97results about How to "Good for the economy" patented technology

An operation management system is provided, which includes a database (105) that accumulates operation information, including a fuel consumption amount, that is gathered from a running vehicle (A1 to B2) through a network (20); and a management device (103, 104) that sends the gathered operation information and the operation information accumulated in the database (105) to a client computer (A10, B10) through the network (20). The management device (103, 104) receives an instruction for the vehicle (A1 to B2) from the client computer (A10 and B10), and sends the received instruction to the vehicle (A1 to B2).

The invention discloses an optimization operation method based on energy consumption analysis for power plant and a system thereof. The method includes the following steps: a data acquisition subsystem acquires real-time operational data and carries out pre-processing on the specific real-time data; a data processing subsystem analyzes and calculates the real-time data, so as to obtain the real-time energy consumption index under the current working condition, the real-time energy consumption index under the current working condition is compared with the energy consumption index under the corresponding working condition stored in an optimal working condition database, comparison result is output to a data display subsystem, and meanwhile if the real-time energy consumption index obtained by calculation is superior to the optimal energy consumption index under the corresponding working condition, the current real-time working condition is stored to be corresponding optimal working condition; and the data display subsystem displays the real-time energy consumption index under the current working condition and the comparison result of optimal energy consumption indexes under the corresponding working conditions. The method of the invention can more accurately analyze various energy consumption differences of power plant and the reason of exceeding of energy consumption difference, and a reliable optimization scheme is provided.

The present invention discloses a decentralized cooperative economic dispatching method comprising a multi-microgrid active distribution system. The method comprises the following steps: (1) establishing a distributed power supply optimization operation model, solving an optimal scheduling model, calculating a microgrid node electricity price, considering a micro gas turbine in a microgrid, a fuel cell, output force characteristics and energy consumption characteristics of an energy storage device and wind power and photovoltaic random output force characteristics, and employing a prime-dual interior point method to calculate each node electricity price of the microgrid; (2) designing a multi-microgrid decentralized cooperative optimal scheduling frame to determine the size of each distributed power supply output force; and (3) researching the active distribution system optimal scheduling model and the solution method thereof considering the influence of multi-microgrid access. The decentralized cooperative economic dispatching method comprising the multi-microgrid active distribution system improve the electric energy quality and peak load shaving capability of the distribution system through depending on the support of the microgrid layer and network reconstruction while economic operation so as to provide valuable reference for allowing the microgrid system to access the distribution system optimal scheduling.

The invention relates to a controllably-crushing recovery method and system of scrap batteries, comprising the following steps that: the scrap batteries are separated and classified to obtain a collection of lithium-ion batteries; the casings of the lithium-ion batteries are shelled by a scrap-battery rejuvenator to obtain a collection of lithium-ion battery content; the collected lithium-ion battery content is physically separated to obtain a collection of aluminium positive plates and positive active coatings on the positive plates; the aluminium positive plates and the positive active coatings on the positive plates are sent into a controllably-crushing device of scrap batteries and processed controllably-crushing to obtain a collection of mixture of aluminium granule and positive powder; the mixture of aluminium granule and positive powder is subtly sieved and separated to respectively obtain the aluminium granule and the positive powder. The invention has the advantages of greatly reducing environmental pollution of recovery process, less material-separating energy consumption, being close to 90% of intrinsic purity for the lithium cobalt oxide powder from recovery and facilitating economic running.

The invention relates to a water disposal system, comprising a swirl rough filter which is communicated with the feeding water to be disposed, a water disposal device which is connected with the swirl rough filter, and a disposed water collecting box which is used for collecting the disposed water which is disposed by the water disposal device; wherein, the water disposal device comprises a radial swirl filter; the middle part of the shell of the mainbody of the radial swirl filter is communicated with a tangent water outlet, the upper part thereof is provided with a ring-shaped overflow device and a lower part thereof is provided with a conical medium supporting screen and filled by filter medium; the bottom of the overflow device is provided with a supporting frame and vanes which are obliquely arranged on the supporting frame; the supporting frame, the vanes and the radial swirl filter shell form the ring-shaped sleeve; water which is disposed by the radial swirl filter flows into the disposed water collecting box. The water disposal system leas more water to be circulated and reused, has simple structure, few part numbers, low cost, is easy for large-scale production, economical running, installation and operation. The invention also relates to a water disposal device used for the water disposal system.

