A load monitoring system based on multi-source data integration

Abstract

The application provides a load monitoring system based on multi-source data integration, and belongs to the technical field of electric load monitoring. The load monitoring system based on multi-source data integration comprises a non-invasive loop inspection instrument, sensors arranged on electric equipment connected with a user end distribution box, and a data processing platform connected with the loop inspection instrument and the sensors. The data processing platform comprises a computer processing terminal, and the computer processing terminal comprises a system data processing platform, a marketing intensive monitoring platform, a power supply service command platform and a customer service module. The method of data acquisition is adopted to realize high-precision data acquisition and transmission. In combination with the functions of data processing, intensive monitoring, service command and customer service, real-time monitoring of circuit nodes and electric equipment is realized. Intelligent identification and management in a big data environment are realized for power failure and suspected power failure, and the service quality for customers and the service content are improved.

Description

Technical Field

[0001] This invention belongs to the field of power load monitoring technology, specifically relating to a load monitoring system based on multi-source data integration. Background Technology

[0002] Since July 20th of this year, Henan Province has been hit by an unprecedented extreme rainstorm disaster, severely damaging the power grid. Affected by the disaster, 7,346 substations belonging to China Unicom, China Mobile, and China Telecom experienced peak outages, with the online rate of data acquisition terminals dropping to as low as 63.5%. More than one-third of power outage events in certain transformer areas could not be reported to the system's main station in a timely manner, severely impacting the accuracy of assessments of affected transformer areas and users. Following the disaster, the data acquisition system suffered severe damage from the severe weather. In some areas, communication was interrupted due to the shutdown of operator base stations, and a large number of data acquisition terminals installed in underground substations were flooded and damp, leading to malfunctions. Consequently, power outage events in related transformer areas could not be reported to the system's main station in a timely manner, severely affecting the accuracy of assessments of affected transformer areas and users.

[0003] Currently, there are three main approaches to power outage monitoring in China: First, based on power data acquisition terminals, comprehensive analysis is conducted on outage records from terminals and corresponding distribution meters. Second, starting from the data source, detailed outage data related to the reliability of the power distribution network is analyzed and verified. Third, power outage alarm devices are installed. None of these methods can fully meet the accurate assessment of outage areas and users during major disasters. A more advanced analytical model is needed to address severe weather events such as typhoons, heavy rain, and blizzards, as well as earthquakes, floods, and other power service incidents, enabling rapid assessment and location of power outages in residential areas, distribution stations, and users, thus facilitating proactive repairs.

[0004] Henan Company, based on the comprehensive analysis of disaster loss statistics and carrying capacity data from multiple data sources, has established a comprehensive power outage assessment model and data collection and assessment thresholds. This is achieved by integrating data from the data acquisition system, distribution automation system, distribution dispatch system, 95598 call logs and work orders, and operator communications. This enables precise monitoring and visualization of power outage and restoration information for residential areas and power distribution substations. Furthermore, carrying capacity analysis models have been established at different levels (province, city, county, and substation), and carrying capacity thresholds have been set for each level. This allows for multi-dimensional monitoring and early warning of carrying capacity for 10kV lines, power distribution substations, and substation managers, providing a basis for decision-making regarding power supply service dispatch resources.

[0005] For example, patent CN 113514717 A focuses on the statistical analysis of electricity consumption by a single household user, suitable for data monitoring under small sample conditions. This non-intrusive power load monitoring system for the power grid suffers from a single database and information source, lacks maintenance and management platforms, has poor system openness, and cannot achieve multi-platform interaction and maintenance management mechanisms. Patent CN 106124852 A only solves the problem of non-intrusive data reading and management; the device's function is similar to a loop inspection instrument and its corresponding data storage, and it is meaningless for power outages or suspected outages under large sample conditions. Summary of the Invention

[0006] The technical problem to be solved by the present invention is to provide a load monitoring system based on multi-source data integration, which is based on the data acquisition of circuit inspection instruments and sensors, the data processing of the system data processing platform, the integration of data in the marketing intensive monitoring platform, and the control, transmission and reading of the power supply service command platform and customer service module.

