304 results about "Petrol station" patented technology

The invention relates to the technical field of gas station equipment monitoring, in particular to a gas station equipment monitoring system and method based on the Internet of Things. The method specifically comprises the steps of collecting multi-dimensional operation parameters of equipment and business process node dynamics in real time, constructing a bidirectional coupling graph model of the equipment and business, and extracting high-order features of physical association and business logic interaction between the equipment by using a graph convolutional network; predicting equipment fault risks by adopting a dynamic health scoring mechanism, backtracking a risk propagation chain in combination with an attention mechanism, and mapping multi-dimensional data into interpretable fault diagnosis information through an abnormal semantic generation network; a double-layer reinforcement learning game mechanism is introduced, an inner layer coordinates equipment maintenance and a risk suppression strategy, an outer layer overall plans service efficiency and a safety target, optimization actions such as resource scheduling and oil product allocation are generated, and a perception-diagnosis-decision closed loop is formed. According to the method, full-time perception of the equipment state, active fault early warning and cross-domain collaborative optimization are realized, and the operation and maintenance efficiency and safety of the gas station are remarkably improved.

The embodiment of the invention provides a local life service integration method and device and terminal equipment. The method comprises the following steps: integrating a plurality of heterogeneous local life service providers into a gas station service platform to obtain a local life service platform, and collecting real-time service data in real time; non-oil sales fluctuation of the gas station is predicted based on the real-time service data, and the order quantity and the delivery cycle of upstream and downstream suppliers are dynamically adjusted according to a prediction result; constructing a multi-dimensional data analysis model, predicting user traffic and various service demands in different time periods every day, and configuring a corresponding local life service time window based on a prediction result; dynamically updating callable local life service resources and dynamically deploying gas station human resources based on the order quantity, the delivery cycle and the local life service resource configuration; and generating a personalized service list of the user by using a collaborative filtering algorithm and a reinforcement learning algorithm, interacting with the user in an interaction interface, and providing corresponding local life service resources for the user.

The invention belongs to the technical field of oil product transaction supervision, and discloses an intelligent supervision platform and a monitoring method for oil product circulation. The method comprises the following steps: deploying an edge node at a gas station and calibrating through a satellite signal; synchronizing a device signal based on an improved PTP protocol; the method comprises the following steps: collecting product oil circulation data through product oil circulation equipment, adding a PTP calibration timestamp to the product oil circulation data, and storing the product oil circulation data through a Hyperledger Fabric alliance chain to generate a block containing a time anchor point; the SSL / TLS protocol is adopted to encrypt and transmit data to the provincial cloud platform, and cross-database operation of product oil circulation data is carried out through a two-stage submission transaction processing mechanism; product oil circulation data are integrated based on an SOA architecture, a standardized tax control model is generated through ETL, and intelligent analysis and early warning are performed through a dynamic double-track early warning mechanism; according to the method, the problem of unreliable time synchronization in a complex network environment is solved, data such as transaction and inventory are ensured to carry credible timestamps, and second-level anomaly traceability is supported.

The present invention belongs to the field of virtual character generation and relates to interactive testing technology, which is used to solve the problem that the existing technology cannot generate virtual characters for simulation training. Specifically, it is a virtual character interaction design generation method based on multimodal perception, including a character generation sub-method and a test optimization sub-method; the character generation sub-method includes the following steps: "Virtual image setting conception": setting basic parameters of the virtual character, the basic parameters include image style, category, positioning and basic information, the basic information includes gender, age, appearance characteristics and personality characteristics, realizing first-person perspective roaming and device interactive operation, allowing users to operate virtual devices; the present invention can simulate gas stations, oil depots and other depot scenes, and can also develop emergency accident scenes for simulation training. At the same time, it combines key technologies such as 3D modeling and emergency simulation to ensure training effects.