The invention provides a reactive power control method of a grid gateway based on an automatic volume control (AVC) system. The reactive power control method comprises the following steps: obtaining the relation curve between the general active power delivered from an upstream gateway and the corresponding average coordinating power factor limit value according to the load flow calculation data and the restriction condition of a grid; monitoring the reactive power delivered from the pressure side in every transformer in an upper main network in real time, calculating the limit value of the upstream gateway coordinated power factor of every transformer substation according to the relation curve; calculating the limit value of the coordinated power factor of a downstream gateway according to the limit value of the upstream gateway coordinated power factor; updating a control parameter of the AVC system according to the limit value of the power factor of the grid downstream gateway, and regulating the reactive power of the grid gateway according to the control parameter. According to the technology provided in the invention, the safety running of the upper main network is fully considered, the reactive regulating ability and the active load level of a lower branch network are also considered; therefore the mismatch problem possibly caused by the reactive / voltage regulation of the upper and lower grids is solved, and the voltage quality of the grid is further improved.

The invention relates to a power distribution network line loss calculation method based on the improved equivalent electric resistance method. The power distribution network line loss calculation method comprises the following steps: S1, determining parameters of a power distribution network; S2, calculating the degree of unbalancedness of the load current of the power distribution network, and calculating the head-end structure coefficient of a distribution line according to the degree of unbalancedness; S3, calculating the total electric energy loss of the power distribution network according to the head-end structure coefficient and the improved equivalent electric resistance method; and S4, calculating the line loss rate of the power distribution network according to the total electric energy loss, and comparing the line loss rate with a practical line loss rate to calculate error. As the impact of unbalanced load on equivalent resistance and power distribution network line loss is taken into consideration, the line loss rate of the power distribution network can be calculated more accurately, and be more approximate to the practical line loss rate, and a guiding meaning is provided for economical running of the power distribution network.

The invention discloses a two-level flexible direct current power transmission converter fault protection and fault diagnosis method. The method provided by the invention is characterized in that a step 1 converter fault protection comprises: a step 101, converter outlet current signal acquisition and processing, a step 102, interruption of working of IGBT devices of a faulted converter, a step 103, the tripping-out of the alternating current system circuit breaker of the convertor station of the faulted converter, a step 104, working of normally functioning converters in a passive compensation state; a step 2 converter fault diagnosis comprises: a step 201, fault signal acquisition, a step 202, preprocessing of fault signals, a step 203, fault characteristic parameter calculation, a step 204, converter fault diagnosis of a converter fault diagnosis module by adopting a layering method. The two-level flexible direct current power transmission converter fault protection and fault diagnosis method is advantageous in that the steps are simple, the realization is convenient, the cost is low, the fault diagnosis identification rate is high, the practicability is strong, the use effect is good, and the popularization and the application are facilitated.

The invention relates to a distribution automation joint debugging platform for FTU terminal equipment. The distribution automation joint debugging platform for the FTU terminal equipment is characterized in that voltage and current output of an experimental device is spliced in the input end of a terminal strip; an FTU terminal is connected with the opposite end of the terminal strip through a special connecting wire; a remote control test board on a tester is connected with the input end of the terminal strip which is located in the same side of the voltage and current output; the FTU terminal equipment is provided with a network cable and a special connecting wire, the network cable led from the FTU terminal is in communication connection with a special debugging channel in a distribution automation host station system, and the test port in the FTU terminal is spliced in the end opposite to the end of the remote control test board connected with the terminal strip through a special connecting wire. The distribution automation joint debugging platform for the FTU terminal equipment plays roles of automatically locating a fault, automatically isolating a fault section, automatically restoring power supply for non-fault sections, automatically restoring a power supply mode before supplying power and the like, achieves topology analysis, load transfer, load forecasting, network reconstruction and other advanced applications, has real-time performance, authenticity and reliability and needs to precisely test and jointly debug each FTU terminal.

The invention provides a partial discharge multi-source fusion detection system and method for a high-voltage switch cabinet, and belongs to the technical field of electric power overhaul. The systemcomprises a sensor assembly, a signal collection and processing module connected with the sensor assembly, and a computer terminal connected with the signal collection and processing module; the sensor assembly comprises a UHF sensor, an AE sensor and a TEV sensor; the signal collection and processing module comprises an amplifier, a filter connected with the amplifier, and a USB data acquisitioncard connected with the filter. According to the system and method of the invention, ultrahigh frequency, ultrasonic wave and TEV partial discharge detection technologies are fused, the system and method have the advantages of high sensitivity, strong anti-interference capability and the like, can realize accurate positioning of discharge faults, obtain quantitative data, predict and accurately position internal discharge in advance, reduce the workload of an inspection department, and improve the working efficiency.

