160results about How to "Consider flexibility" patented technology

The invention discloses a layout device and method for a semiconductor secondary piping installation project, and the device comprises a file uploading module which receives a layout file of a semiconductor production line; the data analysis module is used for analyzing the layout file, acquiring attribute information and position information of the equipment and transmitting the attribute information and the position information to a secondary piping database; the data analysis layout module is used for giving a secondary piping installation pipeline diagram, and obtaining a corresponding pipeline instrument assembly in a secondary piping database by combining an assembly matching algorithm to form a pipeline instrument flow chart; and the three-dimensional space management module is combined with a three-dimensional model generation algorithm to generate a layout model of the semiconductor secondary piping installation project. Through linkage of semiconductor layout information and a secondary piping database, in combination with a component matching algorithm, information of a secondary piping component is obtained, and according to a three-dimensional model generation algorithm, automatic output of semiconductor secondary piping layout is realized and visual display is performed in a three-dimensional scene.

The invention discloses a photovoltaic-energy storage-charging multi-stage scheduling and market bidding optimization method and a photovoltaic-energy storage-charging multi-stage scheduling and market bidding optimization device. The method comprises the following steps: constructing a data-driven random environment model reflecting photovoltaic output, electricity price fluctuation and charging load uncertainty by adopting a mode of combining time sequence clustering and a non-homogeneous Markov chain based on historical operation data; modeling a scheduling and bidding problem of the optical storage and charging integrated station into a multi-stage Markov decision process model which comprises day-ahead decision and joint optimization of multiple intra-day rolling adjustment; a deep reinforcement learning algorithm is utilized to train the network, and a strategy regulation and control network which can adapt to various uncertain scenes and meet equipment physical constraints is obtained; and deploying the trained strategy regulation and control network in an energy management system to realize global coordinated scheduling and bidding of the optical storage and charging integrated station. According to the method, the economic benefit is remarkably improved, the robustness is greatly enhanced, the decision is globally coordinated and optimized, the real-time decision capability is strong, and the expandability and portability are good.

The invention discloses a control method and system based on an intelligent charging pile cluster, and relates to the technical field of intelligent charging piles, and the method comprises the following steps: recognizing each stage of battery charging, the battery charging stages including an initial stage, a fast charging stage and a trickle charging stage; after entering the trickle charging stage, acquiring charging current data of the battery in real time; and after the real-time current data is obtained, the current data obtained in the trickle charging stage is analyzed under the detection window, and the abnormal condition of current fluctuation is identified. According to the invention, through real-time analysis of current data and rapid identification and adjustment of abnormal fluctuation, damage to the battery caused by overlarge current is avoided, and especially in a trickle charging stage, the service life of the battery is prolonged and the safety is improved. After the abnormal current fluctuation is controlled, the fuzzy logic and PID control are combined, the nonlinear fluctuation is flexibly coped, the stable current is accurately adjusted, the response capability and the regulation and control precision of the system are improved, and the safety and the high efficiency of the charging process are ensured.

The invention belongs to the technical field of power electronic converter control, and discloses a control method of a grid-forming type doubly-fed asynchronous wind power generation system with power control capability, which comprises a control process of a rotor-side converter and a control process of a grid-side converter, and is characterized in that the rotor-side converter forms a grid-forming type characteristic at a motor stator winding port, and the grid-side converter forms a grid-forming type characteristic at a motor stator winding port; the energy injected into the direct current bus capacitor is controlled; the grid-side converter maintains the input and output energy balance of the DC bus capacitor so as to control the voltage of the DC bus capacitor to be constant; the control process of the rotor side converter comprises a frequency support control loop, a power control loop, a voltage and current inner loop and pulse width modulation control, and the control process of the grid side converter comprises a direct current voltage control loop, a reactive power control loop, an alternating current control loop and pulse width modulation control. According to the invention, the capability of controlling the output power can be provided while the network construction type power dynamic index is realized.

The invention relates to a system configuration method and device based on probability prediction and credible regulation potential quantification, and the method comprises the steps: inputting the source load data of a typical scene into a trained QRLSTM model, obtaining a source load probability prediction result, describing the time sequence correlation of photovoltaic and load through a small number of scenes, and achieving the effective quantification of prediction uncertainty; flexible resources of the heat supply network and the cold supply network are aggregated in sequence by adopting a robust optimization algorithm, dispatching decoupling of thermoelectricity, heat cooling and cold electricity is realized, the maximum upward / downward adjustable potential and credible adjustment potential of the heat supply network and the cold supply network to the power grid are accurately quantified, and the problem of strong information barriers among energy systems is solved; according to the method, the source load probability prediction and the flexible resource credible adjustment potential are taken as boundaries, the cost minimization is taken as a target, the double-layer multi-scene collaborative optimization configuration model is constructed, the uncertainty of the source load is accurately described, the adjustment capability of the flexible resource is quantified, and the economy and the flexibility of planning operation of the integrated energy system are integrally improved.

