319results about How to "Avoid human error" patented technology

The invention discloses an incremental synchronization method, device and equipment of a database table structure and a storage medium, and is applied to the field of big data, and the method comprises the following steps: obtaining a DDL statement which causes the structure change of a source database through a trigger, and adding metadata of the DDL statement into a DDL operation record table; generating a pre-write log according to an addition operation of the DDL operation record table, and writing the pre-write log into the logic copy slot; and when a log reading request sent by the client through log monitoring is received, sending the pre-written log to the client, so that the client restores the DDL statement according to the pre-written log and sends the DDL statement to the target database, and the target database and the source database keep table structure increment synchronization. According to the method, the pre-write log which can be recognized and processed by the logic replication slot is generated through the trigger, the pre-write log is monitored for the logic replication slot through the client, and the DDL statement is analyzed and restored, so that corresponding DDL operation is executed in the target database, and increment synchronization of the table structure is realized.

The invention discloses a medical data security access control method and system based on cloud network side-end cooperation. The method and system are used for solving the problems of privacy disclosure, data abuse, access control failure and the like in cross-institution medical data cooperation. The method provided by the invention comprises the steps that the edge device collects medical data of a user; performing preprocessing and homomorphic encryption on the medical data on the edge computing node, and uploading the encrypted medical data to a cloud platform; when a use request of a calculation participant for target medical data of a target user is received, obtaining a smart contract; checking whether the authority of the calculation participant accords with an authorization rule or not through the smart contract; if yes, activating an SMPC protocol, and generating a random seed through a VRF or a chaotic mapping function; performing encryption calculation by using a random seed to obtain an encrypted calculation result; and when the calculation participant requests to obtain the calculation result, decrypting and authorizing to access the calculation result according to the verification result of the random seed.

The invention discloses a full-automatic intelligent multifunctional high-order nonlinear fluorescence dynamics testing method and device, and relates to the field of nonlinear optics and nano photonics. An optical testing device composed of an exciting light generation module, an automatic power regulation module, an exciting light modulation module, a sample scanning module, a data acquisition and analysis module and an intelligent control module is established, and under the excitation of incident laser, based on the overall coordination of the intelligent control module, the optical testing device is established. Other modules are driven to complete the dynamic response test of a nonlinear fluorescence sample, and full-automatic intelligent, multifunctional, high-precision, simple, efficient, low-cost and universal fluorescence dynamic test analysis is realized. The problems that traditional manual operation wastes time and labor and the testing precision is low are solved. In addition, the multifunctional integration of the fluorescence response curve, the fluorescence rise time, the fluorescence lifetime and the fluorescence imaging effectively improves the test efficiency and the application scene, and greatly reduces the system cost.

The invention relates to the technical field of water treatment, in particular to a water treatment solution adding device which comprises a treatment barrel used for storing liquid to be treated, a pressing plate is arranged in the treatment barrel, a sealing sleeve is fixedly connected to the outer wall of the pressing plate, and the outer wall of the sealing sleeve is tightly attached to the inner wall of the treatment barrel. A plurality of compression springs are fixedly connected to the lower end face of the pressing plate at equal intervals, the lower ends of the compression springs are fixedly connected with the inner bottom face of the treatment barrel, a connecting rod is fixedly connected to the middle of the lower end face of the pressing plate and is L-shaped, one end of the connecting rod penetrates through the treatment barrel, and a fixing barrel is fixedly connected to one side of the upper end face of the treatment barrel; an additive barrel used for storing additives is arranged at the upper end of the fixed barrel, and quantitative assemblies are arranged in the additive barrel and at the lower end of the additive barrel. Compared with the prior art, the problem that in the prior art, it is difficult to automatically recognize the weight of the water treatment liquid and then add the additive with the corresponding content is solved.

