403 results about "Electric energy consumption" patented technology

The invention discloses an electricity consumption real-time monitoring management method and system based on the Internet of Things, and relates to the technical field of power supply energy consumption monitoring. According to the electricity consumption real-time monitoring and management method based on the Internet of Things, multi-source data of a centralized office place is collected through Internet of Things equipment, edge processing is carried out, a digital twin model is constructed to predict energy consumption, an initial optimization strategy is screened, and the strategy is further optimized in a preset scene in combination with a reinforcement learning algorithm; and finally, the strategy is executed through the Internet of Things platform, correction is performed according to feedback, and meanwhile, the residual life of the equipment is predicted for fault monitoring, so that the core problems of insufficient real-time performance, non-intelligent strategy optimization, equipment fault early warning lag in a centralized office space and the like in the traditional energy consumption management are solved; dynamic optimization of power consumption, accurate monitoring of equipment states and advanced intervention of faults are achieved, and the energy utilization efficiency and the system reliability are remarkably improved.

The invention belongs to the technical field of intelligent energy and power system automatic control, and particularly relates to a cross-level collaborative regulation and control system integrating meteorological prediction, power market and equipment state, which comprises a central collaborative controller, a data acquisition unit, a communication network and an execution terminal, the data acquisition unit is used for acquiring meteorological data, power load data, electric energy consumption cost data and equipment operation state data in real time; the execution terminal at least comprises a photovoltaic inverter, an energy storage converter and a charging pile controller; the central cooperative controller is configured to execute three cooperative optimization closed loops, namely, a data fusion and prediction closed loop, a multi-target dynamic optimization closed loop and a multi-time scale control closed loop. According to the system and the method provided by the invention, the problems of real-time performance and accuracy of multi-source heterogeneous data fusion are solved; the balance optimization bottleneck of multiple targets such as economy, stability and environmental protection in the dynamic process is broken through; full-time-scale seamless cooperative control from second-level emergency response to hour-level economic dispatching is realized; and the self-adaptive capability and the overall performance of the system in different application scenes are improved.

The invention relates to the technical field of charging piles, and provides an electric energy metering method and device for a charging pile and a storage medium, and the method comprises the steps: carrying out the real-time data collection of a charging process of the charging pile, obtaining an instantaneous voltage and an instantaneous current, generating an energy density change trend, carrying out the continuous node energy efficiency ratio evaluation, obtaining a feature mapping vector group, and carrying out the calculation of the feature mapping vector group; and performing energy heteromorphic analysis on the feature mapping vector group to obtain an energy deviation index and a load response matching degree, and then calculating an electric energy metering value. The charging process of the charging pile is monitored in real time, and electric energy metering is optimized through fine mathematical analysis and an algorithm model, so that the defects of the traditional technology in coping with a complex charging mode and load fluctuation are overcome, and the defect that the analysis on the electric energy consumption process is lacked in the complex charging mode is overcome; abnormal fluctuation or load response in the charging process cannot be effectively recognized, and the accuracy of electric energy metering is poor.

The present application provides a reverse-type integrated miniature linear servo electric cylinder. An open end of a rotor housing in a power transmission mechanism is fixedly connected to a planetary carrier by means of a coupling, the planetary carrier is directly driven by means of integration of the motor rotor housing and the planetary carrier, and after power transmission via the planetary carrier, an output end is directly driven to achieve linear motion without adding a gear reduction mechanism to a power transmission system of the electric cylinder, thereby significantly reducing the internal space of the electric cylinder occupied by the power transmission mechanism, allowing the electric cylinder to develop to have a more miniaturized and compact structure, saving costs; moreover, the energy utilization rate of the electric cylinder is improved, the electric energy consumption of the electric cylinder is reduced, and relatively good economic benefits can be yielded.

The invention discloses a precise air conditioner energy-saving control optimization method based on reinforcement learning, which comprises the following steps of: acquiring environmental parameters such as temperature, humidity, thermal load, electric energy consumption and running state of an air conditioner system, generating a vector reflecting the current environmental condition, scoring a plurality of control actions through an improved Banditron perceptron model, and calculating the control parameters of the air conditioner system according to the scored control actions. Selecting an optimal control action through a Thompson sampling mechanism, executing the selected control action, collecting environment feedback information after execution, forming a feedback parameter set, dynamically adjusting parameter values of exploration behaviors through data analysis of a continuous control period, and finally jointly inputting a current environment state and the control action into a decision model. And generating a parameter set for setting operation of the air conditioner. Intelligent optimization and energy-saving regulation and control of the air conditioner control process are achieved.