[0007] To solve the above-mentioned technical problems, the technical solution adopted by the present invention is as follows: A load monitoring system based on multi-source data integration includes a non-intrusive loop detector, which is installed on the connecting lines of power supply equipment and user-end distribution boxes. Sensors are installed on the power consumption equipment connected to the user-end distribution boxes. The loop detector, the sensors, and the data processing platform are connected. The data processing platform includes a data interaction unit and a computer processing terminal connected to the data interaction unit. The computer processing terminal includes a high-performance server, a system data processing platform, a marketing centralized monitoring platform, a power supply service command platform, and a customer service module, all housed within the high-performance server. The system data processing platform includes a data processing module, an event detection module, a feature extraction module, and a load identification module connected in sequence. The marketing integrated monitoring platform includes a power equipment information platform, an information maintenance platform, a disaster loss information statistics and reporting platform, an emergency data identification platform, a suspected power outage area verification platform, and a high-power-consuming residential electricity user verification platform. The emergency data identification platform includes a power outage information database and a suspected power outage information database. The power supply service command platform includes a comprehensive power outage monitoring model, a power outage data sharing protocol, a proactive emergency repair dispatch progress management mechanism, and a power outage sharing mechanism for key customers. The customer service module includes a client connection plugin and an encoding addressing and writing unit connected to the client connection plugin and located within the high-performance server. Relevant data within the system data processing platform and the marketing centralized monitoring platform can be read-only and written through the customer service module. The connection plugins built into the client include the electricity usage details service unit, the electricity usage consultant service unit, and the electricity usage manager service unit, which are set in the "Yu Dian Assistant" and "Yu Dian Butler" APPs.

[0008] Furthermore, the sensor includes a sensing unit with voltage and current detection functions, a wireless signal transmitting chip connected to the sensing unit, and a signal transmission sequence code set on the wireless signal transmitting chip. The sequence code includes a sensor code installed on the application device. The sensor converts the data information collected by the sensing unit into wireless data and transmits it through the wireless signal transmitting chip along with the sequence code.

[0009] Furthermore, the loop inspection device includes a wireless signal transceiver chip and an electronic clock. The loop inspection device has the functions of current sampling, voltage sampling, built-in electronic clock timing, and wireless data transmission and reception. The loop inspection device sends the wireless data received from the sensor, together with the data information monitored by the loop inspection device, to the data interaction unit through the wireless signal transceiver chip.

[0010] Furthermore, the data interaction unit in the data processing platform is connected to the loop inspection instrument for data interaction. The data interaction unit includes an ONE-LINK platform, a wireless signal transceiver base station, and a wired network connection port. The wired network connection port in the data interaction unit is connected to a third-party data transmission interface, which includes data publishing platforms of meteorological stations, earthquake bureaus, and emergency disaster management bureaus.

[0011] Furthermore, the data processing module compiles and processes the data information received by the data processing platform, the event detection module identifies specific data information, the feature extraction module copies and transfers the identified data information that meets the conditions, the load identification module classifies the transferred data information according to specific requirements, and the load identification module divides the power outage-related change information into power outage information and suspected power outage information.

[0012] Furthermore, the power equipment information platform includes data sent by the load identification module in the system data processing platform. The power equipment information platform connects to and integrates information from the data information maintenance platform, the disaster loss information statistics and reporting platform, the suspected power outage area verification platform, and the high-power-consuming residential electricity user verification platform. The power equipment information platform performs preliminary classification of the received data and stores it in the emergency data identification platform. The data information maintenance platform includes information on the modification of electrical equipment, structured storage of transformer area installation addresses, transformer information maintenance, location of newly added electrical equipment, and changes to existing data added to the centralized control platform or the APP maintenance function. The data information maintenance platform is maintained and updated after on-site verification by the transformer area manager. The disaster damage information reporting platform includes information on suspected power outage communities reported by the government and relevant change information transmitted by the power outage data sharing protocol. The suspected power outage area verification platform includes real-time sharing of relevant change information with 95598 for outbound telephone verification, information distributed to area managers for investigation and verification, and continuous updates to the power outage information database based on verification results. The platform for verifying high-energy-consuming residential electricity users includes statistics on high-energy-consuming businesses and households. The emergency data identification platform divides the data within the power equipment information platform and stores it in the corresponding power outage information database and suspected power outage information database. The power outage information database and the suspected power outage information database include relevant change information on the power outage and restoration time and current status of public (dedicated) transformers and users (including important and sensitive users and users with shared meters).

