46results about How to "Improve management level" patented technology

The invention provides an operation path planning method and system integrating environmental perception and occupational health, and the method specifically comprises the steps: obtaining a three-dimensional map of a farm, and building a harmful gas prediction model related to an exhaust state; taking a personnel starting and ending point as a root node, performing bias sampling on a low-concentration region according to the model, and respectively constructing a forward and backward random search tree, a path cost comprehensive geometric distance and a predicted average concentration; performing reconnection optimization on the double trees, and updating father nodes of lower-cost adjacent nodes; connecting the optimized dual trees to generate an initial path; accumulated harmful gas exposure of the path is calculated, the gas exposure is the integral of the product of the retention time and the concentration, and target operation parameters of all exhaust equipment along the line are determined accordingly; and updating the prediction model by using the new parameters, repeatedly executing path search and exhaust parameter optimization until the total cost change of adjacent iteration paths is smaller than a convergence threshold value, and outputting an operation path and exhaust cooperation scheme.

The utility model relates to the technical field of insulating ladders, in particular to an insulating ladder placing hanger for a thermal power plant, which comprises a base, at least two upright posts vertically arranged on the base, and a hanging mechanism fixed on the upright posts, the hanging mechanism comprises at least two groups of L-shaped hooks, a hinge shaft is arranged at the tail end of the short edge of each L-shaped hook, a plurality of mounting holes are formed in the stand column at equal intervals in the height direction, and the hinge shafts penetrate through the mounting holes and are connected with locking nuts through shaft end threads; the outer surface of the long edge of the L-shaped hook is coated with an anti-skid insulating layer with the thickness larger than or equal to 5 mm. The anti-skid insulating layer is a silicone rubber and epoxy resin composite layer. According to the insulation ladder hanger, through the design of adjustment, skid resistance, monitoring and insulation, the structure is adjustable, safety and stability are achieved, insulation is reliable, operation is convenient, the hanging requirements of different ladder types are met, and use safety and efficiency are improved.

The present application relates to the field of aviation logistics information management, and discloses an aviation logistics information monitoring method, device, equipment and storage medium.The method comprises the following steps: obtaining logistics order information of goods to be transported;extracting declared feature information in the logistics order information, and generating a plurality of reported orders corresponding to the logistics order information according to a preset layout type according to the declared feature information;extracting attribute information of each dimension data of each reported order, and performing visual configuration of the corresponding data channel on each dimension data according to the attribute information to obtain an order monitoring view;when the logistics update data is obtained, performing risk assessment on the logistics update data and the reported order by using the analytic hierarchy process to obtain an evaluation result;selecting a target data channel from the data channel corresponding to each dimension data according to the evaluation result, and updating the order monitoring view.The effective monitoring and management of aviation logistics transportation information is realized.

The application provides a formation unconformity trap identification method and device, a storage medium and electronic equipment, and relates to the technical field of oil and gas exploration.The method comprises the following steps: identifying an unconformity surface of a block to be explored based on pre-processed seismic data; performing seismic forward modeling on the identified unconformity surface to obtain formation overstripping boundary identification parameters; finely delineating a formation overstripping boundary based on the formation overstripping boundary identification parameters; predicting reservoir characteristics and effective reservoirs to obtain a reservoir body map; delineating a trap boundary based on the reservoir body map and the formation overstripping boundary and obtaining trap basic parameters to identify a formation unconformity trap.The technical scheme provided by the application can standardize and unify the identification of formation unconformity traps, and can accurately and effectively identify the formation unconformity traps, thereby improving the evaluation and management level of the formation unconformity traps.

The application provides a medicine cold chain logistics transportation whole-process tracking method and system, and relates to the technical field of logistics transportation monitoring. First, the original sensor tracking data stream output by the internal sensor cluster of a transportation carrier in a continuous collection time window is acquired. Then, the transportation carrier operation trajectory line is generated according to the geographic positioning parameters, and the multi-dimensional environment state marker set is generated by combining the physical parameters at the same time of each geographic position coordinate point. Meanwhile, the logistics transfer node topology connection network containing the logistics transfer node unit and the directed transfer path edge is constructed. The operation trajectory line, the multi-dimensional environment state marker set and the topology connection network are input into the pre-constructed space-time state feature fusion tracking model to generate the whole-process state tracking feature tensor. The abnormal state type identification and the space-time distribution feature are obtained by performing the abnormal state mode matching on the whole-process state tracking feature tensor, and the abnormal early warning instruction set is generated. The application can comprehensively and accurately track the whole process of medicine cold chain transportation, intelligently identify the abnormality and timely generate the early warning.