The invention discloses a large-scale new energy rapid power control transient calculation method and system, and relates to the technical field of large power grid transient calculation, and the method comprises the steps: modifying the power control instruction values of new energy power generation equipment in batches, and carrying out the pre-acceleration of a power outer ring, so as to achieve the purpose of actually changing the output value of the new energy power generation equipment. According to the specific implementation method, a new energy control plant-station set is configured, and power instructions of new energy power generation equipment in the plant-station set are uniformly increased or decreased according to a certain proportion, so that power instruction modification of a large number of equipment is realized; after the power instruction is modified, the difference value between the power instruction and the current actual power output value is calculated, integral operation is carried out on the difference value, an integral result serves as input of an original power outer ring, and the purpose of quickening response to the power instruction is achieved.

The invention provides a fine configuration method and system based on a strategy mode, and the method comprises the steps: defining themes used for abstracting entrance traffic, order distribution and other events through a configuration system, and configuring a basic data source and a data processing rule for each theme, wherein the data processing rule supports a user to carry out code development implementation in a basic class of each service line according to service requirements; the system automatically stores theme data to middleware, matches a corresponding theme through a strategy mode after receiving a user request, performs secondary data processing according to a configuration rule and returns a result; the technical effects of flexible configuration mode, quasi-real-time index calculation, support of multi-source data access, high-concurrency scene adaptation and good expansibility in flow fine management are realized, and the service operation demand change can be quickly responded.

The utility model provides a flexible row extraction column structure suitable for high-throughput operation and a separation device. The extraction column structure and a liquid storage pipe are sleeved for use; the extraction column structure is inserted into the liquid storage pipe and is pressed down for filtration, to-be-filtered liquid stored in the liquid storage pipe enters from an opening in the bottom of the filter pipe, sequentially penetrates through the sieve plate assembly (6) and the filter membrane assembly (3) and then enters an inner cavity of the pipe body, and extraction liquid is obtained after pressing down for filtration; through design optimization of the sieve plate assembly (6) and the filter membrane assembly (3), the extraction column structure can be used for liquid-liquid separation or solid-liquid separation, and when the extraction column structure is used, the extraction column structure is inserted into a liquid storage pipe and pressed down to obtain a separated product. The extraction column structure has important application value in realization of high throughput and automatic detection.

The invention is mainly used in the technical field of photovoltaic power generation. The invention discloses a photovoltaic power generation intelligent insulation detection system which comprises a host and a plurality of subsystems. Each subsystem comprises an extension set, a photovoltaic direct current assembly composed of a plurality of photovoltaic strings, and a detection device; the extension set is respectively connected with each photovoltaic string in the photovoltaic direct current assembly and is used for controlling each photovoltaic string to be in an on state or an off state and sending a detection instruction aiming at a target photovoltaic string to the detection device; the detection device is used for performing insulation resistance detection on the target photovoltaic string when receiving the detection instruction and feeding back a detection result to the corresponding extension set; and the host is in communication connection with each extension set and is used for acquiring the insulation detection results and the operation data of all the photovoltaic group strings in each subsystem and carrying out data analysis. According to the invention, the safety and reliability, the operation and maintenance efficiency and the digital management level of a large-scale photovoltaic system can be improved.

This invention relates to the field of medical device technology, specifically to a fixation brace for postoperative repair of lateral collateral ligament injury of the ankle joint. It includes a bionic support shell conforming to the dorsum of the foot, ankle, and heel. The bionic support shell comprises a dorsum segment, an ankle segment, and a heel segment conforming to the dorsum of the foot, ankle, and heel. The bionic support shell is equipped with a multi-dimensional fit and fixation mechanism and an adaptive rehabilitation adjustment mechanism. The multi-dimensional fit and fixation mechanism is electrically connected to a control module, which is also electrically connected to the adaptive rehabilitation adjustment mechanism. The multi-dimensional fit and fixation mechanism includes an arch support component, a circumferential tightening component, and a heel limiting component. The control module is used to adjust the fixation force of the multi-dimensional fit and fixation mechanism, simultaneously and in conjunction with adjusting the range of motion limits of the adaptive rehabilitation adjustment mechanism. This invention achieves precise multi-point fit and fixation of the ankle joint, with precisely adjustable fixation force.

