122 results about "Hotline" patented technology

The invention relates to the technical field of model training, in particular to a hotline platform label model training method based on a deep neural network. The method comprises the following steps: preprocessing an input hotline work order text, and extracting channel, region, time and other structured metadata; performing semantic coding on the text by adopting a pre-trained BERT model, and dynamically fusing structured metadata and text features through a gating attention mechanism; performing field adaptive pre-training by using a hierarchical encoder, and outputting an enhanced semantic representation vector; constructing a label co-occurrence probability matrix and inputting the label co-occurrence probability matrix into the graph neural network for multi-label collaborative prediction; carrying out adaptive optimization by combining a focus loss function and a meta-learning framework; the teacher model is compressed into a student model through knowledge distillation, and the student model is deployed to an NPU hardware platform, so that real-time reasoning and online feedback closed loop are realized. According to the method, the work order classification accuracy can be remarkably improved, the order sending error rate and the processing delay are reduced, and the hotline service intelligent level and the operation and maintenance efficiency are improved.

The invention provides an electric blanket heating wire state judgment method and system, a medium and a product, and relates to the technical field of safety monitoring. In the method, a control processing unit firstly samples at a first preset frequency and calculates a signal change rate; and when the signal change rate value exceeds the standard rate threshold value, the control processing unit judges that the electric blanket is in a suspected heat accumulation state, and at the moment, the output power of the heating wire is controlled to be reduced to a preset duty ratio. Then, the control processing unit adopts a second preset frequency to collect signals and filter the signals, extracts signal values at the first moment and the second moment, and calculates the characteristic value of the thermal attenuation trend; and finally, the control processing unit realizes the distinguishing between the local wire twisting state and the folding state based on the deviation degree of the characteristic value and the standard thermal attenuation characteristic value. According to the method, the technical problem that the high-temperature cause cannot be distinguished only through the instantaneous temperature is relieved, and accurate recognition of the twisted wire fault and the folding working condition is achieved.

The invention discloses a work order risk identification method and apparatus, and an electronic device, belongs to the technical field of computers, and aims to solve the problem of lack of a technical scheme for identifying high-risk work orders in government affair hotline work orders at present. The method comprises the following steps: acquiring item contents of a plurality of registered items in a petition item library, and determining at least one group complaint event according to the item contents; obtaining content information of a plurality of target work orders in a government affair hotline work order library; for each target work order, matching the target work order with all group complaint events according to the content information of the target work order to obtain a matching result; the matching result comprises a corresponding relationship between the target work order and the group complaint event; determining a first number of target work orders corresponding to each group complaint event according to a matching result of all the target work orders; and for each group complaint event, determining that the target work order corresponding to the group complaint event is a high-risk work order under the condition that the first number meets a preset condition.

The invention discloses a linkage command decision-making and early warning method fusing grid patrol events and artificial intelligence, and belongs to the technical field of crossing of smart cities and artificial intelligence. The method aims at solving the problems of low efficiency and insufficient early warning caused by the fact that multi-source data are difficult to fuse and event association depends on manpower in existing urban governance. According to the scheme, multi-source data such as grid patrol, Internet of Things monitoring and hotline are accessed and standardized to form a standardized event in a unified format; performing time-space and semantic fusion analysis on the events by using an artificial intelligence analysis engine, intelligently merging associated events and identifying high-risk events; early warning is automatically generated based on a preset rule base, and a processing task is distributed to a corresponding service system; and finally, the command system carries out unified scheduling. According to the method, intelligent association analysis, active early warning and cooperative command of urban governance events can be realized, and the management efficiency is improved.

The invention provides a government affair hotline resource optimization method and device based on time sequence prediction and reinforcement learning. The method comprises the steps of obtaining historical service work order data of a preset historical time period from a government affair hotline service platform; according to the historical service work order, utilizing a time sequence prediction model to predict future service work order data in a preset future time period; and determining a resource scheduling strategy in the preset future time period by using a reinforcement learning model. According to the technical scheme provided by the invention, in order to improve the working efficiency and reduce the user waiting time and unnecessary troubles in the process that government affair hotlines serve people, the historical work order data is deeply analyzed by using the time sequence prediction model, and possible problem hotspots and service demand peak periods in the future can be more accurately predicted. The distribution strategy of manpower and technical resources is dynamically adjusted in combination with a reinforcement learning algorithm, and it is ensured that the optimal government affair hotline service response speed and service level can be kept in different time periods.

