Abstract: A positive electrode active material is granular and comprises a compound represented by formula 1: (NaxAy)a?bM1[M2(CN)6]?, wherein A is selected from at least one of alkali metal elements and has an ionic radius greater than that of sodium, M1 and M2 are each independently selected from at least one of transition metal elements, 0<y?0.2, 0<x+y?2, 0???1, a+b=2, 0.85?a?0.98, (represents a vacancy, and b represents the number of vacancies; and when the positive electrode active material is dissolved, at a temperature of 20° C., into an aqueous solution having a concentration of 5 g/100 g water, a pH value of the aqueous solution is in a range of 7.6 to 8.5. The positive electrode active material has good cycling and rate performance, and a high specific capacity.

Abstract: The present application provides a positive electrode active material which may be in a particulate form and comprise a compound represented by Formula 1: NaxAyM1[M2(CN)6]?·zH2O??Formula 1 wherein, A is selected from at least one of an alkali metal element and an alkaline earth metal element, and the ionic radius of A is greater than the ionic radius of sodium; M1 and M2 are each independently selected from at least one of a transition metal element, 0<y?0.2, 0<x+y?2, 0<??1, and 0?z?10; and the particles of the positive electrode active material may have a gradient layer in which the content of the A element decreases from the particle surface to the particle interior.

Abstract: The present disclosure provides a method and device for intelligent control of heating furnace combustion based on a big data cloud platform, which relates to the technical field of artificial intelligence control. The method includes: construction of big data cloud platform based on production and operation parameters of the heating furnace; identification of key factors in the production process of the heating furnace by using big data mining technology; independent deployment of traditional heating furnace combustion control systems based on the mechanism model; and integration of cloud platform big data expert knowledge base and the heating furnace combustion intelligent control system.

Abstract: A method for automatically identifying design changes in a building information model includes steps of: S1, encoding all objects in an old file and a new file, and taking out an object from the old or new file; S2, determining whether code of the object can be equal to code of one or more objects in the new or old file, if so, then the object is not changed, if not, proceeding to the next step; S3, determining whether the object can match an object in the new or old file, if so, the object is a modified object, if not, the object is a deleted or newly added object; and S4, outputting an identification outcome and returning to the step S1 until identification to be applied on all objects in the old or new files is completed.

Abstract: The present invention discloses an attitude self-compensation method to the transmitters of wMPS based on inclinometer, including the following steps: step 1: arranging inclinometer-combined transmitters according to the mechanism structure of the transmitters; step 2: building a horizontal reference frame based on an automatic level and guide rail; step 3: calibrating rotation relationship between the inclinometer and transmitter coordinate systems by referring to the horizontal reference frame according to the measurement model of the inclinometer and rotation measurement model of the transmitter; step 4: updating the orientation parameters of the transmitters in real time according to the output values of the inclinometer and compensation algorithm for the orientation parameters. The method of the present invention aims at self-compensating the orientation parameters of transmitters in real time and increasing the stability of the system.

Abstract: The present invention discloses an attitude self-compensation method to the transmitters of wMPS based on inclinometer, including the following steps: step 1: arranging inclinometer-combined transmitters according to the mechanism structure of the transmitters; step 2: building a horizontal reference frame based on an automatic level and guide rail; step 3: calibrating rotation relationship between the inclinometer and transmitter coordinate systems by referring to the horizontal reference frame according to the measurement model of the inclinometer and rotation measurement model of the transmitter; step 4: updating the orientation parameters of the transmitters in real time according to the output values of the inclinometer and compensation algorithm for the orientation parameters. The method of the present invention aims at self-compensating the orientation parameters of transmitters in real time and increasing the stability of the system.

Abstract: The present invention discloses a synchronization method for multi-station data of dynamic coordinate measurement by a workshop measuring and positioning network. The method comprises the following steps of: determining a measuring and positioning space according to the in-situ measurement dimension, selecting locations for placing several transmitters, calibrating external parameters of the transmitters by a reference ruler, and establishing a measurement field; in a communication data packet of a signal processor, attaching local clock information into the angle information of each transmitter; and setting fixed time nodes on a time axis, and synchronizing data of different transmitters to corresponding time nodes so as to realize data synchronization.

Abstract: An indoor mobile robot position and posture measurement system based on photoelectric scanning and the measurement method thereof, the measurement system includes: a mobile robot (1) which is arranged with a laser transmitter (2), the peripheral of the laser transmitter (2) is provided with no less than three receivers (3) for receiving the light signals emitted by the laser transmitter (2), and at least one signal processor (4) connected to the receivers (3) for processing signals received by the receivers (3) to determine precise coordinates of the receivers in laser transmitter coordinate system, and a terminal computer (5) wirelessly connected with the signal processor (4) to determine the posture angle and the position of the mobile robot through the distances between the laser transmitter (2) and each receiver (3).

Abstract: The present invention discloses a synchronization method for multi-station data of dynamic coordinate measurement by a workshop measuring and positioning network. The method comprises the following steps of: determining a measuring and positioning space according to the in-situ measurement dimension, selecting locations for placing several transmitters, calibrating external parameters of the transmitters by a reference ruler, and establishing a measurement field; in a communication data packet of a signal processor, attaching local clock information into the angle information of each transmitter; and setting fixed time nodes on a time axis, and synchronizing data of different transmitters to corresponding time nodes so as to realize data synchronization.

Abstract: An indoor mobile robot position and posture measurement system based on photoelectric scanning and the measurement method thereof, the measurement system includes: a mobile robot (1) which is arranged with a laser transmitter (2), the peripheral of the laser transmitter (2) is provided with no less than three receivers (3) for receiving the light signals emitted by the laser transmitter (2), and at least one signal processor (4) connected to the receivers (3) for processing signals received by the receivers (3) to determine precise coordinates of the receivers in laser transmitter coordinate system, and a terminal computer (5) wirelessly connected with the signal processor (4) to determine the posture angle and the position of the mobile robot through the distances between the laser transmitter (2) and each receiver (3).

Abstract: The present invention relates to an accuracy traceability method based on precision coordinates control network for workshop Measurement Positioning System, which includes the steps: setting a plurality of SMR (Spherically Mounted Retroreflector) nests and stations in the measurement space; forming a global control point by using SMR; measuring all the 3-d coordinates of global control points in all the laser tracker stations; using the range value measured by the laser tracker as constraints to calculate the 3-d coordinates of global control points by using the dynamic weighting method; arranging a plurality of transmitters and calibrating the transmitters in combination with precision coordinate control network; measuring all global control points and measured points simultaneously by using wMPS, and using the 3-d coordinates of global control points as the constraints for adjustment calculation to obtain the 3-d coordinates of the measured points.

Abstract: The present invention relates to an accuracy traceability method based on precision coordinates control network for workshop Measurement Positioning System, which includes the steps: setting a plurality of SMR (Spherically Mounted Retroreflector) nests and stations in the measurement space; forming a global control point by using SMR; measuring all the 3-d coordinates of global control points in all the laser tracker stations; using the range value measured by the laser tracker as constraints to calculate the 3-d coordinates of global control points by using the dynamic weighting method; arranging a plurality of transmitters and calibrating the transmitters in combination with precision coordinate control network; measuring all global control points and measured points simultaneously by using wMPS, and using the 3-d coordinates of global control points as the constraints for adjustment calculation to obtain the 3-d coordinates of the measured points.