231results about How to "Reduce accidents" patented technology

The invention discloses a coal mine heat energy monitoring and cooling regulation and control method based on the Internet of Things, and relates to the technical field of coal mine heat energy monitoring and cooling regulation and control. The collected temperature data are transmitted to a central monitoring system in real time through an Internet of Things gateway; redundant temperature sensors are arranged at key positions, and data of the temperature sensors in the same area are regularly compared and verified. According to the invention, the monitoring robustness is improved through a redundant temperature sensor and a data fusion algorithm, a monitoring blind area caused by a single-point fault is avoided, and the accident risk is reduced; a self-adaptive learning algorithm is adopted to dynamically optimize a detection threshold value and a compensation strategy, so that the anomaly detection accuracy is improved, and false alarms and missing alarms are reduced; the temperature trend is pre-judged through a predictive control algorithm, cooling is conducted in advance, balance between safety and energy efficiency is achieved, overheating accidents are prevented, and energy consumption is reduced.

The invention relates to the related field of photovoltaic construction, in particular to a photovoltaic construction management system, which comprehensively analyzes video data and environmental sensor data, improves the accuracy and reliability of the monitoring effect, and can effectively reduce the blind area and false alarm rate of a single data source through the fusion of multi-modal data. According to the invention, a genetic algorithm and a decision tree algorithm are integrated, so that the system has strong learning ability, and the system can be continuously self-optimized according to historical data and operation logic to gradually adapt to different construction environments and working conditions; through regular updating and model training, the system can continuously improve the monitoring precision and the safety management level, and it is ensured that an efficient and stable operation state is always kept in long-term use; an analysis result is displayed through a visual platform, accurate defect positions and severity degree marks are provided, a detailed detection report can be automatically generated, long-term monitoring and data comparison are supported, and powerful technical support is provided for construction quality guarantee.

The invention discloses an intelligent vehicle-mounted application adjusting method and system based on a driving scene, and relates to the field of vehicle-mounted application, and the method comprises the steps: obtaining current real-time driving data, current external environment information and current position information, and matching a user behavior mode of a current vehicle in a preset behavior mode database according to the current real-time driving data, identifying a driving scene of a current vehicle according to the current external environment information and the current position information, and predicting an information type and a presentation mode required by a current driver according to the user behavior mode and the driving scene, and determining an information presentation mode and information presentation time in a preset application database according to the information type and the presentation mode, and presenting all the vehicle-mounted applications according to the information presentation mode and the information presentation time, and by implementing the method, the driving experience of a driver can be improved in a complex driving scene.

The invention relates to the technical field of dangerous goods storage, and discloses a data twinborn early warning system and method for a dangerous goods storage area. The model establishing module is configured to establish a data twinborn model of the storage area according to the image information; the acquisition module is configured to acquire the environment information and the dangerous goods information of the storage area and display the information on the data twinborn model; the environment evaluation module is configured to obtain an environment evaluation value according to the temperature information and the humidity information and adjust the environment evaluation value according to the change value amplitude; the dangerous goods evaluation module is configured to obtain a dangerous goods evaluation value according to the complete state of the dangerous goods and adjust the dangerous goods evaluation value according to the gas leakage information; and the early warning module is configured to judge the early warning level of the storage area according to the comprehensive evaluation value and perform early warning. Storage of dangerous goods is monitored in multiple aspects, and the safety of storage materials is effectively evaluated.

The invention provides a model-based battery thermal runaway early warning system and method, and the method comprises the following steps: S1, building an electrochemical-thermal and electrochemical-expansive force coupling model, and obtaining a temperature change curve, a temperature rise rate curve, a voltage curve and an expansive force curve of a battery under different working conditions; s2, establishing a thermal runaway-expansive force coupling model, and obtaining a time-temperature curve, a time-temperature rise rate curve, a time-expansive force curve and a time-expansive force change rate curve of the battery in a thermal runaway stage; s3, determining a multistage safety threshold Xt of the battery according to the curves obtained in the step S1 and the step S2; and S4, carrying out battery thermal runaway early warning according to the battery working safety threshold Xt in the step S3. According to the invention, the accuracy and timeliness of lithium ion battery thermal runaway early warning can be improved.