[0013] Furthermore, the power outage panoramic monitoring model is based on the power station-line-transformer-customer archives and topology relationships, and obtains power outage-related data information such as data read from the power equipment information platform, distribution automation, and dispatch automation in real time to construct the power outage panoramic monitoring model and accurately determine the power outage station, line, public (private) transformer, user, and power outage source channel; The power outage data sharing protocol enables the transmission and sharing of dynamic real-time data from the power outage panoramic monitoring model across platforms and screens. The proactive repair dispatch progress management mechanism sends repair work orders to the operators based on the assessment of power outage areas and related user information, and simultaneously notifies affected users via the APP. The proactive emergency repair and dispatch progress management mechanism supports sharing to three-tiered grid WeChat groups. The important customer power outage sharing mechanism includes real-time push of important customer power outage information to the APP and sharing with the area manager.

[0014] The electricity bill service unit includes electricity bill information that users can search, real-time bill information, and detailed electricity bills. The electricity bill information includes monthly electricity bills for residential users, while the real-time bill information includes electricity bills that users can query for a specific date, month, and year. The detailed electricity bill includes total electricity consumption, peak-valley-average electricity consumption, total electricity cost, peak-valley-average electricity cost, electricity cost for different types of household appliances, and a ranking of electricity consumption by household appliances. The electricity consultant service unit includes electricity service information such as suggestions on electricity usage, energy-saving suggestions, and energy-saving tips, which are pushed to users based on their detailed electricity bills.

[0015] Furthermore, the electricity management service unit includes comparing the electricity consumption information collected by the circuit inspection device and the sensors installed on the electrical equipment with the detailed electricity bill. When the electrical equipment has an abnormal voltage value, an alarm is triggered to alert the user and provide detailed abnormal information.

[0016] Traditional non-intrusive load monitoring systems primarily handle single devices or manage integrated smart home systems. While industrial plants employ large-scale power load management mechanisms, they are characterized by simple operating environments, limited variables, and small sample sizes. Their design logic for single data acquisition cannot be directly applied to the power grid. They often suffer from limited space, one-time deployment of monitoring units, poor compatibility with technological upgrades, and a lack of gradual equipment upgrades—characteristics unacceptable to the power grid. Power grid infrastructure development is typically measured in years. Given the current objective law of 18-month overall technological upgrades in the electronics and semiconductor industries, achieving consistency and interface compatibility for basic electrical components is impossible.

[0017] The recent catastrophic floods in Henan Province saw rainfall far exceeding historical records in a short period, resulting in an unprecedented scale and severity of damage. Previous power emergency response efforts typically encountered issues such as individual transformer failures and line breaks. The current power emergency response organizational structure effectively meets the power needs of cities. In rural areas, the branch-style power line deployment, in the early stages before the advent of automated identification systems, significantly reduced construction costs. Within a limited overall budget, this approach provides fundamental support for ensuring comprehensive power supply, accelerating the development of rural power grids, and actively responding to national infrastructure development plans.

[0018] In remote mountainous areas or sparsely populated regions, the economic cost of constructing dual-circuit or triple-circuit power supply systems is prohibitive for original settlements or areas with small permanent populations. Therefore, single-circuit power supply is currently more common.

[0019] The current mainstream smart home concept involves connecting electrical appliances, auxiliary electric devices, and voice acquisition devices to a smart home box. In order to achieve a better display effect, all electrical components are usually set to standby or low-load operation, resulting in long-term power consumption and accelerated aging of components, leading to a huge waste of resources and energy.

[0020] With the development of smart home technology and the widespread recognition of energy conservation and environmental protection, in order to effectively improve the service quality of clients and enrich relevant data, while realizing real-time energy consumption recording for individual electrical equipment units, we provide users with real-time energy consumption records of total household electricity consumption and corresponding appliance electricity consumption, and provide more targeted opinions to clients based on relevant energy consumption characteristic curves.

[0021] In response to the devastating damage to power distribution areas and base stations caused by the recent catastrophic floods in Henan Province, this invention aims to achieve rapid investigation and verification of all nodes, distribution areas, and base stations in the power grid. Based on the premise of urban-rural integration and the requirement of combining emergency repair and maintenance, this invention develops a city-level integrated power grid security management system that is compatible with different protocols, interfaces, and technological advancements, thereby improving the level of power services and designing and optimizing a real-time energy consumption monitoring mechanism.

