31results about How to "Avoid data collection" patented technology

A data collecting apparatus sets types of target ECUs, and stores, in a storage unit, driving parameter data items, which are capable of being output by a plurality of ECUs, in association with IDs of the plurality of ECUs. Subsequently, for each of the aforementioned types, a query is made to a vehicle as to whether an installed ECU exists, and the installed ECU is identified as a target ECU. Thereafter, based on the ID of the installed ECU, driving parameter data items capable of being output by the installed ECU that was identified as the target ECU are set as collection items.

The invention discloses a data communication module of a motor protector. The data communication module comprises a central processing unit, a storage unit, a power supply unit, a configurable module, a local application interface, field control interfaces and a connector assembly, wherein the field control interfaces comprise a status input interface, a status output interface, a data acquisition module and a data uploading interface; the connector assembly is used for signal connection; the data acquisition interface of the field control interfaces is arranged on the communication module for acquiring current, voltage, startup time, operation and fault data of a motor; the data uploading interface is arranged on the communication module for packing the acquired data according to the requirements set by the user and then uploading the packed data to an upper communication device for an upper acquisition system. The data communication module of the motor protector disclosed by the invention is used for judging whether data acquisition is carried out to the motor protector or not by monitoring the operation status of an MCC (Motor Control Center) switch cabinet motor protector, so that system does not waste redundant communication time.

The invention discloses an updating method of dashboard data. The method includes: acquiring basic data returned by a data monitoring platform, and storing the same into a summary table; calling a data conversion function on the summary table, and generating target data by conversion according to the basic data; sending the target data to a to-be-updated dashboard; and loading the target data to corresponding positions on the dashboard to generate an updated dashboard. Correspondingly, the invention also discloses an updating system of the dashboard data. According to the updating method and system of the dashboard data of the invention, real-time fast updating of the dashboard data is realized through technical means of automatic collection, summarization and data processing, the problemof lower data collection and data processing efficiency in traditional manners is avoided, and an effect of greatly improving dashboard updating, maintenance and processing efficiency is achieved.

The invention provides an apple defect detection method and system based on a convolutional neural network, and belongs to the technical field of fruit defect detection, and the method comprises the following steps: obtaining image data of an apple; preprocessing the acquired image data; and inputting the preprocessed image data into a preset convolutional neural network model to obtain an apple defect detection result, wherein the preprocessing of the acquired image data comprises the following steps: removing an apple background by adopting a maximum between-cluster variance method, and adjusting the image resolution to be a preset pixel. The influence of pedicels and calyxes on defect detection accuracy is reduced, and efficient and accurate defect identification of apples can be realized.

The invention relates to the technical field of infrared positioning, in particular to a method and a system for determining the infrared data sampling time. The method comprises the following steps: calculating the ascending slope of an infra-red receiving pipe in receiving signals; calculating a virtual peak value of the infra-red receiving pipe in receiving signals according to the ascending slope and a practical peak value time of the infra-red receiving pipe in receiving signals; and comparing the virtual peak value of the infra-red receiving pipe in receiving signals with a pre-arranged saturation value of the infra-red receiving pipe in receiving signals, so as to determine the data sampling time of the infra-red receiving pipe. According to the invention, the situation that the data acquisition is performed at the supersaturation time of the infra-red receiving pipe in receiving signals can be effectively avoided, and also the situation that when the light emitted by the infra-red receiving pipe is shielded, the acquired receiving signals are still in a saturation value is avoided; and meanwhile, the receiving sensitivity of the infra-red receiving pipe not in a supersaturation state is ensured, and the positioning accuracy and the sensitivity of the infrared positioning device are improved.

