32results about How to "Data is accurate and objective" patented technology

The invention discloses a sleeper longitudinal-transverse resistance dynamic detector and detecting method. The detector comprises a loading device, a sleeper longitudinal-transverse bearing device and an electronic testing device. The end of the loading device is provided with an impact head. An impact hammer and a spring augmenter are disposed inside the impact head. The electronic testing device comprises a force sensor and an acceleration or displacement sensor, wherein the force sensor and the acceleration or displacement sensor are respectively connected with a tester mainframe. The acceleration or displacement sensor is disposed on the upper portion of the sleeper longitudinal-transverse bearing device. The force sensor is disposed on the side of the sleeper longitudinal-transverse bearing device. The detector capable of dynamically detecting sleeper longitudinal and transverse resistance is light, convenient to use, simple to operate, simple to mount, accurate and objective in data, and capable of automatically printing and saving detecting results, labor intensity of detecting personnel is lowered, and detecting efficiency is increased.

The invention discloses a video image color cast detection method and device. The method comprises the steps that a video image including a color card is acquired; edge detection is performed on the video image to be detected so that pixel points included by multiple color modules of the color card in the video image to be detected are confirmed; and color cast amplitude of colors corresponding to the color modules of the video image to be detected is confirmed according to the pixel points and pixel values included by the color modules and standard pixel values corresponding to the color modules by aiming at all the color modules of the color card. Compared with methods and the devices in the prior art, color cast amplitude of the video image is automatically detected via application of the method and the device so that the whole detection process is high in detection efficiency, data are objective and accurate and detection speed is high.

The invention provides an environment monitoring system based on Internet of Things. The system herein includes a cloud service platform, a data transmission system, an acquisition terminal and a Web browser terminal. The acquisition terminal uploads the acquired all kinds of environment data to the data transmission system. The data transmission system is intended for aggregating all kinds of data which is uploaded by the acquisition terminal to monitoring data, and uploading the monitoring data to the cloud service platform through the internet. The cloud service platform is intended for receiving and saving the monitoring data which is uploaded by the data transmission system. The Web browser terminal is intended for accessing the cloud service platform through the internet, and checking the monitoring data which is acquired by the acquisition terminal. According to the invention, the system, by uploading the self working states of the acquisition terminal and the environment monitoring data that are uploaded, enables a user to in timely find the problems of devices, and is conductive to the correctness of determining data and maintenance of the system.

The invention provides a Checkpoint flow early warning method based on mobile police affairs, which can ensure that traffic polices can discover abnormal road sections in time, simplify the configuration process of Checkpoint flow early warning parameters by the traffic polices, and further ensure that the traffic polices can optimize Checkpoint distribution points and improve the operation and maintenance level of Checkpoint equipment. In the technical scheme of the invention, the traffic flow of the prediction day is predicted through the differential autoregressive moving average model ARIMA, and the traffic police can receive the early warning information before the traffic abnormality occurs once the traffic abnormality occurs by setting the early warning threshold, so that the traffic police can arrive at an abnormal place in time, and the problem is solved in time; based on historical data, a differential autoregressive moving average model ARIMA is established for a main trunkroad to be monitored on the basis of each day of a week, and it is ensured that a traffic flow passing predicted value predicted by the differential autoregressive moving average model ARIMA conformsto the characteristics of the peak value and valley value of the Checkpoint daily flow of each day in urban life.

The invention discloses a down feather component and content detection system which comprises a pretreatment device, an air classification device and a collecting device which are sequentially connected, wherein the pretreatment device comprises a horizontally-placed pretreatment cylinder, and first airflow moves from the interior of the pretreatment cylinder to the outside through ventilation holes; the air classification device comprises a vertically-arranged screening barrel, an electrostatic eliminator arranged at the bottom of the screening barrel and a push plate; the side face of the lower portion of the screening barrel communicates with the pretreatment barrel; a plurality of outlets are formed in the side wall of the screening barrel in the height direction of the screening barrel; down feather is blown into the screening barrel by second airflow to be stable at a certain height; the collecting device comprises a collecting part and an exhaust pipe which communicate with theoutlet; and the third airflow moves along the collecting part and the exhaust pipe in sequence from the screening drum. According to the method, the down feather components are classified and detectedaccording to the weight difference between the down feather components, manual screening is reduced, the workload is reduced, the subjective influence of people is avoided, and data is more objectiveand accurate.

The embodiment of the invention relates to the technical field of IT application, in particular to a binding process evaluation method and device, a server and a storage medium. The method comprises steps of acquiring binding data from each terminal, the binding data including behavior data of each user for binding hardware and hardware information of the bound hardware; determining target behavior data of binding target hardware by a user according to the binding data; inputting the target behavior data into a pre-constructed hardware binding evaluation model to obtain a hardware binding evaluation index; wherein the hardware binding evaluation model is used for carrying out statistics on target behavior data, and the hardware binding evaluation index is used for evaluating a hardware binding process. The binding data is obtained from the terminal, so that the information is objective and accurate, a large number of statistical samples from different users can be obtained, the requirements for data collection manpower and time resources are reduced, the binding process evaluation result of the users can be quickly obtained based on hardware binding evaluation model evaluation, andthe evaluation period is effectively shortened.

The invention provides an intelligent multi-channel disease diagnosis system based on the cloud technology and a method thereof. The system comprises a remote symptom diagnosis module, a remote fever detection module, a remote virus detection module, a multi-sensor diagnosis module, a laboratory/hospital diagnosis module and a cloud interaction diagnosis system used for establishing terminal communication and conducting modeling analysis. The remote virus detection module comprises a wearable virus detection module and a portable virus detection module, and the cloud interaction diagnosis system analyzes and processes data uploaded from each module and provides various data services; and the invention further provides a method for performing graded treatment and monitoring on infectious diseases through the disease diagnosis system. According to the technical scheme provided by the invention, the problems in the prior art that the infectious disease risk is possibly caused by artificial close-range infectious disease virus detection and the infectious disease data cannot be tracked, opened and shared in real time are solved by utilizing the combination of a cloud technology platform and wearable virus detection equipment and a multi-channel diagnosis technology.

The invention provides a simple power consumption assessment method of a blade server. According to most blade servers, connectors are used for achieving butt joint of all composing modules. Different from a method of measuring and assessing AC ends and DC ends of traditional servers, the characteristic that a grouped measuring mode is combined with the operation mode of sharing a power source by blade servers is utilized, grouped measuring and average measuring are combined to conveniently carry out project power consumption quick assessment, and the data requirement of user machine room matched construction is better met.