117results about How to "Guaranteed growth" patented technology

The invention relates to an urban park physical examination evaluation system construction method based on a machine learning algorithm. The method comprises the following steps: S1) selecting an evaluation index set; s2) taking a park system, an urban comprehensive park, an urban community park and an urban micro-greenbelt collaborative group as evaluation scales, and selecting evaluation indexes from the evaluation index set; s3) acquiring specific data of evaluation indexes to form an index data set; s4) screening repeated indexes with complex collinear features in all index data sets by using a variance expansion coefficient; s5) clustering by using a K-medoids clustering algorithm, and S6) based on an SHAP machine learning algorithm, performing full sample analysis and outputting the importance degree of the index factors, and constructing an urban park physical examination assessment system based on the importance degree of the index factors.According to the method, subjectivity and uncertainty of a traditional assessment method can be avoided, the assessment efficiency is improved, and rapid updating can be performed.

The invention discloses a fuzzy evolutionary algorithm-based distributed photovoltaic and electrical load decoupling bus load prediction method and system for a power grid planning theme dynamic iteration method, and relates to the technical field of power dispatching. Comprising the steps of obtaining historical operation data of a to-be-predicted bus region; establishing a photovoltaic power generation and electrical load decoupling model of the access interval; dividing the bus load into time intervals according to the installed capacity proportion; constructing an electrical load prediction reference model of the non-accessed section; performing bus load prediction based on the decoupling model; and performing accuracy evaluation and iterative optimization on the prediction model. According to the method, the reliability and accuracy of prediction are ensured by acquiring the historical operation data and establishing the reference model, the data utilization efficiency is improved, the time intervals are divided according to the installed capacity proportion, the decoupling model of the distributed photovoltaic and electrical load is established, corresponding prediction strategies are adopted in different time intervals, and the adaptability of prediction is improved.

The invention provides an anomaly detection method and device, equipment, a storage medium, a product and a vehicle, the method is applied to the vehicle, the vehicle comprises a plurality of state machines, setting information of each state machine is determined based on a preset abnormal behavior pattern library, and the abnormal behavior pattern library comprises at least one abnormal behavior detection rule. The state table of each state machine comprises a normal state and an abnormal state; the method comprises the following steps: acquiring first information, wherein the first information comprises vehicle control information; when it is determined that first information corresponds to a first state transition event of a first state machine, an event processing function corresponding to the first state transition event is called, and the first state machine is transited to a first state from a current state; and when it is determined that the first state is an abnormal state, executing an exception handling process. According to the invention, the accuracy and efficiency of vehicle anomaly detection can be improved, and the method has high adaptability and expandability.

The invention provides a tuning device and a superconducting accelerator. The tuning device comprises an elastic piece, a fast tuning assembly and a connecting support. The fast tuning assembly comprises piezoelectric ceramics, a first mounting seat and a second mounting seat, and the first mounting seat is used for being fixedly connected with a liquid helium tank of the superconducting cavity; the connecting bracket is connected to the second mounting seat, and the connecting bracket is provided with an extrusion part acting on the beam port of the superconducting cavity in the first direction; wherein the first mounting base and the second mounting base are in sliding fit in the first direction, the piezoelectric ceramic is fixedly mounted between the first mounting base and the second mounting base, the first direction is consistent with the axial direction of the piezoelectric ceramic, and the two ends of the elastic piece transmit force to act on the first mounting base and the second mounting base respectively. And the distance between the first mounting seat and the second mounting seat is adaptively adjusted along with the change of the axial size of the piezoelectric ceramic. The tuning device is simple in mechanical structure and good in tuning precision and adjustment response speed.