The invention provides a substation environment monitoring inspection control system and method, and relates to the technical field of power system monitoring. Comprising a holographic sensing subsystem and a data fusion control subsystem. The holographic sensing subsystem collects substation environment and equipment state data in real time and comprises a non-contact optical fiber sensor, a temperature and humidity sensor, a gas concentration sensor, an infrared camera, an ultraviolet camera, a visible light camera and a millimeter wave radar. The data fusion control subsystem carries out redundancy elimination, complementation and standardization processing on collected data, the intelligent analysis module carries out state analysis and fault prediction based on fused data, and the control instruction generation module generates an emergency control instruction according to an analysis result to realize closed-loop feedback control; the system improves the monitoring accuracy and response speed of the transformer substation through multi-sensor data fusion and intelligent analysis.

The invention relates to the technical field of intelligent chemical engineering, and discloses an intelligent chemical engineering construction safety and quality detection method based on big data, and the method comprises the following steps: 1, installing a monitor and a sensor; step 2, intelligent analysis; step 3, predictive maintenance; step 4, risk assessment; step 5, quality control; step 6, safety management; 7, accident prevention; 8, remote real-time management is carried out; step 9, decision support; step 10, intelligent reporting; and step 11, displaying an interface. According to the intelligent chemical engineering site construction safety and quality detection method and system based on big data, through real-time monitoring and risk assessment, the intelligent chemical engineering site system can improve the safety management level of a construction site and reduce accidents, and the system can predict potential safety risks and take measures to avoid the potential safety risks by utilizing predictive maintenance and accident prevention technologies; and by using big data and an intelligent optimization algorithm, the resource allocation and the construction process are optimized, and the construction efficiency is improved.

The invention provides an intelligent fully-mechanized coal mining electromechanical equipment cooperative control system, and relates to the field of coal mining. The intelligent fully-mechanized coal mine electromechanical equipment cooperative control system comprises a data acquisition module which is used for acquiring operation state data of all electromechanical equipment in a fully-mechanized coal mine in real time; the data processing and analyzing module is used for processing and analyzing the collected data in real time and identifying the running state and potential problems of the equipment; the cooperative control module is used for intelligently adjusting operation parameters of the electromechanical equipment according to an output result of the data processing and analyzing module, so that cooperative work among the equipment is realized; and the safety monitoring module monitors the running state of the equipment in real time, and immediately starts safety protection measures once an abnormal condition is found. The system can detect abnormal conditions in operation of the equipment in real time and give an alarm in time, so that the possibility of accidents is reduced, and when security threats are detected, the system can automatically execute preset emergency response measures.

The invention relates to the technical field of power industrial control network asset management, in particular to a power industrial control network security-oriented asset dynamic digital fingerprint construction system, which comprises a data acquisition module, a first determination module, a second determination module, an identification module, an adjustment module and a construction module. Through accurate multi-level data acquisition, behavior analysis and threshold adjustment, the security of an electric power industrial control network is remarkably improved, the system can acquire key behavior data of equipment in real time, such as the number of bytes of a data packet, the memory utilization rate and the number of login failures, and normal equipment and abnormal equipment are accurately identified through multi-stage screening, so that the security of the electric power industrial control network is improved. The system flexibly deals with the dynamic change of the equipment behavior by adjusting the byte number fluctuation threshold value, ensures the high efficiency and accuracy of the safety detection, and effectively solves the problems that the system cannot adapt to the network asset change and cannot identify the abnormal equipment in real time due to the dependence on a static fingerprint database and a fixed similarity threshold value.