The invention discloses a speed measurement system of a hot-wire anemometer and a control method thereof, and the system comprises a bridge sensor module which comprises a bridge comprising a detection resistor, and when the resistance value of the detection resistor changes along with the wind speed, the voltage difference value of the output end of the bridge is larger than a difference value threshold value; the analog-to-digital conversion circuit is used for converting a voltage analog signal output by the bridge output end into a digital signal; the central processing module is connected with the analog-to-digital conversion circuit and is used for receiving the digital signal and generating a feedback signal based on the digital signal; and the digital-to-analog conversion circuit is used for converting the feedback signal into a bridge top voltage analog signal, inputting the bridge top voltage analog signal to the bridge, and adjusting the bridge top voltage of the bridge to enable the voltage difference value to be smaller than or equal to the difference value threshold value. According to the system, active closed-loop adjustment is realized through a high-speed digital signal processing mode, and compared with a previous negative feedback hot-wire anemometer, the stability of the system is improved, the requirements on the performance of system components are reduced, the anti-electromagnetic interference capability is improved, and measurement errors caused by environmental factors are reduced.

1. The name of the design product: electronic device with cartoon image dynamic online customer service consultation user interface. 2. The use of the design product: an electronic device. 3. The design points of the design product: the content of the graphical user interface in the screen. 4. The picture or photo that best indicates the design points: design 1 front view. 5. The entity product is a common design, and other views are omitted. 6. Design 1 is designated as the basic design. 7. The use of the graphical user interface: the design product is used for enterprise website platform consultation. When users visit the website, they can conduct online consultation by clicking different buttons of online customer service on the page. 8. The human-computer interaction mode of the graphical user interface: design 1 front view, design 2 front view, design 3 front view, and design 4 front view are all initial interface diagrams; design 1 interface change state diagram is the interface change state diagram based on design 1 front view, automatically scrolling complete subtitles and automatically playing IP image animation, wherein the enterprise IP image circulates to welcome users by opening hands, and the left side circulates to display "xxxx company welcomes you!" subtitles from bottom to top; design 2 interface change state diagram is the interface change state diagram based on design 2 front view, moving the mouse to the blue telephone icon, wherein the consultation hotline is displayed, and the telephone information can be copied through the mouse; design 3 interface change state diagram is the interface change state diagram based on design 3 front view, moving the mouse to the blue email icon, wherein the email information is displayed; design 4 interface change state diagram is the interface change state diagram based on design 4 front view, moving the mouse to the blue communication icon, wherein the scan code information and text are displayed.

The invention discloses an underground natural gas hydrate reservoir thermal conductivity in-situ measurement method and device, a thermal conductivity detector is arranged in a seabed open hole well, a sea surface control instruction is downloaded and test data is uploaded through pressure-resistant watertight cable carrier communication, and a driving motor, a speed reducer and a screw sleeve and screw rod transmission combined mechanism are adopted to realize in-situ measurement of the thermal conductivity of an underground natural gas hydrate reservoir. Lifting / lowering a convex disc on the central supporting rod, extruding / loosening a convex sliding block on the measuring probe, and inserting / extracting the measuring probe into / out of the reservoir around the well; the method comprises the following steps: heating a surrounding stratum through a plurality of heating probes and temperature probes which are spirally arranged in a layered manner, measuring the temperature change of the stratum, and calculating the thermal conductivity of the reservoir at different test points by adopting a corrected transient hot-wire method. The method can be used for in-situ determination of seabed natural gas hydrate reservoir thermal conductivity, is applied to natural gas hydrate resource evaluation and exploitation scheme design, and is simple and convenient to operate and accurate in test.

This invention relates to a method for measuring the stability margin of a constant-temperature hot-wire anemometer based on in-situ open-loop frequency characteristics, belonging to the field of fluid measurement and automatic control technology. The method disclosed in this invention includes the following steps: S1. Connecting an ultra-low frequency low-pass filter to the closed-loop circuit to form an in-situ open-loop system with a DC closed loop and an AC open loop; S2. Injecting a sweep frequency excitation signal E at the bias circuit. stimu And measure the output response E of the amplifier circuit. a By comparing the amplitude ratio and phase difference of the two, the open-loop frequency response G of the system under actual operating conditions of the hot wire is obtained. open (jω); S3. According to G open (jω) Obtain the phase margin of the system and determine its stability. This invention proposes a new method for measuring the stability margin of a constant-temperature hot-wire anemometer, transforming the complex system stability problem into a measurable and analyzable open-loop frequency characteristic stability margin problem, providing a direct and reliable engineering basis for the circuit design of constant-temperature hot-wire anemometers.