The invention discloses a defect detection method and equipment based on an NV color center, and relates to the technical field of nondestructive testing. Comprising the following steps: preprocessing detection data obtained by magnetic flux leakage detection based on a diamond NV color center, and filtering out abnormal signals; filtering and denoising processing is carried out on the preprocessed data; and judging a defect signal according to the processed data and calculating the depth and width of the defect. According to the method, the reliability and the accuracy of detection data are ensured by establishing data preprocessing and filtering and denoising processes, the signal quality is improved, and interference is reduced; nV color center detection is carried out based on the magnetized leakage magnetic field, grading processing is carried out on detection data, and a corresponding data processing algorithm is adopted, so that the spatial resolution and sensitivity of detection are improved; an evaluation system is established through defect depth and width parameters, and the detection efficiency is improved.

The invention relates to the field of microbiological detection, in particular to a method for simultaneously and rapidly detecting at least two target objects, which comprises the following steps: S101, obtaining a first mixture; s102, obtaining a second mixture; s103, centrifuging the first mixture, collecting a first supernatant, centrifuging the second mixture, and collecting a second supernatant; s104, obtaining a third mixture; and S105, analyzing the existence and / or concentration of the first target object and / or the second target object in the sample to be detected according to the fluorescence intensity signal. The method has high detection sensitivity, good specificity, reproducibility, stability and anti-interference performance, and realizes enzyme-free, DNA-free, ultra-sensitive and wide-linear-range double-target detection.

The invention discloses a prawn culture-oriented ecological environment condition dynamic evaluation system, and relates to the technical field of culture, prawn metabolism states under different salinity are tested through a test module, the influence of salinity on prawn metabolism can be analyzed, an appropriate salinity range is preliminarily screened out by constructing an influence coefficient Yxxs, and the salinity of prawns can be evaluated according to the influence coefficient Yxxs. According to the method, the defects of traditional empirical judgment are overcome, salinity optimization is more scientific and digitized, and the survival rate and the culture efficiency of the prawns are improved. The survival rate Chz is obtained through secondary screening of the survival analysis module and in combination with survival conditions lasting for the same duration under different salinity, and the salinity in the culture pond is further optimized according to the value, so that the influence of salinity change on prawns can be continuously monitored, the culture environment can be dynamically adjusted, and the survival rate of the prawns is improved. It is ensured that prawns grow under the optimal survival condition, and therefore the death risk caused by environment changes is reduced.

The utility model discloses an anti-dropping neck strap for livestock raising, which relates to the field of livestock raising and comprises a neck strap head, a neck strap belt is arranged at the top end of the neck strap head, and the middle parts of two ends of the neck strap belt are movably connected with two ends of an adjusting device; a plurality of positioning holes are formed in the bottom of one end of the neck strap; a sensor is arranged at the inner top end of the neck strap; the bottom of the other end of the neck strap is sleeved with a lantern ring. Under the action of the adjusting device, in the growth process of livestock, the neck ring of the livestock does not need to be adjusted frequently, the phenomenon of frequent replacement of the neck ring is also avoided, it is guaranteed that the neck ring can be better attached to the neck of the livestock under the condition that the neck of the livestock is not pressed, normal operation of the sensor is facilitated, and the reliability of the livestock is improved. Therefore, the recorded data better fits the actual situation, and the healthy growth of livestock is ensured.

The invention relates to the technical field of aquaculture wastewater cyclic utilization, in particular to an aquaculture wastewater microalgae cyclic utilization system and a method thereof.The aquaculture wastewater microalgae cyclic utilization system comprises a raceway pond, a wastewater pretreatment mechanism and a power stirring mechanism, and a pipeline type photobioreactor is arranged on one side of the raceway pond; one side of the top end of the pipeline type photobioreactor is connected with a liquid storage tank, the bottom end of the liquid storage tank is connected with a second connecting pipe, the bottom end of the liquid storage tank is connected with a liquid discharging pipe, one end of the raceway pond is provided with a gas storage tank, one end of the gas storage tank is connected with a first connecting pipe, and the middle of the raceway pond is fixedly connected with a second partition plate. The system is high in applicability, high in stability and high in flexibility, the position is adjusted according to specific conditions, the microalgae culture cost of the system is low, the process is simple and convenient, the benefits of a user are improved, meanwhile, waste water generated by aquaculture can be recycled and turned into wealth, secondary pollution to the environment is avoided, and the environment can be protected.

