491results about "Utility meters data arrangements" patented technology

The invention discloses an electricity consumption information acquisition terminal concurrent meter reading method, device and equipment and a storage medium, and relates to the field of electricity consumption information acquisition. The method comprises the following steps: acquiring a communication routing path and a communication routing hop count from an acquisition terminal to each to-be-acquired electric energy meter in an electric energy meter network topology structure; according to the communication routing path and the hop count of each to-be-collected electric energy meter, the to-be-collected electric energy meters are classified to obtain N concurrent meter reading task groups, and N is larger than or equal to 2; communication routing paths among the to-be-collected electric energy meters in each concurrent meter reading task group are not intersected and communication routing hops are different; and performing concurrent meter reading on the to-be-acquired electric energy meter according to the concurrent meter reading task group to acquire the electricity utilization information. According to the invention, the problems of overweight communication network load and frequent conflicts caused by mutual interference between a downlink reading instruction and an uplink response instruction due to communication channel overlapping and routing conflicts when an existing power utilization information acquisition terminal executes a multi-meter simultaneous reading task are solved.

The invention provides an intelligent gas meter remote meter reading method and system based on the Internet of Things, and relates to the technical field of intelligent gas meters. The method comprises the following steps: collecting local metering data and Internet of Things transmission data; constructing a dual-source data multi-dimensional conflict identification system, and screening conflict data groups; performing accuracy verification on the conflict data group; an encrypted transmission channel is established, and the traceability of the data transmission process is realized; triggering a grading early warning mechanism for the abnormal usage data deviating from the baseline; and carrying out iterative updating on the meter reading data knowledge base, and carrying out remote calibration. According to the method, double-source data conflicts are identified through multiple dimensions, conflict data are corrected in combination with a hybrid model, metering accuracy is guaranteed, and disputes are reduced; through constructing a baseline model and a grading early warning mechanism, abnormal usage is accurately identified and disposed, hidden dangers are timely prevented, and service is excellent. Through dynamic on-demand remote calibration of equipment, the metering precision is guaranteed, the operation and maintenance cost is reduced, the user data transparency is improved, and intelligent gas management is assisted.

The invention discloses an intelligent measurement terminal-based electric energy meter protocol detection and meter reading method, which relates to the technical field of electric energy meter verification, and comprises the following steps of: 1, preparing a 645 detection message containing multiple data items; step 2, sending a detection message to the electric energy meter; 3, receiving a check reply message, determining the protocol type of the electric energy meter, and storing detection parameters; 4, preparing an electric energy meter 645 reading message according to the electric energy meter protocol type; and step 5, detecting the changed electric energy meters in the transformer area and updating detection parameters. According to the detection method, the execution of a periodic meter reading task of the intelligent measurement terminal is not influenced, the accuracy and timeliness of a detection result can be ensured by active periodic detection and emergency detection, and the high-efficiency meter reading characteristic of a DL / T645-2021 protocol electric energy meter and the high-performance advantage of the intelligent measurement terminal are fully utilized by performing sub-protocol meter reading based on the detection result.

The invention discloses an electricity meter data acquisition method and system based on a DLT698.45-2017 protocol. A dual-mode acquisition mechanism is constructed by expanding an active query communication protocol and a passive monitoring communication protocol in a gateway machine dictionary table, presetting an electricity meter model and data point parameters and developing a message encapsulation and analysis interface. According to the method, data points are grouped and framed according to serial ports and electricity meters, a message sending period is managed through a fixed / temporary sending queue, and PIID automatic self-increasing and FCS dynamic calculation are achieved through a serial port processing thread. The system can generate query messages according to a reading period in an active mode, and can monitor serial port data and filter cross-platform messages in a passive mode. The method can effectively improve the ammeter data acquisition efficiency and accuracy, reduces the system resource consumption, guarantees the data integrity and safety, is suitable for the ammeter data real-time acquisition of a smart power grid and a new energy scene, and is of great significance for the construction and development of the smart power grid.

