42results about How to "Determined in real time" patented technology

The invention relates to a lossless method for fast evaluating filling compaction quality of soil building stones in real time and an evaluating device of the filling compaction quality of the soil the building stones, and belongs to the technical field of water conservancy and civil engineering. The lossless method is based on the principle that a vibrating roller is used for vibrating compacting, effective compaction energy which is sent to rolled soil building stones by the vibrating roller is monitored in real time, the compaction rate of the soil building stones is judged by setting up an equivalent energy (threshold value) judgment criterion which corresponds to commonly-used compaction index (relative density, degree of compaction and the like). According to the lossless method, the compaction degree of the rolled soil building stones can be fast and accurately determined, and the compaction degree of the rolled soil building stones can be convenient and lossless to determine.

The invention discloses a method for randomly accessing front check dynamic threshold value, comprising that descrambling input signal, descrambling frequency bias, and coherent non-coherent integration, obtaining the sign power time delay distribution of one front check mission at one access time space, finding the average noise horizontal evaluated value of the front check mission, using the evaluated value and the signal/noise ration set by superior, to interfere the integration length to dynamically real-time find the threshold value of single front check mission, finding the threshold values of all front check missions at the access time space, to select the maximum one as the threshold value of the front check. The invention via the noise level evaluation can dynamically real-time find front check threshold value, with simple, reasonable and effective threshold value setting, to avoid most false alarm, control the false alarm rate in allowed range, and confirm check efficiency.

The invention discloses a method for determining the geological state of a rock mass in real time by monitoring the drilling process of a pneumatic bolt drilling machine. The method comprises: a pressure gauge and a flow meter are connected in series to a motor intake pipeline of a drilling machine, a hall rotation speed sensor is installed a drilling rod of the drilling machine vertically, operation parameters, including an intake pressure P and a gas consumption value Q of a motor as well as a rotation speed rate omega and a drilling rate v of the drilling rod, during the drilling process ofthe drilling machine are obtained during the installation process of a bolt and an anchor rope; according to a relationship between an output torque M, the gas consumption value Q, and the rotation speed rate omega of the drilling machine under a certain intake pressure P, an output torque M of the drilling machine is calculated; and on the basis of the output torque M and the drilling rate v ofthe drilling machine, a rock mass integrity coefficient Kv is determined by using a neural network. According to the method disclosed by the invention, the relationship between the operation parameters of the pneumatic bolt drilling machine and the geological state of the rock mass is determined by field testing; and on the basis of the relationship, the geological state of the rock mass is evaluated in real time by using the operation parameters of the pneumatic bolt drilling machine.

The invention provides an automatic guide method for detecting and controlling the driving direction and position based on the all wheel speed and a forklift system thereof. The forklift system comprises a magnetic navigation sensor, a track measurement unit, a forklift main controller, a motor controller and an action motor; vehicle information measured by an encoder and a sensor in the track measurement unit is recorded in real time through the main controller, the driving wheel steering angle and the advancing wheel distance at the same time are recorded to form independent recorded points,and the recorded points are subjected to fitting to form an advancing track spline; the forklift main controller judges whether a forklift deviates from an originally-arranged rail or not according to the comparing result of a stored forklift regulated advancing path and a fitting advancing track, whether errors caused by signal interference exist or not is judged by comparing the forklift movement track read and judged by the magnetic navigation sensor with track points detected by the track measurement unit, accordingly, it is achieved that the position of a forklift is determined in real time, and it is ensured that the moving range of the forklift during deviation rectifying every time is small.

The embodiment of the invention discloses a method for identifying and determining stratum characteristics by using shield real-time tunneling parameters. The method comprises the steps of 1, collecting an investigation report before shield tunnel construction, and carrying out the pre-classification of stratum conditions, and meanwhile, carrying out blank value and abnormal value removal processing, smoothness processing, FPI and TPI index secondary conversion and standardization processing on the parameters collected by a shield tunneling machine in real time; 2, drawing the processed indexes into a two-dimensional plane graph, judging whether a new stratum type is generated or not, and updating the number of the stratum types to be K; and 3, standardizing parameters, inputting the standardized parameters into a K-Means algorithm, selecting K clustering centers, dividing the stratum types according to a shortest distance method, recalculating the position of a center point of the divided type, calculating a square error and enabling the square error to be minimum, and finally outputting the stratum type determined by the corresponding parameters. According to the method, the stratum types penetrated by the shield tunneling machine can be effectively determined, the tunneling parameter setting of the shield tunneling machine is guided, and the shield tunneling safety is improved.

