105results about How to "Precise maintenance" patented technology

The invention relates to the technical field of geotechnical engineering, in particular to a bedding side slope stability judgment method and system, and the method comprises the following steps: scanning a target bedding side slope by using an ultrasonic sensor based on the position information of the bedding side slope, recording a three-dimensional geological structure image of the side slope, detecting the positions of cracks and cavities, and generating a bedding side slope structure image. According to the method, an ultrasonic sensor is used for scanning a slope, internal cracks and cavities are recognized, stability problems are found in the early stage, side slope rock and soil characteristics are recognized in combination with physical and chemical attribute measurement, a three-dimensional geologic model is constructed through terrain scanning, and interaction between soil particles and rocks in multiple scenes is simulated; according to the method, the behaviors of the slope under various natural and artificial conditions are analyzed, the instability behavior of the slope is identified, the influence of various factors on the stability of the slope is evaluated, the ability of taking precautionary measures for various risk factors is enhanced, and a decision maker is helped to make accurate maintenance and intervention decisions.

The invention discloses a battery health degree evaluation method and device based on meta-learning. According to the method, the real-time battery data is input into the feature extraction network constructed by the neural network and the meta-learning algorithm to extract key features, and then the features are sent into the battery health assessment network based on the meta-learning algorithm and the attention mechanism, so that the health state of the battery is assessed. Meanwhile, parameters of a battery evaluation network are optimized by using a meta-learning algorithm, and an evaluation strategy is adjusted in real time to adapt to the change of battery performance, so that comprehensive evaluation of the battery health degree is realized, and the problem that the battery health degree cannot be comprehensively evaluated in the prior art is solved.

The utility model belongs to the technical field of heat exchange, and particularly relates to novel heat exchange equipment in a blast furnace gas ammonia synthesis process, which comprises a base, a machine body fixedly connected to the top of the base, and a supporting plate welded to an inner cavity of the machine body; the exchange pipe is fixedly connected with a flange; the bracket structure comprises a supporting rod fixedly connected to the top of the base, the outer ring of the supporting rod is fixedly connected with a spring support, and the outer end of the spring support is connected with a temperature measuring assembly. The temperature in each section of the exchange tube can be detected through the temperature measuring assembly, whether the exchange tube is blocked or not is judged according to the temperature, and through the modularized exchange tube, the area where problems occur can be conveniently and accurately disassembled.

The invention discloses a logging optical cable detection and evaluation method, system and device based on the Internet of Things, and relates to the technical field of artificial intelligence, and the method comprises the steps: collecting data in real time through the deployment of an Internet of Things sensor, and achieving the efficient transmission and preprocessing of data through the combination of a low-power wide area network technology; a deep learning model is utilized to accurately evaluate the health state of the optical cable, an unsupervised learning technology is utilized to automatically identify an abnormal signal, and finally, a maintenance strategy is intelligently recommended based on an abnormal signal detection result to realize optimal distribution of maintenance resources. The method has significant advantages in the aspects of abnormal signal identification and intelligent maintenance strategy recommendation, can significantly improve the accuracy and efficiency of optical cable detection and evaluation, reduces the maintenance cost, and has important practical value and wide application prospects.

The invention provides a device networking method and system based on an IPv6 protocol, and the method comprises the steps: reading a sequence number in a unique identifier of a device when the device is registered, combining the sequence number with bytes generated by a random number generator to generate a network card identifier and a local link address, triggering a multicast neighbor request, splicing the multicast neighbor request with a router IPv6 network address prefix to form a device IPv6 address, and transmitting the IPv6 address to the device; registering identifier information to the system, and setting the object to complete registration; during IPv6 network address change monitoring of the equipment, an ICMP6 protocol routing announcement is intercepted, and when a router network prefix is changed, a new prefix and a network card identifier are used for regenerating and re-registering an IPv6 address; in the aspect of system functions, registration information is received, related contents are registered, parameters are set remotely, user and equipment management is carried out, and equipment management covers multiple functions such as software remote online upgrading; address management can be simplified, the use threshold and cost are reduced, the equipment management function is enhanced, the dynamic address processing efficiency is improved, and the defects in the prior art are overcome.

The invention relates to a DRX timer maintenance method, equipment, a device and a storage medium. The method comprises the following steps: if multiple sets of discontinuous reception (DRX) configurations exist for a first target object, determining the length of each DRX timer corresponding to a hybrid automatic repeat request (HARQ) process based on a preset rule; by adopting the method, the DRX timer can be maintained.