This invention belongs to the fields of water environment monitoring, watershed pollution simulation, and smart water management. Specifically, it provides an integrated air-space-ground small watershed water pollution monitoring system, comprising: an airborne monitoring module for collecting spatial distribution data of water quality across the entire small watershed; a ground-based monitoring module for collecting continuous temporal water quality and hydrological baseline data of the small watershed; a multi-source data management module for data processing; a model engine module for constructing and running a distributed hydrological and water quality mechanism model of the small watershed; an adaptive parameter optimization module for automatically calibrating and dynamically updating the parameters of the distributed hydrological and water quality mechanism model of the small watershed; an early warning and source tracing module for obtaining early warning and source tracing results; a long-term prediction module for obtaining water quality prediction results; and a visualization decision module for displaying early warning and source tracing results as well as water quality prediction results. This invention realizes the monitoring, early warning, source tracing, and long-term prediction of water pollution in small watersheds.

The application provides a train operation and maintenance data privacy statistical method, system, medium, equipment and program product, relates to the train data processing field, and through first collecting operation and maintenance data and operation and maintenance data fragments of a train control center, taking the operation and maintenance data as original data into a database, and completing data confusion processing by relying on a data confusion protocol, then performing alignment processing on the confused data to obtain to-be-calculated data, so that a plurality of statistical calculation tasks such as data alignment, mean variance and Pearson correlation coefficient can be carried out. The application fills the blank of privacy calculation in the train data analysis field, realizes safe convergence and value mining of multi-source operation and maintenance data, and improves the train operation and maintenance data management capability.

The invention relates to the technical field of operation efficiency evaluation, in particular to a civil aviation autonomous operation efficiency evaluation method, which comprises the following steps: acquiring operation information historical data which comprises operation information accumulated in the civil aviation operation process; multiple historical models are established based on the operation information historical data, each historical model is used for representing different autonomous operation scenes of the civil aviation, and each autonomous operation scene comprises a corresponding reference efficiency index; obtaining to-be-evaluated operation information, matching the to-be-evaluated operation information with a plurality of historical models, and obtaining a current autonomous operation scene; calculating an actual efficiency index corresponding to the current autonomous operation scene according to the to-be-evaluated operation information; performing visual comparison display on the actual efficiency index corresponding to the current autonomous operation scene and the reference efficiency index; the civil aviation operation efficiency can be comprehensively evaluated.

The utility model belongs to bridge engineering construction technical field especially relates to a kind of pier body pre-burying main reinforcement positioning fixture.This kind of pier body pre-burying main reinforcement positioning fixture, including upper layer positioning plate and lower layer positioning plate, upper layer positioning plate is detachably connected with first arc-shaped positioning plate by first dowel, lower layer positioning plate is detachably connected with second arc-shaped positioning plate by second dowel, upper and lower layer are assembled into double-layer positioning frame by boss and connecting sleeve;Positioning plate inside is provided with positioning bayonet, and arc-shaped compression plate is clamped in L-shaped clamping block, and the bidirectional screw thread transmission interval of adjusting sleeve is provided in resistance mechanism, and provide auxiliary support stiffness.The utility model realizes the perpendicularity control of main reinforcement by upper and lower double-layer positioning, and arc-shaped compression plate ensures that main reinforcement is stably fixed, and resistance mechanism provides structural stiffness, and dowel connection realizes quick assembly and disassembly and folding storage, avoid the problems such as main reinforcement deviation and fixture deformation in traditional positioning method.

A shaft power monitoring system based on wireless power supply and micro-strain measurement comprises a rotor, a stator, a wireless power supply system and a display end, the rotor part collects shafting strain signals through a strain gauge, and after signal conditioning and digital processing are completed through a microcontroller, non-contact transmission of data is achieved through a wireless transmitting module; meanwhile, electric energy required by operation is obtained through a wireless power supply receiving end and a rectifying circuit board; the stator part receives and analyzes data transmitted by the rotor through a wireless receiving module, and signal management and state monitoring are carried out by a microcontroller; meanwhile, a rotating speed measuring module arranged in the stator monitors the rotating speed of the shaft system in real time, and continuous and stable energy support is provided for the rotor through a direct-current power supply and a wireless power supply transmitting end. According to the invention, through combination of a high-precision micro-strain measurement technology, wireless power supply and wireless data transmission, technical difficulties of a traditional shaft power measurement system can be effectively solved.

