104results about How to "Realize intelligent management" patented technology

The invention discloses a rotor surface magnetic field characteristic real-time monitoring and damage assessment system and method, and relates to the technical field of damage assessment. According to the method, a rotor surface magnetic field is monitored in real time under different rotating speed conditions, detailed magnetic field change data information is collected, the monitoring means can dynamically capture the magnetic field fluctuation condition, and the damage assessment accuracy is improved. According to the method, the damage prediction model is constructed by using the deep learning technology, the relevance between the damage prediction model and the rotating speed of the rotor is analyzed, early detection and classified evaluation of the unbalance condition are ensured, accurate data support is provided for further damage analysis, and accurate evaluation of the surface damage of the rotor is realized by using the deep learning technology to construct the damage prediction model and combining the unbalance type and the magnetic field change data. Meanwhile, the damage evaluation index is subjected to linear normalization processing, the influence between different data dimensions can be eliminated, and the evaluation result is more stable and reliable. And whether the damage state of the rotor surface is abnormal or not is judged in time by comparing and analyzing the damage evaluation index and a threshold value.

The invention discloses an energy consumption optimization control method and system for heating and ventilation equipment, and the method comprises the steps: carrying out the comprehensive evaluation of the energy consumption condition of the heating and ventilation equipment, and recognizing the current energy consumption condition and energy-saving potential of the equipment; the system is connected with heating and ventilation equipment through the Internet of Things technology, and collects parameters of the heating and ventilation equipment in real time. Based on the preprocessed data, establishing energy consumption models of the water chilling unit, the cooling tower, the freezing pump and the cooling pump; building an energy consumption prediction regression model by adopting a decision tree algorithm, and predicting the total energy consumption of the heating and ventilation system in real time; according to the predicted energy consumption data, an optimization control strategy of the heating and ventilation equipment is formulated in combination with a set energy consumption control objective function; and applying the formulated optimization control strategy to the heating and ventilation equipment, carrying out real-time monitoring and feedback, and carrying out iterative optimization on the control strategy according to an actual effect. According to the method, comprehensive evaluation, real-time monitoring and optimal control of the energy consumption of the heating and ventilation equipment can be realized, and a powerful guarantee is provided for energy conservation and emission reduction of a building.

The invention relates to a lithium ion battery grouping method. The method comprises the following steps: performing low-current formation charging on battery cells, and monitoring and removing abnormal battery cells; then carrying out aging treatment and screening abnormal battery cells; based on the relationship between the voltage and the state of charge, adjusting the electric quantity of the battery cell and evaluating the capacity of the single battery cell through a series of tests; finally, the evaluated battery cells form a battery pack, the overall performance of the battery pack is detected by calculating the voltage difference and large-current pulse discharge impedance, grouping is completed, and effective evaluation and guarantee of the battery performance are achieved. Compared with the prior art, the method has the advantages that the electric quantity is directly adjusted to the shipment electric quantity requirement by adopting a simple process step after the battery cell formation is finished, the traditional full-full discharge capacity test process step is replaced, and control means such as voltage difference and DCR are introduced in the process are replaced, and on the basis of ensuring the battery consistency and capacity, the battery cell production and manufacturing time is shortened, and the cost is greatly reduced.

The present invention discloses a posture recognition management system and method for factory operators, and relates to the technical field of factory operation safety management. The system comprises a video image acquisition module, a target detection module, a behavior recognition module, a violation detection module, an alarm module, a recording module and a QT5 integration module which are operated in sequence. The application scenario of the whole management system is to identify and manage operators and automation equipment in the factory. The technical key points are as follows: in view of the problem that the behavior recognition in the factory scenario in the prior art is prone to false alarms, the present invention proposes a system for detecting violation behaviors of human-object interaction in the factory. The system integrates target detection and behavior recognition algorithms, can monitor the interaction between factory operators and equipment in real time, accurately identify possible violation behaviors, and send out alarm signals in time to improve the safety management level of the factory.

The invention belongs to the technical field of power distribution cabinets, and particularly relates to an intelligent control loop control method and system for a power distribution cabinet, and the system comprises a sensor module, a control unit module, a wireless communication module, and a remote monitoring center. The sensor module collects the voltage, current, temperature and smoke concentration of each loop in the power distribution cabinet, the sensor module transmits the collected data to the control unit module for processing and analysis, and the control unit module receives the data transmitted by the sensor module through a network and sends the data to the power distribution cabinet. The control unit module is used for processing and analyzing the data according to a preset algorithm and judging whether the power supply state is abnormal or not, and when the power supply state is abnormal, the control unit module immediately sends emergency alarm information to a remote monitoring center through the wireless communication module, so that quick response and processing are facilitated. According to the invention, a microprocessor is integrated as a core control unit, and a sensor network is combined to realize real-time monitoring and intelligent management of the power supply state of each loop in the power distribution cabinet.