The invention relates to a sedimentation analyzing method based on pile foundation character analysis. A load transmission method and a shear displacement method are combined for conducting pile foundation character analysis, a load-displacement-time three-dimensional function graph is drawn, the quantitative relation among the load, the displacement and the time is established, and overload pre-pressing construction is instructed. According to the sedimentation analyzing method, the quantitative relation among the load, the displacement and the time can be provided, the solidification process of a new bridge part is accelerated through an overload pre-pressing method before a new bridge and an old bridge are connected, so that the later-period sedimentation deformation of the new bridge part is reduced, the additional stress of the structure is relieved, and normal use and the safety performance of the bridge are ensured.

The invention discloses a vacuum feces-collection device leakage detector for a railway vehicle, and the leakage detector is in airtight connection with an output port of a blow-down valve, so as to detect whether the blow-down valve is leaked or not. The leakage detector comprises a connection seat, and an air pressure meter connected to the connection seat. The connection seat is used for airtight connection with the output port of the blow-down valve, and the air pressure meter is used for displaying the air pressure of the output port of the blow-down valve sealed by the connection seat. The invention also discloses a quick leakage detection method for a leakage fault of a vacuum feces-collection device of the railway vehicle. The method comprises the specific steps: firstly inspecting the blow-down valve on a sewage tank; secondly inspecting other parts of a vacuum system in the vacuum feces-collection device after the blow-down valve is determined to have no leakage. The detector and method can determine the causes of 90% (or more) of leakage faults of the vacuum feces-collection device visually and quickly in real time, thereby improving the inspection efficiency of the leakage faults, and reducing the labor intensity of a maintainer.

The invention discloses a rotary encoder, which includes a bearing pedestal, wherein the bearing pedestal is used for supporting a rotating shaft through a first bearing and a second bearing which are arranged at an interval; an end cover and a circuit board are fixed with the bearing pedestal; M pairs of photoelectric sensors are arranged at the circuit board at intervals in the circumferential direction; each pair of photoelectric sensors are arranged at an interval in the radial direction of the circuit board; the rotating shaft penetrates the circuit board, and a coding disk correspondingto the circuit board is fixed at the end of the rotating shaft penetrating through the circuit board; N light shielding blocks are uniformly distributed on the edge of the coding disk in the circumferential direction; when the coding disk is rotated, the light shielding blocks can pass by the radial interval of each pair of the photoelectric sensors; the included angle between the two adjacent pairs of photoelectric sensors meets the condition of the formula X equals to a*360/N +1, wherein the X is the included angle, a is a natural number, and N equals to the amount of the light shielding blocks; the bearing pedestal is provided with a sealing cover positioned on one side of the coding disk; the circuit board and the coding disk are positioned in the sealing cover; and a conducting wire via hole is formed in the sealing cover. The rotary encoder provided by the invention greatly improves the characteristics of antijamming and data reliability, and can meet the requirement for high-precision and high rotational speed measurement.

The invention provides a garbage transit and treatment monitoring system. The garbage transit and treatment monitoring system comprises a central processing module and an external sensor module, wherein the external sensor module comprises multiple pairs of optical correlation type infrared sensor circuit units and vibration sensor circuit units. The garbage transit and treatment monitoring system further comprises a 12V storage battery, a DC-DC power supply module and an SIM card, wherein the central processing module is separately connected with the external sensor module, the DC-DC power supply module and the SIM card, and the 12V storage battery is connected with the DC-DC power supply module. Compared with the prior art, the garbage transit and treatment monitoring system has the advantages that the holding states of the can bodies of garbage cans are monitored in real time through the multiple pairs of optical correlation type infrared sensor circuit units; GPRS flow fees spent in the transmission process of the state information of garbage transit boxes are low; the optical correlation type infrared sensor circuit units are small in size, cannot be easily damaged and are low in price, and the maintenance cost of the original system is reduced; and the system can determine the positions of the garbage transit boxes in real time and facilitate management.

The invention provides a method for searching the maximum projection direction of an ephemeris time clock correction covariance matrix. The method comprises the steps of processing the projection of the ephemeris time clock correction covariance matrix through Cauchy Schwartz inequation, unit orthogonal transformation, ellipsoid transformation and other mathematical methods, converting the problemof searching the maximum projection direction of the covariance matrix into a direction in which the maximum distance from the searching origin to the ellipsoidal surface is located, and respectivelycalculating the maximum projection direction of the covariance matrix according to two conditions that the X axis points to the coverage area and the X axis does not point to the coverage area. According to the method, the maximum projection direction can be accurately determined in real time, and the vector space for calculating the maximum projection direction of the covariance matrix is reduced from a four-dimensional space to a three-dimensional space through block matrix operation and Cauchy Schwartz inequality transformation, so that the problem that the maximum projection direction ofthe covariance matrix cannot be directly solved in the four-dimensional space is solved; and the maximum projection direction of the covariance matrix is constrained in a satellite signal coverage area, so that the calculated value of the DFRE better conforms to the practical situation.