[0022] Referring to relevant literature such as "How to Build 'Three Types and Two Networks'", "Non-intrusive Power Load Decomposition and Monitoring", "Non-intrusive Load Monitoring Based on Transient Processes", "Research on Key Technologies of Non-intrusive Residential Load Monitoring for Smart Electricity Consumption", "Review of Power User Load Pattern Extraction Technology and Application", "Research on Non-intrusive Load Decomposition Technology Based on Big Data", "Exploration of Demand-Side Management Model Based on User Efficiency Potential Improvement", "A Transient Event Detection Algorithm Applicable to Non-intrusive Load Monitoring", "Design of Smart Electricity Interactive Service Platform Power Grid Technology", "Application Research of Non-intrusive Power Load Decomposition Method Based on Steady-State Harmonic Analysis", "Identification of Household Appliance Load Based on Instantaneous Load Characteristics", and "Residential Load Identification Method Based on Particle Swarm Clustering Algorithm", the relevant technical principles of this invention are improved.

[0023] Adopting a design concept that combines intelligent power grid monitoring with smart home technology, the overall maintenance and operation of the power grid and the service data upgrade of the client are integrated into one. By combining data reading, data processing, terminal control and user feedback, the comprehensive maintenance technology level of the power grid and the coordination mechanism among personnel with different responsibilities are further improved.

[0024] By using loop inspection instruments and sensors as basic data acquisition units, real-time high-precision data acquisition of power grid nodes, substation equipment, user-end distribution boxes, and power consumption units is achieved, providing more accurate data for the control platform, facilitating the construction of the control platform's data model, and providing more accurate data for the user end.

[0025] It relies on a data interaction unit to achieve data interaction with different platforms. It adopts a design concept that is compatible with wired and wireless networks and transmission protocol sharing, so that it can achieve a data sharing mechanism with the vast majority of platforms without additional debugging.

[0026] The system is structured around four core modules: data processing, monitoring platform, command platform, and service module. Based on data processing, it reads transcribed data from loop inspection instruments and sensors, and performs data transcoding, detection, copying, and identification functions, as well as filtering and classifying the received data.

[0027] Based on existing data, the monitoring platform integrates data from multiple information sources to manage verification and stores relevant data in corresponding power outage information databases and suspected power outage information databases.

[0028] Based on a comprehensive power outage monitoring model, a power outage data sharing protocol is established to achieve information sharing mechanisms between departments and across fields. This effectively improves the speed of emergency response, ensures power safety, and establishes a proactive repair and dispatch progress management mechanism. For major and critical issues, the mechanism adjusts the work progress and objectives in real time to prevent serious harm caused by untimely rescue of dangerous projects. A power outage sharing mechanism for important customers is also established to repeatedly confirm whether important customers have received the information and arrange corresponding measures, thereby reducing economic losses caused to customers by sudden power outages.

[0029] The service module integrates and summarizes real-time information from individual power consumption units collected by sensors, allowing customers to conduct targeted searches and access. It also provides targeted suggestions based on power consumption information, promoting energy conservation awareness and improving service quality.

[0030] Compared with the prior art, the beneficial effects of the present invention are as follows: By setting up loop inspection instruments and sensors to monitor real-time energy consumption at nodes, the loop inspection instruments are set up as regional transmission base stations, and short-range signal transmission chips are installed on the sensors to further reduce the cost of widespread device deployment.

[0031] The data interaction unit enables data transmission across various platforms, offering excellent compatibility and scalability. This facilitates compatibility with both new and legacy devices, as well as hardware and system upgrades.

[0032] The system data processing platform, marketing centralized monitoring platform, power supply service command platform, and customer service module are set up as independent architectures to facilitate upgrades and maintenance and reduce the difficulty of updating data within the platform.

[0033] Simplify the sensor's structural design to minimize costs, improve structural stability, reduce size, and facilitate installation within electrical equipment. The loop inspection instrument is mainly used for the testing of power grid equipment and distribution boxes. It has the functions of large measurement range, good anti-interference performance, long data transmission distance and built-in electronic clock time synchronization. It transmits data information along with time information to avoid the problem of receiving time deviation caused by data congestion and reducing data confidence.

[0034] The data processing platform is compatible with third-party data transmission interfaces, enabling comprehensive assessment of influencing factors in different fields, improving the ability to analyze potential damage to the power grid caused by secondary disasters, integrating relevant data, and promoting a data sharing mechanism for people's livelihood. Attached Figure Description

[0035] The present invention will now be described in further detail with reference to the accompanying drawings.