The invention discloses a data security management method based on artificial intelligence, and belongs to the technical field of data processing, and the method comprises the following steps: S1, calculating a storage management demand for to-be-managed data according to a database for storing the to-be-managed data; s2, performing reading operation on the to-be-managed data, and generating a multi-dimensional data set for the to-be-managed data; s3, generating a security encryption key by using the storage management requirement of the to-be-managed data and the multi-dimensional data set; and S4, encrypting the to-be-managed data by using the security encryption key to complete security management. The encryption key is generated by combining the storage management requirement and the multi-dimensional data set, the complexity and the uniqueness of the key can be ensured, the generation strategy of the encryption key can be dynamically adjusted according to the change of the storage management requirement, and the flexibility and the expandability of safety management are considered.

The utility model belongs to the technical field of roadway dust removal, and relates to an air flow purification device of a fully-mechanized face air return crossheading, which comprises a frame type component, a lifting component, a lower rotating component, an upper rotating component and a spraying component, the frame type component is used for allowing an operation vehicle to pass through, and the lifting components are arranged on the two sides of the frame type component and used for achieving lifting of an upper structure in the frame type component; a spraying component is arranged in the middle of the upper structure of the frame type component and used for treating dust in an area where a vehicle passes through. The rotating lower part is hinged with one side of the lower structure of the frame type part, and the spraying part is arranged at the upper part of the rotating lower part; the rotating upper part is hinged to the side, close to the rotating lower part, of the upper structure in the frame type part, and a dust catching net is arranged between the rotating upper part and the frame type part. Sufficient passing space is provided for vehicles, obstruction of a traditional dust catching net to traffic is avoided, different roadway heights and environment conditions can be flexibly adapted, and the stability of the treatment effect is ensured.

The application provides an XGBoost training method and system based on multi-party privacy protection, and belongs to the technical field of machine learning; a key pair is generated for each user by encoding feature values in a one-hot encoding mode; data is encrypted by using a single instruction multiple data method and uploaded to the cloud; for a partition scene corresponding to a data type of the encrypted data, the encrypted data of each user is aggregated to construct an encrypted data set; based on the encrypted training set, a secure training algorithm is used to generate an XGBoost model in a ciphertext state for encrypted prediction services; wherein the secure training algorithm comprises secure gain calculation, secure division calculation, secure sigmoid calculation and secure tree building calculation. The private data of multiple participants can be encrypted respectively, privacy leakage caused by direct use of plaintext data is avoided, and the encrypted data can be used for offline training after being uploaded, so that practicability and deployment flexibility are considered.

This utility model relates to the field of photovoltaic power station cleaning technology, and in particular to a cleaning and maintenance vehicle for photovoltaic power station construction. It solves the problem that existing technologies generate a large amount of waste and dust during photovoltaic power station construction, as well as water stains, all of which require timely cleaning. However, manual cleaning is currently time-consuming and labor-intensive. The photovoltaic power station construction cleaning and maintenance vehicle includes a mobile frame, characterized in that a support plate is fixedly installed on the top of the mobile frame. This utility model, through the combined design of lateral and longitudinal cleaning components, utilizes the meshing transmission of a first bevel gear and a second bevel gear to achieve synchronous linkage between the lateral and longitudinal cleaning brushes. This allows for cross-cleaning of waste, dust, and water stains in the photovoltaic power station construction area from different directions, significantly improving cleaning coverage and cleaning effect, and solving the problem of incomplete cleaning in traditional single-direction methods.

The invention provides an intelligent adjusting system for a vehicle-mounted skylight, and aims to automatically adjust the opening and closing degree of the skylight and the position of a sun shield by monitoring external environmental factors in real time. The system comprises a plurality of key units: an environment sensor unit, a data processing unit, an automatic adjustment control unit, a safety protection unit and a user interaction unit. The environment sensor unit monitors external environment data in real time through temperature, humidity, wind speed, sunlight and other sensors; the data processing unit inputs the data into an intelligent algorithm to generate an optimal adjustment scheme; the automatic adjusting control unit automatically adjusts the skylight and the sun shield according to the adjusting scheme; the safety protection unit preferentially considers the safety of the driver and passengers in the adjusting process. The user interaction unit provides a touch screen or a voice assistant interface, and a user is allowed to manually adjust the position of the skylight and the position of the sun shield. According to the system, intelligent and personalized skylight adjustment can be realized according to different external environment changes, and the user experience is improved.