The invention relates to the technical field of testing and fault diagnosis, in particular to a testing and fault diagnosis method and device for a navigation management responder and an airborne collision avoidance system, and the method comprises the steps: constructing a fault case library and an expert knowledge library, and testing the navigation management responder and the airborne collision avoidance system, acquiring test results and characteristic parameters of the navigation management responder and the airborne collision avoidance system; if the test result does not meet the preset standard, matching the feature parameters with fault cases in an expert knowledge base through an inference engine, and outputting fault causes and processing suggestions according to requirements; according to the technical scheme, by integrating the automatic test system and the fault diagnosis reasoning system, various performance tests of the navigation management responder and the airborne collision avoidance system can be automatically executed, and the test efficiency and precision are remarkably improved.

The invention discloses a power field digital project cost review method based on impact factors, and belongs to the technical field of digital project cost review. The invention provides a solution for the problem that the score of the influence factor with floating score interval cannot be accurately evaluated in the practical application of intelligent review by using the model. Project data are automatically analyzed through big data analysis, a machine learning algorithm and other technical means, the cost is accurately predicted, potential risks are found in time, human errors are effectively avoided, resource allocation is optimized, a more scientific and objective cost basis is provided for decision making of power enterprises, deep development of digital transformation in the power field is promoted, and the economic benefits of the power enterprises are improved. And double improvement of economic benefits and social benefits is realized. According to the method, objectivity, scientificity and accuracy of a digital project cost review result in the electric power field are improved, and the working efficiency of digital project cost review can be improved.

The invention provides a simulator networking interface code generation method and device, equipment and a medium, and the method comprises the steps: disassembling a nested structure body in a target interface definition language file, and obtaining the information of the disassembled structure body; generating a first interface control document corresponding to the data distribution service network according to the disassembled structure body information; generating a second interface control document corresponding to the simulator network according to the first interface control document and a simulator network data definition rule; and generating a simulator networking interface code according to the data distribution service data definition rule, the simulator network data definition rule and the second interface control document. According to the method, networking between the data distribution service and the simulator can be achieved, manual interface definition and butt joint do not need to be manually conducted in the whole process, the development speed and development efficiency of networking between the data distribution service and the simulator are improved, and human factor errors caused by manual interface processing are effectively avoided.

The invention belongs to the technical field of coating production, and discloses an automatic mixing and proportioning device for coating production and a proportioning method thereof.The automatic mixing and proportioning device comprises a mixing frame, a mixing barrel is fixedly connected to the lower portion of the mixing frame, two controllers are fixedly connected to the front face of the mixing frame, and conveying barrels are arranged on the two sides of the mixing frame; and one end of the conveying cylinder is fixedly connected with a connecting pipe, the two sides of the mixing frame are fixedly connected with connecting plates, and the connecting plates are in lap joint with auxiliary plates. Through the arrangement of the transmission structure, the opening and closing structure, the controller and the weighing device, raw materials in discharging can be weighed through the weighing device, excessive personal errors are avoided, and through cooperation of the transmission structure, the opening and closing structure and a sealing ring, the sealing effect is improved. And when the sealing ring is turned over, the four sealing plates can seal the discharging opening of the auxiliary plate after rotating, so that the subsequent raw materials are prevented from permeating into the weighed raw materials, and the flexibility of the mixing and proportioning device is guaranteed.

The utility model discloses titanium alloy pipe sealing detection equipment, and belongs to the field of industrial detection and quality control. Titanium alloy pipe sealing detection equipment comprises a working table, a control table is fixed to the upper side of the working table, a detection component is fixed to one side of the control table, a sliding component is fixed to the upper side of the working table, a gas transmission component is arranged on the upper side of the sliding component, and a conveying component is in contact with the upper side of the sliding component in an attached mode. According to the utility model, the operation of the conveying component and the detection component is controlled through the console, automatic conveying, positioning and detection of the titanium alloy pipe are realized, the complexity of manual operation is greatly reduced, the detection efficiency is improved, and meanwhile, the thermal infrared imager can capture the temperature difference between an air leakage position and other positions, so that the detection accuracy is improved. By comparing and analyzing the differences, the sealing performance of the titanium alloy pipe can be accurately judged, the non-contact detection method avoids possible personal errors in a traditional method, and the detection accuracy is improved.

