35results about How to "Avoid underreporting" patented technology

The invention discloses a one-hole multi-index intelligent rock burst pre-warning system and method for mine and belongs to the technical field of mine monitoring. The system comprises an infrared temperature sensor bracket, an infrared temperature sensor, a first signal conditioner, a second signal conditioner, a third signal conditioner, a fourth signal conditioner, a paperless recorder, an alarm, a drilling device and a drilling cuttings gathering and measuring device. According to the one-hole multi-index intelligent rock burst pre-warning system and method for the mine, four kinds of indexes are simultaneously gathered in the process of drilling one test hole, the pre-warning precision is improved, the safety accidents caused by the rock burst disaster can be reduced, the drilling cuttings weight, drilling cuttings temperature, drill stem torque and drilling cuttings thrust are continuously monitored in real time, and the under-reporting phenomenon of a drilling cuttings method due to effective information omission is avoided; the device is simple in structure and easy to mount, the paperless recorder intelligently displays data, the actual situation can be reflected objectively, the manual operation error is avoided, and the alarm can timely alarm the rock burst danger.

The invention relates to battery thermal runaway detection methods and devices. The method comprises the steps of obtaining voltage detection data of a plurality of voltage detection points in a battery, and a plurality of pieces of temperature detection data of a plurality of temperature detection points in the battery; computing a temperature rising rate of the battery according to the pluralityof pieces of temperature detection data; and judging whether thermal runaway occurs in the battery or not according to the plurality of pieces of voltage detection data, the plurality of pieces of temperature detection data and the temperature rising rate. Through utilization of the technical scheme, the plurality of pieces of voltage detection data and the plurality of pieces of temperature detection data can be obtained according to the plurality of voltage detection points and temperature detection points set in the battery, the temperature rising rate of the battery is computed accordingto the temperature detection data, and whether the thermal runaway occurs in the battery or not is predicted through judgment of three aspects of the voltage detection data, the temperature detectiondata and the temperature rising rate. Through utilization of a multi-condition coupled method, battery thermal runaway and diffusion can be detected relatively timely and precisely under a plurality of working conditions.

The invention provides a construction alert area monitoring and early warning system and method based on image recognition. The system comprises an image input module, an image splicing module, an interactive calibration module, a pedestrian detection module, a visual intrusion module, a feature extraction module, and a decision module. The visual intrusion detection, target detection and re-recognition techniques are combined, and cameras are arranged around a construction alert area or dangerous construction equipment to acquire surrounding environment information and in-out person information in real time, so that an operator can replace an early warning trigger area and operator registration information at any time, and whether a person invasion signal exists in the early warning trigger area or not is updated in real time; and when the person invasion signal exists, activation is carried out, an alarm is given to remind violation personnel to forbid entering the area, and the safety of the construction alert area is guaranteed.

The invention discloses an urban carbon emission intelligent management cloud platform. Carbon emission intelligent management is performed according to the following steps that 1) a regulator side configures information of the industry, regions, emission sources, emission factors, the average low calorific value and greenhouse gases; 2) the regulator side allocates regulated side accounts so that all the regulated sides can access to the cloud platform through the authorized accounts and perform configuration at the regulated sides; thus interrogation of carbon emission is connected with concrete equipment of the regulated sides; and carbon emission measurement information of each set of equipment is calculated through the active data of each equipment and the average low calorific value, the emission factors and the GWP value; and 3) the regulator side and the regulated sides complete configuration in turn and then the regulator side monitors the real-time carbon emission measurement information of the whole or each industry or each region or each regulated side in the monitoring range through a real-time monitoring module; and the regulated sides monitor the carbon emission measurement information of each set of equipment of the regulated sides.