The utility model discloses a kind of bag type packing material anti-continuous bag counting control device, including light sensing detection device, gravity sensor and the speed sensor being set on belt conveyor;The light sensing detection device includes light sensing generating device and light sensing probe receiving device;The light sensing generating device and light sensing probe receiving device are oppositely arranged;Belt conveyor both sides are respectively provided with the light sensing generating device and the light sensing probe receiving device;The bag type packing material anti-continuous bag counting control device further includes the counting controller for data processing according to light sensing detection device, gravity sensor and speed sensor;The belt conveyor is equipped with gravity sensor, and gravity sensor and light sensing detection device are at the same end of belt;The utility model realizes accurate judgment and accurate counting to bagged material continuous bag condition, solves the problem of inaccuracy of counting, high labor cost, low production efficiency caused by continuous bag when traditional bagged material loading counting.

The utility model relates to the technical field of warehouse picking, in particular to an online picking system, which comprises a picking bracelet and a 2.4 G gateway module, an ultrahigh frequency radio frequency module and a 2.4 G wireless module are arranged on the picking bracelet, the 2.4 G wireless module is electrically connected with the 2.4 G gateway module and the ultrahigh frequency radio frequency module respectively, the 2.4 G gateway module is electrically connected with an external background server, and the 2.4 G gateway module is electrically connected with the external background server. The ultrahigh frequency radio frequency module on the goods picking bracelet is used for reading label information of lighting labels on goods and transmitting the read label information to the 2.4 G wireless module, and the 2.4 G wireless module communicates with the 2.4 G gateway module and transmits the received label information to the background server through the 2.4 G gateway module; according to the picking bracelet in the scheme, the simplicity and convenience of the picking process are achieved through the combination of the ultrahigh frequency technology and the 2.4 G technology, and therefore the overall picking efficiency and the management level can be improved.

The utility model relates to tobacco machinery technical field provides a kind of turnover gripper and its robot, wherein, turnover gripper includes connecting frame, multiple embrace fork components, multiple drive components and at least one press-down component, multiple embrace fork components are oppositely and rotatably arranged on connecting frame, multiple embrace fork components mutually enclose and form gripping space, multiple embrace fork components have the first gripping state of opening gripping space and the second gripping state of mutually gathering closing gripping space in the process of rotation;Multiple drive components are arranged on connecting frame, and are connected with embrace fork component, and drive component is used to drive embrace fork component to rotate;Press-down component is connected on connecting frame, and press-down component is used to pre-press tobacco leaf in gripping space into special tobacco frame. The present application can realize the single repetitive work of complete gripping replacement, to improve production efficiency, while can reduce tobacco leaf scattering and overflow phenomenon, improve the management level of entire tobacco processing and warehousing link.

The utility model discloses a medicine visual label identifying and positioning device convenient for information display, which belongs to the technical field of label identifying and positioning, and comprises a cabinet body with an opening on one side, a plurality of support plates are fixedly mounted on the inner wall of the cabinet body, a plurality of supports are fixedly mounted on one side of the cabinet body, and the support plates are fixedly mounted on the other side of the cabinet body. A plurality of indicating seats are slidably mounted at the top end of the support, positioning assemblies are mounted at the bottom ends of the indicating seats, display screens are mounted on one sides of the indicating seats, indicating lamps are fixedly mounted at the top ends of the indicating seats, single-chip microcomputers are mounted in the indicating seats, and the single-chip microcomputers are electrically connected with the display screens and the indicating lamps. The device can accurately position medicines and visually display information, is flexible in installation and adjustment, simple in structure and low in cost, and effectively improves the medicine management efficiency and accuracy.

The invention provides a household garbage throwing behavior early warning method and system based on computer vision, and relates to the technical field of computer vision garbage throwing early warning, and the method comprises the steps: deploying a vision capturing device, delimiting a recovery equipment body, normal garbage throwing and peripheral throwing monitoring areas, and configuring dynamic video analysis parameters. Outputting a standardized visual monitoring system; capturing a putting behavior video stream through a standardized visual monitoring system, executing personnel target detection, motion trail tracking, garbage object feature recognition, putting behavior mode analysis and putting result validity evaluation, and outputting putting behavior analysis data; constructing a putting behavior grading system, calculating putting behavior characteristic parameters, carrying out behavior grading, and matching early warning instruction parameters; and an early warning instruction is generated according to the early warning instruction parameter, so that real-time monitoring, intelligent identification and graded early warning of garbage throwing behaviors are realized, the garbage throwing behaviors of the public are effectively standardized, and the urban environmental health management level is improved.