The invention relates to the technical field of oil gas recovery, and discloses a gas station oil gas recovery intelligent operation and maintenance system based on high-performance flow measurement, and the system comprises a collection module which is used for collecting the oil gun refueling amount, the oil gas recovery amount and the recovered oil gas pipeline pressure in real time through a sensor in the refueling process, and collecting the control degree used for controlling the oil gas flow; the correction module is used for correcting the control degree value by using an extended Kalman filtering algorithm to dynamically correct the oil and gas recovery amount, recursively estimating the flow state through the extended Kalman filtering algorithm and outputting the corrected gas-liquid ratio; the judgment module is used for judging whether the corrected gas-liquid ratio is in a preset normal interval or not, judging that the system equipment is normal if the corrected gas-liquid ratio is in the preset normal interval, and performing equipment state diagnosis based on a Bi-LSTM network and a VMD algorithm if the corrected gas-liquid ratio is not in the preset normal interval; the generation module is used for generating an optimal operation and maintenance scheme by adopting a DQN network based on the diagnosis result and generating a corresponding operation and maintenance instruction; intelligent operation and maintenance of gas station oil gas recovery are promoted.

The invention belongs to the technical field of intelligent detection and operation and maintenance, and provides a gas station and oil depot inspection and maintenance and inspection system based on AR glasses, and the system comprises the steps that an AR module detects a storage tank to obtain comprehensive multi-source data; the data visualization module superposes and displays the comprehensive multi-source data at the physical position of the storage tank in real time to obtain real-time picture data of the AR glasses; the path optimization module plans a shortest inspection path and guides an inspector through a ground projection arrow; the collaborative maintenance module receives the real-time picture data of the AR glasses through the collaborative platform, marks the real-time picture data and sends a maintenance instruction; the training drilling module simulates the oil unloading process of the oil tank truck, sends out an operation instruction and records the operation duration; the simulation evaluation module compares actual operation with the operation instruction, sends out virtual leakage early warning information and generates a capability evaluation report; the real-time storage tank state is obtained through the AR technology, and the shortest inspection path is obtained, so that the inspection time and energy consumption are reduced, and meanwhile, the maintenance time is shortened.

The invention relates to the technical field of product oil management, and discloses a product oil purchase-sale-stock multi-modal data analysis method and system. The method comprises the following steps: acquiring real-time inventory data, transportation state data and sales terminal data in a product oil supply chain to form a multi-modal data set; performing data cleaning on the data, and extracting key inventory characteristics to generate a cleaned data subset; obtaining associated historical purchase data, regional demand prediction data and market price fluctuation data based on the gas station identification information to form a multi-dimensional auxiliary data set; inputting the features into an inventory feature extraction model, generating a multi-feature vector set, and fusing the multi-feature vector set; inputting the fused feature vectors into an inventory state evaluation model set, and outputting inventory early warning level and abnormal type information; and finally, a dynamic allocation scheme is generated by combining real-time inventory data and the like. According to the method, multi-modal data are integrated, so that the comprehensiveness and accuracy of data analysis are improved, and the purchase-sales-stock management of the product oil is assisted to be more suitable for market dynamics.

The invention provides an intelligent gas station optimization scheduling method and system, is applied to the technical field of vehicle scheduling, and aims to guide a vehicle to enter a proper initial parking position by obtaining the identity and service demand of the vehicle when the vehicle enters the station and generating a service voucher and combining real-time resource information in an energy station. And when the service resources in the station are available, selecting the most suitable target vehicle for resource allocation according to the type of the available service resources and the demand information recorded in the waiting vehicle service voucher. In the service process, if service demand update information exists, the service voucher of the vehicle is dynamically adjusted according to the update information, and according to the adjusted service voucher, the system can provide an accurate second guide signal for the vehicle completing the current service to guide the vehicle to go to the next stop, so that the service quality of the vehicle is improved. The whole process of the vehicle in the station is ensured to be smooth and efficient, and path conflict or congestion caused by demand change is avoided, so that optimal scheduling of the vehicle in the whole life cycle in the energy station is realized.

The invention provides a multi-mode perception gas station environment safety early warning method and system, which are applied to the technical field of safety early warning, and are used for obtaining video and audio data, extracting vehicle and environment sound information, carrying out preliminary judgment, and carrying out event confirmation, priority ranking and linkage instruction generation through a rule inference engine. Therefore, deep fusion and comprehensive analysis of the multi-modal information are achieved, the accuracy and robustness of event judgment are improved, concurrent events can be effectively processed, refined linkage control is achieved, the accuracy and robustness of event judgment are improved through multi-modal information fusion, priority ranking and linkage can be carried out according to the events, and the efficiency of event judgment is improved. The method has the advantages that the problems that single-modal information is limited, simple fusion is insufficient, and concurrent event processing is not fine are solved.