The invention discloses a distributed source load data scheduling system for electric heating comprehensive energy, which belongs to the field of comprehensive energy system operation and comprises a scheduling master station and a plurality of scheduling areas. The scheduling master station is used for scheduling distributed source loads in a plurality of scheduling areas; each scheduling area comprises a main edge node, a plurality of edge nodes and a plurality of intelligent electronic devices installed at distributed source loads; the plurality of edge nodes are in communication connection with the main edge node, and the plurality of intelligent electronic devices are connected with the main edge node and the plurality of edge nodes; and according to the method, scheduling operation data acquisition can be carried out on the distributed source load in any scheduling area, so that distributed source load scheduling is implemented. The defect that the distributed source load data is difficult to collect in the existing scheduling is overcome. The main edge node is used as a node of the scheduling system, so that the distributed source load data can be collected and scheduled under the condition that the structure, the function and the scheduling mode of the existing scheduling system are not changed.

A method is for automated recording of patient actions, for example in the course of telemedical care, in the course of clinical studies for the merit of a form of therapy or for trialing the effectiveness of drugs. The medical equipment or devices used in this context are provided with recording devices for identifying the patient so that the data obtained during use of the equipment or accessories can automatically be attributed to the patient in question.

The invention belongs to the technical field of industrial communication, and discloses a wireless passive bidirectional laser communication module which comprises a first laser communication unit and a second laser communication unit which are used in a paired mode, the first laser communication unit comprises a first bottom plate, and a first detector is fixedly arranged in the center of the first bottom plate; two sides of the first detector are respectively and fixedly provided with a first laser; the second laser communication unit comprises a second bottom plate, a second detector is fixedly arranged in the center of the second bottom plate, and second lasers are fixedly arranged on the two sides of the second detector respectively; the first laser and the second laser are used for emitting laser signals carrying coded signals, and the detector and the second detector are used for receiving laser emitted by the second laser and the first laser respectively; according to the invention, not only can laser wireless two-way communication be realized, but also the stability of communication signals can be improved.

The invention discloses a high-speed wireless dynamic weighing sensor system. The system includes a weighing sensor, a power supply system, a Wheatstone bridge, an AD data collection card, a battery detector, a CPU, a temperature sensor, a control relay, a storage card and a power consumption control system. The power supply system is respectively and electrically connected with the Wheatstone bridge and the battery detector. The Wheatstone bridge is electrically connected with the AD data collection card. The weighing sensor is electrically connected with the AD data collection card. The battery detector is electrically connected with the CPU. The weighing sensor in the system of the invention has only one externally connected antenna, on-site installation and construction are enabled tobe more convenient, human error factors are reduced, construction costs are reduced, the weighing sensor system uses almost no wire joint on 32 sensors as compared with wired sensors, costs are greatly reduced, too much invalid data collection and transmission can be avoided through the power consumption control system, and system running efficiency is improved.

The invention relates to a method for evaluating a load identification effect under a superimposed operation condition. The method comprises the following steps: 1, selecting load identification products; 2, setting a standard value of a load identification product; 3, carrying out electric appliance category interval division; 4, carrying out weighting coefficient calculation of the power consumption ratio of a single electric appliance; 5, carrying out power consumption accuracy calculation of the single electric appliance; 6, carryin gout overall accuracy calculation under the multi-electric-appliance superposition operation condition; and 7, judging whether the identification effect of the overall accuracy under the multi-electric-appliance superposition operation condition meets the requirements or not. The method adopts an error calculation principle and is simple and easy to understand; in the calculation process, through flexible coefficient allocation or index and weight deletion, accurate identification under the multi-electric-appliance superposition operation working condition is achieved; in the identification effect evaluation process, a large number of load event waveforms do not need to be adopted, numerous data acquisition is avoided, and the method is high in applicability and practicability in occasions with high timeliness such as network access detection and acceptance detection.

The invention discloses an energy information acquisition system which comprises an acquisition module communicated with multiple intelligent devices of an energy station so as to acquire energy dataof each intelligent device according to an original communication protocol of each intelligent device, a protocol conversion module for converting the original communication protocols of energy data into target communication protocols, and a data forwarding module for uploading the energy data to a target network through the target communication protocols after the target communication protocols are obtained through conversion. The system can acquire multiple protocols of intelligent terminal monitoring data and converting the data into target protocols so as to conveniently upload the protocols to an external network, the shortcoming is overcome that internal information of the energy station is limited by a local area network, the emergency situations can also be coped, and energy data is protected.