The invention provides a traffic light passing calculation method and system based on the Internet of Things. The method comprises the following steps: receiving a real-time data stream from an Internet of Things intelligent sensor network, and carrying out space-time consistency processing through a high-precision space-time synchronization technology to generate a traffic condition dynamic panorama; a causal inference algorithm is used for inferring a causal relationship, direct and indirect influence paths are calculated, a space-time sequence modeling technology is used for capturing space-time characteristics, a time-varying rule is simulated, and a future traffic state estimation model is generated; an evolutionary strategy optimization algorithm is used to simulate a natural evolutionary process, an optimal traffic light switching strategy is searched, a multi-objective optimization technology is used to consider a mutual exclusion objective, constraint conditions are introduced to carry out comprehensive evaluation, and a traffic light switching strategy evaluation result is generated; a feedback circulation mechanism is introduced, a model operation result is collected in real time, an adaptability improvement report is automatically formed, and a traffic light passing calculation scheme is generated. According to the technical scheme provided by the invention, the traffic light passing calculation efficiency is remarkably improved.

The invention belongs to the technical field of underground engineering supporting, and particularly discloses a shear-resistant variable-resistance yielding anchor rod capable of measuring pretightening force and a using method thereof.The shear-resistant variable-resistance yielding anchor rod is provided with an anchor rod body, the anchor rod body comprises a head section, a middle standard section and a tail section which are sequentially connected, the head section comprises a head end rod body, the head end rod body is provided with a piston head, and the piston head is sleeved with a sleeve; the sleeve and the piston head form a piston structure. A piston cylinder structure is arranged on the middle standard section and is used for adapting to shear deformation caused by dislocation and slippage deformation of a rock stratum. The tail section comprises a first rod body and a second rod body, the tail end of the second rod body is arranged in the first rod body in a penetrating mode along the rod length of the first rod body, connected with the elastic piece and capable of sliding in the rod length direction of the first rod body, and the tail end of the second rod body is provided with an outer extension and capable of feeding back deformation of the elastic piece. The problem that a common anchor rod cannot meet the requirement for large deformation of surrounding rock is solved, the problem that an existing anchor rod is prone to being cut off under transverse displacement of a rock stratum is solved, and meanwhile the pretightening force can be measured.

The utility model relates to the technical field of engine oil filter elements, in particular to a filter element drawing tool, which comprises a supporting platform, a drawing mechanism, a drawing mechanism, a drawing mechanism, a drawing mechanism, a drawing mechanism, a drawing mechanism, a drawing mechanism, a drawing mechanism and a drawing mechanism, and is characterized in that the supporting platform is arranged on a step of a filter element cavity; the hand wheel is arranged on the cross rod, and a hand rod of the hand wheel penetrates through the through hole; the positioning drag hook is arranged at the end, away from the transverse rod, of the hand rod, and a bent part is arranged at the bottom end; wherein the hand lever moves in the vertical direction; and the bent part is used for penetrating through a connecting hole in the filter element. According to the utility model, the filter element drawing tool is used, so that the replacement of the filter element is simpler and quicker, and the working efficiency is improved; the firm connection of the positioning drag hook and the filter element ensures the stability and safety in the dismounting process, and reduces the occurrence of accidents; the stability of the supporting platform ensures that the tool does not shake or slide during working, and the accuracy and reliability of operation are improved; and the rotating operation of the hand wheel enables the disassembly to be more labor-saving, and the labor intensity of operators is reduced.

