48results about How to "Reduce collection frequency" patented technology

The invention discloses a garbage disposal system based on internet of things. The garbage disposal system comprises a dustbin terminal device, a garbage truck terminal device and a monitoring center terminal device, wherein the dustbin terminal device comprises a smart dustbin, a wireless communication module, a video monitoring module and a power module; the garbage truck terminal device comprises a garbage truck, a satellite positioning module and a first communication device; and the monitoring center terminal device comprises a data processing module, an alarm module, a navigation information receiving module, a geographic information module, a database module and a second communication device. The garbage disposal system remotely monitors the quantity of garbage and remotely schedules the garbage truck, thus realizing centralized supervision and centralized scheduling, reasonably allocating human resources and realizing optimal garbage collecting efficiency.

The invention relates to a multi-parameter modular oil and gas pipeline safety monitoring system and method. The system comprises a data analysis early warning device and at least one data collectionand storage device. The data analysis early warning device is in communication connection with the data collection and storage devices. Each data collection and storage device is arranged at the preset position of an oil and gas pipeline and used for collecting and storing safety data formed through multiple parameters at the preset positions of the oil and gas pipeline at the preset collection frequency, and transmitting the safety data to the data analysis early warning device. The data analysis early warning device is used for analyzing the safety data to obtain analysis results, and generating corresponding early warning information and adjusting the preset collection frequency according to the analysis results. Multiple parameters of multiple oil and gas pipelines can be collected, and potential safety hazards can be conveniently found in time. By adjusting the preset collection frequency, battery energy can be saved, working time can be prolonged, and the workload of maintenancestaff is reduced.

The invention discloses an audience rating statistical system and a statistical method thereof. The system comprises a video output terminal and a process server connected with the video output terminal through a network, wherein, the video output terminal comprises a microprocessor, a television signal processing module, an image signal output module, an acoustical signal output module, a clock module and a data transmitting and receiving module, wherein, the television signal processing module, the image signal output module, the acoustical signal output module, the clock module and the data transmitting and receiving module are respectively connected with the microprocessor; the data transmitting and receiving module is connected with the process server through a network interface; the television signal processing module is internally provided with a data acquisition module; and the microprocessor is internally provided with a program changing judging module, a graph block acquisition control module and a timing module. The invention can accurately acquire the program changing information of users and calculate the audience rating, simultaneously can lower the operation cost, not only can be used in the condition that a set top box exists, but also can be used in the condition that the set top box does not exist, and has strong practicality and wide application range.

The invention is suitable for the technical field of wearable electronic devices, and provides a myoelectric signal collection method and device. The method comprises the steps that a collection module in a wearable device is controlled to measure the myoelectric signal of a preset human body position with a first collection frequency corresponding to a normal mode; the intensity of the myoelectric signal is obtained, and whether or not the intensity is smaller than a first preset threshold value is determined; if yes, the collection module is controlled to operate under an energy-saving mode,and the collection module is controlled to measure the myoelectric signal of the preset human body position with a second collection frequency corresponding to the energy-saving mode, wherein the second collection frequency is lower than the first collection frequency. According to the method, the unconscious motions of the user can be distinguished from normal training motions, and under a non sports training state, and the collection frequency is reduced by controlling the collection module to measure the myoelectric signal with the collection frequency corresponding to the energy-saving mode to reduce the collection amount of invalid myoelectric signals and improve the collection effectiveness of the myoelectric signals.

The invention discloses a method for monitoring the deformation amount of a deep soft rock roadway. The method comprises the following steps of 1, drilling a hole; 2, installing an inclinometer tube;3, installing a sliding inclinometer; 4, linking an acquisition system. By adopting the method, the deformation amount of the free face of the roadway can be measured, the internal displacement of thefree face of the vertical roadway can be measured at the same time, a change rule of the internal displacement of the surrounding rock of the roadway can be truly reflected, and reasonable supportingparameters and proper supporting time can be determined. According to the method, a sliding inclinometer sensor and a real-time acquisition system are adopted to automatically acquire measurement data, thus the deformation amount of the free face of the roadway can be measured, and the internal displacement of the free face of the vertical roadway can also be measured at the same time; the methodcan truly reflect the creepage change rule of the internal displacement of the surrounding rock of the roadway along with time. Therefore, the key parameters of a soft rock roadway support design fordeep mining are precisely acquired in real time, and an ideal method for acquiring the key parameters is provided for the soft rock roadway support design under different geological conditions.