The invention discloses a server test environment guarantee method and system based on dynamic simulation, a storage medium and computer equipment. The method comprises the steps that the air inlet temperature, real-time power consumption and heat dissipation strategy signals of a tested server and the actual environment temperature of an incubator are collected in real time; dynamically setting the temperature of the air inlet of the tested server as the target environment temperature of the incubator, and calculating the real-time temperature deviation between the actual environment temperature and the target environment temperature; if the real-time temperature deviation exceeds a preset threshold value, a dynamic PID control algorithm is triggered, a basic control quantity is obtained through calculation according to the real-time temperature deviation through the dynamic PID control algorithm, a dynamic compensation quantity is obtained through calculation according to the target environment temperature, the real-time power consumption and the heat dissipation strategy signal, and the heat dissipation strategy signal is obtained based on the basic control quantity and the dynamic compensation quantity. Generating a temperature control instruction of the incubator; according to the temperature control instruction, a refrigerating or heating device of the incubator is dynamically adjusted so as to guarantee the test environment of the tested server.

The invention, which relates to the technical field of the motor, discloses a small-space modularized motor deceleration assembly comprising a cavity shell, an insertion shell, two deceleration shells, a driving shell and a transverse offset sensing mechanism. Wherein the transverse deviation sensing mechanism comprises a concave block, a supporting column, a sensing sleeve strip, a friction roller, a supporting shaft, a shaft sleeve and a reinforcing block, the other side of the sensing sleeve strip is connected with a connecting roller in a rolling mode, and the inner wall of the connecting roller is fixedly connected with a linkage shaft; a longitudinal offset sensing mechanism is arranged on one side of the reinforcing block; a speed reduction deviation sensing assembly is arranged in the speed reduction shell. According to the invention, through the transverse offset sensing mechanism, maintenance can be carried out in time and normal use can be rapidly recovered, so that self-inspection maintenance of the modular motor speed reduction assembly is more timely, and the problems that use loosening of the modular motor speed reduction assembly is difficult to know in time and maintenance timeliness of the modular motor speed reduction assembly is poor are solved.

The invention relates to the technical field of power plant equipment management, and particularly discloses an intelligent power plant equipment management system, and the system specifically comprises an equipment data collection and judgment module which collects the real-time voltage of equipment in a power plant, judges whether the voltage of the equipment is abnormal or not, and generates a voltage abnormal signal; the abnormal data calculation and processing module is used for acquiring a corresponding time unit based on the generated voltage abnormal signal, performing data processing and calculating an abnormal time characterization value; and the abnormity judgment module is used for comparing the abnormal time characterization value with an abnormal time characterization threshold value and judging the severity of the voltage abnormity in the abnormal time unit. Therefore, by monitoring the voltage of the equipment and performing abnormity judgment, abnormity of the equipment can be known and found in time, and further analysis is performed based on the abnormal time, so that the severity of a fault of the equipment can be assessed, and which level of countermeasures can be taken can be determined in an assisted manner; and the maintenance strategy can be optimized.

The invention discloses a BP-based cement concrete pavement void range identification method, and relates to the technical field of traffic transportation engineering. According to the method, the finite element fluid-solid coupling simulation model of the cement pavement void damage is constructed, so that the internal mechanism that the development of the void damage is influenced by traffic load and water flow scouring is disclosed; the internal temperature field of the full-scale test pavement is monitored in real time, and a cement pavement dynamic response forward modeling analysis model considering the temperature influence and a void range identification method based on a BP neural network are constructed based on the internal temperature field, so that the void range can be effectively detected, construction site personnel or working personnel are assisted to carry out accurate maintenance, and the working efficiency is improved. Resource waste and possible road damage caused by repair beyond the void range are prevented.

The invention discloses an intelligent travelling crane system and a building machine, which are used in the field of prefabricated building construction, and the intelligent travelling crane system comprises an intelligent travelling crane and a data driving system; a track of the intelligent travelling crane is mounted on the building machine supporting structure, and the hoisting range covers the whole construction area; the data driving system comprises a component information base, a BIM data management and control system, a digital twinborn simulation system, a component scheduling system and an intelligent driving management and control system, and automatic and accurate lifting, lifting process pre-simulation, danger alarm and intelligent scheduling can be achieved. The intelligent travelling crane system comprises the intelligent travelling crane and the data driving system, and lifting of the intelligent travelling crane is driven by the data driving system and does not depend on site constructors any more; the optimal path conveying can be realized, and the efficiency is improved; component scheduling is automatically carried out, the logistics state is tracked, the digitization degree is high, and data are clear and can be checked; and the traveling crane maintenance time is judged through accumulated data, accurate maintenance is achieved, and the equipment safety is improved.

