271 results about "Detection early" patented technology

The invention discloses a method for intelligently detecting, early warning and forecasting a fire in an underground space and a device using the method comprising a fire signal detector, an analog-to-digital converter, a data manager, a monitor, a CCD camera, a signal transfer device, a fire alarm control unit, a digital-to-analog converter, a warning device and an underground space ventilation and heat exchange measuring device, wherein the fire signal detector transfers a detected signal to the data manager via the analog-to-digital converter, the information is processed by the data manager and is transferred to the fire alarm control unit via the signal transfer device, and is transferred to the warning device via the digital-to-analog converter, and the data manager processes the information and displays the processed information on the monitor; the CCD camera is connected with the monitor; the underground space ventilation and heat exchange measuring device transfers the information to the data manager. The method and the device adopt a plurality of fire detectors to detect a fire so as to improve an accuracy of a system, return a forecasted result to the system, and use a self-learning capability of a support vector machine to realize high fault tolerance and intellectualization of the system.

The invention discloses a civil aviation air traffic control network security detection early warning platform. The platform comprises a security information collector, a website and application monitoring unit, a situation analysis center and a distributed computing storage node; the security information collector comprises an asset collector, a log collector, a full-flow collection system, a vulnerability collector and a security configuration collector; the website and application monitoring unit provides real-time safety monitoring; the situation analysis center adopts multiple intelligent analysis methods to analyze situation elements, perceives various network security situations and carries out security monitoring, and provides a security situation visual display and application interaction interface; and the distributed computing storage node realizes distributed storage, full-text indexing and analysis of security events. By adopting the civil aviation air traffic control network security detection early warning platform of the technical schemes provided by the invention, a long-acting monitoring mechanism and unified website monitoring and early warning can be established, so that centralized management, batch processing and automatic safety monitoring of the safety of each website are realized, and the safety risks of important websites and information systems are comprehensively summarized.

The invention relates to a green building comprehensive detection device based on Zigbee. The green building comprehensive detection device comprises a support, a data acquisition module, a Zigbee wireless transmission module, a mobile power supply, a transformation module and an upper computer. The data acquisition module, the Zigbee wireless transmission module, the mobile power supply and the transformation module are all installed on the support, the mobile power supply and the transformation module are connected with the data acquisition module and the Zigbee wireless transmission module respectively through a power line, and the data acquisition module is connected with the upper computer through the Zigbee wireless transmission module. Compared with the prior art, the green building comprehensive detection device has the advantages that various detection functions are integrated, various detection data are integrated through a Zigbee wireless data transmission technology, semi-automatic control of a detection instrument is achieved, detection early-stage preparation work is effectively reduced, an assembled structure is adopted, and the green building comprehensive detection device is easy to demount and assemble and convenient to carry.

The invention discloses a cable detection and early warning method and apparatus. The method comprises the following steps: regularly acquiring cable monitoring data; evaluating the cable monitoring data according to a preset cable detection early warning model; and transmitting an early warning signal according to an evaluation result. By adopting the cable detection and early warning method andapparatus provided in embodiments of the invention, various monitoring technical means are used for implementing the state monitoring and real-time patrol inspection for cables and accessory devices thereof, and the traditional periodic patrol inspection mode is changed, so that the manual patrol inspection workload can be greatly alleviated, and the manpower and transportation expense caused by the manual patrol inspection can be reduced; and by virtue of the monitoring data analysis, power cable defects, tunnel environment potential hazards and potential malfunctions can be discovered in time and can be early warned, precautions can be taken, the state examination can be dynamically arranged, so that the failure of the cable device can be greatly reduced, electric power accidents as wellas consequent invaluable economic loss caused by the failure of the cable tunnel can be prevented.

