127results about How to "Improve digitization" patented technology

The invention discloses a container crane sling aligning guide system which greatly facilitates a driver's remote container aligning work, improves the degrees of the numeralization, informatization and intelligentialization of a crane, and has great application expansibility. The container crane sling aligning guide system adopts a technical scheme as follows: through an image processing technique and a position data fitting technique as well as a 'frame aligning' method, the original sling image viewed by a remote driver performing the remote container aligning work is processed and converted into a target frame and a present sling frame comparison display manner, and work data instruction is accompanied, and the sling falls into the target frame, and accordingly, the successful container aligning is shown.

The invention discloses an underground pipeline intelligent detection robot and an underground pipeline intelligent detection method. The underground pipeline intelligent detection robot comprises a mobile robot main body and a plurality of sensors. The underground pipeline intelligent detection method disclosed by the invention comprises the steps of: firstly calibrating relative positions and posture information between the sensors and the sensors and between the sensors and the mobile robot main body; then causing the mobile robot main body to move autonomously in a pipeline space, and obtaining, by the sensors, data in real time; calculating a precise position of the mobile robot main body in a data collection movement process; calculating data spatial positions of the sensors according to the position of the mobile robot main body and the relative positions and posture information of the sensors, and registering and fusing the data of different sensors to obtain fused multi-sourcespace data of the pipeline space; and finally intelligently identifying and extracting a geometrical shape and attribute status information of a pipeline from the fused multi-source sensor data, andmarking spatial positions for these information. The underground pipeline intelligent detection robot disclosed by the invention realizes automatic collection of underground pipeline status detectiondata and intelligent identification and extraction process of pipeline status information.

The invention discloses a health information system, which comprises a health information acquiring module used for acquiring health information and a storage control module used for storing the health information to a local or non-local storage. The invention also discloses a corresponding health information management method, a communication device comprising the health information system, a medicament infusion device, test equipment and an ancillary reagent carrier. The health information system can be used to improve the digitization and the standardization of the health information and automatically acquire the health information to help a user analyze the state of illness of a patient conveniently, quickly and accurately.

The invention relates to an urban waterlogging monitoring and pre-warning system and pre-warning method. The urban waterlogging monitoring and pre-warning system comprises a processing unit, a surfacerunoff water depth monitoring unit, an underground drainage network monitoring unit, a meteorological information monitoring unit, a rainfall monitoring unit, a communication unit and a drainage unit, wherein the surface runoff water depth monitoring unit is electrically connected with the processing unit; and the processing unit is suitable for judging the urban waterlogging condition accordingto the actual surface runoff flow of various monitoring points, an excess surface water depth, an underground drainage network drainage state, weather information and rainfall, and uploading the urbanwaterlogging condition to a server through the communication unit in real time, and controlling the drainage unit to drain water when the processing unit judges urban waterlogging. According to the urban waterlogging monitoring and pre-warning system and the pre-warning method, analysis and statistics are carried out by comprehensively transmitting and processing monitoring data and combining bigdata with deep learning artificial intelligence, early prewarning information is issued, processing planning measures are generated in advance and intelligent control is implemented on electrical equipment at various sites.

The invention provides a digital dynamic calibration system for an electric vortex sensor, which is for calibrating dynamically an electric vortex sensor, and is essentially comprises a hi-speed motor, a magnetic bearing system, a dynamic calibrating disc, an A / D conversion chip, a FPGA chip, a USB bus and an up-level unit. The magnetic bearing system, in conjunction with the hi-speed motor, drives the dynamic calibrating disc to rotate at high speed, generate hi-frequency excitation signals to be input to the sensor to be measured. A photoelectric sensor senses the reference position on the dynamic calibrating disc, generates a reference pulse signal for triggering the A / D conversion chip controlled by the FPGA chip to carry out data sampling of the output signals from the sensor, which first go through A / D conversion by the A / D conversion chip, then are sent into the FPGA chip for data acquisition and processing, sent to the up-level unit through the USB bus; finally the indexes on the dynamic frequency of the electric vortex sensor are got. The invention is especially applicable for the dynamic calibration of the electric vortex sensors used in maglev systems.