[0036] Figure 1 : A schematic diagram of the processing flow chart of Embodiment 1 of the present invention; Figure 2 : A schematic diagram of the architecture design of the loop inspection instrument and sensor in Embodiment 1 of the present invention; Figure 3 : A schematic diagram of the circuit inspection device structure of the power consumption behavior sensing architecture in Embodiment 1 of the present invention; Figure 4 : A schematic diagram of the typical technical framework for load monitoring in Embodiment 1 of the present invention; Figure 5 : A schematic diagram illustrating the structure of the electricity consumption details service in Embodiment 1 of the present invention; Figure 6 : A schematic diagram illustrating the structure of the electricity consultant service in Embodiment 1 of the present invention; Figure 7 : A schematic diagram illustrating the structure of the electricity management service in Embodiment 1 of the present invention. Detailed Implementation

[0037] To better understand the present invention, the content of the invention is further clearly illustrated below with reference to embodiments and accompanying drawings. However, the scope of protection of the present invention is not limited to the embodiments described below. Numerous specific details are set forth in the following description to provide a more thorough understanding of the invention. However, it will be apparent to those skilled in the art that the present invention can be practiced without one or more of these details. Example 1

[0038] like Figure 1 As shown in Figure 7, a load monitoring system based on multi-source data integration includes a non-intrusive loop detector. The loop detector is installed on the connecting lines of the power supply line's transformer equipment and the user-end distribution box. Sensors are installed on the electrical equipment connected to the user-end distribution box. The loop detector, the sensors, and the data processing platform are connected. The data processing platform includes a data interaction unit and a computer processing terminal connected to the data interaction unit. The computer processing terminal includes a high-performance server, a system data processing platform, a marketing centralized monitoring platform, a power supply service command platform, and a customer service module, all housed within the high-performance server. The system data processing platform includes a data processing module, an event detection module, a feature extraction module, and a load identification module connected in sequence. The marketing integrated monitoring platform includes a power equipment information platform, an information maintenance platform, a disaster loss information statistics and reporting platform, an emergency data identification platform, a suspected power outage area verification platform, and a high-power-consuming residential electricity user verification platform. The emergency data identification platform includes a power outage information database and a suspected power outage information database. The power supply service command platform includes a comprehensive power outage monitoring model, a power outage data sharing protocol, a proactive emergency repair dispatch progress management mechanism, and a power outage sharing mechanism for key customers. The customer service module includes a client connection plugin and an encoding addressing and writing unit connected to the client connection plugin and located within the high-performance server. Relevant data within the system data processing platform and the marketing centralized monitoring platform can be read-only and written through the customer service module. The connection plugins built into the client include the electricity usage details service unit, the electricity usage consultant service unit, and the electricity usage manager service unit, which are set in the "Yu Dian Assistant" and "Yu Dian Butler" APPs.

[0039] The sensor includes a sensing unit with voltage and current detection functions and a wireless signal transmitting chip connected to the sensing unit. The wireless signal transmitting chip is provided with a signal transmission sequence code. The sequence code includes a sensor code installed on the application device. The sensor converts the data information collected by the sensing unit into wireless data and transmits it through the wireless signal transmitting chip along with the sequence code.

[0040] The loop inspection device includes a wireless signal transceiver chip and an electronic clock. The loop inspection device has the functions of current sampling, voltage sampling, built-in electronic clock timing, and wireless data transmission and reception. The loop inspection device sends the wireless data received from the sensor, together with the data information monitored by the loop inspection device, to the data interaction unit through the wireless signal transceiver chip.

[0041] The data interaction unit in the data processing platform is connected to the loop inspection instrument for data interaction. The data interaction unit includes an ONE-LINK platform, a wireless signal transceiver base station, and a wired network connection port. The wired network connection port in the data interaction unit is connected to a third-party data transmission interface, which includes data publishing platforms of meteorological stations, earthquake bureaus, and emergency disaster management bureaus.

[0042] The data processing module compiles and processes the data information received by the data processing platform. The event detection module identifies specific data information. The feature extraction module copies and saves the identified data information that meets the conditions. The load identification module classifies the saved data information according to specific requirements. The load identification module divides the power outage-related change information into power outage information and suspected power outage information.

