31results about How to "Timely warning reminder" patented technology

The present invention discloses intelligent digital monitoring method and system. The distributive physiological data treating method includes acquiring physiological data signal and sending the data in different transmission modes depending on different priority levels to the receiver end with the user terminal; receiving the data, extracting physiological characteristics, repackaging and sending the data package to the remote server end in the receiver end; receiving and analyzing the data package, sorting and storing in the database and sending alarm signal to the inquiry end in the remote server; and accessing the remote server and checking analysis results in the database in the inquiry end. The corresponding system includes a remote server, user terminal(s), and receiver end(s) connected via network.

The invention provides a surface mine fine mining system adopting a GNSS (Global Navigation Satellite System) technology and a surface mine fine mining method. The surface mine fine mining system comprises at least one GNSS difference base station, a fine mining position server and a plurality of fine mining terminals, wherein the fine mining position server is internally provided with mine measurement data; and the fine mining terminals are used for calculating to obtain current positions of fine mining terminal scraper pans according to difference correction data provided by the GNSS difference base station and feeding back scraper pan position information to the fine mining position server. By utilizing the surface mine fine mining system, intuitive ore body thickness / depth / quality information is provided, accurate guidance is provided for mining operation of a digging operator, ore body condition is updated in real time, and the surface mine fine mining system also has the effect of early warning cross-border mining behaviors.

The invention discloses an expressway collision avoidance early warning system and a method thereof. A guardrail alarm device, a high rod alarm device and a remote controller are included. The high rod alarm device is used to receive an alarm signal when the guardrail alarm device senses that external pressure changes. The high rod alarm device is connected to the remote controller and is used to send position information of the high rod alarm device and an alarm signal in the guardrail alarm device to the remote controller after receiving the alarm signal. The high rod alarm device is also used to carry out early warning signal broadcasting in a coverage area so as to receive a feedback signal of the remote controller. The guardrail alarm device is used to carry out early warning on a position near a guardrail. By using the collision avoidance early warning system, when there is a traffic accident on the expressway, the alarm can be timely triggered and early warning prompt is performed on a rear area so as to avoid crash again. By using the collision avoidance early warning method, after the traffic accident is generated, the early warning prompt can be performed through a plurality of forms.

The invention relates to a food safety information acquisition terminal based on RFID. The food safety information acquisition terminal is respectively connected with an environment information acquisition apparatus, a could platform server and an expansion apparatus, and comprises a microprocessor and an image display, an RFID reader-writer, a physical key operation module, a bar code scanner, a fingerprint recognizer, a humiture sensor, a wireless communication module, a wired communication module, a power supply management module, an image transmission module, an audio transmission module, a printing output module, a storage module, a bluetooth module and a USB interface respectively connected with the microprocessor. Compared with the prior art, the food safety information acquisition terminal has the advantages of comprehensive data acquisition, convenient operation, high security, high work efficiency, high reliability and wide application scope.

The embodiment of the invention discloses an early warning reminding method based on an enterprise credit report blacklist, and the method comprises the steps of: extracting enterprise credit data from a plurality of related departments, and capturing enterprise public opinion data through a network; performing cleaning and formatting classification processing to obtain to-be-processed data; and inputting the to-be-processed data into a trained early warning analysis model for early warning analysis to obtain an analysis result, and performing early warning prompt. By implementing the embodiment of the invention, the enterprise credit data is extracted from a plurality of related departments, the enterprise public opinion data is captured through the network, and the enterprise public opinion data is cleaned, formatted and classified, so that the comprehensiveness, integrity and authenticity of credit data acquisition can be ensured, and the extracted data has higher reference value, the problem that in the prior art, information collection and summarization of dishonesty enterprises in society are not comprehensive and not timely is solved. Meanwhile, early warning analysis and early warning prompting are carried out through the trained early warning analysis model, and timely early warning prompting can be carried out on enterprises with dishonesty risks.

The present invention relates to an early warning system of high-voltage line external break hidden danger source vehicles. The early warning system comprises a non-contact verification of live part early warning device, and is characterized in that the non-contact verification of live part early warning device induces the high-voltage lines to detect via an internal electric field induction module, is communicated with a non-contact verification of live part early warning reception device via a short-distance wireless module to send the alarm and state information, and the non-contact verification of live part early warning reception device is connected with an on-site alarm module and has a GPRS wireless communication module and a GPS positioning module. The early warning system can manage the hidden danger vehicles, can detect and discover the high voltage hidden dangers timely via a high-voltage induction electric field, at the same time, also can timely and early warn and prompt the hidden danger vehicles via a virtual electronic fence warning region and according to the GPS displacement tracks of the vehicles.