The invention provides a multi-agent cluster formation control method and device based on pilot following, and relates to the technical field of cluster control, and the method comprises the steps: obtaining first position information and first speed information sent by a plurality of agents in a multi-agent cluster; acquiring self real-time second position information and second speed information; determining an adjacent agent according to the first position information and the second position information, wherein the distance between the adjacent agent and the target agent is smaller than a preset communication distance; determining a formation role of the target agent in the multi-agent cluster, wherein the formation role comprises a navigator role and a follower role; and calculating a motion track according to the formation role and based on the first position information, the first speed information, the second position information and the second speed information. According to the invention, a cluster formation control problem caused by a communication distance can be solved.

The invention provides an elevator operation vibration detection and adjustment system and method, and relates to the technical field of elevator safety. The system comprises a parameter learning unit, a data acquisition unit, a data processing unit, a control unit and a maintenance interaction unit, the method comprises the following steps: pre-learning key parameters of a shaft, collecting the running state and vibration data of the elevator in real time, realizing accurate recognition of vibration abnormity through multi-dimensional filtering and spectral analysis, executing a grading response strategy in combination with abnormal positions, types and degrees, including maintenance early warning, running parameter dynamic adjustment or running prohibition, and assisting in maintenance through a maintenance interaction unit. Manual on-site detection is not needed, vibration hidden dangers can be actively recognized and dynamically controlled, the risk that a vibration reduction mechanism conceals mechanical abnormity is avoided, elevator operation safety and riding comfort are improved, and meanwhile maintenance efficiency is improved.

The utility model discloses a current collector overhauls system, include: current collector dismounting platform, first plane transmission equipment, its loading end is butt jointed with current collector dismounting platform and sets up, and the unloading end is butt jointed with the cleaning equipment and sets up, via the current collector dismounting platform dismounting's current collector spare is placed in the lifting appliance, cleaning equipment, including a plurality of sequentially arranged cleaning platform, suspension type transmission equipment, set up in the cleaning equipment top, to with lifting appliance is sequentially transmitted to each cleaning platform place, second plane transmission equipment, its loading end is butt jointed with cleaning equipment, and along second plane transmission equipment side setting has a plurality of overhaul equipment. The utility model discloses a current collector overhauls system, can realize the overall, accurate, effective overhaul to current collector, and based on first plane transmission equipment, suspension type transmission equipment and second plane transmission equipment connection overhaul whole process, improve the overhaul efficiency.

The utility model relates to the technical field of power supplies, and discloses a power supply device with an underneath storage location radiator, which comprises a transverse frame, a cabinet body shell and a needle bed power supply device main body, the cabinet body shell is clamped on the inner wall of the side surface of the transverse frame, the inner wall of the side surface of the cabinet body shell is fixedly connected with an electric control board main body, an adjusting mechanism is arranged on the transverse frame, and the needle bed power supply device main body is fixedly connected with the cabinet body shell. An auxiliary mechanism is arranged on the adjusting mechanism, the adjusting mechanism comprises a lap joint frame, the lap joint frame is fixedly connected to the outer wall of the rear side of the transverse frame, a sliding groove is formed in the inner wall of the top of the lap joint frame, and heat dissipation mounting frames are slidably connected to the inner walls of the left side and the right side of the sliding groove. According to the utility model, through the splicing frame structure in which the transverse frame, the longitudinal frame and the vertical frame are mutually fixed through threads, the layout can be flexibly adjusted according to the number of placed equipment, the space is effectively saved, and the occupied area is reduced; internal equipment is concentrated below the small radiator, a radiating path is optimized by utilizing the lower radiator, and a stable and uniform-temperature environment is formed.