The invention provides a power plant real-time dynamic control and operation management system based on big data twinning, and belongs to the technical field of data processing, and the system comprises a construction module which obtains spatial structure data and full-working-condition full-physical process data of a power plant, and constructs a big data twinning three-dimensional simulation model; the analysis module is used for acquiring historical operation data and historical environment data of the power plant and determining an operation strategy expectation matrix of the power plant; the operation module is used for collecting real-time operation data and real-time environment data of the power plant in real time and determining a real-time operation vector of the power plant; the control module is used for determining a real-time dynamic control strategy of the power plant; and the management module is used for generating a synchronous operator operation guidance dynamic report and an index optimization report. Global monitoring and intelligent management of power plant operation can be realized, a control strategy can be accurately and timely adjusted, the small-index operation efficiency of the power plant under different working conditions is optimized, the energy utilization rate is improved, the equipment fault risk is reduced, and the flexibility and adaptability of system adjustment are ensured.

The invention discloses a correction type technique supervision and analysis system, and the key points of the technical scheme are that the system comprises the following steps: data collection and preprocessing, mode recognition and modeling, anomaly detection and evaluation, correction and feedback mechanism, personalized recommendation and service optimization, and visualization and reporting. Comprehensive optimization and fine management of the whole massage service process can be realized through the modified form manipulation supervision and analysis system, and the system identifies and predicts customer demands and potential abnormal conditions by utilizing an intelligent algorithm through accurately collecting and processing physiological and psychological data and massage manipulation information of customers. Improper techniques or risk behaviors are found and corrected in time, a personalized recommendation mechanism automatically adjusts a massage scheme according to health conditions and preferences of customers, and through a clear visual interface and a real-time report, the service quality and customer satisfaction are improved, and intelligentization, personalization and high efficiency of massage services are achieved.

The utility model discloses a total moisture testing system which comprises a transfer module, a division module, a drying oven weighing module, a rejected sample recycling module, a sample bottle receiving, sending and storing module and a control assembly, the division module is used for dividing a sample in a sample bottle into a test sample and a prepared sample, loading the test sample into a tray, and loading the prepared sample into a bottle; the oven weighing module is used for temporarily storing a sample tray and drying and weighing the sample tray filled with a test sample, and the test sample subjected to constant weight treatment is changed into a rejected sample; the discarded sample recovery module is used for recovering discarded samples and cleaning sample plates; the sample bottle receiving, sending and storing module is used for receiving, sending and storing sample bottles filled with original samples and prepared samples; the transfer module is used for transferring the sample bottles and the sample trays among the stations; the control assembly is used for controlling all the modules to work. The total moisture testing system disclosed by the utility model has the advantages of high automation degree, high testing efficiency, convenience in sample preparation and high testing accuracy.

The present application belongs to the technical field of cleaning management, and specifically provides a combined cleaning monitoring device, which aims to solve the problem of poor management of mop and wiping material cleaning and use. The present application comprises a cleaning host, a hanging device and an RFID reader. The mop comprises a mop cloth, and the mop cloth and the wiping material are provided with RFID tags. The RFID reader identifies and reads the RFID tags. The cleaning host comprises a mop cleaning device, a wiping material cleaning device, a first RFID reader and a control module. The mop cleaning device is used for cleaning the mop cloth, and the wiping material cleaning device is used for cleaning the wiping material. The hanging device comprises a hanging mechanism, a second RFID reader and a display. The hanging device is used for monitoring the use of the mop and the wiping material. The present application can intelligently identify, clean and disinfect the mop and the wiping material, and monitor and display the cleaning use. It is beneficial for managers and the public to jointly supervise the cleaning and use of the mop cloth and the wiping material, and realizes intelligent management of the cleaning and use of the mop and the wiping material.