The invention provides a drill rod screwing-on and screwing-off control system and a drill rod screwing-on and screwing-off control method. The drill rod screwing-on and screwing-off control system comprises a driving motor, a hydraulic pump, a hydraulic oil tank, a first speed regulating valve, a proportional reversing valve, a hydraulic control reversing valve, a rotary pipeline, a feeding and pulling pipeline, a communicating pipeline, a drill rod rotary assembly and a feeding and pulling assembly. When the proportional reversing valve controls the hydraulic rotary motor to rotate forwards, the hydraulic control reversing valve controls the push-pull oil cylinder to feed the drill rod; when the proportional reversing valve controls the hydraulic rotary motor to rotate reversely, the hydraulic control reversing valve controls the push-pull oil cylinder to pull the drill rod; the driving motor, the hydraulic pump, the first speed regulating valve, the drill rod rotating assembly and other assemblies are arranged to work in a matched mode, automatic control over the screwing-on and screwing-off processes of the drill rod is achieved, and the efficiency of the screwing-on and screwing-off processes of the drill rod is improved; the problems that in the screwing-on and screwing-off processes of the drill rod, screw threads are seriously abraded, and the execution failure rate of the screwing-on and screwing-off processes is high are well solved.

The invention discloses a live binding tool, and relates to the technical field of power maintenance, the live binding tool comprises an insulating operating rod, a connecting column, a binding unit, a locking unit and a binding plate, the connecting column is installed at one end of the insulating operating rod and is used for controlling the binding unit and the locking unit; the binding unit is installed on a binding plate and used for fixing the binding plate to a porcelain bottle. And the locking unit is mounted on the binding plate and is used for fixing the wire on the porcelain bottle. Binding operation can be carried out under the condition that a power source is not cut off, the situations that power supply continuity is affected, inconvenience is brought to a user, and economic losses are caused are avoided, and the operation efficiency is greatly improved.

A high-altitude operation construction vehicle with hoisting and cross arm assisting functions comprises a crane system, a caterpillar band chassis, a swing mechanism, a telescopic arm, a fly arm, a quick change device, a working platform and a cross arm assisting tool, the swing mechanism is installed on the caterpillar band chassis, the fixed end of the telescopic arm is hinged to the swing mechanism, the crane system is installed on the telescopic arm, and the fly arm is installed on the cross arm assisting tool. The flying arm is installed on the telescopic arm through a conversion device, the flying arm can be converted between a storage state and a working state through the conversion device, the flying arm is fixed to the fixed end of the telescopic arm in the storage state, the flying arm is fixed to the telescopic end of the telescopic arm in the working state, and the working platform is detachably connected with the flying arm through a quick change device. The cross arm auxiliary tool is installed on the working platform. The crane can be used as a crane and can also be connected with the working platform through the fly jib, and the cross arm is mounted through the cross arm auxiliary tool on the working platform, so that the operation intensity and risk of workers are greatly reduced, and the construction cost is reduced.

The invention relates to a virtual space boundary early warning method, which comprises the following steps of: 1, defining a virtual boundary by taking an electric power facility as a center; 2, tracking the position of the monitored object in the monitored area; 3, based on a boundary detection algorithm, the shortest distance between the monitored object and the virtual boundary is judged; and step 4, performing early warning and warning for the shortest distance between the monitored object and the virtual boundary. According to the invention, through real-time monitoring, intelligent analysis and rapid response, a layer of additional safety guarantee is provided for operation and maintenance of electric power facilities, human errors and accidents are reduced, and stable operation of an electric power system and life safety of personnel are ensured.

The invention relates to a multi-scene safety production supervision method, system and device based on intelligent positioning. The method comprises the steps that operation and maintenance monitoring is carried out on an application corresponding to each production scene through an enterprise side safety production risk monitoring and early warning subsystem, and production related information is acquired. Different source data in the production related information are integrally processed, a standard data set is generated, a label is added to each piece of source data in the standard data set, and a labeled data set is obtained. And constructing a safety production monitoring model according to the danger attributes, and inputting the labeled data set as a sample data set into the safety production monitoring model for optimization training to obtain an optimized safety production monitoring model. And deploying the optimized safety production monitoring model to the edge computing device in a distributed manner, so that the operation and maintenance monitoring subsystem carries out supervision processing according to the position information transmitted by the personnel positioning system and the production process information. By adopting the method, the real-time performance and accuracy of production safety monitoring in the dangerous chemical environment can be improved.