The invention relates to a realization method for online control strategies of a security control device with self-adaption running modes. The method comprises the following steps of: automatically recognizing running modes through the security control device, and matching and checking with definite values of online strategies including a plurality of running modes obtained through calculation at a scheduling end; when the running mode changes and the scheduling end can not calculate in time and issue new online strategy, automatically matching the definite value of the online strategy running in the device according to the changed running mode by the device, and once new fault occurs, enabling the security control device to operate according to the definite value of the online strategy matched with the current running mode. By utilizing the method, the adaptability of the definite value of the online strategies of the security device to the running modes is improved.

The invention discloses a method for optimizing the energy storage capacity of a wind-power-containing electric power system considering peak regulation requirements, which comprises the following steps: considering an optimization target of the energy storage capacity of the wind-power-containing electric power system of a scheduling plan, and establishing an energy storage capacity optimizationcost income model which comprises a target function and a constraint condition for realizing maximum net profit of the system at the lowest energy storage investment cost; and solving the energy storage capacity optimization cost income model by adopting an improved adaptive genetic algorithm to obtain the optimal capacity of the pumped storage power station, and optimizing the energy storage capacity of the wind-power-containing power system according to the optimal capacity of the pumped storage power station. According to the method, the peak regulation demand constraint is introduced intothe pumped storage water pumping / energy storage process, and the situation that the system peak regulation demand is increased due to wind power grid-connected power fluctuation in a system schedulingplan is avoided.

The invention relates to a management line loss abnormity identification method based on data mining. The technical points comprise: step 1, carrying out sub-sequence segmentation on preprocessed management line loss time sequence data by adopting a sliding window method; step 2, constructing a time sequence prediction model based on a neural network, obtaining a predicted value of a management line loss sub-sequence, and judging the sub-sequence of which the difference range between the predicted value and an actual measurement value is greater than a preset threshold value as an abnormal sub-sequence; step 3, extracting characteristic variables of the abnormal sub-sequences, establishing a management line loss characteristic sample set, and clustering by adopting three different algorithms; and step 4, performing cluster matching on the three clustering results, obtaining a final clustering result by adopting a majority voting clustering integration method, and comparing the difference between the number of objects in the cluster and a preset threshold value to obtain a specific classification condition of the management line loss abnormal sub-sequence. The abnormal condition ofline loss can be quickly and accurately identified and managed, and better stability and practicability are achieved.

The invention discloses an on-line control strategy switching method for a security control device by using strategy effective conditions. Upper and lower power gear limits which reflect a trend mode in an on-line strategy fixed value transmitted by a scheduling end are used as the effective conditions, the on-line strategy fixed value which is received by the device or is used is subjected to effective condition inspection by the security control device according to the running mode of the device, and the device is to work in an on-line strategy fixed value mode or an off-line strategy fixed value mode is determined according to whether the on-line strategy fixed value passes the inspection or not. According to the method, the on-line strategy fixed value is inspected by using the strategy effective conditions, so that the strategy fixed value working mode is reasonably and effectively switched, and the action reliability of the security control device is ensured.

The invention relates to a method used for optimizing the electric network hydropower spinning spare capacity in the real-time dispatching. The method utilizes an EMS system to acquire the real-time electric network load data, and the ultra short-term load prediction is performed after preprocessing; the curve fitting is performed to a sequence formed by the real-time load and the predicted data based on the least square to obtain the absolute value of the maximum deviation between the sequence point and the curve, and the absolute value is determined as the hydropower spinning spare capacity of the next segment; and the no-load quotative discharge under the current water head of a hydropower generating unit is divided by the full output quotative discharge and then multiplied by the full output (i.e. the spinning spare capacity of the hydropower generating unit) to obtain a start-up ordering coefficient, and a machine set combination with the minimum energy consumption and the reserve capacity meeting the requirement is obtained by a heuristic searching algorithm. The method has the advantages that the method changes the traditional method of determining the hydropower spinning spare capacity according to a load coefficient and reduces the no-load reserve capacity of the hydropower; and the method utilizes the no-load energy dissipation coefficient to guide the start-up of the hydropower generating unit, further optimizes the economical operation of the hydropower generating unit and achieves the purposes of energy conservation and emission reduction.