The invention provides a horizontal guiding drill while-drilling detection early warning system which comprises an underground while-drilling detection system and a ground signal processing and earlywarning display system that are connected with each other by a two-core communication cable, so that high speed data communication can be realized; in the construction process, the underground while-drilling detection system works under the ground and adopts active acoustic detection technology for detecting, thus completing acquisition and transmission of data of underground pipeline detection; and the ground signal processing and early warning display system works on the ground and is used for controlling the underground while-drilling detection system, processing and displaying the detection data and alarming by sound and an indicator light according to the danger level of underground obstacles. The system combines the detection technique and the drilling construction technique so as torealize while-drilling detection early warning, can effectively detect the obstacle which is about 1m far from the advance locus of a horizontal guiding drill, has higher detection accuracy and effectively reduces the construction risk.

The invention relates to a horizontal guiding drill while-drilling acoustic wave imaging detection early warning system which comprises an underground while-drilling detection and attitude measurementsystem and a ground data processing system that are connected with each other by a communication cable; wherein the underground while-drilling detection and attitude measurement system is installed between a drill rod on a horizontal guiding drill and a back-drawing device (or a guide plate) and comprises a while-drilling detection system and a while-drilling attitude measurement system which arerespectively connected with the communication cable, and a power supply administration module respectively connected with the while-drilling detection system and the while-drilling attitude measurement system by circuits; when in construction by using the horizontal guiding drill, construction and detection are carried out at the same time, and underground pipelines existing near the constructionlocus can be detected in real time; when in danger, the early warning system gives an alarm to operating staff of a drilling machine; meanwhile, the construction route map of the horizontal guiding drill can be accurately drawn, and the distribution situation of the pipelines existing near the construction route can be provided by combining the detection early warning information.

The invention relates to a secondary device status maintenance and evaluation system, which comprises a data collecting module, a data processing module, a detection early-warning module, a status evaluation module and a status diagnosis module. Through the statistics of basic information, defects and protection action information of secondary devices such as relay protection, safety automatic device and the like, the running status of the secondary device is comprehensively analyzed and evaluated, so that an operable evaluation report of the secondary device is provided for the management personnel, and the management personnel can sequentially make a maintenance plan for the secondary devices. Simultaneously the secondary device status maintenance and evaluation system is easy to operate and maintain and has expandability.

The invention relates to the field of earthquake monitoring and early warning, in particular to a novel earthquake early warning method having advantages of on-site early warning and front-detection early warning. By the method, the problems that the position of earthquake epicenter cannot be pre-estimated by the conventional on-site earthquake early warning method and an early warning dead zone exists in the conventional front-detection earthquake early warning method can be solved. The method is implemented on the basis of a front-detection monitoring and early warning network and a plurality of on-site early warning monitors Bj. The method comprises the following steps of: interacting monitoring information; determining and executing early warning; and defining a range and executing the early warning. The method has the advantages of the front-detection early warning and the on-site early warning, so the early warning dead zone within a range covered by the front-detection earthquake monitoring and early warning network is eliminated effectively, and early warning signals can be provided in a meizoseismal area; furthermore, favorable early warning measures are provided for earthquake protection of important monitoring areas within a monitoring range, and the requirement of people such as unceasing enterprise on the earthquake natural disaster reduction science and technology can be met.

The invention provides an automatic early warning fire extinguishing method for preventing a vehicle from spontaneously combusting. The inside of an engine case is provided with a central processing unit, a temperature sensor, a gas sensitive sensor, a laser probe, a photoelectric smoke sensor, a direct current over-current protector, a power relay, an oil circuit switch and a fire extinguisher. The central processing unit is connected with the temperature sensor, the gas sensitive sensor, the laser probe, the photoelectric smoke sensor, the direct current over-current protector, the power relay, the oil circuit switch and the fire extinguisher through a data wire to form a detection early warning fire extinguishing system; the outside of an oil supply pipeline which is connected with an engine is covered with a transparent plastic pipe; an oil absorption discoloration flame retardant material is filled between the oil supply pipeline and the transparent plastic pie to form an oil supply pipeline protection structure; and a brake oil tank and an engine oil tank which are arranged at the periphery of the engine are isolated through a flame retardant plate. The automatic early warning fire extinguishing method has the advantages that: the design is scientific and rational; the method gives priority to preventing the pipeline from oil leakage and short circuit, and is supplemented by the passive fire extinguishing; and even though the spontaneous combustion is caused by the fire of the circuit after the oil leaks, the central processing unit can cut off the power relay and the oil circuit switch as soon as possible, so the loss of the spontaneous combustion is minimized.