The invention discloses an air mouse low in power consumption. The air mouse comprises a data collecting unit, a wireless emission unit and a control unit. In a working state, the data collecting unit collects spatial gesture data of the air mouse in real time and transmits the data to the control unit. The control unit receives the spatial gesture data from the data collecting unit in real time ad converts the data into corresponding cursor moving information, and the cursor moving information is emitted through the wireless emission unit. Meanwhile, the control unit compares the spatial gesture data which are received in real time with a preset threshold value, and if within preset time period, all the spatial gesture data received by the control unit are smaller than the preset threshold value, the control unit controls the data collecting unit and the wireless emission unit to be disconnected from a power source, and the control unit enters a dormant state from the working state. Standby currents of the air mouse can be greatly reduced, and using time of batteries is prolonged.

The invention discloses a wireless sensor network (WSN) crop growth environment information sparse acquisition and transmission method based on NB-IoT and FPGA and applied to smart agriculture. The method mainly comprises the steps that crop growth environment information is collected in a sparse sampling mode through Zigbee wireless sensor nodes; the collected sparse data information is sent to an FPGA core control end, and a matrix filling algorithm is executed in the FPGA to fill the sparse data set matrix; data recovered to be complete is sent to the cloud platform end in the NB-IoT mannerand is displayed at the cloud end, so that the functions of collecting, transmitting and monitoring the crop growth environment information are finally realized. According to the invention, a sparsesampling theory is applied to the wireless sensor network, and a matrix filling algorithm is realized by hardware, so that lower power consumption of sensor nodes and higher data recovery speed can beensured.

The invention discloses an anchor pole cable intelligent early warning stressometer including a sensor body (1) which is arranged at the bottom of an anchor pole (2), the sensor body (1) is vertically provided with two opposite drilling holes, strain gauges (101) matched with the drilling holes are inserted into the two drilling holes, one side of the sensor body (1) is provided with a long rod (102), a sensor circuit board is arranged in the long rod (102), the sensor circuit board is connected with the strain gauges (101) via signal lines, an interface is arranged outside the sensor circuit board and is connected with a modem (4) via a signal line (3), the modem (4) is connected with a collector (5) in a wired or wireless communication manner, the collector (5) is connected with a ground computer (6), and an audible and visual alarm (401) is integrated in the modem (4). The stressometer has the functions of real-time acquisition and storage, the anchor rod can give alarm prompt when being subjected to large force, and the safety need of a mine is met.

The invention discloses a positioning data processing method and device, electronic equipment and a storage medium. The invention aims at solving the problems of increased power consumption and data redundancy of a positioning terminal due to frequent acquisition of positioning data in related technologies. According to the embodiment of the invention, when a monitored object is closer to intelligent equipment, the acquisition frequency is properly increased; when the monitored object is farther away from the intelligent equipment, the acquisition frequency is properly reduced. In this way, the acquisition frequency can be dynamically changed and can be adaptively adjusted according to the actual situation. Compared with a scheme of adopting a fixed frequency to carry out positioning dataacquisition, unnecessary positioning data acquisition operation can be reduced, power consumption and flow of the terminal can be saved, and excessive redundant data can also be reduced. Compared witha positioning data acquisition scheme depending on the movement speed, when the movement trend is far away from the intelligent equipment, even if the movement speed is high, the acquisition frequency in the method is reduced but not increased, and therefore the positioning data acquisition frequency can be reduced.

The invention provides a method and a system for measuring the surface area of a rotating body type container. The method comprises the following steps: acquiring two-dimensional section coordinate data of a measured rotating body along a rotating shaft of the rotating body; performing three-dimensional model reconstruction on the rotating body according to the two-dimensional section coordinate data; according to the reconstructed three-dimensional model, the three-dimensional form surface area of the rotating body is automatically calculated; according to the three-dimensional surface area measuring device, the three-dimensional shape surface area is derived by acquiring the two-dimensional section coordinate data of the three-dimensional measured rotating body along the rotating shaft of the rotating body, and compared with an existing three-dimensional surface area measuring device, the cost of an automatic measuring device is reduced, and meanwhile the measuring efficiency is improved.