The invention discloses a power optimization scheduling-based microgrid energy storage system state consistency control method, which belongs to the technical field of control of the microgrid energystorage system. The method adopts time-of-use price, new energy prediction output and energy storage unit battery pack state of energy SOE to determine an energy storage unit operation strategy on thebasis of considering energy storage charge and discharge efficiency and ensuring system active power balance, and considers an energy storage unit battery pack state of energy SOE imbalance problem and time-varying energy storage unit power charge and discharge bearing capability SOP, and a microgrid energy storage system power balance model is built; and besides, through a consistency protocol,energy storage units SOH and SOE are ensured to be consistent, the application performance of the energy storage unit in the energy storage system is improved, the overall charge and discharge times of the energy storage system is effectively reduced, and the service life is improved.

The invention provides a household appliance system which is combined by a heat pump, a heater and a water saver and can respond to a climatic change, which is characterized in that a water saving system is matched with the heater used for heating with two steps so as to recover the condensed heat of the heat pump; the household equipment which forms the whole system is relatively independent on functions and is relatively concentrative on controls. The combined household appliance system mainly has obvious energy-saving effect, thus reducing the requirement of the electric energy and the exhaust of carbon, and restraining the electricity usage peak in summer. The combined household appliance system also has water-saving effect, properly solves a plurality of technical difficult problems that the condensed heat recovery technique is applied to the household appliances, puts forwards and solves the water temperature control problem of the condensed heat recovery technique heater. The technical proposal is suitable for the generalization and application to the household air conditioners and refrigerators of the condensed heat recovery technique on large scale. In aspect of responding to the climatic change, the whole system has dual effects of reducing the greenhouse effect which is caused by the exhaust of carbon and directly reducing the temperature of the atmosphere close to the ground in summer. During batch application, the combined household appliance system practically provides a method used for artificially controlling the temperature of the atmosphere close to the ground.

The air inlet of lower portion of cooling tower is enclosed and baffled by using metal screen, the outer side of said metal screen is equipped with a circle of water pipeline, on the water pipeline several branch water pipes are set, every branch water pipe is equipped with a water nozzle, the main water pipeline is connected to the water pool of tower bottom, in the pipeline connected with water pipe and water pool a water pump and a temperature control device are mounted, the temperature control device includes temperature controller, temperature sensor and AC contactor connected on the water pump and motor loop, the sensor can be used for detecting water temperature in the water pool and setting upper limit and lower limit of temperature controller action.

The invention discloses a multi-energy park day-ahead economic dispatching method by considering demand response and containing electric vehicles. The method comprises the following steps: firstly, modeling each device in the park according to the determined specific composition of the multi-energy park; then introducing the electric vehicle while considering the demand response; taking the minimum total operating cost of the park as an objective function; considering related constraint conditions; combining a Monte Carlo scene theory; constructing a multi-energy park day-ahead economic dispatch random model by considering the uncertainty of wind power output and photovoltaic output, verifying the contribution advantages of demand response and electric vehicles to multi-energy park economic operation and new energy consumption, and obtaining a multi-energy park day-ahead economic dispatch strategy containing the electric vehicles and by considering the demand response. A demand response mechanism and an electric vehicle are introduced to further improve the new energy consumption capability of the park and enhance the operation economy of the multi-energy park.

The invention discloses a piecewise linearization optimal power flow calculation method for an electricity-gas coupling system. The method comprises the steps: 1, acquiring basic parameters of a circuit element and a natural gas network element in the electricity-gas coupling system; 2, according to a fuel cost linear piecewise number Ne, converting a nonlinear original function of the thermal power generating unit fuel cost related to unit output into a linear function through employing a piecewise linearization method; 3, according to the node pressure linear piecewise number Lseg of the natural gas network, converting a nonlinear original function of natural gas network pipeline flow related to node pressure into a convex linear combination form through employing the piecewise linearization method; 4, establishing an optimal power flow model of the electricity-gas coupling system based on mixed integer linear programming; 5, solving the optimal power flow model by adopting linear programming. According to the method, the non-convex nonlinear problem can be converted into the convex linear problem, linear programming is adopted for solving, and the calculation speed is increased;and the safety of the power grid and the natural gas network is ensured, and the overall optimal economic operation can be realized.