The invention discloses an anomaly detection early warning method and system. The method comprises the following steps: configuring monitored service indexes on a monitoring platform, and storing configuration information of the service indexes into a database; triggering an offline model training module, training a model offline, and uploading the trained model to a distributed file system, wherein the model is used for predicting monitoring indexes; pushing the index data to a distributed message queue system in real time; loading the configuration information and then storing the model, consuming the index data from the distributed message queue system in real time, taking the index data as input of the model to obtain a prediction result, and judging whether the index data is abnormalor not; and when the index data is abnormal, writing back alarm information of monitoring abnormality to the distributed message queue system, and reading the alarm information from the distributed message queue system in real time by the client. According to the invention, the monitored index data can be consumed in real time and whether abnormality exists or not can be detected, the detection delay problem of the monitoring index is reduced, and the early warning efficiency is greatly improved.

The invention belongs to the building construction field and provides an automatic standard detection early-warning system and a working method thereof for a special construction scheme of a deep foundation pit, with a design document as an object. The system comprises a project management module, a detection list generation module, a detection knowledge base module and a project detection early-warning module. The automatic standard detection early-warning system and the working method thereof for the special construction scheme of the deep foundation pit are provided to carry out standard conformance detection on the special construction scheme of the deep foundation pit before construction based on the deep foundation pit engineering design document.

Provided are an intelligent buried mark pile early warning system and a method for conducting detection early warning by using the system. The system is composed of a plurality of intelligent mark piles which are connected through detecting loops. Detection signals are received by mark pile protecting devices, detection information is sent to a background computer, and therefore background workers can timely find out and solve possible line potential safety hazards. Meanwhile, the personnel safety of construction or operation personnel can be effectively guaranteed through alarm of the mark piles.

The invention relates to a plugging material detection early warning device and a method based on voice recognition, comprising the following steps: utilizing voice recognition technology to simulate the on-site auditory sense of persons; collecting on-site abnormal audio frequency signal of a blanking tube caused by plugging materials and analyzing; judging whether fault occurs in running; giving an audio warning signal; and reminding operators to take corresponding measures. The invention is a non-contact plugging material early warning method and solves the problem of warning malfunction caused by rapid wear of contact plugging material test detection pieces.

The present invention discloses an inland waterway navigable ship superelevation detection early warning system and a working method thereof. The system comprises a ship image imaging module, an on-site image remote sending module, a ship image receiving module, a VTS control center, an environment information detection module, an environment information sending / receiving module, a bridge headroom height sending / receiving module, a bridge headroom height measurement module, a calibration data module, an AIS system module, a wireless sending / receiving module and a wireless hand-held law enforcement terminal module. The inland waterway navigable ship superelevation detection early warning system and the working method thereof take a computer vision theory as basis, take the inland waterway navigable ships as the application background, and utilize the AIS devices to obtain the position information of an navigable environment, thereby being simple in system realization. The inland waterway navigable ship superelevation detection early warning system and the working method thereof realize the on-shore nondestructive test by utilizing the space information of the calibration objects and adopting an image processing algorithm, enable a ship body not to be damaged and the manpower resources to be saved, and are high in automation degree. The inland waterway navigable ship superelevation detection early warning system and the working method thereof compensate an imaging error by a coordinate system conversion calibration method, thereby being more accurate in ship height measurement.

