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 utility model discloses an updating method for a moving object based on the road transportation network and GPS, aiming at enabling a central server to trace the former and current position of the moving objects. The utility model is characterized in that the moving object uses GPS to measure the latest running data continuously, through matching with the transportation network, the coordinate of the latitude and the longitude and the direction data are converted into the data format based on the road network, then the current running vector is compared with the running data submitted by the updating on the last position according to the principle of the inertia, and the position updating condition is determined, the current running vector of the moving object is reported to the central server only when the moving object does not keep running as the principle of the inertia. Additionally, the utility model optimizes the updating of the position in the road crossing, only one time position updating of the moving object is performed at most in the road crossing. The utility model has advantages of reducing the communication frequency and improving the data processing efficiency under the premises of securing the processing precision compared with the prior art.

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 discloses an industrial boiler intelligent acquisition system and an acquisition method. The industrial boiler intelligent acquisition system comprises an industrial boiler intelligent acquisition terminal, a cloud application service platform control terminal and an application terminal; wherein an embedded intelligent acquisition control terminal is used for achieving intelligent acquisition and remote transmission of equipment real-time operation information data of an industrial boiler according to a command signal transmitted by the cloud application service platform controlterminal; the cloud application service platform control terminal is used for acquiring equipment real-time monitoring information data of the industrial boiler through a modal parameter recognitioncontrol method according to the equipment real-time operation information data of the industrial boiler and feedback demand data of the application terminal; and the application terminal is used for displaying the equipment real-time monitoring information data of the industrial boiler, and transmitting the feedback demand data of the application terminal to the cloud application service platformcontrol terminal, so as to solve the problems that remote intelligent monitoring level of the industrial boiler is low and it is difficult to monitor a real-time operating condition of the industrialboiler.

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 relates to the field of image communication, and discloses a television control method and a television control system. The television control method disclosed by the invention comprises the steps that an image acquisition module acquires a plurality of images in a detectable range in a timing mode according to a preset period; an image processing module judges whether each of the images contains a body contour image of a user or not if the image processing module judges that a television broadcasting module stays at a broadcasting state; the image processing module judges whether the user stays at a long-time sitting state or not according to relative position changes of the body contour images if each of the images contains a body contour image of the user; and the television broadcasting module generates long-time sitting prompt information if the user stays at the long-sitting state. According to the television control method and the television control system provided by the invention, analysis is carried out on the watching state of the user through detecting the body contour images of the user so as to recognize a long-time sitting behavior of the user and give out a prompt, thereby being capable of avoiding adverse effects imposed on the body of the user by unconscious long-time sitting.

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 is suitable for the network communication field, and provides a media encryption method based on a P2P network media transmission and a system. The media encryption method comprises the steps as follows: the amount of a media data block sent to a media requesting client each time is set by a media source client, and the amount is greater than or equals to two; the position number of an encryption media data block in the media data block with the amount is set by the media source client; and the media source client extracts the encryption media data block according to the position number, and encrypts a plurality of the media data blocks with the amount. The method and the system transmit a plurality of data blocks to the media requesting client once through the media source client, and increases the media transmitting speed; at the same time, the method and the system adopt the encryption and decryption manner that one media data block encrypts a plurality of the media data blocks, so that the security for media data transmission is ensured; the real-time charging function can be served when needing to obtaining media charging from a user; and the acquiring frequency of a server on the charging information is reduced at the same time.

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 radio capsule type medical device. The device comprises a radio endoscopic capsule and a recording instrument, wherein the radio endoscopic capsule is used for receiving a control instruction of the recording instrument, photographing a living body cavity and sending the obtained images to the recording instrument; the recording instrument is used for calculating the similarity of the received two adjacent images; determining the current acquiring frequency of the radio endoscopic capsule according to the correspondence relationship that the acquiring frequency lowers down as the similarity increases; distributing the control instruction for adjusting the acquiring frequency of the radio endoscopic capsule. According to the device, the acquiring frequency can be changed as the peristalsis speed of the alimentary canal; the acquiring frequency can be increased in an area in which the peristalsis of the alimentary canal is fast, so as to avoid ignoring of detection; in addition, the acquiring frequency can be increased in an area in which the peristalsis of the alimentary canal is slow, and thus the images with high repeatability can be avoided.

A method of acquiring mass battery data of a storage power station includes synchronously acquiring and compressing the battery data of the storage power station, storing and transmitting the acquired compressed battery data, and reconstructing the battery data. The method has the advantages operation load of acquiring equipment is reduced and data storage and transmission scale is narrowed.

The invention proposes an energy-saving high-efficiency garbage processing system, and the system comprises a garbage bin terminal, a garbage processing terminal, a garbage vehicle fault detection device, and a monitoring center. The monitoring center is in wireless communication connection with the garbage vehicle fault detection device, the garbage bin terminal and the garbage processing terminal. The garbage processing terminal is used for monitoring the quantity of garbage in a garbage bin, and transmits compressed data comprising a full signal and position information to the monitoring center when the quantity of garbage reaches or exceeds a preset value. The monitoring center carries out the processing of the compressed data, generates garbage carrying operation information and position information, selects a model of a garbage vehicle without any fault based on the information transmitted by the garbage vehicle fault detection device, and transmits the garbage carrying operation information and position information and the model of the garbage vehicle to the garbage processing terminal. The system can optimize the configuration of manpower resources and vehicle resources, and saves the cost.