The present application relates to the technical field of vehicle-mounted fan monitoring, and particularly relates to a vehicle-mounted non-inductive brushless fan operation state data processing method and system. The method comprises: collecting a bus current signal under a preset starting sequence, obtaining a to-be-tested current sequence through processing, and obtaining a standard reference sequence; calculating a second-order difference feature of the standard reference sequence and constructing a weight model to obtain a weighted shortest path distance between the to-be-tested current sequence and the standard reference sequence; establishing a sliding window of historical qualified product distance values, calculating a dynamic batch reference value, and determining a relative deviation degree; extracting an energy feature of the to-be-tested current sequence, and using a multi-dimensional health assessment model to calculate a health confidence index and determine a fan state in combination with the relative deviation degree. That is, the scheme of the present application realizes full-process closed-loop intelligent detection through deep feature extraction and batch dynamic compensation, and solves the problem of extensive lag of the traditional threshold method.

The application provides a kind of city granularity-based vehicle transfer path calculation method, system and terminal machine, belongs to the field of vehicle path planning, constructs adjacent city data network;Vehicle path data network is constructed;According to the input condition, the shortest path between nodes is calculated using Dijkstra algorithm, and the strategy of greedy algorithm is adopted, the adjacent nodes of the vertex closest to the starting point and not visited are traversed each time, until the end point is expanded, to obtain the hottest route between any two nodes or multiple nodes.The method is based on the actual vehicle operating conditions, from the perspective of city transfer, analyzes the transfer trend and heat between cities, and provides an effective method for finding popular routes, with strong practical value.

This invention relates to a ventilation detection device for patients with myasthenia gravis based on testing and detection, comprising: a muscle strength monitoring module, including an electromyography (EMG) sensor for acquiring EMG signals and calculating a muscle strength index; a respiratory monitoring module, connected to a mechanical ventilation device, for acquiring the patient's respiratory rate, tidal volume, and inspiratory time parameters; a blood detection module for collecting blood samples from the patient and detecting the levels of inflammatory factors and anti-acetylcholine receptor antibodies in the blood; and a control module for receiving muscle strength index data, respiratory parameter change trend data, and blood detection data; when the muscle strength index is lower than a preset first threshold, the respiratory parameter change trend is inconsistent with a preset pattern, and the levels of inflammatory factors or anti-acetylcholine receptor antibodies in the blood are higher than a preset second threshold, patient-ventilator resistance is determined to exist during ventilation.

This invention discloses a data management information system for a small food testing laboratory, including a sample information management module, an automated task allocation module, a data storage module, a permission management module, and a human-computer interaction module. The sample information management module is used to input, edit, query, and maintain the entire lifecycle information of test samples in the small food testing laboratory. The automated task allocation module automatically allocates testing tasks to corresponding testing personnel and instruments based on the input sample testing items and the workload of the testing personnel. The data storage module stores sample monitoring information, and the permission management module assigns different data operation permissions and task management permissions according to user roles. The advantages of this invention compared to existing technologies are: it provides a convenient and intelligent task allocation system, method, device, and storage medium for data management in a small food testing laboratory, facilitating data query and management.

The invention relates to the technical field of early warning management and control, in particular to a security and disinfection integrated risk early warning management and control platform based on big data intelligent analysis. The data acquisition unit is used for acquiring environment state information and equipment operation state information of a target area through different sensors; the anomaly analysis unit establishes a temperature prediction model by using a recurrent neural network according to the environment state information and the equipment operation state data; the path planning unit uses an algorithm to plan an optimal evacuation path, and transmits the optimal evacuation path to the emergency response unit; and the emergency response unit is used for triggering an emergency response program when receiving the early warning signal. According to the platform, an accurate prediction result can be generated, a manager can be helped to formulate an emergency plan and a maintenance plan more scientifically, effective early warning can be made in a short time, meanwhile, the long-term accumulation effect is considered, false alarm and missing alarm are reduced, and the early warning accuracy and response speed are improved.

The invention provides an intelligent power and environment resource census method and device, electronic equipment and a storage medium, and relates to the technical field of communication network equipment management, and the method comprises the steps: recognizing an equipment image based on a preset large model, and obtaining the equipment information of target power and environment equipment; identifying the terminal panel image based on a preset large model to obtain terminal state information of each terminal of the target moving ring equipment; identifying the capacity identification image based on a preset large model to obtain terminal capacity information of each terminal; and associating the equipment information, the terminal state information and the terminal capacity information of the target moving ring equipment to generate resource census information of the target moving ring equipment. According to the method and the device provided by the invention, manual data acquisition is replaced by image acquisition and preset large model identification, so that the statistical efficiency of basic data of equipment resources is improved; the basic data of the equipment resources in the power and environment system are accurately obtained, and the management level of the equipment resources in the power and environment system is improved.