The invention relates to the technical field of gas station operation optimization, in particular to an intelligent gas station operation optimization system and method based on big data and artificial intelligence. The data acquisition module acquires and uploads multi-source data in real time, the data processing module cleans and standardizes the multi-source data to generate auditable tagged data, the AI analysis module performs demand prediction based on a demand prediction model, and performs grouping through a K-means algorithm to generate user portraits. The intelligent scheduling module carries out intelligent dynamic scheduling according to a demand prediction result, optimizes service efficiency and reduces client waiting time, the operation optimization module carries out precise marketing according to a client portrait and formulates a personalized preferential strategy, and the feedback suggestion collection module monitors operation data and client feedback in real time. And the result is returned to the AI analysis module to optimize the prediction model and the marketing strategy. According to the invention, the scheduling and prediction precision is improved, an operation decision basis is provided for managers, and the gas station operation efficiency and customer satisfaction are improved.

The invention discloses a gas station anomaly detection method based on a multi-modal large model, and the method comprises the following steps: collecting a video image of a gas station; acquiring environment sensor data of the gas station; fusing the video image and the sensor data to construct multi-modal data; and inputting the fused multi-modal data into the trained multi-modal large model for reasoning, and judging whether an abnormal event occurs in the gas station.

The invention discloses an oiling machine with a pipeline monitoring function, relates to the technical field of oiling machine monitoring, and solves the technical problems that intelligent analysis is difficult to carry out according to pipeline operation data and oil product characteristic changes, and an effective abnormal early warning and oil outlet amount compensation adjustment scheme cannot be automatically generated. Through the super-threshold analysis unit and the low-threshold analysis unit, whether the pipeline pressure is abnormal or not and whether the flow is in a normal range or not can be accurately judged, the problems of pipeline leakage, blockage and the like can be found in time, the operation safety of the gas station is greatly improved, and the super-threshold analysis unit can accurately judge whether the pipeline pressure is abnormal or not according to comparison between real-time pressure and set standard pressure. The pressure abnormal condition is rapidly judged, a detailed abnormal reason report is generated, based on accurate calculation of oil product temperature changes and expansion coefficients and deep analysis of the relation between oil product viscosity and flow, the oil outlet amount can be accurately compensated and adjusted according to the actual condition, and metering errors are reduced.

The invention discloses an oil abnormal loss root cause positioning method for a gas station, and belongs to the field of intelligent monitoring. According to the method, a homologous time synchronization cross-modal event bus is established, and multi-source sensor data and an operation and maintenance text log are fused; performing event extraction by adopting a template constraint Transform-BiGRU double-layer coding framework, and correcting the confidence coefficient of the event in combination with physical verification; and constructing a dynamic cause and effect graph under the constraint of a hard physical rule, calculating an effect quantity sorting root cause through intervention simulation, and finally generating a diagnosis report and realizing online iteration of the model. According to the method, the problems of insufficient timeliness, limited event screening precision and lack of credible physical support of an interpretation chain in the prior art are solved, and the root cause of oil loss abnormity can be accurately and traceably judged in real time.

The utility model discloses gas-liquid ratio detection equipment suitable for an oil gas recovery system of a gas station, and relates to the technical field of gas-liquid ratio detection of oil gas recovery systems, and the gas-liquid ratio detection equipment comprises a first three-way pipe, a first detection valve and a movable gas flow detector. And the first three-way pipe is arranged on a recovery header pipe of the oil gas recovery system. A first port of the first detection valve is connected with the first three-way pipe, and a second port of the first detection valve is connected with the movable gas flow detector. The movable gas flow detector comprises a gas flow meter, a connector and two connecting pipes. And two ports of the gas flowmeter are respectively connected with the two connecting pipes through connectors. The ends, away from the gas flow meter, of the two connecting pipes are connected with the first detection valve and a detection valve of the oil gas recovery system respectively. Compared with a traditional method for judging the operation state of the oil gas recovery equipment by relying on representation, the equipment can provide a more accurate and more reliable monitoring result.