The invention discloses a cylindrical cabin section flexible docking device control system and method. The method comprises the following steps: to begin with, determining cylindrical cabin flexible docking assembling process model, configuring assembly parameter, and carrying out self-detection and initialization to enable each assembly mechanism to move to a preset position; placing a first cabin section on a static bench support ring frame; placing a cabin section to be assembled on a movable bench support ring frame; starting an automatic alignment device, and adjusting pose of the cabin section to be assembled on a movable bench to enable the cabin section to be assembled and the assembled cabin section on a static bench to reach a preassembly state; observing whether the cabin sections are convenient to assemble, and if not, carrying out fine tuning manually until the cabin sections are convenient to assemble; carrying out flexible docking assembling; dragging the docking-assembling-finished part by a cabin traction motor to move along the cabin axial direction to the static bench; and judging whether all cabin sections finish assembling. The cylindrical cabin section flexible docking device control system and method solve the problems that in the existing assembling process, labor intensity of workers is large, automation degree of equipment is low and assembly is done fully depending on experience of the workers, and realize flexible tool automation.

The disclosed interferometer includes a laser, a beam expanding mechanism, a shearing mirror, a driving mechanism for shearing mirror, a polarization piece, a digitalized imaging device and a computer. The shearing mirror can be replaced by large or small shearing mirror. The driving mechanism for shearing mirror includes a horizontal displacement unit and a vertical displacement unit. Stepper motors drive the shearing mirror and the polarization piece to be moved along direction parallel and perpendicular to reflected beam. Rotation of stepper motor is controlled by pulse output from computer. The invention realizes integration of large and small electronic speckle interferometers, and possesses advantages of automatic space-time phase shift, high sensitivity, and digitization.

The invention discloses a detecting identifying and positioning method for fire-fighting water pipe network leakage, and belongs to the field of fire safety. The method includes the steps of (1) multiple sets of vibrating sensors collect fire-fighting water pipe network acoustic emission signals synchronously; (2) a correlation matrix is established through synchronizing signals, whether leakage occurs or not is judged, and leaking pipelines are identified if the leakage occurs; (3) data detected by the sensors in the direction of the leaking pipelines are extracted; (4) EEMD and energy feature extraction decomposition are carried out to obtain an IMF containing leakage source information; (5) cross-correlation analysis is carried out on multiple sets of IMF data to obtain a time difference, and positions of leakage points are calculated; (6) the positions of multiple sets of leakage points are weighted to obtain finial positions of the leakage points. According to the method, the problem that extinguishment water pressure or flow is insufficient due to fire-fighting water pipe network leakage is solved, and a fire-fighting water pipe network can be really used when needed.

The invention discloses an unmanned aerial vehicle mechanical arm-based crane metal structure detection device and method and belongs to the field of crane metal structure damage recognition. The device comprises an unmanned aerial vehicle main body, a ground treatment device, a mechanical arm, a non-destructive detection device and a camera. The unmanned aerial vehicle main body is used for carrying the mechanical arm and the non-destructive detection device. A non-destructive detection probe carried by the mechanical arm above the unmanned aerial vehicle main body contacts with the metal structure surface and acquires a defect characteristic signal, the defect characteristic signal is transmitted to the non-destructive detection device main body through a cable and then is transmitted to the ground treatment device through a wireless communication link, the ground treatment device carries out time-domain and frequency-domain analysis and constructs defect signal identification feature vectors, and an Euclidean distance of the feature vector between the signal to be detected and a known defect signal is calculated to determine a degree of approximation so that a signal defect type is identified. The device and method realize automatic detection and identification of defect features such as cracks, corrosion and holes on the metal structure surface and subsurface.

The invention relates to the field of tunnel intelligent firefighting, and provides a device based on BIM technology and method for tunnel mobile type partition intelligent firefighting. The device comprises a mobile control module, an automated sprayer module connected with the mobile control module, a lighting and monitoring camera module, a smoke and fire detector module; the device further comprises a scalable pipe line, a pressure device, a firefighting water supply point, a wireless communication module, a BIM intelligent firefighting work platform, a working track and a maintenance track. The scalable pipe line is connected with the automated sprayer module and the pressure device correspondingly. The pressure device is connected with the firefighting water supply point. The mobile control module operates on the working track and the maintenance track. The mobile control module and the wireless communication module are connected by adopting a wireless transmission. The wireless communication module and the BIM intelligent firefighting work platform are connected to form tunnel mobile type partition intelligent firefighting work closing loop. According to the device based on BIM technology and method for tunnel mobile type partition intelligent firefighting tunnel fire condition can be found timely, fire dynamic information can be grasped in real time, and the fire can be extinguished automatically.

