Abstract: A method and device are provided for diagnosing a weighing system. In the method, the weighing system acquires an intrinsic parameter, a status parameter, and an operating parameter of various components of the weighing system, environmental parameters of the weighing system application, and communication data and interaction data among all the components. A first-level prompt is sent when the status of any of the components is abnormal, such that the system stops operating. A second-level prompt is sent when the status of each of the components is normal and the service life status of at least one of the components reaches a preset threshold. A third-level prompt is sent when the status of each of the components is normal and a system performance abnormality event is identified for the performance status of the system. A fourth-level prompt is sent when the status of each of the components is normal.

Abstract: The present application provides a suspension device and an X-ray imaging system. The suspension device is configured to bear a tube device of an X-ray imaging system. The suspension device includes a plurality of sleeves and a guide rail assembly. Cross-sections of the plurality of sleeves have substantially the same shape but different sizes. The plurality of sleeves are sequentially arranged. The guide rail assembly is provided between at least one sleeve and another sleeve adjacent thereto. The guide rail assembly includes a protruding member extending along a surface of the at least one sleeve and a sliding member provided on the another sleeve and engaging with the protruding member. The sliding member is capable of moving relative to the protruding member so as to drive the sleeves to move relative to each other.

Abstract: An array grouping-based communication method and a communication apparatus are provided. A first signal is received from a first communication device using M groups of analog weights, where at least two groups of analog weights in the M groups of analog weights are different, and M is an integer greater than or equal to 2. Channel estimation is performed based on the first signal to obtain M channel estimation results, where the M channel estimation results are arranged in one-to-one correspondence with the M groups of analog weights. Signal receiving or sending processing is performed based on the M channel estimation results using a target analog weight, where the target analog weight is obtained based on the M groups of analog weights.

Abstract: A method for operating a measurement device using a blockchain. A blockchain system comprises a lease platform node or lease platform node device, a lessor client, and a lessee client. Existing state information about the measurement device is stored in the blockchain. The method can include receiving a lease order for the measurement device that is sent by a lessee client, sending a lease notification based on the measurement device to the lessor client to notify the lessor to send the measurement device to the lessee, receiving, after the lessee receives the measurement device sent by the lessor, a device state detection request sent by the lessee client or the measurement device, wherein the device state detection request comprises first current state information about the measurement device, and detecting whether the first current state information matches the existing state information, and if yes, creating a lease contract for the measurement device.

Abstract: A method and apparatus are provided for detecting the status of a load cell. When method for detecting the status of a load cell is applied to a multi-point weighing system, the method first collects characteristic sensing data of load cells. It then calculates an anomaly in the characteristic sensing data. From this, it acquires and generates an output signal corresponding to the load cell information when the anomaly exists. The method and apparatus for detecting the status of a load cell can help customers accurately locate a faulty, or potentially faulty, sensor, so as to avoid a measurement error due to sensor problems and improve user satisfaction.

Abstract: A weight determining method and a related apparatus, to reduce a beam gain loss caused by a beam selection deviation are described. The method includes receiving an uplink reference signal and obtaining a channel reciprocity parameter between an uplink channel and a downlink channel based on the uplink reference signal. The method further includes determining state information of the downlink channel based on the channel reciprocity parameter, carrier frequency information of the uplink channel, and carrier frequency information of the downlink channel. Moreover, the method includes determining a weight of a downlink reference signal based on the state information of the downlink channel.

Abstract: The present application provides a suspension device and an X-ray imaging system. The suspension device is configured to bear a tube device of an X-ray imaging system. The suspension device includes a plurality of sleeves and a guide rail assembly. Cross-sections of the plurality of sleeves have substantially the same shape but different sizes. The plurality of sleeves are sequentially arranged. The guide rail assembly is provided between at least one sleeve and another sleeve adjacent thereto. The guide rail assembly includes a protruding member extending along a surface of the at least one sleeve and a sliding member provided on the another sleeve and engaging with the protruding member. The sliding member is capable of moving relative to the protruding member so as to drive the sleeves to move relative to each other.

Abstract: The present invention discloses a weighing and measuring system, comprising a weighing sensor network constituted by networking a plurality of weighing sensors, wherein in the weighing sensor network, each of subtasks into which a weighing task is split is assigned to each of weighing sensors in the weighing sensor network; and each of the weighing sensors respectively and independently executes the assigned subtask and exchanges task data through the weighing sensor network. The weighing sensors collaboratively process a weighing task, which no longer depends on an instrument or a computer, thereby reducing the cost of the whole system, and improving the tolerance level to environment. The collaborative processing mode also avoids the bottleneck of data communication information summarization.

Abstract: A method and apparatus are provided for detecting the status of a load cell. When method for detecting the status of a load cell is applied to a multi-point weighing system, the method first collects characteristic sensing data of load cells. It then calculates an anomaly in the characteristic sensing data. From this, it acquires and generates an output signal corresponding to the load cell information when the anomaly exists. The method and apparatus for detecting the status of a load cell can help customers accurately locate a faulty, or potentially faulty, sensor, so as to avoid a measurement error due to sensor problems and improve user satisfaction.

Abstract: A method and device are provided for diagnosing a weighing system. In the method, the weighing system acquires an intrinsic parameter, a status parameter, and an operating parameter of various components of the weighing system, environmental parameters of the weighing system application, and communication data and interaction data among all the components. A first-level prompt is sent when the status of any of the components is abnormal, such that the system stops operating. A second-level prompt is sent when the status of each of the components is normal and the service life status of at least one of the components reaches a preset threshold. A third-level prompt is sent when the status of each of the components is normal and a system performance abnormality event is identified for the performance status of the system. A fourth-level prompt is sent when the status of each of the components is normal.

Abstract: A method for operating a measurement device using a blockchain. A blockchain system comprises a lease platform node or lease platform node device, a lessor client, and a lessee client. Existing state information about the measurement device is stored in the blockchain. The method can include receiving a lease order for the measurement device that is sent by a lessee client, sending a lease notification based on the measurement device to the lessor client to notify the lessor to send the measurement device to the lessee, receiving, after the lessee receives the measurement device sent by the lessor, a device state detection request sent by the lessee client or the measurement device, wherein the device state detection request comprises first current state information about the measurement device, and detecting whether the first current state information matches the existing state information, and if yes, creating a lease contract for the measurement device.

Abstract: An X-ray imaging apparatus and an X-ray imaging system are described. The X-ray imaging apparatus comprises: a rail assembly, a strut assembly, an X-ray imaging assembly mounted on the strut assembly, and a power supply apparatus mounted on the strut assembly to supply power to the X-ray imaging assembly to generate X-rays for X-ray imaging. The X-ray imaging system comprises the above-mentioned X-ray imaging apparatus and a plurality of X-ray receiving apparatuses. The X-ray imaging apparatus can operate in a wide range to meet different X-ray imaging requirements, and the X-ray imaging system can complete X-ray imaging on a large number of patients in a short period of time.

Abstract: The present invention discloses a weighing and measuring system, comprising a weighing sensor network constituted by networking a plurality of weighing sensors, wherein in the weighing sensor network, each of subtasks into which a weighing task is split is assigned to each of weighing sensors in the weighing sensor network; and each of the weighing sensors respectively and independently executes the assigned subtask and exchanges task data through the weighing sensor network. The weighing sensors collaboratively process a weighing task, which no longer depends on an instrument or a computer; thereby reducing the cost of the whole system, and improving the tolerance level to environment. The collaborative processing mode also avoids the bottleneck of data communication information summarization.