A steel ball coal mill design and type selecting method based on a genetic optimized algorithm comprises the following steps: 1, parameters of a specific steel ball coal mill are designed; 2, an optimal model of steel ball coal mills is selected from the designed model of steel ball coal mills and existing models; 3, optimal operation condition parameters of the steel ball coal mill are determined; and 4, operation of a pulverizing system of the steel ball coal mill is guided. In the invention, according to theoretical foundation, and on the basis of a minimum pulverizing unit consumption principle, parameter automatic optimization searching is carried out through utilization of a genetic algorithm; a optimal economic operation guidance is given; a genetic algorithm control flow is designed; optimal running state parameters beta, gama and tm are calculated; outputting of the pulverizing system is raised; the system safety and economic operation are ensured; the production quality and the production efficiency of the ball mill are raised; energy is saved; and competitiveness of products on the market can be raised, thereby bringing more benefits for enterprises.

The invention discloses a double-layer optimization method for an alternating current and direct current hybrid microgrid based on demand side response. The method comprises the following steps: basedon the stimulated demand side response, through the adjustment of shiftable load, enabling a load curve to get close to a renewable energy source contributed change curve, using the maximum of renewable energy source consumption rate as a target to establish an upper target function of the alternating current and direct current hybrid microgrid; taking the demand side response based on price intoaccount and also taking the demand side response based on stimulation into account, establishing a lower target function taking minimum operating cost of the alternating current and direct current hybrid microgrid as a target; complying with operation constraints, and establishing a double-layer optimized mathematical model of the alternating current and direct current hybrid microgrid; improvinga culture genetic algorithm, and solving the double-layer optimized mathematical model of the alternating current and direct current hybrid microgrid. According to the method, the maximum of renewable energy source consumption rate is taken as the upper target function, the minimum operating cost of the alternating current and direct current hybrid microgrid is taken as the lower target function,the double-layer optimized mathematical model of the alternating current and direct current hybrid microgrid can realize efficient utilization of renewable energy sources, and the method is beneficial for economic operation of the alternating current and direct current hybrid microgrid.

The invention discloses a power distribution network new energy consumption capability evaluation method considering multiple risk factors. The method comprises the following steps: establishing a load and distributed new energy output random model; establishing a probability density function and a probability distribution function of the state variable of the power distribution network based on asemi-invariant method; constructing a power distribution network operation safety risk evaluation index system; constructing a power distribution network operation economy risk evaluation index system in a typical scene; converting an economic operation risk index of the typical scene based on the conditional risk value; constructing a new energy consumption objective function of the power distribution network by taking the maximization of the digestible distributed new energy power as an objective; and constructing a power distribution network new energy consumption constraint condition considering multiple risk factors, and solving a new energy consumption optimization problem. According to the method, the random characteristics of the new energy can be processed, the multi-dimensionaland multi-level risk evaluation index system is utilized, the operation safety and economy requirements of the power distribution network are considered, and evaluation of the new energy consumption capability is realized.

The invention discloses an intelligent warning method on the basis of a multilayer fault inference library and an intelligent inference machine. The intelligent warning method has the advantages that the multilayer fault inference library is created according to topological structures, component parameters and fault characteristics of intelligent transformer substations, faults are analyzed according to the intelligent inference machine, and the intelligent warning method is flexible in implementation, convenient to expand and high in adaptability and implementation capacity, powerful conditions can be provided for power grid scheduling operating personnel to quickly handle equipment anomaly and faults, the method has an important significance and effect on improving the work efficiency and promoting safe and economical running of power grids, and has an excellent application prospect, and the like.

A large coal mine DC power supply scheme put forward by the invention adopts a DC bipolar radial multi-voltage-level network topology, which comprises a ground converter station, a ground DC power supply system and an underground DC power supply system. The ground converter station is a general DC power supply, and is grounded by grounding the DC side of a modular multilevel converter MMC thereof through a large clamp resistor. The ground DC power supply system and the underground DC power supply system are mainly used for transforming and distributing electricity for ground and underground loads. Compared with the existing large coal mine AC power supply scheme, the large coal mine DC power supply scheme has the advantages of relatively simple topology structure, strong power supply capacity, no reactive power balance or harmonic pollution problem and lower operation cost, and can meet the power supply capacity and power supply need of large coal mines from the perspectives of technology and economy. Therefore, the large coal mine DC power supply scheme is a new way of thinking for solving the problem on how to supply power to a large coal mine.