The invention relates to the technical field of Internet of Things communication, in particular to an Internet of Things intelligent water meter ad hoc network communication method based on parameter dynamic evaluation, which comprises the following steps: acquiring a state beacon packet; calculating a comprehensive score of each neighbor node according to the NB-IoT signal quality parameter, the Bluetooth link quality parameter, the remaining power percentage and the historical relay task times; judging whether the comprehensive score exceeds a threshold value or not according to the comprehensive score, if the comprehensive score exceeds a first threshold value, selecting a target node, establishing Bluetooth GATT connection, transmitting the water meter data to the target node, uploading the water meter data to a cloud server in batches in a preset low-power-consumption time window, and if the comprehensive score is lower than the first threshold value but higher than a second threshold value, transmitting the water meter data to the cloud server; and if so, starting a limited flooding broadcast mechanism. Therefore, the problems that in the prior art, power consumption is high, replacement cost is high, operation and maintenance are inconvenient, cost is increased by depending on a fixed relay, no load balance exists, and manpower is increased by on-site reading are solved.

The invention relates to the technical field of data processing, in particular to an efficient transmission method for electric energy meter acquired data, which comprises the following steps: acquiring multi-dimensional feature data of an electric energy meter at each moment, and obtaining multi-dimensional real-time feature data at the current moment and a multi-dimensional historical feature data sequence within a preset historical time period; using an isolated forest algorithm to randomly select sample points to form at least one sample subset, for any sample subset, obtaining the abnormal degree of each sample point in any sample subset under each feature, obtaining a segmentation condition under each feature according to the abnormal degree, and generating an isolated tree; obtaining a normal weight of each path in the isolated tree according to fluctuation features of sample points in a sample subset corresponding to the isolated tree and differences between the sample points and the multi-dimensional real-time feature data; and the final score is obtained by using the normal weight of each path in each isolated tree, and the adjustment frequency is obtained according to the final score, so that the interference of non-system abnormal data such as noise on frequency adjustment is effectively reduced.

The invention relates to the technical field of electric energy meters, in particular to an intelligent electric energy meter with a power saving function. A communication module; the power supply module generates power according to the temperature difference between the surface temperature of the electric energy meter chip and the air temperature in the electric energy meter so as to provide electric energy for the communication module; and the control module is used for respectively adjusting the monitoring sampling mode of the detection module from a low-frequency sampling mode to a low-frequency full-frequency composite sampling mode according to the fluctuation ratio of the electrical load, and adjusting the data transmission mode of the communication module from a periodic transmission mode to an encrypted transmission mode based on the power generation voltage ripple of the power supply module. The signal transmission frequency band of the communication module is adjusted to be a low frequency band; wherein the alternating transmission frequency of single transmission of the periodic transmission mode is determined according to the average power generation voltage of the power supply module. The working stability of the electric energy meter is improved.

The invention discloses a water affair data transmission method and device for an intelligent water meter, and relates to the technical field of data transmission. Acquiring node information of a target area, initializing a data transmission strategy, and clustering each node according to the node information to obtain an optimal cluster list; dividing the area of the target area according to the optimal cluster list to obtain a sub-area set, and updating a data transmission strategy of the sub-area set; obtaining target data uploaded by each sub-region, determining a link score of the corresponding sub-region according to the target data, and if the link score is less than an abnormal threshold, determining that the transmission link is abnormal; the method is advantaged in that node residual energy and communication success rate are utilized to screen high-energy-efficiency cluster heads, dependence of frequent communication on low-electric-quantity nodes is reduced, equipment life is prolonged, low-efficiency paths are eliminated in real time according to data such as transmission times and energy consumption, redundant transmission is reduced, network overall efficiency is improved, water affair data transmission reliability is improved, and network life is prolonged.

The invention discloses an intelligent electric energy meter data acquisition device, method and equipment for electric carbon metering and a storage medium, and relates to the technical field of electric power systems and carbon emission management, and the device comprises a carbon emission hardware calculation circuit module which verifies frozen data and regional-level electric carbon factors and line loss power of a superior node, and generates carbon emission data; a first non-volatile processor storing carbon emission data; and the second nonvolatile processor and the first nonvolatile processor are backups for each other and store electric quantity freezing data. The device expands a carbon emission metering function at low cost through an idle RS485 port of an existing intelligent electric energy meter, generates a dynamic electric carbon factor through local calculation, accurately calculates carbon emission data, and improves the accuracy of the carbon emission data. The data accuracy, real-time performance and reliability are improved, the centralized calculation burden is relieved, the system modification cost is reduced, large-scale popularization and application are supported, and low-carbon transformation and green power management are effectively promoted.