The invention provides a battery process simulation test method, which comprises the following steps of: S1, inputting battery model parameters required by a second-order equivalent circuit and an initial state of a battery for pre-processing to obtain a basic second-order equivalent circuit simulation model, and introducing a series of calibration parameters on the basis of the basic second-order equivalent circuit model to obtain a simulation result of the battery model; errors are dynamically corrected in the simulation calculation process, the problem that an original model is insufficient in precision in the aspects of SOC change rate, voltage response and the like is effectively solved, and the accuracy and reliability of simulation results are remarkably improved. Aiming at complex and diversified process requirements in a battery test scene, a process simulation function supporting multiple process steps and multi-condition logic is constructed, an actual test process can be truly restored, and powerful data support is provided for process debugging, test time prediction and electric energy consumption evaluation.

The invention discloses a factory carbon emission monitoring method and system based on an electricity-carbon calculation model, relates to the technical field of carbon emission monitoring and energy management, and is used for solving the problem that the real-time performance and accuracy of carbon emission monitoring are reduced due to the fact that carbon emission results are mostly presented as coarse-grained indexes. An initial carbon flow distribution matrix is constructed by collecting carbon concentration and electric energy consumption data of distributed energy access points in a plant, a carbon flow model is generated based on a digital twinborn body, a carbon flow weight is dynamically corrected by combining a Bayesian inference algorithm, the total carbon emission amount of the plant is calculated, and a monitoring result is output. According to the method, the spatial precision and the real-time correction capability of carbon emission tracking can be improved, early warning of the carbon emission trend of the key node is realized, and data support and decision basis are provided for a low-carbon operation strategy of a factory.

The utility model belongs to the technical field of seawater treatment, particularly relates to a portable seawater desalination device, and aims to solve the problems that in order to meet the fresh water requirement of long-term navigation, a fresh water generator is installed, the volume of the fresh water generator is large, the weight of the fresh water generator can reach more than one ton, and a distillation method adopted by the fresh water generator is that a vacuum pump is arranged to form a low-pressure environment, so that seawater is easier to evaporate. In order to solve the problems of high energy consumption and high requirements on devices in the prior art, the utility model provides the following scheme: the device comprises a frame, and a seawater tank for containing seawater is fixed at the side end of the frame; a filtering part is arranged in the frame and comprises a sand filter, a carbon filter, a softener and a precision filter, the sand filter is communicated with the carbon filter, the carbon filter is communicated with the softener, and the softener is communicated with the precision filter; solar energy is adopted as an energy supply device, no additional electric energy consumption is generated, and the effect of saving energy is achieved; the portable device is convenient and easy to carry, and the space ratio and the load of the ship can be reduced.

According to the reverse type integrated miniature linear servo electric cylinder, the open end of a rotor shell in a power transmission mechanism is fixedly connected with a planet retainer through a coupler, and the planet retainer is directly driven by adopting integrated treatment of the motor rotor shell and the planet retainer; after power transmission of the planet retainer, the output end is directly driven to realize linear motion without adding a speed reducing mechanism in a power transmission system of the electric cylinder, so that the internal space, occupied by the power transmission mechanism, of the electric cylinder is greatly reduced, the electric cylinder can be developed to a smaller and more compact structure, and the cost can also be saved; and moreover, the energy utilization rate of the electric cylinder is improved, the electric energy consumption of the electric cylinder is saved, and better economic benefits can be generated.

The invention relates to the technical field of unmanned aerial vehicle energy management, and discloses an unmanned aerial vehicle autonomous tracking charging scheduling method and system, and the method comprises the steps: carrying out the environment feature perception of an operation region, and building a multi-mode sensor monitoring network; collecting operation parameters of the unmanned aerial vehicle and generating parameter dynamic characteristic data; constructing a parameter-demand response relation model, and analyzing electric energy consumption characteristics and charging demands; identifying a charging influence area based on the endurance guarantee dynamic characteristics, and generating demand effect coupling data; and dynamically planning a charging path by using a machine learning model, and optimizing operation parameters. The system comprises an environment sensing module, a state acquisition module, a scheduling prediction module, an influence evaluation module and a control feedback module. According to the invention, the dynamic and intelligent charging scheduling of the unmanned aerial vehicle is realized, the cruising ability and the operation efficiency are improved, and the method is suitable for the autonomous tracking task of the unmanned aerial vehicle in a complex environment.