The invention discloses a weighing abnormality alarming system. The weighing abnormality alarming system comprises a data acquisition module, a data storage module, a data calculation module, a service management module, a network interface module and an auxiliary module; the data acquisition module is used for acquiring weighing sensor data and weighing equipment operation parameters; the data storage module is used for recording, classifying and storing the data; a weighing abnormality diagnosis method is pre-stored in the data calculation module, and the data calculation module is used foranalyzing the weighing sensor data and the weighing equipment operation parameters in real time and conducting weighing abnormality fault alarming and early warning on weighing equipment; the servicemanagement module is used for weighing abnormality alarming management and operation log inquiry; the network interface module is used for transmitting weighing state information to upper-stage equipment; and the auxiliary module is used for providing a power supply and man-machine interaction basic parts for the above-mentioned modules. According to the weighing abnormality alarming system, the working state of a weighter can be monitored on line, fault prediction can be conducted on line, and the measuring precision of the weighter and the equipment operation reliability are guaranteed.

The invention discloses an information integration system and a method based on OPC UA, wherein, the method comprises the following steps: each PLC controller obtains and stores the state informationand control information of the production equipment, and sends the obtained information to the OPC UA server; the OPC UA server sends the obtained information to the OPC UA server. The OPC UA server stores the received information in a preset manner. The workshop control layer communicates with the OPC UA server according to the OPC UA communication standard, and reads and stores the information in the OPC UA server to realize the information integration of the equipment layer. The invention stores the information of each PLC device by an OPC UA server. The workshop control layer adopts OPC UAstandard to access the OPC UA server, thus effectively realizing the information integration of multi-heterogeneous equipment, accelerating the digital and intelligent development process of factorymanagement and control, which can be widely used in the field of information integration technology.

The invention discloses a high-flux greenhouse plant phenotype measurement system based on Kinect autonomous calibration. A manner of combining a Kinect camera and a precision rotary platform is adopted to realize multi-view-angle RGBD image acquisition; a multi-view-angle three-dimensional point cloud uniform coordinate system is realized through a Kinect camera by adopting an autonomous calibration manner; a foundation is laid for accurate reconstruction of a three-dimensional point cloud model of plants, and the integrated level and the automation level of an existing measurement system areextremely improved. In an imaging system, a two-axis sliding rail and a laser distance measuring sensor are combined to realize accurate control on postures of the imaging system, so that the imagingsystem can be used for phenotype measurement of the plants in a full growth period. By adopting the measurement system disclosed by the invention, efficient, accurate and reliable detection problemsof greenhouse plant phenotypes are solved; the measurement efficiency, precision and applicability of the greenhouse plant phenotypes are improved, so that the system has important meaning on promotion of information-based, digital, accurate and intelligent management of installation horticulture of China.

The invention provides a novel sample preparation system for carbon and oxygen isotopes of carbonate and a sample preparation method thereof. The sample preparation system comprises an original sample reaction device, a finished sample extraction device and a system vacuum degree controlling device, wherein the original sample reaction device is connected with an autoinjection device. The sample preparation system employs the autoinjection device, so the automation degree of the sample preparation system is increased, and it is guaranteed that all the saturated phosphoric acid solution enters the bottom of a reaction tube and participates in a reaction; a touch button type vacuum valve is used to replace a conventional turn button type vacuum valve, so service life is prolonged, simplicity of usage of devices is improved, and operation time is shortened in preparation; and a constant temperature water-bath is added, vacuum-pumping and reaction can be completed in the devices in the same time, so a transfer step between vacuum-pumping and sample reaction is reduced. Moreover, the invention provides the sample preparation method of the novel sample preparation system. According to the invention, accuracy and the automation degree in preparation of a test sample are effectively improved, and standardized operational process is formed.

The invention provides a method for docking an object to be measured. The method comprises the steps that i, distribution of measurement points on the object to be measured is determined, and a measuring coordinate system related to a measuring spot is constructed based on the actual measurement positional values and the theoretical positional values of the measurement points; ii, the transformational relation between the measuring coordinate system and the design coordinate system of the object to be measured is constructed; iii, the position information of a pose measuring point and the position information of a drive measurement point are acquired, and the target coordinates to which an actuator corresponding to the drive measurement point is to move is determined based on the transformational relation; and iv, the actuator is driven based on the target coordinates. According to the method, measurement data and the theoretical data of a design model are comprehensively processed, and the digitization, flexibility and automation level of plane docking is improved. According to the technical scheme, the automation level of plane docking can be improved.