The invention relates to a meter reading data reliability management system, which comprises a meter reading judgment device and a meter reading data management device, the intelligent data judgment model is used for setting remote meter reading data corresponding to a time interval according to the number of personnel of a target electric meter service family and a target electric meter; intelligently judging whether the remote meter reading data corresponding to the set time interval of the target electric meter is reliable or not according to each piece of remote meter reading data corresponding to each time interval before the set time interval of the target electric meter and each piece of configuration data of the target electric meter; and the mobile reporting device is used for uploading the intelligent judgment result. According to the invention, the artificial intelligence model can be adopted to intelligently judge whether the remote meter reading data of the target electric meter in the set time interval is reliable or not based on the remote meter reading data of the target electric meter in each previous time interval and the associated information of the target electric meter; therefore, an effective judgment basis is provided for the reliability of the remote meter reading data of the electric meter obtained by non-manual meter reading.

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.

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 relates to the technical field of wireless communication, in particular to a wireless communication DT U system for electricity meter acquisition, which comprises a DTU and a data concentrator, and is characterized in that the DTU acquires electricity meter data from an electricity meter terminal through an RS-485 interface; the data concentrator is used for receiving electric meter data acquired by the wireless DTU; the periodic automatic polling module generates an initial task queue according to a Poisson distribution random scheduling algorithm, sends a request to the ammeter terminal according to the time of the task queue through an RS-485 interface and receives response data; and the communication link scheduling module is used for evaluating the communication state of the DTU and the concentrator in real time based on a digital twin model, selecting an optimal scheduling channel by using a multi-target optimization algorithm, confirming the availability of a target channel through a link verification mechanism, completing switching and updating storage. According to the invention, the efficiency and the accuracy of ammeter data acquisition are improved, and the communication stability and the operation safety of the system are greatly improved.

The embodiment of the invention relates to an electricity meter data complementary reading method, which is applied to a concentrator terminal and comprises the following steps: sending a data reading instruction to all electricity meters according to a preset physical address sequence at the beginning of each preset meter reading period; if the effective collection data fed back by the electricity meter is not received within the preset overtime threshold value, establishing a collection missing queue according to the electricity meter information, the data information and the time information; and in the current meter reading period, after the current round of data acquisition is completed, calculating the residual idle time of the current meter reading period and the estimated single-time additional reading time consumption, and performing data additional reading according to the residual idle time of the current meter reading period and the estimated single-time additional reading time consumption. According to the technical scheme provided by the embodiment of the invention, the data which is not successfully acquired is subjected to supplementary reading by utilizing the remaining time of the current meter reading period and the subsequent meter reading period, a layered priority supplementary reading mechanism is provided, the timeliness and fairness of data supplementary reading are considered, and the loss risk of long-term missing acquisition of data can be avoided.

The invention discloses an MBUS (Meter Bus) slave enhancing system, which is suitable for a remote meter reading system of an instrument, and is particularly suitable for an MBUS bus environment with a large number of slaves and complex communication. The enhancement system comprises a main control unit, an MBUS communication interface module, a reset system, a four-way independent MBUS output module, a voltage monitoring module, a current protection module and an abnormity identification and reporting mechanism. And the main control unit communicates with the concentrator through an MBUS interface, analyzes an instruction and controls the states of the four output channels, and each channel can be connected with at most two slaves and supports independent switching and state monitoring. When short circuit, dynamic current interference or abnormal current occurs in a certain path, the system can automatically turn off the path and report abnormal information to the concentrator. The enhanced system supports segmented control and dynamic scheduling of communication loads, the communication stability and the meter reading success rate of the system are remarkably improved, and the enhanced system is particularly suitable for low-power-consumption application in a battery power supply scene. The device can be seamlessly accessed to the existing MBUS system, and has good compatibility.