The invention discloses a search, rescue, monitoring and sightseeing integrated method and system for a water-land-air three-purpose motorcycle and the motorcycle, and belongs to the technical field of special vehicles. The motorcycle comprises a motorcycle body, a power system, a scene switching mechanism, a function integration module and a control system. A foldable floating body is arranged at the bottom of the vehicle body, telescopic rotors are arranged on the two sides of the vehicle body, and a switchable propelling device is arranged at the tail. The power system adopts a hybrid design to adapt to power requirements of different scenes; the scene switching mechanism realizes quick switching of three scenes of water, land and air; the function integration module integrates three core functions of search and rescue, environment monitoring and sightseeing. And the control system realizes whole-process cooperative control. The system comprises the motorcycle, a terminal control device and a cloud server, and realizes data interaction and remote scheduling. According to the method, a multi-scene task is completed through five steps of scene selection, switching, function starting, real-time regulation and control and task ending. The problems that an existing device is single in function and inconvenient in scene switching are solved, integration of multiple functions of the single device is achieved, scene adaptability and task efficiency are improved, and the device is suitable for water search and rescue, environment monitoring and sightseeing tourism scenes.

The application provides a face recognition system and method based on AI technology, and belongs to the field of image recognition.The system is suitable for security monitoring of smart communities or smart villages, and effectively improves the implementation efficiency and accuracy of security protection by realizing accurate face recognition and behavior analysis.The system mainly utilizes an incremental convolutional neural network and a sparse autoencoder.The whole system has the characteristics of stability, rapidity and accuracy, and can be widely used in the fields of security monitoring of smart communities and smart villages.The application solves some main problems in the application of face recognition technology, and provides a new method for effectively training on large-scale and dynamic data sets.

Guide rails of the goods shelf are symmetrically arranged on the two sides of the interior of a goods shelf body, bearing blocks and rear check blocks are arranged at the two ends of the guide rails, idler wheels are arranged on the two sides of the rear portion of a tray, bearing faces are arranged on the two sides of the front portion of the tray, and a traction block is arranged in the middle of the front portion of the tray. The forklift is located on the front side faces of the goods shelf bodies, traction clamping grooves in the surfaces of the shovel arms are matched with traction blocks on the bottom faces of the trays, the goods shelf bodies are arranged in rows, storage channels are formed between the adjacent goods shelf bodies, the forklift is in communication connection with the control panel cabinet, and the control panel cabinet is located on one sides of the goods shelf bodies and internally provided with storage space codes and goods lists of the trays in the goods shelf bodies. Slot coding information of goods needing to be stored and taken is input through the control panel cabinet, the control panel cabinet outputs a corresponding instruction to the forklift, and the forklift stores and takes the corresponding goods according to the lot coding information. The space utilization rate of the goods shelf is improved, semi-automatic storage and taking of tray heavy objects are achieved, and the warehousing operation efficiency and the management level are improved.

The application discloses a kind of optical current transformer key component state detection method and system, method includes: the CRS t Statistics and its statistical threshold value CRS c , carry out online self-detection;Establish the time series of the CRS t Statistics of representing the overall error state of three optical current transformers under the same node, calculate the fractal dimension of the time series, when the overall error state of three optical current transformers under the same node appears abnormal, according to the difference of fractal dimension, judge the degradation form of the overall error state of three optical current transformers under the same node;According to the degradation form, combine fault tree model, the abnormal influence source of optical current transformer measurement error is inversed, and the autonomous identification of optical current transformer fault position is realized;The application has the advantages that: method accurately deduces the abnormal influence source of optical current transformer measurement error, avoids security risks.