The invention belongs to the technical field of computer vision, and discloses an arm movement automatic evaluation system and method for dyskinesia of a cerebral palsy patient, and the system is characterized in that a data collection module carries out the movement data collection of the movement task of the arm of the patient through a smart phone camera; the posture estimation and key point detection module uses a posture estimation algorithm to automatically detect and track arm movement of a patient and recognize key points of a human body, and after coordinate data of the key points are obtained, data preprocessing is carried out; the muscular dyskinesia feature extraction module extracts muscular dyskinesia features from the motion data of the arm of the patient and constructs a corresponding feature set; the automatic scoring module uses a multi-layer feedforward neural network model to automatically calculate the score of the muscular dystonia based on the arm movement characteristics of the patient; the report generation module is used for generating an evaluation report. The method is suitable for arm movement evaluation of myodynia of cerebral palsy patients, and an objective, convenient and efficient evaluation tool is provided for clinicians.

The invention discloses a gas compressor rotor blade milling blade body clamp and a blade body milling method thereof, and belongs to the technical field of aero-engine gas compressor blade machining. The clamp comprises a connecting disc, a supporting block, a positioning assembly A, a positioning assembly B and a clamping mechanism, the supporting block is arranged on the end face of one end of the connecting disc, the positioning assembly A and the positioning assembly B are both arranged on the supporting block, and the clamping mechanism is movably connected with the positioning assembly B and the supporting block. Two profiling check blocks are symmetrically and detachably connected to the inner side of the clamping mechanism. When the shapes or sizes of the tenons of the to-be-machined compressor rotor blades are different, the to-be-machined compressor rotor blades can be positioned and clamped only by replacing the profiling check blocks, the use flexibility of the clamp is remarkably improved, the clamp does not need to be aligned again, human errors are prevented from being introduced in the clamp replacing process, and the machining efficiency is improved. The machining cost of the clamp is reduced, and the alignment time of the clamp is saved.

The invention provides a to-be-machined part machining method and system for coordinate transformation processing, and relates to the technical field of to-be-machined part machining. The method comprises the following steps that a three-dimensional model of a pentahedron machining center is constructed; constructing a three-dimensional model of the to-be-machined part and superposing the three-dimensional model into the three-dimensional model of the pentahedron machining center; establishing a vertical machining coordinate system and a horizontal coordinate system; vertical machining and horizontal machining are switched; and the vertical machining tool conducts vertical machining on the vertical machining faces of the to-be-machined part, and the horizontal machining tool conducts horizontal machining on the multiple horizontal machining faces of the to-be-machined part till all the faces of the to-be-machined part are machined. According to the method, the parameters of vertical machining and horizontal machining are obtained through modeling and three-dimensional coordinate establishment, and when vertical machining is converted into horizontal machining, three-dimensional coordinate conversion is carried out, so that manual errors are effectively avoided, the skill requirements of machine adjusting technicians are reduced, the machining precision consistency is guaranteed, the whole process is automatic, and the machining efficiency is high.

The invention provides an automatic loading method and system for an aero-engine test run. The method comprises the following steps: establishing a coding table according to an engine running state and a loading demand; configuring the test run program and the code table to obtain a test run program configuration code; the test run program configuration code is transmitted to the PLC through a data acquisition channel; the PLC performs programming according to the received test run program configuration code, and compiles a corresponding control logic instruction; on the basis of a control logic instruction sent by the PLC, a test run automatic loading program of the engine is started, the loading state of the engine is controlled to be switched according to the loading requirement corresponding to the coding table, and the automatic loading process of engine test run is controlled. According to the automatic loading method, manual loading operation can be completely replaced without being influenced by a preset test run program, the loading amount and the loading time are automatically adjusted according to the actual running state of the engine, and loading can be stopped at any time in the loading process.