The invention discloses a self-adaptive optimization control method for steam-driven induced draught fan guide vanes. The method mainly includes the following steps that (1) a plurality of auxiliary systems of a small steam turbine are put in, the impulse starting condition of the small steam turbine is preset, and a turbine heating mode is started; (2) under the turbine heating mode, in the period that a rotating speed R of the small steam turbine on an induced draught fan is in continuing speed increasing, and the induced draught fan guide vanes control a hearth negative pressure by adoptinga closed loop control loop; (3) when the rotating speed of the small steam turbine on the induced draught fan is increased to reach a rotating speed preset value, a rotating speed adjusting manner isstarted, and the hearth negative pressure is controlled by adopting closed loop control in the rotating speed adjusting manner; and (4) on the basis of the step (3), when the boiler air volume or theload capacity rises, the guide vane opening degree Y is gradually increased to an opening degree set value in an opening manner, the induced draught fan guide vane closed loop state is released, andthe induced draught fan guide vanes enter an open loop adjusting manner. According to the self-adaptive optimization control method for the steam-driven induced draught fan guide vanes, the opening degree piecewise function f(x) corresponding to the optimal economical opening degree value Y0 of the guide vanes is gathered and solidified into a DCS, and it is achieved that the induced draught fan guide vanes control the hearth negative pressure to be automatic in the whole process in a full-load stage of a unit.

The invention provides a micro-grid power safety and economic dispatching method comprising the following steps of bringing the adjustable resource operation data in the micro-grid into a pre-established micro-grid operation model, obtaining an active output reference value of the adjustable resources in the micro-grid through optimization solution by combining the renewable energy prediction dataand the load prediction data, and performing load flow calculation based on the active output reference value to obtain initial voltage values of each node; for the nodes where the voltage exceeds the limit, correcting the active output range of the adjustable resources by a set voltage control strategy until the voltage over-limit is eliminated, and converging the objective function with the lowest total operating cost of the micro-grid controllable generator set to the optimal solution. The technical solution provided by the invention realizes the optimal operation of the micro-grid by optimizing the active output of the adjustable resources in the network.

The invention discloses a power transformer no-load automatic power-off device. When a certain amount of load exists on the low-voltage side of a power transformer, a current mutual inductor has current, voltage signals are amplified by an audion after being rectified by a diode, a transistor is powered on, a capacitor is in short circuit, a relay does not have electricity, and a breaker does not act. When the power transformer has no load and the current mutual inductor has no current, a transistor amplifier is cut off, and the capacitor is charged through a resistor. When the voltage rises to a certain value, a field effect audion is powered on, the relay obtains electricity, a normally open contact on the relay is pulled in, a breaker trip coil is powered on, the breaker trips, a high-voltage loop is cut to supply electricity, and the transformer is out of operation. The capacitor is charged for 20-30 minutes through the resistor, the high-voltage breaker can be chosen from CG 50 or CG-100, and an oil circuit breaker and a vacuum breaker with columns of electricity control can be chosen. The power transformer no-load automatic power-off device has the advantages of improving grid security and reducing unnecessary power loss.

The invention provides a fiber grating-based transformer internal temperature detection system, which comprises a light source, fiber grating sensors, a grating signal demodulation system, a signal processing display instrument and data analysis software, wherein the fiber grating sensors are arranged on a winding and a strut of a transformer and sensing points at other positions in the transformer and used for sensing measurement of transformer temperature, stress and local discharge parameters; the grating signal demodulation system receives the measured data of the fiber grating sensors, and accurately demodulates corresponding light signals of the temperature, stress and local discharge parameters; the signal processing display instrument performs correction processing such as temperature compensation, stress sensitivity removal and the like on the measured signals, and displays real-time data on an instrument panel; and the data analysis software performs programming software analysis on the processed data to acquire real-time transformer internal temperature field and temperature change, and then performs transformer internal temperature monitoring and full service life assessment. The system realizes real-time measurement of temperature of multiple points in the transformer through the photoelectric sensors, and provides a good foundation for economic operation of the transformer.