Systems and techniques may generally be used to integrate automated teller machine (ATM) functions into one or more fuel pumps at a gas station. An example system may include a media transfer slot and a display screen to present a fuel pump prompt and an automated teller machine (ATM) prompt. The example system may cause a fuel to be dispensed when the fuel pump prompt is selected. The example system may cause the media transfer slot to activate when the ATM prompt is selected.

The utility model discloses an oil gas recovery device for a gas station, and relates to the technical field of oil gas recovery devices, in particular to the oil gas recovery device for the gas station, which comprises an oil gun shell, a fixing device fixedly connected inside the oil gun shell, and an oil gun head fixedly connected inside the oil gun shell. And one side of the oil gun shell is fixedly connected with an air extractor. According to the oil gas recovery device for the gas station, through the arrangement of the supporting plate, the oil gas recovery device for the gas station has the effects that the structure is more stable, and meanwhile the service life of the device is prolonged; in the using process, oil gas in the oil tank can be extracted through the conical extraction opening in the oiling process, so that the effect of extracting and recycling the oil gas more conveniently and rapidly is achieved, and the purposes of being convenient and rapid to operate, simple in structure and high in practicability are achieved.

An operation panel for performing a refueling operation incorporated in a fuel dispenser body at a gas station. The part of the operation panel represented by the solid line is where a card insertion part for prepaid cards, credit cards, etc. is arranged, which has a card insertion port with a card insertion port that is turned up at the lower end and covered with a flap pivotally supported at the upper end. The flap has a card insertion port composed of a notch at the lower end and a visor formed thereon with both ends curved upward. When inserting a card, the flap can be opened by inserting the tip of the card into the insertion port from the insertion port with only one hand holding the card, so that the card can be smoothly inserted into the insertion port.

The utility model discloses a gas station cornice with a supporting structure, and relates to the technical field of gas station cornice supporting, the gas station cornice comprises a supporting assembly arranged on the outer wall of a ceiling body, the front end and the two sides of the ceiling body are fixedly provided with display label bodies through mounting bolts, and the supporting assembly comprises a bottom supporting frame and an upper guide plate. The bottom supporting frame is fixedly connected and installed at the bottom end of the ceiling body, through the supporting assembly, secondary supporting and reinforcing can be conveniently conducted on the display label body, the installation stability can be conveniently improved, most dust can be conveniently flushed down, and it is avoided that the dust directly flows down to pollute the ground; the problems that when a ceiling cornice of a traditional gas station is used, various advertisements or logos are exposed outside for a long time, a large amount of dust is prone to being accumulated, watching of people is affected, the cornice is high and difficult to clean, meanwhile, supporting measures are lacked at the cornice, and when a display sign is detached or not completely fixed, the display sign is prone to falling directly due to accidental slipping out of the hand are solved.

The invention provides a refined oil product scheduling optimization method based on multi-agent reinforcement learning, and belongs to the technical field of refined oil product secondary logistics distribution. Modeling a product oil dynamic scheduling optimization problem into a process based on constrained Markov decision; independent agents are deployed in each gas station and each oil depot, and an agent interaction framework is constructed; the gas station agent generates a delivery order through a near-end strategy optimization method in combination with a hierarchical action space and risk constraint by taking minimization of delivery cost as a target and taking avoidance of empty warehouse and explosion warehouse as safety constraint conditions; all the delivery orders serve as initial delivery schemes and are sent to an oil depot agent; the oil depot agent optimizes the single-warehouse order in the preliminary distribution scheme through a tabu search method, and updates the distribution scheme; and the oil depot distributes the product oil based on the updated distribution scheme. According to the method, a flexible, efficient and safe scheme is provided for gas station replenishment in a dynamic environment, the inventory management efficiency is improved, and the operation cost and risk are reduced.