The invention relates to the field of tire manufacturing equipment, in particular to a continuous fiber composite material tire bead forming device and a preparation process. Comprising a machine base, a feeding mechanism, a winding forming mechanism and a conveying mechanism. The feeding mechanism and the winding forming mechanism are both arranged on the upper half portion of the machine base, and the winding forming mechanism is arranged behind the feeding mechanism. The conveying mechanism is arranged on the left side of the lower half portion of the machine base. The invention has the advantages of flexible process adjustment and multifunctional performance, and various complex structures can be designed and processed according to the tire bead. Various fiber stacking modes and resin infiltration modes can meet different product structures and performance requirements of processing requirements through automatic control and intelligent operation of equipment.

The invention relates to the technical field of fire-fighting facility detection, and provides a fire-fighting facility detection system based on Internet of Things and artificial intelligence, a data area module is used for inputting basic data and classifying fire-fighting facilities according to positions and systems to generate different system data areas; fire-fighting facility operation data and linkage data are collected, and picture data and video data are uploaded to system data areas corresponding to the data; the data analysis module is used for matching the recorded or collected data of each sub-item technical requirement with a judgment index of a technical standard through a fire-fighting facility detection multi-mode large language model, and judging whether the data is qualified or not; the data judgment module is used for comprehensively judging whether the technical requirements are qualified or not according to judgment results of the technical requirements of all the sub-items; the detection report module is used for generating and printing a report. Data can be automatically called, an analysis model is entered to classify, process and convert the data, relevant technical requirements of standards are matched, and each item of data is intelligently judged and configured to automatically generate an analysis report.

The invention relates to the technical field of live pig body size measurement, in particular to a non-contact pig body size estimation method and device based on a multi-position camera. The method comprises the following steps: firstly, acquiring back and side images of a pig through a multi-position camera, generating a standardized data set, then carrying out live pig attitude detection by utilizing an improved YOLOv11 model, screening out an image with an ideal attitude by introducing a deformable convolution and adaptive spatial feature fusion module, and carrying out real-time detection on the attitude of the live pig. Secondly, accurately positioning key point pixel coordinates related to the pig body size by using an HRNet key point positioning model, calibrating and correcting camera image distortion through internal and external parameters, calculating a conversion factor of pixels and actual size, and finally converting the pixel distance of the key points into actual body size data. According to the method, the multi-camera layout and the deep learning technology are combined, high-precision, automatic and stress-free pig body size measurement is realized in a complex breeding environment, and an efficient solution is provided for large-scale breeding and pig health management.

The invention discloses an engine shell composite skirt and a manufacturing method and device thereof, and belongs to the technical field of engine shells, the engine shell composite skirt comprises a skirt body, the skirt body is formed by splicing thirty-six skirt sections into a circular ring shape, skirt teeth are arranged at one end of the skirt body, a folded edge is arranged at the other end of the skirt body, corner box positioning holes are formed in the skirt body, and the corner box positioning holes are formed in the skirt body. A fillet is arranged on the inner side of the joint of the skirt body and the folded edge. By arranging the driving motor, the millstone, the driving assembly and the telescopic assembly, during use, a worker places the skirt body on the table, during grinding, the worker enables the frame to drive the driving motor and the millstone to move to the position, needing to be ground, of the outer circle face of the skirt body through the driving assembly, and then the driving motor is started to enable the millstone to rotate; and finally, the driving motor and the grinding disc can move close to the skirt body through the telescopic assembly to grind the outer circle face of the skirt body, personal errors are avoided, and therefore the grinding precision of the skirt body is improved.