The invention provides a standard view modelling method based on an architecture framework. The method comprises the following steps of step 1.breaking equipment development demand indexes one by one according to equipment development performance and technical requirement indexes, which are provided by a user, associating with system functions to establish an association formed by the system functions and a system, and carrying out system view construction; step 2.analyzing the existing standards to which the system composition conforms and the lacunary standards compiled by the system composition according to a DoDAF architecture framework and combination with a product breakdown structure PBS of equipment and carrying out standard view modelling including a standard configuration model StdV-1 and a standard prediction model StdV-2; and step 3.setting a standard view application process of whole lifecycle of equipment development, clearly designing and manufacturing standardized and professional standard view modelling process, transforming the standard view modelling process into an executable dynamic model to carry out analogue simulation and verifying a support action of the standard view model on equipment development.

The invention discloses a comprehensive editing platform which comprises a client and a server, wherein the client comprises a third-party application program, a cloud disk file system, a communication module and a Shell command parser; and the server comprises a media resource management system, a cloud disk server and a synchronous module used for realizing synchronization between the media assess management system and the cloud disk server. According to the comprehensive editing platform, the chaotic situation that media resources of a television station are divided and are lack of coordination is broken through, a centralized resource unified allocation system is built, the problem that the scale of the system cannot be expanded and changed rapidly is resolved, and sharing of all resources is achieved comprehensively; scale procedures of the television station are improved, and working efficiency and product quality of the whole television station are enhanced; and fundamental transformation of televisions from traditional media to modern media is achieved, digitization of the television station is accelerated, sharing of information and the resources is achieved, cooperative work capability of the resources of the whole television station is improved, and programming cost and later maintenance cost are lowered.

The invention provides a monitoring method and device of cow ingestion behaviors and ingestion amount. The method includes: based on a first preset neural network and according to acceleration information of the cow ingestion behaviors, determining categories of corresponding ingestion behaviors to be a food rolling state or chewing state of ingestion or a non-ingestion state; in a preset time period, acquiring time of duration for ingestion respectively according to time of duration of the food rolling state and the chewing state; based on a second preset neural network and according to the acceleration information acquired after classifying on the basis of the first preset neutral network, acquiring an ingestion rate estimated value; according to the time of duration for ingestion and the ingestion rate estimated value in a preset time period, acquiring individual ingestion amount of cows. By the method, automatic monitoring of the cow ingestion behaviors and the individual ingestionamount in the process of cow breeding is realized, building of an Internet of Things data platform based on the cow ingestion behaviors and the ingestion amount is facilitated, remote transmission, analysis and management of data are realized, and digitalization and intelligentization levels of precise feeding of the cows are elevated.

The invention discloses a mathematical modeling method based on G codes and an application. The mathematical modeling method actually comprises the following steps: importing the G codes of numericalcontrol machining into preset software, generating a tool path by utilizing the G code, and sweeping and cutting off a blank along the tool path by a tool so as to form a three-dimensional process intermediate model consistent with an actual machining process, wherein the three-dimensional process intermediate model is a three-dimensional mathematical entity model established on the basis of mathematical Boolean differencing operation, the same G codes are used for parametric modeling and also used for machine tool production and machining, and the uniformity, uniqueness and integrity of the model are ensured by utilizing data homology. According to the method and the application provided by the invention, existing processing programming software is utilized, modeling is carried out through G codes in a 3D environment, the bottleneck of three-dimensional digital design and manufacturing is solved by rapidly creating an intermediate model, a technical support is provided for datamationand intellectualization of a process platform, the compiling quality and efficiency of the process can be improved, and the method is good in universality and suitable for application and popularization.

A radiation image read out from a radiation image sensor, which stores electric charges corresponding to the amount of radiation exposed onto the radiation image sensor upon exposure of radiation carrying thereon a radiation image and stores the radiation image, by causing the radiation image sensor to output an electric signal corresponding to the stored electric charges and by amplifying the output electric signal by a reading amplifier. A part of the stored electric charges are read before reading the radiation image and, the gain of the reading amplifier is changed on the basis of the amount of electric charges of the part of the stored electric charges which has been read before reading the radiation image.

