226results about "Main station arrangements" patented technology

The invention provides a concentrator efficient data acquisition optimization method and system. The method belongs to the technical field of electric power communication, and comprises the following steps: setting each reading task as an exclusive task or a parallel task, performing priority distribution on the reading tasks, and introducing a state machine for executing a first reading task, namely a to-be-read data task configured by a main station; after a system is started, whether exclusive tasks exist in a task pool or not is judged firstly, and if yes, all the exclusive tasks are executed according to a priority sequence; and after the execution of the exclusive task is completed, obtaining all parallel first copying and reading tasks in the task pool, performing parallel execution through a task scheduling mode of the state machine, and obtaining corresponding to-be-copied data items. By setting the reading task as the exclusive task or the parallel task and performing priority allocation, system resources can be utilized more efficiently, and the data acquisition efficiency is improved.

The invention relates to the technical field of water treatment, and discloses a remote monitoring operation and maintenance system and method for water treatment equipment, and the system comprises a hypersensitive composite sensor matrix module, an intelligent edge collector module, a hybrid ad hoc network transmission module, a collaborative data processing center module, a cloud fusion computing platform module and a strategy generation module. By implementing the system and the method, water quality parameters, equipment operation pressure parameters and vibration signal parameters are collected in all directions, intelligent operation and maintenance management of water treatment equipment is realized, and stable operation and efficient treatment capacity of a wastewater treatment system are effectively guaranteed. The problems of how to accurately monitor the water quality change and the equipment operation state and how to carry out deep analysis and effective utilization based on data such as water quality, energy consumption and equipment operation are solved, so that the treatment process is optimized, and the energy consumption is reduced.

According to the electric meter intelligent dynamic complementary reading method and device based on big data analysis, the method comprises the steps that historical data are analyzed, the reading data items and the reading priority of an electric meter are intelligently adjusted, task data sets needing complementary reading are combined into a composite task according to requirements, automatic execution is executed in the non-busy time period, and the intelligent dynamic complementary reading efficiency of the electric meter is improved. And the data acquisition efficiency and accuracy are improved. A master station system is used for issuing a configuration scheme and a task to terminal equipment, data items of different electricity meters are sorted, and deep mining and analysis are carried out based on collected data within a past set time (flexible adjustment can be carried out according to specific field requirements); and a set of personalized complementary reading configuration strategy suitable for various ammeters is deeply combed and constructed, so that intelligent dynamic complementary reading is realized. The measure not only effectively guarantees the basic data support of big data processing, but also assists a decision application level to obtain more accurate and effective results.

The invention discloses a remote water meter reading method and system and electronic equipment, and particularly relates to intelligent water meter fault analysis, which comprises the following steps: acquiring water meter monitoring data of n intelligent water meters according to an electric signal, and generating a water meter monitoring coefficient based on the water meter monitoring data; the water meter monitoring data comprises actually measured fluctuation data and preset standard fluctuation data; extracting a water meter monitoring coefficient time sequence set of the nth intelligent water meter, inputting historical water meter monitoring coefficients in the water meter monitoring coefficient time sequence set into a pre-constructed first deep learning model, and predicting water meter monitoring coefficients at a future T moment; according to the invention, correct water meter monitoring data can be sent to the intelligent water meter, the abnormal intelligent water meter and the fault reason can be found quickly based on the water meter monitoring data, water management personnel can arrive at the corresponding position of the abnormal intelligent water meter in time, and the abnormal intelligent water meter can be repaired or replaced quickly according to the fault reason of the abnormal intelligent water meter. And the loss caused by the abnormal intelligent water meter is reduced.

The invention relates to the technical field of cloud computing monitoring, in particular to a water consumption monitoring system based on a cloud platform, which comprises a data trend identification module, a water consumption transmission scheduling judgment module, a water consumption interval reconstruction module, a user behavior identification module and a scheduling feedback correction module. According to the method, by introducing a sequence matching strategy of a timestamp and a flow value, the recognition precision of continuous flow change is improved, terminal grouping and amplitude consistency screening are combined, the trend sequence stability is enhanced, short-time fluctuation interference is reduced, extreme value positioning and state segmentation processing are utilized, and multi-level sensing of water volume change is achieved; flow map features are enriched, the time sequence and behavior start-stop information are fused to identify the offset state, the response ability to water consumption mode changes is improved, a dynamic allocation mechanism is constructed through response codes and transmission features, channel resource allocation is optimized, and the data processing and resource response efficiency of the system in an abnormal state is improved.