[0043] The power equipment information platform includes data sent by the load identification module in the system data processing platform. The power equipment information platform connects to and integrates information from the data information maintenance platform, the disaster loss information statistics and reporting platform, the suspected power outage area verification platform, and the high-power-consuming residential electricity user verification platform. The power equipment information platform performs preliminary classification of the received data and stores it in the emergency data identification platform. The data information maintenance platform includes information on the modification of electrical equipment, structured storage of transformer area installation addresses, transformer information maintenance, location of newly added electrical equipment, and changes to existing data added to the centralized control platform or the APP maintenance function. The data information maintenance platform is maintained and updated after on-site verification by the transformer area manager. The disaster damage information reporting platform includes information on suspected power outage communities reported by the government and relevant change information transmitted by the power outage data sharing protocol. The suspected power outage area verification platform includes real-time sharing of relevant change information with 95598 for outbound telephone verification, information distributed to area managers for investigation and verification, and continuous updates to the power outage information database based on verification results. The platform for verifying high-energy-consuming residential electricity users includes statistics on high-energy-consuming businesses and households. The emergency data identification platform divides the data within the power equipment information platform and stores it in the corresponding power outage information database and suspected power outage information database. The power outage information database and the suspected power outage information database include relevant change information on the power outage and restoration time and current status of public (dedicated) transformers and users (including important and sensitive users and users with shared meters).

[0044] The power outage panoramic monitoring model is based on the power station-line-transformer-customer archives and topology relationships. It acquires power outage-related data information such as data read from the power equipment information platform, distribution automation, and dispatch automation in real time, and constructs a power outage panoramic monitoring model to accurately determine the power station, line, public (private) transformer, user, and power outage source channel. The power outage data sharing protocol enables the transmission and sharing of dynamic real-time data from the power outage panoramic monitoring model across platforms and screens. The proactive repair dispatch progress management mechanism sends repair work orders to the operators based on the assessment of power outage areas and related user information, and simultaneously notifies affected users via the APP. The proactive emergency repair and dispatch progress management mechanism supports sharing to three-tiered grid WeChat groups. The important customer power outage sharing mechanism includes real-time push of important customer power outage information to the APP and sharing with the area manager.

[0045] The electricity bill service unit includes electricity bill information that users can search, real-time bill information, and detailed electricity bills. The electricity bill information includes monthly electricity bills for residential users, while the real-time bill information includes electricity bills that users can query for a specific date, month, and year. The detailed electricity bill includes total electricity consumption, peak-valley-average electricity consumption, total electricity cost, peak-valley-average electricity cost, electricity cost for different types of household appliances, and a ranking of electricity consumption by household appliances. The electricity consultant service unit includes electricity service information such as suggestions on electricity usage, energy-saving suggestions, and energy-saving tips, which are pushed to users based on their detailed electricity bills.

[0046] The electricity management service unit includes comparing the electricity consumption information collected by the circuit inspection device and the sensors installed on the electrical equipment with the detailed electricity bill. When the electrical equipment has an abnormal voltage value, an alarm is triggered to alert the user and provide detailed abnormal information.

[0047] In use, the sensor is first installed in the power unit of the client, and the sensor installed in the client is numbered and the number information is stored in the sensor and the high-performance server; at the same time, the loop inspection instrument is installed on the power equipment in the power supply line and the connection line in the user end distribution box, the loop inspection instrument is connected to the power supply line, and the code of the loop inspection instrument, together with the sensor number within the wireless transmission range of the sensor with the loop inspection instrument as the center point, is stored in the loop inspection instrument.

[0048] The data interaction unit is used to establish a data connection between the data processing platform and the loop detector. Signal verification is then performed on the loop detector and the sensors using the loop detector as a transmission relay unit, thus completing the installation of the device.

[0049] During operation, the loop inspection device collects data on voltage, current, time, and serial number, as well as data received from sensors. This data is converted into electrical signals and sent to the data processing platform, where it interacts with other data via a data interaction unit. The data processing platform then processes the received data through a series of steps: a data processing module converts the electrical signals back into physical data; an event detection module filters the data; a feature extraction module replicates and transcribes data that meets the filtering criteria; and a load identification module identifies and classifies the replicated and transcribed data.

[0050] The power equipment information platform integrates and distinguishes the identified and classified data information obtained from the system data processing platform, the real-time updated information of power equipment and related units stored in the information maintenance platform, the information on losses caused by disasters submitted by the disaster loss information statistics and reporting platform, the real-time updated information of suspected power outage verification from the suspected power outage area verification platform, and the abnormal power consumption information of units and households from the residential high power consumption user verification platform. The distinguished information is then stored in the power outage information database and suspected power outage information database in the corresponding emergency data identification platform.

[0051] The marketing-integrated monitoring platform reads relevant change information from the emergency data identification platform in real time and inputs its variable data into the power outage panoramic monitoring model for full-scale simulation calculations. The calculated data is used to control and adjust the proactive repair dispatch progress management mechanism. Simultaneously, the calculation results are transmitted to other signatory organizations or platforms via a power outage data sharing protocol. When emergency repairs or power outages are confirmed, the critical customer power outage sharing mechanism proactively contacts customers to confirm the outage information, avoiding impact on critical customers.