The invention provides a highway traffic accident site early warning robot. The main improvements are that the early warning robot includes a detection early-warning platform and a control alarm platform which can communicate with each other; the detection early-warning platform is used for being arranged in an emergency lane in front of a traffic accident caution area, and can move towards a vehicle coming direction so as to warn motor vehicle drivers in the vehicle coming direction at a safe distance from the accident caution area; and the control alarm platform is used for monitoring the working state of the detection early-warning platform, setting and controlling the detection early-warning platform, receiving an early warning signal and / or alarm signal sent by the detection early-warning platform, and warning working personnel in the accident caution area. The highway traffic accident site early warning robot provided by the invention adopts multiple means to perform linkage early warning, has an obvious warning effect, can greatly improve the safety protection level of an accident site, and is of great significance to guaranteeing life safety of field personnel and improving rescue efficiency.

The invention discloses an electric automobile power battery management system and method based on big data and used for battery gradient utilization and relates to a battery management system and method. The problems that as for battery pack management systems of existing electric automobiles, data loss is prone to occur, and the battery data detection accuracy is low are solved. A battery data management unit is arranged on an electric automobile and used for enabling a battery pack temperature signal, voltage signals output by single batteries and current signals output by the single batteries to be in one-to-one correspondence with serial numbers and time signals of the single batteries in a battery pack; internal resistance and residual electricity quantity of each single battery and charge-discharge times signals of the single batteries are figured out through a distributed data processing unit; the residual electricity quantity is judged through a data processing main server, a judgment result is sent to a user and a battery sorting machine, and the battery sorting machine sorts out the batteries. The electric automobile power battery management system and method based on the big data and used for battery gradient utilization is applicable to providing data of the electric automobile power batteries and electric automobile battery data detection early warning for the battery gradient utilization.

The invention discloses an animal disease detection early-warning system and method based on the technology of internet of things. An animal motion detection area is defined, an animal excitation device, such as a food distributor or a water drinking system, and an RFID tag reader are arranged in the detection area, and animals wearing RFID tags are recorded and counted when entering or getting out of the detection area. When moving situations of the animals are monitored by means of the method, a user of a prewarning system can receive a message that the animals have potential health problems if the moving situations of the animals in the detection area in a period are reduced to a low level such as being lower than an alarm trigger point. The method is used for prompting to examine the animals further to find whether the animals have diseases or are infected so as to achieve the functions of early detection and treatment.

The invention discloses a cluster wheel upper straight well section anti-collision early-warning method based on the detection of a magnetic field of an adjoining well sleeve column. The method mainlyincludes the two steps of adjoining well sleeve magnetic interference recognizing and adjoining well sleeve relative position inverting. In the well hole collision risk recognizing link, a practicalmethod for recognizing the adjoining well sleeve magnetic interference phenomenon and the well hole collision risk as early as possible through a rapid tool face measuring value of MWD is put forward;in the adjoining well sleeve relative position inverting link, a practical method for judging the magnitude and direction of magnetic interference comprehensively through the rapid tool face (magnetic tool face MTF) of the MWD and all measurement data (magnetic field intensity and magnetic inclination angle) so as to estimate the relative distance and relative direction of an adjoining well sleeve is put forward. Compared with an existing cluster well upper straight well section anti-collision early-warning method, the method has the advantages that the well hole collision risk recognizing probability can be improved, the well hole collision risk can be found as early as possible, the relative position of the adjoining well sleeve column is estimated, and the important support is providedfor anti-collision obstacle bypassing construction.

The invention discloses a hydraulic early warning method and a device for a concrete structure, which belong to the technical field of civil engineering. A hydraulic early warning pipe is utilized, colored liquid mixed with fluorescent powder is filled in the middle of the hydraulic early warning pipe, high-pressure gas is filled in two ends of the hydraulic early warning pipe, and the hydraulic early warning pipe is buried in the concrete after being sealed. When concrete cracks reach a dangerous value, the early warning pipe is exactly broken, the colored liquid is ejected out under the high pressure to color the concrete, and then an early warning function is achieved. By means of the hydraulic early warning method and the device for the concrete structure, early warning of the concrete structure can be timely achieved when harmful tiny cracks appear, and various shortcomings of an existing detection early warning method can be simultaneously reduced. The hydraulic early warning method and the device for the concrete structure are simple, easy to operate, not easy to damage, capable of carrying out continuous long-time early warning and low in cost, and have no need for power supply.