The invention discloses a radio frequency filter performance detection device, which relates to the technical field of radio frequency filter detection and comprises a main body mechanism, a rotating mechanism, a positioning mechanism, a detection mechanism and a moving mechanism, under the mutual cooperation of the visual detection equipment, the first electric clamp, the X-ray detection equipment and the plug connection equipment, the appearance, the internal structure, the performance and other aspects of the filter can be detected, the product quality and reliability are improved, the stability and the safety of the system are ensured, and after the detection is finished, the detection efficiency is improved. Through cooperation of the electric clamp and the electric telescopic rod, unqualified filters can be automatically recognized and removed, manual intervention is not needed, the speed of the production process is increased, human errors are also avoided, marks can be engraved on the unqualified filters through the laser engraving head, maintenance personnel can conveniently and rapidly locate the problems, and the production efficiency is improved. And the maintenance effect and time of the filter are improved.

The invention discloses a fire-fighting emergency drilling method based on a computer technology, relates to the technical field of intelligent rescue, and aims to standardize and systematize a fire-fighting emergency drilling process, define tasks, decision nodes and time requirements of each link, avoid manual operation errors, improve drilling coordination, enable tasks to be executed more smoothly and improve the efficiency of fire-fighting emergency drilling. Meanwhile, an automatic monitoring system is adopted to collect the physical state of firemen, the use condition of fire extinguishing equipment and the dynamic development of a fire in real time, GPS positioning equipment, biological monitoring equipment and a fire sensor continuously track the physical condition and fire behavior change of participants, the response speed and accuracy of drilling are greatly improved, feedback lag is reduced, and the safety of the firemen is improved. Dynamic adjustment is carried out through integration of an automatic monitoring system and the BPMN model, when a fire behavior changes remarkably, the fire behavior is immediately fed back to a decision node in the BPMN model, an emergency strategy is automatically adjusted, the adaptability of drilling to a sudden complex situation is enhanced, and dynamic requirements in a real fire disaster are closer.

The utility model discloses an automatic instrument device which comprises an installation cabinet, an installation plate is installed in the installation cabinet, an installation table is detachably installed on the installation plate, an instrument display end is installed on the installation table, an instrument collection end is installed on a production system, and the instrument collection end is in communication connection with the instrument display end. A transparent observation window is arranged on the side, where the instrument display end is installed, of the installation cabinet, an instrument system display panel is arranged on the transparent observation window, and the instrument display end is located at the position corresponding to the instrument system display panel. According to the invention, the pipelines in the factory can be divided into several areas, the automatic instrument display ends of each area are integrated together, and the pipeline or equipment corresponding to each instrument is drawn through the instrument system display panel, so that on-site monitoring is clear at a glance, and the on-site supervision efficiency is improved.

The invention provides a heart function auxiliary analysis system based on a neural network, and belongs to the technical field of heart assistance, and the system comprises a preprocessing module which is used for preprocessing a heart ultrasound image; the waveform recognition module is used for performing waveform detection and multi-scale feature recognition on a waveform curve in the preprocessed ultrasonic image, positioning a peak value and a valley value of a waveform, and recognizing a diastolic frame and a systolic frame in a cardiac ultrasonic period; the three-dimensional reconstruction module is used for performing three-dimensional reconstruction on the heart region by using a deep learning technology; the calculation module is used for calculating the volume and ejection fraction of the left ventricle according to the reconstructed heart area; and the auxiliary reminding module is used for carrying out abnormal value verification and elimination on the ejection fractions obtained in the plurality of periods through an abnormal value elimination algorithm to obtain an accurate value, and outputting the cardiac function information of the patient for auxiliary reminding. The cardiac function condition of a patient can be accurately reflected, an accurate basis is provided for auxiliary reminding, and effective support is provided for clinical diagnosis.

The utility model relates to the technical field of roll collar machining, and provides an intelligent roll collar grinding machine which comprises a roll collar grinding machine body, a headstock servo motor is arranged on one side of the roll collar grinding machine body, the output end of the headstock servo motor is connected with a first motor belt pulley, and a belt pulley is arranged below the first motor belt pulley. The first motor belt pulley and the belt pulley are in transmission connection through a tensioned synchronous belt, one end of the belt pulley is connected with a headstock main shaft, the other end of the headstock main shaft is sequentially provided with a first double-row cylindrical roller bearing, a thrust ball bearing and a second double-row cylindrical roller bearing, and a main shaft motor is arranged on the other side of the roll collar grinding machine; the output end of the spindle motor is connected with a second motor belt pulley, and the bottom of the second motor belt pulley is in transmission connection with a grinding carriage spindle through a joined triangular belt. The grinding efficiency and precision of the grinding wheel are effectively improved, the stability of equipment and the working efficiency of an operator are improved, and the development of intelligent and digital manufacturing is further promoted.