Methods and apparatus, including computer program products, are provided for remote monitoring. In some example implementations, there is provided a method. The method may include receiving, at a remote monitor, a notification message representative of an event detected, by a server, from analyte sensor data obtained from a receiver monitoring an analyte state of a host; presenting, at the remote monitor, the notification message to activate the remote monitor, wherein the remote monitor is configured by the server to receive the notification message to augment the receiver monitoring of the analyte state of the host; accessing, by the remote monitor, the server, in response to the presenting of the notification message; and receiving, in response to the accessing, information including at least the analyte sensor data. Related systems, methods, and articles of manufacture are also disclosed.

The invention discloses a water supply control system based on an Internet of Things water meter and a management platform thereof, and relates to the field of water supply system adjustment, and the system comprises an Internet of Things water meter module, a multi-sensor module, a data processing module, a transmission fusion module and cloud equipment. The NB-IoT module and the LoRa module are subjected to data distribution through the transmission fusion module, the reliability and the real-time performance of data transmission of the water meter of the Internet of Things are improved, and the preprocessing module is used for conducting denoising, data repairing and other processing on all data subsets in the NB-IoT module in the initial stage; a proper compression algorithm is matched through a dynamic compression module according to intervals of data subsets, a dynamic distribution transmission module constructs a distribution model of multi-data subset optimization transmission, and for simultaneous transmission of a large number of Internet of Things water meter data, it is guaranteed that transmission of multiple Internet of Things water meters is rapid and synchronous, and the transmission efficiency is improved. And rapid and accurate judgment and effective management of the system on fault problems are improved.

The invention discloses a method, system and equipment for improving ammeter data acquisition efficiency and a medium, and relates to the field of power systems. In the method, in response to an electric meter file and a network configuration parameter received from an acquisition terminal, networking is carried out according to the network configuration parameter to establish a communication connection with an electric meter; sending networking topology information to the acquisition terminal, and receiving a periodic acquisition task generated by the acquisition terminal according to the networking topology information; performing a first round of acquisition according to the periodic acquisition task and the ammeter file, constructing a trunk branch according to the physical phase of each ammeter and the hierarchical relationship in the communication network, and generating branch groups at the trunk tip of the trunk branch according to the phase relationship of the ammeter and the data acquisition condition of the first round of acquisition; and executing the periodic acquisition task according to the trunk branches and the branch groups. By implementing the technical scheme provided by the invention, the electricity meter data acquisition efficiency is improved.

The invention relates to the technical field of power system automation, and particularly provides a full-amount power consumption data meter reading method and system, a terminal and a storage medium, and the method comprises the following steps: establishing a preset meter reading period, sending a meter reading task to a meter reading terminal in the preset meter reading period, and recording a timestamp when the meter reading task is sent; performing meter reading on the equipment based on the meter reading task to obtain meter reading data, and uploading the meter reading data to a master station; judging whether the meter reading data is abnormal or not, if so, judging an abnormal reason, and generating an abnormal state; and initiating a complementary reading task based on the abnormal state, performing complementary reading according to a preset complementary reading rule to obtain complementary reading data, uploading the complementary reading data to a master station, and integrating the meter reading data and the complementary reading data by the master station to obtain complete data. According to the invention, comprehensive acquisition of power consumption data is realized, and the integrity of the power consumption data is ensured.