A power plant cable whole life cycle monitoring method based on whole-process identification and mobile terminal code scanning belongs to the technical field of cable monitoring. The method constructs a four-layer architecture of "perception layer-network layer-platform layer-application layer", uses Ecode128 coding of GB / T31866-2023 standard as the unique identification of the cable, and realizes whole-process identification binding by combining two-dimensional code and digital character combination identification carrier. The mobile terminal code scanning is used to realize paperless collection of field data, which is uploaded to the management platform based on the SpringBoot framework through 4G / 5G / Wi-Fi / data line and other transmission modes. The platform adopts front-end and back-end separation design, the back-end integrates SpringMVC and MyBatis-Plus, and the front-end realizes visual display through Vue.js. The function modules of design, construction, operation and maintenance, state monitoring and retirement are developed and designed, and the whole life cycle digital closed-loop management of the cable from design to retirement is realized. The present application effectively solves the technical problems of information dispersion, low efficiency, single monitoring and extensive management in the traditional cable management mode, and significantly improves the fine and intelligent level of cable management.

The present invention relates to the field of medical health and information technology, and specifically to a children's oral health management system based on big data, including: a data acquisition module, a data processing module, a data prediction module and a control module, wherein the data acquisition module includes an acquisition component and a collection device; when the predicted oral health condition is that the teeth cleanliness is not up to standard, the control module determines whether the vibration frequency matches according to the existing vibration frequency data of the electric toothbrush in the data acquisition module; when the predicted oral health condition is that the gums are red and swollen, the control module sends an instruction to the user's wearable health monitoring device to increase the number of oral cleaning times; when the predicted oral health condition is that bleeding occurs, the control module determines whether the cause of bleeding is caused by the electric toothbrush in the data acquisition module. The present invention is used to establish an accurate prediction model by integrating big data and artificial intelligence, so as to achieve comprehensive, accurate and personalized management of children's oral health.

The present application belongs to the technical field of cleaning, and specifically provides an integrated intelligent cleaning device, which aims to solve the problems of time-consuming and labor-consuming, poor user experience and poor cleaning management of cleaning tools. The present application comprises a mop cleaning device, a wiping material cleaning device, a tool disinfecting device, an RFID reader and a control module. The mop and the wiping material are provided with RFID tags, and the RFID reader identifies and reads the RFID tags. The mop cleaning device is used for cleaning the mop, the wiping material cleaning device is used for cleaning the wiping material, and the tool disinfecting device is used for storing and disinfecting other cleaning tools such as brooms. The present application integrates the three devices into one, intelligently identifies, cleans and disinfects and monitors the cleaning and disinfection of various cleaning tools, which not only saves time and labor, saves space and provides good user experience, but also realizes intelligent management of cleaning and disinfection of cleaning tools.

The invention relates to a multifunctional intelligent aloe bin, and relates to the field of artificial climate boxes, the multifunctional intelligent aloe bin comprises a planting bin, a plurality of brackets vertically arranged in the planting bin at intervals, and planting trays arranged above the brackets, and the planting bin is divided into a plurality of cultivation bin chambers by the planting trays; the environment sensor is arranged in the planting bin and used for detecting environment parameters; the execution mechanism is arranged in the planting bin and used for adjusting the growth environment or supplying growth substances; the control terminal is connected to the environment sensor, is arranged on the planting bin or is in communication connection with the planting bin, comprises a human-computer interaction interface and is configured to establish communication connection with a remote experimenter terminal; a control instruction from the remote experimenter terminal is received and responded to drive the execution mechanism to act; and data detected by the environment sensor is sent to a remote experimenter terminal. According to the invention, the experiment requirements of real-time monitoring and flexible control are met, and the experiment accuracy is improved.

The invention discloses a garbage collection vehicle collection and transportation scheduling system, which is characterized by comprising one or more garbage collection vehicles, the garbage cans are placed at different positions; the cloud platform is connected to each garbage collection vehicle and each garbage can in a wireless mode so as to collect and process information related to the garbage collection vehicles and the garbage cans; the vehicle-mounted terminals are arranged on all the garbage collection vehicles so as to send the positioning information and the working condition information of the garbage collection vehicles where the vehicle-mounted terminals are located to the cloud platform; and the detection devices are arranged on all the garbage cans so as to send the positioning information and the material level information of the garbage cans where the detection devices are located to the cloud platform. The invention also discloses a scheduling method for the garbage collection vehicle collection and transportation scheduling system.

The invention discloses a modeling platform for controllable intelligent photovoltaic management, and belongs to the technical field of photovoltaic energy. The platform comprises a storage layer, a calculation layer, a modeling integration layer and an interaction layer. The storage layer is used for being responsible for accessing and managing a plurality of data sources of the photovoltaic management platform; the computing layer is used for executing large-scale data processing tasks according to the data sources in the storage layer; the modeling integration layer is used for constructing and training a machine learning model according to the calculation layer and carrying out data analysis; and the interaction layer is used for performing user interaction and result display according to the analysis result of the modeling integration layer. According to the invention, big data processing, intelligent operation and maintenance, adaptive model optimization and deep learning capabilities are integrated, and the photovoltaic management level is comprehensively improved.