The invention discloses an active power distribution network flexibility improvement method and system based on intelligent soft switch optimization, and the method comprises the steps: firstly constructing a network flexibility evaluation framework, and then constructing a deterministic planning model of intelligent soft switch optimization configuration based on an obtained flexibility evaluation index. Based on the deterministic planning model, introducing a scene-based maximum and minimum regret value method, and constructing an intelligent soft switch optimal configuration robust planning model; and finally, solving and verifying the model. According to the method, the maximum permeation capacity range of renewable energy is defined as a flexibility index, and the uncertainty of a new energy high-permeation scene can be more efficiently adapted; the economy and the flexibility of the power distribution network are considered through dual-objective optimization; the robust method based on the scene is adopted for solving, all considered renewable energy output fluctuation scenes can be covered, it is ensured that the obtained scheme has feasibility under various fluctuation working conditions, and the operation stability and the anti-interference capacity of the power distribution network are remarkably improved.

The utility model provides a kind of folding multifunctional travel draw-bar box, it is related to draw-bar box technical field, including box, the bottom of box is provided with gyro wheel A, the top of box is provided with draw-bar body, the right side fixed mounting of box is provided with lock block, the left side fixed mounting of box is provided with support block, the surface of box is provided with lid, the bottom of lid is provided with gyro wheel B, the right side of lid is provided with lock cover, the inside of lid is provided with extension plate, improve practicality and user experience, the synergistic effect of extension plate, adjusting groove, limit block and sliding groove, give box space height adjustability, adapt the classification storage needs of different size articles, the combination design of threaded rod and steering handle further simplifies the operation process of article fixation, avoid displacement or damage due to vibration in the process of transportation, overall structure gives consideration to flexibility and stability, meet the efficient storage and convenient carrying needs under multiple scenes.

The present application relates to the technical field of aluminum strip electroplating, and particularly relates to a continuous extrusion and electroplating integrated preparation method for aluminum strip. The present application is characterized by the following aspects: a full-process continuous process design is adopted, including continuous extrusion, continuous electroplating pretreatment, continuous electroplating of composite coating, and continuous post-plating treatment; a differentiated process connection scheme is set for 1 series and 6 series aluminum alloy substrates; a nickel functional layer deposition thickness quantitative regulation and control model is adopted, in which a turbulence correction coefficient is introduced; and a copper-nickel composite coating structure, segmented current density control, plating solution temperature matching concentration matching regulation and control technology are adopted. The present application realizes integrated continuous production of aluminum strip forming and surface modification, greatly improves the adhesion, thickness uniformity and corrosion resistance of the coating, and balances the production efficiency and product performance, and can be widely applied to the preparation of conductive aluminum strips in high-end fields such as new energy vehicles.

A walking device for power conductor rotating operation equipment and a control method thereof. The walking device comprises a semicircular plate, lifting mechanisms arranged on both sides of the semicircular plate, telescopic mechanisms, horizontal moving gantry mechanisms connected to the telescopic mechanisms, and driving clamping mechanisms connected to the horizontal moving gantry mechanisms. The control method adopts the walking device, detects obstacles in front in real time by using a detection unit, automatically adjusts the pitch angle by using the rotary connection between the telescopic mechanisms and the semicircular plate, plans a composite obstacle avoidance track by the lateral displacement of the telescopic mechanisms cooperating with the gantry mechanisms according to the shape of the obstacles, and realizes power failure protection by using the mechanical self-locking characteristics of the forward and reverse rotating ball screws and the roller envelope structure. The present application can realize stable obstacle crossing and flexible posture adjustment of the power conductor rotating operation equipment under heavy load conditions, avoid mechanism jamming or wire damage caused by rigid confrontation, and reduce the risk of equipment falling caused by power failure during operation.