The invention discloses a large-volume coarse aggregate UHPC maintenance method based on temperature and humidity joint control, and the method comprises the steps: scanning an infrared temperature image and an infrared humidity image of a coarse aggregate UHPC structure in a maintenance process through an infrared temperature and humidity scanner, constructing a three-dimensional coordinate system, and calculating the coordinates of a pixel projection grid; fusing two adjacent infrared temperature images and infrared humidity images to obtain representative temperature and representative humidity; constructing an absolute temperature rise model and a three-dimensional heat conduction equation, and calculating a real-time ideal temperature; and formulating a temperature and humidity combined control maintenance measure. Joint detection of the temperature and humidity of each point position on the surface of the structure is realized by combining thermal imaging scanning and an image processing technology, accurate temperature and humidity joint control maintenance is performed by combining the surface humidity, accurate maintenance of a large-volume coarse aggregate UHPC area is realized, and the maintenance quality can be effectively improved.

The application discloses a converter automatic slag splashing control method and system based on deep learning, relates to the technical field of converter steelmaking, and acquires a current converter opening image in a slag splashing process in real time, then inputs the current converter opening image into a trained deep learning model, judges whether the current slag splashing type is in a non-slagging state or a slagging state, returns to step S1 if the current slag splashing type is in the non-slagging state, and determines the current slag amount according to the current converter opening image if the current slag splashing type is in the slagging state, and finally controls the oxygen lance to perform corresponding processing actions according to the current slag amount, so that the problem of slag block misjudgment caused by light and smoke interference in the non-slagging state is avoided, and the accuracy of slag splashing control is improved.

The invention discloses a mobile electrical equipment cabinet convenient to overhaul, and relates to the technical field of cabinets, the mobile electrical equipment cabinet comprises a cabinet body, a base is fixedly mounted on the inner wall of the cabinet body, an adsorption device comprises a support frame, a storage cavity plate, a rotating shaft, a discharging plate, a holding rod, a pull rod and an L-shaped clamping plate, the support frame is fixedly mounted on the inner wall of the cabinet body, and the storage cavity plate is fixedly mounted on the base. The storage cavity plate slidably penetrates through the inner wall and the outer wall of the supporting frame, the rotating shaft is rotatably installed on the inner wall of the storage cavity plate, the discharging plate is fixedly installed on the circumferential face of the rotating shaft, the holding rod slidably penetrates through the inner wall and the outer wall of the storage cavity plate, and the pull rod slidably penetrates through the bottom of the supporting frame. The L-shaped clamping plate is fixedly installed on the circumferential face of the pull rod, the discharging plate is opened after limitation on the rotating shaft is relieved, activated carbon particles are rapidly emptied, and therefore the replacement efficiency is improved.

The utility model discloses a glass tempering heating furnace, which relates to the technical field of heating furnaces, and comprises a base, two sides of the base are fixedly connected with a portal frame, one side of the portal frame is fixedly connected with a motor I, the top of the portal frame is fixedly connected with a motor II, the top of the base is provided with a swing mechanism, and the swing mechanism comprises a moving frame. The bottom of the moving frame is slidably connected with a base, the two sides of the moving frame are rotatably connected with a plurality of material rollers, one ends of the material rollers are fixedly connected with chain wheels, the chain wheels are connected through a chain, the bottom of one side of the portal frame is rotatably connected with a rotating shaft, and the top of the rotating shaft is slidably connected with a lower gear. By arranging the swing mechanism, glass in the furnace is evenly heated, the upper furnace body can be lifted in a targeted mode, and the problem that a traditional heating furnace is inconvenient to overhaul is solved.

The invention relates to the technical field of picture processing, in particular to a power distribution network overhead line picture hierarchical knowledge mining method based on intelligent image recognition, and the method comprises the following steps: data standard examination, model design, training and iterative optimization. The method comprises the following steps: acquiring unmanned aerial vehicle inspection data of an overhead line of a power distribution network, carrying out manual annotation on the inspection data to form a fine annotation data set, carrying out model training and evaluation based on the fine annotation data set, and carrying out iterative optimization according to an evaluation result until a model effect reaches a practical level; the knowledge based on hierarchical mining supports power distribution digital intelligence high-level application service, auditing of equipment and elements, and sample collection of algorithm cultivation. Defect identification, collection, re-checking and work order pushing processes taking the tower as a unit are highly automatic, so that the efficiency and accuracy of defect processing are greatly improved, human errors are reduced, and the timeliness and effectiveness of power grid maintenance work are ensured.