[0052] Based on the customer service module, we make full use of the real-time energy consumption data collected from the whole system and individual electrical devices as data samples to provide customers with detailed comparisons of real-time data on total electricity consumption and regular cyclical characteristics. At the same time, we provide customers with targeted suggestions based on their electricity consumption habits. Example 2

[0053] This embodiment is an optimization based on Embodiment 1.

[0054] The circuit inspection instrument and the sensor adopt built-in small DC power supply technology.

[0055] When the sensor detects current and voltage data, the sensor's own energy consumption parameter should be subtracted.

[0056] The energy consumption data detected by the circuit inspection instrument includes the energy consumption of electrical equipment on the power supply line and the energy consumption of sensors installed on the electrical equipment.

[0057] The loop inspection instrument is equipped with an isolated ADC and an isolated MCU structure to avoid the impact of electromagnetic interference on the accuracy of the acquired data.

[0058] The use of low DC power supply technology extends the service life of circuit inspection instruments and sensors.

[0059] Further considering the energy consumption of the data reading unit itself, the online energy consumption of the collected energy consumption data and other circuit inspection instruments and sensors connected to the power equipment are deducted to further improve the accuracy of system data acquisition. Example 3

[0060] This embodiment is an optimization based on Embodiment 1.

[0061] The sensing unit includes a T22 voltage detection module, a current detection module, and an NA226 module / CJMCU-226 voltage, current and power monitor.

[0062] The wireless transceiver chip and the wireless signal transmitting chip include a SIM800C quad-band GSM / GPRS module and a QFN16 wireless transceiver chip.

[0063] The high-performance server is connected to a storage unit, which includes a solid-state drive, a hard disk drive matrix, and recording tapes.

[0064] Adding storage units enables data preservation, facilitating later data management and retrieval.

[0065] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some modifications or alterations to the above-disclosed technical content to create equivalent embodiments without departing from the scope of the present invention. Any simple modifications, equivalent changes, and alterations made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the scope of the present invention. Detailed Description To further illustrate the technical means and effects of the present invention in achieving the intended purpose, the following describes the specific implementation methods, structures, features and effects of the present invention in conjunction with the accompanying drawings and preferred embodiments.

Claims

1. A load monitoring system based on multi-source data integration, characterized in that: The system includes a non-intrusive loop inspection device, which is installed on the connecting lines of the power supply line, the power equipment and the user-end distribution box. Sensors are installed on the power equipment connected to the user-end distribution box. The loop inspection device is connected to the sensors and the loop inspection device is connected to a data processing platform. The data processing platform includes a data interaction unit and a computer processing terminal connected to the data interaction unit. The computer processing terminal includes a high-performance server, and a system data processing platform, a marketing centralized monitoring platform, a power supply service command platform, and a customer service module installed in the high-performance server; The system data processing platform includes a data processing module, an event detection module, a feature extraction module, and a load identification module connected in sequence. The marketing integrated monitoring platform includes a power equipment information platform, an information maintenance platform, a disaster loss information statistics and reporting platform, an emergency data identification platform, a suspected power outage area verification platform, and a high-power-consuming residential electricity user verification platform. The emergency data identification platform includes a power outage information database and a suspected power outage information database; The power supply service command platform includes a comprehensive power outage monitoring model, a power outage data sharing protocol, a proactive emergency repair dispatch progress management mechanism, and a power outage sharing mechanism for key customers. The customer service module includes a client connection plugin and an encoding addressing and writing unit connected to the client connection plugin and located within the high-performance server. Relevant data within the system data processing platform and the marketing centralized monitoring platform can be read-only and written through the customer service module. The connection plugins built into the client include the electricity usage details service unit, the electricity usage consultant service unit, and the electricity usage manager service unit, which are set in the "Yu Dian Assistant" and "Yu Dian Butler" APPs.

2. The load monitoring system based on multi-source data integration as described in claim 1, characterized in that: The sensor includes a sensing unit with voltage and current detection functions and a wireless signal transmitting chip connected to the sensing unit. The wireless signal transmitting chip is provided with a signal transmission sequence code. The sequence code includes a sensor code installed on the application device. The sensor converts the data information collected by the sensing unit into wireless data and transmits it through the wireless signal transmitting chip along with the sequence code.