The invention relates to fault detection early-warning devices, in particular to a fault detection early-warning device for a shield pump. The fault detection early-warning device for the shield pumpcomprises a data acquisition unit, a display operation unit, a communication interface unit, a power supply unit, a main control unit (MCU) and a fault detection sensor set. According to the fault detection early-warning device for the shield pump, an offset detection coil is used as a reference position sensor, a PT-1000 thermal resistor and a stator spatial pressure measurement sensor are mounted on a stator winding, and an acceleration vibrating sensor is mounted on a graphite bearing seat. Through sampling analysis on an output signal of the offset detection coil with a positioning function and an output signal of the acceleration vibrating sensor, monitoring and early-warning of eccentric-wear of a graphite bearing in overall working conditions are achieved.

The invention provides an electrical communication detection early warning system based on stratum construction. A coal bed gas-geologic map editing module is used for drawing a coal bed gas-geologic map and drawing a gas content distribution map; by the coal bed gas-geologic map and the gas content distribution map, positions of sensors are set, and coal bed gas data information and coal bed stress information are obtained; a temperature sensor, a humidity sensor, a gas sensor, a carbon monoxide sensor, an oxygen sensor, a photosensitive sensor and an air volume sensor are respectively used for transmitting an acquired temperature, humidity, gas content concentration, carbon monoxide concentration, oxygen concentration, air volume and photosensitive quantity to a processor, and the process transmits the data to a server by a communication transmission module; by processing of a mathematical method and system development, the problem that a stress cannot be measured in a geologic anomaly area can be solved based on a gas-geologic map gas content distribution and mine monitoring system, and rapid and intelligent measurement on a relative stress of coal-rock mass is realized.

The invention provides a height detection early warning system and method and a vehicle, belonging to the vehicle field. The height detection early warning system comprises a detection device for detecting a height of a barrier channel right in front of the vehicle and a control device; the control device is connected to the detection device for comparing the height of the detected barrier channel with a pre-stored vehicle height, and outputting an early warning signal under a condition that the height of the barrier channel is lower than the vehicle height. The height detection early warning system and method and the vehicle can promptly output the early warning signal under the condition that the height of the barrier channel in front of the vehicle is lower than the vehicle height in order to provide an early warning prompt to a driver, remind the driver that the height of the ahead barrier channel is not enough for the vehicle to pass safely and thus prevent an accident caused by height limitation of the barrier channel.

The invention relates to a power distribution equipment working condition on-line monitoring and early-warning system. For a power supply station and power distribution stations administered by the power supply station, an early-warning computer is arranged in the power supply station, a wireless network communication base station is built, each power distribution transformer is provided with a power distribution equipment detection early-warning terminal which is provided with a wireless sending and receiving communication module and connected in a wireless mode with the wireless network communication base station through the wireless sending and receiving communication module, the power supply station early-warning computer is connected with the wireless network communication base station through a receiver provided with a both-way communication module, and the power supply station early-warning computer, the power distribution equipment detection early-warning terminals and the wireless network communication base station compose the power distribution equipment working condition on-line monitoring and early-warning system. The power distribution equipment working condition on-line monitoring and early-warning system can provide a high-reliability high-quality power using environment for power distribution system tail end users.

The invention discloses a steel structure delivery and matched detection early warning method based on BIM technology. In a visualized three-dimensional BIM model, steel members are directly selected and used to generate matching early warning packages sequentially according to a steel structure on-site installation matching principle. When the finished steel members are not delivered in a matched manner in a warehouse-out phase, automatic early warning of a system is carried out, and passive management is changed into active intelligent management. Operators can find out problems during a loading process, and are aware of the missed delivery and the wrong delivery of the steel members, and therefore an unfavorable condition of on-site workers and on-site machines waiting for delivery of materials caused by the unmatched members is prevented. Management level of production factories and construction sites is improved by using an informatization way, and therefore wasting of construction resources is reduced, information transmission accuracy is high, timeliness is good, and an object of realizing refined management is achieved.