This disclosure provides a display control method and device, electronic equipment, and storage medium for a mine safety monitoring system, relating to the field of monitoring technology. By constructing display modules to splice together a mine display surface, a distributed signal processing system is used to uniformly process multi-source heterogeneous monitoring signals from underground mines and generate a network data stream that can be visualized and dragged for layout. The system performs regional time-sequential power-on management on the mine display surface and adaptively adjusts the driving parameters of the corresponding display areas based on the operating status information collected by sensors. Simultaneously, when a pixel-level anomaly is detected, a pixel compensation mechanism is triggered, and an anomaly report with precise location identifiers is generated synchronously. Therefore, it can solve the problems in existing technologies such as poor protection performance of display devices, complex and rigid multi-source signal processing, inconvenient layout operation, loss of image integrity when pixels are abnormal, and difficulty in fault location and maintenance.

The invention provides a clean air pipe air tightness detection method and device, the clean air pipe air tightness detection method is applied to a pipeline robot, and the method comprises the steps: collecting clean air parameters in a clean air pipe based on a preset detection interval, and obtaining a group of clean air parameters corresponding to a plurality of detection points; comparing two adjacent groups of clean air parameters in the plurality of groups of clean air parameters to determine the air tightness of the detection point corresponding to each group of clean air parameters to obtain a first detection result; and according to the first detection result and the positioning data corresponding to each group of clean air parameters, a second detection result is obtained, and the second detection result represents an air tightness detection result of the clean air pipe. According to the detection method provided by the invention, the position of the abnormal air tightness of the air pipe can be accurately positioned, so that the position of the abnormal air tightness can be accurately overhauled, the efficiency of handling the abnormality of the air pipe is improved, and the labor cost is reduced.

The utility model relates to a liquid carbon monoxide vacuum storage tank. According to the scheme, a heat insulation material is attached to the inner wall of an inner container, and a liquid inlet / outlet connector is formed in the top and extends to the outside through the top of an outer container. The inner container and the outer container form a vacuum interlayer, and a vacuum isolating valve M1 and a vacuumizing valve N1 are arranged to keep the vacuum degree of the interlayer. The double safety valves are connected with the recovery pipeline through a first safety valve pipeline and a second safety valve pipeline respectively and used for discharging in the overpressure state. In addition, an overpressure automatic release pipeline is particularly arranged, an automatic pressure release valve is arranged to be communicated with a recovery pipeline, and it is ensured that gas is safely released when the inner container is overpressure. In addition, a pressure maintaining pipeline is arranged and is combined with an automatic pressure increasing valve I1 and a self-pressure increasing vaporizer L1 to carry out precise pressure increasing control on the inner container. The inner container and the outer container are both integrated with pressure and temperature monitoring points, the inner container further has a liquid level monitoring function, and all-directional safety monitoring and efficient operation are achieved.

The invention relates to a turnout gap monitoring method and device, electronic equipment and a medium, and relates to the field of turnout gap monitoring, and the method comprises the steps: obtaining a distance change diagram between a guard rail and a stock rail and an amplitude change diagram of the guard rail when each train passes through a turnout gap in a preset time period, and determining the type of each train, judging whether the guardrail is abnormal or not when each train passes based on the category, the distance change diagram and the amplitude change diagram, and if so, determining the abnormal level and the abnormal frequency of the guardrail during each abnormal time based on the corresponding distance change diagram and the amplitude change diagram during the abnormal time; and judging whether the guard rail needs to be overhauled based on the abnormal grade and the frequency ratio. The method has the effect of improving the maintenance efficiency and accuracy of the guard rail.

The present invention provides a device networking method and system based on IPv6 protocol, comprising: when registering a device, first read the sequence number in its own unique identifier, combine it with the bytes generated by a random number generator to generate a network card identifier and a local link address, trigger a multicast neighbor request, combine it with the router IPv6 network address prefix to form the device IPv6 address, register the identifier information with the system, set the object to complete the registration; in the monitoring of the device IPv6 network address change, listen to the ICMP6 protocol routing announcement, and when the router network prefix changes, regenerate and re-register the IPv6 address with the new prefix and the network card identifier; in terms of system functions, receive registration information and register related content, remotely set parameters, perform user and device management, and the device management covers multiple functions such as remote online software upgrade; the present invention can simplify address management, reduce the use threshold and cost, enhance the device management function, and improve the dynamic address processing efficiency, thereby overcoming the shortcomings in the prior art.