The invention belongs to the technical field of building energy management, and particularly relates to an energy management system and method based on big data analysis, an air supply control model is constructed by collecting a passenger flow gathering boundary and azimuth temperature in an air conditioner air outlet coverage area according to time periods, and an air supply range is delimited by a passenger flow boundary; gradient air supply simulation is performed in combination with the limit value and the appropriate temperature difference, and the reference electric energy consumption is estimated according to the simulation result, so that refined and dynamic reference electric energy consumption determination is realized, and each time period has an energy consumption reference matched with the actual demand; meanwhile, when abnormity identification is carried out based on the reference electric energy consumption, by comparing the deviation between the reference electric energy consumption and the actual electric energy consumption in the same temperature control environment and different temperature control environments, the limitation of single threshold value judgment is broken through, multi-period comparison under the same working condition is supported, the operation performance of the air conditioner in various temperature control environments is comprehensively considered, and the method is suitable for popularization and application. Therefore, stable and accurate anomaly recognition in multiple scenes is realized, and the false alarm rate is remarkably reduced.

The invention discloses a low-light power generation hardware management system of a smoke alarm, and relates to the technical field of low-light power generation of smoke alarms, and the system comprises a micro-control module which controls a first conversion module and a second conversion module to carry out power adjustment, electric energy superposition and electric energy bootstrap on electric energy generated by a photovoltaic module. The stage detection module carries out voltage detection of four different stages on the photovoltaic module so as to control the first conversion module and the second conversion module to independently supply power according to different voltage stages, and the transmission module controls the first conversion module and the second conversion module to carry out electric energy superposition. And controlling the first conversion module, the second conversion module and the battery control module to carry out electric energy superposition, and controlling the battery control module to directly supply power when no light exists or a smoke alarm occurs. According to the low-light power generation hardware management system of the smoke alarm, the utilization rate of photovoltaic electric energy can be improved, the electric energy consumption of the battery control module is reduced, the cruising ability is improved, the power utilization requirement is met, and the power supply efficiency is improved.

The invention relates to the technical field of energy management, in particular to a coking enterprise electric energy metering management method, which comprises the following steps of: forming a matrix metering network through an electric meter, a current sensor and a process control system deployed by a sensing layer; preprocessing the collected electric energy data through an edge computing gateway of the network layer and transmitting the electric energy data to the platform layer; the platform layer stores the electric energy data, performs correlation analysis in combination with the production data, and is used for completing dynamic calibration and peak-valley power consumption optimization; three-level electric energy metering management is completed in an application layer, and electric energy consumption, energy efficiency benchmarking and abnormal alarm information are displayed through a visual platform. The method has the advantages that step-by-step energy consumption monitoring and management from a whole plant to a workshop section to equipment are realized, links and equipment with high energy consumption can be accurately positioned, and a basis is provided for targeted energy-saving measures; and each level is clear in metering, and energy consumption indexes are decomposed layer by layer and are implemented to specific working sections and equipment, so that each level is clear to own energy consumption conditions.

The invention discloses an automatic testing method and system for energy consumption and driving of a pure electric vehicle, and belongs to the technical field of vehicle testing, and the method comprises the steps: obtaining a theoretical working condition curve of the energy consumption and driving testing of the pure electric vehicle; according to the theoretical working condition curve, carrying out energy consumption and driving initial test on the vehicle; obtaining the electric energy consumption and the driving range of the vehicle in the CSSM stage, the electric energy consumption and the driving range of the vehicle in the CSSE stage and the total electric energy consumption of the initial test vehicle in the initial test process; determining a target driving mileage of the vehicle in the CSSM stage according to the electric energy consumption, the driving mileage, the electric energy consumption of the vehicle in the CSSE stage, the driving mileage and the total electric energy consumption of the vehicle tested for the first time; updating the theoretical working condition curve; and the updated working condition curve is used for carrying out energy consumption and continuous driving re-testing on the vehicle. Therefore, the vehicle energy consumption and driving test are ensured to meet related regulations, and the efficiency and accuracy of working condition curve determination are improved.

The invention discloses a water pump energy efficiency optimization method and system, relates to the field of water pump energy efficiency optimization, is used for optimizing electric energy consumption of a water pump and further improving the energy-saving effect, and comprises the following steps: collecting operation parameters of the water pump; based on the operation parameters, an actual performance model of the water pump is periodically reconstructed; the actual performance model reflects a lift-flow relation and a power-flow relation of the water pump at different rotating speeds; according to the current target working condition and the actual performance model, optimal operation parameters of the water pump are calculated; and adjusting the operation of the water pump according to the optimal operation parameters.