The invention discloses an intelligent capacity expansion SDN gateway system for a cloud computer, belongs to the technical field of cloud computing, and aims to solve the technical problem of how to realize capacity expansion of an SDN gateway in a cloud computer environment so as to deal with network traffic congestion. Comprising an index acquisition monitoring module used for acquiring key performance indexes from an SDN gateway, the key performance indexes comprising a CPU usage rate, a memory usage rate, a disk read-write rate and a real-time network flow; the intelligent prediction module is used for training and optimizing the network traffic prediction model based on the historical key performance indexes and the user use habit data, and predicting the traffic trend of the SDN gateway in a future predetermined time period based on the trained and optimized network traffic prediction model; and the intelligent decision-making module is used for carrying out expansion decision-making based on the key performance index, the flow trend of the SDN gateway in the future predetermined time period and the resource utilization rate.

The invention relates to the field of computer aided design, and provides a section drawing system and method based on three-dimensional geologic modeling software and AutoCAD, and the method comprises the steps: constructing a three-dimensional geologic section map through the three-dimensional geologic modeling software, and then projecting the three-dimensional section map into a two-dimensional section map in the line direction. The method specifically comprises the following steps of: importing line information and a three-dimensional profile into a DWG (Discrete Wavelet Graph); then, acquiring geological boundaries on the three-dimensional profile map, and classifying according to layers to distinguish stratum attributes of the geological boundaries; finally, coordinate transformation is carried out on the geological boundary lines on the three-dimensional profile map one by one, and point set coordinates of the geological boundary lines of the two-dimensional profile map are obtained; and finally, drawing a two-dimensional geological boundary on the basis of two-dimensional drawing software according to the point set coordinates to obtain a two-dimensional profile map. According to the method, the three-dimensional profile map sectioned by the three-dimensional modeling software can be automatically drawn into the two-dimensional profile map, human errors are avoided, the working efficiency and quality are greatly improved, practicability is high, and the method has high application and popularization value.

The invention provides a knowledge application graph database query statement automatic generation method, which comprises the steps of obtaining knowledge data in administrative approval, and constructing an administrative approval knowledge graph based on the knowledge data; the method comprises the following steps: configuring graph knowledge applications, configuring a function retrieval statement template of each knowledge application according to the type of the knowledge application, and constructing a wake-up word data table according to the type of the knowledge application; and according to the administrative approval knowledge graph and the knowledge application configuration information, matching a user input statement with the function retrieval statement template, and generating a graph database query statement. By effectively packaging professional knowledge, realizing template and automation of query statements and intelligently generating queries suitable for different knowledge application types, the usability of the knowledge graph and the graph database is remarkably improved, the operation complexity is reduced, the intelligent process of knowledge-driven decision making is promoted, and the knowledge-driven decision making efficiency is improved. And powerful support is provided for application of knowledge graph and graph database technologies in various industries.

The invention relates to a nuclear power plant emergency facility residence judgment method and system, a storage medium and electronic equipment. The nuclear power plant emergency facility residence judgment method comprises the steps that a nuclear power plant emergency facility residence judgment mode is determined according to a selection instruction; the residence judgment mode comprises any one or more combinations of a radiation monitoring-based mode, an accident source item-based mode and an air sampling-based mode; if the judgment mode is any one, a residence judgment result and / or a protection action suggestion are / is given based on the selected judgment mode; and outputting a target residence judgment result and / or a target protection action suggestion based on the residence judgment results of the multiple combinations if the target protection action suggestion is the multiple combinations. According to the method, external irradiation can be judged, contribution of an internal irradiation path can be evaluated, an automatic mode is adopted, the judgment efficiency is improved, human errors can be avoided, the reliability and accuracy of a judgment result are improved, and the reasonability of personnel protection action decisions in emergency facilities is improved.