The application discloses a macrobrachium rosenbergii three-dimensional flat plate recirculating aquaculture system and method, which comprises a system support, a three-dimensional flat plate aquaculture unit and a recirculating water treatment unit. The three-dimensional flat plate aquaculture unit comprises a plurality of flat plate water tanks arranged on the system support. A water inlet pipeline is arranged above the top of the flat plate water tank and supplies water to the flat plate water tank in a downward spraying manner. A water level control overflow port is arranged on the side wall of the flat plate water tank. A sewage discharge hole array is arranged on the bottom of the flat plate water tank. A water collecting tank is fixedly connected to the outside of the bottom of the flat plate water tank. The sewage discharge hole array is in communication with the water collecting tank. The water collecting tank and the overflow port are connected to a recirculating water pipeline. The recirculating water pipeline is connected to the input end of the recirculating water treatment unit. The output end of the recirculating water treatment unit is connected to the water inlet pipeline, thereby forming a closed loop circulation, and the specific growth rate and the weight gain rate of the macrobrachium rosenbergii are greatly improved.

The invention relates to the technical field of intelligent event processing, and provides an event dialogue collecting and processing method and system.The method comprises the steps that a corresponding cache instance is created according to a received dialogue request, and the cache instance is initialized; modifying a preset information extraction cue word template according to the cache instance, obtaining an information extraction cue word, and updating slot position information of the cache instance according to the information extraction cue word; when a picture is received in the dialogue, the cache instance is updated by analyzing and adding picture information, and when an instruction of deleting the picture is received in the dialogue, the picture is deleted by modifying the picture information in the cache instance; and modifying a preset content reply prompt word template according to the cache instance, obtaining a content reply prompt word, and generating dialogue reply content according to the content reply prompt word. Through accurate cache management, slot state control and picture content maintenance, the information acquisition and processing flow is optimized, the response speed and the data processing precision of the system are improved, and the intelligent level of user interaction is improved.

The present invention provides a detection method and system for the inside of a switch cabinet based on defect reconstruction technology, which relates to the field of defect detection technology, including obtaining a cross-sectional boundary temperature curve at the position of the highest temperature point, and using the cross-sectional boundary temperature curve as the temperature input for defect reconstruction and positioning; using a multi-layer equivalent analysis module for processing, and using a multi-layer rectangular parallelepiped structure model as a model input for defect reconstruction and positioning; simulating defects occurring during material manufacturing to obtain prior information on material defects; obtaining preliminary positioning information on potential defects inside the switch cabinet; using known quantities to correct the result value of the piecewise polynomial singular value truncation decomposition method to obtain a corrected result; determining the reconstruction and positioning result of the defect inside the switch cabinet, and clarifying the location and type of the defect based on the reconstruction and positioning result. The beneficial effects of the present invention are to improve the intelligent level of defect detection and realize comprehensive monitoring and management of complex engineering structures.

The present invention relates to the technical field of piston ring group wear monitoring, specifically a method and system for predicting the wear life of a piston ring group; firstly, the working status data of the piston ring group is collected in real time, and the improved wavelet transform is used for denoising and the missing data is processed by the KNN interpolation method, then the data after standardization and normalization is processed, and the filter label generation and audit mechanism are used to ensure the ordered homogeneity of the data, and an ultra-limited learning machine model is constructed, and the hidden layer output matrix is ​​calculated by randomly generating hidden layer weights and bias vectors, and the model parameters are optimized by the white whale optimization algorithm to improve the prediction accuracy, and then the remaining life is predicted, and the final prediction result is used to calculate the fault risk coefficient, and compared with the preset threshold value to provide maintenance suggestions, and the real-time data and prediction results are displayed to assist users in making maintenance decisions. The present invention combines advanced signal processing technology and machine learning algorithms to improve the maintenance efficiency of the piston ring group and the reliability of equipment operation.

The utility model relates to the technical field of robot detection, and discloses a precision detection device for a surgical robot system. The surgical robot system precision detection device comprises a test device base, and a mounting structure is arranged at the top end of the test device base. By arranging the mounting plate, the mounting insert, the mounting groove, the clamping block and the clamping groove, a matched test mold is selected according to the model of a surgical robot to be detected, the test mold is placed on the test device base, the test mold is clamped through the mounting insert and the mounting groove at the bottom end of the mounting plate, and the test mold is clamped and fixed through the movable rod, the clamping block and the clamping groove; if yes, the test mold is rapidly fixed to the test device base, finally, the test device base is fixed to the surgical operation table, at the moment, the test mold simulates the geometrical morphology of the human skeleton through the detection cavity and is used for testing, and meanwhile a test image of the test mold is obtained through medical imaging equipment.