The invention relates to the technical field of refrigeration, in particular to a refrigerator self-adaptive energy-saving control system based on multi-mode perception, which comprises a data acquisition module, a refrigeration regulation module, a wind power auxiliary module, an air pressure auxiliary module and a data processing module, the data acquisition module is used for capturing temperature distribution, humidity conditions and air pressure conditions in the refrigerator and sending the data information to the data processing module. By arranging the thermal camera and the wind power auxiliary module, the thermal camera captures the position of an ice layer, the draught fan is aligned with the ice layer, sublimation of the surface of the ice layer is accelerated through air flowing, and when air passes through the surface of the ice layer, heat can be transferred to the ice layer with the lower temperature due to work of the evaporator; and the temperature of flowing air is reduced while ice layer disappearance is accelerated, so that the electric energy consumption of the refrigeration adjusting module is reduced, and the refrigeration quality is improved.

Methods and systems for controlling a temperature of an electric energy storage device of via a cooling device are disclosed. In one example, a temperature of an electric energy storage device may be permitted to increase when a vehicle is within a threshold distance of an expected parking location of the vehicle so that less electrical energy of the electric energy storage device may be consumed.

The invention provides an energy adjusting method and device for a satellite, electronic equipment and a medium, and relates to the field of satellite energy monitoring. The energy adjusting method for the satellites comprises the steps that under the condition that the electric energy of a target power source of a target satellite at a preset moment is lower than preset electric energy, the first target operation stage of the target satellite and the initial charging amount of a solar wing of the target satellite are obtained; determining an initial function of the first target operation stage and first initial electric energy consumption corresponding to the initial function; generating an electric energy scheduling rule of the target satellite and / or a working mode adjustment rule corresponding to the initial function based on the initial function, the first initial electric energy consumption and the initial charging amount; and performing charging and discharging mode adjustment on the target power supply based on the electric energy scheduling rule, and performing working mode adjustment on the first target operation equipment corresponding to the initial function based on the working mode adjustment rule. The stability of task execution when the target satellite is in the backlight area can be improved.

The disclosure relates to an electric blower apparatus having a blower spiral and a fan wheel rotating in the blower spiral. For driving the fan wheel, an electric motor is disposed on an axial end face of the blower spiral, the drive shaft of the electric motor protruding through a shaft opening in the axial end face and into the blower spiral and being connected to the fan wheel. Configured in the axial end face of the blower spiral is a cooling air opening by way of which a cooling air flow that flows about the electric motor is routed. To guarantee sufficient cooling of the driving electric motor at a minimal consumption of electric energy, it is provided that the cooling air opening is disposed in a pressure region of the blower spiral such that the cooling air flow to the electric motor is a pressurized air flow.

The invention discloses a winching tail rope energy storage electric type electric automatic winding device, and relates to the technical field of automatic winding devices. The automatic winding device for the winching tail rope comprises a rotating rod, a bearing and a wire coil which are arranged on an electric tailstock, and the rotating rod is fixedly inserted into an inner ring of the bearing so that the wire coil can rotate along with the rotating rod; the automatic winding device for the winching tail rope further comprises a detection mechanism. When the electric winch releases the steel wire rope, the electric tailstock rotates passively, at the moment, the motor reducer module in the system serves as a generator, kinetic energy of the electric tailstock is converted into electric energy, and the converted electric energy can be stored in a matched energy storage element. When the winching mill pulls the steel wire rope, the stored electric energy drives the electric tailstock to rotate and wind the steel wire rope, so that the energy utilization efficiency is improved. According to the winching tail rope energy storage electric type electric automatic winding device, electric energy consumption or storage is achieved according to two different working conditions that a winching drags or releases a steel wire rope, the winding efficiency and effect are guaranteed, and the energy recovery effect can be improved.