The invention discloses a smart contract re-entry attack vulnerability analysis method and system. The method comprises the following steps: collecting smart contracts containing re-entry attack vulnerabilities and security verification; marking a corresponding label according to the type of the smart contract, and performing feature extraction on the smart contract; constructing a random forest model, and performing training optimization on the random forest model based on the feature data set to obtain a reentry attack vulnerability judgment model; performing online detection and monitoring on the reentry attack vulnerability judgment model to obtain a new reentry attack behavior data set; and retraining the reentry attack vulnerability judgment model to obtain an updated reentry attack vulnerability judgment model. The system comprises a data collection module, a feature extraction module, a model training module, a monitoring module and a model updating module. According to the invention, the re-entry attack vulnerability in the smart contract can be accurately detected and prevented, and the security and reliability of the block chain system are ensured. The method can be widely applied to the technical field of block chains.

The invention provides an artificial breeding method of spinibarbus capito, which is suitable for Dongting Lake in Hunan Province and four water basins of Hunan, Zi, active yuan and halite, and comprises the steps of parent fish rearing, artificial spawning induction and artificial incubation, and spawning can be carried out for 1-2 times in one year. In the spinibarbus capito parent fish rearing process, puffed floating fish feed is used as a main material and properly matched with green feed, animal bait is added for feeding 2 months before winter, accumulation of fish body fat can be guaranteed so that the fish can smoothly pass the winter, vitamin E, vitamin C and flowing water stimulation are supplemented in the feed before antenatal, and ovary development and ovum maturation can be effectively promoted; the artificial spawning induction adopts a two-needle injection method, the spawning induction efficiency is high, and the fertilization rate is high; through comparison of different hatching devices, the hatching effect of the hatching frame is best, the hatching rate reaches 80% or above, the hatching barrel is inferior, and the small net cage is worst. By means of the artificial propagation method, large-scale production of spinibarbus capito can be achieved, and the method is of great significance in improving the economic benefits of farmers and popularizing the spinibarbus capito artificial propagation technology.

The invention belongs to the technical field of industrial residual life, discloses a DTSIGAN data enhancement method and system for the residual life of industrial equipment under unbalanced missing data, and solves the problems that a data set is small in scale, data is unbalanced and missing values exist. By providing a solid data basis, the application efficiency of the data-driven artificial intelligence technology in prediction of the residual life of the industrial equipment is improved. According to the method, a time sequence generation adversarial network is optimized by adopting a cyclic dynamics interpolation algorithm, a mask matrix, a time interval matrix and a time decay factor are introduced, missing value features are dynamically captured and analyzed, and a missing value interpolation process is optimized. In order to enhance the stability of the model, the Wasserstein distance and the gradient penalty term are combined, the loss function of the generative network and the discriminant network is optimized, gradient disappearance and explosion are effectively avoided, the stability of the training process is ensured, and the synthesis capability of high-quality time series data is improved.

The invention discloses a construction method of an expressway maintenance knowledge graph, relates to the technical field of graph construction, and solves the technical problems that most knowledge exists in a scattered and disordered form and lacks effective integration and utilization, and the requirements for rapid query, accurate application and intelligent decision support of expressway maintenance knowledge are difficult to meet. According to the method, multiple entity extraction and relation determination methods are adopted, entities and relations can be more comprehensively and accurately recognized from text data, richer, more detailed and logical knowledge extraction results are generated through extraction of entity attributes and secondary classification based on the attributes, and for a reliability evaluation mechanism of newly-added knowledge, the reliability of the newly-added knowledge is improved. Comprehensive judgment is performed from multiple aspects of source, content integrity and timeliness, and complementary fusion with old knowledge is considered when newly added knowledge is processed, so that the knowledge system can be ensured to always keep advancement, integrity and accuracy.