The present application relates to the technical field of sunlight greenhouse, in particular to a large-span ventilation type sunlight greenhouse and its using method, which realizes automatic fine and intelligent management of temperature and humidity, improves the anti-collapse effect of the greenhouse and the reliability of use by implementing different ventilation mechanisms according to different seasonal climates; comprising a base, a support framework and a heat preservation film; a plurality of support frameworks are installed on the base; the heat preservation film is covered on the outer top of the plurality of support frameworks; a snow shaker is arranged between the support framework and the heat preservation film, and a temperature and humidity sensor and a wind speed and direction sensor are arranged on the inner side wall of the support framework; further comprising a supporting device, a ventilation assembly, a reinforcing assembly, a support beam, a first heat preservation wall, a second heat preservation wall, a top air outlet and a cover plate; a plurality of support beams are installed between the plurality of support frameworks; the first heat preservation wall is arranged at the rear part of the outer side wall of the plurality of support frameworks.

This invention discloses a real-time visualization system and method for multiple port areas, relating to the field of data visualization. The system includes a real-time port area data acquisition and access module, a port area scheduling data visualization module, a loading and unloading machinery and equipment operation status visualization module, an AIS data access visualization module for vessels not yet arriving at the port, a multi-indicator layer visualization control module, and a multi-menu data visualization information center. It aims to connect with video surveillance equipment, weather forecast data, vessel scheduling data, and equipment control systems deployed in various port areas through standardized interfaces. AIS data enables real-time acquisition, unified aggregation, and preprocessing of multi-source data in the port area. It flexibly overlays multiple business-themed layers, such as the distribution of port facilities and pipelines, to provide a real-time and accurate data foundation for upper-level visualization applications, achieving one-stop port operation situation awareness.

The invention discloses a message pushing method and device, and the method comprises the steps: monitoring the online state of a user in real time when online consultation is started, obtaining the latest consultation reply information when the online state of the user is monitored to be an offline state, and taking the consultation reply information as offline information; performing message value analysis on the offline information to obtain a value level corresponding to the offline information, the value level including a push level and a non-push level; and processing the offline information according to the value level so as to end the current online consultation or push the offline information to the user. According to the message pushing method and device, the online state of the user is monitored in real time, value analysis is conducted on the offline information, intelligent management of message pushing is achieved, it is guaranteed that the user can receive important information, excessive interference to the user is avoided, and the user experience is improved.

The present invention relates to the field of automatic control technology, and in particular to an intelligent ranch concentrate control management method and system based on the Internet of Things. The method comprises the following steps: obtaining livestock growth status data; using sensors to collect environmental parameters of a ranch management module to obtain ranch environmental parameter information; collecting feed demand data of the ranch management module in real time based on the livestock growth status data and the ranch environmental parameter information to obtain ranch feed demand data; extracting feed components from the ranch feed demand data to generate ranch feed component data. The present invention realizes centralized batching and unified production of feed through an automatic control system based on livestock growth status data and ranch environmental parameter information through the Internet of Things technology, data processing technology, automatic control technology, and intelligent management technology; realizes real-time monitoring of the remaining inventory of feed, and automatically issues inventory warnings to improve the accuracy of ranch feed control.

The present application belongs to the technical field of cleaning vehicles, and provides a cleaning vehicle with intelligent cleaning and disinfecting function of wiping materials, which aims to solve the problems of untimely cleaning and disinfecting and poor cleaning management of the wiping materials matched with the cleaning vehicle. The present application comprises wiping materials, a cleaning vehicle and a cleaning and disinfecting device. The cleaning vehicle is provided with the cleaning and disinfecting device, a clean water tank, a disinfectant container and a water pumping assembly. The cleaning and disinfecting device is provided with a cleaning cavity and an RFID reader. The wiping materials are provided with an RFID tag. The RFID reader identifies and reads the RFID tag. The water pumping assembly can pump the disinfectant in the disinfectant container into the cleaning cavity. The water pumping assembly can pump the clean water in the clean water tank into the cleaning cavity. The cleaning and disinfecting device is used for cleaning and disinfecting the wiping materials and monitoring the cleaning and disinfecting condition. The present application can intelligently identify the wiping materials, timely clean and disinfect the wiping materials and monitor the cleaning and disinfecting condition. The present application not only saves time and effort, has good cleaning and disinfecting effect, but also realizes intelligent management of the cleaning and disinfecting of the wiping materials.