The present application discloses a variable frequency power supply device with dual-circuit electric energy balance, which includes a rectifier unit, two inverter units, two DC circuits, two voltage collection units, an energy transmission unit, and an energy balance control unit. The input end of the rectifier unit is connected to the AC power grid; the output ends of the two inverter units are used to be connected to two loads respectively; the two ends of the two DC circuits are respectively connected to the output end of the rectifier circuit and the input end of the two inverter units; the two voltage collection units are respectively connected to the two DC circuits; the two ends of the energy transmission unit are respectively connected to the two DC circuits; and the energy balance control unit is connected to the two voltage collection units, the energy transmission unit, and the two inverter units. The variable frequency power supply device with dual-circuit electric energy balance makes the voltages of the two DC circuits tend to a balanced voltage, thereby achieving a complementary state of electric energy for the two loads, reducing power consumption, and preventing power accumulation and impact on the AC power grid.

A control system (30) for a hydrogen plant (100) is provided. The hydrogen plant includes: a first set of units (11,12…1n) comprising at least one hydrogen electrolyzer for producing hydrogen as a main product and heat as a byproduct; and a second set of units (21,22…2n) comprising at least one desalination unit partially operated with the heat from the at least one hydrogen electrolyzer for producing distilled water from raw water, and the at least one water desalination unit being configured to provide at least part of the distilled water to the at least one hydrogen electrolyzer. The control system is configured to control operation of the hydrogen plant including controlling electrical energy consumption of the at least one electrolyzer and the at least one desalination unit by adjusting at least one of: 1) electrical power supplied to the at least one hydrogen electrolyzer to produce the hydrogen and the heat; 2) flowrate of the at least part of the distilled water to the at least one hydrogen electrolyzer from the at least one desalination unit; and 3) heat transferred from the at least one hydrogen electrolyzer to the at least one desalination unit.

This utility model relates to the field of battery production equipment technology, specifically to a hybrid conveyor-type back-contact battery sintering and photoinjection integrated furnace, including a frame with a sintering section and a photoinjection section. A chain conveyor belt is installed in the sintering section, and a conveyor roller conveyor is installed in the photoinjection section. A transfer device is provided between the chain conveyor belt and the conveyor roller conveyor. Chain conveying is used only in the sintering section, while roller conveyor conveying is used in the photoinjection section. This combination of methods effectively reduces the length of the chain conveyor, thus avoiding the instability and scratching of the battery cells associated with chain conveying. Furthermore, the end of the chain conveyor only needs to be initially cooled to above 200°C before entering the photoinjection area cavity, avoiding the process of cooling followed by heating. This reduces the steps of cooling and heating the battery cells and furnace belt, thus reducing energy consumption.

The invention relates to the technical field of electric precipitation, in particular to overload monitoring equipment and a monitoring method for electric precipitation equipment, and the method comprises the following steps: acquiring target production data; determining a target dust discharge amount according to the target production data; and determining the target current magnitude according to the target dust discharge amount. The method has the advantages that the neural network is used for conducting deep learning on online collected production data, a corresponding relation model between the dust amount and the power plant production data is established, the smoke dust emission amount is predicted based on the model, the average secondary current amount of the electric field is adjusted in real time on the basis, and the purposes of reducing consumption and reducing power consumption are achieved. According to the invention, the control aims of improving the reliability of the IGBT and prolonging the service life of the IGBT are fulfilled, the spark discharge phenomenon can be reduced or avoided as much as possible, equipment such as the IGBT and a trigger circuit board can be better protected, and unnecessary electric energy consumption can be effectively reduced at the same time.

The application relates to the technical field of agricultural irrigation water treatment, and discloses a flow regulating valve which comprises a valve seat, a valve shell, a valve core and an elastic diaphragm, the valve seat is provided with a left-right through flow hole, a cylindrical valve core is sealingly connected to the left side of the valve seat corresponding to the position of the flow hole, a plurality of openings are arranged on the valve core wall in a circumferential direction, an elastic diaphragm is sealingly wrapped on the outer side of the valve core corresponding to the positions of the openings, a water passing inner cavity which is left-right through and sealingly communicated with the flow hole is formed between the elastic diaphragm and the valve core, the valve shell is sleeved on the outer side of the valve core and sealingly connected to the valve seat at the left end, and an adjusting outer cavity which is closed at the left end and opened at the right end is formed between the valve shell, the valve seat, the valve core and the elastic diaphragm. The application has a reasonable structure, the water passing section area of the water passing inner cavity can be adjusted according to the water head, so that the flow rate is relatively stable, the whole device is controlled by hydraulic self-driving, no manual cost or electric energy consumption is needed during operation, and the operation cost is low.