The invention relates to the technical field of semantic processing, in particular to a government affair service hotline platform data government and analysis method based on big data. The method comprises the following steps: firstly, acquiring communication phrases of historical call data, and screening emphasized phrases and possible appeal phrases from the communication phrases; further matching the emphasis phrases of different calls based on the similarity between the emphasis phrases in any two pieces of historical call data; further according to the consistency of the use differences among all the matched emphasized phrases, obtaining an objective consistency coefficient and classifying all the historical call data; and finally, in any kind of historical call data, according to the similarity between the possible appeal phrases, in combination with the distribution of the possible appeal phrases, screening out the appeal phrases and recording the appeal phrases as demand tags, thereby effectively solving the technical problems of inaccurate classification of user demand tags and large data mining deviation in the prior art.

The utility model relates to the field of wire harness connecting terminals, in particular to a single-end connection carbon fiber heating wire terminal, which comprises a wire fixing piece, a wire core fixing piece, a heat dissipation piece and a plug connector. The wire core fixing part is arranged between the wire fixing part and the heat dissipation part, the wire core fixing part, the wire fixing part and the heat dissipation part are connected to form a groove with an arc-shaped butt joint groove bottom, the wire fixing part comprises a first fixing part and a second fixing part, and the first fixing part and the second fixing part are both rectangular; the wire core fixing piece comprises a third fixing piece and a fourth fixing piece, the third fixing piece and the fourth fixing piece are rectangular, and the third fixing piece and the fourth fixing piece are symmetrically arranged according to the central axis of the groove; the heat dissipation pieces are arranged between the wire core fixing piece and the plug connector and comprise the first heat dissipation piece and the second heat dissipation piece, the first heat dissipation piece is of a groove-shaped structure with the central angle of the cross section smaller than 90 degrees, and the second heat dissipation piece is of a semicircular groove with the cross section in a semicircular tube shape; the plug connector is of a circular-tube-shaped structure. According to the structure, the high-temperature fusing phenomenon is greatly reduced, and the fault rate can be reduced.

The application provides a kind of intelligent government affair hotline mass appeal analysis, detection method, the method includes the following contents: pull daily work order data regularly;The work order content in work order data is vectorized coding;For vectorized work order data, using DBSCAN clustering algorithm, obtain classification cluster;Traversal classification cluster, utilize the address feature of classification cluster, complaint feature, with the data not included in any cluster, again using DBSCAN clustering algorithm expands classification cluster, for obtaining more accurate complaint quantity and complaint number information;Obtain the complaint summary of each classification cluster through large model;Data is written into data.The application can realize mass appeal detection considering semantics and spatial information, replace the redundancy, repetitive work of original manual statistics in an intelligent way, can effectively help to identify and integrate similar appeals, so as to improve the processing efficiency, optimize the service quality, quickly and efficiently provide daily mass event list.

1. Name of the product in this design: Graphical User Interface for Daily Supervision and Intelligent Analysis of Electronic Equipment via Market Supervision Hotline. 2. Purpose of this design: An electronic device. 3. The key design feature of this product is its graphical user interface. 4. The picture or photo that best illustrates the key design points: Design 1 front view. 5. Design 1 is designated as the basic design. 6. Purpose of the graphical user interface: To display complaint and reporting information from six dimensions. 7. Human-computer interaction method of graphical user interface: In the main view of Design 1, move the cursor to the upper left and click on each party involved in the litigation to enter the change state diagram of Design 1, which will display other dimension information mainly based on the relevant parties involved in the litigation. In the main view of Design 2, move the cursor to the lower middle and click on each area to enter the Design 2 change status diagram, which displays other dimension information based on the area.