The present invention discloses intelligent digital monitoring method and system. The distributive physiological data treating method includes acquiring physiological data signal and sending the data in different transmission modes depending on different priority levels to the receiver end with the user terminal; receiving the data, extracting physiological characteristics, repackaging and sending the data package to the remote server end in the receiver end; receiving and analyzing the data package, sorting and storing in the database and sending alarm signal to the inquiry end in the remote server; and accessing the remote server and checking analysis results in the database in the inquiry end. The corresponding system includes a remote server, user terminal(s), and receiver end(s) connected via network.

The invention relates to an inclination warning device. The inclination warning device comprises a shell, a fixing plate, a metal inner shell, a metal cone and an internal circuit, wherein an LED warning lamp is fixed to the top of the outer wall of the shell, and a circular level is fixed to one side face of the outer wall of the shell; an end face, away from the circular level, of the shell is connected with the fixing plate, and three fixing screws for fixing are arranged on the side, away from the shell, of the fixing plate; the metal inner shell is fixed in the mounting space; the metal cone is initially and vertically arranged in the metal inner shell; and the outer part of the internal circuit is inclined, so the metal cone is in contact with the metal inner shell, the internal circuit is closed, and the LED warning lamp is turned on. The device is simple in installation, is beneficial to real-time monitoring and timely warning of the inclination change of the carrier in an early stage, greatly improves safety of the carrier, provides safety guarantee for carrier construction, and reduces dependence of manual operation and the labor cost.

The invention discloses a device and a method for monitoring and early warning of operation safety of a locomotive. The method is characterized in that an early warning device is used for acquiring operation state data of a train operation monitoring device in real time and generating monitoring or early warning information according to the operation state data; the early warning device is used for analyzing a front track number by receiving front station information sent by a radio train dispatching communication system; the monitoring or early warning information is generated by the early warning device if a tack number which is artificially input by a driver is unmatched with the track number; if a temporary speed limitation command is received during running, the locomotive workers set temporary parameters by the early warning device; the monitoring or early warning information is generated. The device and the method for monitoring and early warning operation safety of the locomotive have the advantages that a platform is provided, users can make requirements on the operation of the driver according to the specific requirements or conditions of the bureau; the equipment prompt can be made in places having a great possibility of causing safety problem in time; the potential safety hazard is eliminated in the rudimentary stage.

The invention discloses a fire rescue visual command system and method. The system comprises a helmet module, a wristband module, an unmanned aerial vehicle detection module, an attitude detection module and an emergency rescue command terminal, the helmet module is in wireless communication with the wristband module, and the helmet module, the unmanned aerial vehicle detection module and the attitude detection module are in wireless communication with the emergency rescue command terminal. The method comprises the following steps: 1, acquiring fire rescue data; and 2, judging the acquired data and transmitting the data. The system is suitable for fire rescue, can acquire relevant data of a rescue site while acquiring the condition of a fireman entering the rescue site, improves the safetyof the fireman, and avoids accident expansion.

The invention discloses a high and steep slope earthquake instability early warning method under the interaction of a pier stud-pile-soil foundation and application of the high and steep slope earthquake instability early warning method. The high and steep slope earthquake instability early warning method comprises the steps that monitoring rods are arranged between a pier pile foundation and an anti-slide pile of a high and steep slope, from the position above the anti-slide pile to a slope top, from the position below the anti-slide pile to a slope toe and the like; earthquake horizontal acceleration and soil pressure of a soil body and a bending moment value of the monitoring rods are measured through horizontal accelerometers, soil pressure boxes and strain gauges on the monitoring rods; and then data are transmitted to a remote server through a data transmission unit, the stability condition of the high and steep slope is monitored in real time, and early warning is provided for management personnel through an earthquake occurrence alarm unit and a post-earthquake alarm unit. According to the invention, real-time post-earthquake monitoring is carried out on the complex geological condition under the interaction of the pier stud-pile-soil foundation of the high and steep slope, the cost is low, the service life is long, the operation is convenient, and the earthquake stability of the complex underground space of the high and steep slope can be effectively evaluated.