The invention provides a freeway ramp speed-limiting identification method and system, and a vehicle, and relates to the technical field of the vehicle. The freeway ramp speed-limiting identificationmethod comprises the following steps: acquiring a visible speed-limiting sign of a road located by the vehicle; identifying whether the ramp speed-limiting sign is existent in the speed-limiting sign;if the ramp speed-limiting sign is existent in the speed-limiting sign, judging driving intention of a driver; and displaying the speed-limiting information on the ramp speed-limiting sign when judging that the driver has the driving intention of entering the ramp corresponding to the ramp speed-limiting sign. In the identification method and system provided by the invention, the driving intention of the driver is imported, whether the driver has the intention of entering the ramp can be determined by judging the driving intention; if the driver has the intention of entering the ramp, the ramp speed-limiting information is displayed according to the identified ramp speed-limiting sign; and the ramp speed-limited information is not displayed if the driver has no the intention, and the display accuracy rate of the speed-limiting information can be effectively improved.

The invention relates to a passive infrared detection warning device which comprises an optical system, a pyroelectric infrared sensor, a signal processing circuit and a warning circuit. The signal processing circuit comprises a band-pass filter and a signal amplifier. The output end of the pyroelectric infrared sensor is connected with the input end of the band-pass filter and the input end of the band-pass filter is connected with the input end of the signal amplifier. The signal amplifier is connected with the warning circuit. A Fresnel lens is adopted in the optical system and a relay for controlling operation of the warning circuit is further connected between the signal amplifier and the warning circuit. A double-detection-element pyroelectric infrared sensor is adopted in the pyroelectric infrared sensor. An infrared radiation high-sensitivity zone and a blind zone which are alternated can be generated so as to adapt to the feature that pyroelectricity detection elements require a signal to change continuously. Thus, the aim of accurately detecting an intruding person is achieved and false reporting or missed reporting is avoided. The passive infrared detection warning device can warn in time and prevent detaching and damaging and safety coefficients of the passive infrared detection warning device are comprehensively improved.

The invention provides an electromagnetic radiation monitoring early warning method of mine roof water inrush, belonging to a coal mine water disaster monitoring and early warning method. At a selected test point, the effective receiving direction of an electromagnetic radiation receiving antenna is arranged to face a roof area to be monitored, electromagnetic radiation signals are collected for seven days, and the electromagnetic radiation intensity and pulse number change range and change rate are calculated as a standard threshold value. The electromagnetic radiation signals are continuously monitored, according to the electromagnetic radiation intensity value of a monitoring area roof and the size and charge rate of a pulse number, a determination condition of roof water inrush is made, whether the roof has water inrush risk is judged, and thus whether the water inrush disaster is carried out is determined. The method has the advantages of simple operation, low testing cost, high efficiency and convenience.

The invention discloses a method, a system and a device for detecting HTTP protocol asset and a computer medium. The method comprises the following steps: obtaining a destination IP, a destination port, destination Host domain name information and destination URL information in HTTP request; judging whether the destination Host domain name information belongs to registered domain name informationor not; judging whether the destination URL information belongs to registered URL information or not if the destination Host domain name information belongs to the registered domain name information;and recording the destination IP, the destination port, the destination Host domain name information and the destination URL information as unregistered asset information if the destination URL information does not belong to the registered URL information. According to the method for detecting HTTP protocol asset, the situation of omission of report in the method for detecting HTTP protocol assetis avoided by judging whether the destination URL information belongs to the registered URL information or not; through the system and the device for detecting HTTP protocol asset as well as the computer-readable storage medium, the corresponding technical problems are also solved.

The invention discloses a clock detecting method for a wireless communication system, wherein the method comprises following steps: step S102, calculating a first differential value of sending time and receiving time when the system is initialized, step S104, arranging a cycle timer, calculating a second differential value of sending time and receiving time when each timing of the cycle timer achieves setting time, step S106, calculating absolute value of differences between the second differential value and the first differential value as a third differential value, and step S108, comparing the third differential value and a first threshold value, and confirming whether the clock makes mistakes or not according to the compared result. The condition that the clock is false to alarm when in normal or fail to alarm which in abnormal can be avoided through the clock detecting method of the invention, and therefore the corresponding process can be carried out when the clock is in false.