The present application relates to mop use management technical field, especially a kind of mop use management method, comprising the following steps: step S1, monitoring extension is set in the monitoring point of the area to be cleaned, and cleaning personnel use the mop attached with RFID tag to carry out cleaning work in the area to be cleaned, and the RFID reader on monitoring extension obtains the use area information of mop cloth, and is transmitted to database and is stored;Step S2, processing module obtains the relevant information of corresponding mop cloth from database according to ID number and carries out analysis processing, whether mop cloth is used in subarea according to preset use information, and the judgment result information is transmitted to management receiving end.The present application carries out intelligent identification and monitoring use area to mop, and realizes the intelligent management of mop use.

The invention belongs to the technical field of prevention, drainage and water storage, and discloses a planting roof drainage and water storage system which comprises an intelligent drainage module, an intelligent water storage module, an environment monitoring and regulating module and a plant growth assisting module. The intelligent drainage module, the intelligent water storage module, the environment monitoring and regulation module and the plant growth assisting module cooperate with one another, and intelligent management of the planting roof water prevention, drainage and storage process and optimization of the plant growth environment are achieved. Through mutual cooperation of the intelligent drainage module, the intelligent water storage module, the environment monitoring and regulation module and the plant growth assisting module, comprehensive intelligent management of the planting roof water prevention, drainage and storage process and precise optimization of the plant growth environment are achieved. In practical application, each module dynamically adjusts the operation state according to data monitored in real time, and the defect that each part of a traditional planting roof system operates independently and is lack of collaboration is avoided.

The utility model discloses a split liquid cooling and heat dissipation system for a charging pile, belonging to the technical field of heat dissipation systems. It includes a control cabinet body, a liquid cooling and heat dissipation component, a charging pile, a central control module, a communication module and a temperature sensor. A plurality of installation and disassembly modules are installed at equal intervals inside the control cabinet body. The liquid cooling and heat dissipation component includes a liquid cooling module and a cabinet body cooling component. By the above method, the plurality of installation and disassembly modules of the utility model are independently arranged, and the faulty module can be replaced or repaired separately without disassembling the whole device, reducing the maintenance complexity and downtime cost. The liquid cooling module cools the main heat generating components inside the control cabinet body, and the cabinet body cooling component cools the whole inside of the control cabinet body, so as to keep the inside of the cabinet body always within the safe working temperature range, extend the service life of the device and improve the charging stability.

The utility model relates to rainwater treatment technical field discloses a kind of hydraulic flushing door sealing devices, including fixed pipe, the outer wall front side of the fixed pipe is fixedly connected with sealing mechanism, the sealing mechanism is used to start sealing door, the inner wall middle part of the fixed pipe is fixedly connected with cleaning mechanism, the cleaning mechanism is used to clean water quality, the outer wall left side of the fixed pipe is fixedly connected with control cabinet;The sealing mechanism includes gate, the gate is fixedly connected in the outer wall front side of fixed pipe, the outer wall front side of the gate is rotatably connected with cover plate.In the utility model, fixed pipe is main body frame, the sealing mechanism of outer wall front side is responsible for the start and sealing of sealing door, the control of control cabinet of outer wall left side, when gate starts sealing door, hydraulic push rod of cover plate bottom operates, realizes intelligent management, endures severe water environment, without external power, rely on water storage gravitational potential energy conversion kinetic energy, energy saving and cost reduction.

The present invention relates to the technical field of state monitoring and analysis of a twenty-high rolling mill, and relates to a state degradation modeling method for a twenty-high rolling mill under the action of vibration-wear coupling. By performing data analysis on vibration data of each key part of a target twenty-high rolling mill corresponding to each target monitoring time point, the vibration characteristics of each key part of the target twenty-high rolling mill corresponding to the target monitoring time period are obtained through analysis. Meanwhile, based on the wear data of each key part of the target twenty-high rolling mill corresponding to each target monitoring time point, the wear characteristics of each key part of the target twenty-high rolling mill corresponding to the target monitoring time period are obtained through analysis. Then, a reference vibration-wear coupling model of each key part of the target twenty-high rolling mill corresponding to the target twenty-high rolling mill is established. Finally, the state degradation evaluation of each key part of the target twenty-high rolling mill corresponding to the target twenty-high rolling mill is performed, which effectively ensures that the degradation and failure of the equipment are discovered in time, thereby taking preventive maintenance measures and effectively avoiding sudden failure of the equipment.