The invention discloses a power industry risk prediction method. The method comprises the following steps of collecting initial parameters of each power device; obtaining corresponding operation priori knowledge of each power device according to the initial parameters of each power device; establishing a risk prediction model according to the operation priori knowledge of each power device; acquiring and sending real-time operation data of each circuit device; and importing the real-time operation data into a risk prediction model, and outputting a prediction result through the risk predictionmodel. The invention also discloses a power industry risk prediction system. According to the invention, the risk factors of the power equipment in the power industry can be analyzed, and the risk ofthe power equipment can be predicted timely and efficiently, so that the power equipment can be overhauled and maintained timely and efficiently, and the maintenance cost is saved.

The invention discloses an English teaching computer monitoring device, which can carry out real-time monitoring, automatically analyze according to monitoring information, carry out timely warning and reminding on students who do not learn carefully, and ensure the quality of remote teaching. The control is simple, the classroom is divided into the area information and the position information, the coarse adjustment assembly and the fine adjustment assembly are used for conducting adjustment respectively, the control is simple and convenient, the accuracy is high, and the control strategy issimple; According to the invention, images can be transmitted in real time through the monitor; the teacher can observe the performance of the student in the English class at any time; an image is converted into digital information through the CCD image sensor and the DSP chip; A teacher can check class attending conditions of students, the temperature and humidity sensor is used for detecting thetemperature and humidity in the machine room, the single-chip microcomputer module is used for controlling starting and stopping of the air conditioner and the humidifier, and therefore the temperature and humidity in the machine room are automatically controlled, and the adaptive service life of equipment in the machine room is prolonged.

The invention provides an automatic early warning system and method for expiration of driving information based on a vehicle and a mobile terminal for realizing the method. According to the technicalscheme, a user does not need to submit related parameters to a vehicle management system or a third-party service provider, and the problem of personal information leakage is avoided. A query data block is loaded locally; wherein the loaded data block is a part of sub-databases which are searched from the remote cloud data block and can be used for current query based on a query parameter set locally input by a user and a starting parameter generated by a preset monitoring program, so that the query efficiency is greatly improved, and a large amount of data is prevented from being downloaded at the same time; when the method is operated on the mobile terminal, the recorded data size can be determined based on the memory space size of the mobile terminal. The system is started periodicallyat regular time, and once the system is started, the system is monitored by a preset program, so that starting parameters are generated to execute an automatic query process, and an early warning prompt can be sent out in time.

The invention provides a tire air leakage real-time detection method based on machine learning and a storage medium. The method comprises the steps that: more data of the same type of vehicle in a longer time range is selected; sliding is carried out according to a time window of N days based on a preset slope value; when the time window slides to a certain day, if the gas amount slope value of avehicle tire in the first N days is greater than a slope value K, it is labelled that the vehicle tire of the current vehicle data leaks gas, otherwise, it is marked that the vehicle tire of the current vehicle data does not leak gas; a sample set with a label is obtained; the sample set is verified and trained by using different types of classification algorithms to obtain an optimal classification algorithm; based on the optimal classification algorithm, engineering deployment is carried out on the sample set, so that the model of the optimal classification algorithm is put to the productionenvironment and is used for predicting tire pressure data newly uploaded to the cloud in real time, and obtaining a prediction result. The technical problem that a tire air leakage prediction resultis not accurate enough, or other production cost needs to be increased in the prior art is solved.

The invention discloses a hospital drug purchase-sales-inventory supervision method and system, and the method comprises the steps: obtaining drug purchase-sales-inventory data which comprises the current inventory, initial inventory, warehousing quantity, sales quantity and billing quantity; obtaining a purchase-sales-inventory difference value according to the current inventory, the initial inventory, the warehousing quantity and the sales quantity; obtaining a purchase-sales-inventory difference rate according to the charging quantity and the sales quantity; and comparing the purchase-sales-inventory difference value and thepurchase-sales-inventory difference rate with a set threshold value to obtain a judgment result of the drug purchase-sale-stock state. And by calculating a purchase-sales-inventory difference value and a purchase-sales-inventory difference rate according to the current inventory, the initial inventory, the warehousing quantity, the sales quantity and the billing quantity, and directly positioning a purchase-sales-inventory problem according to the abnormality of the purchase-sales-inventory difference value and the purchase-sales-inventory difference rate, a hospital purchase-sales-inventory supervision and supervision mechanism is improved.