The invention provides a remote monitoring method and system based on a fireproof door monitoring module, and relates to the technical field of fireproof safety monitoring, and the method comprises the steps: constructing a fireproof function simulation model of a building; m fireproof door monitoring modules are pre-deployed; after M pieces of real-time state information of the M fireproof door monitoring modules are collected, the function availability of the fireproof door is judged; performing dynamic evacuation path fitting after spatial mapping of the fault fireproof door in the fireproof function simulation model; according to the fireproof influence degree, operation and maintenance priority ranking of the faulted fireproof door is carried out, and a hierarchical operation and maintenance priority sequence is output. The technical problem that the operation and maintenance management efficiency of the fireproof door is low due to the fact that the influence on the whole cannot be evaluated in time when a single fireproof door fails in the prior art is solved, collective availability judgment of the fireproof door combination is performed by monitoring the state of each fireproof door in real time and based on fire escape path fitting, and the operation and maintenance efficiency of the fireproof door combination is improved. And the operation and maintenance management efficiency of fireproof door monitoring is improved.

The invention discloses an underground pipe gallery real-time state dynamic monitoring method and system based on multi-source data fusion, and relates to the technical field of state monitoring, and the method comprises the steps: obtaining a monitoring point set of an underground pipe gallery, and monitoring the monitoring point set; performing real-time risk identification, determining a risk real-time receiving data set and a risk monitoring point set, then performing causal traceability, and determining a traceability clue cluster; by taking the traceability clue cluster as an index, clue extraction is carried out, a traceability receiving data sequence cluster is determined, time sequence iteration trend risk authentication is carried out, and a risk trend feature cluster is determined; and determining a first dynamic monitoring frequency and a second dynamic monitoring frequency, and distributing the first dynamic monitoring frequency and the second dynamic monitoring frequency to the state monitoring terminal to monitor the monitoring point set. The technical problem that the real-time state monitoring frequency of the underground pipe gallery is fixed and cannot be dynamically adjusted according to the risk change in the prior art is solved, and the technical effects that the monitoring frequency is adaptively adjusted along with the risk state, and the monitoring accuracy and the response timeliness are improved are achieved.

The invention discloses a multifunctional intelligent controller based on real-time parameters, which belongs to the technical field of instrument intelligent control and consists of a core processing unit, a multi-sensor interface module, a communication module, a remote maintenance module and a power management module. The core processing unit is integrated with a high-performance microprocessor and a real-time operating system to realize multi-task scheduling of data acquisition, processing, storage and the like; the multi-sensor interface module dynamically matches sensor types to guarantee stable connection; the communication module supports various wireless and wired communication, so that remote maintenance and OTA upgrading are facilitated; the remote maintenance module constructs a two-way communication link based on the cloud platform to ensure data security; the power management module adopts dual-mode power supply, a detachable structure realizes mode switching, and portability and stability are both considered. The controller can be compatible with various instruments, supports multi-parameter synchronous measurement, achieves automatic calibration, effectively solves the problems of an existing instrument controller, and is widely applied to the fields of industrial automation, instrument monitoring and the like.

Methods and apparatus, including computer program products, are provided for remote monitoring. In some example implementations, there is provided a method. The method may include receiving, at a remote monitor, a notification message representative of an event detected, by a server, from analyte sensor data obtained from a receiver monitoring an analyte state of a host; presenting, at the remote monitor, the notification message to activate the remote monitor, wherein the remote monitor is configured by the server to receive the notification message to augment the receiver monitoring of the analyte state of the host; accessing, by the remote monitor, the server, in response to the presenting of the notification message; and receiving, in response to the accessing, information including at least the analyte sensor data. Related systems, methods, and articles of manufacture are also disclosed.

The invention relates to distributed computing technology, and in particular to a computing resource scheduling method, a scheduler, an Internet of Things system and a computer-readable medium. The Internet of Things system provided by an embodiment of the present invention comprises: a sensor (10), a data acquisition module (20) connected to the sensor (10), at least one edge computing device (30) that provides computing resources required for data processing for the IoT system (100), and a scheduler (40). The scheduler (40) is configured to receive the data to be processed collected by the sensor (10) from the data acquisition module (20), determine the processing priority of the data to be processed, predict the amount of computing resources and duration required to process the data to be processed according to the processing priority, and schedule the computing resources of the at least one edge computing device (30) according to the predicted amount of computing resources and duration to process the data to be processed.