The invention relates to the technical field of product oil retail, and provides a product oil retail system, which comprises an on-site service terminal deployed in a gas station site, a gas station management node arranged locally, a cloud data server connected remotely and a user mobile terminal, the field service terminal integrates an oiling machine, a payment terminal and a vehicle identification and environment monitoring module, executes oiling operation and collects data; the gas station management node gathers and processes data to realize inventory, sales and safety monitoring; the cloud data server aggregates multi-station data and is equipped with an energy efficiency evaluation module, a replenishment decision module, a data analysis module and a member management module. The system has the advantages that by constructing the field service terminal, the gas station management node and the cloud data server, the problem of data islands existing in a traditional system is effectively solved, and inventory dynamic early warning, accurate sales prediction, multi-mode payment, member management and three-dimensional safety monitoring are achieved; and the operation efficiency, the energy utilization rate and the user experience are remarkably improved.

A remote support system for multiple geographically dispersed fueling sites comprises a remote computing resource in operative communication with the fueling sites, the remote computing resource having a machine learning supervisor and a plurality of machine learning workers, the workers each having an area of responsibility. The machine learning supervisor is operative to: (a) receive a query from a user regarding a condition at a respective one of the fueling sites; (b) process the query to identify a topic of the query; (c) based on the topic, select one or more of the workers to have responsibility for collecting information in response to the query; (d) receive the information in response to the query from the one or more workers; and (e) provide the response to the query to the user. Each of the machine learning workers is operative to: (a) when the topic falls at least in part in the worker's area of responsibility, receive a request based on the query to gather information responsive to the topic; (b) collect and curate the information responsive to the topic; and (c) provide the information responsive to the topic to the supervisor.

1. The name of the design product: the main body of the lighting fixture. 2. The use of the design product: the main body of the lighting fixture for outdoor canopy (such as gas station canopy). 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: design 1 perspective view 1. 5. Design 1 is designated as the basic design. 6. Other circumstances that need to be explained: the design protected is a partial design, and the dotted line represents the part not claimed; the design 2 design product is of indefinite length, and the length is omitted.

The utility model belongs to the technical field of cleaning devices, and particularly relates to a movable long arm type cleaning device which comprises a base and a supporting bottom, a water pump is arranged at the upper end of the base, a cleaning rod is arranged at the upper end of the water pump, a water tank is arranged at the upper end of the base, and a water outlet pipe is fixedly connected to the front face of the water tank. A water inlet pipe is inserted into the outer side of the water outlet pipe, the water inlet pipe is fixedly connected with the water pump, a power box is arranged on the base, a fixing block is fixedly connected to the front face of the water tank, and a limiting sleeve is rotationally connected to the outer side of the fixing block. According to the gas station awning cleaning device, the base, the cleaning rod, the universal wheels and other components are arranged, the base can drive the cleaning rod to clean the gas station awning, the air cylinder, the movable base and other components are arranged, the height of the base can be adjusted, and therefore the cleaning rod can better clean the gas station awning.

The utility model discloses an anti-explosion air conditioning device for a skid-mounted gas station, which comprises an anti-explosion storage tank, the anti-explosion storage tank comprises a tank body, the surface of the tank body is sleeved with an anti-explosion mechanism, and the anti-explosion mechanism comprises a cooling part and an anti-static part which are sleeved on the surface of the tank body; the cooling part comprises a snakelike condensation pipe fixedly arranged on the surface of the tank body in a sleeving mode, the liquid outlet end of the bottom of the snakelike condensation pipe is fixedly connected with a liquid outlet pipe, and the end, away from the snakelike condensation pipe, of the liquid outlet pipe is fixedly connected with the liquid inlet end of circulating refrigeration equipment. The device has the advantages of efficient cooling and good anti-static effect, and solves the problems that the local cooling effect is poor and the ideal cooling effect is possibly difficult to achieve due to the fact that the air volume provided by the compressor in the device is possibly insufficient to cover the whole surface of the storage tank; and the problems that a corresponding anti-static mechanism is lacked, sparks are possibly caused, then surrounding combustible gas or liquid is ignited, and fire disasters or explosions are caused are solved.