The invention relates to a hydrogen transport flexible pipeline and a hydrogen leakage detection method, the hydrogen transport flexible pipeline comprises a lining layer, an airtight layer, a fiber reinforced layer and an outer protective layer, the lining layer, the airtight layer, the fiber reinforced layer and the outer protective layer are all cylinder structures, the lining layer is made of a non-metal thermoplastic resin material, and the outer protective layer is made of a non-metal thermoplastic resin material. The airtight layer is composed of a graphene / aluminum oxide hydrogen-resistant coating and a metal aluminum layer, the fiber-reinforced layer is made of a non-metal high-strength fiber composite material, the outer protective layer is made of a non-metal thermoplastic resin material, and the fiber-reinforced layer comprises a fiber-reinforced inner layer and a fiber-reinforced outer layer; an airtight layer is wound on the outer side of the lining layer, a fiber reinforced inner layer is wound on the outer side of the airtight layer in the forward direction, a fiber reinforced outer layer is wound on the outer side of the fiber reinforced inner layer in the reverse direction, and an outer protection layer is arranged on the outer side of the fiber reinforced outer layer; a monitoring element is arranged in the outer protection layer and used for monitoring the hydrogen concentration change or the resistance change of the outer protection layer in real time, and the hydrogen protection device can be widely applied to the technical field of new energy development.

The invention provides a vehicle motor control method and device, a vehicle and a storage medium, the method is applied to the technical field of motor control, and the method comprises the steps that the rotation period of a steering actuator motor and output current change information of the steering actuator motor are obtained; determining a duty ratio based on the rotation period and the output current change information; generating a pulse width modulation (PWM) signal based on the duty ratio and the rotation period; and adjusting the torque of the road sensing motor based on the PWM signal. The method can improve the reliability and safety of vehicle driving.

The utility model relates to the field of electronic auxiliary equipment, and discloses an anti-loosening electronic connector, which comprises a fixed connector, the fixed connector is slidably connected with a movable connector, the left side of the outer wall of the movable connector is provided with a notch, the fixed connector is internally provided with a plug, and the plug is connected with the movable connector. Springs are arranged on the inner walls of the left side and the right side of the fixed connector, fixed blocks are fixedly connected to the sides, close to each other, of the two springs, square rods are fixedly connected to the tops of the fixed blocks, supporting columns are slidably connected to the interiors of the hole grooves, and square grooves are formed in the inner walls of the tops of the fixed connectors. And a sealing assembly is arranged on the outer wall of the fixed connector. According to the utility model, effective anti-loosening treatment is carried out on the electronic connector, and the anti-loosening device can effectively prevent articles or parts from accidentally falling off, so that the possibility of accidents is reduced, and the use safety is improved.

The invention provides a piloting method and system based on an AI fool-proof technology, and relates to the technical field of intelligent auxiliary driving piloting. Driving environment data, driver state data and current operation behavior sequence data of a driver are obtained and processed in real time; a deep learning model is used for environment perception scoring, driver fatigue degree scoring, driving behavior mode scoring and future driving operation intention prediction, a real-time risk score is calculated based on the scores, a corresponding fool-proof strategy is executed, and the driving safety and reliability can be remarkably improved through the method. Through multi-modal data fusion and a cross-modal attention mechanism, the accuracy and robustness of environment perception are improved, so that the system can make more accurate judgment in a complex and changeable driving environment.