The invention relates to an earthquake forecasting and monitoring device, which comprises a monitoring device body buried underground and a monitoring device positioned on the ground; an earthquake forecasting monitor is arranged in the monitoring device body; the earthquake forecasting monitor consists of a multicontact double engaged switch for monitoring transverse and longitudinal waves and alarm equipment consisting of a resistor and a digital direct-current ammeter, and the bottom in a rectangular body of the earthquake forecasting monitor is provided with a magnet; a large ball is placed on the magnet, and small balls are suspended on two sides above the magnet respectively; the upper part in the rectangular body is provided with a high-speed illumination camera; the lower end outside the rectangular body is provided with the multicontact double engaged switch of a longitudinal wave electronic predictor perpendicular to the earth center; and a pre-shock ball is placed on the lower part of the multicontact double engaged switch. The earthquake forecasting and monitoring device can monitor crustal change in multiple directions, can monitor the change of earthquake transverse waves in the horizontal direction of 360 degrees, and forecast the direction from which the earthquake transverse waves comes, has sensitive action and high accuracy, and can forecast the central position of the earthquake focus.

The invention relates to a security risk state analysis method for a sensing layer of an electric power internet of things, which is characterized by comprising the following steps of: step 1, acquiring and storing related information of all terminal equipment in the sensing layer of the electric power internet of things; step 2, acquiring a plurality of equipment state type tags based on the related information, and judging the security risk of the terminal equipment; step 3, acquiring a network flow abnormal condition and a network access abnormal behavior of the terminal equipment based on a pre-generated network flow feature model and a pre-generated network access behavior feature model; and step 4, displaying the equipment state type information, the security risk information, the network flow abnormal condition information and the network access abnormal behavior information obtained in the step 2 and the step 3 in a classified manner by adopting a visualization method. According to the method, the analysis result is comprehensive and accurate, the analysis process is intelligent and rapid, meanwhile, the good visualization effect is achieved, and the safety degree of the system is improved.

The embodiment of the application provides a message acquisition method and device. The message acquisition method comprises the following steps: starting at least one activation mechanism according to the current state of the client; separately activating network request services in the client according to the at least one activation mechanism when the client is in the current state; and acquiring messages from a server side according to the activated network request services and push services. According to the message acquisition method and device provided by the embodiment of the application, the problem of message report missing caused by pushing the messages independently relying on an APNS can be avoided, and thus the reliability of message delivery can be increased.

The invention provides a residual current detection and correction device, a detection method and an electrical fire monitoring system. The residual current detection and correction device comprises adetector and an upper computer. The data acquisition system is connected to the upper computer, the data acquisition system can be used for detecting and recording correction parameters under the influence of external factors, and the correction system is used for determining correction values according to the correction parameters recorded by the detector under the influence of the external factors; the correction system is connected to a data processing system, the data acquisition system is connected to the data processing system, and the data processing system is used for calculating a residual current actual output value according to a real-time residual current value detected by the data acquisition system and a correction value of the correction system. According to the residual current detection and correction device provided by the invention, the correction parameters acquired by the detector are sent to the upper computer, the correction system calculates a correction valueand feeds back the correction value to the detector, and the detector calculates the residual current actual output value, so that the situations of false alarm and missing alarm are avoided, and thesafety of an electrical fire monitoring system is improved.

The invention discloses a new-type real-time electricity larceny prevention method, comprising the following steps: when a power grid operates normally and no electricity larceny occurs, according to the electricity using information reported by users, developing the theoretical node admittance matrix for the power grid and updating it in real time; during the actual operation of the power grid, scanning the states of the various nodes of the power grid that access the power grid to obtain the self-admittance and the mutual admittance of the various nodes too develop the actual node admittance matrix of the power grid; and comparing the actual node admittance matrix and the theoretical node admittance matrix to see if electricity larceny occurs or not. According to the invention, the node admittance matrix of a power grid in a region is utilized to realize the real-time monitoring of the loads in the region so as to determine whether electricity larceny occurs in the region or not. Since the electricity state comparison method is adopted featuring no numerical calculations, the detection precision is increased greatly; the chances of under-reporting or mis-reporting of electricity larceny can be avoided; in addition, the electricity larceny can be determined according to the network state in a direct manner.