According to some embodiments, a railcar monitoring system for monitoring one or more conditions associated with a railcar comprises a railcar controller and one or more sensors disposed throughout the railcar and communicably coupled to the railcar controller. The railcar controller is configured to exchange data with the one or more sensors and transmit data from the one or more sensors to a remote location. An amount of data exchanged between the railcar controller and the one or more sensors is controlled based on a railcar context. The railcar context is based on a location and / or activity associated with the railcar.

The present invention provides a temporary aquatic product rearing device and a method of using the device, including a water distribution channel and a collection control box, a water collection pool is provided on one side of the water distribution channel, a group of water flow aquaculture tanks are connected to the side of the water distribution channel away from the water collection pool, an aeration water pushing device is installed on the side of the water flow aquaculture tank close to the water distribution channel, and a sewage collection shell is connected to the side of the water flow aquaculture tank away from the aeration water pushing device; a sewage discharge pipe is connected to the water collection pool, and the sewage discharge pipe is respectively connected to a group of sewage collection shells, and a purification component is also connected to the water collection pool. The present invention can effectively improve the product quality of aquatic products and gain recognition from consumers; remove fecal impurities generated during the temporary rearing process, and after water treatment, discharge clean water for continued use, which can effectively save water and eliminate pollution to the environment; through temporary rearing, the drug residues of the aquatic products themselves can be effectively removed to promote the metabolism of aquatic products.

The present invention relates to the field of water treatment technology, and discloses a remote monitoring and operation and maintenance system and method for water treatment equipment. The system includes: an ultra-sensitive composite sensor matrix module, an intelligent edge collector module, a hybrid self-organizing network transmission module, a collaborative data processing hub module, a cloud-based fusion computing platform module, and a strategy generation module. By implementing the present invention, water quality parameters, equipment operating pressure parameters, and vibration signal parameters are collected in all directions, and intelligent operation and maintenance management of water treatment equipment is realized, effectively ensuring the stable operation and efficient processing capacity of the wastewater treatment system. The problem of how to accurately monitor water quality changes and equipment operating status, and to conduct in-depth analysis and effective utilization based on water quality, energy consumption, equipment operation and other data, thereby optimizing the treatment process and reducing energy consumption is solved.

A vehicle monitoring system, includes a vehicle database, which includes information associated with a plurality of vehicles. The vehicle monitoring system also includes a sensor database, which includes information captured by a sensor of an observing vehicle, and one or more processors. The one or more processors may generate a request to determine information associated with a target vehicle and to transmit the request to the sensor in response to determining that the information captured by the sensor does not include the information associated with the target vehicle. The sensor captures the information associated with the target vehicle based at least in part on the request. The one or more processors may also receive and store the information associated with the target vehicle from the sensor. Further, the one or more processors may output the information associated with the target vehicle to a computing device.

The invention relates to the technical field of data communication, in particular to a communication method and system for an intelligent water meter, and the method specifically comprises the steps: collecting all water meter data at all moments through the intelligent water meter, constructing a communication urgent coefficient based on the data change of to-be-transmitted water meter data and historical water meter data, analyzing historical behavior information of the intelligent water meter in combination with data transmission times of other intelligent water meters in a current intelligent water meter neighborhood range, constructing an initial decision value of LoRa communication working mode switching of the to-be-transmitted water meter data, and performing LoRa communication working mode switching on the to-be-transmitted water meter data in combination with a change trend of the communication urgency coefficient of the to-be-transmitted water meter data. The communication switching decision value of each state judgment interval of the to-be-transmitted water meter data is constructed, intelligent water meter communication is performed based on the communication switching decision value, the potential trend of abnormal working condition change of a water network in the to-be-transmitted water meter data can be accurately extracted, and the communication mode switching precision of the intelligent water meter is improved.

The invention provides an intelligent gas unmanned inspection method and system based on the Internet of Things, the method is executed by a government safety supervision management platform of the intelligent gas unmanned inspection system based on the Internet of Things, and the method comprises the following steps: obtaining area data of a management area; based on the area data and the traffic data of the management area, whether the management area is determined as a to-be-inspected area is judged; in response to determining the management area as a to-be-inspected area, determining inspection parameters of the to-be-inspected area; the inspection parameters are related to at least one of pipeline monitoring equipment, detection personnel and unmanned inspection equipment; and sending the inspection parameters to a government safety supervision object platform to control at least one of pipeline monitoring equipment, detection personnel and unmanned inspection equipment so as to complete inspection of the to-be-inspected area. Through the above method, polling can be completed in a more targeted and timely manner, so that the polling result is more reliable, and smooth proceeding of subsequent troubleshooting is facilitated.