A covering device for a filling station has at least one container transfer housing that forms an accommodating space configured to accommodate a container transfer unit of the filling station, which projects from a closed filling space of the filling station. The container transfer housing has at least one transfer opening for passage of the container into and / or out of the accommodating space. The covering device further includes at least one covering which closes the transfer opening in at last one operation state of the covering. The covering is supported movably at the container transfer housing. The covering device further includes at least one cleaning unit arranged within the container transfer housing and is configured, when the transfer opening is closed by the covering, for an automated cleaning of the accommodating space, and includes at least one sensor element for a detection of at least one position of the covering.

The invention provides a mobile refueling metering verification tool car, which relates to the technical field of petrochemical metering verification, and comprises a refueling metering verification unit, a safety unit, a mobile support unit, a metering mechanism, a storage mechanism, a flame arrester, a static elimination mechanism, a support mechanism and a lifting mechanism. The metering barrel and the storage barrel are arranged up and down, so that the integrated operation of primary verification, temporary storage and secondary detection of the oil product is realized; the static electricity eliminating mechanism can guide static electricity and stray current into the ground, the flame arrester prevents flames from entering and prevents oil gas from tempering, and the anti-explosion safety is improved; the bottom is matched with a foot jack through scissor fork lifting, the height can be accurately adjusted to align with the oil gun, and mobile verification is achieved through cooperation with wheels. A traditional independent metering barrel is replaced, manual repeated carrying is not needed, leakage and collision are reduced, operation is easy and convenient, safety and reliability are achieved, the metering self-checking efficiency and operation safety of the oiling machine of the gas station are greatly improved, and the metering barrel is suitable for daily metering checking scenes of the gas station.

The utility model relates to an elevator hydraulic station automatic oiling and low liquid level alarm device which comprises a hydraulic station oil tank and a centralized gas station, an oil pump is arranged at the centralized gas station and communicated with the hydraulic station oil tank through a pipeline, and a transparent oil window is arranged on one side of the hydraulic station oil tank and communicated with the hydraulic station oil tank through a pipeline. The automatic oiling and low-liquid-level alarm device comprises a transparent oil window, a first liquid level sensor and a second liquid level sensor are installed on the transparent oil window, the first liquid level sensor is arranged above the second liquid level sensor, and the automatic oiling and low-liquid-level alarm device of the elevator hydraulic station further comprises a controller. The controller is electrically connected with the first liquid level sensor, the second liquid level sensor and the oil pump. Therefore, the automatic oiling function of the device can ensure that the hydraulic station is always kept at a proper oil level, and abrasion caused by poor lubrication of hydraulic components due to insufficient oil is avoided. Normal operation of the hydraulic station can be guaranteed, oil waste can be prevented, and the resource utilization efficiency is improved.

A system includes a gas monitor including a gas sensing element, a wireless communication interface, and a sensor calibration including an operability calibration. The system also includes a gas station comprising at least one gas monitor physical interface and a wireless communication interface and a data manager comprising a wireless communication interface and an external communication interface, and configured to implement external communications between a remote device and the gas monitor, and between the remote device and the gas station. At least one of the gas station or the data manager is configured to update the sensor calibration to a monitoring calibration.

1. Name of the product in this design: Metering screen (for gas stations). 2. Purpose of this design: For use in gas station metering displays. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

The invention discloses an environment-friendly and energy-saving gas station cornice signboard, which belongs to the technical field of gas station facilities and comprises a signboard frame, a lighting mechanism and a power storage mechanism are assembled in the middle of one side wall of the signboard frame, the lighting mechanism is far away from the signboard frame, the power storage mechanism is close to the signboard frame, and a photoelectric conversion mechanism is assembled on the upper side of the same side wall of the signboard frame. A self-checking mechanism is assembled between the photoelectric conversion mechanism and the signboard frame, a signboard is arranged on the same side of the signboard frame, a moving driving mechanism is assembled between the signboard and the signboard frame, and a follow-up lifting driving mechanism is assembled between the photoelectric conversion mechanism and the moving driving mechanism; the photoelectric conversion mechanism and the electricity storage mechanism are arranged, light energy can be converted into electric energy to be stored in the energy storage mechanism for power supply and illumination of the illumination mechanism, dependence on the electric energy of a gas station power supply system is reduced, and the energy-saving and environment-friendly performance is improved.