The invention discloses a smart city water meter reading management system based on the Internet of Things, and relates to the technical field of water meter management, the smart city water meter reading management system comprises a management center, the management center is in communication connection with a meter reading end module, a data processing module, an anomaly analysis module, a monitoring troubleshooting module and an execution module; reading related data of the water meter through a plurality of water meter reading devices arranged on the meter reading end module; block chain encryption, regional data summarization and distributed storage are carried out on the water meter related data through a data processing module, and a to-be-detected data set is generated; performing abnormal value analysis on the to-be-detected data set through an abnormal analysis module to generate fault data and normal data; the monitoring troubleshooting module is used for generating a troubleshooting scheme according to the fault data and submitting the troubleshooting scheme to corresponding troubleshooting personnel for troubleshooting; and the execution module obtains normal data to generate a water fee settlement list, generates a visual report, generates an optimization scheme according to the visual report, and pushes the optimization scheme to a corresponding user.

Communication enabled circuit breakers and circuit breaker panels are described. Methods associated with such communication enabled circuit breakers and circuit breaker panels are also described. A circuit breaker panel may include a circuit breaker controller and one or more communication enabled circuit breakers. Two-way wireless communication is possible between the circuit breaker controller and the one or more communication enabled circuit breakers.

The application discloses a kind of transformer substation in-station instrument automatic meter reading method and system, it is related to power station inspection technical field, including: meter reading work is completed by transformer substation in-station instrument meter reading software, including automatic meter reading module and meter reading photo analysis module;Automatic meter reading module is used to use mobile terminal and main control room computer to establish network communication, obtains meter reading photo by photographing field instrument to mobile terminal, and is returned to main control room computer, is downloaded and is transmitted to meter reading photo analysis module calculation;Meter reading photo analysis module is used to initialize meter reading photo, position target and calculate the instrument contained in meter reading photo, extract the outline of target, identify the edge coordinates of instrument pointer by contour matching mode, calculate the instrument reading pointed by instrument pointer by looking up black and white boundary in binary image.The application can replace artificial field meter reading, automatically obtain the reading of transformer substation instrument by field photo identification, generates instrument data report.

The invention relates to the technical field of intelligent power grids, in particular to an electric energy meter based on the Internet of Things, which comprises an electric energy data real-time monitoring module, an abnormal load identification module, a user notification module, a user demand processing module, a data security management module and an electric energy data transmission module. According to the invention, through analyzing the electric energy use data, adjusting the abnormal identification threshold and matching the power consumption modes in different seasons and time periods, the condition deviating from the conventional power consumption mode is found in real time, the abnormal condition can be timely notified to the user, the management capability of the user on the electric energy use is improved, and the user experience is improved. By collecting energy information requirements of users in different time periods, providing customized energy consumption data, optimizing user satisfaction and encrypting electric energy data, security and integrity of data in a transmission process are ensured, data tampering or unauthorized access is effectively prevented, and efficiency and reliability of a whole power grid are improved.

The invention discloses a wireless low-power-consumption meter reading method and system for an electric energy meter, and relates to the technical field of intelligent management, the basic standby energy consumption of the electric energy meter in a standby state is analyzed, the standby power of the electric energy meter is determined, a standard handshake request packet is continuously sent according to a set initial wake-up period, and in combination with the intensity level of a successful feedback signal, the standby power of the electric energy meter is determined. Analyzing the communication reliability level of the area where the current electric energy meter is located, and determining a communication reliability coefficient; analyzing the power consumption condition of the electric energy meter in the initialization stage, obtaining a total power consumption value, and determining the residual operation cycle duration by combining the residual operation cycle condition of a battery in the electric energy meter; analyzing the sustainable operation level of the electric energy meter in the remaining operation cycle, and determining a sustainable operation index; and judging whether the electric energy meter is in a low-power-consumption sustainable operation state or not in the remaining operation cycle, outputting a wake-up control instruction of a corresponding level, and executing a wireless low-power meter reading task according to a corresponding wake-up cycle.

The invention relates to the field of energy management, in particular to a control method of a low-power-consumption high-precision electric energy meter, which comprises the following steps of: determining an optimal time period by acquiring historical and real-time power consumption data sequences of a user, traversing data lengths in a preset time period, decomposing and extracting characteristic components and calculating a stability characteristic value; and clustering the stability characteristic values of the users in the optimal time period to obtain user classifications of different power consumption types, and marking the users not belonging to the clusters. And calculating the correlation and the abnormal degree value between the real-time power consumption data sequence of the user and the historical data, and dynamically adjusting the data transmission frequency of the communication module of the electric energy meter so as to optimize the energy consumption management and discover the abnormal power consumption behavior in time. The data transmission frequency is dynamically adjusted by calculating the abnormal degree value of the real-time power consumption data of the user, so that abnormal power consumption behaviors are found and processed in time, the response speed and reliability of the system are improved, the energy consumption is reduced, and the service life is prolonged.