The invention provides an intelligent dust remover control system and method.The system comprises a pressure difference sensor, a pulse soot blowing module, a sound wave soot blowing module, a flow sensor and a PLC, and the pressure difference sensor is used for monitoring the pressure difference value between the clean face and the dirty face of a filter cartridge or a filter bag; the pulse soot blowing module comprises a pneumatic proportional valve used for adjusting the injection pressure and a pulse electromagnetic valve used for adjusting the injection pulse width and the pulse injection period. The sound wave soot blowing module comprises a sound wave soot blower; and the controller is in signal connection with the differential pressure sensor, the pulse soot blowing module and the sound wave soot blowing module. The system has the advantages that the pulse soot blowing module and the sound wave soot blowing module can be automatically and effectively controlled and reasonably utilized, the start and stop of the corresponding modules are timely controlled, the working parameters are regulated and controlled, the dust remover is ensured to work in a more reasonable, effective and economical manner, the dust remover can be ensured to keep a good working state in a longer time period, and the working efficiency is improved. The energy consumption is reduced, the labor cost of maintenance regulation and control is reduced, and possible errors caused by manual regulation and control are avoided.

The application discloses a protocol changing method and device, electronic equipment and a readable storage medium. The protocol changing method comprises the following steps: obtaining protocol changing content; the protocol changing content is used for describing at least one protocol changing operation; obtaining a protocol string sequence according to the protocol changing content; the protocol string sequence comprises a plurality of protocol strings, and each protocol string corresponds to one protocol changing operation; obtaining protocol elements in the protocol string sequence and a dependency relationship between the protocol elements, and constructing an abstract syntax tree according to the protocol elements and the dependency relationship between the protocol elements; obtaining target protocol changing code according to the abstract syntax tree, so as to change an original protocol according to the target protocol changing code and obtain a target protocol after the change. The application can obtain the target protocol changing code which can quickly and accurately change the original protocol.

A needle bed leveling device, relating to the technical field of needle bed leveling devices, includes a support frame. A servo motor is mounted on the upper end of the support frame. A lead screw is mounted on the output shaft of the servo motor via a coupling. An upper needle bed pressure plate is fixedly mounted on the bottom of the lead screw. A needle bed is mounted on the bottom of the upper needle bed pressure plate. A thick silicone plate is disposed below the needle bed. Positioning components for clamping and fixing the thick silicone plate are provided on both sides of the upper needle bed pressure plate. A lower needle bed pressure plate is disposed at the lower end of the support frame. This solution ensures that electronic components fixed on the thick silicone plate protrude at the same height, thereby ensuring that the silver plating thickness at the ends is basically consistent and improving the quality of the electronic components after silver plating.

The invention provides an intelligent disk monitoring method and device based on thermal power plant circulating pump economic dispatching, and aims to solve the problems of dispatching response lag, scattered monitoring, nonstandard operation and the like in traditional circulating pump operation. The system comprises a data acquisition module, an economic dispatching decision module, a state monitoring module, a fault early warning module, a dispatching instruction execution module and a man-machine interaction module, the optimal circulating pump operation mode is automatically matched by acquiring the parameters such as the Yangtze River water temperature, the unit load and the condenser vacuum in real time, and the switching operation is executed according to the standardized step sequence. Meanwhile, the system carries out full-dimension state monitoring on a circulating pump, a butterfly valve, circulating water and a vacuum system, and fault early warning and intelligent pushing are achieved in combination with abnormal parameter correlation analysis. A large amount of hardware does not need to be added, the circulating pump power consumption can be remarkably reduced, the operation safety and the automation level are improved, and the method is suitable for intelligent monitoring and optimal scheduling of various thermal power generating units.