The utility model relates to agricultural equipment for improving edible and medicinal fungus cultivation soil, and belongs to the technical field of edible (medicinal) fungus cultivation. The agricultural tractor mainly comprises a material bin and a liquid medicine tank which are both mounted on a frame at the rear end of the agricultural tractor, a cloth conveying belt is mounted at the bottom of the material bin, a liquid medicine spraying device is mounted at the bottom of the frame and connected with the liquid medicine tank through a booster pump, and a ploughing device is mounted at the tail end of the frame. The agricultural tractor walks along edible (pesticide) fungus planting ridges, materials used for improving soil in the material bin are evenly laid on the ridges through the material distribution conveying belt, a soil improvement agent in the liquid medicine tank is sprayed on the ridges through the liquid medicine spraying device, ploughing and mixing are conducted through the ploughing device, even stirring is guaranteed, and the soil improvement effect is guaranteed. The growth of edible (medicinal) fungi can be better promoted; and the working efficiency is improved, the labor intensity is reduced, and the labor cost is reduced.

An endoscope image enhancement method, system, medium and product, relate to the field of image processing. The method comprises: acquiring an initial endoscope RGB image and decomposing it into three gray channels R, G and B; constructing an initial gray mapping function to map all initial gray values to target gray values; based on the set of target gray values of each pixel point, determining the optimal mapping parameters corresponding to each gray channel through a preset optimization objective function, so that the color difference of the enhanced image reaches a preset enhancement ratio with respect to the color difference of the initial image; updating the initial gray mapping function to obtain the optimal gray mapping function corresponding to each gray channel; mapping all initial gray values to optimal gray values and fusing all gray channel images to obtain an enhanced endoscope RGB image. The present application can meet the high-precision detection requirement of identifying defects or abnormalities through color difference.

This invention discloses a LiDAR point cloud data completion system and method based on a PCN model, belonging to the field of point cloud data processing technology. It is used to complete LiDAR point cloud data with complex occlusion. The system includes a data loading module, a data processing module, a data completion module, a model training and optimization module, and a data visualization module. The method includes acquiring raw point cloud data files, reading and preprocessing multi-format point cloud files, constructing a dataset, building a point cloud data completion model based on a PCN model, training and validating the model based on the dataset, acquiring a weight file, and performing data completion on point cloud data with complex occlusion based on the weight parameters. This invention solves problems such as poor data format compatibility of existing PCN models, numerical overflow or training instability when the point cloud data coordinate range is large, and low robustness of point cloud file matching and loading, thereby improving the accuracy of sparse point cloud data completion.

The utility model discloses a kind of storage devices for rice finished oil, including support frame, the support frame is clamped and mounted oil tank, rotary setting rotating rod in oil tank, rotating rod upper end penetrates oil tank upper end cover, its end socket joint ring handle, lower end is connected on axle seat, the lower end of the bottom scraper is clamped and connected on the outer curved surface of axle seat, the upper end of bottom scraper is connected on the axle sleeve by short knife support, bottom scraper upper side is provided with side scraper, the cutting edge of side scraper and bottom scraper is attached to tank inner wall and lower hopper inner wall, lower hopper is connected to oil tank lower end, the both ends of side scraper are connected on axle sleeve by long knife support, axle sleeve is socketed on rotating rod, lower hopper lower end is connected oil discharge pipe;With simple structure, reasonable in design, novel and unique thought, by injection hopper to inject rice finished oil into oil tank to store, and oil residue will be deposited in edible oil storage process, by two groups of scraper on inner wall rotation scraping and cleaning oil residue, can avoid oil residue to be bonded on tank inner wall, in addition, rice finished oil of oil tank is discharged thoroughly, ensure that oil tank has no residual oil storage.