The invention provides an intelligent height and weight measuring system and method. The system comprises a CPU control module, an identity recognition module, a communication module and a detection module. The identity recognition module is used for performing identity recognition of the person to be measured and judging whether the person to be measured exists in an identity ID library. If the judgment result is yes, the corresponding identity ID of the person to be measured is transmitted to the CPU control module, or a new identity ID is correspondingly generated and stored in the identityID library and then transmitted to the CPU control module. The detection module is used for measuring the attitude of the person to be measured. If the standing posture of the person to be measured meets the preset requirements, the height and the weight of the person to be measured are measured, and the measurement data of the obtained height and weight data are generated and then transmitted tothe CPU control module. The CPU control module generates the measurement result according to the received identity ID and the measurement data and stores or reports the measurement result through thecommunication module. The intelligent level of the equipment can be enhanced.

The invention aims to provide a suspension type high-throughput greenhouse plant phenotypic measuring system. The measuring system is arranged on a suspension type support, and the suspension type support can realize tri-axis movement to satisfy the whole-growth-cycle plant phenotypic in-situ measurement requirement. The measuring system is mainly formed by three TOF cameras for respectively acquiring RGB-D images in various perspectives, and a depth map is converted to a three-dimensional point cloud map through internal parameters of the TOF cameras. Through checkerboard calibration, a rotation matrix and a translation matrix of three perspectives are obtained, a reference perspective is selected, coordinate transformation of three-dimensional point clouds of other two perspectives is performed, a unified coordinate system of the three-dimensional point clouds of three perspectives is realized, an iterative closest point (ICP) method is performed for accurate registration, and accurate reconstruction of a greenhouse plant three-dimensional point cloud model is realized. According to the high-throughput greenhouse plant phenotypic in-situ measuring system, the precision is high, the speed is fast, and the adaptability is high.

The invention discloses a virtual reality-based traffic police gesture training system. The virtual reality-based traffic police gesture training system includes somatosensory equipment and a display terminal which is connected with the somatosensory equipment; the somatosensory equipment is used for collecting gestures; the display terminal is used for displaying 3D virtual features of trainees and displaying operation gestures of the trainees in real time; gesture training software operates on the somatosensory equipment; and the somatosensory equipment is used for judging gesture errors and performing prompting. With the virtual reality-based traffic police gesture training system of the invention adopted, digitization, standardization and standardization of the gestures of traffic police can be improved through a high-tech means, and at the same time, human factors in an examination process can be greatly decreased, and the image of a traffic law enforcement department can be effectively enhanced.

The invention relates to a mixed gas supply type visual natural gas hydrate experiment system which mainly comprises a single-component gas cylinder, a data collector, a computer, a gas flowmeter, a gas booster pump, a vacuum pump, a control cabinet, a gas distribution tank, a liquid adding barrel, an injection pump, a high-pressure reaction kettle, a circulating water bath box, a pressure regulating valve, various sensors and pipeline matching valves. The system can be divided into a mixed gas supply unit, a vacuumizing unit, a data acquisition and automatic control unit and a hydrate experiment unit. The mixed gas supply unit is used for preparing multi-component high-pressure mixed gas; the vacuumizing unit is used for vacuumizing the system; the data acquisition and automatic control unit is used for monitoring parameters of each sensor in real time and remotely controlling the pump and the stirrer; the hydrate experiment unit is used for conducting hydrate experiments. According to the invention, the functions of multi-component gas input, hydrate generation visualization, gas or liquid experimental material sampling and the like can be realized, and various natural gas hydrate experiments can be carried out.

The invention discloses a coal yield monitoring method based on image analysis. The method utilizes a rectangular frame installed on the handpiece of a coal mine main shaft belt conveyor in advance asa reference and comprises the following steps that: firstly, labeling the installed rectangular frame in a collected surveillance image; then, taking the left lower corner of the labeled rectangle asan original point (0,0) to establish an image pixel coordinate system; then, utilizing an edge detection algorithm to label the edge curve of a coal accumulation shape on the handpiece belt; then, calculating a percentage of an area surrounded by the edge curve and the lateral coordinate axis of the coordinate system and the area of the labeled rectangle; then, according to parameters including the frame number of the surveillance image, belt operation speed and the like, calculating the volume and the quality of a coal quantity which passes through the handpiece in unit time; and finally, obtaining the mass of the coal quantity which passes through the handpiece in certain time.