The invention relates to the technical field of remote measurement, in particular to a very simple protocol efficient and high-density meter reading method which comprises the following steps: acquiring data frame content, eliminating identity fields, generating a simplified format identifier, constructing a peak shifting scheduling list, detecting sequence consistency, generating a frame supplementing instruction, and dividing synchronous triggering groups to sort meter reading records. According to the method, identity field compression is replaced, frame body space proportion conversion is introduced, data structure content is simplified, a rhythm dislocation sequence is constructed in combination with time migration to achieve high-density node scheduling, frame loss behaviors are screened based on serial number jumping, a frame compensation response task list is automatically constructed, and a synchronous trigger sequence is constructed in combination with time difference judgment. The volume of transmission data is effectively compressed, the utilization rate of channel resources is improved, peak-shifting uploading between nodes is realized to reduce the probability of data collision, overhigh communication load caused by frequent handshake response and multi-level response is avoided, and the continuity, fault tolerance and rhythm collaboration of meter reading scheduling are enhanced.

The present invention discloses a method and system for collecting meter data based on the DLT698.45-2017 protocol. By expanding two types of communication protocols, active query and passive monitoring, in the dictionary table of the gateway machine, presetting the meter model and data point parameters, developing a message encapsulation and parsing interface, and constructing a dual-mode collection mechanism. The method groups and frames the data points according to the serial port and the meter, manages the message sending cycle through a fixed / temporary sending queue, and uses the serial port processing thread to realize automatic PIID self-increment and FCS dynamic calculation. In the active mode, the system can generate query messages according to the reading cycle, and in the passive mode, it can monitor serial port data and filter cross-platform messages. The present invention can effectively improve the efficiency and accuracy of meter data collection, reduce system resource consumption, and ensure data integrity and security. It is suitable for real-time collection of meter data in smart grid and new energy scenarios, and is of great significance to the construction and development of smart grids.

The invention relates to an electric power collection system and method based on a Beidou satellite communication link. The electric power collection system comprises a collection terminal, a Beidou satellite and a Beidou front-end processor which are connected in sequence. The acquisition terminal comprises a pairing module which tries to establish communication connection with the terminal site at various baud rates and various communication protocols, and establishes communication connection with the Beidou satellite through a Beidou short message sending module; the data acquisition module is used for acquiring electric energy data of a terminal station; the internal storage unit is used for recording and storing the Baud rate and the communication protocol used this time in the internal storage unit, and storing the electric energy data in the internal storage unit; the time service module is used for carrying out precise time service operation on the terminal stations or the data acquisition module with the disordered clocks; the Beidou short message sending module is used for analyzing the stored electric energy data into Beidou No.3 short messages and orderly sending the Beidou No.3 short messages to a Beidou satellite according to a specified sending interval; and the Beidou satellite receives the short message and then sends the short message to the Beidou front-end processor.

The invention discloses a remote data transmission method and device for an intelligent electric meter, and particularly relates to the technical field of communication. A sensor is used for monitoring the power consumption condition of a user, collecting voltage, current, power and electricity consumption data, preprocessing the data and storing the data in an internal memory of the electric meter; the microcontroller analyzes the preprocessed data, preliminarily diagnoses network connection, detects whether the network works normally, automatically switches to a standby network after detecting that the network is abnormal, executes a self-diagnosis process, locates a network fault reason, and automatically switches to the standby network after the network connection is normal. The analyzed power consumption data and fault positioning information are packaged and transmitted to a remote server through current network connection, the fault positioning information is transmitted, technicians can be helped to remotely analyze problems, solutions can be prepared in advance, and on-site troubleshooting time is shortened.