The application discloses a new word and a first occurrence event recognition method and device, wherein the method comprises the following steps: obtaining hot-line work order text data according to a preset period, and preprocessing the hot-line work order text data to obtain a structured text stream; performing word segmentation and sliding window processing on the text stream to obtain an initial phrase candidate set; performing statistical access screening on the initial phrase candidate set, and performing alias merging on the candidate phrases passing the statistical access by using consistency rules of specified dimensions to obtain a word candidate set; updating a current space-time reference baseline based on the word candidate set, and recalculating historical full-amount data according to a specified fixed period to re-calibrate the space-time reference baseline; and determining whether there is a new word in the word candidate set and whether there is a first occurrence event based on the re-calibrated space-time reference baseline. Based on the unified space-time reference baseline, the new word and the first occurrence can be accurately and timely determined.

The embodiment of the utility model relates to a socket and electrical equipment. The socket comprises a shell, a cover plate, a contact pin, a circuit board, a heat conduction wire and a heat conduction piece, the shell is provided with an accommodating cavity and an opening communicated with the accommodating cavity, and the cover plate covers the opening; the circuit board is arranged in the accommodating cavity; the heat conduction piece is attached to the shell; the contact pin is provided with a first end and a second end which are oppositely arranged, the first end of the contact pin is electrically connected with the circuit board, and the second end of the contact pin penetrates through the cover plate; the heat conduction wire is connected with the first end of the contact pin and the heat conduction piece. Heat generated by the socket and the contact pins and heat generated by the circuit board during working can be transmitted to the heat conduction piece through the heat conduction wire and then transmitted to the shell for heat exchange with the outside, so that the internal temperature of the contact pins and the socket can be effectively reduced, the service life of the socket is prolonged, and the reliability of the socket is improved.

The present application relates to the technical field of semantic processing, in particular to a government service hotline platform data governance and analysis method based on big data. The present application first acquires communication phrases of historical call data, and screens out emphasized phrases and possible appeal phrases from the historical call data; further, in any two historical call data, the emphasized phrases of different calls are matched based on the similarity between the emphasized phrases; further, according to the consistency of the use difference between all matched emphasized phrases, a theme consistency coefficient is obtained and all historical call data are classified; finally, in any class of historical call data, according to the similarity between the possible appeal phrases, the distribution of the possible appeal phrases is combined, the appeal phrases are screened out and recorded as demand labels, effectively solving the technical problems of inaccurate user demand label classification and large data mining deviation in the prior art.

The invention relates to a measuring device (490) having a measuring bridge (400) and an electrical connection element (49) for a flow sensor. The flow sensor is configured for flow measurement according to the measurement principle of hot-wire wind speed measurement. A number of electrical contact devices (45, 46, 47), which are arranged on the carrier element (200) and have a common equipotential surface (22), are used to electrically contact the carrier element (44) and the resistance measuring probes C1 (55), W2 (66), W1 (77).

The invention provides an NTC heating wire and a preparation method thereof, and the NTC heating wire comprises a central tensile core, a heating core wire layer, a first insulation isolation layer, a main sensing layer, a second insulation isolation layer, a sentry sensing layer and an outer insulation protection layer which are coaxially arranged from inside to outside. The heating core wire layer is a metal resistance wire which is spirally wound on the outer surface of the central tensile core; each of the main sensing layer and the sentry sensing layer comprises a thermoplastic elastomer matrix and a conductive filler dispersed in the thermoplastic elastomer matrix, and at least two signal electrodes are arranged in each of the main sensing layer and the sentry sensing layer; the aging rate of the sentry sensing layer material is greater than that of the main sensing layer material. The NTC heating wire realizes self-monitoring of the aging state through an innovative dual-channel sensing structure and material design. The core of the sensor is that two sensing layers with similar characteristics and different aging rates are arranged, the main sensing layer is used for conventional temperature monitoring, the sentry sensing layer is designed to be a sacrificial layer, and the aging process of the sentry sensing layer is significantly faster than that of the main sensing layer.

A system is provided.SOLUTION: A system comprising: means for converting call content into text in real time; means for analyzing the call content converted into text using a generation model and detecting a suspicious conversation; and means for automatically reporting to a fraud report window when a suspicious conversation is detected.SELECTED DRAWING: Figure 1

The invention relates to the technical field of large model driving, in particular to a large model-based government affair hotline false statement and pinching fact malicious complaint identification method and system, and the method comprises the following steps: collecting historical complaint data and real-time complaint data of a government affair hotline, and carrying out the preprocessing and marking of a complaint text; selecting a pre-training large model, and finely adjusting the pre-training large model by using the marked data set; performing feature extraction on the complaint text by using the fine-tuned large model, and training a classification model by using the extracted features; the malicious complaint recognition method based on the large model has the beneficial effects that a large number of complaint texts can be quickly processed, and compared with a traditional manual auditing mode, the recognition efficiency is greatly improved, and the response time of complaint processing is shortened. The large model has strong language understanding and feature extraction capabilities, and semantic information and features in complaint texts can be accurately captured, so that malicious complaints such as false statement and pinching facts can be more accurately identified, and the misjudgment rate is reduced.