The invention provides a match management method and system and a storage medium. The method comprises the steps of receiving a match creation request, obtaining a match data set of a to-be-created match type, and classifying the match data set to obtain a match scale data set and a resource demand data set; inputting the match scale data set into a match schedule management model, processing match scale parameters by using a first feature extraction layer in the match schedule management model, and generating match schedule structure data; inputting the resource demand data set into a resource management model, processing the resource demand parameters by using a second feature extraction layer in the resource management model to obtain a resource type, and processing the resource type through a feature reconstruction layer to generate a resource configuration scheme; and creating a match management scheme according to the match schedule structure data and the resource configuration scheme, and managing the match according to the match management scheme, thereby realizing refined and intelligent management of the match.

The invention discloses an ammonia gas leakage prevention protective shed for ammonia dual-fuel host detection and a control method, and belongs to the technical field of ammonia dual-fuel host production detection. The protective shed comprises a protective shed body, a transparent protective door system, an exhaust filtering system, a spraying system and an ammonia gas detection system, the protective shed body is composed of metal supports, metal transverse rods, a top plate and wallboards. The transparent protective door system is quickly closed through a worm and gear transmission mechanism; the exhaust filtering system purifies ammonia gas by adopting a four-stage filtering combination; the spraying system forms a water mist curtain through a square pipe and a nozzle; the controller carries out three-level threshold judgment according to signals of the ammonia gas detector, and multi-level linkage protection of detection, closing, exhausting, filtering and spraying is achieved. According to the invention, the problems of rapid sealing, efficient purification and accurate control of ammonia gas leakage during detection of the ammonia dual-fuel host are solved, and the safety and continuity of detection operation are improved.

This utility model discloses a mixing device for producing iodine disinfectant. The key technical points are: belonging to the field of disinfectant production, it includes a main body structure, with a material guiding mechanism fixedly connected to the outer end of the main body structure and a mixing mechanism rotatably connected to the inner end of the main body structure. The material guiding mechanism includes a mounting frame, which is fixedly connected to both ends of the main body structure, and a support frame is fixedly connected to the upper end of each mounting frame. By setting multiple material guiding cylinders, different types of raw materials for disinfectant preparation can be stored. When dispensing materials from the material guiding cylinders, the scale allows workers to more intuitively observe the dispensing volume and situation. Furthermore, in conjunction with a weight sensor, the dosage of each component in the multiple material guiding cylinders and inside can be monitored in real time, ensuring accuracy during the production process. This ensures that each component is added accurately in proportion, making the mixing operation of the device more convenient and guaranteeing the final quality of the iodine disinfectant.

The present application provides a method and system for generating a standard knowledge graph for power grid equipment, which can intelligently integrate and optimize power grid equipment knowledge. If the target power grid data node that needs to be integrated is an existing data node in the reference power grid equipment standard knowledge graph, the knowledge vector is inferred by using the characteristics of the forward data node or the dependent data node through the power grid equipment feature expansion mechanism, thereby optimizing the reference power grid equipment standard knowledge graph. This not only improves the accuracy of the reference power grid equipment standard knowledge graph, but also realizes the standardization and intelligent management of power grid equipment knowledge, so as to construct an optimized power grid equipment standard knowledge graph as a powerful service engine, namely, a middle-end capability semantic network, so as to realize subsequent intelligent recommendation and association of standards, and provide an efficient and intelligent solution for power grid equipment management.

The present application belongs to the technical field of cleaning vehicles, and particularly provides a cleaning vehicle with an intelligent mop cleaning device, which aims to solve the problem of poor mop cleaning management of the cleaning vehicle. The present application comprises a mop, a cleaning vehicle and a mop cleaning device. The mop comprises a mop rod, a mop plate and a mop cloth. The mop cloth is provided with an RFID tag. The cleaning vehicle is provided with a mop cleaning device, a water pumping assembly, a clean water tank and a sewage tank. The mop cleaning device is provided with a cleaning cavity and an RFID reader. The RFID reader identifies and reads the RFID tag. The water pumping assembly can pump clean water in the clean water tank into the cleaning cavity. The mop cleaning device is used for cleaning the mop cloth and monitoring the cleaning condition. The present application can intelligently identify, clean and monitor the cleaning condition of the mop cloth matched with the cleaning vehicle, thereby realizing intelligent management of mop cleaning.