The invention provides a many-for-one alkaline electrolytic hydrogen production system separator capacity design method and device based on an improved multi-objective optimization search algorithm, and belongs to the technical field of hydrogen production system capacity configuration. Comprising the following steps: establishing a thermal-mass coupling dynamic model of an N-in-1 alkaline electrolytic hydrogen production system, including an accumulation dynamic model of oxygen impurity HTO in hydrogen and a thermal inertia model; defining multi-dimensional performance indexes, including starting time, HTO fluctuation index, temperature consistency and low-load operation time; taking the separator capacity as a decision variable, and taking minimization of starting time and HTO fluctuation index and maximization of low-load operation time as optimization objectives to construct a multi-objective optimization model; and solving the multi-objective optimization model by using an improved non-dominated sorting genetic algorithm NSGA-II, obtaining a Pareto optimal solution set of the separator capacity, and obtaining a separator capacity configuration result.

The utility model discloses a kind of laser devices convenient to patch package, including support, laser chip, metal pipe cap, the support includes concave table, metallized pad and annular step part, metal heat sink is fixedly embedded in the concave table, the laser chip is fixed on the metal heat sink upper surface by eutectic solder, the metal pipe cap is the tubular structure of one end opening one end airtight, the edge of the opening end of the metal pipe cap is sealed and fixed with the annular step part, the problems such as high cost, low production efficiency, poor fault tolerance, heavy weight of traditional TO packaging equipment are solved by structural innovation, under the premise of guaranteeing the performance of laser device, production economy and process adaptability are significantly improved.

The invention provides a data query method and device, a storage medium and electronic device.The method comprises the steps that in response to first text information input by a user in a target interface, a first keyword set is obtained; determining a target structure element in a plurality of structure elements of the data table; escaping a first type of keywords corresponding to the target structure element in the first keyword set into a second type of keywords to obtain a second keyword set; generating text prompt information based on the second keyword set, and calling the target large language model to process the text prompt information to obtain a first database operation statement returned by the target large language model; reversely defining a second type of keywords in the first database operation statement into a first type of keywords to obtain a second database operation statement; querying a database storing the data table based on the second database operation statement to obtain a query result, generating second text information based on the query result, and displaying the second text information on the target interface.

The invention discloses a distribution transformer voltage prediction method and system based on a multivariable space-time diagram neural network, and the method comprises the steps: obtaining the historical voltage data and meteorological data of a power distribution area, and constructing a multi-dimensional feature matrix; a prior adjacency matrix is constructed according to an electrical coupling relation between transformer areas in a power distribution network, an adaptive adjacency matrix is generated through an adaptive graph convolutional network, and the prior adjacency matrix and the adaptive adjacency matrix are fused to obtain a mixed adjacency matrix; and constructing a multivariable space-time diagram neural network, and predicting to obtain the voltage of the power distribution area in a certain duration. According to the method, the end-to-end deep learning model is constructed, time dynamics and spatial correlation are captured at the same time, and multi-dimensional external factors are fused, so that accurate prediction of the voltage of the power distribution area from the next 24 hours to the next 168 hours is realized.

The invention discloses an air-cooled fuel cell system and a low-temperature start control method, and belongs to the technical field of fuel cells, and the air-cooled fuel cell system comprises a fuel cell stack, a bidirectional cooling fan, a mainboard, a first housing, a second housing, a first temperature sensor and a second temperature sensor. In cooperation with cycle control of low-efficiency reaction and normal reaction, the problem of thermal runaway of the fuel cell stack caused by long-term continuous heating in the same area due to the fact that low-temperature starting temperature regulation cannot be performed in the prior art is avoided, and efficient, safe and quick starting of the air-cooled fuel cell system in a low-temperature environment is realized; and the air-cooled fuel cell system is particularly suitable for wide application in cold regions.

The utility model discloses a roll up banner support with a horizontal calibration function, and particularly relates to the technical field of display devices.The roll up banner support comprises a fixed base plate, two outer pipes are fixedly installed on the top of the fixed base plate, the bottoms of the outer pipes are inserted into the fixed base plate, a supporting mechanism is arranged above the fixed base plate, and the supporting mechanism is arranged on the fixed base plate. The supporting mechanism comprises an inner pipe, the top of the inner pipe is detachably provided with a top supporting plate, the stability of the equipment structure and the use flexibility are improved, the telescopic supporting legs can be adjusted according to different ground conditions, it is ensured that the support can be kept stable on different terrains, and the device is compact in structure, comprehensive in function and convenient to use. A stable and reliable display platform is provided for exhibition and display activities, practicability and flexibility are both considered, a user can rapidly judge whether the support is horizontal or not through the gravity plumb bob indicator, the support is rapidly adjusted to be in the horizontal state, and extra measuring tools do not need to be used.