The invention discloses a community intelligent security monitoring system based on the Internet of Things. The community intelligent security monitoring system performs monitoring on the indoors of each household while protecting privacy as much as possible, thereby reducing the occurrence of burglary, fire and the like. By adopting an alarm verification module, the alarming due to mistakenly touching or misjudgment of an indoor management subsystem can be avoided to a certain extent, thereby saving manpower. With the adopting of a garage security monitoring subsystem, an owner of a parking space can be prompted as long as a vehicle leaves the corresponding parking space, the owner responds by means of a handheld terminal, and only the confirmed vehicle can leave the community, thereby preventing the situation of vehicle theft from happening.

The invention discloses an electric power remote centralized control system. The system comprises a dot matrix infrared camera, a locking rod, a movable shaft, an alarm lamp, a buzzer, a panoramic camera, a mounting plate, a camera mounting arm, a limiting block, a first rotating shaft, a first bevel gear, a second rotating shaft, a motor, a motor base, a fixed base, a worm, a turbine, a motor adjusting module, a storage module, an encryption module, a processing module, a comparison module, a pushing module and an alarm module. According to the electric power remote centralized control system, through installation of the alarm lamp and the buzzer, timely early warning of dangerous situations is facilitated, forward and reverse rotation of the motor is adjusted through the motor adjustingmodule, angle adjustment of the dot matrix infrared camera is achieved, monitoring videos are transmitted to the comparison module, the comparison module compares the monitoring videos with a background database, and then the monitoring videos are pushed to a client side, so that the situation of missing alarm of the dangerous situations is avoided; and data are encrypted and transmitted through the encryption module, so that the situation of data leakage is avoided, and the security of information transmission is improved.

The present invention uses a mine-used one-hole multi-indicator intelligent early warning system and method for rock burst, and belongs to the technical field of coal mine monitoring; the system includes an infrared temperature sensor bracket, an infrared temperature sensor, a first signal conditioner, a second signal conditioner, and a third signal conditioner The conditioner, the fourth signal conditioner, the paperless recorder and the alarm also include the drilling device and the cuttings collection and measuring device; the present invention collects four kinds of indicators simultaneously during the process of drilling a test hole, which improves the accuracy of early warning It can reduce safety accidents caused by rock burst disasters, and conduct real-time and continuous monitoring of cuttings weight, cuttings temperature, drill pipe torque and cuttings thrust, so as to avoid the phenomenon of under-reporting due to the omission of effective information in the cuttings method. The structure of the device It is simple and easy to install. It uses a paperless recorder to intelligently display the data, which can objectively reflect the actual situation and avoid manual operation errors. The alarm can alarm the risk of rock burst in time.

The invention discloses an electric power communication equipment cabinet with an anti-theft function, which belongs to the technical field of electric power grids. The problem that an existing electric power communication cabinet is poor in anti-theft effect is solved. The side wall of a cabinet body is of a double-layer structure, an anti-theft detection circuit is arranged in the double-layer structure, a gap is reserved between a net-shaped resistance wire and the double-layer structure, the opposite side faces of the double-layer structure are coated with metal pattern layers, each connecting node of the net-shaped resistance wire is provided with a voltage sensor, the signal output ends of all the voltage sensors are connected with the signal input end of the detection controller, the detection controller judges whether the detection signals of the voltage sensors are larger than a voltage threshold value or not, and when the output signal of any voltage sensor is larger than a node voltage threshold value, the detection controller sends a cabinet deformation alarm signal to the main controller. The cabinet is suitable for the technical field of power grids.

The invention provides an electromagnetic radiation monitoring early warning method of mine roof water inrush, belonging to a coal mine water disaster monitoring and early warning method. At a selected test point, the effective receiving direction of an electromagnetic radiation receiving antenna is arranged to face a roof area to be monitored, electromagnetic radiation signals are collected for seven days, and the electromagnetic radiation intensity and pulse number change range and change rate are calculated as a standard threshold value. The electromagnetic radiation signals are continuously monitored, according to the electromagnetic radiation intensity value of a monitoring area roof and the size and charge rate of a pulse number, a determination condition of roof water inrush is made, whether the roof has water inrush risk is judged, and thus whether the water inrush disaster is carried out is determined. The method has the advantages of simple operation, low testing cost, high efficiency and convenience.