This application discloses a distributed kitchen waste treatment device, which includes a treatment component, a low-temperature heat pump, and a crushing and dehydration device. The treatment component includes a treatment box, which includes a housing. The housing has a treatment chamber, a first feed inlet, and an exhaust gas outlet. The treatment component also has an air inlet. This invention can reuse the humid and hot exhaust gas generated during the fermentation of kitchen waste. The low-temperature heat pump uses the heat from the humid and hot exhaust gas and the heat energy generated by its own operation to convert the air and humid and hot exhaust gas into dry and hot air for fermenting kitchen waste. Compared with the existing electric indirect heating method, this effectively reduces power consumption. Furthermore, the condensate generated by the humid and hot exhaust gas after being treated by the low-temperature heat pump is used to remove oil and salt from the kitchen waste, eliminating the need for additional hot water and achieving water recycling. This increases water utilization, saves costs, reduces wastewater volume, and makes the overall operation more energy-efficient and environmentally friendly.

The invention relates to the technical field of electric energy dispatching management, in particular to an operation management method and system for a power generation and energy storage system, and the method comprises the steps: receiving ambient light irradiation through a distributed photovoltaic module, executing the photoelectric conversion work, generating internal electric energy of the system, and storing the internal electric energy of the system through an energy storage module, and recording the change condition of the stored electric energy of the energy storage assembly to generate a power generation storage information flow, recording the electric energy consumption condition of the electric energy dispatching module dispatched from the urban power grid to generate an electric energy consumption information flow, and dispatching the electric energy consumption information flow on the basis of an electric energy dispatching management model pre-deployed in the electric energy dispatching module. The power generation storage information stream and the power consumption information stream are analyzed to adjust a power scheduling mode.

The invention is suitable for the technical field of electric energy substitution, and provides a carbon emission reduction potential prediction method and device based on a rural electric energy substitution technology, and the method comprises the steps: obtaining the energy consumption stock data and electric energy consumption variable data of a rural area; based on the energy consumption stock data, constructing an energy consumption prediction model of the country, and predicting the total energy consumption of the country based on the energy consumption prediction model; based on the electric energy consumption variable data, constructing an electric energy consumption prediction model of the country, and predicting the electric energy consumption of the country based on the electric energy consumption prediction model; based on the total energy consumption of the country and the electric energy consumption of the country, determining the electric energy replacement electric quantity of the current year; the current-year carbon emission reduction potential of the country is determined based on current-year electric energy replacement electric quantity. The method can solve the problems that a traditional prediction method is difficult to simulate the condition of multivariable interaction, the model is single, and dynamic feedback is lacked, and is suitable for the dynamic environment of upgrading of the rural technology, the change of related policies and the like nowadays.

The utility model provides an electric quantity acquisition and light controller, which comprises a controller host. The utility model provides an electric quantity acquisition and light controller, which is a distributed telemetering, remote control and remote communication control system formed by utilizing a computer, wired or wireless communication data transmission, a spread spectrum power line carrier communication technology, a computer intelligent information processing technology, an energy-saving electric appliance control technology and the like. The functions of light brightness adjustment, light soft start, timing control, scene setting and the like are realized; the intelligent illumination control system is suitable for illumination control requirements of various intelligent communities, hospitals, schools, hotels, stadiums, airports, tunnels, stations and other large public construction projects, the intelligent degree of the illumination system is improved, the labor intensity of manpower can be saved, the lamps can be scientifically and intelligently controlled, the service life of the lamps is prolonged, and the intelligent illumination control system is suitable for large public construction projects such as intelligent communities, hospitals, schools, hotels, stadiums, airports, tunnels, stations and the like. And unnecessary electric energy consumption is reduced for factories, and the problem of energy shortage is relieved.

The application discloses a water-cooled inter-car air conditioner refrigeration performance dynamic evaluation method based on operation data analysis, and method steps are as follows: S1: dividing a load state category of a refrigeration equipment end operation, and dividing into a corresponding category according to a RH value of the inter-car air conditioner; S2: determining a PR parameter range of the air conditioner; S3: if the PR parameter of the air conditioner is in interval I i , it is judged that the operation is normal, otherwise, S4 is executed; S4: performing clustering analysis based on electric energy consumption; S5: further checking according to a CV parameter of the inter-car air conditioner; S6: calculating and evaluating a lag influence condition; S7: performing real-time evaluation on operation performance of each inter-car air conditioner equipment according to a time interval period; and S8: updating the PR parameter in S2. The application can timely find out the inter-car air conditioner equipment with operation performance out of a group, low performance, a performance deterioration trend or severe performance jitter, and provides quantitative data support for improving end refrigeration system performance.