The present application relates to probe card pressure test technical field, especially probe card pressure distribution intelligent regulation and control method and system. The contact state type is obtained by feature extraction and pattern recognition of pressure time domain waveform, the independent physical field contribution component is obtained by decoupling based on coupling relationship of multi-modal data of pressure field temperature field mechanical field, the differentiated compensation strategy is generated combined with the contact state and the contribution component, and the multi-field compensation time sequence is cooperatively arranged, the probe card is divided into sub-regions to configure the regulation and control unit for local compensation, and the cross-region cooperative compensation is performed when insufficient, the pressure response characteristics are monitored to identify the fault probe, and the redundant probe is selected for load redistribution. The present application realizes the intelligent balanced regulation and control of the probe card pressure, and improves the test uniformity and reliability.

The utility model discloses a modularized drawer type switch cabinet, which relates to the technical field of switch cabinets, and comprises a switch cabinet main body, an installation adjusting mechanism is fixedly connected in the switch cabinet main body, a drawing type slide rail is installed on the side surface of the installation adjusting mechanism, a drawer main body is fixedly connected on the side surface of the drawing type slide rail, and the installation adjusting mechanism comprises a support rod. According to the height of an installation element in the drawer body, the drawer body is pushed up and down, the sleeve is driven to slide along the supporting rod, in the process that the sleeve slides along the supporting rod, the dovetail insertion block is separated from the interior of the dovetail groove in the surface of the supporting rod, at the moment, the second spring is compressed, and the limiting rod slides along the connecting frame; and after the dovetail insertion block reaches the position of a new dovetail groove again, the second spring recovers the deformation to push the dovetail insertion block to be inserted into the new dovetail groove in the side face of the supporting rod, so that the height of the drawer body is limited, and the limitation of a traditional fixed modulus is broken through.

The invention provides an illumination intensity detection vehicle based on a cross arm type, a cross arm type lifting module is arranged on a detection vehicle body, each cross arm group of the cross arm type lifting module at least comprises two or more stages of cross arms, and the adjacent stages of cross arms are a lower-stage cross arm and an upper-stage cross arm respectively. A containing space is arranged between the inner side lower-level cross arm and the outer side lower-level cross arm in the Y-axis direction, the upper-level cross arm is connected above the lower-level cross arm, the inner side of the inner side lower-level cross arm is connected with the lower end of the inner side upper-level cross arm, and the inner side of the outer side lower-level cross arm is connected with the lower end of the outer side upper-level cross arm. The upper-level cross arm is installed in the containing space of the lower-level cross arm when folded, the uppermost upper-level cross arm is connected with the detection execution module, and the lowermost lower-level cross arm is connected with the cross driving device. According to the invention, the cross arm type lifting module part is redesigned, the chassis span of the cross arm type lifting module on the Y axis is increased, the lowest lower limit height is reduced, and the lowest detection range is increased.

The application discloses a kind of bridge three-coordinate measuring machine's automated verification method and measuring machine, comprising the following steps: step S1, the probe of measuring machine is calibrated, and the configuration parameters required for verification task are loaded or entered, and the standardized measurement program environment is constructed;Step S2, establish reference coordinate system in combination with manual sampling and automatic sampling, and generate a plurality of measurement sub-coordinate systems based on tool layout;Step S3, call the measurement sub-coordinate system and probe compensation parameter, automatically cyclically measure the standard device, and calculate the size deviation and tolerance in real time;Step S4, real-time storage of measurement data to external file, and automatically generate standardized verification report based on preset template.Greatly reduce manual intervention, shorten the verification period, improve work efficiency.

The utility model discloses an intelligent fireproof suit with a multi-mode sensing function, which relates to the field of protective clothing and comprises a fireproof suit body, a multi-mode sensing fabric is arranged in the fireproof suit body, and the multi-mode sensing fabric, a signal acquisition module, a central processing unit, an alarm module and a power supply are integrated on the fireproof suit body. The multi-mode sensing fabric obtains environment data, the environment data is sent to the central processing unit through the signal acquisition module to be analyzed and judged to obtain a judgment result, and the central processing unit sends the judgment result to the alarm module through the first output port to give an environment data alarm. The signal acquisition module, the central processor and the alarm module are connected with the power supply. The flexible breathable fabric has the performances of flexibility, breathability and the like, and the wearing comfort of a human body is greatly improved. The cost is low, and popularization and application of the intelligent fireproof clothing are facilitated.