The utility model discloses a flue-cured tobacco seedling raising warming device in the technical field of flue-cured tobacco seedling raising, which comprises a fixing frame and a greenhouse body, the greenhouse body is arranged on the surface of the fixing frame, the greenhouse body is fixedly connected with the fixing frame, an air inlet pipe is arranged at the top of the greenhouse body, a heating wire is arranged in the air inlet pipe, and the heating wire is connected with the fixing frame. The heating wire is fixedly connected with the air inlet pipe, a fan is further arranged in the air inlet pipe, a dustproof net is arranged on the surface of the air inlet pipe, the dustproof net is fixedly connected with the air inlet pipe, an activated carbon layer is arranged in the air inlet pipe, and the activated carbon layer is detachably connected with the air inlet pipe. The flue-cured tobacco seedling greenhouse has the advantages that the flue-cured tobacco seedling greenhouse is provided with the air inlet pipe, the heating wire, the fan, the activated carbon layer and the dustproof net, accordingly, the inside of the greenhouse can be heated, ventilation effects can be improved, entering air can be filtered by the aid of the dustproof net and the activated carbon layer, external dust can be prevented from entering the greenhouse and affecting flue-cured tobacco seedlings, and the quality of the flue-cured tobacco seedlings can be improved.

The invention discloses a Ka-band broadband low-noise amplifier based on a mixed feedback mode and a design method and device thereof. The Ka-band broadband low-noise amplifier comprises an input matching network, a single-section microstrip line coupling feedback network, an inter-stage matching network, a resistance negative feedback network, a three-section microstrip line coupling feedback network and an output matching network. And an active bias network is assisted to ensure the working stability. The circuit is composed of two stages of circuits, the preceding stage circuit adopts a cascode transistor amplifier to minimize noise, and the backward stage circuit adopts a cascode structure to improve linearity and bandwidth. Simulation results show that in the frequency band of 25-40 GHz, the amplifier achieves the excellent performance that the gain is higher than 20 dB, the flatness is 0.6 dB, the noise coefficient is 1.43-1.75 dB, the output 1dB compression point is larger than 5.5 dBm, and the direct-current power consumption is only 40.6 mW. According to the low-noise amplifier, the problems of gain roll-off, high noise, limited bandwidth and the like of a traditional low-noise amplifier in broadband application are solved by innovatively combining a resistance negative feedback technology and a microstrip line coupling feedback technology.

The utility model discloses a silicone oil emulsifying and adding device which comprises a silicone oil emulsifying and adding assembly, the silicone oil emulsifying and adding assembly comprises a silicone oil emulsifying and adding tank, a liquid outlet adding pipe communicated with the bottom surface of the silicone oil emulsifying and adding tank, and a controller arranged on the outer surface of the silicone oil emulsifying and adding tank; a liquid outlet triggering assembly, the liquid outlet triggering assembly comprises a first vertical pipe communicated with the interior of the silicone oil emulsifying and adding tank, a first through hole formed in the surface of the first vertical pipe, a circular shaft arranged in the first vertical pipe, a sleeve sleeved with the circular shaft, a fan blade connected to the surface of the sleeve, and a pressure sensor arranged on the surface of the fan blade; and a standby transmission assembly. Through mutual cooperation of the silicone oil emulsifying and adding assembly, the liquid outlet triggering assembly and the standby transmission assembly, liquid outlet of the pipeline is sensed in real time, and once the pipeline is blocked, the standby pipeline is automatically started immediately to add a silicone oil emulsifying agent.

The present application discloses a lightning broadband magnetic field signal detection antenna system, including a magnetic antenna and an amplifying circuit connected to the magnetic antenna; the magnetic antenna includes two vertically cross-distributed magnetic rings, and the magnetic rings are cross-arranged with the center line of the plane as the axis. The present application utilizes the unique magnetic field change rate (dB / dt) measurement characteristics of the magnetic ring antenna itself to control the cutoff frequency of the high-frequency end in the frequency band, and through the amplifying circuit, the entire frequency band always maintains the dB / dt gain characteristics, so that the signal at the high-frequency end can obtain a gain of more than 20dB, effectively ensuring the measurement of high-frequency pulse signals, so that the low-frequency positioning system can obtain more high-frequency radiation source positioning information, further enriching the applicable scenarios of the low-frequency positioning system.