The invention discloses an intelligent water meter remote monitoring method and system based on the Internet of Things, and belongs to the field of intelligent water meters, and the method comprises the steps: obtaining real-time water consumption data from an intelligent water meter, and transmitting the real-time water consumption data to a cloud server through an Internet of Things protocol to obtain a structured water consumption data set; aiming at the structured water consumption data set, separating trend, period and noise components by adopting a time sequence decomposition method to obtain water consumption mode characteristics; constructing a self-adaptive clustering model according to the water consumption mode characteristics, identifying dynamic water consumption modes of different users, and determining the water consumption behavior classification of the users; for the water consumption data judged to be abnormal, analyzing short-term water consumption fluctuation by adopting a time sequence prediction model to obtain persistence characteristics of abnormal behaviors; according to the long-term trend characteristics, predicting the equipment fault probability by adopting a machine learning classification algorithm to obtain an equipment maintenance priority sequence; and generating a dynamic water consumption management report by aiming at the equipment maintenance priority ranking and combining the persistence characteristics of the abnormal behaviors.

The invention relates to the technical field of electric power, in particular to an electric energy meter data acquisition method, device and equipment based on dual-mode communication and a medium, and the method comprises the steps: inputting the predicted communication state information of each communication mode at the current moment into a mode selection model, and obtaining the initial selection probability of each communication mode; determining a target communication state information dimension from all preset communication state information dimensions according to historical communication state information of any communication mode at all historical moments; and optimizing the initial selection probability according to all target communication state information dimensions of each communication mode to obtain a target selection probability of each communication mode, and selecting an optimal communication mode for a central coordinator CCO to collect electric energy meter data. According to the invention, the data transmission delay can be reduced, the overall response speed of the system is improved, the communication distance is prolonged, and the anti-interference capability is greatly enhanced.

The invention relates to the technical field of information processing, in particular to a soil monitoring method, device and equipment based on the Internet of Things and a storage medium, node deployment density suggestions are generated according to a soil difference atlas, a plurality of intelligent sensing nodes are deployed in a target soil monitoring area based on the node deployment density suggestions, the rationality of node deployment can be improved, and the reliability of node deployment is improved. According to the method, abnormal data detection is carried out on multi-parameter data based on multi-parameter space-time correlation, dynamic adaptive filtering processing is carried out on the multi-parameter data according to a detection result, the reliability of data processing is improved, and a LoRa ad hoc network or an NB-IoT network is selected according to an output result of a decision matrix to transmit effective monitoring data to a cloud platform. The data transmission flexibility is improved, the soil parameter early warning threshold value is dynamically updated according to the growth stage information and the short-term weather forecast information, the early warning accuracy is improved, farming operation suggestions are generated according to the effective monitoring data and the soil parameter early warning threshold value, and operable intelligent decision support is provided.

The invention relates to the technical field of combustible gas monitoring, in particular to an underground space combustible gas monitoring signal acquisition and transmission system. The underground space combustible gas monitoring signal acquisition and transmission system comprises an acquisition and transmission system, a system management and maintenance unit, an energy management unit and a server. According to the invention, by arranging the distributed sensor network module to cooperate with the gas sensor module, large-range and full-coverage monitoring of an underground space can be realized, a monitoring blind area is effectively avoided, and meanwhile, by arranging the adaptive signal node module and the low-power wide area network module, a transmission mode can be intelligently selected according to an environment; according to the system, stable signal transmission in a complex underground environment is ensured, long-distance and low-energy-consumption transmission can be carried out, the data reliability is effectively improved, and in addition, by arranging the data intelligent correction module and the adaptive algorithm module, the system can keep the accuracy of sensor data unchanged in the complex and variable underground environment.