The invention discloses a forklift type AGV (automatic guided vehicle) stacking mechanism, and relates to the technical field of automatic guided vehicles, the forklift type AGV stacking mechanism comprises a balance vehicle, and a circular groove is formed in the balance vehicle; a driving device is arranged in the balance car, universal wheels are rotatably arranged at the output end of the driving device, a hydraulic cylinder is fixedly installed at the bottom of the inner wall of the circular groove, the rotating shaft is fixedly installed at the top of the output end of the hydraulic cylinder, the disc is rotatably installed at the top of the rotating shaft, and the supporting disc is fixedly installed at the top of the disc. The hollow cylinder is fixedly installed at the bottom of the supporting disc, the sliding rod is slidably installed on the inner wall of the hollow cylinder, and the suction cup is fixedly installed at the bottom of the hollow cylinder, so that the supporting disc cannot rotate, the balance car rotates, but goods on the top cannot rotate, and the goods are prevented from inclining due to the too large rotating angle during steering; and therefore, the stability during transportation is improved.

The invention relates to the technical field of riding wearable equipment, and discloses a riding direction sensing method, system and helmet based on voice control instruction recognition, and the method comprises the steps: receiving a voice instruction of a rider through an embedded voice recognition module; the head motion sensing module detects and analyzes the motion trail and posture change of the head of a rider, monitors the orientation, rotation speed and head motion state of the head of the rider in real time, and senses and obtains head motion data of the head of the rider in real time; acquiring environment sensing data in real time through the environment sensing module, and feeding back the environment sensing data to the cloud navigation processing system; the cloud navigation processing system receives the voice instruction, the head motion data and the environment perception data for fusion processing, and calculates the current position, the driving direction and the target route of the rider; and the cloud navigation processing system generates a corresponding voice navigation instruction and feeds back a riding route planned in real time to the rider through the audio playing module, so that safer and more convenient riding experience is realized.

A transformer bushing system with a self-diagnosis function comprises A-phase, B-phase and C-phase capacitive bushings with the same voltage class, a secondary capacitive voltage divider and a voltage summary signal box, wherein the secondary capacitive voltage divider and the voltage summary signal box are matched with each other. The transformer bushing system is used as complete equipment in a combined manner during operation. Compared with three-phase bushings of the same voltage level, the three-phase bushings of the same voltage level are not instantaneous voltages, but are compared by firstly monitoring an effective voltage mean value of the three-phase voltages within a certain time and then comparing, and when a certain phase is obviously increased, an early warning signal is sent out. The dry-type bushing suitable for the capacitive insulation structure comprises an RIP sleeve, an RIS sleeve and the like, two measuring taps are arranged at the positions, close to the grounding position, of the bushing, the part led out from the outermost layer is always grounded during operation, the part led out from the secondary end screen is connected with a voltage acquisition input port of a capacitive voltage divider, and the risk that the end screen is out of the ground during operation of the bushing is avoided.

The invention discloses a driving environment sensing method for an automatic driving vehicle, and particularly relates to the technical field of automatic driving vehicles. Signal-to-noise ratio abnormal information of laser signals received by a laser radar, processing complexity information of images shot by a camera and fusion information of a data fusion engine are acquired; according to the method, an emergency braking misjudgment risk assessment model is constructed, the misjudgment risk possibly existing in the current emergency braking process is quantified, a reliable reference basis is provided for automatic driving control of the vehicle, potential risks are predicted in advance, misjudgment caused by sensing system abnormity or inaccurate data fusion is prevented, the overall safety of automatic driving is improved, and the safety of the vehicle is improved. When the potential misjudgment risk exists in emergency braking of the automatic driving vehicle, potential misjudgment risk fluctuation information and tire attachment information existing in emergency braking of the automatic driving vehicle are obtained, a BP neural network is constructed to conduct intelligent regulation and control on the current emergency braking behavior, and accidents caused by braking failure or inconsistency are effectively reduced.