The invention discloses an ultra-short pulse optical parametric oscillator based on a bicrystal structure, and relates to a laser and an assembly, and the oscillator comprises a first beam shaper (2) which is used for shaping idler frequency light (1); a second beam shaper (4) for shaping the pump light (3); a dichroscope (5); the first nonlinear crystal (6) is arranged on a light emitting path of the dichroscope (5), and the first nonlinear crystal (6) is used as an input coupling mirror of the optical parametric oscillator; the second nonlinear crystal (7) is arranged on a light emitting path of the first nonlinear crystal (6), and the first nonlinear crystal (6) and the second nonlinear crystal (7) form a resonant cavity; and the three-direction color mirror (9) is arranged on a light emitting path of the second nonlinear crystal (7) and is used for separating the pump light, the signal light (8) generated by nonlinear frequency conversion and the amplified idle frequency light (1) and transmitting and outputting the idle frequency light. The conversion efficiency of the optical parameter amplification process is improved, and the overall amplification performance of the optical parameter amplifier is guaranteed.

This utility model discloses a lotus planting pond, including a planting pond body and a water storage tank. Multiple partitions are fixed inside the planting pond body, each partition having a drainage structure. A water pump is installed between the planting pond body and the water storage tank to pump water from the storage tank into the planting pond body. A water outlet structure is provided on one side of the planting pond body, including outlet pipe one, outlet pipe two, and outlet pipe three. This application, through the planting pond body, partitions, drainage structure, and water outlet structure, allows for corresponding adjustments to the water level in the planting pond body at different growth stages of the lotus, ensuring optimal water levels for lotus growth during the seedling, growth, and flowering stages. This helps guarantee the survival rate and growth vigor of the lotus at different stages, resulting in better lotus growth and enhanced ornamental value.

The application provides a pickling unit automatic speed control method and system based on multi-factor constraints, and relates to the technical field of cold-rolled strip steel production. In view of the defects that the existing control relies on manual operation or primary automation and is difficult to cope with multiple constraints and instantaneous working conditions, the method comprises the following steps: constructing a multi-factor constraint model covering process, equipment, logistics, acid liquid and instantaneous working conditions; collecting corresponding data in real time; dynamically calculating a global optimal speed setting value through multi-layer decision logic, calculating a basic speed first and then superimposing an instantaneous working condition constraint, and directly triggering emergency disposal through high-priority alarm; issuing an instruction for execution and closed-loop feedback, and combining machine learning for self-learning optimization. The application realizes automatic intelligent control of the unit speed, guarantees quality and equipment safety, improves production efficiency and continuity, and reduces energy consumption cost.

The invention discloses a fish image recognition method and system based on deep learning, and the method designs a Bilatal-Net underwater image enhancement model which comprises a mixed domain self-attention-based contrast enhancement module, a bilateral feature fusion module and a multi-dimensional loss function module. A contrast enhancement module based on mixed domain self-attention is introduced, a bilateral feature fusion module is designed for detail blurring of an underwater image to enhance detail features of the image, and a multi-dimensional loss function is designed for color deviation of the underwater image. Aiming at the characteristics of large inter-class difference and small intra-class difference of fish images, a FishResNet18 fish recognition model of an attention residual module based on a channel domain and a spatial domain is proposed, extraction of important features in the fish images is stimulated from two aspects of the channel and the spatial domain, the learning effect is improved, meanwhile, the degradation phenomenon of CNN is reduced, and the recognition efficiency is improved. And the recognition efficiency of the fish image is improved from local to global.