Embodiments of the present disclosure provide a method and an industrial IoT system for factory testing of an ultrasonic gas meter for smart production. The method may include: obtaining a type of a gas meter to be tested based on the smart production data center; determining at least one reference gas meter based on the type of the gas meter to be tested; determining, based on historical application data of the at least one reference gas meter, predicted application data of the gas meter to be tested; determining an application characteristic based on the predicted application data; determining a predetermined test parameter; issuing a test instruction to test the gas meter to be tested; and obtaining a test result based on the smart production object platform and determining a reliability score of the gas meter to be tested based on the test result and display data of the gas meter to be tested.

According to one embodiment, a storage battery apparatus comprising: a plurality of storage battery modules, each of which includes a battery module including a plurality of battery cells, a first wireless communication module configured to transmit and receive a radio wave based on a BLE standard, and a cell monitoring unit configured to measure a voltage of the battery cell and a temperature of at least one portion of the battery module and control operation of the first wireless communication module; and a battery management unit which includes a plurality of second wireless communication modules configured to transmit and receive a radio wave based on the BLE standard, and an arithmetic processing apparatus configured to control operation of the second wireless communication modules, wherein the arithmetic processing apparatus divides the plurality of storage battery modules into a plurality of groups each including at least one of the storage battery modules, and establishes communication between the battery management unit and the storage battery modules in unit of the group according to an external command.

The invention discloses a full-automatic abnormal EUT equipment (electric energy meter) detection system, and relates to the field of medical care equipment, and the system comprises a detection device which is used for simulating various on-site power-on environments; the communication system is used for realizing communication with EUT equipment (an electric energy meter) and a master station; the automatic switching system controls a multi-path relay through a system command to realize random sequencing output of current A / B / C phase lines and voltage A / B / C / N phase lines, and meanwhile, an anti-short-circuit mechanism is arranged on software and hardware; the identification system is used for judging whether the EUT equipment (electric energy meter) is abnormal or not according to the content of the message replied by the EUT equipment (electric energy meter); a master station system; the invention discloses an anti-misoperation protection system. The test period of the three-phase electric energy meter is greatly shortened through the highly automatic detection process, and compared with traditional manual test, the system can solidify the test scheme and process and effectively reduce negligence and omission of human factors, so that the accuracy and reliability of detection are remarkably improved.

This application discloses a method and system for pre-collecting curve data based on user clustering analysis. The method includes: first, acquiring the data collection messages sent by the concentrator; then, performing clustering analysis on the user behavior in the distribution area based on the data collection messages to generate multiple user types; next, sending a broadcast start collection command to the carrier station; and upon receiving the collection completion instruction from the carrier station, collecting the carrier station's data in a unicast concurrent manner according to the multiple user types. This application enables refined management of different users at the carrier level and achieves higher-frequency collection functions for different user types, improving the flexibility and reliability of carrier services while ensuring data integrity and synchronization.

The present invention discloses a test system and method for a multi-span greenhouse type, including a smart agriculture control center, an outdoor environment collection point, a greenhouse automatic control system, a greenhouse video monitoring system, an emergency SMS alarm system for abnormal greenhouse environment, and a smart agriculture big data comprehensive management cloud platform. The present invention sets a smart agriculture control center, an outdoor environment collection point, a greenhouse automatic control system, a greenhouse video monitoring system, an emergency SMS alarm system for abnormal greenhouse environment, and a smart agriculture big data comprehensive management cloud platform. Through comparative tests of different greenhouse types, the present invention explores the effects of different greenhouse types on crop yield and quality, soil properties, summer ventilation and cooling effects, winter warming and insulation effects, etc., and selects the most suitable greenhouse types for winter insulation, summer shading, ventilation and dehumidification for the local climate and soil conditions, so as to provide scientific and technological support for the high-quality development of the vegetable industry and maximize the use of intelligent monitoring of equipment.

The present application provides a sensor message channel identification method, device, electronic device and storage medium, which relates to the field of data transmission. The method includes: obtaining message information on a transmission channel; determining that the transmission channel is a target channel when the message information meets a preset condition, wherein the preset condition includes that the message information has a unique transmission channel and the message information is valid; using the target channel and the sensor information corresponding to the message information as target data, and storing the target data. The present application can improve the management and maintenance efficiency of vehicle post-processing sensor data.