The invention provides a pesticide product purchase-sale-stock management system and method, and the system comprises a block chain, a purchase management assembly, a warehouse-in and warehouse-out management assembly, a stock management assembly, a product management assembly, a sales tracking assembly, a sales analysis assembly, a business management assembly, and a display assembly. The management system has the advantages that the safety of order purchase is improved, the warehouse-in and warehouse-out information accuracy is increased, the enterprise revenue is improved, and the intelligent degree of management is improved.

The invention discloses a digital TV disaster early warning method comprising the following steps: receiving a TV program transport stream sent by an information emission end; extracting a corresponding program number and disaster early warning captions from the TV program transport stream; obtaining program frames according to the program number, embedding the disaster early warning captions into the program frames, and displaying the program frames with the embedded disaster early warning captions on a display interface. The invention also discloses a digital TV disaster early warning device; the method receives the TV program transport stream sent by the information emission end, extracts the corresponding program number and disaster early warning captions from the TV program transport stream, obtains the program frames according to the program number, embeds the disaster early warning captions into the program frames, and displays the program frames with the embedded disaster early warning captions on the display interface. By using the method and device, the information emission end needs not to decode the program, add information, encode the program and output the program to users, thus timely carrying out disaster early warning prompting.

The invention discloses a mine safety production risk early warning system, relates to the technical field of mine production, and solves the problems that an existing usable early warning system does not have a perfect detection function and a structure for providing an alarm by measuring different danger class values of mine holes and is not beneficial to monitoring the danger degree of the mine holes in real time. A mine safety production risk early warning system comprises an access control device, a weighing scale is fixedly arranged at the bottom of the rear side of the access control device, a rear door frame is fixedly arranged at the top of the rear side of the weighing scale, and a cross rod is fixedly arranged at the top between the rear door frame and the weighing scale; by arranging the access control device, a preliminary detection function is provided for a mine, the danger can be directly and greatly reduced at the entrance end, the access control device is arranged at the entrance of the mine, and when a worker passes through the access control device and the weighing scale, the worker receives detection and records the gravity, so that an alarm prompt is given when the gravity of a human body in the mine is excessive.

The invention discloses a multi-point remote monitoring method for smart city safety management, and belongs to the technical field of smart cities. The multi-point remote monitoring method can realize the effects that a PC terminal and a mobile terminal can discover faults in time when a monitoring device works, so as to timely and effectively control an electric push rod to start through using the mobile terminal, thereby pushing a middle connecting block to move, thus an electrical connection block and a fault monitoring device are disconnected, then the electrical connection block is connected with the monitoring device in a standby state, safety monitoring is recovered in a short time, the monitoring blank period is shortened, a monitoring blind area is not prone to occurring, meanwhile, the reserve power supply can supply electric energy to the monitoring device, faults caused by outage due to line problems are dealt with, a coping mechanism of a dual safety guarantee device is more complete, various emergency safety monitoring problems can be handled better, supervisor groups are notified in time through the mobile terminal and the PC terminal, maintenance is carried out immediately, the timeliness of safety maintenance is improved, and the safety of remote monitoring is further improved.

The invention relates to the field of spinning, in particular to spinning yarn breakage detection equipment and method. The yarn breakage detection equipment comprises a shell; the interior of the shell is divided into three cavities in the transverse direction; a light source is installed at the top of the middle cavity; a transverse partition plate is arranged below the light source and fixed to the inner wall of the middle cavity of the shell; two sets of light-transmitting openings are formed in the transverse partition plate; the light-transmitting openings are symmetrically formed in the two sides of the light source; a longitudinal partition plate is installed at the lower end of the transverse partition plate and located between the two light-transmitting openings; the space below the transverse partition plate is divided into a left independent cavity and a right independent cavity; and photoelectric elements are installed at the bottoms of the left independent cavity and the right independent cavity. The spinning yarn breakage detection equipment provided by the invention can carry out timely early warning prompt on the yarn breakage condition; and in addition, the equipment can timely discover filaments which are about to be broken, so that the production efficiency is guaranteed, meanwhile, the product quality is guaranteed, and the equipment is suitable for further application and popularization.