The utility model discloses a vehicle girder structure which comprises longitudinal beams, cross beams and a reinforcing beam, a plurality of cross beams are fixed on the two longitudinal beams, the reinforcing beam is further fixed at one end of each longitudinal beam, and the reinforcing beam is located on the end portion of a girder close to a vehicle head. The stiffening beam is located at the head position of the girder, the stiffening beam needs to be connected with a vehicle head at the position, the number of functional components is large, a vehicle can be provided with a mechanism for supporting a compartment to tilt at the position, and therefore the damage risk of the girder at the position is large. The reinforcing beam is fixed between the two longitudinal beams, the bearing capacity and the shear and deformation resistance are enhanced, after reinforcement, larger prestress can be borne, other functional components can be installed at ease, the connection performance with a vehicle head is enhanced, the safety coefficient is improved, and the service life is longer.

The invention discloses a method for increasing cholesterol in hippocampus, a feed and a preparation method, and belongs to the field of aquaculture. The invention provides a feed that is beneficial to cholesterol accumulation in hippocampus, including soybean meal, sodium alginate, vitamin premix, mineral premix, choline chloride, calcium dihydrogen phosphate, taurine, astaxanthin, soybean protein concentrate, soybean lecithin, fish meal, dextrin, fish oil, soybean oil, cellulose, wherein the lipid content is 3-15%, the sugar content is 15-30%, and the protein content is 30-45%. The preparation method comprises the following steps: S1, crushing; S2, mixing; S3, granulation. The invention uses the above-mentioned feed to feed hippocampus and thus increase the cholesterol content in hippocampus. The feed has a high conversion rate in hippocampus, solves the problems of water pollution and pathogen infection caused by feed deterioration, and improves the survival rate of hippocampus.

The utility model relates to a kind of municipal inspection well mouth suspension formwork devices, its structure includes support frame, adjustable suspension mechanism and adjustable well mouth formwork;Adjustable well mouth formwork is enclosed into circle, adjusting hole is respectively set in the two ends of adjustable well mouth formwork, and fastening bolt is threaded in adjusting hole, the two ends of adjustable well mouth formwork are fixedly connected by fastening bolt, at least three adjustable suspension mechanisms are provided on support frame, adjustable suspension mechanism lower end is connected with adjustable well mouth formwork.It also includes two adjustable inner support rods, four insertion sleeves are provided on the inner wall of adjustable well mouth formwork, two adjustable inner support rods are cross set, the two ends of adjustable inner support rod are respectively inserted with one insertion sleeve, the inner diameter of insertion sleeve is greater than the diameter of adjustable inner support rod end portion.The utility model can effectively guarantee the structure size, position and elevation of inspection well well mouth, and can effectively improve construction quality.The utility model is simple to install, convenient to adjust, and is convenient for repeated use.

The present invention discloses a hydraulic suspension system, a vehicle, a vehicle control method and a system. The hydraulic suspension system comprises: a front suspension, comprising a front suspension shock absorber; a rear suspension, comprising a rear suspension shock absorber; a central hydraulic cylinder, comprising a first chamber, a second chamber and a piston, wherein the first chamber is connected to the front suspension shock absorber, and the second chamber is connected to the rear suspension shock absorber. Under the action of the front suspension shock absorber or the rear suspension shock absorber, the piston makes the volume change of the first chamber and the second chamber consistent. The present invention arranges a central hydraulic cylinder in the hydraulic suspension system, and through the action of the front suspension shock absorber and the rear suspension shock absorber, the piston of the central hydraulic cylinder is driven to change the volume of the first chamber and the second chamber, thereby adjusting the flow direction of the oil in the oil circuit, changing the position of the piston in the front and rear suspension shock absorbers, and then adjusting the posture of the front or rear end of the vehicle, so as to achieve the adjustment of the pitch posture of the vehicle, such as reducing the head-up angle or the nod angle, thereby improving the driving comfort and safety.