A hot line clamp for use in 15, 25 and 36 kV electrical power distribution networks is disclosed. The clamp includes an eyebolt receiver body configured to receive a cable or stirrup and a branch connection. In one embodiment, torque applied to a nut causes radial compression of a conductor against the body, distributing force uniformly. In another embodiment, torque applied to a screw produces axial compression, and the screw includes a fracture region that breaks at a predetermined torque threshold, indicating proper tightening and preventing over-torque. Both embodiments include a compression system that maintains electrical and mechanical integrity under thermal cycling.

The application discloses a matter type self-growth and self-evolution and classification method based on a large model, which comprises the following steps: externally connecting a matter type directory to a large language model and constructing corresponding matter classification prompt words; inputting government hotline work order texts and the matter classification prompt words into the fine-tuned large language model, referencing the matter type directory to output the matter types corresponding to the government hotline work order texts; and outputting the matter types output by the large language model as the classification results of the government hotline work order texts to be classified. The matter type directory needs to be updated based on the large language model on a regular basis. The application realizes the prediction of government hotline matter types by the large language model in combination with the matter classification prompt words, fine-tunes the large language model to make it more focused on the government hotline field, and realizes the self-growth and self-evolution of the matter types in the matter type directory by the large language model, so that the timeliness and accuracy of the prediction of government hotline matter types are improved.

The invention discloses a global dynamic measurement device and method for a flow field in a confined space of a turbomachine, and belongs to the technical field of internal flow testing of the turbomachine. A dynamic probe and a hot-wire probe are matched with a surface hot film measurement unit and an oil flow visual measurement unit to obtain the pressure and the flow direction of a main flow area between turbomachinery stages, the blade normal near-wall boundary layer speed, the blade surface quasi-wall surface shear force and an end wall near-boundary layer streamline topological structure; sweeping measurement in a limited blade channel section is realized through a displacement control mechanism, and a synchronous phase locking module and a multi-channel data acquisition and processing module which take a dynamic probe periodic pressure signal as a reference are adopted. After phase sensitive detection and low-pass filtering are carried out on hot line and hot film signals, high signal-to-noise ratio extraction and strict synchronization with a rotor phase are realized, spatial and temporal distribution of a turbomachinery boundary layer is reconstructed, boundary layer separation, reattachment and transition characteristics are identified, and global dynamic measurement of a flow field in a limited space is realized.

The invention provides a hotline-oriented work order full-process intelligent circulation system, and belongs to the crossing field of artificial intelligence and digital government affair technologies. According to the method, the whole process of a hotline work order is disassembled into sub-tasks which are cooperatively completed by six special intelligent agents, namely work order acceptance and semantic understanding, classification and routing, dispatching and scheduling, disposal execution, result checking and feedback, and citizen evaluation and data analysis. The intelligent agents communicate and cooperate based on an MCP protocol, a tool is called in a unified mode through an MCP server, a knowledge base is inquired, context is managed, and accurate understanding, efficient dispatching, closed-loop disposal and intelligent analysis of citizen appeals are achieved. The system effectively solves the problems of dependence on manpower, low efficiency, unsmooth circulation, difficulty in tracing and the like in traditional hotline work order processing, and realizes automation, intellectualization and collaboration of the whole process of work order processing.

1. Name of the product in this design: Graphical User Interface for Intelligent Analysis of Public Complaints by Market Supervision Hotline of Electronic Equipment. 2. Purpose of this design: An electronic device. 3. The key design feature of this product is its graphical user interface. 4. The picture or photo that best illustrates the key design points: Design 1 front view. 5. Design 1 is designated as the basic design. 6. Purpose of the graphical user interface: to analyze and display the overall situation and trends of market supervision complaints and reports. 7. Human-computer interaction method of graphical user interface: In the main view of Design 1, move the cursor to the number next to "Accepted Complaints (Ten Thousand)" on the left and hover it to enter the change status diagram of Design 1, which displays specific information such as the increase. In the main view of Design 2, move the cursor to the bottom right and select the year to display the changing trends of relevant annual demands. For example, selecting 2021 will take you to Design 2 Change Status Chart 1. Selecting 2022 in Design 2 Change Status Chart 1 will take you to Design 2 Change Status Chart 2. Selecting 2023 in Design 2 Change Status Chart 2 will take you to Design 2 Change Status Chart 3.

