrogenation;
based on the read real-time data of the temperature and the pressure of the hydrogen system, calculating according to a hydrogen filling algorithm, judging whether the vehicle hydrogenation behavior is carried out according to a hydrogenation rule engine, and obtaining a hydrogenation behavior judgment result.
8. The hydrogen filling monitoring device based on the internet of vehicles according to claim 6, wherein the hydrogen usage calculation and identification module is configured to:
triggering and reading temperature and pressure real-time data of a hydrogen system when a vehicle starts hydrogenation;
based on the real-time temperature and pressure data of the hydrogen system, calculating according to a hydrogen filling quality algorithm, and determining the hydrogenation weight according to whether hydrogenation is finished or not by a rule engine;
and judging the hydrogenation weight according to the hydrogenation amount comparison rule engine based on the hydrogenation weight, the recent hydrogenation record, the recent driving mileage and the hydrogenation station account checking data, and obtaining a judgment result of whether the hydrogenation weight is abnormal or not.
9. The hydrogen filling monitoring device based on the internet of vehicles according to claim 6, wherein the hydrogen usage calculation and identification module is configured to:
based on the read real-time data of the temperature and the pressure of the hydrogen system, calculating according to a hydrogen consumption slicing algorithm, and based on the recent vehicle working condition, the recent driving mileage, the vehicle GPS position data, the vehicle speed, the power battery consumption and the voltage and current data, monitoring the hydrogen consumption process according to whether the hydrogen consumption rule engine is excessively fast, and acquiring the recognition result of whether the hydrogen consumption process is abnormal.
10. The hydrogen filling monitoring device based on the internet of vehicles according to any one of claims 6 to 9, further comprising a hydrogen usage abnormality alarm module, wherein if the monitoring result data is monitoring result data of abnormality of the hydrogen usage process, the hydrogen usage abnormality alarm module is triggered to perform hydrogen usage abnormality alarm and perform hydrogen usage abnormality alarm record.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117970822A (en) * | 2024-04-02 | 2024-05-03 | 陕西黑石绿能能源科技有限公司 | Automatic unmanned hydrogenation system and hydrogenation method thereof |
| CN117970822B (en) * | 2024-04-02 | 2024-06-25 | 陕西黑石绿能能源科技有限公司 | Automatic unmanned hydrogenation system and hydrogenation method thereof |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117970822A (en) * | 2024-04-02 | 2024-05-03 | 陕西黑石绿能能源科技有限公司 | Automatic unmanned hydrogenation system and hydrogenation method thereof |
| CN117970822B (en) * | 2024-04-02 | 2024-06-25 | 陕西黑石绿能能源科技有限公司 | Automatic unmanned hydrogenation system and hydrogenation method thereof |
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