The invention provides a digital intelligent laying method and system for a composite material. The method comprises the steps that a laying path is set; a fiber laying process parameter model based on imitation learning is constructed, and process parameters under an actual laying path are obtained according to the laying path and the surface shape of a forming component; tracks of cooperative mechanical arms and a multi-degree-of-freedom motion platform of an automatic fiber laying subsystem are planned under the given laying path and process parameter conditions; under the condition of theobtained tracks of the cooperative mechanical arms and the multi-degree-of-freedom motion platform, the automatic fiber laying subsystem and an intelligent regional temperature control mold are controlled for laying; and in the laying process, laser ultrasonic nondestructive testing is adopted to guide laying of the composite material, including rapid detection and imaging of intra-layer defects in the automatic laying process of the composite material and real-time adjustment of the laying process parameters according to inter-layer defects. The laying method and system are high in practicability and high in digitization and intelligence degree, and the precision of the laying implementation result can be remarkably improved.

The invention relates to a human body size estimation method based on a radial basis function neural network. The human body size estimation method comprises the following steps: collecting static human body net body data; preprocessing the collected human body net body data, and constructing a human body database; constructing a radial basis function neural network model of human body size estimation, an input layer of the radial basis function neural network model being a key part size which is easy to measure, and an output layer being a detail size which is not easy to measure; dividing the data in the human body database into a training sample set and a test sample set, training the radial basis function neural network by using the training sample set, randomly selecting a plurality of samples from the test sample set for simulation test after the training is completed, and estimating the detail size which is not easy to measure by the human body. The method can quickly and effectively calculate the size of the human body required by the garment making plate.

Disclosed is a generating set control management monitoring method. The method comprises the following steps: first of all, performing equipment energized self-check, and initializing a host, each circuit, an arithmetic unit and a memory; the host giving a power supply instrument, selecting a power supply mode, switching to commercial power supply or starting a generating set for power supply; starting a monitoring mode, and acquiring main operation parameters when the generating set is under an operation condition; conditioning and then packaging acquired data, and uploading the data to the host through a CAN bus; and the host forming a fault type according to a built-in strategy, confirming that a fault occurs according to a corresponding threshold, outputting corresponding control signals through the built-in CAN bus and controlling a corresponding execution mechanism of the generating set to act correspondingly. According to the invention, through combination of management unit hardware and software, operation state information of the generating set is acquired, through parameter determination, such faults as super-voltage, overvoltage, under-voltage, super-frequency, over-frequency, under-frequency, over-current, high oil temperature, low oil temperature and the like are determined, and feedback signals are formed for controlling subsequent processing measures.

The invention provides a TL494 pulse width modulation chip-based single-chip microprocessor control technology charger. The charger comprises a TL494 chip control module 1, a power switch tube module 2, a main output circuit module 3, an output switch device module 4, an MCU (Micro Control Unit) detection and control circuit module 5, a constant voltage constant current circuit module 6 and an auxiliary power module 7. Since an analog-digital control mode is adopted, intervention and digital control are performed on a main system of the charger by the MCU detection and control module 5, various functions such as multi-section constant voltage, constant current, detection output and variable frequency output can be realized through programming, and further the digitalization and the intelligence of the charger are improved, the functions of the charger are further perfected, and good extensibility is realized.

The invention relates to a broiling physical therapy appliance which aims at solving the technical problem that temperature is difficult to control as drilled wood becomes red and cannot be heated uniformly. The appliance comprises a shell in which a control module is arranged, and a heating module, a display module, a driver module, a temperature detection module and a power supply module which are connected with the control module; the control module is used for presetting temperature and controlling the heating module according to preset temperature; a heat conduction mechanism for contacting with a human body is arranged at the heating module; the power supply module is further connected with the heating module, and used for supplying power for the broiling physical therapy appliance;the driver module is used for controlling the voltage of a heating piece; the temperature detection module is used for detecting the real-time temperature of the heating module and feeds the temperature back to the control module; and the technical scheme that the display module is used for displaying the preset temperature and real-time temperature solves the problem relatively well, and the broiling physical therapy appliance can be applied to the broiling physical therapy in traditional Chinese medicine.