The invention provides a super capacitor fault detection device. The device comprises an input filter circuit for connecting the output interface of a super capacitor detection signal and a processor circuit for performing the super capacitor fault diagnosis according to the history output and current output of the input filter circuit, and the input filter circuit is electrically connected with the processor circuit. In the super capacitor fault detection device provided by the invention, the processor circuit detects the fault according to the present and prior received multipath detection signals of a plurality of super capacitors, the false alarm and missing alarm caused by the interference which is suffered by the detection signal are effectively avoided, and the accuracy of the super capacitor fault detection is improved.

The invention relates to a drilling and measuring integrated experimental platform which comprises a traction device, a power device, a torque collecting device and an objective table, wherein a testblock is placed on the on the object table which is mounted on the traction device; the torque collecting device is separately connected to a motor and a drill pipe; and the drill pipe is aligned to the test block. The drilling and measuring integrated experimental platform provided by the invention can collect parameters such as torque, feeding force, diameter of the drill pipe, and drilling speed simultaneously and carry out real-time continuous monitoring, so that a phenomenon of missed report as effective information is missing by means of a method of drilling bits is avoided, the testingaccuracy is increased, and the safety of production operation is improved.

The invention discloses a multi-sensor detection vehicle right-turn blind area early warning system, which comprises a gyroscope installed in a vehicle and used for measuring the turning state of thevehicle in real time; an ultrasonic radar is installed in front of the right side of the vehicle and used for detecting the obstacle distance; the image sensor is mounted in front of the right side ofthe vehicle, captures and judges images of obstacles, distinguishes pedestrians, vehicles and static targets, and performs graded and strategy early warning; and the alarm is in signal connection with the gyroscope, the ultrasonic radar and the image sensor, and is used for judging data acquired by the gyroscope, the ultrasonic radar and the image sensor and sending out early warning. The systemis novel in structure, the situation of missed warning caused by the fact that a driver forgets to turn on a steering lamp is avoided, the mode of combining the ultrasonic radar and the image sensor is adopted, the obstacle target distance is monitored, graded and strategic early warning is achieved, real-time strain is achieved according to the current road condition, and the early warning accuracy of the right-turn blind area is improved.

The invention provides a monitoring and early warning system and method for construction warning areas based on image recognition. The system includes an image input module, an image splicing module, an interactive calibration module, a pedestrian detection module, a visual intrusion module, a feature extraction Intrusion detection, target detection and re-identification technology, by setting cameras around the construction warning area or around dangerous construction equipment to collect and obtain the surrounding environment information and the information of people entering and leaving in real time, the operator can change the alarm trigger area and the registration information of the operator at any time, and update it in real time Whether there is a human intrusion signal in the early warning trigger area, when there is a human intrusion signal, it will be activated and an alarm will be issued to remind violators to prohibit entering the area to ensure the safety of the construction warning area.

The invention relates to a scanning bed, an SAR factor monitoring method and device, a medium and a magnetic resonance system. The scanning bed comprises a scanning bed body, a metal detector and a pressure sensor, wherein the metal detector and the pressure sensor are both arranged on the scanning bed body, the metal detector is used for detecting whether a patient on the scanning bed body wears metal or not; and the pressure sensor is used for measuring the weight of a patient on the scanning bed body. The problems that the weight of a patient cannot be accurately obtained and whether the patient wears a metal object cannot be judged at present are solved.