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 provides a data acquisition method and device, a readable storage medium and a vehicle, and belongs to the technical field of data processing. The method comprises the steps of determining a first driving scene where a vehicle is located according to first current position information of the vehicle; and determining a first target data acquisition strategy corresponding to the first driving scene in a pre-established data acquisition strategy library, so that the vehicle can perform data acquisition on the vehicle according to the first target data acquisition strategy. According to the embodiment of the invention, the corresponding target data acquisition strategy is matched based on the position information of the vehicle and the corresponding driving scene, and data acquisition is carried out on the vehicle according to the acquisition item in the target data acquisition strategy and the acquisition frequency corresponding to the acquisition item, so that the acquired data volume and the acquisition frequency can be effectively reduced, and on-demand acquisition is realized; therefore, the memory occupation amount is reduced, the CPU load of the vehicle-mounted terminal is reduced, the uploading of redundant data is reduced, and the flow consumption is reduced.

The invention relates to a plate making machine, in particular to a CTP plate making machine with a material receiving function. The CTP plate making machine comprises a plate making machine main body, a feeding inlet formed in one side of the plate making machine main body and a discharge outlet formed in one side of the plate making machine main body opposite to the feeding inlet, the plate making machine further comprises a material receiving device for collecting CTP plates, wherein the material receiving device comprises a material guide plate obliquely arranged below the discharge outlet, two material receiving boxes arranged below the material guide plate, a turnover assembly arranged at one end of the material guide plate far away from the discharge outlet, and a material pushing assembly for pushing the CTP plates so that the CTP plates can fall in different material receiving boxes. According to the invention, the CTP plate making machine has the advantages of facilitating staff to collect the CTP plates and reducing collection frequency.

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 detection method for a corona discharge detection device. The method comprises steps that, reception signals are filtered in multiple different frequency band scopes; for each path of signals of multi-path signals, reception signal strength indication is carried out, signal envelope demodulation is specifically carried out, signals after envelope demodulation are classified into first signals and second signals, when strength of the first signals is greater than a threshold, the second signals are acquired and marked, characteristics of the second signals are analyzed; when characteristics of the second signals of the multi-path signals are consistent with set conditions, corona discharge appearance is determined. Through the method, high-efficiency high-sensitivity detection on the corona discharge can be realized on a relatively wide frequency band.

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 relates to a wireless multifunctional data collector for energy-saving monitoring, and the collector comprises a signal collection module which is used for receiving various collected signals, the signal collection module comprising a one-way collection unit and a two-way collection processing unit, the one-way collection unit being used for collecting current, voltage, active power and power factors, two-way collection processing unit comprising a serial port level conversion processing unit, an Ethernet transmit-receive management unit and a hand-held terminal acquisition unit; acontrol module, used for processing the signal received by the signal acquisition module; a transmission module, used for transmitting the signal processed by the control module; and an upper computer, used for receiving the transmitted signal and adjusting the acquisition frequency of the bidirectional acquisition processing unit in the signal acquisition module according to the data volume of the transmitted signal. By effectively adjusting the data volume, the matching between the data processing speed and the accuracy of the evaluation result is realized, so that the energy-saving monitoring process is more efficient actually.

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 relates to an image display method and apparatus. The method comprises the steps of allocating a bitmap according to a fixed size by a slave system, wherein the size of the bitmap is a multiple of a least common multiple of the sizes of various images in the system; dividing the bitmap into clusters same in size according to the least common multiple, wherein the same cluster contains a plurality of images same in size, and a part used for image display in each cluster is called a slice; determining a corresponding slice used for displaying an image needed to be displayed according to the size of the image needed to be displayed; decoding the image needed to be displayed by utilizing a created bitmap used for image decoding; drawing the decoded image to the corresponding slice; and displaying an effective region in the drawn corresponding slice, wherein the effective region contains the image needed to be displayed. The frequency of allocating a big object from a Java stack can be greatly reduced, so that the junk collection frequency is reduced and the responsibility of a user interface is improved when more images can be displayed.

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 invention discloses a secondary loopback detection positioning method based on IMU and vision in a similar environment. The secondary loopback detection positioning method comprises the followingsteps of 1, calibrating and synchronizing parameters of a binocular camera and IMU, 2, image feature extraction and image matching, 3, pose estimation and movement track formation, 4, loopback detection, 5, a secondary loop-back detection mechanism, and 6, repositioning. According to the method, coarse comparison constraint can be performed on the current image frame pose through the IMU pose information, that is, direction consistency constraint pre-judgment is performed by comparing the IMU current position direction with the primary closed-loop image position direction, surrounding scene similarity is prevented, a closed loop can be judged according to the image similarity, according to the problem that the current actual position of the IMU cannot be the same position, wrong loopback is caused, positioning errors caused by similar images in a similar environment are prevented through direction pre-judgment of the IMU, the updated high-precision pose after repositioning is used forcorrecting the IMU accumulated drift error, and the robustness of the secondary loopback detection positioning method is improved.

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 discloses a control detection method of a street lamp monitoring and control system based on STM32F103ZET6. The system uses a STM32F103ZET6 single-chip microcomputer as a core processor(MCU). The system includes a data acquisition instrument (6). The data acquisition instrument (6) realizes real-time data transmission of a background server (1) and a mobile terminal (5) through a communication module (2). The data acquisition instrument (6) is also connected to a solar power supply system (10) and a data detection module (17). In the invention, environmental information data collection, real-time control of a street lamp system, real-time fault detection and alarm, real-time power detection and alarm, real-time lighting intensity adjustment and real-time data transmission and other problems are solved, and the system has characteristics that cost is low; maintenance is convenient; versatility is high; the system does not depend on power supply of commercial power; and expandability is good and so on.