The invention discloses a power quality wireless monitoring system. By setting a power quality analysis terminal and a plurality of power quality disturbance parameter acquisition nodes, it can be based on autonomous collection, independent processing and analysis of power quality disturbance parameters, and upload them to a remote server. Efficient analysis, identification and early warning of power quality. At the same time, by displaying power quality disturbance parameters in the form of a three-dimensional model of the power system, the visual display of the power system operation process is realized, which is convenient for the staff to monitor the collection nodes of each power quality disturbance parameter. Power quality, and timely warning of power quality.

The invention provides a real-time detection method and storage medium for tire air leakage based on machine learning, including selecting more data of the same model in a longer time range, and based on a preset slope value, according to a time window of N days Sliding, when sliding to a certain day, if the slope value of the gas volume of the vehicle tires in the previous N days is greater than the slope value K, the vehicle tires marked with the current vehicle data will leak air, otherwise they will not leak, and thus get a label with a label. Then use different types of classification algorithms to verify and train the sample set to obtain the optimal classification algorithm, and based on the optimal classification algorithm, implement engineering deployment to make the model of the optimal classification algorithm go online In the production environment, it is used to predict the tire pressure data newly uploaded to the cloud in real time, and obtain the prediction result. The technical problem of inaccurate prediction of tire leakage in the prior art, or other production costs needing to be increased, is solved.

The invention discloses an expressway collision avoidance early warning system and a method thereof. A guardrail alarm device, a high rod alarm device and a remote controller are included. The high rod alarm device is used to receive an alarm signal when the guardrail alarm device senses that external pressure changes. The high rod alarm device is connected to the remote controller and is used to send position information of the high rod alarm device and an alarm signal in the guardrail alarm device to the remote controller after receiving the alarm signal. The high rod alarm device is also used to carry out early warning signal broadcasting in a coverage area so as to receive a feedback signal of the remote controller. The guardrail alarm device is used to carry out early warning on a position near a guardrail. By using the collision avoidance early warning system, when there is a traffic accident on the expressway, the alarm can be timely triggered and early warning prompt is performed on a rear area so as to avoid crash again. By using the collision avoidance early warning method, after the traffic accident is generated, the early warning prompt can be performed through a plurality of forms.

The invention provides a surface mine fine mining system adopting a GNSS (Global Navigation Satellite System) technology and a surface mine fine mining method. The surface mine fine mining system comprises at least one GNSS difference base station, a fine mining position server and a plurality of fine mining terminals, wherein the fine mining position server is internally provided with mine measurement data; and the fine mining terminals are used for calculating to obtain current positions of fine mining terminal scraper pans according to difference correction data provided by the GNSS difference base station and feeding back scraper pan position information to the fine mining position server. By utilizing the surface mine fine mining system, intuitive ore body thickness / depth / quality information is provided, accurate guidance is provided for mining operation of a digging operator, ore body condition is updated in real time, and the surface mine fine mining system also has the effect of early warning cross-border mining behaviors.

The invention relates to the technical field of vehicles, in particular to a method and system for early warning the safety risk of a test driving scene. The method comprises the following steps: an information acquisition step: acquiring voice data and real-time vehicle condition data in a test driving scene through an information acquisition device; a data processing step: receiving the voice data and the real-time vehicle condition data through a server, and processing the voice data and the real-time vehicle condition data to obtain a processing result; and a risk early warning step: judging whether early warning information is output or not according to the processing result, and performing risk early warning according to the early warning information. Voice data and real-time vehiclecondition data of a test driving vehicle are collected and sent to the server through the collection device, the server processes the voice data and the real-time vehicle condition data and judges whether potential safety hazards exist or not, the potential safety hazards caused by unfamiliarity with the vehicle condition are eliminated, the safety risks and the unsafe state in the test driving scene are rapidly and accurately recognized, and early warning and reminding are carried out on the vehicle personnel and the 4S store in time.

The invention belongs to the technical field of robots, and particularly relates to a robot fault early warning method and device, a robot and a server. The robot fault early warning method provided by the invention comprises the following steps: acquiring the total historical working time length of a robot; when the historical total working time length reaches a preset total working time length threshold value, outputting early warning prompt information; and / or acquiring the total historical working mileage of the robot; when the historical total working mileage reaches the preset total working mileage threshold value, early warning prompt information is output, early warning prompt can be timely and accurately carried out on possible faults of the robot and fault reasons of the faults, maintenance personnel can carry out repair or maintenance in time, and the maintenance efficiency is improved. And the situation that the working efficiency of the robot is affected by sudden faults due to the fact that possible faults are not found in time is avoided.