The invention discloses a self-calibration method of an infrared thermal imaging body temperature monitor, which can realize automatic calibration. At the same time, before the calibration, pedestrians are initially judged by the temperature information of the detection area obtained by the infrared thermal imaging body temperature monitor. If it is determined that there are no pedestrians in the monitoring area, perform automatic calibration; otherwise, determine that there may be pedestrians in the monitoring area, and further judge whether there are pedestrians in the monitoring area through the infrared image S, if not, perform automatic calibration, otherwise, repeat the execution for pedestrians Judgment until it is determined that there are no pedestrians in the monitoring area to complete the automatic calibration of the temperature. The self-calibration method of the infrared thermal imaging body temperature monitor can avoid the phenomenon of information omission caused by the jam during the calibration period, and can realize the continuous detection of the pedestrian body temperature within the field of view by the infrared thermal imaging body temperature monitor, ensuring the accuracy of the detection accuracy and stability.

The invention discloses an unattended mine power remote centralized control system. The system comprises a dot matrix infrared camera, a locking rod, a movable shaft, an alarm lamp, a buzzer, a panoramic camera, a mounting plate, a fixed arm, a limiting block, a first rotating shaft, a first bevel gear, a second rotating shaft, a motor, a motor base, a fixed base, a worm, a turbine, a motor adjusting module, a storage module, an encryption module, a processing module, a comparison module, a pushing module and an alarm module. Through installation of the alarm lamp and the buzzer, timely earlywarning of dangerous situations is facilitated, forward and reverse rotation of the motor is adjusted through the motor adjusting module, angle adjustment of the dot matrix infrared camera is achieved, monitoring videos are transmitted to the comparison module, the comparison module compares the monitoring videos with a background database, and then the monitoring videos are pushed to a client side, so that the situation of missing alarm of the dangerous situations is avoided; and the data is encrypted and transmitted through the encryption module, so that the situation of data leakage is avoided, and the security of information transmission is improved.

The invention discloses an ignition state calibration method and equipment and a computer readable storage medium. The method comprises the steps that when GPS data reported by the equipment are received, an ignition monitoring process is started, and time verification is conducted on each recorded packet of GPS data through the ignition monitoring process; each packet of GPS data subjected to time verification is written into an ignition monitoring queue; and when a count value of the ignition monitoring queue reaches a preset rated value, the current running state of the equipment is calibrated as an ignition state. The accurate and reliable vehicle ignition state calibration method is realized, the phenomena of less reporting, report missing and wrong reporting of ignition or flameout are avoided, and the stability in the state calibration process is improved.

The invention relates to an earthquake forecasting and monitoring device, which comprises a monitoring device body buried underground and a monitoring device positioned on the ground; an earthquake forecasting monitor is arranged in the monitoring device body; the earthquake forecasting monitor consists of a multicontact double engaged switch for monitoring transverse and longitudinal waves and alarm equipment consisting of a resistor and a digital direct-current ammeter, and the bottom in a rectangular body of the earthquake forecasting monitor is provided with a magnet; a large ball is placed on the magnet, and small balls are suspended on two sides above the magnet respectively; the upper part in the rectangular body is provided with a high-speed illumination camera; the lower end outside the rectangular body is provided with the multicontact double engaged switch of a longitudinal wave electronic predictor perpendicular to the earth center; and a pre-shock ball is placed on the lower part of the multicontact double engaged switch. The earthquake forecasting and monitoring device can monitor crustal change in multiple directions, can monitor the change of earthquake transverse waves in the horizontal direction of 360 degrees, and forecast the direction from which the earthquake transverse waves comes, has sensitive action and high accuracy, and can forecast the central position of the earthquake focus.

The invention provides a dynamic behavior analysis method, device, system and equipment. The method comprises the steps of collecting a sample file and obtaining environment information correspondingto the sample file; configuring or selecting a matching mirror image environment according to the environment information; and carrying out dynamic behavior analysis of the sample file in the mirror image environment. Through application of the method, the device, the system and the equipment, the problem that in related technologies, a malicious behavior of a sample possibly cannot be excited fully by a dynamic behavior analysis technology is solved; the malicious behavior of the sample can be excited fully when the detection is carried out; the occurrence of underreporting condition resulting from difference between a detection environment and a practical environment is avoided, a potential safety hazard is overcome, and the security of a user network is improved.