3. The load monitoring system based on multi-source data integration as described in claim 1, characterized in that: The loop inspection device includes a wireless signal transceiver chip and an electronic clock. The loop inspection device has the functions of current sampling, voltage sampling, built-in electronic clock timing, and wireless data transmission and reception. The loop inspection device sends the wireless data received from the sensor, together with the data information monitored by the loop inspection device, to the data interaction unit through the wireless signal transceiver chip.

4. The load monitoring system based on multi-source data integration as described in claim 1, characterized in that: The data interaction unit in the data processing platform is connected to the loop inspection instrument for data interaction. The data interaction unit includes an ONE-LINK platform, a wireless signal transceiver base station, and a wired network connection port. The wired network connection port in the data interaction unit is connected to a third-party data transmission interface, which includes data publishing platforms of meteorological stations, earthquake bureaus, and emergency disaster management bureaus.

5. A load monitoring system based on multi-source data integration as described in claim 1, characterized in that: The data processing module compiles and processes the data information received by the data processing platform. The event detection module identifies specific data information. The feature extraction module copies and saves the identified data information that meets the conditions. The load identification module classifies the saved data information according to specific requirements. The load identification module divides the power outage-related change information into power outage information and suspected power outage information.

6. A load monitoring system based on multi-source data integration as described in claim 5, characterized in that: The power equipment information platform includes data sent by the load identification module in the system data processing platform. The power equipment information platform connects to and integrates information from the information maintenance platform, the disaster loss information statistics and reporting platform, the suspected power outage area verification platform, and the high-power-consuming residential electricity user verification platform. The power equipment information platform performs preliminary classification of the received data and stores it in the emergency data identification platform. The information maintenance platform includes information on the modification of electrical equipment, structured storage of transformer area installation addresses, transformer information maintenance, location of newly added electrical equipment, and changes to existing data added to the centralized control platform or the APP maintenance function. The information maintenance platform is maintained and updated after on-site verification by the transformer area manager. The disaster damage information reporting platform includes information on suspected power outage communities reported by the government and relevant change information transmitted by the power outage data sharing protocol. The suspected power outage area verification platform includes real-time sharing of relevant change information with 95598 for outbound telephone verification, information distributed to area managers for investigation and verification, and continuous updates to the power outage information database based on verification results. The platform for verifying high-energy-consuming residential electricity users includes statistics on high-energy-consuming businesses and households. The emergency data identification platform divides the data within the power equipment information platform and stores it in the corresponding power outage information database and suspected power outage information database. Both the power outage information database and the suspected power outage information database include information on the power outage and restoration times and current status changes of public or dedicated transformers and users. Users include important and sensitive users and users with shared meters.

7. A load monitoring system based on multi-source data integration as described in claim 1, characterized in that: The power outage panoramic monitoring model is based on the power station-line-transformer-customer archives and topology relationships. It acquires power outage-related data information such as data read from the power equipment information platform, distribution automation, and dispatch automation in real time, and constructs a power outage panoramic monitoring model to accurately determine the power station, line, public or private transformer, user and the source of the power outage. The power outage data sharing protocol enables the transmission and sharing of dynamic real-time data from the power outage panoramic monitoring model across platforms and screens. The proactive repair dispatch progress management mechanism sends repair work orders to the operators based on the assessment of power outage areas and related user information, and simultaneously notifies affected users via the APP. The proactive emergency repair and dispatch progress management mechanism supports sharing to three-tiered grid WeChat groups. The important customer power outage sharing mechanism includes real-time push of important customer power outage information to the APP and sharing with the area manager.

8. A load monitoring system based on multi-source data integration as described in claim 1, characterized in that: The electricity bill service unit includes electricity bill information that users can search, real-time bill information, and detailed electricity bills. The electricity bill information includes monthly electricity bills for residential users, while the real-time bill information includes electricity bills that users can query for a specific date, month, and year. The detailed electricity bill includes total electricity consumption, peak-valley-average electricity consumption, total electricity cost, peak-valley-average electricity cost, electricity cost for different types of household appliances, and a ranking of electricity consumption by household appliances. The electricity consultant service unit includes electricity service information such as suggestions on electricity usage, energy-saving suggestions, and energy-saving tips, which are pushed to users based on their detailed electricity bills.

9. A load monitoring system based on multi-source data integration as described in claim 8, characterized in that: The electricity management service unit includes comparing the electricity consumption information collected by the circuit inspection device and the sensors installed on the electrical equipment with the detailed electricity bill. When the electrical equipment has an abnormal voltage value, an alarm is triggered to alert the user and provide detailed abnormal information.

Images