The invention discloses non-entity hotline appeal event argument extraction based on boundary enhancement, which specifically comprises the following steps of: firstly, constructing a model architecture taking BERT as a substrate, and enhancing context semantics and vocabulary features by adopting character-level embedding; secondly, a rotation position coding mechanism is innovatively introduced, a boundary sensing module fused with rotation position coding is designed, and the sensitivity of the model to an entity boundary is enhanced by utilizing explicit modeling of inter-word distance characteristics of a relative position matrix. And finally, aiming at a positive and negative sample and multi-class imbalance problem, designing a layered focus loss function, and effectively solving the class imbalance problem through a learning weight optimization argument classification task of a dynamic weight adjustment difficult sample and a low-frequency class. Experimental verification shows that compared with a traditional deep learning method, the method has remarkable boundary recognition precision improvement and overall performance advantages.

The application relates to the technical field of airborne atmospheric detection, in particular to an airborne cloud water content detection device and method. The device comprises a single-chip microcomputer, a power adjusting circuit, a hot-wire resistance, a signal sampling circuit, a low-pass filter circuit, a temperature sensor and a temperature contrast conversion circuit. The input of the signal sampling circuit is the voltage and current signals output by the hot-wire resistance, which are processed and output to the low-pass filter circuit to generate an analog signal input to the single-chip microcomputer by using the low-pass filter. The temperature contrast conversion circuit obtains a first temperature value based on the resistance value of the temperature sensor and sends the first temperature value to the single-chip microcomputer. The single-chip microcomputer adjusts the power adjusting circuit based on the temperature change value, so that the change value of the ambient temperature of the hot-wire resistance adjacent area is between a first threshold value and a second threshold value. The application controls the heat loss of the hot-wire resistance in a very small range, plays a role in improving reliable static detection, and achieves the real-time and accuracy of cloud water content detection.

The invention provides a test system and method for simulating turbulence and sonic boom interference based on a small shock tube, and belongs to the technical field of sonic boom ground simulation tests. The objective of the invention is to solve the problem that a simulation result is deviated from reality due to the fact that an acoustic explosion model does not simulate an atmospheric turbulence environment in the prior art. A high-voltage system, a high-voltage driving section, a double-film section, a low-voltage driven section and a vacuum system are connected in sequence, and a speed measurement piezoelectric sensor is installed on the side wall of the low-voltage driven section; the grid turbulence disturber is arranged on the side wall of the low-pressure driven section; the turbulence control system is connected with the grid turbulence disturber; the hot-wire probe is arranged at the front end of the hot-wire anemometer and is arranged on the side wall of the low-voltage driven section; the test board is provided with a PSP coating, and the test board, the schlieren high-speed camera and the PSP high-speed camera are all mounted on the side wall of the low-voltage driven section; the test board is provided with a high-frequency pressure sensor. The problem that in the prior art, a sound explosion model does not simulate the atmospheric turbulence environment, and consequently the simulation result deviates from the reality is solved.

The application discloses a power turbulent flow measuring method, which adopts a hot-wire anemometer with two hot-wire probes to measure wind speeds of two points in space; then sets a sampling frequency fc, a statistical average time ts and a space length r of the hot-wire anemometer; obtains voltage data output by the hot-wire anemometer and discriminates whether the voltage data is normal or not, and eliminates abnormal data; obtains corrected voltage data; calculates a wind speed u according to the corrected voltage data; determines a time interval td according to the pre-set sampling frequency fc, and calculates a second-order and third-order turbulent flow dissipation rate by combining the wind speed measured by the two hot-wire probes; and sequentially calculates a kinematic viscosity coefficient v2 of an in-situ measurement position, an internal scale l0 of atmospheric turbulent flow and a turbulent degree I. The power turbulent flow measuring method overcomes the shortcomings that a temperature fluctuation instrument cannot measure power turbulent flow and an ultrasonic wind speed meter platform has poor applicability, and has the advantages of simple operation, applicability to severe environments, and high-altitude turbulent flow measurement by being carried on a sounding balloon.