The invention discloses a dynamic disaster mine anchor rock stability integrated detection method and system. synchronous, continuous and regional detection is performed on roadway surrounding rock (including mining roadways and tunneling roadways) roofs, two sides and bottom plates in the deep mine dynamic disaster environment through a non buried integrated detection method of an acoustoelectric wave principle, and accordingly, disaster roadway surrounding rock environment anchor rock stability detection, power information detection early warning and anchor quality determination functions can be achieved, drilling is not needed during detection under the mine, the system is simple and convenient to operate, selective sequence detection and the like can be performed on measurement points or faces of roadway roofs or roadway side surrounding rocks directly.

The invention discloses an underground pipeline detection early-warning device, relates to the field of underground pipeline detection equipment, and solves the problems as follows: the detector in the prior art is very heavy, and performs detection by being hold by a hand; the detector is inconvenient to use; and furthermore, the detection position cannot be recorded. A hydraulic cylinder is installed on the lower end face of an upper base; a shock absorption spring is installed outside the hydraulic cylinder; a lower base is installed below the shock absorption spring; a universal wheel is installed on the lower end face of the lower base; a detector shell is arranged at one side of the shock absorption spring; an access door is arranged on the front end face of the detector shell; a signal receiver is installed at one side below the detector shell; a spray head is arranged at one side of the signal receiver; a signal transmitter is arranged at one side of the spray head; both two sides in the shell are each provided with a heat dissipation fan; a processor module is arranged over a storage battery; and a storage box is arranged in the detector shell.

The invention relates to an early warning application system, and in particular relates to a road abnormal roar detection early warning application system. A method is implemented by the following steps of market requirements and current technology analysis, and operation steps. The road abnormal roar detection early warning application system is simple in structure, performs monitoring managementon abnormal audios generated by illegal refitted vehicles, and provides data support for management and control by the traffic police.

The invention relates to the technical field of water area detection and relates to a water area detection early warning method based on a graph neural network. The method comprises the following steps of: (1) data acquisition: performing water surface cruising in a to-be-detected water area by adopting an overwater robot, and acquiring water quality and environmental data of the to-be-detected water area; (2) constructing a graph neural network model of the to-be-measured water area; and (3) water quality condition prediction: learning and predicting the water quality condition of the to-be-detected water area by utilizing the graph neural network model of the to-be-detected water area. A pollution source in the to-be-detected water area is positioned by adopting the overwater robot in the prior art, and accurate prediction of the water quality of water areas with different shapes and sizes is completed by utilizing spatial position information of the pollution source and adopting a method of constructing the graph neural network model and learning the graph neural network model. Compared with an existing detection and early warning method of a fixed monitoring station, the methodhas better universality.

The invention discloses a thunder and lightning comprehensive detection early warning system and a thunder and lightning detection method thereof. The system comprises an atmospheric electric field detection module which is used for detecting a characteristic value A, at least containing electric field data, of thunder and lightning cloud in a specific region; the meteorological radar module is used for detecting a characteristic value B, at least containing geographical position data, of the thunder cloud in a specific area; and the system module is used for connecting the atmospheric electric field detection module and the meteorological radar module and forming lightning early warning information through combination of the received characteristic value A and the received characteristicvalue B. According to the invention, a meteorological radar and atmospheric electric field equipment are combined, a meteorological radar device is embedded into an atmospheric electric field instrument, and radar detection echo data is converted into an echo intensity color map to be superposed on a map, so that a lightning detection early warning radar system is formed.

The invention discloses a gas detection early-warning method, device and system. The method comprises acquiring N concentration change speeds of target gas in a preset first time period through the gas detection early-warning device, wherein N is a positive integer greater than 0, and when the gas detection early-warning device determines target gas concentration change anomaly according to the N concentration change speeds and a preset concentration change speed threshold value, producing an early-warning massage through the gas detection early-warning device.