The invention provides an interactive self-prior perception data acquisition and reconstruction method based on a smart phone, and provides a method for integrating self-prior perception into an interactive perception noise detection system aiming at the problems of more data redundancy, high energy consumption in a processing process and the like in an interactive perception system. According to the method, noise data information of the whole environment is reconstructed by using a small amount of noise data, the data acquisition amount is effectively reduced, and in order to improve the accuracy of the acquired data, before the noise data is acquired, a coarse-grained audio modal dynamic evaluation method is provided to speculate an application scene of a participant in a task sensing process; the environmental noise interactive sensing system is designed and realized, the redundancy of noise data is solved, the credibility of the data is guaranteed, the personal privacy is protected, the acquisition efficiency is improved, a participant intuitively obtains the noise distribution condition of a specific area through a thermodynamic map, and the system plays a great role in noise monitoring and analysis.

The disclosure discloses a positioning data processing method, device, electronic equipment and storage medium. It is used to solve the problems of increased power consumption of positioning terminals and data redundancy caused by frequent collection of positioning data in related technologies. In the embodiment of the present disclosure, when the monitoring object is closer to the smart device, the collection frequency is appropriately increased; when the monitoring object is farther away from the smart device, the collection frequency is appropriately reduced. In this way, the acquisition frequency can be dynamically changed, and adjustments can be made to suit the actual situation. Compared with the scheme of collecting positioning data at a fixed frequency, unnecessary positioning data collection operations can be reduced, power consumption and traffic of the terminal can be saved, and excessive redundant data can also be reduced. Compared with the positioning data acquisition solution depending on the movement speed, when the movement trend is away from the smart device, even if the movement speed is fast, the collection frequency in the present disclosure will be reduced instead of increased, so the positioning data collection frequency can also be reduced.

In order to enable the central server to track the past and present positions of the mobile object, the present invention provides a method for updating the position of the mobile object based on the traffic road network and GPS: the mobile object uses GPS equipment to continuously measure its latest operating parameters, The matching of the road network converts the latitude and longitude position and direction data into a data representation based on the road network, and then according to the "inertia principle", compares the current running vector with the running vector submitted during the last position update, and judges the position update. condition, the current running vector is reported to the central server only when the moving object no longer maintains the inertial running rule. In addition, the present invention also optimizes the position update for the intersection, so that the mobile object only performs position update once in the intersection area at most. Compared with the existing location update method, this method can reduce the communication frequency and improve the efficiency of data processing under the premise of ensuring the processing accuracy.

The invention discloses a wireless transmitting and monitoring device on the basis of multifunctional self-organized sensors. The wireless transmitting and monitoring device comprises a data acquisition system, a data processing system and a data display terminal. The data acquisition system comprises a plurality of data acquisition points, and each data acquisition point comprises a strip, a plurality of sensors and a control box; the sensors of each data acquisition point are fixed to the same side surface of the corresponding strip and are connected with the corresponding control box. The control boxes comprise storage batteries, A / D (analog / digital) conversion control circuits, first single chip microcomputers and wireless transceivers; a plurality of digital signals transmitted by theA / D conversion control circuits can be sorted and summarized by the first single chip microcomputers and can be transmitted to a first signal transceiver of the data processing system. The data processing system comprises the first signal transceiver, a second signal transceiver and a second single chip microcomputer; the second signal transceiver is communicated and connected with the data display terminal. The wireless transmitting and monitoring device has the advantages that whole procedures are automatically controlled by systems in a high-precision manner, and complicated and tedious manual operation can be replaced; constraints can be completely relieved once the wireless transmitting and monitoring device is set, data can be automatically acquired, processed and displayed by the wireless transmitting and monitoring device, and accordingly the work efficiency can be greatly enhanced.

The invention belongs to the technical field of rapid and accurate detection of spot positions, and relates to a system and method for detecting spots positions based on FPGA. The present invention uses FPGA as the main control chip, uses the hardware description language to model the scene, and maps the hardware model to the development board through the FPGA development tool to complete various timing requirements such as signal acquisition, analog-to-digital conversion, result judgment, and motor control. , cooperate with the image acquisition card, host computer and high-precision three-axis stepping motor to realize position detection. Under the premise of meeting market requirements, it has the advantages of high detection accuracy, fast processing speed, strong anti-interference ability, and stable operation, which reduces the production cost. The cost is improved, the working environment is improved, and the production cycle is shortened.