The invention discloses an electric energy acquisition terminal based on a distributed database, and relates to the technical field of intelligent power grid management. The electric energy acquisition terminal based on the distributed database comprises an intelligent electric meter; an electric energy data acquisition module; an electric energy transmission delay evaluation module; and an electric energy data verification module. According to the method, after initial acquisition electric energy data is pre-screened, data quality verification and compliance verification are executed, whether qualified acquisition optimization is carried out or not is judged, then electric energy transmission delay evaluation is carried out, and whether electric energy data delay evaluation result optimization is carried out or not is judged; and finally, performing electric energy data verification and storage evaluation, and judging whether to perform electric energy data calibration storage optimization or not, thereby achieving the effect of improving the accuracy in the electric energy data acquisition process based on the distributed database. The problem that in the prior art, the accuracy is low in the electric energy data acquisition process based on a distributed database is solved.

The invention provides an electricity larceny behavior monitoring and evidence obtaining system based on an intelligent fusion terminal, and relates to the technical field of power distribution networks, and the system comprises an electricity utilization information collection master station system, the intelligent fusion terminal, an electricity larceny prevention online monitoring device, and a loop state monitoring unit. The loop state monitoring unit is used for monitoring the state of the metering loop to obtain real-time monitoring electric energy parameters of the metering loop; the intelligent fusion terminal performs analysis according to the real-time monitored electric energy parameters to obtain a current abnormal data record; the electricity consumption information acquisition master station system performs electricity stealing suspicion judgment according to the current abnormal data record and the remote meter reading data of the intelligent fusion terminal; and the power utilization information acquisition master station system is in communication connection with the electricity larceny prevention online monitoring device so as to control the electricity larceny prevention online monitoring device to perform image acquisition when it is judged that the intelligent fusion terminal has an electricity larceny suspicion currently, and a first monitoring image of a scene where the intelligent fusion terminal is located is obtained so as to perform electricity larceny behavior evidence obtaining.

The invention discloses a table instruction conversion system based on an electric energy meter communication protocol, and the system comprises a data collection module which obtains and processes an electric energy meter communication protocol file and a historical manual processing instruction data set; the basic information reading module is used for extracting an input field and a data format and mapping a power grid instruction format to generate a compliance instruction; the instruction missing comparison module is used for comparing the compliance instruction with the historical data set and judging field missing content; the lexicon association and expansion module is used for extracting initial keywords and generating virtual expansion words covering missing scenes; the evaluation storage module is used for verifying the virtual expansion words and storing the virtual expansion words into an expansion associated word bank in a classified manner; the table content information extraction module is used for analyzing the file through an index strategy, automatically extracting content to fill the intelligent table and recording a source; the method has the advantages that electric energy meter communication protocol deep analysis, dynamic lexicon expansion and automatic table instruction generation can be carried out, and electric energy meter data processing refinement and real-time performance are improved.

The invention belongs to the technical field of intelligent water affair management and communication, and discloses an intelligent water affair remote operation and maintenance system based on 5G communication and a fault diagnosis method. Differentiated transmission and edge processing are realized by adopting a network slice and a 5G communication network layer of the MEC; the edge calculation layer is used for carrying out preliminary analysis; the cloud intelligent platform layer is used for converging data, running a fusion space-time and multi-modal information diagnosis model and making a decision; and a remote execution layer for executing the instructions. The method comprises the following steps: transmitting data through a 5G network slice; carrying out edge pretreatment; the cloud uses the model to deeply diagnose and position a fault; and remote control is carried out through 5GuRLLC characteristics based on a diagnosis result. According to the invention, the advantages of 5G communication and advanced diagnosis technology are effectively combined, and the intelligent level, response speed and fault processing precision of operation and maintenance of the water affair system are significantly improved.

The invention relates to the technical field of gas metering, and discloses an ultrasonic gas meter with a novel calibration model and a calibration method thereof.The ultrasonic gas meter comprises an ultrasonic sensor module used for calculating the flow velocity by measuring the propagation time difference of ultrasonic waves in a gas medium; the signal processing module is used for amplifying, filtering and digitally converting the received ultrasonic signals; the microprocessor module is used for calculating and controlling the collected data; and the communication module is used for realizing data communication and system management with a remote server. By introducing a self-adaptive calibration model, a calibration coefficient can be dynamically adjusted according to real-time environmental parameters (such as temperature, pressure and fuel gas components), environmental data are collected through auxiliary sensors such as a temperature sensor and a pressure sensor, and real-time compensation is realized in combination with a machine learning model; and it is ensured that the gas meter can keep high measurement precision under different working conditions.