The utility model discloses a dendrobe planting rain-proof shed device which comprises a plurality of stand columns and a dendrobe seedbed, the stand columns are arranged in two rows, one side of each row of stand columns is fixedly connected with a cross beam, a first steel rope is fixed between every two opposite stand columns, a plurality of pulleys are clamped on the first steel ropes in a sliding mode, the bottoms of the pulleys are fixedly connected with connecting rings, and the connecting rings are connected with the connecting rings in a sliding mode. First buckles are connected to the bottom ends of the connecting rings in a clamped mode, the same double-layer plastic film is connected between the multiple first buckles in a clamped mode, and multiple second steel ropes are fixed between the two cross beams. The double-layer plastic film is automatically shrunk manually, the dendrobium planting environment is sufficient in illumination, organic salt is reasonably utilized, the temperature and humidity are reasonably controlled in high-temperature and high-humidity seasons, ventilation and light transmission in the greenhouse are improved, the incidence rate of diseases and pests is reduced by 15-20%, the intensive dendrobium planting environment and the management level are remarkably improved, the canopy does not need to be cleaned manually, and the cost is reduced. And the labor management cost is reduced.

The application belongs to the technical field of power electronic device state monitoring, and provides an IGBT junction temperature estimation method for a wind power converter based on electro-thermal coupling and aging self-adaption, comprising the following steps: step 1, first, historical operation data and finite element thermal simulation data of the wind power converter are acquired and preprocessed; step 2, then, an analysis model of the coupling of the IGBT solder layer aging failure mechanism and the heat transfer characteristic is analyzed and built; step 3, then, a CNN-LSTM-DM fusion neural network model is built based on actual operation time sequence data of the wind power converter; through the junction temperature estimation technology which does not depend on device internal parameter calibration and does not need additional hardware, the wind power converter can automatically monitor the real-time thermal state of the IGBT chip without changing the existing hardware architecture, greatly reducing the dependence on special temperature measuring equipment, reducing the system transformation cost, and improving the operation reliability and management level of the converter.

This utility model provides a device for preventing rebound of shotcrete in tunnels, including a main frame, a strong magnetic base, a barrier net, a jacking mechanism, a scraper plate, and hydraulic struts. After the steel arch frame is erected in the tunnel and before concrete spraying, the main frame is attached to the steel arch frame, and the anti-rebound device is attached to the surface of the steel arch frame using the strong magnetic base. Concrete is sprayed by placing the nozzle inside the barrier net, which effectively intercepts rebound particles and prevents the fresh layer from falling off. After spraying, the jacking mechanism pushes the scraper plate to move repeatedly, smoothing the sprayed concrete. This greatly reduces the amount of rebound of the shotcrete, saves concrete usage, reduces construction costs, and improves the construction quality of shotcrete.

The invention discloses a method, a device, a medium and equipment for intelligently deploying a drilling machine. The method comprises the steps that S10, a well drilling operation tracking theme library is constructed to obtain data of all available drilling machines and well sites, the well drilling operation tracking theme library comprises a well drilling dynamic database, and well drilling daily reports are stored in the well drilling dynamic database; s20, main work content of the drilling daily report is intercepted, data preprocessing is conducted on the intercepted content, and the drilling machine without the drilling footage state is screened out; and S30, outputting a drilling machine operation arrangement plan based on bilateral matching and a GSA algorithm so as to intelligently deploy the drilling machine in the drilling footage-free state. The method comprises the following steps: constructing a drilling operation tracking theme library to obtain data of all available drilling machines and well sites; by effectively fusing bilateral matching and the GSA algorithm, the allocation condition of the drilling machine can be efficiently and accurately tracked, the operation efficiency of drilling construction and the management level of drilling operation are improved, and the utilization rate of drilling machine resources is improved.

The utility model discloses a machine room wire harness multilayer partition type convenient arrangement suspension bracket, which relates to the technical field of machine room wire harness suspension and comprises a base, a vertical rod is fixedly arranged at the upper end of the base, and reinforcing blocks are symmetrically and fixedly arranged on two sides of the lower end of the vertical rod. The sliding frames can slide on the vertical rods so that the distance between the upper hanging plate and the lower hanging plate can be adjusted, the positioning rods are inserted into the positioning holes so that the sliding frames can be fixed, the multiple sets of moving frames can move on the hanging plates so that intervals can be formed between the moving frames, and therefore the space between the moving frames can be adjusted. Then the machine room wire harnesses can be sequentially hung on the hanging rods to prevent the wire harnesses from shifting and falling off, it is ensured that the wire harnesses are arranged neatly and orderly, later maintenance and arrangement are facilitated, the hanging layers are formed by the hanging plates and the hanging rods on the two sides, certain intervals are formed between the layers, a plurality of subareas are formed, and therefore the machine room wire harnesses can be conveniently hung on the hanging layers. Therefore, the wire harnesses can be suspended in a classified manner according to types, purposes or specifications of the wire harnesses, and different wire harnesses are prevented from being mixed.