The invention provides a socket disc buckle type scaffold pressure monitoring device and a use method thereof.The socket disc buckle type scaffold pressure monitoring device comprises a plurality of pressure monitoring units, the pressure monitoring units are arranged between upper vertical rod sections and corresponding lower vertical rod sections, and each pressure monitoring unit comprises an upper panel, a lower bottom plate, a pressure sensor and a data acquisition and transmission device used for being externally connected with a cloud server; the upper panel is arranged at the top of a lower vertical rod section of the scaffold, the lower bottom plate is arranged at the top of the lower vertical rod section of the scaffold, the pressure sensor is arranged between the upper panel and the lower bottom plate, the data acquisition and transmission device is arranged on the lower bottom plate, and the data acquisition and transmission device is connected with the pressure sensor. Therefore, the stress condition of the corresponding lower vertical rod section is monitored, a series of problems caused by manual monitoring and construction operation errors of a traditional scaffold are solved, the problems of unreasonable structural system stress such as excessive loading and system design defects are found in time, and automatic monitoring of the pressure of the socket type ring lock type scaffold vertical rod is achieved.

Example embodiments relate to devices, systems, and methods related to a three-dimensional time-of-flight / visible image sensor. Example embodiments include an apparatus that includes a plurality of time-of-flight sensor (ToF) pixels and a plurality of visible image sensor (VIS) pixels. The apparatus also includes a ToF communication channel configured to provide ToF image data indicative of one or more ToF pixels, and a VIS communication channel configured to provide VIS image data indicative of one or more VIS pixels. The plurality of ToF pixels and the plurality of VIS pixels are arranged along a plane. The plurality of ToF pixels are disposed in an arrangement between the plurality of VIS pixels.

The invention discloses a real-time monitoring method and system for the operation state of an operator, and the method comprises the steps: carrying out the real-time evaluation calculation of the operation environment and physical state of the operator during operation, obtaining the evaluation values of the operation environment and physical state of the operator, calculating the operation risk value of the operator during operation, and carrying out the real-time evaluation calculation of the operation environment and physical state of the operator. The method not only considers the identity qualification of the operator and the wearing condition of the protective equipment, but also considers the physical condition of the operator during operation and potential risk factors of the operation environment in real time, so that the judgment accuracy of the operation risk is improved, and the safety of the operator is improved. According to the method and the system, the operation risk can be efficiently and accurately judged, the operation personnel can be safely and accurately monitored in real time, so that the occurrence rate of accidents is reduced, and the problem that the operation risk cannot be efficiently and accurately judged in a manual monitoring mode, so that the operation personnel cannot be safely and accurately monitored, and the accident rate is reduced is solved.

The invention belongs to the technical field of equipment detection and early warning, and discloses an equipment detection and early warning system and device.The equipment detection and early warning system comprises the steps that historical data of oil storage equipment are collected; processing the historical data, and analyzing the processed historical data to obtain a risk value of the oil storage equipment; constructing an early warning evaluation model of the oil storage equipment in combination with the historical data and the neural network model, and obtaining an early warning evaluation value of the oil storage equipment by using the early warning evaluation model; calculating a comprehensive hidden danger value of the oil storage equipment based on the risk value and the early warning evaluation value, and judging whether the oil storage equipment has potential safety hazards or not according to the comprehensive hidden danger value; and generating an early warning prompt according to a potential safety hazard judgment result, feeding back the generated early warning prompt to related personnel, and instructing the related personnel to maintain the oil storage equipment. According to the invention, through the risk value and the early warning evaluation value, potential faults or problems can be effectively predicted, early warning is realized, and accidents are reduced.

The invention discloses an auxiliary driving control method and device through a construction road, equipment and a storage medium, and relates to the technical field of intelligent driving, and the method comprises the steps: obtaining cloud construction information and perceived road condition information; performing credibility judgment on the cloud construction information based on the sensed road condition information; when the judgment result is credible, performing collision prediction on the vehicle based on the sensed road condition information and the cloud construction information; and when the collision prediction result is that collision possibly occurs, auxiliary control is performed on the vehicle, and the change of a construction road can be quickly responded, so that accidents are reduced and the driving experience is improved.